The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Identification, Characterization, and Tissue Distribution of Human Peroxisome Proliferator-activated Receptor (PPAR) Isoforms PPARγ2 versus PPARγ1 and Activation with Retinoid X Receptor Agonists and Antagonists
Open accessAbstract
We describe the cloning, characterization, and tissue distribution of the two human peroxisome proliferator activated receptor isoforms hPPARgamma2 and hPPARgamma1. In cotransfection assays the two isoforms were activated to approximately the same extent by known PPARgamma activators. Human PPARgamma binds to DNA as a heterodimer with the retinoid X receptor (RXR). This heterodimer was activated by both RXR agonists and antagonists and the addition of PPARgamma ligands with retinoids resulted in greater than additive activation. Such heterodimer-selective modulators may have a role in the treatment of PPARgamma/RXR-modulated diseases like diabetes. Northern blot analysis indicated the presence of PPARgamma in skeletal muscle, and a sensitive RNase protection assay confirmed the presence of only PPARgamma1 in muscle that was not solely due to fat contamination. However, both PPARgamma1 and PPARgamma2 RNA were detected in fat, and the ratio of PPARgamma1 to PPARgamma2 RNA varied in different individuals. The presence of tissue-specific distribution of isoforms and the variable ratio of PPARgamma1 to PPARgamma2 raised the possibility that isoform expression may be modulated in disease states like non-insulin-dependent diabetes mellitus. Interestingly, a third protected band was detected with fat RNA indicating the possible existence of a third human PPARgamma isoform.
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
Kozak, M. (1986) · Cell · doi:10.1016/0092-8674(86)90762-2 · Cited by 4,741
Activation of a member of the steroid hormone receptor superfamily by peroxisome proliferators
Issemann, I., & Green, S. (1990) · Nature · doi:10.1038/347645a0 · Cited by 3,519
Regulation of retinoid signalling by receptor polarity and allosteric control of ligand binding
Kurokawa, R., DiRenzo, J., Boehm, M., Sugarman, J., Gloss, B., Rosenfeld, M. G., Heyman, R. A., & Glass, C. K. (1994) · Nature · doi:10.1038/371528a0 · Cited by 429
Cited by
The PPARs: From Orphan Receptors to Drug Discovery
Willson, T. M., Brown, P. J., Sternbach, D. D., & Henke, B. R. (2000) · Journal of Medicinal Chemistry · doi:10.1021/jm990554g · Cited by 1,816
Varga, T., Czimmerer, Z., & Nagy, L. (2011) · Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease · doi:10.1016/j.bbadis.2011.02.014 · Cited by 933
Bays, H., Mandarino, L., & DeFronzo, R. A. (2004) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2003-030723 · Cited by 664
Peroxisome proliferator-activated receptors: insight into multiple cellular functions
Escher, P., & Wahli, W. (2000) · Mutation Research - Fundamental and Molecular Mechanisms of Mutagenesis · doi:10.1016/s0027-5107(99)00231-6 · Cited by 491
Takacs, M. L., & Abbott, B. D. (2007) · Toxicological Sciences · doi:10.1093/toxsci/kfl135 · Cited by 396
Metadata
- Authors
- Mukherjee, R., Jow, L., Croston, G. E., & Paterniti, J. R.
- Venue
- Journal of Biological Chemistry
- Publisher
- Elsevier BV
- Published
- 1997-03
- Volume
- 272
- Issue
- 12
- Pages
- 8071-8076
- ISSN
- 0021-9258 (ISSN-L)
- OpenAlex
- W2077000982
- Cited by
- 420
- References
- 3
- FWCI
- 7.09
- Type
- journal article
- Language
- en
- Open access
- hybrid
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: Identification, Characterization, and Tissue Distribution of Human Peroxisome Proliferator-activated Receptor (PPAR) Isoforms PPARγ2 versus PPARγ1 and Activation with Retinoid X Receptor Agonists and Antagonists. https://app.cochat.ai/papers/10.1074/jbc.272.12.8071
- The paper
- Mukherjee, R., Jow, L., Croston, G. E., & Paterniti, J. R. (1997). Identification, Characterization, and Tissue Distribution of Human Peroxisome Proliferator-activated Receptor (PPAR) Isoforms PPARγ2 versus PPARγ1 and Activation with Retinoid X Receptor Agonists and Antagonists. Journal of Biological Chemistry. https://doi.org/10.1074/jbc.272.12.8071
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.