Whole genome sequence analysis of BT-474 using complete Genomics’ standard and long fragment read technologies
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  • 作者:Serban Ciotlos ; Qing Mao ; Rebecca Yu Zhang ; Zhenyu Li ; Robert Chin…
  • 关键词:Long Fragment Read ; Complete Genomics ; BT ; 474 ; BT474 ; Whole genome sequencing ; Breast cancer
  • 刊名:GigaScience
  • 出版年:2016
  • 出版时间:December 2016
  • 年:2016
  • 卷:5
  • 期:1
  • 全文大小:1,687 KB
  • 参考文献:1.Lasfargues EY, Coutinho WG, Redfield ES. Isolation of two human tumor epithelial cell lines from solid breast carcinomas. J Natl Cancer Inst. 1978;61(4):967–78.PubMed
    2.Rondon-Lagos M, Verdun Di Cantogno L, Marchio C, Rangel N, Payan-Gomez C, Gugliotta P, et al. Differences and homologies of chromosomal alterations within and between breast cancer cell lines: a clustering analysis. Mol Cytogenet. 2014;7(1):8. doi:10.​1186/​1755-8166-7-8 .PubMedCentral CrossRef PubMed
    3.Peters BA, Kermani BG, Sparks AB, Alferov O, Hong P, Alexeev A, et al. Accurate whole-genome sequencing and haplotyping from 10 to 20 human cells. Nature. 2012;487(7406):190–5. doi:10.​1038/​nature11236 .PubMedCentral CrossRef PubMed
    4.Peters BA, Kermani BG, Alferov O, Agarwal MR, McElwain MA, Gulbahce N, et al. Detection and phasing of single base de novo mutations in biopsies from human in vitro fertilized embryos by advanced whole-genome sequencing. Genome Res. 2015;25(3):426–34. doi:10.​1101/​gr.​181255.​114 .PubMedCentral CrossRef PubMed
    5.Drmanac R, Sparks AB, Callow MJ, Halpern AL, Burns NL, Kermani BG, et al. Human genome sequencing using unchained base reads on self-assembling DNA nanoarrays. Science. 2010;327(5961):78–81. doi:10.​1126/​science.​1181498 .CrossRef PubMed
    6.Carnevali P, Baccash J, Halpern AL, Nazarenko I, Nilsen GB, Pant KP, et al. Computational techniques for human genome resequencing using mated gapped reads. J Comput Biol. 2012;19(3):279–92. doi:10.​1089/​cmb.​2011.​0201 .CrossRef PubMed
    7.Edgren H, Murumagi A, Kangaspeska S, Nicorici D, Hongisto V, Kleivi K, et al. Identification of fusion genes in breast cancer by paired-end RNA-sequencing. Genome Biol. 2011;12(1):R6. doi:10.​1186/​gb-2011-12-1-r6 .PubMedCentral CrossRef PubMed
    8.Kangaspeska S, Hultsch S, Edgren H, Nicorici D, Murumagi A, Kallioniemi O. Reanalysis of RNA-sequencing data reveals several additional fusion genes with multiple isoforms. PLoS One. 2012;7(10):e48745. doi:10.​1371/​journal.​pone.​0048745 .PubMedCentral CrossRef PubMed
    9.Zook JM, Chapman B, Wang J, Mittelman D, Hofmann O, Hide W, et al. Integrating human sequence data sets provides a resource of benchmark SNP and indel genotype calls. Nat Biotechnol. 2014;32(3):246–51. doi:10.​1038/​nbt.​2835 .CrossRef PubMed
    10.Lawrence MS, Stojanov P, Mermel CH, Robinson JT, Garraway LA, Golub TR, et al. Discovery and saturation analysis of cancer genes across 21 tumour types. Nature. 2014;505(7484):495–501. doi:10.​1038/​nature12912 .PubMedCentral CrossRef PubMed
    11.Vogelstein B, Papadopoulos N, Velculescu VE, Zhou S, Diaz Jr LA, Kinzler KW. Cancer genome landscapes. Science. 2013;339(6127):1546–58. doi:10.​1126/​science.​1235122 .PubMedCentral CrossRef PubMed
    12.COSMIC. http://​cancer.​sanger.​ac.​uk/​cosmic . Accessed 10/01/2015.
    13.Landrum MJ, Lee JM, Riley GR, Jang W, Rubinstein WS, Church DM, et al. ClinVar: public archive of relationships among sequence variation and human phenotype. Nucleic Acids Res. 2014;42(Database issue):D980–5. doi:10.​1093/​nar/​gkt1113 .PubMedCentral CrossRef PubMed
    14.Barretina J, Caponigro G, Stransky N, Venkatesan K, Margolin AA, Kim S, et al. The Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivity. Nature. 2012;483(7391):603–7. doi:10.​1038/​nature11003 .PubMedCentral CrossRef PubMed
    15.Complete Genomics. http://​www.​completegenomics​.​com/​customer-support/​documentation/​100357139-2/​ .
    16.Serban Ciotlos; Qing Mao; Rebecca Yu Zhang; Zhenyu Li; Robert Chin; Natali Gulbahce; Sophie Jia Liu; Radoje Drmanac; Brock A Peters (2016): Supporting materials for “Whole genome sequence analysis of BT-474 using Complete Genomics’ standard and Long Fragment Read technologies”. GigaScience Database. doi.org/10.​5524/​100188
  • 作者单位:Serban Ciotlos (1)
    Qing Mao (1)
    Rebecca Yu Zhang (1)
    Zhenyu Li (2)
    Robert Chin (1)
    Natali Gulbahce (1)
    Sophie Jia Liu (1)
    Radoje Drmanac (1) (2)
    Brock A. Peters (1) (2)

    1. Complete Genomics, Inc., 2071 Stierlin Court, Mountain View, CA, 94043, USA
    2. BGI-Shenzhen, Shenzhen, 518083, China
  • 刊物主题:Bioinformatics; Computational Biology/Bioinformatics; Computer Appl. in Life Sciences; Proteomics; Data Mining and Knowledge Discovery;
  • 出版者:BioMed Central
  • ISSN:2047-217X
文摘
Background The cell line BT-474 is a popular cell line for studying the biology of cancer and developing novel drugs. However, there is no complete, published genome sequence for this highly utilized scientific resource. In this study we sought to provide a comprehensive and useful data set for the scientific community by generating a whole genome sequence for BT-474.
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