BioGPS
  • Home
  • Help
  • Plugins
  • Datasets
  • Sign Up
  • Login
Examples: Gene Symbol(s), Gene Ontology, Splicing plugins, Melanoma datasets
advanced
Home › Dataset Library › Gene-chip studies of adipogenesis-regulated microRNAs in mouse primary adipocytes and human obesity (Affymetrix)

Dataset: Gene-chip studies of adipogenesis-regulated microRNAs in mouse primary adipocytes and human obesity (Affymetrix)

Adipose tissue abundance relies partly on the factors that regulate adipogenesis, i.e. proliferation and differentiation of adipocytes....

Registered by ArrayExpress Uploader
View Dataset

Adipose tissue abundance relies partly on the factors that regulate adipogenesis, i.e. proliferation and differentiation of adipocytes. While the transcriptional program that initiates adipogenesis is well-known, the importance of microRNAs in adipogenesis is less well studied. We thus set out to investigate whether miRNAs would be actively modulated during adipogenesis and obesity. Several models exist to study adipogenesis in vitro, of which the cell line 3T3-L1 is probably the most well known, albeit not the most physiologically appropriate. We used a microarray strategy to provide a global profile of miRNAs in brown and white primary murine adipocytes (prior to and following differentiation) and evaluated the similarity of the responses to non-primary cell models, through literature data-mining. We found 65 miRNAs regulated during in vitro adipogenesis in primary adipocytes. When we compared our primary adipocyte profiles with those of cell lines reported in the literature, we found a high degree of difference in adipogenesis-regulated miRNAs. We evaluated the expression of 10 of our adipogenesis-regulated miRNAs using real-time qPCR and then selected 5 miRNAs that showed robust expression levels and profiled these by qPCR in subcutaneous adipose tissue of 20 humans with a range of body mass indices (BMI, range=21-48). Of the miRNAs tested, mir-21 was both highly expressed in human adipose tissue and positively correlated with BMI (R2=0.49, p<0.001). In conclusion, we provide the preliminary analysis of miRNAs important for primary cell in vitro adipogenesis and find that the inflammation-associated miRNA, mir-21, is up-regulated in subcutaneous adipose tissue in human obesity. A global transcriptomic survey of subcutaneous adipose tissue from human subjects characterised as having normal glucose tolerance, glucose intolerance or frank type 2 diabetes.

Species:
human

Samples:
33

Source:
E-GEOD-27949

PubMed:
21426570

Updated:
Dec.12, 2014

Registered:
Sep.15, 2014


Factors: (via ArrayExpress)
Sample BMI CLINICAL STATUS VO2MAX FFM FASTING INSULIN FASTING GLUCOSE HBA1C AGE
GSM691122 38.1 NGT 41 117 5.2 5.5 22
GSM691123 35.3 NGT 27 37 4.5 5.5 48
GSM691124 32.9 NGT 72 62 5.0 5.7 39
GSM691125 42.2 DM 36 67 9.0 6.1 56
GSM691126 39.7 IGT 45 53 5.9 5.4 41
GSM691127 36.7 IGT 54 61 5.8 5.2 47
GSM691128 41.5 IGT 23 124 5.9 5.8 58
GSM691129 50.2 DM 27 162 6.9 6.2 49
GSM691130 37.4 NGT 39 52 4.5 5.9 46
GSM69113 36.7 NGT 47 59 5.0 5.7 45
GSM691132 39.5 IGT 38 118 6.2 6.2 57
GSM691133 27.2 DM 49 36 5.9 6.6 50
GSM691134 33.2 NGT 26 33 5.4 5.7 60
GSM691135 25.1 DM 30 60 9.2 6.5 60
GSM691136 23.2 DM 46 61 9.5 8.4 55
GSM691137 27.8 DM 51 92 10.1 7.1 59
GSM691138 31.8 DM 41 69 8.1 5.9 51
GSM691139 26.9 IGT 50 63 6.1 5.3 77
GSM691140 27.4 DM 55 88 8.8 6.4 67
GSM69114 28.8 DM 32 88 11.7 7.0 64
GSM691142 32.2 DM 66 226 7.3 6.3 58
GSM691143 23.6 NGT not specified 35 5.5 5.5 37
GSM691144 39.1 DM not specified 43 8.5 7.3 44
GSM691145 34.2 IGT 54 83 5.7 5.3 44
GSM691146 33.1 IGT 37 71 5.6 5.7 59
GSM691147 26.4 NGT 55 57 5.1 5.5 27
GSM691148 25.1 DM 53 42 7.7 6.4 62
GSM691149 27.3 IGT 38 38 7.0 5.6 59
GSM691150 26.2 NGT 76 19 4.8 5.5 57
GSM69115 16.7 IGT 50 14 5.9 5.6 59
GSM691152 23.0 IGT 38 51 5.1 6.0 69
GSM691153 23.1 NGT not specified 28 5.1 5.4 42
GSM691154 23.2 NGT 69 26 4.9 5.3 64

Tags

  • adipocyte
  • adipose tissue
  • body
  • cell
  • glucose
  • glucose intolerance
  • line
  • obesity
  • subcutaneous adipose tissue

Other Formats

JSON    XML
  • About
  • Blog
  • Help
  • FAQ
  • Downloads
  • API
  • iPhone App
  • Email updates
© 2026 The Scripps Research Institute. All rights reserved. (ver 94eefe6 )
  • Terms of Use