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_0003600 | Intron-Exon-Intron | chr12:80180154-80204291 | chr12:79786374-79810511 | 111 nt | 0.3514 |
| hsa_PPP1R12A_0002600 | Exon-Exon | chr12:80180154-80211298 | chr12:79786374-79817518 | 1793 nt | 0.4044 |
| hsa_PPP1R12A_0003700 | Exon-Exon | chr12:80180154-80215970 | chr12:79786374-79822190 | 427 nt | 0.3747 |
| hsa_PPP1R12A_0002500 | Exon-Exon | chr12:80180154-80222244 | chr12:79786374-79828464 | 2260 nt | 0.4004 |
| hsa_PPP1R12A_0003800 | Intron-Exon | chr12:80180485-80180768 | chr12:79786705-79786988 | 284 nt | 0.3732 |
| hsa_PPP1R12A_0003900 | Exon-Exon | chr12:80180769-80181007 | chr12:79786989-79787227 | 239 nt | 0.3389 |
| hsa_PPP1R12A_0004400 | Exon-Exon | chr12:80182428-80190730 | chr12:79788648-79796950 | 175 nt | 0.3886 |
| hsa_PPP1R12A_0004500 | Exon-Exon | chr12:80182428-80192364 | chr12:79788648-79798584 | 91 nt | 0.4066 |
| hsa_PPP1R12A_0004200 | Exon-Exon | chr12:80182428-80199548 | chr12:79788648-79805768 | 979 nt | 0.4035 |
| hsa_PPP1R12A_0004300 | Exon-Exon | chr12:80182428-80200113 | chr12:79788648-79806333 | 1147 nt | 0.4115 |
Showing 51 to 60 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].