CN114438204B - Platelet molecular marker for lung cancer, kit and detection method - Google Patents

Platelet molecular marker for lung cancer, kit and detection method Download PDF

Info

Publication number
CN114438204B
CN114438204B CN202111634283.1A CN202111634283A CN114438204B CN 114438204 B CN114438204 B CN 114438204B CN 202111634283 A CN202111634283 A CN 202111634283A CN 114438204 B CN114438204 B CN 114438204B
Authority
CN
China
Prior art keywords
lung cancer
flna
platelet
gapdh
gene
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN202111634283.1A
Other languages
Chinese (zh)
Other versions
CN114438204A (en
Inventor
祖瑞铃
罗怀超
文霄瑕
李玉苹
张开炯
刘畅
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Sichuan Cancer Hospital
Original Assignee
Sichuan Cancer Hospital
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Sichuan Cancer Hospital filed Critical Sichuan Cancer Hospital
Priority to CN202111634283.1A priority Critical patent/CN114438204B/en
Publication of CN114438204A publication Critical patent/CN114438204A/en
Application granted granted Critical
Publication of CN114438204B publication Critical patent/CN114438204B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • CCHEMISTRY; METALLURGY
    • C12BIOCHEMISTRY; BEER; SPIRITS; WINE; VINEGAR; MICROBIOLOGY; ENZYMOLOGY; MUTATION OR GENETIC ENGINEERING
    • C12QMEASURING OR TESTING PROCESSES INVOLVING ENZYMES, NUCLEIC ACIDS OR MICROORGANISMS; COMPOSITIONS OR TEST PAPERS THEREFOR; PROCESSES OF PREPARING SUCH COMPOSITIONS; CONDITION-RESPONSIVE CONTROL IN MICROBIOLOGICAL OR ENZYMOLOGICAL PROCESSES
    • C12Q1/00Measuring or testing processes involving enzymes, nucleic acids or microorganisms; Compositions therefor; Processes of preparing such compositions
    • C12Q1/68Measuring or testing processes involving enzymes, nucleic acids or microorganisms; Compositions therefor; Processes of preparing such compositions involving nucleic acids
    • C12Q1/6876Nucleic acid products used in the analysis of nucleic acids, e.g. primers or probes
    • C12Q1/6883Nucleic acid products used in the analysis of nucleic acids, e.g. primers or probes for diseases caused by alterations of genetic material
    • C12Q1/6886Nucleic acid products used in the analysis of nucleic acids, e.g. primers or probes for diseases caused by alterations of genetic material for cancer
    • CCHEMISTRY; METALLURGY
    • C07ORGANIC CHEMISTRY
    • C07KPEPTIDES
    • C07K14/00Peptides having more than 20 amino acids; Gastrins; Somatostatins; Melanotropins; Derivatives thereof
    • C07K14/435Peptides having more than 20 amino acids; Gastrins; Somatostatins; Melanotropins; Derivatives thereof from animals; from humans
    • C07K14/46Peptides having more than 20 amino acids; Gastrins; Somatostatins; Melanotropins; Derivatives thereof from animals; from humans from vertebrates
    • C07K14/47Peptides having more than 20 amino acids; Gastrins; Somatostatins; Melanotropins; Derivatives thereof from animals; from humans from vertebrates from mammals
    • CCHEMISTRY; METALLURGY
    • C12BIOCHEMISTRY; BEER; SPIRITS; WINE; VINEGAR; MICROBIOLOGY; ENZYMOLOGY; MUTATION OR GENETIC ENGINEERING
    • C12QMEASURING OR TESTING PROCESSES INVOLVING ENZYMES, NUCLEIC ACIDS OR MICROORGANISMS; COMPOSITIONS OR TEST PAPERS THEREFOR; PROCESSES OF PREPARING SUCH COMPOSITIONS; CONDITION-RESPONSIVE CONTROL IN MICROBIOLOGICAL OR ENZYMOLOGICAL PROCESSES
    • C12Q1/00Measuring or testing processes involving enzymes, nucleic acids or microorganisms; Compositions therefor; Processes of preparing such compositions
    • C12Q1/68Measuring or testing processes involving enzymes, nucleic acids or microorganisms; Compositions therefor; Processes of preparing such compositions involving nucleic acids
    • C12Q1/6844Nucleic acid amplification reactions
    • C12Q1/6851Quantitative amplification
    • CCHEMISTRY; METALLURGY
    • C12BIOCHEMISTRY; BEER; SPIRITS; WINE; VINEGAR; MICROBIOLOGY; ENZYMOLOGY; MUTATION OR GENETIC ENGINEERING
    • C12QMEASURING OR TESTING PROCESSES INVOLVING ENZYMES, NUCLEIC ACIDS OR MICROORGANISMS; COMPOSITIONS OR TEST PAPERS THEREFOR; PROCESSES OF PREPARING SUCH COMPOSITIONS; CONDITION-RESPONSIVE CONTROL IN MICROBIOLOGICAL OR ENZYMOLOGICAL PROCESSES
    • C12Q2600/00Oligonucleotides characterized by their use
    • C12Q2600/166Oligonucleotides used as internal standards, controls or normalisation probes

Landscapes

  • Chemical & Material Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Organic Chemistry (AREA)
  • Proteomics, Peptides & Aminoacids (AREA)
  • Zoology (AREA)
  • Genetics & Genomics (AREA)
  • Engineering & Computer Science (AREA)
  • Wood Science & Technology (AREA)
  • Biophysics (AREA)
  • General Health & Medical Sciences (AREA)
  • Immunology (AREA)
  • Molecular Biology (AREA)
  • Biochemistry (AREA)
  • Analytical Chemistry (AREA)
  • Biotechnology (AREA)
  • Pathology (AREA)
  • Physics & Mathematics (AREA)
  • Microbiology (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • General Engineering & Computer Science (AREA)
  • Oncology (AREA)
  • Hospice & Palliative Care (AREA)
  • Medicinal Chemistry (AREA)
  • Gastroenterology & Hepatology (AREA)
  • Toxicology (AREA)
  • Chemical Kinetics & Catalysis (AREA)
  • Measuring Or Testing Involving Enzymes Or Micro-Organisms (AREA)

Abstract

The invention provides application of a platelet molecular marker for lung cancer in preparation of a lung cancer detection kit, wherein the base sequence of the molecular marker is shown as SEQ ID NO. 1. The molecular marker is a TEPs specific gene for diagnosing lung cancer, the detection mode is simple, and the rapid relative quantitative detection can be realized by adopting real-time fluorescent quantitative PCR.

