Basic Information
Symbol
circPPP1R12A
RNA Class
circRNA
Alias
Protein Phosphatase 1 Regulatory Subunit 12A
MBS
Myosin Phosphatase-Targeting Subunit 1
MYPT1
M130
Protein Phosphatase 1, Regulatory (Inhibitor) Subunit 12A
Protein Phosphatase Myosin-Binding Subunit
Myosin Binding Subunit
Protein Phosphatase 1, Regulatory Subunit 12A
Myosin Phosphatase, Target Subunit 1
Myosin Phosphatase Target Subunit 1
GUBS
Location (GRCh37)
12:80109331-80328903
UCSC Genome Browser
Location (GRCh38)
12:79715551-79935123
Host gene
PPP1R12A
Host category
mRNA
Forensic tag(s)
Other applications
External database
Transcripts
| ID | Type | Location (GRCh37) | Location (GRCh38) | Length | GC content |
|---|---|---|---|---|---|
| hsa_PPP1R12A_0017400 | Intron-Intron | chr12:80234359-80234516 | chr12:79840579-79840736 | 158 nt | 0.3228 |
| hsa_PPP1R12A_0017500 | Intron-Exon | chr12:80238492-80328606 | chr12:79844712-79934826 | 972 nt | 0.4218 |
| hsa_PPP1R12A_0017700 | Exon-Exon | chr12:80239082-80242711 | chr12:79845302-79848931 | 259 nt | 0.4247 |
| hsa_chr12_0582300 | Intergenic-Intergenic | chr12:80239145-80239545 | chr12:79845365-79845765 | 401 nt | 0.4439 |
| hsa_chr12_0582400 | Intergenic-Intergenic | chr12:80239145-80266651 | chr12:79845365-79872871 | 264 nt | 0.4318 |
| hsa_PPP1R12A_0017800 | Exon-Exon | chr12:80239160-80328606 | chr12:79845380-79934826 | 173 nt | 0.5954 |
| hsa_chr12_0582500 | Intergenic-Intergenic | chr12:80239215-80240115 | chr12:79845435-79846335 | 901 nt | 0.3585 |
| hsa_PPP1R12A_0017900 | Intron-Exon-Intron | chr12:80242568-80266718 | chr12:79848788-79872938 | 275 nt | 0.4036 |
| hsa_PPP1R12A_0018000 | Exon-Intron | chr12:80242606-80262391 | chr12:79848826-79868611 | 118 nt | 0.4492 |
| hsa_chr12_0582600 | Intergenic-Intergenic | chr12:80244137-80244490 | chr12:79850357-79850710 | 354 nt | 0.3305 |
Showing 181 to 190 of 218 entries
Forensic Context
A study in humans developed the CoraL framework to predict cancer-associated ncRNA-encoded small peptides (ncPEPs) from 15 cancer types, demonstrating high-confidence predictions with few samples and outperforming existing models [Li et al. DOI:10.1093/bib/bbad352].