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_0002200 | Exon-Exon | chr12:80175595-80215970 | chr12:79781815-79822190 | 54 nt | 0.3889 |
| hsa_PPP1R12A_0002300 | Intron-Intron | chr12:80177139-80178547 | chr12:79783359-79784767 | 1409 nt | 0.3747 |
| hsa_PPP1R12A_0002400 | Intron-Intron | chr12:80177439-80177769 | chr12:79783659-79783989 | 331 nt | 0.3142 |
| hsa_PPP1R12A_0002900 | Intron-Exon-Intron | chr12:80180154-80183524 | chr12:79786374-79789744 | 241 nt | 0.3859 |
| hsa_PPP1R12A_0003000 | Exon-Exon | chr12:80180154-80184263 | chr12:79786374-79790483 | 341 nt | 0.3812 |
| hsa_PPP1R12A_0003100 | Exon-Exon | chr12:80180154-80189539 | chr12:79786374-79795759 | 111 nt | 0.3784 |
| hsa_PPP1R12A_0003200 | Exon-Exon | chr12:80180154-80190730 | chr12:79786374-79796950 | 274 nt | 0.3832 |
| hsa_PPP1R12A_0003300 | Exon-Exon | chr12:80180154-80191107 | chr12:79786374-79797327 | 133 nt | 0.3083 |
| hsa_PPP1R12A_0003400 | Exon-Exon | chr12:80180154-80192364 | chr12:79786374-79798584 | 91 nt | 0.4066 |
| hsa_PPP1R12A_0003500 | Exon-Exon | chr12:80180154-80200113 | chr12:79786374-79806333 | 105 nt | 0.3619 |
Showing 41 to 50 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].