Description

Platelet molecular marker for lung cancer, kit and detection method
Technical Field
The invention belongs to the technical field of biomedical detection, and particularly relates to a platelet molecular marker for lung cancer.
Background
Lung cancer has become one of the common tumors at home and abroad, and the morbidity and mortality rate of the lung cancer are high. However, due to the popularity of low-dose lung CT (LDCT) in physical examination in recent years, a large number of lung cancer patients can find and perform operations in early stages, and the mortality rate of the patients is remarkably reduced. In addition to lung cancer, many benign diseases can also be represented by small nodules (diameter 10mm or less), and it is difficult to determine whether they are benign or malignant by LDCT alone. For nodules that cannot be judged by LDCT, diagnosis is often confirmed by needle biopsy or pathological examination after surgical resection. Puncture biopsy is an invasive examination, and the puncture difficulty of a small nodule is high, so that false negative results are easy to occur. And the doctor judges that 20-50% of the nodes of the patient who performs the operation are benign through postoperative pathology, which not only brings unnecessary wounds to the patient, but also increases the economic burden of the patient to a certain extent. Therefore, liquid biopsy is used as a rapid and noninvasive diagnosis mode and becomes a research hot spot for accurately diagnosing lung cancer in early stage.
Liquid biopsy procedures currently under investigation for diagnosing lung cancer include Circulating Tumor Cells (CTCs), micrornas (miRNAs), cell free DNA (cfDNA), and the like. CTCs are tumor cells that metastasize from the primary tumor to the whole body in the blood circulation, which can help diagnose tumor and determine patient prognosis by detecting CTCs, but a multi-center study published in Lancet Respir Med indicated that CTCs have a sensitivity of only 26.3% for lung cancer (95% ci 11.8-48.8), thus suggesting CTCs are not suitable for screening for lung nodules; miRNA is a non-coding, short and single-stranded RNA, abnormal expression of miRNA participates in proliferation, metastasis, invasion and angiogenesis of tumor cells, and quantitative PCR is used for detecting the miRNA level in the blood of a patient to assist diagnosis of benign and malignant lung nodules, but because microRNAs are short in length and easy to degrade, separation and storage are relatively difficult, and the miRNA is not suitable for being developed in clinical routine; cfDNA is a DNA fragment released into the blood due to apoptosis or necrosis, and cfDNA in tumor patients has the same genetic and epigenetic changes as tumors, indicating that they originate from tumor cells, also called circulating tumor DNA (ctDNA), but ctDNA has a short half-life in the blood of about 30 minutes to 2 hours, and treatment and analysis methods are not standardized, and there are difficulties in clinical application.
It follows that although these hotspot indicators have a better role in differentiating lung nodules, there are difficulties in clinical application or lung nodule screening. Therefore, finding a method or biomarker which can accurately distinguish benign and malignant lung nodules and is convenient to develop clinically can realize a great breakthrough in accurate diagnosis of early lung cancer.
Disclosure of Invention
Aiming at the technical problem that the early lung cancer diagnosis is not suitable for clinical molecular indexes, the invention provides a platelet molecular marker for lung cancer.
When platelets come into contact with tumor cells or tumor-associated proteins, the platelets can be taught and change the RNA profile to tumor teaching platelets (TEPs). The invention discovers that mRNA with obvious differential expression exists in platelets of normal people and lung cancer patients through sequencing, and screens out that filamin A (FLNA) gene presents low expression in serum and relatively high expression in TEPs, thus being a TEPs specific gene for diagnosing lung cancer. The detection mode is simple, and the rapid relative quantitative detection can be realized by adopting real-time fluorescence quantitative PCR.
In order to achieve the purpose of the invention, the technical scheme adopted by the invention is as follows:
the application of a platelet molecular marker for lung cancer in preparing a lung cancer detection kit is provided, wherein the base sequence of the molecular marker is shown as SEQ ID NO. 1.
The invention provides a lung cancer detection kit, which comprises an upstream primer and a downstream primer of a platelet molecular marker.
The base sequence of the upstream primer FLNA-F (5 'to 3'): TCATTCGTGCCCAAGGAGAC
The base sequence of the downstream primer FLNA-R (5 'to 3'): CTGACCAGAGACCCGAACAC
Preferably, the kit further comprises GAPDH internal reference gene primers;
base sequence of GAPDH-F (5 'to 3'): GGAGCGAGATCCCTCCAAAAT
Base sequence of GAPDH-R (5 'to 3'): GGCTGTTGTCATACTTCTCATGG.
The invention also provides a detection method of the lung cancer detection kit, which comprises the following steps:
1) Extracting total RNA of a platelet sample to be detected and normal tissues, and synthesizing cDNA by reverse transcription;
2) Using cDNA as a template, performing FLNA gene amplification by adopting fluorescent quantitative PCR under the guidance of the upstream primer and the downstream primer, and amplifying GAPDH reference genes, and simultaneously detecting fluorescent values and CT values of the FLNA gene and the GAPDH gene;
3) The relative quantification of GAPDH was used to calculate the expression level of the molecular markers.
Preferably, the fluorescent quantitative PCR reaction conditions are set: pre-denaturation at 95 ℃ for 30s, denaturation at 95 ℃ for 5s, annealing at 60 ℃ for 30s, 40 cycles total, and collecting fluorescent signals; a dissolution profile analysis was performed at 60-95℃to determine the identity of the amplified product.
The invention has the beneficial effects that:
according to the invention, through analyzing the platelet RNA sequencing data of the non-small cell lung cancer, the FLNA gene is finally screened out to have stable expression in platelets and low expression in serum. The FLNA gene is used as a molecular marker for screening lung nodules for diagnosing lung cancer for the first time, is used for distinguishing lung nodule groups with benign and malignant lung nodules, has higher sensitivity and specificity, and is a TEPs specific gene for diagnosing lung cancer; and the rapid relative quantitative detection can be realized through real-time fluorescence quantitative PCR, the detection mode is simple, and the clinical popularization and application are convenient.
Drawings
FIG. 1 is a volcanic chart of differential genes between lung cancer and normal populations.
FIG. 2 shows functional enrichment analysis (A, B, C, D) and protein interaction analysis (E) of FLNA gene.
FIG. 3 is a comparison of the expression of FLNA gene in platelets and serum.
FIG. 4 shows the expression of the FLNA gene among malignant nodules, benign nodules and normal populations.
FIG. 5 is a ROC curve of relative expression level of FLNA gene for diagnosing lung cancer.
FIG. 6 is a ROC curve of FLNA gene relative expression levels for distinguishing between benign and malignant nodule populations.
Detailed Description
The invention will be further described by the following examples for the purpose of more clearly and specifically describing the object of the invention. The following examples are only for specific illustration of the implementation method of the present invention and do not limit the protection scope of the present invention.
Differential gene screening
Analysis of TEPs RNA-Seq sequencing data of 55 normal persons and 60 NSCLC in GEO database resulted in total screening out 123 differentially expressed genes associated with non-small cell lung cancer (NSCLC), of which 66 up-regulated genes and 57 down-regulated genes were combined (fig. 1). Expressed according to PValue less than or equal to 0.05, |log2foldchange| more than or equal to 2-fold difference and intra-group variances RPLP2 (ribosomal protein lateral stalk subunit P2), RPL37 (ribosomal protein L), FLNA (filamin A). These 3 genes were searched and FLNA was found to play a role in the formation of platelet morphology while also involved in the adhesion aggregation between platelets and signaling.
RPLP2 and RPL37 are both ribosomal genes, not platelet-specific genes, and by functional enrichment analysis of FLNA gene (fig. 2), it was found that FLNA is highly relevant to cell adhesion, extracellular mechanism and structure formation, and platelet aggregation. The protein coded by the gene is subjected to protein interaction analysis with high-expression proteins of platelets and lung cancer in a string database, and FLNA is found to be related to GPIX and GPIb on the surface of the platelets and also related to a lung cancer related protein mTOR. Meanwhile, other molecules of the blood platelet such as P-selectin, VEGF and the like have certain interaction relation with common proteins of lung cancer. The present invention therefore selects FLNA for subsequent studies.
By detecting the expression levels of FLNA in 83 TEPs and 25 serum samples (fig. 3), it was confirmed that FLNA exhibited low expression in serum and relatively high expression in TEPs, so that FLNA was selected as a TEPs-specific gene for diagnosing lung cancer.
Verification of differential expression of FLNA in lung cancer, benign nodules, and normal populations
The study object is a patient with lung nodule which is suspected of lung nodule/tumor and is to be operated through CT screening, a whole blood sample is collected before treatment after patient is admitted, then the patient is followed up, and clinical basic information, imaging information and pathological results of the patient are collected and recorded. The patients were classified into lung cancer (malignant nodules) groups and benign control (benign nodules) groups according to their post-operative pathological outcome. In addition, the healthy physical examination group is taken as a control group. Inclusion exclusion criteria were as follows:
lung cancer (malignant nodule) group: primary lung cancer primary patients; is diagnosed by definite pathology (cytology, histopathology).
Benign control (benign nodule) group: lung cancer is highly suspected, and post-operative pathology is determined as a subject who is not lung cancer.
Healthy control group: follow-up with a 3-year continuous low-dose helical CT screen precluded subjects with possible lung cancer.
Exclusion criteria: patients with severe liver function injury and end stage renal disease and acute stage inflammation.
Based on inclusion exclusion criteria, 33 cases of lung cancer (malignant nodules) groups and 25 cases of benign control (benign nodules) groups were collected together; healthy control group 25 cases.
2 ml of EDTA anticoagulated venous blood from the patient is collected and the sample is processed within 24 hours after blood collection. After that, the sample is centrifuged at 120G for 20 minutes at room temperature, and relatively more platelets, namely Platelet Rich Plasma (PRP), are retained in the plasma at the upper layer of the tube. Separating PRP, centrifuging under 360G centrifugal force for 20 min, precipitating to obtain platelets, adding 30uL of RNAlater protectant from Life company, and storing the platelet sample in-80 deg.C refrigerator for long term storage. Followed by extraction of total RNA. The sample was taken out of the refrigerator and total RNA was extracted using mirVana RNA isolation kit from Life Corp. The expression of FLNA gene in each group of specimens was detected by reverse transcription real-time fluorescent quantitative PCR, and the relative expression level was calculated by expression with GAPDH.
