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_0006300 | Exon-Exon | chr12:80187643-80214946 | chr12:79793863-79821166 | 1782 nt | 0.4040 |
| hsa_PPP1R12A_0006800 | Exon-Exon | chr12:80187643-80222244 | chr12:79793863-79828464 | 72 nt | 0.3472 |
| hsa_PPP1R12A_0006900 | Exon-Exon | chr12:80187643-80328734 | chr12:79793863-79934954 | 188 nt | 0.3777 |
| hsa_PPP1R12A_0007000 | Exon-Exon | chr12:80189418-80190730 | chr12:79795638-79796950 | 291 nt | 0.3918 |
| hsa_PPP1R12A_0007100 | Exon-Exon | chr12:80189418-80192364 | chr12:79795638-79798584 | 97 nt | 0.4021 |
| hsa_PPP1R12A_0007200 | Intron-Exon-Intron | chr12:80190297-80203790 | chr12:79796517-79810010 | 1487 nt | 0.3921 |
| hsa_PPP1R12A_0007300 | Intron-Exon-Intron | chr12:80190297-80215970 | chr12:79796517-79822190 | 1934 nt | 0.3919 |
| hsa_PPP1R12A_0007700 | Exon-Exon | chr12:80190562-80192364 | chr12:79796782-79798584 | 260 nt | 0.4000 |
| hsa_PPP1R12A_0007400 | Exon-Exon | chr12:80190562-80201110 | chr12:79796782-79807330 | 911 nt | 0.4083 |
| hsa_PPP1R12A_0007500 | Exon-Exon | chr12:80190562-80202357 | chr12:79796782-79808577 | 1006 nt | 0.4076 |
Showing 81 to 90 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].