Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 271

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Cell line models for differentiation: preadipocytes and adipocytes

Poulos, Sylvia P, Dodson, Michael V, Hausman, Gary J·2010·Experimental Biology and Medicine

Abstract

In vitro models have been invaluable in determining the mechanisms involved in adipocyte proliferation, differentiation, adipokine secretion and gene/protein expression. The cells presently available for research purposes all have unique advantages and disadvantages that one should be aware of when selecting cells. Established cell lines, such as 3T3-L1 cells, are easier and less costly to use than freshly isolated cells, even though freshly isolated cells allow for various comparisons such as the in vitro evaluation of different in vivo conditions that may not be possible using cell lines. Moreover, stem cells, transdifferentiated cells or dedifferentiated cells are relatively new cell models being evaluated for the study of adipocyte regulation and physiology. The focus of this brief review is to highlight similarities and differences in adipocyte models to aid in appropriate model selection and data interpretation for successful advancement of our understanding of adipocyte biology.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1258/ebm.2010.010063

Cites

2 of 2 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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

Show all 2 references

Cited by

See all 271

Metadata

Authors
Poulos, S. P., Dodson, M. V., & Hausman, G. J.
Venue
Experimental Biology and Medicine
Published
2010-10
Volume
235
Issue
10
Pages
1185-1193
ISSN
  • 0071-3384 (ISSN-L)
  • 1535-3702
  • 1535-3699
OpenAlex
W2069237083
Cited by
271
References
2
FWCI
13.51
Type
journal article
Language
en
Open access
closed

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: Cell line models for differentiation: preadipocytes and adipocytes. https://app.cochat.ai/papers/10.1258/ebm.2010.010063
The paper
Poulos, S. P., Dodson, M. V., & Hausman, G. J. (2010). Cell line models for differentiation: preadipocytes and adipocytes. Experimental Biology and Medicine. https://doi.org/10.1258/ebm.2010.010063

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.