Literature DB >> 15095334

Transcriptome of mouse uterus by serial analysis of gene expression (SAGE): comparison with skeletal muscle.

M Larose1, J St-Amand, M Yoshioka, P Belleau, J Morissette, C Labrie, V Raymond, F Labrie.   

Abstract

The aim of this study was to identify the transcriptome of the normal mouse uterus by Serial Analysis of Gene Expression method. mRNA was extracted from the uterus and also from the gastrocnemius muscle of mice. Short sequences (tags), each one usually corresponding to a distinct transcript, were isolated and concatemerized into long DNA molecules which were cloned and sequenced. We detected 44,484 tags for the uterus and 42,518 tags for the muscle, representing 14,543 and 14,958 potential transcript species, respectively. Seventy-five and sixty-nine genes were expressed at more than 0.1%, thus corresponding to 37 and 34% of the mRNA population detected in the respective tissues. In both cases, the most highly expressed genes are especially involved in muscle contraction, energy metabolism, and protein synthesis. Compared to skeletal muscle, some differentially expressed genes in the uterus are likely to correspond to its specific reproductive functions. The majority of these genes remain to be characterized. More than 70% of the different tags detected in the uterus did not match any sequence in the public databases and can represent novel or poorly identified genes. This study is the first quantitative description of the transcriptome of the uterus. Copyright 2004 Wiley-Liss, Inc.

Entities:  

Mesh:

Substances:

Year:  2004        PMID: 15095334     DOI: 10.1002/mrd.20065

Source DB:  PubMed          Journal:  Mol Reprod Dev        ISSN: 1040-452X            Impact factor:   2.609


  4 in total

1.  Characterization of the global profile of genes expressed in cervical epithelium by Serial Analysis of Gene Expression (SAGE).

Authors:  Carlos Pérez-Plasencia; Gregory Riggins; Guelaguetza Vázquez-Ortiz; José Moreno; Hugo Arreola; Alfredo Hidalgo; Patricia Piña-Sanchez; Mauricio Salcedo
Journal:  BMC Genomics       Date:  2005-09-19       Impact factor: 3.969

2.  Reproducibility, bioinformatic analysis and power of the SAGE method to evaluate changes in transcriptome.

Authors:  S Dinel; C Bolduc; P Belleau; A Boivin; M Yoshioka; E Calvo; B Piedboeuf; E E Snyder; F Labrie; J St-Amand
Journal:  Nucleic Acids Res       Date:  2005-02-16       Impact factor: 16.971

3.  Housekeeping and tissue-specific genes in mouse tissues.

Authors:  Kouame E Kouadjo; Yuichiro Nishida; Jean F Cadrin-Girard; Mayumi Yoshioka; Jonny St-Amand
Journal:  BMC Genomics       Date:  2007-05-22       Impact factor: 3.969

Review 4.  Exercise and High-Fat Diet in Obesity: Functional Genomics Perspectives of Two Energy Homeostasis Pillars.

Authors:  Abdelaziz Ghanemi; Aicha Melouane; Mayumi Yoshioka; Jonny St-Amand
Journal:  Genes (Basel)       Date:  2020-07-31       Impact factor: 4.096

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.