1. Primer design of FLNA gene
Searching the sequence of the FLNA GENE in a GENE database of NCBI, introducing the sequence of the FLNA GENE into Primer-BLAST, setting the size of RANGE and PCR products, and then designing and comparing primers on line. One primer with a specificity is selected from the obtained primers, the band size is as single as possible, other gene sequences are not compared as much as possible, and the designed primer base sequence is delivered to the Optimago company for synthesis.
Primers for FLNA gene:
base sequence of FLNA-F (5 'to 3'): TCATTCGTGCCCAAGGAGAC
Base sequence of FLNA-R (5 'to 3'): CTGACCAGAGACCCGAACAC.
The expression level of the FLNA gene was calculated by relative quantification with GAPDH, and the GAPDH internal reference gene primers were as follows:
base sequence of GAPDH-F (5 'to 3'): GGAGCGAGATCCCTCCAAAAT
Base sequence of GAPDH-R (5 'to 3'): GGCTGTTGTCATACTTCTCATGG.
2. Real-time fluorescent quantitative PCR detection
1) Extracting total RNA of a platelet sample to be detected and normal tissues, and synthesizing cDNA by reverse transcription;
preparation of cDNA
mRNA was reverse transcribed into cDNA using TAKARA's PrimeScript RT Reagent Kit with gDNA Eraser (Perfect Real Time) reverse transcription kit, which was strictly according to the instructions, and the cDNA was stored at-80℃for use.
(1) Genomic DNA clearance
Incubate at 42℃for 2min or at room temperature for 5min.
(2) Reverse transcription reaction
Incubation at 37℃for 15min, 5s at 85℃and storage at 4 ℃.
2) Using cDNA as a template, performing FLNA gene amplification by adopting fluorescent quantitative PCR under the guidance of the upstream primer and the downstream primer, and amplifying GAPDH reference genes, and simultaneously detecting fluorescent values and CT values of the FLNA gene and the GAPDH gene; each sample was subjected to FLNA gene amplification by adding 3 reaction wells and further to the reference gene GAPDH amplification by adding three reaction wells according to the following reaction system.
(3) PCR reaction system:
fluorescent quantitative PCR reaction condition setting:
pre-denaturation at 95 ℃ for 30s, denaturation at 95 ℃ for 5s, annealing at 60 ℃ for 30s, 40 cycles total, and collecting fluorescent signals; a dissolution profile analysis was performed at 60-95℃to determine the identity of the amplified product.
3) The relative quantification of GAPDH was used to calculate the expression level of the molecular markers.
Detecting the amplified fluorescence intensities of the reference genes GAPDH and the FLNA by using a real-time fluorescence quantitative PCR instrument, setting a proper threshold and a proper base line to obtain CT values of the samples GAPDH and the FLNA, and carrying out relative quantitative analysis on the expression of the FLNA gene by using the CT values. And calculating the relative expression quantity of the FLNA gene by adopting a 2-delta ct method. Firstly, calculating Ct average values of 3 hole FLNA genes and internal reference genes GAPDH of each sample, respectively subtracting the Ct average values of the FLNA from the Ct average values of the 3 FLNA genes to obtain the delta Ct of the FLNA genes, obtaining the delta Ct of the GAPDH by the same method, obtaining the delta Ct average value of a benign group by calculating the delta Ct average value of the benign group, obtaining the delta Ct by subtracting the delta Ct average value of the benign group from the delta Ct of each sample of the two groups, and calculating the 2-delta Ct value of each sample to obtain the relative expression quantity relative to the control group.
Statistical analysis: all statistical analyses applied SPSS 20.0 (SPSS inc., chicago, IL) and R4.0.4 (Version 1.74). The FLNA gene was compared for expression between malignant nodules, benign nodules and normal populations using a nonparametric test wilcox. And drawing an ROC curve according to the FLNA gene expression quantity between the malignant nodule population and the normal person, and judging the diagnosis efficiency of the FLNA gene for distinguishing lung cancer from the normal person.
FIG. 4 shows the expression of FLNA gene between malignant and benign nodules and normal populations, showing that the expression of FLNA gene is significantly different between malignant and benign nodules (P < 0.01) and can be used to distinguish the small benign and malignant nodule populations.
And drawing an ROC curve by using the FLNA gene expression quantity between the malignant nodule population and the normal population, namely, the normal population is a control group, and judging the efficiency of diagnosing lung cancer by the FLNA gene. FIG. 5 is a ROC curve of FLNA gene relative expression amount for diagnosing lung cancer, with AUC of 0.74, sensitivity and specificity of 0.85 and 0.52, respectively, positive predictive value of 0.77, and negative predictive value of 0.64.
And drawing an ROC curve by using the FLNA gene expression amounts of the malignant nodule population and the benign nodule population, and judging the diagnosis efficiency of the FLNA gene for distinguishing the malignant nodule population from the benign nodule population. FIG. 6 is an ROC curve of the relative expression level of the FLNA gene for distinguishing benign and malignant nodule groups, wherein the AUC of the FLNA gene for distinguishing benign and malignant nodule groups is 0.73, the sensitivity and specificity are 0.70 and 0.72, respectively, the positive predictive value is 0.70, and the negative predictive value is 0.72.
Therefore, the detection of the platelet FLNA gene is used for diagnosing lung cancer and distinguishing benign and malignant nodules, has high sensitivity and specificity, and can be used as a molecular marker for screening lung nodules.
A lung cancer detection kit comprises an upstream primer and a downstream primer of a platelet FLNA gene.
The base sequence of the upstream primer FLNA-F (5 'to 3'): TCATTCGTGCCCAAGGAGAC
The base sequence of the downstream primer FLNA-R (5 'to 3'): CTGACCAGAGACCCGAACAC;
the kit also comprises GAPDH internal reference gene primers:
base sequence of GAPDH-F (5 'to 3'): GGAGCGAGATCCCTCCAAAAT
Base sequence of GAPDH-R (5 'to 3'): GGCTGTTGTCATACTTCTCATGG.
The detection method of the lung cancer detection kit comprises the following steps:
1) Extracting total RNA of a platelet sample to be detected and normal tissues, and synthesizing cDNA by reverse transcription;
2) Using cDNA as a template, performing FLNA gene amplification by adopting fluorescent quantitative PCR under the guidance of the upstream primer and the downstream primer, and amplifying GAPDH reference genes, and simultaneously detecting fluorescent values and CT values of the FLNA gene and the GAPDH gene;
3) The relative quantification of GAPDH was used to calculate the expression level of the molecular markers.
Fluorescent quantitative PCR reaction condition setting: pre-denaturation at 95 ℃ for 30s, denaturation at 95 ℃ for 5s, annealing at 60 ℃ for 30s, 40 cycles total, and collecting fluorescent signals; a dissolution profile analysis was performed at 60-95℃to determine the identity of the amplified product.
The foregoing examples merely illustrate specific embodiments of the invention, which are described in greater detail and are not to be construed as limiting the scope of the invention. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the invention, which are all within the scope of the invention.
SEQUENCE LISTING
<110> Sichuan province tumor Hospital
<120> platelet molecular marker for lung cancer, kit and detection method
<130> 2021
<160> 8
<170> PatentIn version 3.3
<210> 1
<211> 27311
<212> DNA
<213> filamin A (FLNA)
<400> 1
cgatcctgtt tctgctgccc accccaggcc agacctggca gcgcctgatc catggcagtc 60
aggttcatcc cagggctcgg agccctgcag tcccgtcccg gggccctgcc tgacgtaggc 120
gcccagccaa cacctgcaac gacctgttgc ccccacccca ggaaacaatc ccggcttggg 180
acagacacca ggggctgtga ctgtgggtgg ctccttggag aaggtggcct tgggcctcgg 240
cctttccacc tggggtgcgc ttggctcccc cagactcaga cacgcaggat ccttgtgatt 300
gggcctagac acgagccctg cagtccctgt gggcgctgga ggcgactccc ccacgaagcc 360
ctccctcccc cagggcctgg cggccctcgc cggcggtgag ctcatctcgg ggggcggcgt 420
cgcccggcgg cgggtcgctg gagctcacgg cgtgcccccg cacccccgcc ccccacgcac 480
ccgtcccggg ctcctgggca attttaccaa ttaaggcttt ctcgccgggc cgggccgggc 540
gcggggcggg cgcggggcgg gggtgcggcc aacaagaagg cgggcggcgg cggcccattc 600
gcgtggaggc gcgtcgcgcg cagcggacgc cgacagaatc cccgaggcgc ctggcgcggg 660
cgcgggcgcg aaggcgatcc gggcgccacc ccgcggtcat cggtcaccgg tcgctctcag 720
gaacagcagg tgaggtctcc gcggcccggc ttcgcgccgt agggtcgccg cgctcctcgt 780
cggccggggg cggggttgga gaaggcgggc agagaggccg gaaaacgcag gcgccagctc 840
gcgcccaggt ccgggccagg ttcagctggg atgcgtgagc cgatggaggc tcccctggca 900
tctgggagtg agtgtccaga gaatagcttc cctagttgac ccacgagcca tgtctgtgcc 960
cacgaatgtg ggagcctgag gccatggggg gtccccgaga gagagagggt gtctgggcac 1020
ttgcccatga acggaccact gcatgcctga gagagaaggg ccctgacacc aggaacttgt 1080
gtggactcag ggcgagtggc cacctggaag gacacttctc agccagtgtg cccactggga 1140
gggggacagc gtgtcccttg ctggctcgag tccacagggc accagctgct ttgggcacag 1200
gggagctggt tctggggctg ctctactcca tgggggccat ggtgaggatg agaccaggcc 1260
aggttccttg gttgggccct gggccctatg ccaggttggc tctgagttgg atgcgcactg 1320
ccagccagga tataaccaac aatgtcccca gattcccgtg ccacctgggg ccaggcaaaa 1380
taggttaaaa tccactggca gacccatttg taagtgctcc gagtgcaccg tcaaggtggg 1440
agcttgggaa tgggcgacct cacctgccgc acctggactt gccagcacag gtctcttctc 1500
accttgccag tctgcggctt ccttccctcc tgcgccccct ggctacgcag gcctggaaac 1560
agctccttag ggatcccagc tgaacagctc ctgggcttgg gctatacctc ccagtgggag 1620
ggtctggcct ggggtctgag ggccaggggt ggtgtggtgg gcggggtgtg cctaacatcc 1680
aagaatctac tccaaataag ggaaaatatg aaagagctgg attttggctt cccaggactg 1740
cccgatctgg tggctttggg atcgggcgac atctggcggt tgatactatg ttctagggac 1800
aagaaccctc tacacgccca ttccttgttt cctctaaata gggaaaagct agggctggaa 1860
gacacggcac ccacctcctg acactctttc tgctggaatt gaccactggt cactctgact 1920
cagtttccct gagctctgaa gattaaggaa tgaacccaga caacccagct caatggccct 1980
tagtggagag agagtcaatt attgatggaa ttccgtgcct gggaacttgc tttccagtgg 2040
ggcaggggga ccagaaggac aacttcaagc ccgtcttgaa tggggcccgt gcagggaggg 2100
gtctgtatgg gttccccctt cccagccctc cctcccacct ccaccccagc tcccagacgc 2160
ccaggcgcac ttggtgcagg tgtgtctcaa agtggtcagg agaggggaca atatacaggg 2220
gttggcctca gtactggaaa atgccatttg caccccctaa caccactact agtgggaaaa 2280
accagtgggg ccacaggctg ccccgaagtg aatgtgctgg gcggatcaca gccccaccac 2340
gtgtcatgta gacacccagg gctacaggag agtcaaccat atttgggcat gacgtgctgg 2400
ccaacccagg gcctccatct ctcactggtc tttagcagat aaattaatta ttactagaat 2460
tgaacaggag ggacagatac ctgccttcct agaaaaaaaa aaaaaacact cagaggagga 2520
aacattctgg agaggggagg taccgaggac tgagagggag gggagtgcac aatggggagg 2580
aagccatagg caggctggct tctgactgaa gatagtagca gtgagcgtcc ccagccgtcc 2640
cctggtccca gtctacatct cggcacagca gccactgcac catctccaga gttatctacc 2700
agaaaatttt gagtgaagag cccccacagc tctggggaca caacccccca ggcccctgat 2760
ccctgtcctc aggcctcctc tgcacctgcc accacacctg aagcccaccc agacccaggt 2820
gctcagagcc tgacaagtct tatgggaacc tctgagcagg cccctctggg tctggaatgc 2880
