Literature DB >> 23269463

Reuse of public genome-wide gene expression data.

Johan Rung1, Alvis Brazma.   

Abstract

Our understanding of gene expression has changed dramatically over the past decade, largely catalysed by technological developments. High-throughput experiments - microarrays and next-generation sequencing - have generated large amounts of genome-wide gene expression data that are collected in public archives. Added-value databases process, analyse and annotate these data further to make them accessible to every biologist. In this Review, we discuss the utility of the gene expression data that are in the public domain and how researchers are making use of these data. Reuse of public data can be very powerful, but there are many obstacles in data preparation and analysis and in the interpretation of the results. We will discuss these challenges and provide recommendations that we believe can improve the utility of such data.

Mesh:

Year:  2012        PMID: 23269463     DOI: 10.1038/nrg3394

Source DB:  PubMed          Journal:  Nat Rev Genet        ISSN: 1471-0056            Impact factor:   53.242


  99 in total

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Journal:  Plant Cell Environ       Date:  2010-11-12       Impact factor: 7.228

2.  Large scale comparison of global gene expression patterns in human and mouse.

Authors:  Xiangqun Zheng-Bradley; Johan Rung; Helen Parkinson; Alvis Brazma
Journal:  Genome Biol       Date:  2010-12-23       Impact factor: 13.583

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Journal:  BMC Genomics       Date:  2011-05-20       Impact factor: 3.969

4.  Microarray meta-analysis database (M(2)DB): a uniformly pre-processed, quality controlled, and manually curated human clinical microarray database.

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Journal:  BMC Bioinformatics       Date:  2010-08-10       Impact factor: 3.169

Review 5.  RNA-Seq: a revolutionary tool for transcriptomics.

Authors:  Zhong Wang; Mark Gerstein; Michael Snyder
Journal:  Nat Rev Genet       Date:  2009-01       Impact factor: 53.242

6.  Towards establishment of a rice stress response interactome.

Authors:  Young-Su Seo; Mawsheng Chern; Laura E Bartley; Muho Han; Ki-Hong Jung; Insuk Lee; Harkamal Walia; Todd Richter; Xia Xu; Peijian Cao; Wei Bai; Rajeshwari Ramanan; Fawn Amonpant; Loganathan Arul; Patrick E Canlas; Randy Ruan; Chang-Jin Park; Xuewei Chen; Sohyun Hwang; Jong-Seong Jeon; Pamela C Ronald
Journal:  PLoS Genet       Date:  2011-04-14       Impact factor: 5.917

7.  The GUDMAP database--an online resource for genitourinary research.

Authors:  Simon D Harding; Chris Armit; Jane Armstrong; Jane Brennan; Ying Cheng; Bernard Haggarty; Derek Houghton; Sue Lloyd-MacGilp; Xingjun Pi; Yogmatee Roochun; Mehran Sharghi; Christopher Tindal; Andrew P McMahon; Brian Gottesman; Melissa H Little; Kylie Georgas; Bruce J Aronow; S Steven Potter; Eric W Brunskill; E Michelle Southard-Smith; Cathy Mendelsohn; Richard A Baldock; Jamie A Davies; Duncan Davidson
Journal:  Development       Date:  2011-07       Impact factor: 6.868

8.  Reactive oxygen species and transcript analysis upon excess light treatment in wild-type Arabidopsis thaliana vs a photosensitive mutant lacking zeaxanthin and lutein.

Authors:  Alessandro Alboresi; Luca Dall'osto; Alessio Aprile; Petronia Carillo; Enrica Roncaglia; Luigi Cattivelli; Roberto Bassi
Journal:  BMC Plant Biol       Date:  2011-04-11       Impact factor: 4.215

9.  Robust rank aggregation for gene list integration and meta-analysis.

Authors:  Raivo Kolde; Sven Laur; Priit Adler; Jaak Vilo
Journal:  Bioinformatics       Date:  2012-01-12       Impact factor: 6.937

10.  The discovery of putative urine markers for the specific detection of prostate tumor by integrative mining of public genomic profiles.

Authors:  Min Chen; Kai Wang; Liang Zhang; Cheng Li; Yongliang Yang
Journal:  PLoS One       Date:  2011-12-16       Impact factor: 3.240

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  155 in total

1.  COXPRESdb in 2015: coexpression database for animal species by DNA-microarray and RNAseq-based expression data with multiple quality assessment systems.

Authors:  Yasunobu Okamura; Yuichi Aoki; Takeshi Obayashi; Shu Tadaka; Satoshi Ito; Takafumi Narise; Kengo Kinoshita
Journal:  Nucleic Acids Res       Date:  2014-11-11       Impact factor: 16.971

2.  Identification of conserved drought-adaptive genes using a cross-species meta-analysis approach.

Authors:  Lidor Shaar-Moshe; Sariel Hübner; Zvi Peleg
Journal:  BMC Plant Biol       Date:  2015-05-03       Impact factor: 4.215

3.  Analysis of discordant Affymetrix probesets casts serious doubt on idea of microarray data reutilization.

Authors:  Andrey Marakhonov; Nataliya Sadovskaya; Ivan Antonov; Ancha Baranova; Mikhail Skoblov
Journal:  BMC Genomics       Date:  2014-12-19       Impact factor: 3.969

4.  Updating RNA-Seq analyses after re-annotation.

Authors:  Adam Roberts; Lorian Schaeffer; Lior Pachter
Journal:  Bioinformatics       Date:  2013-05-14       Impact factor: 6.937

5.  The devil in the details of RNA-seq.

Authors:  Anton Kratz; Piero Carninci
Journal:  Nat Biotechnol       Date:  2014-09       Impact factor: 54.908

6.  A flexible, interpretable, and accurate approach for imputing the expression of unmeasured genes.

Authors:  Christopher A Mancuso; Jacob L Canfield; Deepak Singla; Arjun Krishnan
Journal:  Nucleic Acids Res       Date:  2020-12-02       Impact factor: 16.971

7.  Reuse of public, genome-wide, murine eosinophil expression data for hypotheses development.

Authors:  Jillian O Grace; Astha Malik; Hadar Reichman; Ariel Munitz; Artem Barski; Patricia C Fulkerson
Journal:  J Leukoc Biol       Date:  2018-05-14       Impact factor: 4.962

8.  CONNJUR R: an annotation strategy for fostering reproducibility in bio-NMR-protein spectral assignment.

Authors:  Matthew Fenwick; Jeffrey C Hoch; Eldon Ulrich; Michael R Gryk
Journal:  J Biomol NMR       Date:  2015-08-08       Impact factor: 2.835

9.  Machine learning approaches distinguish multiple stress conditions using stress-responsive genes and identify candidate genes for broad resistance in rice.

Authors:  Rafi Shaik; Wusirika Ramakrishna
Journal:  Plant Physiol       Date:  2013-11-14       Impact factor: 8.340

10.  RNA-seq of Arabidopsis pollen uncovers novel transcription and alternative splicing.

Authors:  Ann E Loraine; Sheila McCormick; April Estrada; Ketan Patel; Peng Qin
Journal:  Plant Physiol       Date:  2013-04-16       Impact factor: 8.340

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