Literature DB >> 17609412

Characterization of ScAP-23, a new cell line from murine subcutaneous adipose tissue, identifies genes for the molecular definition of preadipocytes.

Ji Young Kim1, Yu Wu, Cynthia M Smas.   

Abstract

The 3T3-L1 model of in vitro adipogenesis has provided key insights into the molecular nature of this process. However, given that 3T3-L1 are of an embryonic origin, it is not clear to what extent they represent adipogenesis as it occurs in white adipose tissue (WAT). With the goal of better defining preadipocytes and adipogenesis in WAT, we have generated a new cell culture model from adipocyte precursors present in C57BL/6 mouse subcutaneous WAT. ScAP-23 preadipocytes show fibroblastic morphology, and on treatment with dexamethasone, 3-methylisobutylxanthine, insulin, and indomethacin, convert to nearly 100% adipocyte morphology. ScAP-23 adipocytes contain abundant lipid droplets and express transcripts for PPAR gamma, C/EBP family, and SREBP-1c transcription factors, SCD1, aFABP, ATGL, GLUT4, FAS, LDL, and GPDH, and are insulin responsive. Differential screening of 1,176 genes using nylon DNA arrays identified 10 transcripts enriched in ScAP-23 adipocytes vs. preadipocytes and 26 transcripts enriched in ScAP-23 preadipocytes vs. adipocytes. Semiquantitative or real-time PCR analyses identified a common cohort of 14 transcripts markedly downregulated in both ScAP-23 and 3T3-L1 adipogenesis. These included catenin-beta1, chemokine ligand-2, serine or cysteine peptidase inhibitor f1, aurora kinase B, thrombospondin2, and solute carrier-7a5. Five of these transcripts (Ccl2, Serpinf1, Aurkb, Thbs2, and Slc7a5) demonstrated at least a twofold increase in WAT from obese (ob/ob) mice compared with that of wild-type mice. This suggests that comparative gene expression studies of ScAP-23 and 3T3-L1 adipogenesis may be particularly fruitful in identifying preadipocyte-expressed genes that play a role in adipose tissue physiology and/or pathophysiology.

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Year:  2007        PMID: 17609412     DOI: 10.1152/physiolgenomics.00206.2006

Source DB:  PubMed          Journal:  Physiol Genomics        ISSN: 1094-8341            Impact factor:   3.107


  8 in total

1.  Temporal analysis of neural differentiation using quantitative proteomics.

Authors:  Raghothama Chaerkady; Candace L Kerr; Arivusudar Marimuthu; Dhanashree S Kelkar; Manoj Kumar Kashyap; Marjan Gucek; John D Gearhart; Akhilesh Pandey
Journal:  J Proteome Res       Date:  2009-03       Impact factor: 4.466

2.  Downregulated expression of the secreted glycoprotein follistatin-like 1 (Fstl1) is a robust hallmark of preadipocyte to adipocyte conversion.

Authors:  Yu Wu; Shengli Zhou; Cynthia M Smas
Journal:  Mech Dev       Date:  2010-01-04       Impact factor: 1.882

3.  Identification of RIFL, a novel adipocyte-enriched insulin target gene with a role in lipid metabolism.

Authors:  Gang Ren; Ji Young Kim; Cynthia M Smas
Journal:  Am J Physiol Endocrinol Metab       Date:  2012-05-08       Impact factor: 4.310

4.  Fetal sex modulates placental microRNA expression, potential microRNA-mRNA interactions, and levels of amino acid transporter expression and substrates: INFAT study subpopulation analysis of n-3 LCPUFA intervention during pregnancy and associations with offspring body composition.

Authors:  Eva-Maria Sedlmeier; Dorothy M Meyer; Lynne Stecher; Manuela Sailer; Hannelore Daniel; Hans Hauner; Bernhard L Bader
Journal:  BMC Mol Cell Biol       Date:  2021-03-03

5.  Expression and regulation of transcript for the novel transmembrane protein Tmem182 in the adipocyte and muscle lineage.

Authors:  Yu Wu; Cynthia M Smas
Journal:  BMC Res Notes       Date:  2008-09-19

6.  hPER3 promotes adipogenesis via hHSP90AA1-mediated inhibition of Notch1 pathway.

Authors:  Xinxing Wan; Liyong Zhu; Liling Zhao; Lin Peng; Jing Xiong; Wenjun Yang; Jingjing Yuan; Fang Liang; Keke Zhang; Ke Chen
Journal:  Cell Death Dis       Date:  2021-03-19       Impact factor: 8.469

7.  Zfp423 promotes adipogenic differentiation of bovine stromal vascular cells.

Authors:  Yan Huang; Arun Kr Das; Qi-Yuan Yang; Mei-Jun Zhu; Min Du
Journal:  PLoS One       Date:  2012-10-10       Impact factor: 3.240

8.  Differential screening identifies transcripts with depot-dependent expression in white adipose tissues.

Authors:  Yu Wu; Ji Young Kim; Shengli Zhou; Cynthia M Smas
Journal:  BMC Genomics       Date:  2008-08-22       Impact factor: 3.969

  8 in total

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