The DOI matches its Crossref record; 44 of the 44 references it cites were found in a registry or an index.
MiRNA Expression Profile of Human Subcutaneous Adipose and during Adipocyte Differentiation
Open accessAbstract
BACKGROUND: Potential regulators of adipogenesis include microRNAs (miRNAs), small non-coding RNAs that have been recently shown related to adiposity and differentially expressed in fat depots. However, to date no study is available, to our knowledge, regarding miRNAs expression profile during human adipogenesis. Thereby, the aim of this study was to investigate whether miRNA pattern in human fat cells and subcutaneous adipose tissue is associated to obesity and co-morbidities and whether miRNA expression profile in adipocytes is linked to adipogenesis. METHODOLOGY/PRINCIPAL FINDINGS: We performed a global miRNA expression microarray of 723 human and 76 viral mature miRNAs in human adipocytes during differentiation and in subcutaneous fat samples from non-obese (n = 6) and obese with (n = 9) and without (n = 13) Type-2 Diabetes Mellitus (DM-2) women. Changes in adipogenesis-related miRNAs were then validated by RT-PCR. Fifty of 799 miRNAs (6.2%) significantly differed between fat cells from lean and obese subjects. Seventy miRNAs (8.8%) were highly and significantly up or down-regulated in mature adipocytes as compared to pre-adipocytes. Otherwise, 17 of these 799 miRNAs (2.1%) were correlated with anthropometrical (BMI) and/or metabolic (fasting glucose and/or triglycerides) parameters. We identified 11 miRNAs (1.4%) significantly deregulated in subcutaneous fat from obese subjects with and without DM-2. Interestingly, most of these changes were associated with miRNAs also significantly deregulated during adipocyte differentiation. CONCLUSIONS/SIGNIFICANCE: The remarkable inverse miRNA profile revealed for human pre-adipocytes and mature adipocytes hints at a closely crosstalk between miRNAs and adipogenesis. Such candidates may represent biomarkers and therapeutic targets for obesity and obesity-related complications.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Bartel (2004) · doi:10.1016/s0092-8674(04)00045-5 · Cited by 34,714
MicroRNAs: Target Recognition and Regulatory Functions
Bartel, D. P. (2009) · Cell · doi:10.1016/j.cell.2009.01.002 · Cited by 20,068
Lewis, B. P., Burge, C. B., & Bartel, D. P. (2005) · Cell · doi:10.1016/j.cell.2004.12.035 · Cited by 11,855
Widespread changes in protein synthesis induced by microRNAs
Selbach, M., Schwanhäusser, B., Thierfelder, N., Fang, Z., Khanin, R., & Rajewsky, N. (2008) · Nature · doi:10.1038/nature07228 · Cited by 3,429 · cited 1×
“It is believed that miRNAs control the post-transcriptional regulation of ,30% of mammalian genes [12], either via degradation of target mRNAs or by translational repression [13–15].”
BackgroundMicroRNAs Modulate Hematopoietic Lineage Differentiation
Chen, C.-Z., Li, L., Lodish, H. F., & Bartel, D. P. (2004) · Science · doi:10.1126/science.1091903 · Cited by 3,257
Understanding Adipocyte Differentiation
GREGOIRE, F. M., SMAS, C. M., & SUL, H. S. (1998) · Physiological Reviews · doi:10.1152/physrev.1998.78.3.783 · Cited by 2,376
van Rooij, E., Sutherland, L. B., Liu, N., Williams, A. H., McAnally, J., Gerard, R. D., Richardson, J. A., & Olson, E. N. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0608791103 · Cited by 1,507
(2005) · doi:10.1093/nar/gki200 · Cited by 1,208
MicroRNA-143 Regulates Adipocyte Differentiation
Esau, C., Kang, X., Peralta, E., Hanson, E., Marcusson, E. G., Ravichandran, L. V., Sun, Y., Koo, S., Perera, R. J., Jain, R., et al. (2004) · Journal of Biological Chemistry · doi:10.1074/jbc.c400438200 · Cited by 1,021
Role of microRNAs in vascular diseases, inflammation, and angiogenesis
Urbich, C., Kuehbacher, A., & Dimmeler, S. (2008) · Cardiovascular Research · doi:10.1093/cvr/cvn156 · Cited by 880
Cited by
Adipose-derived circulating miRNAs regulate gene expression in other tissues
Thomou, T., Mori, M. A., Dreyfuss, J. M., Konishi, M., Sakaguchi, M., Wolfrum, C., Rao, T. N., Winnay, J. N., Garcia-Martin, R., Grinspoon, S. K., et al. (2017) · Nature · doi:10.1038/nature21365 · Cited by 1,539
MicroRNAs in metabolism and metabolic disorders
Rottiers, V., & Näär, A. M. (2012) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm3313 · Cited by 1,156
MicroRNAs 103 and 107 regulate insulin sensitivity
Trajkovski, M., Hausser, J., Soutschek, J., Bhat, B., Akin, A., Zavolan, M., Heim, M. H., & Stoffel, M. (2011) · Nature · doi:10.1038/nature10112 · Cited by 1,000
Extracellular miRNAs: From Biomarkers to Mediators of Physiology and Disease
Mori, M. A., Ludwig, R. G., Garcia-Martin, R., Brandão, B. B., & Kahn, C. R. (2019) · Cell Metabolism · doi:10.1016/j.cmet.2019.07.011 · Cited by 961
miR-33 links SREBP-2 induction to repression of sterol transporters
Marquart, T. J., Allen, R. M., Ory, D. S., & Baldán, Á. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1005191107 · Cited by 562
Metadata
- Authors
- Ortega, F. J., Moreno-Navarrete, J. M., Pardo, G., Sabater, M., Hummel, M., Ferrer, A., Rodriguez-Hermosa, J. I., Ruiz, B., Ricart, W., Peral, B., & Fernández-Real, J. M.
- Venue
- PLoS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2010-02-02
- Volume
- 5
- Issue
- 2
- Pages
- e9022
- ISSN
- 1932-6203 (ISSN-L)
- OpenAlex
- W1975998449
- Cited by
- 405
- References
- 44
- FWCI
- 18.87
- Type
- journal article
- Language
- en
- Open access
- gold
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: MiRNA Expression Profile of Human Subcutaneous Adipose and during Adipocyte Differentiation. https://app.cochat.ai/papers/10.1371/journal.pone.0009022
- The paper
- Ortega, F. J., Moreno-Navarrete, J. M., Pardo, G., Sabater, M., Hummel, M., Ferrer, A., Rodriguez-Hermosa, J. I., Ruiz, B., Ricart, W., Peral, B., & Fernández-Real, J. M. (2010). MiRNA Expression Profile of Human Subcutaneous Adipose and during Adipocyte Differentiation. PLoS ONE. https://doi.org/10.1371/journal.pone.0009022
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
