Literature DB >> 22470064

RASL-seq for massively parallel and quantitative analysis of gene expression.

Hairi Li1, Jinsong Qiu, Xiang-Dong Fu.   

Abstract

Large-scale, quantitative analysis of gene expression can be accomplished by microarray or RNA-seq analysis. While these methods are applicable to genome-wide analysis, it is often desirable to quantify expression of a more limited set of genes in hundreds, thousands, or even tens of thousands of biological samples. For example, some studies may require monitoring a sizable panel of key genes under many different experimental conditions, during development, or following treatment with a large library of small molecules, for which current genome-wide methods are either inefficient or cost-prohibitive. This unit presents a method that permits quantitative profiling of several hundred selected genes in a large number of samples by coupling RNA-mediated oligonucleotide Annealing, Selection, and Ligation with Next-Gen sequencing (RASL-seq). The method even allows direct analysis of RNA levels in cell lysates and is also adaptable to full automation, making it ideal for large-scale analysis of multiple biological pathways or regulatory gene networks in the context of systematic genetic or chemical genetic perturbations.
© 2012 by John Wiley & Sons, Inc.

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Year:  2012        PMID: 22470064      PMCID: PMC3325489          DOI: 10.1002/0471142727.mb0413s98

Source DB:  PubMed          Journal:  Curr Protoc Mol Biol        ISSN: 1934-3647


  5 in total

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Journal:  Nat Biotechnol       Date:  2002-04       Impact factor: 54.908

2.  A versatile assay for high-throughput gene expression profiling on universal array matrices.

Authors:  Jian-Bing Fan; Joanne M Yeakley; Marina Bibikova; Eugene Chudin; Eliza Wickham; Jing Chen; Dennis Doucet; Philippe Rigault; Baohong Zhang; Richard Shen; Celeste McBride; Hai-Ri Li; Xiang-Dong Fu; Arnold Oliphant; David L Barker; Mark S Chee
Journal:  Genome Res       Date:  2004-05       Impact factor: 9.043

3.  A ligase-mediated gene detection technique.

Authors:  U Landegren; R Kaiser; J Sanders; L Hood
Journal:  Science       Date:  1988-08-26       Impact factor: 47.728

4.  Timing of plant immune responses by a central circadian regulator.

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Journal:  Nature       Date:  2011-02-03       Impact factor: 49.962

5.  Two-dimensional transcriptome profiling: identification of messenger RNA isoform signatures in prostate cancer from archived paraffin-embedded cancer specimens.

Authors:  Hai-Ri Li; Jessica Wang-Rodriguez; T Murlidharan Nair; Joanne M Yeakley; Young-Soo Kwon; Marina Bibikova; Christina Zheng; Lixin Zhou; Kui Zhang; Tracy Downs; Xiang-Dong Fu; Jian-Bing Fan
Journal:  Cancer Res       Date:  2006-04-15       Impact factor: 12.701

  5 in total
  47 in total

1.  Versatile pathway-centric approach based on high-throughput sequencing to anticancer drug discovery.

Authors:  Hairi Li; Hongyan Zhou; Dong Wang; Jinsong Qiu; Yu Zhou; Xiangqiang Li; Michael G Rosenfeld; Sheng Ding; Xiang-Dong Fu
Journal:  Proc Natl Acad Sci U S A       Date:  2012-03-06       Impact factor: 11.205

2.  The Akt-SRPK-SR axis constitutes a major pathway in transducing EGF signaling to regulate alternative splicing in the nucleus.

Authors:  Zhihong Zhou; Jinsong Qiu; Wen Liu; Yu Zhou; Ryan M Plocinik; Hairi Li; Qidong Hu; Gourisanker Ghosh; Joseph A Adams; Michael G Rosenfeld; Xiang-Dong Fu
Journal:  Mol Cell       Date:  2012-06-21       Impact factor: 17.970

3.  Moving Toward Integrating Gene Expression Profiling Into High-Throughput Testing: A Gene Expression Biomarker Accurately Predicts Estrogen Receptor α Modulation in a Microarray Compendium.

Authors:  Natalia Ryan; Brian Chorley; Raymond R Tice; Richard Judson; J Christopher Corton
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4.  Induced transcription and stability of CELF2 mRNA drives widespread alternative splicing during T-cell signaling.

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Journal:  Proc Natl Acad Sci U S A       Date:  2015-04-13       Impact factor: 11.205

5.  Splicing Activation by Rbfox Requires Self-Aggregation through Its Tyrosine-Rich Domain.

Authors:  Yi Ying; Xiao-Jun Wang; Celine K Vuong; Chia-Ho Lin; Andrey Damianov; Douglas L Black
Journal:  Cell       Date:  2017-07-13       Impact factor: 41.582

6.  The Augmented R-Loop Is a Unifying Mechanism for Myelodysplastic Syndromes Induced by High-Risk Splicing Factor Mutations.

Authors:  Liang Chen; Jia-Yu Chen; Yi-Jou Huang; Ying Gu; Jinsong Qiu; Hao Qian; Changwei Shao; Xuan Zhang; Jing Hu; Hairi Li; Shunmin He; Yu Zhou; Omar Abdel-Wahab; Dong-Er Zhang; Xiang-Dong Fu
Journal:  Mol Cell       Date:  2018-01-27       Impact factor: 17.970

Review 7.  RNA-binding proteins in neurodegeneration: Seq and you shall receive.

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Review 8.  RNA-Seq methods for transcriptome analysis.

Authors:  Radmila Hrdlickova; Masoud Toloue; Bin Tian
Journal:  Wiley Interdiscip Rev RNA       Date:  2016-05-19       Impact factor: 9.957

9.  RBFox1-mediated RNA splicing regulates cardiac hypertrophy and heart failure.

Authors:  Chen Gao; Shuxun Ren; Jae-Hyung Lee; Jinsong Qiu; Douglas J Chapski; Christoph D Rau; Yu Zhou; Maha Abdellatif; Astushi Nakano; Thomas M Vondriska; Xinshu Xiao; Xiang-Dong Fu; Jau-Nian Chen; Yibin Wang
Journal:  J Clin Invest       Date:  2015-11-30       Impact factor: 14.808

Review 10.  Plant Immune Mechanisms: From Reductionistic to Holistic Points of View.

Authors:  Jie Zhang; Gitta Coaker; Jian-Min Zhou; Xinnian Dong
Journal:  Mol Plant       Date:  2020-09-08       Impact factor: 13.164

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