Gm21992 Gene Summary [Mouse]

This locus represents naturally occurring readthrough transcription between the neighboring Rbm14 (RNA binding motif protein 14) and Rbm4 (RNA binding motif protein 4) genes. Alternative splicing results in multiple transcript variants, some of which encode fusion proteins that share sequence identity with each individual gene product. A slight modification was made to the summary, since not all variants are protein coding [provided by RefSeq, Jun 2018]

Details

Type
Nonsense Mediated Decay
Official Symbol
Gm21992
Official Name
predicted gene 21992 [Source:MGI Symbol;Acc:MGI:5439461]
Ensembl ID
ENSMUSG00000096370
Bio databases IDs NCBI: 102902673 Ensembl: ENSMUSG00000096370
Aliases predicted gene 21992
Synonyms COAZ, Gm21992, predicted gene 21992, PSP2, RBM14, RBM14-RBM4 readthrough, SIP
Species
Mouse, Mus musculus
OrthologiesHuman

Protein Domains

A protein domain is a distinct structural or functional region within a protein that can evolve, function, and exist independently of the rest of the protein chain. These domains in mouse Gm21992 often fold into stable, three-dimensional structures and are associated with specific biological functions, such as binding to DNA, other proteins, or small molecules.
  • Zinc knuckle
  • ELAV/HuD family splicing factor
  • zinc finger
  • RNA recognition motif (RRM) superfamily
  • RNA recognition motif
  • Occluded RNA-recognition motif

Top Findings

The most significant associations for this gene, including commonly observed domains, pathway involvement, and functional highlights based on current data.
disease
  • insomnia
  • migraines
regulated by
  • N,N,N',N'-tetrakis(2-pyridyl-methyl)ethylenediamine

Subcellular Expression

Locations within the cell where the protein is known or predicted to be active, providing insight into its function and cellular context.
  • Unknown

Gene-Specific Assays for Results You Can Trust

Streamline your workflow with assays designed for this gene. Our targeted dPCR and qPCR assays help you generate meaningful data – efficiently and accurately.