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_0007600 | Exon-Exon | chr12:80190562-80203790 | chr12:79796782-79810010 | 1222 nt | 0.4100 |
| hsa_PPP1R12A_0007800 | Exon-Exon | chr12:80190975-80192364 | chr12:79797195-79798584 | 91 nt | 0.4066 |
| hsa_PPP1R12A_0007900 | Exon-Exon | chr12:80190975-80202357 | chr12:79797195-79808577 | 837 nt | 0.4098 |
| hsa_PPP1R12A_0008000 | Exon-Exon | chr12:80192274-80199548 | chr12:79798494-79805768 | 268 nt | 0.4664 |
| hsa_PPP1R12A_0008100 | Exon-Exon | chr12:80192274-80215970 | chr12:79798494-79822190 | 1299 nt | 0.4149 |
| hsa_PPP1R12A_0008200 | Exon-Exon | chr12:80192274-80222244 | chr12:79798494-79828464 | 1444 nt | 0.4134 |
| hsa_PPP1R12A_0008300 | Intron-Intron | chr12:80192838-80193160 | chr12:79799058-79799380 | 323 nt | 0.4427 |
| hsa_PPP1R12A_0008400 | Intron-Intron | chr12:80193070-80193687 | chr12:79799290-79799907 | 618 nt | 0.4401 |
| hsa_PPP1R12A_0008500 | Intron-Intron | chr12:80196241-80197024 | chr12:79802461-79803244 | 784 nt | 0.3941 |
| hsa_PPP1R12A_0008600 | Intron-Exon-Intron | chr12:80198921-80203790 | chr12:79805141-79810010 | 58 nt | 0.3276 |
Showing 91 to 100 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].