Literature DB >> 20639869

Amplification-free digital gene expression profiling from minute cell quantities.

Fatih Ozsolak1, David T Ting, Ben S Wittner, Brian W Brannigan, Suchismita Paul, Nabeel Bardeesy, Sridhar Ramaswamy, Patrice M Milos, Daniel A Haber.   

Abstract

Generating reliable expression profiles from minute cell quantities is critical for scientific discovery and potential clinical applications. Here we present low-quantity digital gene expression (LQ-DGE), an amplification-free approach involving capture of poly(A)(+) RNAs from cellular lysates onto poly(dT)-coated sequencing surfaces, followed by on-surface reverse transcription and sequencing. We applied LQ-DGE to profile malignant and nonmalignant mouse and human cells, demonstrating its quantitative power and potential applicability to archival specimens.

Entities:  

Mesh:

Substances:

Year:  2010        PMID: 20639869      PMCID: PMC2975601          DOI: 10.1038/nmeth.1480

Source DB:  PubMed          Journal:  Nat Methods        ISSN: 1548-7091            Impact factor:   28.547


  14 in total

1.  Limitations and possibilities of small RNA digital gene expression profiling.

Authors:  Sam E V Linsen; Elzo de Wit; Georges Janssens; Sheila Heater; Laura Chapman; Rachael K Parkin; Brian Fritz; Stacia K Wyman; Ewart de Bruijn; Emile E Voest; Scott Kuersten; Muneesh Tewari; Edwin Cuppen
Journal:  Nat Methods       Date:  2009-07       Impact factor: 28.547

2.  Quantitative analysis of gene expression in a single cell by qPCR.

Authors:  Kiyomi Taniguchi; Tomoharu Kajiyama; Hideki Kambara
Journal:  Nat Methods       Date:  2009-06-14       Impact factor: 28.547

3.  Activated Kras and Ink4a/Arf deficiency cooperate to produce metastatic pancreatic ductal adenocarcinoma.

Authors:  Andrew J Aguirre; Nabeel Bardeesy; Manisha Sinha; Lyle Lopez; David A Tuveson; James Horner; Mark S Redston; Ronald A DePinho
Journal:  Genes Dev       Date:  2003-12-17       Impact factor: 11.361

4.  Both p16(Ink4a) and the p19(Arf)-p53 pathway constrain progression of pancreatic adenocarcinoma in the mouse.

Authors:  Nabeel Bardeesy; Andrew J Aguirre; Gerald C Chu; Kuang-Hung Cheng; Lyle V Lopez; Aram F Hezel; Bin Feng; Cameron Brennan; Ralph Weissleder; Umar Mahmood; Douglas Hanahan; Mark S Redston; Lynda Chin; Ronald A Depinho
Journal:  Proc Natl Acad Sci U S A       Date:  2006-04-03       Impact factor: 11.205

5.  Quantification of the yeast transcriptome by single-molecule sequencing.

Authors:  Doron Lipson; Tal Raz; Alix Kieu; Daniel R Jones; Eldar Giladi; Edward Thayer; John F Thompson; Stan Letovsky; Patrice Milos; Marie Causey
Journal:  Nat Biotechnol       Date:  2009-07-05       Impact factor: 54.908

6.  Transcript length bias in RNA-seq data confounds systems biology.

Authors:  Alicia Oshlack; Matthew J Wakefield
Journal:  Biol Direct       Date:  2009-04-16       Impact factor: 4.540

7.  Polyadenylation of ribosomal RNA in human cells.

Authors:  Shimyn Slomovic; David Laufer; Dan Geiger; Gadi Schuster
Journal:  Nucleic Acids Res       Date:  2006-05-31       Impact factor: 16.971

8.  Assessment of whole genome amplification-induced bias through high-throughput, massively parallel whole genome sequencing.