cactcccgtg tttgccccct gccctggcca cgctgggctg aggggacttt ccgacaggag 2940
aggacccccc gcttcagctc cccccagtgc cccgggtgaa ctggcatgaa gggttaggcg 3000
ggcacacgtc tctgcatgca tcgcacggcg ccctctgccc gcgcccactg gcgtgcccgt 3060
gggcatgccc ggaccccttc gaaggctgct tgctcctgga gtgccggcgg cctcctggcc 3120
cagtgcccca tatcctcccg ggtggaggga agcagagagg gaggcggtgg gaagcagcgg 3180
gcacaggtgc gcgggcgagg gccctacgga ctgggaaggc gggcccgtgg cagggggtct 3240
gcggggaccg cgtaggcgca ggccttgccc tgcagccgct tcccaggtga tgagcacaca 3300
aagcgccctc ggcagtgcct ggtccggggc tgccgctctc caggggttcg ctcttagggt 3360
tggccccttc ccgccgctgc cgggccggcg gacggggatg ccgccgggga accctaggcc 3420
ctgggggccc ggggaagggg gatgacggcg gggggtaggg atgtgcaggg acggggcaga 3480
gcccaagtga cttagggaag agagccaccc caccccccgc aggggccctg gggaaggaaa 3540
gtcccttgta aggcgcgccg gctgcaggcc aagcagtccc gcgccagaca ctgctcagcc 3600
tttcctcgct ctagggcgcg tttcctgcag cgccaacgcg aggctgcggg gctgggagca 3660
tccttgccca ccccactgcc cagcgaccca ccctggagcc cgggtttcgc gtctgatcag 3720
ccgaacccgg gggcctagtg ggggcattcc aacgggcggg gcggggtggg gcaggcgcgc 3780
cctcgaagcc ccaccccacg gcccctcccc gcaggaggcc cgccctctgg ccccgccctc 3840
ctcccgcatt taaagggctc gctctctccg cagcgcaacc tctgctccct gcctcgcctc 3900
ccgcgcgcct aggtgcctgc gactttaatt aaagggccgt cccctcgccg aggctgcagc 3960
accgcccccc cggcttctcg cgcctcaaaa tgagtagctc ccactctcgg gcgggccaga 4020
gcgcagcagg cgcggctccg ggcggcggcg tcgacacgcg ggacgccgag atgccggcca 4080
ccgagaagga cctggcggag gacgcgccgt ggaagaagat ccagcagaac actttcacgc 4140
gctggtgcaa cgagcacctg aagtgcgtga gcaagcgcat cgccaacctg cagacggacc 4200
tgagcgacgg gctgcggctt atcgcgctgt tggaggtgct cagccagaag aagatgcacc 4260
gcaagcacaa ccagcggccc actttccgcc aaatgcagct tgagaacgtg tcggtggcgc 4320
tcgagttcct ggaccgcgag agcatcaaac tggtgtccat cggtgaggga cgccccgaag 4380
cgccgggcgg gcgggggcgg ggactccgtg cgtccttcca tctccccggg cggacccctc 4440
caaaccaccc ccttccgggc cgcagcgcaa ctcccgaggc ctccggctgc tctgctccac 4500
gcgggcctgc agaacaaagg cgcgcgggct ggctggctgg ccggccgggc gtgcgaaccg 4560
ctacgcgccc ccgcccgctg cgccccggct ggccggcgcc caggctgaac tcacatcctc 4620
cgcaggccgc gcctccgcgg ctgtgctcgc ggtgggagtg ggcctggggg gtcgggcact 4680
gggcaggctc ctggccctgc gccccgtccc cgaggaggag gaggcccggg ctctcccccc 4740
acagctgttt agagagggcc ctctggcctt cagaggcccg ttggttctga agtgtgggtt 4800
ggagctcgtg cgtcccattg tctggggctc tgggctcttt gtgtccctgg aggatgggtc 4860
gcccatcgga gatggctcca accaccagtt tagatctacc cccccacaca cacacaggca 4920
acctgggggc cagaaagaag catagttagc aaaactgcac ccggggtgag ttgggcgtgg 4980
ttgactgaga gacctggctt gtagactact tggacgccaa cttttctctt catcttgggc 5040
caaactcttg cttccatgta ggccttgctt ttctgcgtgt agcacgcagg agttggttgg 5100
tagatgctcc agcgtgcatt gtgccagccc agtgtctgtg tcactggact ggagaggctg 5160
gcattgacca ggcctgctgc agcagcccaa ttcgttctca agataggggc tgcatgagag 5220
ggcaggcccc agaatgggtg actcgggggt gatgtggaac agggagagga gagggatgat 5280
gagtcttctc ttcttcagaa ttgagaggcc ttccagttac cctgcagccc tggaatggcc 5340
cttgctgaac ccaagaaagt gagggaccaa gacttgggtt cccccagcca ctcagagggc 5400
agatcccaag aaccaaagtt ctttctttgg aatgccagtt gaggcgaggg gcaggcccac 5460
ccccacaagt cccagcctca gtctagccaa gctgagtcat ctcagtcctg gatggtaggg 5520
ggggcgaccg gatgtgggga ggcgggccac accccagctc tttagggggg gtctcctccc 5580
tcctcccagc tcccctcctc cttgtgagct ggctggagca ggcctagttc ccagagcttt 5640
gccatataag gcaaaaaaat gttggaaagc agcagtgatt aggggaggga ggggttggct 5700
ggcccagggg ctggggaaag gggggtggga tggggcgggg ccatccagcc agacagtctc 5760
ccagccctgg gccctggtcc ttccctctct cttttgggag ggggatgggg acggagtagg 5820
ctggcctaac atggacctgg tgggcctggt tgctccccgt gtgggggtcg ttgaggggtc 5880
tgaggctgga ctggggtggg ggcctgatgg gaagccctgg ctggccttgt tccctggccc 5940
tgcacccttg gtcctctccg agtccccctc cctgctgcca tttggggaga gtgaaaggca 6000
gcctcgtggg gccaggacca acctgggaac tggggaggcc actctgagcg gctcacctgg 6060
ccctccaggt gctgcctgct gggctgggaa gcagctgcca tggacagccc agcccctcct 6120
cataggcccg ccccctagtt gactcaccag agaagtattt tgtctgatta tgggggaggc 6180
tgacagggct tctaaagatg agccatcctg ccttgagcct gagacccaga agtagccttg 6240
ggtggggccc agagcccagc agggttgcca tggtgatggg gggtgtcagg gacccgccct 6300
aaccacttcc cctgtggcga gcctgccgag gcccagaggc ccgttaggtg gcaagtgggt 6360
caggcagtgg gtggcaaggg ggttcccagt gtctcctgct gccaccccgg catctcccga 6420
tgggccccag tgagtcaggg ccatgtggcc caactgctgg ttcctttggg ctctgggccc 6480
ctcccctggc taggcctgtg gcctcccaac tccaagcttg agtcttcgag gtggtagagg 6540
aagtgggggt ggtggcgggg gtcacaatcc ctcacccaaa gggcgtttgc ccaactcccc 6600
cacttcccct gcctcacccc acccaccctg gaacaacagt tgtatttccc aaccacccag 6660
ggccacccac cttcctcttc ctcagcccca gccccactcc aggtcatggg ccctggattc 6720
tgggccagct ggagtcagcc tcctcctcct ggttccccat aggcccctga ggtgtgtggc 6780
ggacccctgc tctggcagct gtggacactg tccagctgtt ctccagagct gcccatctgc 6840
aggctgggtc tgccctctgc ccttcctctg ggcccagggc ttctggcagt aatcataccc 6900
tgctggcatc gtgtgtgtgt gtctgtgtgt atctgccctc accccaaagt ctccttcacc 6960
tctgaacacc ccctgggacc ctgggcagag agggcctcat ccacatccta ccactggcca 7020
agagggggtg tctacctcct ccttggcccc tgctaccccg tgctgccaga ccctgacccc 7080
aaagcctggg atcggcccct cccgcacagc cgtgtgccca gcgtggccac tcttctactc 7140
acagacagca aggccatcgt ggacgggaac ctgaagctga tcctgggcct catctggacc 7200
ctgatcctgc actactccat ctccatgccc atgtgggacg aggaggagga tgaggaggcc 7260
aagaagcaga cccccaagca gaggctcctg ggctggatcc agaacaagct gccgcagctg 7320
cccatcacca acttcagccg ggactggcag agcggccggg ccctgggcgc cctggtggac 7380
agctgtgccc cgggtgaggg ggcgcagagg caggagagac tgggctgggg tcacccatgg 7440
gtggcccttg agggggttct gcggccccca gactcacagc ctcccttgcg ccacaggcct 7500
gtgtcctgac tgggactctt gggacgccag caagcccgtt accaatgcgc gagaggccat 7560
gcagcaggcg gatgactggc tgggcatccc ccaggtacac ccgcccggcc tggctacagc 7620
tgtaggggac cggatcggca gttgggagag actcggaggc ccgatggctc ctgttttctg 7680
cctgtgacag gtgatcaccc ccgaggagat tgtggacccc aacgtggacg agcactctgt 7740
catgacctac ctgtcccagt tccccaaggc caagctgaag ccaggggctc ccttgcggcc 7800
caaactgaac ccgaagaaag cccgtgccta cgggccaggt gagggagccc caccaggggt 7860
gcacccgtgt gccaacgtct tccccataag acagtgtccc atctaaacgt ggcggtcccc 7920
aggggtcttg ggttacatgg cggctaggtg atcaagccac ccaagagtca gacaagagtg 7980
ggtttttggg actagtgaaa acgacaagag aatgctaata ggttcctcca gtcacagaag 8040
cctgctgcgt ggggtcctcg gggaggtagc atccagcggt ctttattata aatggagatg 8100
aaccaggtct cagtaacagg gacctaaaac ccagtcaagg ctcacacagg aacaagggcc 8160
cagtgcggtg agaatgaatg ttccagaaaa caggctgggc ctgtcccagc agcgagagca 8220
cagctgggtc ccgaggccag gctctgtgcc acagctcaca ctgaatgaac ttgcccagtt 8280
tggaatgtgc ctgacttagg ggccagcagg gagggctgaa gggtggaggg gtgaggctgt 8340
ggccttaaca gctggcccgt ggttggctcg ccttcccctg ccaggcatcg agcccacagg 8400
caacatggtg aagaagcggg cagagttcac tgtggagacc agaagtgctg gccagggaga 8460
ggtgctggtg tacgtggagg acccggccgg acaccaggag gaggtagggc cagctgctgg 8520
cagcagaggc cccgcagcgc tccctttcag tggggctgct cttagcaaag gctcacaggc 8580
tccttcccac tgcaggcaaa agtgaccgcc aataacgaca agaaccgcac cttctccgtc 8640
tggtacgtcc ccgaggtgac ggggactcat aaggtgagcc cttggccagg ggggaggctt 8700
gtgacctcag gcagtggctg gaggccccca gccctaccct cacggcccac ccttctgggg 8760
acaggttact gtgctctttg ctggccagca catcgccaag agccccttcg aggtgtacgt 8820
ggataagtca cagggtgacg ccagcaaagt gacagcccaa ggtcccggcc tggagcccag 8880
tggcaacatc gccaacaaga ccacctactt tgagatcttt acggcaggtg aggggaggct 8940
gccaaggccc agctggtctg tggggagagc cgcactgggg cctgggagct gagcaggtgc 9000
ctcgtggcag gagctggcac gggcgaggtc gaggttgtga tccaggaccc catgggacag 9060
aagggcacgg tagagcctca gctggaggcc cggggcgaca gcacataccg ctgcagctac 9120
cagcccacca tggagggcgt ccacaccgtg cacgtcacgt ttgccggcgt gcccatccct 9180
cgcagcccct acactgtcac tgttggccaa ggtaggcccg gccctgactg ccctctgctg 9240
tggcactgca gtctgggcct cccacaggag ggggaccccc tgggccagtc ccgctgcagc 9300
ccgccccggg gcccctactc tttgagcttc tactgtctgg gcacatgctg tttttcctcc 9360
cctgctgggg cccttcctcc tctcctctcc tcgcccctct ccatctctct cctcacgctt 9420
tcaccttcgg aagagctcgc tccagctgtc tagaaacctg ctgctctctg ctctgcccac 9480
agggtcaacg gtacttggat ctgtcttctt cttggaaggg ggagggtggg gggctctggg 9540
ctggtgtgga gcaggtggga ggaggcctgc catgtcctgg cccaggccac agttcctggg 9600
gtcacagtcc cttccagttc tgtcttgcat gtccccctcc agccaagctc tgagggaccc 9660
accaatcctg acagcccggc cctgtgggag gcaagggagg ggtcgcccag ccgagctgct 9720
ggtgctcagc tggcccctct gcctgcagcc tgtaacccga gtgcctgccg ggcggttggc 9780
cggggcctcc agcccaaggg tgtgcgggtg aaggagacag ctgacttcaa ggtgtacaca 9840
aagggcgctg gcagtgggga gctgaaggtc accgtgaagg gccccagtaa gttggcctgg 9900
agccaggcca ggatgggtgg cggcagcccc cgggttcact gctgggcagg cctgaggccc 9960
tccttgtctt ggcagaggga gaggagcgcg tgaagcagaa ggacctgggg gatggcgtgt 10020
atggcttcga gtattacccc atggtccctg gaacctatat cgtcaccatc acgtggggtg 10080
gtcagaacat cgggcgcagg tgaggccccc aggcatccct ctcccagctc tgcacactct 10140
gcctcttctc ttccttctgc ctccccacct gatgatgagg ggccacatgg gctcttcctg 10200
cctggccgcc acagtggggc ccacgctggc tcatgtggtg atcctcggtg ttccctgtgt 10260
ggctctcgca tttgcagtcc cttcgaagtg aaggtgggca ccgagtgtgg caatcagaag 10320
gtacgggcct ggggccctgg gctggagggc ggcgtcgttg gcaagtcagc agactttgtg 10380
gtggaggcta tcggggacga cgtgggcacg ctgggtaagt tggaggctgc agcatgggca 10440
cctggggaca gacgatggca aggacggccc accctgaggc tccagggcac tgaggggact 10500
ggtggctgtt gtcaggcttc tcggtggaag ggccatcgca ggctaagatc gaatgtgacg 10560
acaagggcga cggctcctgt gatgtgcgct actggccgca ggaggctggc gagtatgccg 10620
ttcacgtgct gtgcaacagc gaagacatcc gcctcagccc cttcatggct gacatccgtg 10680
acgcgcccca ggacttccac ccagacaggg taaagagcag gctgtgatgg cctaagtctc 10740
gccctgctgc tcctgcttgg ggtctggtgg ggatggcact ctgtgtccct ggccaccctg 10800
cctgggttgt agctctggca gcctggacct ggccccctga cagctgggtg gtctcccgct 10860
aggtgaaggc acgtgggcct ggattggaga agacaggtgt ggccgtcaac aagccagcag 10920
agttcacagt ggatgccaag cacggtggca aggccccact tcgggtccaa gtccaggtag 10980
agcacccacg ggtgttgggg gcagggcagg tgtgggcacc caggcctggg cactgaccag 11040
caggccacct gctcctatct gcctgacagg acaatgaagg ctgccctgtg gaggcgttgg 11100
tcaaggacaa cggcaatggc acttacagct gctcctacgt gcccaggaag ccggtgaagc 11160
acacagccat ggtgtcctgg ggaggcgtca gcatccccaa cagccccttc agggtgagcc 11220
aacctccacc ggcctttagt ccatctcgat agcattcacg tagcacacga ttcgtccatt 11280
tcaagtggtt gtggcacacc atcctgactc ccctgtccca cagctcctgg tgaccactaa 11340
cctgctttct gctgtggctt tgcctatcct ggacatgttc tatagatgga actgtgtgcc 11400
atgtggcctt ttgtgtctgg cttctttcgc tcaccacgaa gttttccgtg ttttcgttca 11460
tgtttggcat gtcttggcac tttgttcctt tataattatt ttgtttattt atttatttat 11520
ttgagatgga gtctcacact gtcgcccagg ctggagtgca atggcgcgat ctcggctcac 11580
tgcaggctct ttctcccagg ttcacaccat tgtcttgcct cagcctcccg ggtagctggg 11640
actacaggcg cccgccaccc ccccggctaa ttttttgtat ttttagtaga gacaaggttt 11700
cactgtgtta gccaggatgg tgtcgatctc ctgaccttgt gatctgccca cctcggcctc 11760
ccaaagtgct gggatgacag gcatgagcca ccgcgcccat cctggttttt tttttttgag 11820
ccggagtttt gctcttattg ccaggctgga gtgcaatgac gtgatctcag ctcactgcaa 11880
cctctgcctg ccagattcaa gcaattctct cctgcctcag cctcctgagt agctgggatt 11940
gcaggcatac gccaccattc ccagctaatt ttgtattttt agtagagacg gggtttctcc 12000
atgttggtca gactggtctc aaccgcctga ccccaggtgg tccgcccacc ttggccttcc 12060
aaagtgctgg gattacaggc atgagccacc acgtccggcc gcttcattta tttttatggc 12120
cgcataatac tccattgtgt ggccagacca cattccattt ttccgttcac ttgctaacag 12180
atattgagga tgagcttgcc tttggtgatc atgaacagtg ctgttaacag tgagtccagg 12240
tgtttgcgtg gacatttgct ttcatttctc ttgggtagtt gcctcggagt gaaccggagc 12300
atcacacagt ccctctgtgg tcaactgagg aactgccaga ctcttcccaa ggcagctgga 12360
ccattttgtg tgcctgccag tgtagctgag ggagcttctg agtctcctcc aggctgctca 12420
tgcccttgcc cttgcccctg tgccctgcag gtgaatgtgg gagctggcag ccaccccaac 12480
aaggtcaaag tatacggccc cggagtagcc aagacagggc tcaaggccca cgagcccacc 12540
tacttcactg tggactgcgc cgaggctggc cagggtaagg cctggctgtg ggtgggaggg 12600
caggtggctg gggtgtccct gcgaggtctc agcctccgct cctctccccg ccgcagggga 12660
cgtcagcatc ggcatcaagt gtgcccctgg agtggtaggc cccgccgaag ctgacatcga 12720
