Transcriptional Regulatory Network Analysis to Reveal the Key Genes Involved in Skeletal Muscle Injury

2019 ◽  
Vol 26 (10) ◽  
pp. 1090-1099
Author(s):  
Qi Li ◽  
Zhengqiang Luo
Keyword(s):  
Skeletal Muscle ◽  
Network Analysis ◽  
Regulatory Network ◽  
Muscle Injury ◽  
Transcriptional Regulatory Network ◽  
Skeletal Muscle Injury ◽  
Transcriptional Regulatory ◽  
Key Genes

Transcriptional regulatory network analysis of developing human erythroid progenitors reveals patterns of coregulation and potential transcriptional regulators

2006 ◽  
Vol 28 (1) ◽  
pp. 114-128 ◽  
Author(s):  
M. A. Keller ◽  
S. Addya ◽  
R. Vadigepalli ◽  
B. Banini ◽  
K. Delgrosso ◽  
...  
Keyword(s):  
Network Analysis ◽  
Blood Cell ◽  
Regulatory Network ◽  
Target Genes ◽  
Transcriptional Regulatory Network ◽  
Expression Patterns ◽  
Transcriptional Regulators ◽  
Erythroid Progenitors ◽  
Hematopoietic Stem ◽  
Transcriptional Regulatory

Deciphering the molecular basis for human erythropoiesis should yield information benefiting studies of the hemoglobinopathies and other erythroid disorders. We used an in vitro erythroid differentiation system to study the developing red blood cell transcriptome derived from adult CD34+ hematopoietic progenitor cells. mRNA expression profiling was used to characterize developing erythroid cells at six time points during differentiation ( days 1, 3, 5, 7, 9, and 11). Eleven thousand seven hundred sixty-three genes (20,963 Affymetrix probe sets) were expressed on day 1, and 1,504 genes, represented by 1,953 probe sets, were differentially expressed (DE) with 537 upregulated and 969 downregulated. A subset of the DE genes was validated using real-time RT-PCR. The DE probe sets were subjected to a cluster metric and could be divided into two, three, four, five, or six clusters of genes with different expression patterns in each cluster. Genes in these clusters were examined for shared transcription factor binding sites (TFBS) in their promoters by comparing enrichment of each TFBS relative to a reference set using transcriptional regulatory network analysis. The sets of TFBS enriched in genes up- and downregulated during erythropoiesis were distinct. This analysis identified transcriptional regulators critical to erythroid development, factors recently found to play a role, as well as a new list of potential candidates, including Evi-1, a potential silencer of genes upregulated during erythropoiesis. Thus this transcriptional regulatory network analysis has yielded a focused set of factors and their target genes whose role in differentiation of the hematopoietic stem cell into distinct blood cell lineages can be elucidated.

Transcriptional regulatory network analysis of the over-expressed genes in adipose tissue

2013 ◽  
Vol 36 (1) ◽  
pp. 105-117 ◽  
Author(s):  
Mohammad Reza Bakhtiarizadeh ◽  
Mohammad Moradi-Shahrbabak ◽  
Esmaeil Ebrahimie
Keyword(s):  
Adipose Tissue ◽  
Network Analysis ◽  
Regulatory Network ◽  
Transcriptional Regulatory Network ◽  
Transcriptional Regulatory

scholarly journals Stem Cells for the Treatment of Skeletal Muscle Injury

2009 ◽  
Vol 28 (1) ◽  
pp. 1-11 ◽  
Author(s):  
Andres J. Quintero ◽  
Vonda J. Wright ◽  
Freddie H. Fu ◽  
Johnny Huard
Keyword(s):  
Skeletal Muscle ◽  
Stem Cells ◽  
Muscle Injury ◽  
Skeletal Muscle Injury
Sign in / Sign up

Export Citation Format

Share Document