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_0000500 | Exon-Exon | chr12:80167343-80189539 | chr12:79773563-79795759 | 2998 nt | 0.3332 |
| hsa_PPP1R12A_0001400 | Exon-Exon | chr12:80175595-80182563 | chr12:79781815-79788783 | 289 nt | 0.3806 |
| hsa_PPP1R12A_0001300 | Exon-Exon | chr12:80175595-80192364 | chr12:79781815-79798584 | 955 nt | 0.3791 |
| hsa_PPP1R12A_0002700 | Exon-Exon | chr12:80180154-80182563 | chr12:79786374-79788783 | 241 nt | 0.3859 |
| hsa_PPP1R12A_0002800 | Intron-Exon-Intron | chr12:80180154-80183460 | chr12:79786374-79789680 | 1138 nt | 0.3743 |
| hsa_PPP1R12A_0004000 | Exon-Exon | chr12:80182428-80189539 | chr12:79788648-79795759 | 341 nt | 0.3900 |
| hsa_PPP1R12A_0005100 | Exon-Exon | chr12:80184247-80239200 | chr12:79790467-79845420 | 2298 nt | 0.4073 |
| hsa_PPP1R12A_0005700 | Exon-Exon | chr12:80187643-80215970 | chr12:79793863-79822190 | 1857 nt | 0.4023 |
| hsa_PPP1R12A_0008800 | Exon-Exon | chr12:80199372-80214946 | chr12:79805592-79821166 | 1133 nt | 0.4192 |
| hsa_PPP1R12A_0008900 | Exon-Exon | chr12:80199372-80215970 | chr12:79805592-79822190 | 1208 nt | 0.4156 |
Showing 1 to 10 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].