Literature DB >> 20028690

GonadSAGE: a comprehensive SAGE database for transcript discovery on male embryonic gonad development.

Tin-Lap Lee1, Yunmin Li, Hoi-Hung Cheung, Janek Claus, Sumeeta Singh, Chandan Sastry, Owen M Rennert, Yun-Fai Chris Lau, Wai-Yee Chan.   

Abstract

SUMMARY: Serial analysis of gene expression (SAGE) provides an alternative, with additional advantages, to microarray gene expression studies. GonadSAGE is the first publicly available web-based SAGE database on male gonad development that covers six male mouse embryonic gonad stages, including E10.5, E11.5, E12.5, E13.5, E15.5 and E17.5. The sequence coverage of each SAGE library is beyond 150K, 'which is the most extensive sequence-based male gonadal transcriptome to date'. An interactive web interface with customizable parameters is provided for analyzing male gonad transcriptome information. Furthermore, the data can be visualized and analyzed with the other genomic features in the UCSC genome browser. It represents an integrated platform that leads to a better understanding of male gonad development, and allows discovery of related novel targets and regulatory pathways.

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Year:  2009        PMID: 20028690      PMCID: PMC2852216          DOI: 10.1093/bioinformatics/btp695

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  9 in total

1.  SAGEmap: a public gene expression resource.

Authors:  A E Lash; C M Tolstoshev; L Wagner; G D Schuler; R L Strausberg; G J Riggins; S F Altschul
Journal:  Genome Res       Date:  2000-07       Impact factor: 9.043

2.  Analysis of mouse germ-cell transcriptome at different stages of spermatogenesis by SAGE: biological significance.

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Journal:  Genomics       Date:  2004-12       Impact factor: 5.736

3.  Application of transcriptional and biological network analyses in mouse germ-cell transcriptomes.

Authors:  Tin Lap Lee; Diana Alba; Vanessa Baxendale; Owen M Rennert; Wai-Yee Chan
Journal:  Genomics       Date:  2006-05-04       Impact factor: 5.736

4.  Transcriptome analyses of male germ cells with serial analysis of gene expression (SAGE).

Authors:  Wai-Yee Chan; Tin-Lap Lee; Shao-Ming Wu; Lisa Ruszczyk; Diana Alba; Vanessa Baxendale; Owen M Rennert
Journal:  Mol Cell Endocrinol       Date:  2006-01-18       Impact factor: 4.102

5.  The complexity of antisense transcription revealed by the study of developing male germ cells.

Authors:  Wai-Yee Chan; Shao-Ming Wu; Lisa Ruszczyk; Evelyn Law; Tin-Lap Lee; Vanessa Baxendale; Alan Lap-Yin Pang; Owen M Rennert
Journal:  Genomics       Date:  2006-02-03       Impact factor: 5.736

6.  A framework for collaborative analysis of ENCODE data: making large-scale analyses biologist-friendly.

Authors:  Daniel Blankenberg; James Taylor; Ian Schenck; Jianbin He; Yi Zhang; Matthew Ghent; Narayanan Veeraraghavan; Istvan Albert; Webb Miller; Kateryna D Makova; Ross C Hardison; Anton Nekrutenko
Journal:  Genome Res       Date:  2007-06       Impact factor: 9.043

7.  Developmental staging of male murine embryonic gonad by SAGE analysis.

Authors:  Tin-Lap Lee; Yunmin Li; Diana Alba; Queenie P Vong; Shao-Ming Wu; Vanessa Baxendale; Owen M Rennert; Yun-Fai Chris Lau; Wai-Yee Chan
Journal:  J Genet Genomics       Date:  2009-04       Impact factor: 4.275

8.  GermSAGE: a comprehensive SAGE database for transcript discovery on male germ cell development.

Authors:  Tin-Lap Lee; Hoi-Hung Cheung; Janek Claus; Chandan Sastry; Sumeeta Singh; Loc Vu; Owen Rennert; Wai-Yee Chan
Journal:  Nucleic Acids Res       Date:  2008-10-02       Impact factor: 16.971

9.  The UCSC Genome Browser Database: update 2009.

Authors:  R M Kuhn; D Karolchik; A S Zweig; T Wang; K E Smith; K R Rosenbloom; B Rhead; B J Raney; A Pohl; M Pheasant; L Meyer; F Hsu; A S Hinrichs; R A Harte; B Giardine; P Fujita; M Diekhans; T Dreszer; H Clawson; G P Barber; D Haussler; W J Kent
Journal:  Nucleic Acids Res       Date:  2008-11-07       Impact factor: 16.971

  9 in total
  14 in total

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Journal:  Methods Mol Biol       Date:  2012

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6.  Hi-C deconvolution of a textile dye-related microbiome reveals novel taxonomic landscapes and links phenotypic potential to individual genomes.

Authors:  Ayixon Sánchez-Reyes; Luz Bretón-Deval; Hayley Mangelson; Ilse Salinas-Peralta; Alejandro Sanchez-Flores
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7.  Characterization of gonadal transcriptomes from Nile tilapia (Oreochromis niloticus) reveals differentially expressed genes.

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8.  GermlncRNA: a unique catalogue of long non-coding RNAs and associated regulations in male germ cell development.

Authors:  Alfred Chun-Shui Luk; Huayan Gao; Sizhe Xiao; Jinyue Liao; Daxi Wang; Jiajie Tu; Owen M Rennert; Wai-Yee Chan; Tin-Lap Lee
Journal:  Database (Oxford)       Date:  2015-05-17       Impact factor: 3.451

9.  The ReproGenomics Viewer: an integrative cross-species toolbox for the reproductive science community.

Authors:  Thomas A Darde; Olivier Sallou; Emmanuelle Becker; Bertrand Evrard; Cyril Monjeaud; Yvan Le Bras; Bernard Jégou; Olivier Collin; Antoine D Rolland; Frédéric Chalmel
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10.  Epigenomic, genomic, and transcriptomic landscape of schwannomatosis.

Authors:  Sheila Mansouri; Suganth Suppiah; Yasin Mamatjan; Irene Paganini; Jeffrey C Liu; Shirin Karimi; Vikas Patil; Farshad Nassiri; Olivia Singh; Yogi Sundaravadanam; Prisni Rath; Roberta Sestini; Francesca Gensini; Sameer Agnihotri; Jaishri Blakeley; Kimberly Ostrow; David Largaespada; Scott R Plotkin; Anat Stemmer-Rachamimov; Marcela Maria Ferrer; Trevor J Pugh; Kenneth D Aldape; Laura Papi; Gelareh Zadeh
Journal:  Acta Neuropathol       Date:  2020-10-06       Impact factor: 17.088

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