Literature DB >> 19376482

Developmental staging of male murine embryonic gonad by SAGE analysis.

Tin-Lap Lee1, Yunmin Li, Diana Alba, Queenie P Vong, Shao-Ming Wu, Vanessa Baxendale, Owen M Rennert, Yun-Fai Chris Lau, Wai-Yee Chan.   

Abstract

Despite the identification of key genes such as Sry integral to embryonic gonadal development, the genomic classification and identification of chromosomal activation of this process is still poorly understood. To better understand the genetic regulation of gonadal development, we performed Serial Analysis of Gene Expression (SAGE) to profile the genes and novel transcripts, and an average of 152,000 tags from male embryonic gonads at E10.5 (embryonic day 10.5), E11.5, E12.5, E13.5, E15.5 and E17.5 were analyzed. A total of 275,583 non-singleton tags that do not map to any annotated sequence were identified in the six gonad libraries, and 47,255 tags were mapped to 24,975 annotated sequences, among which 987 sequences were uncharacterized. Utilizing an unsupervised pattern identification technique, we established molecular staging of male gonadal development. Rather than providing a static descriptive analysis, we developed algorithms to cluster the SAGE data and assign SAGE tags to a corresponding chromosomal position; these data are displayed in chromosome graphic format. A prominent increase in global genomic activity from E10.5 to E17.5 was observed. Important chromosomal regions related to the developmental processes were identified and validated based on established mouse models with developmental disorders. These regions may represent markers for early diagnosis for disorders of male gonad development as well as potential treatment targets.

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Year:  2009        PMID: 19376482      PMCID: PMC3314242          DOI: 10.1016/S1673-8527(08)60109-5

Source DB:  PubMed          Journal:  J Genet Genomics        ISSN: 1673-8527            Impact factor:   4.275


  50 in total

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Journal:  Bioinformatics       Date:  2003-08-12       Impact factor: 6.937

2.  Using real time RT-PCR analysis to determine multiple gene expression patterns during XX and XY mouse fetal gonad development.

Authors:  Gerrit J Bouma; Geoffrey T Hart; Linda L Washburn; Andrew K Recknagel; Eva M Eicher
Journal:  Gene Expr Patterns       Date:  2004-11       Impact factor: 1.224

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.  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

Review 5.  Genetic programs that regulate testicular and ovarian development.

Authors:  Christopher R Cederroth; Jean-Luc Pitetti; Marilena D Papaioannou; Serge Nef
Journal:  Mol Cell Endocrinol       Date:  2007-01-08       Impact factor: 4.102

6.  Identifying nonspecific SAGE tags by context of gene expression.

Authors:  Xijin Ge; San Ming Wang
Journal:  Methods Mol Biol       Date:  2008

7.  A subtractive gene expression screen suggests a role for vanin-1 in testis development in mice.

Authors:  J Bowles; M Bullejos; P Koopman
Journal:  Genesis       Date:  2000-07       Impact factor: 2.487

8.  Identifying biological themes within lists of genes with EASE.

Authors:  Douglas A Hosack; Glynn Dennis; Brad T Sherman; H Clifford Lane; Richard A Lempicki
Journal:  Genome Biol       Date:  2003-09-11       Impact factor: 13.583

9.  Testatin: a cystatin-related gene expressed during early testis development.

Authors:  V Töhönen; C Osterlund; K Nordqvist
Journal:  Proc Natl Acad Sci U S A       Date:  1998-11-24       Impact factor: 11.205

10.  Clustering-based approaches to SAGE data mining.

Authors:  Haiying Wang; Huiru Zheng; Francisco Azuaje
Journal:  BioData Min       Date:  2008-07-17       Impact factor: 2.522

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  3 in total

1.  Identification of novel long noncoding RNA transcripts in male germ cells.

Authors:  Tin-Lap Lee; Amy Xiao; Owen M Rennert
Journal:  Methods Mol Biol       Date:  2012

2.  Revealing the transcriptome landscape of mouse spermatogonial cells by tiling microarray.

Authors:  Tin-Lap Lee; Owen M Rennert; Wai-Yee Chan
Journal:  Methods Mol Biol       Date:  2012

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

Authors:  Tin-Lap Lee; Yunmin Li; Hoi-Hung Cheung; Janek Claus; Sumeeta Singh; Chandan Sastry; Owen M Rennert; Yun-Fai Chris Lau; Wai-Yee Chan
Journal:  Bioinformatics       Date:  2009-12-21       Impact factor: 6.937

  3 in total

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