scholarly journals Genome‐wide chromatin occupancy of BRDT and gene expression analysis suggest transcriptional partners and specific epigenetic landscapes that regulate gene expression during spermatogenesis

2021 ◽  
Author(s):  
Yoon Ra Her ◽  
Li Wang ◽  
Iouri Chepelev ◽  
Marcia Manterola ◽  
Binyamin Berkovits ◽  
...  
Keyword(s):  
Gene Expression ◽  
Expression Analysis ◽  
Gene Expression Analysis ◽  
Regulate Gene Expression ◽  
Genome Wide ◽  
Regulate Gene

scholarly journals Genome-wide gene expression analysis in the placenta from fetus with trisomy 21

BMC Genomics ◽  
2017 ◽  
Vol 18 (1) ◽  
Author(s):  
Ji Hyae Lim ◽  
You Jung Han ◽  
Hyun Jin Kim ◽  
Dong Wook Kwak ◽  
So Yeon Park ◽  
...  
Keyword(s):  
Gene Expression ◽  
Expression Analysis ◽  
Trisomy 21 ◽  
Gene Expression Analysis ◽  
Genome Wide ◽  
Genome Wide Gene Expression

scholarly journals The Interplay between Transcriptional Factors and MicroRNAs as an Important Factor for Th17/Treg Balance in RA Patients

2020 ◽  
Vol 21 (19) ◽  
pp. 7169 ◽  
Author(s):  
Tomasz Kmiołek ◽  
Ewa Rzeszotarska ◽  
Anna Wajda ◽  
Ewa Walczuk ◽  
Ewa Kuca-Warnawin ◽  
...  
Keyword(s):  
Gene Expression ◽  
Th17 Cells ◽  
Gene Expression Analysis ◽  
Expression Profiles ◽  
Treg Cells ◽  
Transcriptional Factors ◽  
Healthy Controls ◽  
Regulate Gene Expression ◽  
Potential Impact ◽  
Regulate Gene

MicroRNAs regulate gene expression of transcriptional factors, which influence Th17/Treg (regulatory T cells) balance, establishing the molecular mechanism of genetic and epigenetic regulation of Treg and Th17 cells is crucial for understanding rheumatoid arthritis (RA) pathogenesis. The study goal was to understand the potential impact of the selected microRNAs expression profiles on Treg/Th17 cells frequency, RA phenotype, the expression profile of selected microRNAs, and their correlation with the expression profiles of selected transcriptional factors: SOCS1, SMAD3, SMAD4, STAT3, STAT5 in RA; we used osteoarthritis (OA) and healthy controls (HCs) as controls. The study was conducted on 14 RA and 11 OA patients, and 15 HCs. Treg/Th17 frequency was established by flow cytometry. Gene expression analysis was estimated by qPCR. We noticed correlations in RA Th17 cells between miR-26 and SMAD3, STAT3, SOCS1; and miR-155 and STAT3—and in RA Treg cells between miR-26 and SOCS1; miR-31, -155 and SMAD3; and miR-155 and SMAD4. In RA Tregs, we found a negative correlation between miR-26, -126 and STAT5a. The expression level of miR-31 in Th17 cells from RA patients with DAS28 ≤ 5.1 is higher and that for miR-24 is greater in Tregs from patients with DAS28 > 5.1. MiR-146a in Tregs is higher in rheumatoid factor (RF) positive RA patients.

Assessing the Impact of Tissue Devitalization Time on Genome-wide Gene Expression Analysis in Ovarian Tumor Samples

2008 ◽  
Vol 17 (4) ◽  
pp. 200-206 ◽  
Author(s):  
Catherine I. Dumur ◽  
Sherjeel Sana ◽  
Amy C. Ladd ◽  
Andrea Ferreira-Gonzalez ◽  
David S. Wilkinson ◽  
...  
Keyword(s):  
Gene Expression ◽  
Expression Analysis ◽  
Ovarian Tumor ◽  
Gene Expression Analysis ◽  
Genome Wide ◽  
The Impact ◽  
Genome Wide Gene Expression

scholarly journals Genome-Wide Gene Expression Analysis Reveals a Critical Role for CRYPTOCHROME1 in the Response of Arabidopsis to High Irradiance

2007 ◽  
Vol 144 (3) ◽  
pp. 1391-1406 ◽  
Author(s):  
Tatjana Kleine ◽  
Peter Kindgren ◽  
Catherine Benedict ◽  
Luke Hendrickson ◽  
Åsa Strand
Keyword(s):  
Gene Expression ◽  
Expression Analysis ◽  
Gene Expression Analysis ◽  
Critical Role ◽  
High Irradiance ◽  
Genome Wide ◽  
Genome Wide Gene Expression
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