The gene information section lists the gene name (HUGO Gene Nomenclature Committee (HGNC) name if available), any approved gene synonyms, Ensembl gene description, and the Entrez gene summary from the National Center for Biotechnology Information.
The chromosomal and cytoband location of the gene according to Ensembl is reported together with the Ensembl gene identifier and Ensembl database version.
The Entrez gene identifier for the gene is also given. If any of the protein products of
the gene is linked to a UniProt KB/SWISS-PROT entry, links to the UniProt and the
neXtProt databases for these proteins are displayed.
There is also a link to the Antibodypedia portal where validation data for antibodies produced by other suppliers
against this gene can be found.
This gene encodes a member of the peroxisome proliferator-activated receptor (PPAR) subfamily of nuclear receptors. PPARs form heterodimers with retinoid X receptors (RXRs) and these heterodimers regulate transcription of various genes. Three subtypes of PPARs are known: PPAR-alpha, PPAR-delta, and PPAR-gamma. The protein encoded by this gene is PPAR-gamma and is a regulator of adipocyte differentiation. Additionally, PPAR-gamma has been implicated in the pathology of numerous diseases including obesity, diabetes, atherosclerosis and cancer. Alternatively spliced transcript variants that encode different isoforms have been described. [provided by RefSeq, Jul 2008]
The protein view displays protein features. The tabs at the top of the protein view section can be used to switch between the different splice variants encoded by this gene. The mouse over function displays additional data for the features in the protein view.
At the top of the protein view, the maximum percent sequence identity of the protein to all other proteins from other human genes is shown, using a sliding window of 10 aa residues
(HsID 10) or 50 aa residues (HsID 50) (read more).
If a signal peptide is predicted by a majority of the signal peptide predictors SPOCTOPUS,
SignalP 4.0, and
Phobius
(turquoise) and/or transmembrane regions (orange) are predicted by MDM, these are displayed.
Common (purple) and unique (grey) regions between different splice variants of the gene are also displayed
(read more), and at the bottom of the protein view is the protein scale.
The protein information section displays the alternative protein-coding transcripts (splice variants) encoded by this gene, according to the Ensembl database.
The ENSP identifier links to the Ensembl website protein summary, while the ENST identifier links to the Ensembl website transcript summary for the selected splice variant.
The data in the UniProt column can be expanded to show links to all matching
UniProt identifiers for this protein.
The protein classes to which this protein has been assigned are shown if expanding the data in the protein class column. Parent protein classes are in bold font and subclasses are listed under the parent class.
The Gene Ontology terms assigned to this protein are listed if expanding the Gene ontology column.
The length of the protein (amino acid residues according to Ensembl), molecular mass (kDalton), predicted signal peptide (according to a majority of the signal peptide predictors
SPOCTOPUS,
SignalP 4.0, and
Phobius) and the number of predicted transmembrane region(s) (according to
MDM) are also reported.
Nuclear receptors Predicted intracellular proteins Plasma proteins Transcription factors Zinc-coordinating DNA-binding domains Cancer-related genes Candidate cancer biomarkers COSMIC somatic mutations in cancer genes COSMIC Somatic Mutations COSMIC Translocations Disease related genes FDA approved drug targets Small molecule drugs Protein evidence (Ezkurdia et al 2014)
Nuclear receptors Predicted intracellular proteins Plasma proteins Transcription factors Zinc-coordinating DNA-binding domains Cancer-related genes Candidate cancer biomarkers COSMIC somatic mutations in cancer genes COSMIC Somatic Mutations COSMIC Translocations Disease related genes FDA approved drug targets Small molecule drugs Protein evidence (Ezkurdia et al 2014)
Nuclear receptors Predicted intracellular proteins Plasma proteins Transcription factors Zinc-coordinating DNA-binding domains Cancer-related genes Candidate cancer biomarkers COSMIC somatic mutations in cancer genes COSMIC Somatic Mutations COSMIC Translocations Disease related genes FDA approved drug targets Small molecule drugs Protein evidence (Ezkurdia et al 2014)
Predicted intracellular proteins Cancer-related genes COSMIC somatic mutations in cancer genes COSMIC Somatic Mutations COSMIC Translocations Protein evidence (Ezkurdia et al 2014)
Predicted intracellular proteins Cancer-related genes COSMIC somatic mutations in cancer genes COSMIC Somatic Mutations COSMIC Translocations Protein evidence (Ezkurdia et al 2014)
Nuclear receptors Predicted intracellular proteins Plasma proteins Transcription factors Zinc-coordinating DNA-binding domains Cancer-related genes Candidate cancer biomarkers COSMIC somatic mutations in cancer genes COSMIC Somatic Mutations COSMIC Translocations Disease related genes FDA approved drug targets Small molecule drugs Protein evidence (Ezkurdia et al 2014)
Predicted intracellular proteins Cancer-related genes COSMIC somatic mutations in cancer genes COSMIC Somatic Mutations COSMIC Translocations Protein evidence (Ezkurdia et al 2014)
Nuclear receptors Predicted intracellular proteins Plasma proteins Transcription factors Zinc-coordinating DNA-binding domains Cancer-related genes Candidate cancer biomarkers COSMIC somatic mutations in cancer genes COSMIC Somatic Mutations COSMIC Translocations Disease related genes FDA approved drug targets Small molecule drugs Protein evidence (Ezkurdia et al 2014)
Predicted intracellular proteins Cancer-related genes COSMIC somatic mutations in cancer genes COSMIC Somatic Mutations COSMIC Translocations Protein evidence (Ezkurdia et al 2014)
Predicted intracellular proteins Cancer-related genes COSMIC somatic mutations in cancer genes COSMIC Somatic Mutations COSMIC Translocations Protein evidence (Ezkurdia et al 2014)
