MiR-33

Non-coding RNA in the species Homo sapiens From Wikipedia, the free encyclopedia

miR-33 is a family of microRNA precursors, which are processed by the Dicer enzyme to give mature microRNAs.[1] miR-33 is found in several animal species, including humans. In some species there is a single member of this family which gives the mature product mir-33. In humans there are two members of this family called mir-33a and mir-33b, which are located in intronic regions within two protein-coding genes for Sterol regulatory element-binding proteins (SREBP-2 and SREBP-1) respectively.[2]

SymbolmiR-33a
Alt. Symbolsmir33a
Quick facts Identifiers, Symbol ...
miR-33a
Conserved secondary structure of miR-33a microRNA precursor
Identifiers
SymbolmiR-33a
Alt. Symbolsmir33a
RfamRF00667
miRBaseMI0000091
miRBase familyMIPF0000070
NCBI Gene407039
HGNC31634
Other data
RNA typemiRNA
DomainMetazoa
GO0035195
SO0001244
LocusChr. 22 q13.2
PDB structuresPDBe
Close
SymbolmiR-33b
Alt. Symbolsmir33b
Quick facts Identifiers, Symbol ...
miR-33b
Identifiers
SymbolmiR-33b
Alt. Symbolsmir33b
RfamRF00667
miRBaseMI0003646
miRBase familyMIPF0000070
NCBI Gene693120
HGNC32791
Other data
RNA typemiRNA
DomainMetazoa
GO0035195
SO0001244
LocusChr. 17 13.2
PDB structuresPDBe
Close

Function

miR-33 plays a role in lipid metabolism; it downregulates a number of ABC transporters, including ABCA1 and ABCG1, which in turn regulate cholesterol and HDL generation.[3][4] Further related roles of miR-33 have been proposed in fatty acid degradation and in macrophage response to low-density lipoprotein.[2] It has been suggested that miR-33a and miR-33b regulates genes Involved in fatty acid metabolism and insulin signalling.[5]

Potential binding sites for mir-33 have been identified in the cDNA of tumour suppressor p53.[6] Further, study has shown that miR-33 is able to repress p53 expression and p53-induced apoptosis. This function is thought to be related to hematopoietic stem cell renewal.[7]

Applications

miR-33, along with miR-122, could be used to diagnose or treat conditions related to metabolic disorders and cardiovascular disease.[2][8]

References

Related Articles

Wikiwand AI