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_0004600 | Exon-Exon | chr12:80182428-80214946 | chr12:79788648-79821166 | 136 nt | 0.4044 |
| hsa_PPP1R12A_0004700 | Exon-Exon | chr12:80182428-80215970 | chr12:79788648-79822190 | 200 nt | 0.4000 |
| hsa_PPP1R12A_0004100 | Exon-Exon | chr12:80182428-80222244 | chr12:79788648-79828464 | 2155 nt | 0.4023 |
| hsa_PPP1R12A_0004800 | Intron-Exon | chr12:80183378-80184263 | chr12:79789598-79790483 | 147 nt | 0.3605 |
| hsa_PPP1R12A_0004900 | Intron-Exon | chr12:80183378-80211205 | chr12:79789598-79817425 | 32 nt | 0.3750 |
| hsa_PPP1R12A_0005000 | Intron-Exon-Intron | chr12:80183378-80214946 | chr12:79789598-79821166 | 172 nt | 0.3547 |
| hsa_PPP1R12A_0005300 | Exon-Exon | chr12:80184247-80190730 | chr12:79790467-79796950 | 357 nt | 0.3866 |
| hsa_PPP1R12A_0005400 | Exon-Exon | chr12:80184247-80192364 | chr12:79790467-79798584 | 157 nt | 0.3885 |
| hsa_PPP1R12A_0005200 | Exon-Exon | chr12:80184247-80211298 | chr12:79790467-79817518 | 1552 nt | 0.4072 |
| hsa_PPP1R12A_0005500 | Exon-Exon | chr12:80184247-80214946 | chr12:79790467-79821166 | 89 nt | 0.3483 |
Showing 61 to 70 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].