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_0012200 | Intron-Exon-Intron | chr12:80211174-80299818 | chr12:79817394-79906038 | 250 nt | 0.3080 |
| hsa_PPP1R12A_0013200 | Exon-Exon | chr12:80211174-80328731 | chr12:79817394-79934951 | 125 nt | 0.4240 |
| hsa_PPP1R12A_0012600 | Exon-Exon | chr12:80211174-80328734 | chr12:79817394-79934954 | 1262 nt | 0.4548 |
| hsa_PPP1R12A_0013300 | Intron-Intron | chr12:80211747-80211959 | chr12:79817967-79818179 | 213 nt | 0.3615 |
| hsa_chr12_0581900 | Intergenic-Intergenic | chr12:80212294-80213490 | chr12:79818514-79819710 | 1197 nt | 0.3434 |
| hsa_chr12_0582000 | Intergenic-Intergenic | chr12:80213124-80213392 | chr12:79819344-79819612 | 269 nt | 0.3309 |
| hsa_PPP1R12A_0013800 | Exon-Exon | chr12:80214554-80214711 | chr12:79820774-79820931 | 158 nt | 0.4051 |
| hsa_PPP1R12A_0014000 | Exon-Exon | chr12:80214554-80226271 | chr12:79820774-79832491 | 160 nt | 0.4438 |
| hsa_PPP1R12A_0014100 | Exon-Exon | chr12:80214554-80239150 | chr12:79820774-79845370 | 164 nt | 0.4024 |
| hsa_PPP1R12A_0014200 | Exon-Exon | chr12:80214554-80239200 | chr12:79820774-79845420 | 158 nt | 0.4051 |
Showing 141 to 150 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].