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. 2013 Apr 22;14(4):8611-24.
doi: 10.3390/ijms14048611.

MicroRNA transcriptomes relate intermuscular adipose tissue to metabolic risk

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MicroRNA transcriptomes relate intermuscular adipose tissue to metabolic risk

Jideng Ma et al. Int J Mol Sci. .

Abstract

Intermuscular adipose tissue is located between the muscle fiber bundles in skeletal muscles, and has similar metabolic features to visceral adipose tissue, which has been found to be related to a number of obesity-related diseases. Although various miRNAs are known to play crucial roles in adipose deposition and adipogenesis, the microRNA transcriptome of intermuscular adipose tissue has not, until now, been studied. Here, we sequenced the miRNA transcriptomes of porcine intermuscular adipose tissue by small RNA-sequencing and compared it to a representative subcutaneous adipose tissue. We found that the inflammation- and diabetes-related miRNAs were significantly enriched in the intermuscular rather than in the subcutaneous adipose tissue. A functional enrichment analysis of the genes predicted to be targeted by the enriched miRNAs also indicated that intermuscular adipose tissue was associated mainly with immune and inflammation responses. Our results suggest that the intermuscular adipose tissue should be recognized as a potential metabolic risk factor of obesity.

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Figures

Figure 1
Figure 1
Description of miRNAs in two adipose tissues. (a) Length distribution of the high-quality reads; (b) Distribution of read counts of the identified miRNAs; (c) Distribution of read counts in the three defined miRNA groups; (d) Copy numbers of the top 10 miRNAs with highest read counts. IMAT, intermuscular adipose tissue; sASAT, superficial abdominal subcutaneous adipose tissue.
Figure 2
Figure 2
Characteristics of the differentially expressed (DE) miRNAs between porcine sASAT and IMAT. (a) Distribution of 597 unique miRNAs between sASAT (blue) and IMAT (yellow). The red circle represents the 110 miRNAs with read counts >1000 in either of the two libraries. The dashed circles indicate the 45 IMAT-enriched (left) and eight sASAT-enriched (right) miRNAs (p < 0.001); (b) q-PCR validation for the top 14 DE miRNAs with highest read counts between IMAT and sASAT. Pearson’s correlation was used to determine the relationship between the q-PCR and small RNA-seq results for miRNA expression levels. IMAT-NE and sASAT-NE represent normalized expression levels for the miRNAs in the IMAT and sASAT libraries, respectively; (c) The differential expression of 19 inflammation- and diabetes-related miRNAs between IMAT and sASAT.
Figure 2
Figure 2
Characteristics of the differentially expressed (DE) miRNAs between porcine sASAT and IMAT. (a) Distribution of 597 unique miRNAs between sASAT (blue) and IMAT (yellow). The red circle represents the 110 miRNAs with read counts >1000 in either of the two libraries. The dashed circles indicate the 45 IMAT-enriched (left) and eight sASAT-enriched (right) miRNAs (p < 0.001); (b) q-PCR validation for the top 14 DE miRNAs with highest read counts between IMAT and sASAT. Pearson’s correlation was used to determine the relationship between the q-PCR and small RNA-seq results for miRNA expression levels. IMAT-NE and sASAT-NE represent normalized expression levels for the miRNAs in the IMAT and sASAT libraries, respectively; (c) The differential expression of 19 inflammation- and diabetes-related miRNAs between IMAT and sASAT.
Figure 3
Figure 3
KEGG pathways and gene ontology biological process (GO-BP) categories enriched in the target genes of the top eight sASAT- and IMAT-enriched miRNAs. GO-BP is the GO terms under the biological process ontology.

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