Literature DB >> 16140476

List of lists-annotated (LOLA): a database for annotation and comparison of published microarray gene lists.

Patrick Cahan1, Amera M Ahmad, Harry Burke, Sidney Fu, Yinglei Lai, Liliana Florea, Nachiket Dharker, Todd Kobrinski, Prachee Kale, Timothy A McCaffrey.   

Abstract

Microarray profiling of RNA expression is a powerful tool that generates large lists of transcripts that are potentially relevant to a disease or treatment. However, because the lists of changed transcripts are embedded in figures and tables, they are typically inaccessible for search engines. Due to differences in gene nomenclatures, the lists are difficult to compare between studies. LOLA (Lists of Lists Annotated) is an internet-based database for comparing gene lists from microarray studies or other genomic-scale methods. It serves as a common platform to compare and reannotate heterogeneous gene lists from different microarray platforms or different genomic methodologies such as serial analysis of gene expression (SAGE) or proteomics. LOLA () provides researchers with a means to store, annotate, and compare gene lists produced from different studies or different analyses of the same study. It is especially useful in identifying potentially "high interest" genes which are reported as significant across multiple studies and species. Its application to the fields of stem cell, cancer, and aging research is demonstrated by comparing published papers.

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Year:  2005        PMID: 16140476     DOI: 10.1016/j.gene.2005.07.008

Source DB:  PubMed          Journal:  Gene        ISSN: 0378-1119            Impact factor:   3.688


  31 in total

1.  AraPath: a knowledgebase for pathway analysis in Arabidopsis.

Authors:  Liming Lai; Arthur Liberzon; Jason Hennessey; Gaixin Jiang; Jianli Qi; Jill P Mesirov; Steven X Ge
Journal:  Bioinformatics       Date:  2012-07-03       Impact factor: 6.937

2.  Specific and shared targets of ephrin A signaling in epidermal keratinocytes.

Authors:  Rebecca Walsh; Miroslav Blumenberg
Journal:  J Biol Chem       Date:  2010-12-30       Impact factor: 5.157

Review 3.  Meta-analysis of microarray results: challenges, opportunities, and recommendations for standardization.

Authors:  Patrick Cahan; Felicia Rovegno; Denise Mooney; John C Newman; Georges St Laurent; Timothy A McCaffrey
Journal:  Gene       Date:  2007-07-03       Impact factor: 3.688

Review 4.  Cross species analysis of microarray expression data.

Authors:  Yong Lu; Peter Huggins; Ziv Bar-Joseph
Journal:  Bioinformatics       Date:  2009-04-08       Impact factor: 6.937

5.  Aspirin insensitive thrombophilia: transcript profiling of blood identifies platelet abnormalities and HLA restriction.

Authors:  Payam Fallahi; Richard Katz; Ian Toma; Ranyang Li; Jonathan Reiner; Kiersten VanHouten; Larry Carpio; Lorraine Marshall; Yi Lian; Sujata Bupp; Sidney W Fu; Frederick Rickles; David Leitenberg; Yinglei Lai; Babette B Weksler; Frederik Rebling; Zhaoqing Yang; Timothy A McCaffrey
Journal:  Gene       Date:  2013-02-27       Impact factor: 3.688

6.  Cardiovascular inflammation and lesion cell apoptosis: a novel connection via the interferon-inducible immunoproteasome.

Authors:  Zhaoqing Yang; Dmitry Gagarin; Georges St Laurent; Neil Hammell; Ian Toma; Chien-An Hu; Ayaka Iwasa; Timothy A McCaffrey
Journal:  Arterioscler Thromb Vasc Biol       Date:  2009-05-14       Impact factor: 8.311

7.  Discovering causal signaling pathways through gene-expression patterns.

Authors:  Jignesh R Parikh; Bertram Klinger; Yu Xia; Jarrod A Marto; Nils Blüthgen
Journal:  Nucleic Acids Res       Date:  2010-05-21       Impact factor: 16.971

8.  Topological properties of co-occurrence networks in published gene expression signatures.

Authors:  Heiko Muller; Francesco Acquati
Journal:  Bioinform Biol Insights       Date:  2008-04-17

9.  GEM-TREND: a web tool for gene expression data mining toward relevant network discovery.

Authors:  Chunlai Feng; Michihiro Araki; Ryo Kunimoto; Akiko Tamon; Hiroki Makiguchi; Satoshi Niijima; Gozoh Tsujimoto; Yasushi Okuno
Journal:  BMC Genomics       Date:  2009-09-03       Impact factor: 3.969

10.  Quantitative comparison of microarray experiments with published leukemia related gene expression signatures.

Authors:  Hans-Ulrich Klein; Christian Ruckert; Alexander Kohlmann; Lars Bullinger; Christian Thiede; Torsten Haferlach; Martin Dugas
Journal:  BMC Bioinformatics       Date:  2009-12-15       Impact factor: 3.169

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