Basic Information

Symbol
SAMSN1
RNA class
mRNA
Alias
SAM Domain, SH3 Domain And Nuclear Localization Signals 1 HACS1 SH3D6B NASH1 SASH2 SLy2 Src Homology Domain 3 (SH3)-Containing Adapter Protein SH3 Lymphocyte Protein 2 SAM Domain, SH3 Domain And Nuclear Localization Signals Protein 1 Nuclear Localization Signals, SAM And SH3 Domain Containing 1 Hematopoietic Adaptor Containing SH3 And SAM Domains 1 SAM Domain-Containing Protein SAMSN-1 SAM And SH3 Domain Containing 2 SH3-SAM Adaptor Protein Hematopoietic Adapter-Containing SH3 And Sterile Alpha-Motif (SAM) Domains 1 Hematopoietic Adapter-Containing SH3 And Sterile I+/--Motif (SAM) Domains 1 Hematopoietic Adapter-Containing SH3 And Sterile Α-Motif (SAM) Domains 1 SAM Domain, SH3 Domain And Nuclear Localisation Signals, 1 Nash1
Location (GRCh38)
21:14485228-14658821
UCSC Genome Browser Search in Marker Scope
Forensic tag(s)
Sudden cardiac death diagnosis
External database
HGNC NCBI Ensembl OMIM UniProt GTEx

MANE select

Transcript ID
NM_022136.5
Sequence length
1860.0 nt
GC content
0.3608

Transcripts

ID Sequence Length GC content
NM_001256370.2 NCBI
GGAAGCUCAGCAGUGUCCACUGUCGCCAUUCCUUGGCCAUAGAAAACAA… 2185 nt 0.3712
NM_001256579.3 NCBI
GUGAAGGCAAGAGAGAGCUACAAGAGGCAAUCAUAUUUUUCAAAGCAGG… 2195 nt 0.3563
NM_001286523.2 NCBI
AGUUGUUUCUGUAACAGCAGAAAGUGCACUCACUAGGAGUAGUCAGAAU… 1984 nt 0.3700
NM_001395857.1 NCBI
GUGAAGGCAAGAGAGAGCUACAAGAGGCAAUCAUAUUUUUCAAAGCAGG… 2769 nt 0.3778
NM_001395858.1 NCBI
GUUUGAGUUAGGAAAGAUGAAAUGGUUCUGGAGAUUCAUGGUGGUGACA… 3105 nt 0.3784
NM_022136.5 NCBI
AGUUGUUUCUGUAACAGCAGAAAGUGCACUCACUAGGAGUAGUCAGAAU… 1860 nt 0.3608
Summary

SAMSN1 is a member of a novel gene family of putative adaptors and scaffold proteins containing SH3 and SAM (sterile alpha motif) domains (Claudio et al., 2001 [PubMed 11536050]).[supplied by OMIM, Mar 2008]

Forensic Context

A study in humans identified SAMSN1 as a differentially expressed gene significantly up-regulated in heart failure patients compared to non-heart failure patients following acute myocardial infarction in merged dataset analysis [Liu et al. DOI:10.1042/BSR20222552].