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Cited by 250

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Human SGBS Cells – a Unique Tool for Studies of Human Fat Cell Biology

Open access
Fischer-Posovszky, Pamela, Newell, Felicity S., Wabitsch, Martin, Tornqvist, Hans E.·2008·Obesity Facts

Abstract

The human Simpson-Golabi-Behmel syndrome (SGBS) preadipocyte cell strain provides a unique and useful tool for studies of human adipocyte biology. The cells originate from an adipose tissue specimen of a patient with SGBS. They are neither transformed nor immortalized, and provide an almost unlimited source due to their ability to proliferate for up to 50 generations with retained capacity for adipogenic differentiation. So far, the cells have been used for a number of studies on adipose differentiation, adipocyte glucose uptake, lipolysis, apoptosis, regulation of expression of adipokines, and protein translocation. The cells are efficiently differentiated in the presence of PPARgammaagonists and in the absence of serum and albumin. SGBS adipocytes respond to insulin stimulation by increasing glucose uptake several-fold (EC50 approximately 100 pmol/l), and by very effectively inhibiting (IC50 approximately 10 pmol/l) catecholamine-stimulated lipolysis.

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Crossref · 10.1159/000145784

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Metadata

Authors
Fischer-Posovszky, P., Newell, F. S., Wabitsch, M., & Tornqvist, H. E.
Venue
Obesity Facts
Publisher
S. Karger AG
Published
2008
Volume
1
Issue
4
Pages
184-189
ISSN
  • 1662-4025 (ISSN-L)
  • 1662-4033
OpenAlex
W2075496997
Cited by
250
References
4
FWCI
3.22
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Human SGBS Cells – a Unique Tool for Studies of Human Fat Cell Biology. https://app.cochat.ai/papers/10.1159/000145784
The paper
Fischer-Posovszky, P., Newell, F. S., Wabitsch, M., & Tornqvist, H. E. (2008). Human SGBS Cells – a Unique Tool for Studies of Human Fat Cell Biology. Obesity Facts. https://doi.org/10.1159/000145784

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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.