2013
DOI: 10.1152/physiolgenomics.00001.2013
|View full text |Cite
|
Sign up to set email alerts
|

RNA-sequencing analysis of high glucose-treated monocytes reveals novel transcriptome signatures and associated epigenetic profiles

Abstract: R. RNA-sequencing analysis of high glucose-treated monocytes reveals novel transcriptome signatures and associated epigenetic profiles. Physiol Genomics 45: 287-299, 2013. First published February 5, 2013 doi:10.1152/physiolgenomics.00001.2013.-We performed high throughput transcriptomic profiling with RNA sequencing (RNA-Seq) to uncover network responses in human THP-1 monocytes treated with high glucose (HG). Our data analyses revealed that interferon (IFN) signaling, pattern recognition receptors, and acti… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

1
24
3

Year Published

2013
2013
2022
2022

Publication Types

Select...
8
1

Relationship

1
8

Authors

Journals

citations
Cited by 29 publications
(28 citation statements)
references
References 56 publications
1
24
3
Order By: Relevance
“…Hence, we focused our analysis on identifying key pathways, biological processes and networks subject to fetal sex influences with the aim to explain reported differences in placental function and disparity in pregnancy outcome. This approach of using genomic variation, even more modest that here, and sets of functionally related genes to analyze regulated pathways and networks is not novel [32], [33]. The pathways we have identified are the overlapping results of different software packages used for gene ontology analysis, making our findings robust.…”
Section: Discussionmentioning
confidence: 77%
“…Hence, we focused our analysis on identifying key pathways, biological processes and networks subject to fetal sex influences with the aim to explain reported differences in placental function and disparity in pregnancy outcome. This approach of using genomic variation, even more modest that here, and sets of functionally related genes to analyze regulated pathways and networks is not novel [32], [33]. The pathways we have identified are the overlapping results of different software packages used for gene ontology analysis, making our findings robust.…”
Section: Discussionmentioning
confidence: 77%
“…TXNIP expression is highly induced by HG in various cell types (46)(47)(48), which by inhibiting thioredoxin, subsequently causes oxidative stress and apoptosis. Recently, TXNIP up-regulation in the diabetic kidney was reported to be associated with changes in certain histone PTMs (49).…”
Section: Resultsmentioning
confidence: 99%
“…Studies by Maio et al . identified genes differentially expressed in normal vs. high glucose in human THP-1 cells by RNA-seq [ 41 ], but did not report PRMT2 as a gene that was down regulated in high glucose. This could reflect differences in experimental design (acute high glucose stimulation in their study vs. chronic high glucose treatment in ours) or cell type (undifferentiated THP-1 monocytes vs. differentiated BMDMs).…”
Section: Discussionmentioning
confidence: 99%