TY - JOUR
T1 - Integrative mRNA-microRNA analyses reveal novel interactions related to insulin sensitivity in human adipose tissue
AU - Kirby, Tyler J
AU - Walton, R Grace
AU - Finlin, Brian
AU - Zhu, Beibei
AU - Unal, Resat
AU - Rasouli, Neda
AU - Peterson, Charlotte A
AU - Kern, Philip A
N1 - * - contributed equally
PY - 2016/2
Y1 - 2016/2
N2 - Adipose tissue has profound effects on whole-body insulin sensitivity. However, the underlying biological processes are quite complex and likely multifactorial. For instance, the adipose transcriptome is posttranscriptionally modulated by microRNAs, but the relationship between microRNAs and insulin sensitivity in humans remains to be determined. To this end, we utilized an integrative mRNA-microRNA microarray approach to identify putative molecular interactions that regulate the transcriptome in subcutaneous adipose tissue of insulin-sensitive (IS) and insulin-resistant (IR) individuals. Using the NanoString nCounter Human v1 microRNA Expression Assay, we show that 17 microRNAs are differentially expressed in IR vs. IS. Of these, 16 microRNAs (94%) are downregulated in IR vs. IS, including miR-26b, miR-30b, and miR-145. Using Agilent Human Whole Genome arrays, we identified genes that were predicted targets of miR-26b, miR-30b, and miR-145 and were upregulated in IR subjects. This analysis produced ADAM22, MYO5A, LOX, and GM2A as predicted gene targets of these microRNAs. We then validated that miR-145 and miR-30b regulate these mRNAs in differentiated human adipose stem cells. We suggest that use of bioinformatic integration of mRNA and microRNA arrays yields verifiable mRNA-microRNA pairs that are associated with insulin resistance and can be validated in vitro.
AB - Adipose tissue has profound effects on whole-body insulin sensitivity. However, the underlying biological processes are quite complex and likely multifactorial. For instance, the adipose transcriptome is posttranscriptionally modulated by microRNAs, but the relationship between microRNAs and insulin sensitivity in humans remains to be determined. To this end, we utilized an integrative mRNA-microRNA microarray approach to identify putative molecular interactions that regulate the transcriptome in subcutaneous adipose tissue of insulin-sensitive (IS) and insulin-resistant (IR) individuals. Using the NanoString nCounter Human v1 microRNA Expression Assay, we show that 17 microRNAs are differentially expressed in IR vs. IS. Of these, 16 microRNAs (94%) are downregulated in IR vs. IS, including miR-26b, miR-30b, and miR-145. Using Agilent Human Whole Genome arrays, we identified genes that were predicted targets of miR-26b, miR-30b, and miR-145 and were upregulated in IR subjects. This analysis produced ADAM22, MYO5A, LOX, and GM2A as predicted gene targets of these microRNAs. We then validated that miR-145 and miR-30b regulate these mRNAs in differentiated human adipose stem cells. We suggest that use of bioinformatic integration of mRNA and microRNA arrays yields verifiable mRNA-microRNA pairs that are associated with insulin resistance and can be validated in vitro.
KW - ADAM Proteins/metabolism
KW - Adipose Tissue/metabolism
KW - Cluster Analysis
KW - G(M2) Activator Protein/metabolism
KW - Gene Expression Profiling
KW - Gene Expression Regulation
KW - Genome, Human
KW - Humans
KW - Insulin/metabolism
KW - Insulin Resistance
KW - MicroRNAs/metabolism
KW - Myosin Heavy Chains/metabolism
KW - Myosin Type V/metabolism
KW - Nerve Tissue Proteins/metabolism
KW - Oligonucleotide Array Sequence Analysis
KW - RNA, Messenger/metabolism
KW - Scavenger Receptors, Class E/metabolism
U2 - 10.1152/physiolgenomics.00071.2015
DO - 10.1152/physiolgenomics.00071.2015
M3 - Article
C2 - 26672043
VL - 48
SP - 145
EP - 153
JO - Physiological Genomics
JF - Physiological Genomics
SN - 1094-8341
IS - 2
ER -