Summary
- Splice variants
- Transcript comparison
- Gene alleles
Sequence
- Secondary Structure
Comparative Genomics
Ontologies
- GO: Anatomical entity
Phenotypes
Genetic Variation
Gene expression
Pathway
Molecular interactions
Regulation
External references
Supporting evidence
ID History
- Gene history

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Gene: TP53 ENSSSCG00000017950

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Description

tumor protein p53 [Source:NCBI gene (formerly Entrezgene);Acc:397276]

Gene Synonyms

P53

Location

Primary_assembly 12: 52,939,644-52,953,818 reverse strand.

Sscrofa11.1:CM000823.5

About this gene

This gene has 3 transcripts (splice variants), 253 orthologues and 2 paralogues.

Transcripts

Show transcript tableHide transcript table

Transcript ID	Name	bp	Protein	Translation ID	Biotype	UniProt Match	Flags
ENSSSCT00000063943.3	TP53-202	1717	395aa	ENSSSCP00000050664.2	Gene/transcipt that contains an open reading frame (ORF).Protein coding	A0A287B3I9 A0A8D1ADQ8	A single transcript chosen for a gene which is the most conserved, most highly expressed, has the longest coding sequence and is represented in other key resources, such as NCBI and UniProt. This is defined in detail on http://www.ensembl.org/info/genome/genebuild/canonical.htmlEnsembl Canonical,
ENSSSCT00000098124.1	TP53-203	2325	383aa	ENSSSCP00000075884.1	Gene/transcipt that contains an open reading frame (ORF).Protein coding	A0A8W4F9D0	-
ENSSSCT00000019534.5	TP53-201	1861	386aa	ENSSSCP00000019016.2	Gene/transcipt that contains an open reading frame (ORF).Protein coding	A0A1B2TT48 Q9TUB2	APPRIS P1: Transcript(s) expected to code for the main functional isoform based solely on the core modules in the APPRIS. APPRIS is a system to annotate alternatively spliced transcripts based on a range of computational methods to identify the most functionally important transcript(s) of a gene. APPRIS P1,

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Breeds

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Genomic alignments

Gene tree

Orthologues

Paralogues

Families (Not available)

More views of comparative genomics data, such as multiple alignments and synteny, are available on the Location page for this gene.

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Personal Data