Literature DB >> 17703209

Digital karyotyping.

Rebecca J Leary1, Jordan Cummins, Tian-Li Wang, Victor E Velculescu.   

Abstract

Detection of copy number variation in the human genome is important for identifying naturally occurring copy number polymorphisms as well as alterations that underlie various human diseases, including cancer. Digital karyotyping uses short sequence tags derived from specific genomic loci to provide a quantitative and high-resolution view of copy number changes on a genome-wide scale. Genomic tags are obtained using a combination of enzymatic digests and isolation of short DNA sequences. Individual tags are linked into ditags, concatenated, cloned and sequenced. Tags are matched to reference genome sequences and digital enumeration of groups of neighboring tags provides quantitative copy number information along each chromosome. Digital karyotyping libraries can be generated in about a week, and library sequencing and data analysis require several additional weeks.

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Year:  2007        PMID: 17703209     DOI: 10.1038/nprot.2007.276

Source DB:  PubMed          Journal:  Nat Protoc        ISSN: 1750-2799            Impact factor:   13.491


  14 in total

Review 1.  Ovarian cancer.

Authors:  Kathleen R Cho; Ie-Ming Shih
Journal:  Annu Rev Pathol       Date:  2009       Impact factor: 23.472

2.  Biome representational in silico karyotyping.

Authors:  Valliammai Muthappan; Aaron Y Lee; Tamara L Lamprecht; Lakshmi Akileswaran; Suzanne M Dintzis; Choli Lee; Vincent Magrini; Elaine R Mardis; Jay Shendure; Russell N Van Gelder
Journal:  Genome Res       Date:  2011-02-10       Impact factor: 9.043

3.  DNA copy number, including telomeres and mitochondria, assayed using next-generation sequencing.

Authors:  John C Castle; Matthew Biery; Heather Bouzek; Tao Xie; Ronghua Chen; Kira Misura; Stuart Jackson; Christopher D Armour; Jason M Johnson; Carol A Rohl; Christopher K Raymond
Journal:  BMC Genomics       Date:  2010-04-16       Impact factor: 3.969

Review 4.  Analysis of next-generation genomic data in cancer: accomplishments and challenges.

Authors:  Li Ding; Michael C Wendl; Daniel C Koboldt; Elaine R Mardis
Journal:  Hum Mol Genet       Date:  2010-09-15       Impact factor: 6.150

5.  Integrated analysis of homozygous deletions, focal amplifications, and sequence alterations in breast and colorectal cancers.

Authors:  Rebecca J Leary; Jimmy C Lin; Jordan Cummins; Simina Boca; Laura D Wood; D Williams Parsons; Siân Jones; Tobias Sjöblom; Ben-Ho Park; Ramon Parsons; Joseph Willis; Dawn Dawson; James K V Willson; Tatiana Nikolskaya; Yuri Nikolsky; Levy Kopelovich; Nick Papadopoulos; Len A Pennacchio; Tian-Li Wang; Sanford D Markowitz; Giovanni Parmigiani; Kenneth W Kinzler; Bert Vogelstein; Victor E Velculescu
Journal:  Proc Natl Acad Sci U S A       Date:  2008-10-13       Impact factor: 11.205

Review 6.  Translating insights from the cancer genome into clinical practice.

Authors:  Lynda Chin; Joe W Gray
Journal:  Nature       Date:  2008-04-03       Impact factor: 49.962

7.  Integrated genomic analyses identify ERRFI1 and TACC3 as glioblastoma-targeted genes.

Authors:  Christopher G Duncan; Patrick J Killela; Cathy A Payne; Benjamin Lampson; William C Chen; Jeff Liu; David Solomon; Todd Waldman; Aaron J Towers; Simon G Gregory; Kerrie L McDonald; Roger E McLendon; Darell D Bigner; Hai Yan
Journal:  Oncotarget       Date:  2010-08

8.  High-resolution mapping of copy-number alterations with massively parallel sequencing.

Authors:  Derek Y Chiang; Gad Getz; David B Jaffe; Michael J T O'Kelly; Xiaojun Zhao; Scott L Carter; Carsten Russ; Chad Nusbaum; Matthew Meyerson; Eric S Lander
Journal:  Nat Methods       Date:  2008-11-30       Impact factor: 28.547

9.  Chronic Cigarette Smoke-Induced Epigenomic Changes Precede Sensitization of Bronchial Epithelial Cells to Single-Step Transformation by KRAS Mutations.

Authors:  Michelle Vaz; Stephen Y Hwang; Ioannis Kagiampakis; Jillian Phallen; Ashwini Patil; Heather M O'Hagan; Lauren Murphy; Cynthia A Zahnow; Edward Gabrielson; Victor E Velculescu; Hariharan P Easwaran; Stephen B Baylin
Journal:  Cancer Cell       Date:  2017-09-11       Impact factor: 31.743

10.  A novel method, digital genome scanning detects KRAS gene amplification in gastric cancers: involvement of overexpressed wild-type KRAS in downstream signaling and cancer cell growth.

Authors:  Hiroaki Mita; Minoru Toyota; Fumio Aoki; Hirofumi Akashi; Reo Maruyama; Yasushi Sasaki; Hiromu Suzuki; Masashi Idogawa; Lisa Kashima; Kazuyoshi Yanagihara; Masahiro Fujita; Masao Hosokawa; Masanobu Kusano; Sorin Vasile Sabau; Haruyuki Tatsumi; Kohzoh Imai; Yasuhisa Shinomura; Takashi Tokino
Journal:  BMC Cancer       Date:  2009-06-23       Impact factor: 4.430

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