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Differential Expression of Signal Transducers and Activators of Transcription during Human Adipogenesis

Overview of attention for article published in Biochemical & Biophysical Research Communications, March 2001
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Title
Differential Expression of Signal Transducers and Activators of Transcription during Human Adipogenesis
Published in
Biochemical & Biophysical Research Communications, March 2001
DOI 10.1006/bbrc.2001.4460
Pubmed ID
Authors

Joyce B. Harp, Dawn Franklin, Abenah A. Vanderpuije, Jeffrey M. Gimble

Abstract

Signal Transducers and Activators of Transcription (STATs) display unique expression patterns upon induction of differentiation of murine 3T3-L1 preadipocytes into adipocytes. During differentiation, expression of STAT1 and STAT5 increase, while STAT3 and STAT6 remain relatively unchanged. Here, we determined whether human subcutaneous preadipocytes expressed STATs and if the pattern of expression changed during adipogenesis. We found by Western blot analysis that freshly isolated preadipocytes expressed STAT1, STAT3, STAT5, and STAT6, but not STAT2 and STAT4. Induction of preadipocyte differentiation with 1-methyl-3-isobutylxanthine, dexamethasone, insulin, and BRL49653 decreased expression of STAT1, and increased expression of STAT3 and STAT5. STAT6 expression did not change during adipogenesis. Changes in expression of CCAAT/enhancer binding protein beta (C/EBPbeta), C/EBPdelta, C/EBPalpha, and peroxisome proliferator-activated receptor gamma were similar to murine cell lines. These results suggest that unlike the traditional adipogenic transcription factors, unique differences exist in STAT expression patterns between murine and human adipose cells.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 3%
United States 1 3%
Switzerland 1 3%
Unknown 33 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 36%
Student > Ph. D. Student 4 11%
Student > Master 4 11%
Student > Bachelor 3 8%
Student > Doctoral Student 2 6%
Other 7 19%
Unknown 3 8%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 12 33%
Agricultural and Biological Sciences 10 28%
Medicine and Dentistry 5 14%
Immunology and Microbiology 2 6%
Mathematics 1 3%
Other 2 6%
Unknown 4 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 30 April 2019.
All research outputs
#8,535,472
of 25,374,917 outputs
Outputs from Biochemical & Biophysical Research Communications
#7,621
of 26,638 outputs
Outputs of similar age
#14,267
of 42,454 outputs
Outputs of similar age from Biochemical & Biophysical Research Communications
#65
of 172 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 26,638 research outputs from this source. They receive a mean Attention Score of 4.5. This one is in the 28th percentile – i.e., 28% of its peers scored the same or lower than it.
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We're also able to compare this research output to 172 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.