cttcgacatc atccgcaatg acaatgacac cttcacggtc aagtacacgc cccggggggc 12780
tggcagctac accattatgg tcctctttgc tgaccaggtg ggtgctgcgc tcctggccgc 12840
taagatgtca ttgcggatga cgtctgccct cctctaaggc cttctcctcc cactgcctgc 12900
aggccacgcc caccagcccc atccgagtca aggtggagcc ctctcatgac gccagtaagg 12960
tgaaggccga gggccctggc ctcagtcgca ctggtgagga caggtacccc atggcaggtt 13020
gcggggcatc aagggtagga gggcttgggg cagggtgccc ctacatggtc cctgtgtgtt 13080
cctcaggtgt cgagcttggc aagcccaccc acttcacagt aaatgccaaa gctgctggca 13140
aaggcaagct ggacgtccag ttctcaggac tcaccaaggg ggatgcagtg cgagatgtgg 13200
acatcatcga ccaccatgac aacacctaca cagtcaagta cacgcctgtc cagcaggtag 13260
ccacaccctc cactacagtc accgagtccc cagcctcctc atgcagcagc ctaggggaca 13320
gctccgaggg actttctgcc cactctcatt ccttacctgg gagaggacag gcatggaggt 13380
ccaggagggg gttggggagc aattctggtg tctctaaata cccccttccc ttctgcaccc 13440
ttcccagggt ccagtaggcg tcaatgtcac ttatggaggg gatcccatcc ctaagagccc 13500
tttctcagtg gcagtatctc caagcctgga cctcagcaag atcaaggtgt ctggcctggg 13560
agagagtaag tagttggggc ccttgtcgca aaggcctttg tcacatccag ggattggctg 13620
agctgggtgt catgtctctc tccttccttt catcgtttcc acagaggtgg acgttggcaa 13680
agaccaggag ttcacagtca aatcaaaggg tgctggtggt caaggcaaag tggcatccaa 13740
gattgtgggc ccctcgggtg cagcggtgcc ctgcaaggtg gagccaggcc tgggggctga 13800
caacagtgtg gtgcgcttcc tgccccgtga ggaagggccc tatgaggtgg aggtgaccta 13860
tgacggcgtg cccgtgcctg gcagcccctt tcctctggaa gctgtggccc ccaccaagcc 13920
tagcaaggta attggggtat gggaggccct aagggtagaa cccactgtgc tctctgaggg 13980
ccccaaaggt accccatctt ctccagacct gccctaaatc cttttttttt tttttttttc 14040
ctgagacaga ctgtcaacct tgaccctgtt taagtgagag taaaggggag gagggaaata 14100
gaaacccaca aaaagtcatc agggttgaag aatttctttt tttttttttt ctttcttttt 14160
tttttttttt tttttttttt ttttttttga gaaagagtct cactctgtcg cccaggctgg 14220
agtgcagtgg cgcgatattg gctcacggca ccctccgcct cctggcttca agcaatactc 14280
ctgcctcagc ctcccaagta gctgggatta caggtgcccg ccaccatgcc cagctaattt 14340
tggtaatttt agtagagacg agatttcacc atgttggcca ggctgttctc aaactcctga 14400
cctcaggtga tccacccacc ttggcctccc aaagggctga gattacaggc gtgagtgacc 14460
gcgccctgcc ctcctttttg tccttatgac tgatggatgg cccatctggc aggcagcctg 14520
ggcccgcccg tgtccctgtt tggtgagggc aggaagccag ggcaagggga ggcaggtgga 14580
aagtcaagca ggaggtctgg gatcggggca tagtgtggcc ttggctcctg accccttctt 14640
ccctcaggtg aaggcgtttg ggccggggct gcagggaggc agtgcgggct cccccgcccg 14700
cttcaccatc gacaccaagg gcgccggcac aggtggcctg ggcctgacgg tggagggccc 14760
ctgtgaggcg cagctcgagt gcttggacaa tggggatggc acatgttccg tgtcctacgt 14820
gcccaccgag cccggggact acaacatcaa catcctcttc gctgacaccc acatccctgg 14880
ctccccattc aaggcccacg tggttccctg ctttgacgca tccaaagtca agtgctcagg 14940
ccccgggctg gagcgggcca ccgctgggga ggtgggccaa ttccaagtgg actgctcgag 15000
cgcgggcagc gcggagctga ccattgagat ctgctcggag gcggggcttc cggccgaggt 15060
gtacatccag gaccacggtg atggcacgca caccattacc tacattcccc tctgccccgg 15120
ggcctacacc gtcaccatca agtacggcgg ccagcccgtg cccaacttcc ccagcaagct 15180
gcaggtggaa cctgcggtgg acacttccgg tgtccagtgc tatgggcctg gtattgaggg 15240
ccagggtgag ttgccctgcc gtggggtatg tgacggggga cagggaccag aacccccgag 15300
ccccaagcct cctctctgtg cctttgcagg tgtcttccgt gaggccacca ctgagttcag 15360
tgtggacgcc cgggctctga cacagaccgg agggccgcac gtcaaggccc gtgtggccaa 15420
cccctcaggc aacctgacgg agacctacgt tcaggaccgt ggcgatggca tgtacaaagt 15480
ggagtacacg ccttacgagg agggtgcgtg ctggggactc ccacaggctg gcagacgggg 15540
tgggtggggt ggcccgggct cctcctgacc tggcctgcac tcctccagga ctgcactccg 15600
tggacgtgac ctatgacggc agtcccgtgc ccagcagccc cttccaggtg cccgtgaccg 15660
agggctgcga cccctcccgg gtgcgtgtcc acgggccagg catccaaagt ggcaccacca 15720
acaagcccaa caagttcact gtggagacca ggtaagggag cccccaggag cccgtgtggc 15780
tggtgggcct gggaacccca ggaatgaccg gctgtctgtt tggaccaggg gagctggcac 15840
gggcggcctg ggcctggctg tagagggccc ctccgaggcc aagatgtcct gcatggataa 15900
caaggacggc agctgctcgg tcgagtacat cccttatgag gctggcacct acagcctcaa 15960
cgtcacctat ggtggccatc aagtgccagg tgaggaggtg gcggccaggg cagggctggg 16020
actgtctgct cgtccccacc ctgtctcata cagccgccat ccctttgccc caaccctcag 16080
gcagtccttt caaggtccct gtgcatgatg tgacagatgc gtccaaggtc aagtgctctg 16140
ggcccggcct gagcccaggc atggttcgtg ccaacctccc tcagtccttc caggtggaca 16200
caagcaaggc tggtgtggcc ccattgcagg tcaaagtgca agggcccaaa ggtgagtgtt 16260
tgcatgcctg gagccagggg tcaggagggc agtgtcctgt ttgagggccg ggaaaggaaa 16320
ctggaggccc aaagtgagga ccagagtgca gaggtggtgc aagtgtgtag gtgtttttgg 16380
aagagcctca ggtgacagtg cagccaggtg ggggacttgg aggaggtaga gcagatggga 16440
ctggtcactg agcagatgtg gcaggaaggc aggcaggcaa gggtcccagc tggcacccag 16500
atgggtgtct ttcgtgccag agggggtcaa ggccattccc agggtcgggt ggatgaggat 16560
aaagcgaggt ctaggcctgg ggctgggtcc tggccgtcca gtgtggtggg gtaggaatgg 16620
aggcccagga gactagctga tgctctgtcc ctggggctgg ggccaggcct ggtggagcca 16680
gtggacgtgg tagacaacgc tgatggcacc cagaccgtca attatgtgcc cagccgagaa 16740
gggccctaca gcatctcagt actgtatgga gatgaagagg taccccggag gtaagaggca 16800
gggcctgctg cctgtgggga gtggcccagg ctggatgctg agaacctgtc tgactgctca 16860
caacaccaat ccctcacagc cccttcaagg tcaaggtgct gcctactcat gatgccagca 16920
aggtgaaggc cagtggcccc gggctcaaca ccactggcgt gcctgccagc ctgcccgtgg 16980
agttcaccat cgatgcaaag gacgccgggg agggcctgct ggctgtccag atcacggtga 17040
gctccgggca caggcagggg aggcaggggg gcctgggcgg ctggagtgtg ggctgcgggt 17100
ggctggtgtc tgatctccct gcggagctgc accaaggagg gcagggaagg acagggcccc 17160
tgtctttggt ttgctaaggt tgtgactacc ttaggatggt ggtgacaggc acaggcttcc 17220
ccagacgtgc acttgctgct aactttgagc acgtcaccaa agccttctgt gcctcagttt 17280
ccccacctgt aatattctca tggggcaggt ataggataga agcttgagat caccccggtg 17340
agctcctcct agtgctggcc aggccctggg gctgaggatg ggtgccaagc tggctggccg 17400
cgcctgttgt catgtgggaa gtgtgggatg ttttagtctc cattctggac tctgccaggt 17460
gcaggcagcc cttttgggcc atagcagtta agatgcctga ggcccagaga ctgtccctgt 17520
agcagcagcg ctgggcactc tgggagcgcc tgaggcaggc ccggggctac tcgggcttgg 17580
gccaactgcc tcccctgcct ctgccacaca ggatcccgaa ggcaagccga agaagacaca 17640
catccaagac aaccatgacg gcacgtatac agtggcctac gtgccagacg tgacaggtcg 17700
ctacaccatc ctcatcaagt acggtggtga cgagatcccc ttctccccgt accgcgtgcg 17760
tgccgtgccc accggggacg ccagcaagtg cactgtcaca ggtgagcccg cccgctgttg 17820
gccgctgcgg cgctcggcac ggggcttggg ttgtgcctgt gtgcaagggc tcgctgcttg 17880
gggcggcgtg tgggagtggg ggccgccccc ttgagtgact cacctgacct ttctccttgc 17940
tctctgccct ctcacctcag tgtcaatcgg aggtcacggg ctaggtaagc tgcttgctgg 18000
ggccactccc aatgcccctc ctgcccagag gggcagcttc ctttcctctt ggggccgatt 18060
cccaggacag ttccagctgc agctctaggc agggacagag ttgggtgggg tgcagaagat 18120
gaggccgtgg gctggagggc gagggcccag ggaggcttcc ggagctgagc atgaccgctc 18180
cagctcttcc cctctctggg cctttatttc cccatctgag aactcgggtt gcagctgaga 18240
gctttggggt gaggtgcatc ctgagaggca ccccactggg gactttgggg tctcgggatc 18300
ttggcaccca gggaggcaca agggctcctg cgtgggctga gggaacaagg ggtctcccca 18360
actcaatggg agccccagcc ctggccagat ccacagaccc ccatccccac cttccagggg 18420
cctctgcgtc ccgggccggg ggaggtgcat gagcgggtgg ggctggctgg tagtgcagta 18480
gcgccagtgt cgactgcttg ggcggccagc atggcggggc ccggcccagc ctcagagccc 18540
caaagtgcat tctgtggccc gtctccctcc ttcccccttc ccctatcccc cagcagtgac 18600
gttattcaga cattccccaa caggcatgga gggtcacctg ccccagccag ggacacccag 18660
ggatgctgat gagaggctac aggcctggca cttgggcgag gtggctaagg aaagggtgag 18720
agggtggcta gagttttgcg gcaggagcga gatggcttta tagagcaggc cgtaggatcc 18780
gatgtgtgtg tgacaggcgt gtgtgcgcag ggcgggggag gctggggagt actgattgca 18840
gggccttggg ggctttgagg gtgggagcaa gactcagtaa cctcagtttc cctggctact 18900
gtttgcagaa tggagacagg gagcccgggg tggggaaggg ggcgctgaag ttgctctctg 18960
gcaagcttga cggccacggg gcttcagtga gagccaaatt aggaggcata ctttgaggat 19020
ggagtggctg agacctgcgg ttggctggga gccgggcagg gaaagtgggg gcagtcgggt 19080
acctgtgagg ttggggccca agccactaac tagatggcat ggggtgcaca tgagtgaagc 19140
ctcccagggc agcgtgggca gccggcagcc aggtctggag cctgggagag ctgcctggcc 19200
gcggcaggcc agcatggagc ctagtgcagc aggagccctc ggccgatagt gggacttggt 19260
ggcagggccc ctcgagcttg gccttcaagt aggtttcgtg ctcctggctg cttccctggc 19320
aggaggccag gctgcagggg gcactctcac tgccaggcct cacagcccac agccccccaa 19380
gcctccacgg cggagaccca gatcataacg tcactgtctc tcccctttcc tcgggcactc 19440
tggggccctg gagcctgctc agctgctctg ccctcgcaac ccagcagtgg tggctgtagc 19500
ttgggcctcc tgttccctgt ctccctgggt gctatccccg ctctgccaag cctgctgcgc 19560
tgcgctactc gggtgctaac cccgctgcct cccgcttccc cgctcccact cctgtctgca 19620
ccgggctgct tttcaccgcg agccttctca gttgtcagga aactccggtt tcaccatcag 19680
gcctgggggg tggggaggca agtgtcacat ccccccacgc tgcagcagga ctccgcctca 19740
ccgcgtccac acacagcaat gggggccggg gccaggccag aagggcgcag gcagccgtgt 19800
gcccagccag atgctggcgt tcagcagtgt gggccatggt gctggacgag gctgagtagg 19860
caagggagtg gctgtcaaca cttaggctgg agtgggccct tccttttcct cccaggcacc 19920
tgggtgctac tgtcgggcct ctcccacatg ggcacttgag gtggtcagga gaaaccttcc 19980
tgccttctga gaaaccactc gccatcccag cttggagggg cagggcgggg caggaggcct 20040
ggcggcctgg ctgtgcttgg tggtggcaat gagaggcctg tgtgggcggc aggcggacgg 20100
gaacaacctg aacccgagct cacacgctgg cccccctttg gggacccacc ctgccccacc 20160
aggtgctggc atcggcccca ccattcagat tggggaggag acggtgatca ctgtggacac 20220
taaggcggca ggcaaaggca aagtgacgtg caccgtgtgc acgcctgatg gctcagaggt 20280
ggatgtggac gtggtggaga atgaggacgg cactttcgac atcttctaca cggcccccca 20340
gccgggcaaa tacgtcatct gtgtgcgctt tggtggcgag cacgtgccca acagcccctt 20400
ccaagtgacg gtgaggaggg gtggggggta ggtcagcagg ggtgtctggc aggtcccggc 20460
ctgttcccct ggggcccctc tgtgacaaca gactctccag cagctctctg ctttgccctg 20520
caggctctgg ctggggacca gccctcggtg cagccccctc tacggtctca gcagctggcc 20580
ccacagtaca cctacgccca gggcggccag cagacttggg tacggcctgg ccagctaggg 20640
acactggggc tagccagctg ggtgttctgt gagcccctag tttaccatgt gtgaggaggg 20700
accccagatc ctcccactgt ccctcaccca tgccctgtgt ctccactgca ggccccggag 20760
aggcccctgg tgggtgtcaa tgggctggat gtgaccagcc tgaggccctt tgaccttgtc 20820
atccccttca ccatcaagaa gggcgagatc acaggtgagt ggggacttgg gaaggagctc 20880
gggagccaag gaggccagac tgtgccaatg agctgccctg acctcagccc cactgcccca 20940
caggggaggt tcggatgccc tcaggcaagg tggcgcagcc caccatcact gacaacaaag 21000
acggcaccgt gaccgtgcgg tatgcaccca gcgaggctgg cctgcacgag atggacatcc 21060
gctatgacaa catgcacatc ccaggtgggc ctgccctgcc tctgcccact ccaccgccac 21120
cacctcacag agagatgggg ctgggggaca cacgaggctg ccattccaca aggcccttct 21180
tcctgcctca ggaagcccct tgcagttcta tgtggattac gtcaactgtg gccatgtcac 21240
tgcctatggg cctggcctca cccatggagt agtgaacaag cctgccacct tcaccgtcaa 21300
caccaaggat gcaggagagg gtgagcaata gctctggtct tgacctgctc tgtgcccggg 21360
atgccctcac cggggtaagg gctggactca ggagatactc ctgaatgggg ctccctgccc 21420
tgctgccctg gccatcggag ctcctcagtg caggccaact ggagtgtccc cagcatagtt 21480
cccatgctca cccacggctc tctccagggg gcctgtctct ggccattgag ggcccgtcca 21540
aagcagaaat cagctgcact gacaaccagg atgggacatg cagcgtgtcc tacctgcctg 21600
tgctgccggg ggactacagc attctagtca agtacaatga acagcacgtc ccaggcagcc 21660
ccttcactgc tcgggtcaca ggtgggtggc actgggagca gtgacagaaa cgggtggcag 21720
ggtgggcatg gtctcccatg gctggacgca cactgatggc tggcctgtcc ccaccaggtg 21780
acgactccat gcgtatgtcc cacctaaagg tcggctctgc tgccgacatc cccatcaaca 21840
tctcagagac ggatctcagc ctgctgacgg ccactgtggt cccgccctcg ggccgggagg 21900
agccctgttt gctgaagcgg ctgcgtaatg gccacgtggg taagcggctg aagggtccag 21960
ggggttcaga aaggaggcag cctgtgggga gccatgccct ccctgactga cagccatgcc 22020
ctgtgtccag ggatttcatt cgtgcccaag gagacggggg agcacctggt gcatgtgaag 22080
aaaaatggcc agcacgtggc cagcagcccc atcccggtgg tgatcagcca gtcggaaatt 22140
ggggatgcca gtcgtgttcg ggtctctggt cagggccttc acgaaggcca cacctttgag 22200
cctgcagagt ttatcattga tacccgcgat gcaggtaggc agtggctgcc caccagctgg 22260
ggcgggagca ctgtgcatag caccgaggct caggggtatc catcccctag gctatggtgg 22320
gctcagcctg tccattgagg gccccagcaa ggtggacatc aacacagagg acctggagga 22380
