Literature DB >> 19763498

Gene expression profiling in the aging ovary.

Kathleen M Eyster1, John D Brannian.   

Abstract

DNA microarray is an important discovery technology that allows the analysis of the expression of thousands of genes at a time. Data from DNA microarrays elucidate fundamental biological processes through discovery of differential expression of genes not previously known or predicted to be involved in a particular process. In the ovary and other hormone-responsive tissues, the technology can be used to examine the effects of gene mutations, pharmaceutical agents, disease, hormones, developmental changes, or changes in gene expression related to aging.

Entities:  

Mesh：

Year:  2009        PMID： 19763498      PMCID： PMC4372263          DOI： 10.1007/978-1-60327-378-7_5

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN： 1064-3745


  12 in total

1.  Minimum information about a microarray experiment (MIAME)-toward standards for microarray data.

Authors:  A Brazma; P Hingamp; J Quackenbush; G Sherlock; P Spellman; C Stoeckert; J Aach; W Ansorge; C A Ball; H C Causton; T Gaasterland; P Glenisson; F C Holstege; I F Kim; V Markowitz; J C Matese; H Parkinson; A Robinson; U Sarkans; S Schulze-Kremer; J Stewart; R Taylor; J Vilo; M Vingron
Journal:  Nat Genet       Date:  2001-12       Impact factor: 38.330

2.  A method for the extraction of high-quality RNA and protein from single small samples of arteries and veins preserved in RNAlater.

Authors:  Manoj C Rodrigo; Douglas S Martin; Rebecca A Redetzke; Kathleen M Eyster
Journal:  J Pharmacol Toxicol Methods       Date:  2002 Mar-Apr       Impact factor: 1.950

3.  Optimization of fragmentation conditions for microarray analysis of viral RNA.

Authors:  Martin Mehlmann; Michael B Townsend; Robin L Stears; Robert D Kuchta; Kathy L Rowlen
Journal:  Anal Biochem       Date:  2005-10-17       Impact factor: 3.365

4.  Effects of reciprocal ovary transplantation on reproductive performance of lethal yellow mice (Ay/a; C57BL/6J).

Authors:  N H Granholm; G A Dickens
Journal:  J Reprod Fertil       Date:  1986-11

5.  Declining fertility in the lethal yellow mouse is related to progressive hyperleptinemia and leptin resistance.

Authors:  John D Brannian; Gina M Furman; Maureen Diggins
Journal:  Reprod Nutr Dev       Date:  2005 Mar-Apr

6.  Ectopic expression of the agouti gene in transgenic mice causes obesity, features of type II diabetes, and yellow fur.

Authors:  M L Klebig; J E Wilkinson; J G Geisler; R P Woychik
Journal:  Proc Natl Acad Sci U S A       Date:  1995-05-23       Impact factor: 11.205

7.  Whole genome deoxyribonucleic acid microarray analysis of gene expression in ectopic versus eutopic endometrium.

Authors:  Kathleen M Eyster; Olga Klinkova; Vanessa Kennedy; Keith A Hansen
Journal:  Fertil Steril       Date:  2007-04-26       Impact factor: 7.329

8.  Identification and characterization of Mlr1,2: two mouse homologues of Mblk-1, a transcription factor from the honeybee brain(1).

Authors:  Takekazu Kunieda; Jung-Min Park; Hideaki Takeuchi; Takeo Kubo
Journal:  FEBS Lett       Date:  2003-01-30       Impact factor: 4.124

9.  Pioglitazone administration alters ovarian gene expression in aging obese lethal yellow mice.

Authors:  John D Brannian; Kathleen M Eyster; Mitch Weber; Maureen Diggins
Journal:  Reprod Biol Endocrinol       Date:  2008-03-18       Impact factor: 5.211

10.  Performance evaluation of commercial short-oligonucleotide microarrays and the impact of noise in making cross-platform correlations.

Authors:  Richard Shippy; Timothy J Sendera; Randall Lockner; Chockalingam Palaniappan; Tamma Kaysser-Kranich; George Watts; John Alsobrook
Journal:  BMC Genomics       Date:  2004-09-02       Impact factor: 3.969
View more
  5 in total

1.  Mifepristone increases mRNA translation rate, triggers the unfolded protein response, increases autophagic flux, and kills ovarian cancer cells in combination with proteasome or lysosome inhibitors.

Authors:  Lei Zhang; Maria B Hapon; Alicia A Goyeneche; Rekha Srinivasan; Carlos D Gamarra-Luques; Eduardo A Callegari; Donis D Drappeau; Erin J Terpstra; Bo Pan; Jennifer R Knapp; Jeremy Chien; Xuejun Wang; Kathleen M Eyster; Carlos M Telleria
Journal:  Mol Oncol       Date:  2016-05-17       Impact factor: 6.603

2.  Gene expression signatures differ with extent of atherosclerosis in monkey iliac artery.

Authors:  Kathleen M Eyster; Susan E Appt; Connie J Mark-Kappeler; Abha Chalpe; Thomas C Register; Thomas B Clarkson
Journal:  Menopause       Date:  2011-10       Impact factor: 2.953

3.  Effects of equol on gene expression in female cynomolgus monkey iliac arteries.

Authors:  K Eyster; S Appt; A Chalpe; T Register; T Clarkson
Journal:  Nutr Metab Cardiovasc Dis       Date:  2013-11-01       Impact factor: 4.222

4.  A comprehensive transcriptomic analysis of infant and adult mouse ovary.

Authors:  Linlin Pan; Wei Gong; Yuanyuan Zhou; Xiaonuan Li; Jun Yu; Songnian Hu
Journal:  Genomics Proteomics Bioinformatics       Date:  2014-09-20       Impact factor: 7.691

5.  The relationship between the mTOR signaling pathway and ovarian aging in peak-phase and late-phase laying hens.

Authors:  Er-Ying Hao; De-He Wang; Yi-Fan Chen; Rong-Yan Zhou; Hui Chen; Ren-Lu Huang
Journal:  Poult Sci       Date:  2020-10-12       Impact factor: 3.352
  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.