Gene Ontology Classifications

Symbol
Name
ID

Snrpa1
small nuclear ribonucleoprotein polypeptide A'
MGI:1916231

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Automated description from the Alliance of Genome Resources (Release 7.4.0)

Predicted to enable U2 snRNA binding activity. Predicted to be involved in mRNA splicing, via spliceosome and spermatogenesis. Predicted to be located in nuclear speck. Predicted to be part of U2 snRNP; U2-type catalytic step 2 spliceosome; and U2-type precatalytic spliceosome. Is expressed in several structures, including central nervous system; hemolymphoid system; liver; metanephros; and sensory organ. Human ortholog(s) of this gene implicated in connective tissue disease. Orthologous to human SNRPA1 (small nuclear ribonucleoprotein polypeptide A').

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Aspect

Category

Evidence

Gene Ontology Evidence Code Abbreviations:

Experimental:

EXP: Inferred from experiment
HMP: Inferred from high throughput mutant phenotype
HGI: Inferred from high throughput genetic interaction
HDA: Inferred from high throughput direct assay
HEP: Inferred from high throughput expression pattern
IDA: Inferred from direct assay
IEP: Inferred from expression pattern
IGI: Inferred from genetic interaction
IMP: Inferred from mutant phenotype
IPI: Inferred from physical interaction

Homology:

IAS: Inferred from ancestral sequence
IBA: Inferred from biological aspect of ancestor
IBD: Inferred from biological aspect of descendant
IKR: Inferred from key residues
IMR: Inferred from missing residues
IRD: Inferred from rapid divergence
ISA: Inferred from sequence alignment
ISM: Inferred from sequence model
ISO: Inferred from sequence orthology
ISS: Inferred from sequence or structural similarity

Automated:

IEA: Inferred from electronic annotation
RCA: Reviewed computational analysis

Other:

IC: Inferred by curator
NAS: Non-traceable author statement
ND: No biological data available
TAS: Traceable author statement

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Contributing Projects: Mouse Genome Database (MGD), Gene Expression Database (GXD), Mouse Models of Human Cancer database (MMHCdb) (formerly Mouse Tumor Biology (MTB)), Gene Ontology (GO)
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