cgggacgtgc agggtcacct actgccccac agagccaggc aactacatca tcaacatcaa 22440
gtttgccgac cagcacgtgc ctggtgagtg cagcagtgcc tcggcagccc ccctcactac 22500
accagggccc acaggcagta tgtgactgga ggggcgtggg ccgtgctttc ttcctgcagg 22560
cagccccttc tctgtgaagg tgacaggcga gggccgggtg aaagagagca tcacccgcag 22620
gcgtcgggct ccttcagtgg ccaacgttgg tagtcattgt gacctcagcc tgaaaatccc 22680
tggtaggggc tgtgggaagc ctggggaggg gtcctggggc tcaagcagcc ccaagaggag 22740
gggtggagcc cagggctgct gctcactagc ccatccccac cctgcagaaa ttagcatcca 22800
ggatatgaca gcccaggtga ccagcccatc gggcaagacc catgaggccg agatcgtgga 22860
aggggagaac cacacctact gcatccgctt tgttcccgct gagatgggca cacacacagt 22920
cagcgtgaag tacaagggcc agcacgtgcc tgggagcccc ttccagttca ccgtggggcc 22980
cctaggggaa gggggagccc acaaggtccg agctgggggc cctggcctgg agagagctga 23040
agctggagtg ccaggtaggc ctgctcacac cccgagtgct cgctctcctg cgttggccag 23100
ggtggggttg ggggtggagg aaagagccgg caggcatgtc taccttggct atgcctggag 23160
ggggccgagg ctggtgaagc agccttcagt gaggacaaac tgttctccca cagccgaatt 23220
cagtatctgg acccgggaag ctggtgctgg aggcctggcc attgctgtcg agggccccag 23280
caaggctgag atctcttttg aggaccgcaa ggacggctcc tgtggtgtgg cttatgtggt 23340
ccaggagcca ggtactggga acccggctgg ggttggagga ggtggggcct gagtgtgggt 23400
attggaccca gggctggcac agatagccct gcctggcact cactcttcac tttgaggtca 23460
cagggccacc caggctgttc gtgggaggtg ggaggcccaa aggctgatga gccggtctta 23520
cactctttcc ctgcccaggt gactacgaag tctcagtcaa gttcaacgag gaacacattc 23580
ccgacagccc cttcgtggtg cctgtggctt ctccgtctgg cgacgcccgc cgcctcactg 23640
tttctagcct tcaggtgagg caccgagaga aaccgcccac ctggggctcc tgggcccgga 23700
cagaccagag ccaccgcaga gaccaggcct tggccctgtg ttcagtgacc cccctggccc 23760
agctctgggt tccaggcctc tgctctggcc gggtgcagcc cacgcttggg gtcggcagga 23820
aatatcctgc ccaccacgtg gagtttttct cgtgtctcag gtctaaaggc tttgaacaga 23880
agcctgtgcc ccttgagcac cagggctgcg gtttaaagag ggacagcctg ccaaggctgg 23940
gtgctgccca cagggtgggg cagccctccc ttcctgccac ctgggtgtgt gcgacggcag 24000
agtgtggggg caggggcggg gatgtgcgcc tgtggcttgc tgccccttgc aaatcagtgg 24060
ctctccctct ttaaaccaag ttggacgcca gatgggtaag tgcgacccgc gggcctcttg 24120
ctcctggggc ctttccgtcc tcccttgccc tggctcaagc acccccatct aaccatgtct 24180
gctgtgcttc caggagtcag ggctaaaggt caaccagcca gcctcttttg cagtcagcct 24240
gaacggggcc aagggggcga tcgatgccaa ggtgcacagc ccctcaggag ccctggagga 24300
gtgctatgtc acagaaattg accaaggtga ggccctgtcc ctgcccggcc gccctgccct 24360
gctggctgga agcaggctga gagtacaaaa ggaaggtacc gcttctgtaa gcagccaaga 24420
cggggcccca actcctgggc cccctaagcc aggcaaccct ttcccaattg gtgacccaag 24480
ccgctgggga tgtggctcgc cacccacagc tattaggaag gccttctacc ctgcagtacc 24540
atgccatctc cacagggaaa gactcaaagt ccagcctcag tgctgcccgg cccttcagcc 24600
acggccatgg tacttgtgca caggcctggg gcagccttgt gggtaggagg agcccagtgg 24660
gcttcatttc acggcctagt cctgcccttc ccagctgcat gacctgaagc aagttcctgc 24720
ccgtctctga gcctgttaac atgcagggga tatggtgttc acggtaacct ttcttaggag 24780
gcagcaaggc ctgggtttgg cttgtaaaag atttccgtcc caatgcaccc tgacggtggg 24840
cagcttgagt gtctaaacct tcggccctca ggaggtctgc tgcggggtgc aggtgcccag 24900
cgtggctggg ctcacactga tggaccggca aaatggggag ggccagggtt gaggctgttc 24960
ctcacagaca ccatctgctg gtttgaggag gggccccagg cccacagcat gactccctgc 25020
tcctcagata agtatgctgt gcgcttcatc cctcgggaga atggcgttta cctgattgac 25080
gtcaagttca acggcaccca catccctgga agccccttca agatccgagt tggggagcct 25140
gggcatggag gggacccagg cttggtgtct gcttacggag caggtctgga aggcggtgtc 25200
acaggtaagt ctgtcggtgc ggctgcacgt gtgcacacag ctgctaggcc cttgcctcca 25260
agctcttggt gacaacagga ggcacctgga ggtgacaagc ctgtgctggg tggccgagga 25320
cagggaggca ggccagtctg gctctgcctg acctcctgtg ctcccaggga acccagctga 25380
gttcgtcgtg aacacgagca atgcgggagc tggtgccctg tcggtgacca ttgacggccc 25440
ctccaaggtg aagatggatt gccaggagtg ccctgagggc taccgcgtca cctatacccc 25500
catggcacct ggcagctacc tcatctccat caagtacggc ggcccctacc acattggggg 25560
cagccccttc aaggccaaag tcacaggtga gcctggggcc aagctattgg catctgccca 25620
acgcccggca ccacagccac ctcttagccc cacccactct gccttgcagg cccccgtctc 25680
gtcagcaacc acagcctcca cgagacatca tcagtgtttg tagactctct gaccaaggcc 25740
acctgtgccc cccagcatgg ggccccgggt cctgggcctg ctgacgccag caaggtggtg 25800
gccaagggcc tggggctgag caaggcctac gtaggccaga agagcagctt cacagtagac 25860
tgcagcaaag caggtgggca acctgggccc ccggcccacc ttcccaccaa aatgaggcca 25920
gaaatcacag gatggccagt gtctgggaga gcagggaccg cctttggggc gtggctttca 25980
cttctagagc cacctccctg ccacctcctg gacccctcaa acaaagacca gggaggagct 26040
ggaatctgct aagctggcct gggttgggga ggtgctggca gctctttagg aagagagaac 26100
tgtcacccca gaactggctt agggacagga gaggagagca ggacaccagc gggaggaagg 26160
gggctgggac ctgggactga ggacccctct tgcctcaggc aacaacatgc tgctggtggg 26220
ggttcatggc ccaaggaccc cctgcgagga gatcctggtg aagcacgtgg gcagccggct 26280
ctacagcgtg tcctacctgc tcaaggacaa gggggagtac acactggtgg tcaaatgggg 26340
ggacgagcac atcccaggca gcccctaccg cgttgtggtg ccctgagtct ggggcccgtg 26400
ccagccggca gcccccaagc ctgccccgct acccaagcag ccccgccctc ttcccctcaa 26460
ccccggccca ggccgccctg gccgcccgcc tgtcactgca gccgcccctg ccctgtgccg 26520
tgctgcgctc acctgcctcc ccagccagcc gctgacctct cggctttcac ttgggcagag 26580
ggagccattt ggtggcgctg cttgtcttct ttggttctgg gaggggtgag ggatgggggt 26640
cctgtacaca accacccact agttctcttc tccagccaag aggaataaag ttttgcttcc 26700
attctccttt gcgtggctgt agctttgttg gggttggggg accagtcaag gccaacctga 26760
caggggtgcc aatgagcaga tcaaagcatg ggctgagcac aggtcacctc cctccagggc 26820
tcctgcttca ccccaccctg actccagaag gcaccatcta tctttgcttc ctctgcctcc 26880
ctgagttcaa gccaacgtaa ggagaggaac atgtagcaac ctggaatgga gcccaggcag 26940
caaggaggca aagagctggg caggagagcc cattactggg tagggtggtg tcaggaaggc 27000
tccctggtgg aggtggccag ataatcaaca gcaggcccgg ccgggtgtgg tggctcacgc 27060
ctgtaatccc agcacttcgg gaggccgagg caggcagatc acaaggtcag gagatcaaga 27120
ccatcctggc taacacggtg aaaccccgtc tctactaaaa atacaaaaaa ttagccaggt 27180
gtggtggcgg gcgcctgtag tcccagctac tcgggaggct gaggcaggag aatggtgcga 27240
acccaggaga cagagcttgc agtgagccga gatcgcgcca ctgccctcca gcctgggcga 27300
cagagcgaga c 27311
<210> 2
<211> 20
<212> DNA
<213> FLNA-F
<400> 2
tcattcgtgc ccaaggagac 20
<210> 3
<211> 20
<212> DNA
<213> FLNA-R
<400> 3
ctgaccagag acccgaacac 20
<210> 4
<211> 3855
<212> DNA
<213> GAPDH reference Gene
<400> 4
gctctctgct cctcctgttc gacagtcagc cgcatcttct tttgcgtcgc caggtgaaga 60
cgggcggaga gaaacccggg aggctaggga cggcctgaag gcggcagggg cgggcgcagg 120
ccggatgtgt tcgcgccgct gcggggtggg cccgggcggc ctccgcattg caggggcggg 180
cggaggacgt gatgcggcgc gggctgggca tggaggcctg gtgggggagg ggaggggagg 240
cgtgtgtgtc ggccggggcc actaggcgct cactgttctc tccctccgcg cagccgagcc 300
acatcgctca gacaccatgg ggaaggtgaa ggtcggagtc aacgggtgag ttcgcgggtg 360
gctggggggc cctgggctgc gaccgccccc gaaccgcgtc tacgagcctt gcgggctccg 420
ggtctttgca gtcgtatggg ggcagggtag ctgttccccg caaggagagc tcaaggtcag 480
cgctcggacc tggcggagcc ccgcacccag gctgtggcgc cctgtgcagc tccgcccttg 540
cggcgccatc tgcccggagc ctccttcccc tagtccccag aaacaggagg tccctactcc 600
cgcccgagat cccgacccgg acccctaggt gggggacgct ttctttcctt tcgcgctctg 660
cggggtcacg tgtcgcagag gagcccctcc cccacggcct ccggcaccgc aggccccggg 720
atgctagtgc gcagcgggtg catccctgtc cggatgctgc gcctgcggta gagcggccgc 780
catgttgcaa ccgggaagga aatgaatggg cagccgttag gaaagcctgc cggtgactaa 840
ccctgcgctc ctgcctcgat gggtggagtc gcgtgtggcg gggaagtcag gtggagcgag 900
gctagctggc ccgatttctc ctccgggtga tgcttttcct agattattct ctggtaaatc 960
aaagaagtgg gtttatggag gtcctcttgt gtcccctccc cgcagaggtg tggtggctgt 1020
ggcatggtgc caagccggga gaagctgagt catgggtagt tggaaaagga catttccacc 1080
gcaaaatggc ccctctggtg gtggcccctt cctgcagcgc cggctcacct cacggccccg 1140
cccttcccct gccagcctag cgttgacccg accccaaagg ccaggctgta aatgtcaccg 1200
ggaggattgg gtgtctgggc gcctcgggga acctgccctt ctccccattc cgtcttccgg 1260
aaaccagatc tcccaccgca ccctggtctg aggttaaata tagctgctga cctttctgta 1320
gctgggggcc tgggctgggg ctctctccca tcccttctcc ccacacacat gcacttacct 1380
gtgctcccac tcctgatttc tggaaaagag ctaggaagga caggcaactt ggcaaatcaa 1440
agccctggga ctagggggtt aaaatacagc ttcccctctt cccacccgcc ccagtctctg 1500
tcccttttgt aggagggact tagagaaggg gtgggcttgc cctgtccagt taatttctga 1560
cctttactcc tgccctttga gtttgatgat gctgagtgta caagcgtttt ctccctaaag 1620
ggtgcagctg agctaggcag cagcaagcat tcctggggtg gcatagtggg gtggtgaata 1680
ccatgtacaa agcttgtgcc cagactgtgg gtggcagtgc cccacatggc cgcttctcct 1740
ggaagggctt cgtatgactg ggggtgttgg gcagccctgg agccttcagt tgcagccatg 1800
ccttaagcca ggccagcctg gcagggaagc tcaagggaga taaaattcaa cctcttgggc 1860
cctcctgggg gtaaggagat gctgcattcg ccctcttaat ggggaggtgg cctagggctg 1920
ctcacatatt ctggaggagc ctcccctcct catgccttct tgcctcttgt ctcttagatt 1980
tggtcgtatt gggcgcctgg tcaccagggc tgcttttaac tctggtaaag tggatattgt 2040
tgccatcaat gaccccttca ttgacctcaa ctacatggtg agtgctacat ggtgagcccc 2100
aaagctggtg tgggaggagc cacctggctg atgggcagcc ccttcatacc ctcacgtatt 2160
cccccaggtt tacatgttcc aatatgattc cacccatggc aaattccatg gcaccgtcaa 2220
ggctgagaac gggaagcttg tcatcaatgg aaatcccatc accatcttcc aggagtgagt 2280
ggaagacaga atggaagaaa tgtgctttgg ggaggcaact aggatggtgt ggctcccttg 2340
ggtatatggt aaccttgtgt ccctcaatat ggtcctgtcc ccatctcccc cccaccccca 2400
taggcgagat ccctccaaaa tcaagtgggg cgatgctggc gctgagtacg tcgtggagtc 2460
cactggcgtc ttcaccacca tggagaaggc tggggtgagt gcaggagggc ccgcgggagg 2520
ggaagctgac tcagccctgc aaaggcagga cccgggttca taactgtctg cttctctgct 2580
gtaggctcat ttgcaggggg gagccaaaag ggtcatcatc tctgccccct ctgctgatgc 2640
ccccatgttc gtcatgggtg tgaaccatga gaagtatgac aacagcctca agatcatcag 2700
gtgaggaagg cagggcccgt ggagaagcgg ccagcctggc accctatgga cacgctcccc 2760
tgacttgcgc cccgctccct ctttctttgc agcaatgcct cctgcaccac caactgctta 2820
gcacccctgg ccaaggtcat ccatgacaac tttggtatcg tggaaggact catggtatga 2880
gagctgggga atgggactga ggctcccacc tttctcatcc aagactggct cctccctgcc 2940
ggggctgcgt gcaaccctgg ggttgggggt tctggggact ggctttccca taatttcctt 3000
tcaaggtggg gagggaggta gaggggtgat gtggggagta cgctgcaggg cctcactcct 3060
tttgcagacc acagtccatg ccatcactgc cacccagaag actgtggatg gcccctccgg 3120
gaaactgtgg cgtgatggcc gcggggctct ccagaacatc atccctgcct ctactggcgc 3180
tgccaaggct gtgggcaagg tcatccctga gctgaacggg aagctcactg gcatggcctt 3240
ccgtgtcccc actgccaacg tgtcagtggt ggacctgacc tgccgtctag aaaaacctgc 3300
caaatatgat gacatcaaga aggtggtgaa gcaggcgtcg gagggccccc tcaagggcat 3360
cctgggctac actgagcacc aggtggtctc ctctgacttc aacagcgaca cccactcctc 3420
cacctttgac gctggggctg gcattgccct caacgaccac tttgtcaagc tcatttcctg 3480
gtatgtggct ggggccagag actggctctt aaaaagtgca gggtctggcg ccctctggtg 3540
gctggctcag aaaaagggcc ctgacaactc ttttcatctt ctaggtatga caacgaattt 3600
ggctacagca acagggtggt ggacctcatg gcccacatgg cctccaagga gtaagacccc 3660
tggaccacca gccccagcaa gagcacaaga ggaagagaga gaccctcact gctggggagt 3720
ccctgccaca ctcagtcccc caccacactg aatctcccct cctcacagtt gccatgtaga 3780
ccccttgaag aggggagggg cctagggagc cgcaccttgt catgtaccat caataaagta 3840
ccctgtgctc aacca 3855
<210> 5
<211> 21
<212> DNA
<213> GAPDH-F
<400> 5
ggagcgagat ccctccaaaa t 21
<210> 6
<211> 23
<212> DNA
<213> GAPDH-R
<400> 6
ggctgttgtc atacttctca tgg 23
<210> 7
<211> 348
<212> DNA
<213> RPLP2
<400> 7
atgcgctacg tcgcctccta cctgctggct gccctagggg gcaactcctc ccccagcgcc 60
aaggacatca agaagatctt ggacagcgtg ggtatcgagg cggacgacga ccggctcaac 120
aaggttatca gtgagctgaa tggaaaaaac attgaagacg tcattgccca gggtattggc 180
aagcttgcca gtgtacctgc tggtggggct gtagccgtct ctgctgcccc aggctctgca 240
gcccctgctg ctggttctgc ccctgctgca gcagaggaga agaaagatga gaagaaggag 300
gagtctgaag agtcagatga tgacatggga tttggccttt ttgattaa 348
<210> 8
<211> 294
<212> DNA
<213> RPL37
<400> 8
atgacgaagg gaacgtcatc gtttggaaag cgtcgcaata agacgcacac gttgtgccgc 60
cgctgtggct ctaaggccta ccaccttcag aagtcgacct gtggcaaatg tggctaccct 120
gccaagcgca agagaaagta taactggagt gccaaggcta aaagacgaaa taccaccgga 180
actggtcgaa tgaggcacct aaaaattgta taccgcagat tcaggcatgg attccgtgaa 240
ggaacaacac ctaaacccaa gagggcagct gttgcagcat ccagttcatc ttaa 294

