Whole genome sequence analysis of BT-474 using complete Genomics' standard and long fragment read technologies. Issue 1 (December 2016)
- Record Type:
- Journal Article
- Title:
- Whole genome sequence analysis of BT-474 using complete Genomics' standard and long fragment read technologies. Issue 1 (December 2016)
- Main Title:
- Whole genome sequence analysis of BT-474 using complete Genomics' standard and long fragment read technologies
- Authors:
- Ciotlos, Serban
Mao, Qing
Zhang, Rebecca
Li, Zhenyu
Chin, Robert
Gulbahce, Natali
Liu, Sophie
Drmanac, Radoje
Peters, Brock - Abstract:
- Abstract 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. Findings Five μg of genomic DNA, isolated from an early passage of the BT-474 cell line, was used to generate a whole genome sequence (114X coverage) using Complete Genomics' standard sequencing process. To provide additional variant phasing and structural variation data we also processed and analyzed two separate libraries of 5 and 6 individual cells to depths of 99X and 87X, respectively, using Complete Genomics' Long Fragment Read (LFR) technology. Conclusions BT-474 is a highly aneuploid cell line with an extremely complex genome sequence. This ~300X total coverage genome sequence provides a more complete understanding of this highly utilized cell line at the genomic level.
- Is Part Of:
- GigaScience. Volume 5:Issue 1(2016)
- Journal:
- GigaScience
- Issue:
- Volume 5:Issue 1(2016)
- Issue Display:
- Volume 5, Issue 1 (2016)
- Year:
- 2016
- Volume:
- 5
- Issue:
- 1
- Issue Sort Value:
- 2016-0005-0001-0000
- Page Start:
- 1
- Page End:
- 17
- Publication Date:
- 2016-12
- Subjects:
- Long Fragment Read -- Complete Genomics -- BT-474 -- BT474 -- Whole genome sequencing -- Breast cancer
Information storage and retrieval systems -- Research -- Periodicals
Biology -- Research -- Periodicals
Medical sciences -- Research -- Periodicals
Database management -- Periodicals
570.285 - Journal URLs:
- http://www.gigasciencejournal.com/ ↗
http://www.oxfordjournals.org/ ↗ - DOI:
- 10.1186/s13742-016-0113-x ↗
- Languages:
- English
- ISSNs:
- 2047-217X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 9930.xml