Authors:  Robert Pinard; Alex de Winter; Gary J Sarkis; Mark B Gerstein; Karrie R Tartaro; Ramona N Plant; Michael Egholm; Jonathan M Rothberg; John H Leamon
Journal:  BMC Genomics       Date:  2006-08-23       Impact factor: 3.969

9.  Comparative evaluation of linear and exponential amplification techniques for expression profiling at the single-cell level.

Authors:  Tatiana Subkhankulova; Frederick J Livesey
Journal:  Genome Biol       Date:  2006-03-07       Impact factor: 13.583

10.  Antisense artifacts in transcriptome microarray experiments are resolved by actinomycin D.

Authors:  Fabiana Perocchi; Zhenyu Xu; Sandra Clauder-Münster; Lars M Steinmetz
Journal:  Nucleic Acids Res       Date:  2007-09-26       Impact factor: 16.971

View more
  26 in total

1.  Digital RNA sequencing minimizes sequence-dependent bias and amplification noise with optimized single-molecule barcodes.

Authors:  Katsuyuki Shiroguchi; Tony Z Jia; Peter A Sims; X Sunney Xie
Journal:  Proc Natl Acad Sci U S A       Date:  2012-01-09       Impact factor: 11.205

2.  Counting absolute numbers of molecules using unique molecular identifiers.

Authors:  Teemu Kivioja; Anna Vähärautio; Kasper Karlsson; Martin Bonke; Martin Enge; Sten Linnarsson; Jussi Taipale
Journal:  Nat Methods       Date:  2011-11-20       Impact factor: 28.547

Review 3.  On chromatin remodeling in mammary gland differentiation and breast tumorigenesis.

Authors:  Kornelia Polyak
Journal:  Cold Spring Harb Perspect Biol       Date:  2012-03-01       Impact factor: 10.005

4.  Identifying individual DNA species in a complex mixture by precisely measuring the spacing between nicking restriction enzymes with atomic force microscope.

Authors:  Jason Reed; Carlin Hsueh; Miu-Ling Lam; Rachel Kjolby; Andrew Sundstrom; Bud Mishra; J K Gimzewski
Journal:  J R Soc Interface       Date:  2012-03-28       Impact factor: 4.118

Review 5.  RNA sequencing: advances, challenges and opportunities.

Authors:  Fatih Ozsolak; Patrice M Milos
Journal:  Nat Rev Genet       Date:  2010-12-30       Impact factor: 53.242

6.  Integrating ChIP-sequencing and digital gene expression profiling to identify BRD7 downstream genes and construct their regulating network.

Authors:  Ke Xu; Wei Xiong; Ming Zhou; Heran Wang; Jing Yang; Xiayu Li; Pan Chen; Qianjin Liao; Hao Deng; Xiaoling Li; Guiyuan Li; Zhaoyang Zeng
Journal:  Mol Cell Biochem       Date:  2015-09-25       Impact factor: 3.396

Review 7.  Single-cell and regional gene expression analysis in Alzheimer's disease.

Authors:  Ruby Kwong; Michelle K Lupton; Michal Janitz
Journal:  Cell Mol Neurobiol       Date:  2012-01-22       Impact factor: 5.046

Review 8.  Dual RNA-seq of pathogen and host.

Authors:  Alexander J Westermann; Stanislaw A Gorski; Jörg Vogel
Journal:  Nat Rev Microbiol       Date:  2012-09       Impact factor: 60.633

Review 9.  Next-generation transcriptome assembly.

Authors:  Jeffrey A Martin; Zhong Wang
Journal:  Nat Rev Genet       Date:  2011-09-07       Impact factor: 53.242

10.  Unamplified cap analysis of gene expression on a single-molecule sequencer.

Authors:  Mutsumi Kanamori-Katayama; Masayoshi Itoh; Hideya Kawaji; Timo Lassmann; Shintaro Katayama; Miki Kojima; Nicolas Bertin; Ai Kaiho; Noriko Ninomiya; Carsten O Daub; Piero Carninci; Alistair R R Forrest; Yoshihide Hayashizaki
Journal:  Genome Res       Date:  2011-05-19       Impact factor: 9.043

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.