Claims (3)

1. The application of the platelet molecular marker for lung cancer in preparing a lung cancer detection kit is characterized in that the base sequence of the platelet molecular marker is shown as SEQ ID NO. 1;
a lung cancer detection kit comprising an upstream primer and a downstream primer of the platelet molecular marker;
base sequence of FLNA-F (5 'to 3'): TCATTCGTGCCCAAGGAGAC
Base sequence of FLNA-R (5 'to 3'): CTGACCAGAGACCCGAACAC;
according to the application of the lung cancer detection kit in preparing a diagnosis kit for diagnosing lung cancer and/or distinguishing benign and malignant nodules, the method comprises the following steps:
1) Extracting total RNA of a platelet sample to be detected and normal tissues, and synthesizing cDNA by reverse transcription;
2) Using cDNA as a template, performing FLNA gene amplification by adopting fluorescent quantitative PCR under the guidance of the upstream primer and the downstream primer, and amplifying GAPDH reference genes, and simultaneously detecting fluorescent values and CT values of the FLNA gene and the GAPDH gene;
3) The relative quantification of GAPDH was used to calculate the expression level of the molecular markers.
2. The use of a platelet molecular marker for lung cancer according to claim 1 in the preparation of a lung cancer detection kit, wherein the kit further comprises GAPDH internal reference gene primers;
base sequence of GAPDH-F (5 'to 3'): GGAGCGAGATCCCTCCAAAAT
Base sequence of GAPDH-R (5 'to 3'): GGCTGTTGTCATACTTCTCATGG.
3. The use of the platelet molecular marker for lung cancer according to claim 1 in preparing a lung cancer detection kit, wherein the fluorescent quantitative PCR reaction conditions are set: pre-denaturation at 95 ℃ for 30s, denaturation at 95 ℃ for 5s, annealing at 60 ℃ for 30s, 40 cycles total, and collecting fluorescent signals; a dissolution profile analysis was performed at 60-95℃to determine the identity of the amplified product.
CN202111634283.1A 2021-12-29 2021-12-29 Platelet molecular marker for lung cancer, kit and detection method Active CN114438204B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202111634283.1A CN114438204B (en) 2021-12-29 2021-12-29 Platelet molecular marker for lung cancer, kit and detection method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202111634283.1A CN114438204B (en) 2021-12-29 2021-12-29 Platelet molecular marker for lung cancer, kit and detection method

Publications (2)

Publication Number Publication Date
CN114438204A CN114438204A (en) 2022-05-06
CN114438204B true CN114438204B (en) 2024-03-19

Family

ID=81365664

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202111634283.1A Active CN114438204B (en) 2021-12-29 2021-12-29 Platelet molecular marker for lung cancer, kit and detection method

Country Status (1)

Country Link
CN (1) CN114438204B (en)

Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111690746A (en) * 2020-06-30 2020-09-22 镇江维思生物科技有限责任公司 Platelet RNA marker related to lung cancer and application thereof

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111690746A (en) * 2020-06-30 2020-09-22 镇江维思生物科技有限责任公司 Platelet RNA marker related to lung cancer and application thereof

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
基于RNA高通量测序数据的泛癌血小板参考基因的筛选;杨桂姝;万方数据;第1-79页 *

Also Published As

Publication number Publication date
CN114438204A (en) 2022-05-06

Similar Documents

Publication Publication Date Title
JP7082380B2 (en) Pancreatic cancer detection kit or device and detection method
AU2019201577B2 (en) Cancer diagnostics using biomarkers
JP6927701B2 (en) Biliary tract cancer detection kit or device and detection method
DK2681333T3 (en) EVALUATION OF RESPONSE TO GASTROENTEROPANCREATIC NEUROENDOCRINE NEOPLASIS (GEP-NENE) THERAPY
JP6925125B2 (en) Gastric cancer detection kit or device and detection method
KR20150090246A (en) Molecular diagnostic test for cancer
KR20160052729A (en) Molecular diagnostic test for lung cancer
KR100964193B1 (en) Markers for liver cancer prognosis
CN106434870A (en) ncRNA and uses thereof
CN111183233A (en) Assessment of Notch cell signaling pathway activity using mathematical modeling of target gene expression
US20180142303A1 (en) Methods and compositions for diagnosing or detecting lung cancers
CN111183234A (en) Inhibition of HSD17B13 in the treatment of liver disease in patients expressing the PNPLA3I 148M variant
TW201013187A (en) Molecular markers for lung and colorectal carcinomas
KR20160117606A (en) Molecular diagnostic test for predicting response to anti-angiogenic drugs and prognosis of cancer
CN111479933A (en) Assessment of JAK-STAT1/2 cell signaling pathway activity using mathematical modeling of target gene expression
CN109423515B (en) Gene markers for liver cancer detection and application thereof
KR20190026769A (en) Compositions and methods for diagnosing lung cancer using gene expression profiles
AU2008203227A1 (en) Colorectal cancer prognostics
JP2012244989A (en) Information-presenting method for diagnosing cancer by using real time polymerization reaction, and kit therefor for diagnosing cancer
CN104845970B (en) The gene related to papillary thyroid rumours
CN108866187B (en) Long-chain non-coding RNA marker related to lung cancer auxiliary diagnosis and application thereof
CN107820519A (en) Health mark
CN114438204B (en) Platelet molecular marker for lung cancer, kit and detection method
CN111235279A (en) Application of tumor-associated fibroblast specific long non-coding RNA in lung adenocarcinoma prognosis evaluation
US20030175761A1 (en) Identification of genes whose expression patterns distinguish benign lymphoid tissue and mantle cell, follicular, and small lymphocytic lymphoma

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant