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_chr12_0582200 | Intergenic-Intergenic | chr12:80225737-80225845 | chr12:79831957-79832065 | 109 nt | 0.3761 |
| hsa_PPP1R12A_0017600 | Exon-Exon | chr12:80239082-80266718 | chr12:79845302-79872938 | 250 nt | 0.4160 |
| hsa_chr12_0582800 | Intergenic-Intergenic | chr12:80252283-80252412 | chr12:79858503-79858632 | 130 nt | 0.3923 |
| hsa_PPP1R12A_0018600 | Exon-Exon | chr12:80266588-80266718 | chr12:79872808-79872938 | 131 nt | 0.3893 |
| hsa_PPP1R12A_0018700 | Exon-Exon | chr12:80266588-80328731 | chr12:79872808-79934951 | 388 nt | 0.5567 |
| hsa_AC073569.1_0000100 | Intergenic-Intron | chr12:80192291-80199431 | chr12:79798511-79805651 | 134 nt | 0.4776 |
| hsa_PPP1R12A_0000200 | Intergenic-Intron | chr12:80165177-80178527 | chr12:79771397-79784747 | 250 nt | 0.3960 |
| hsa_PPP1R12A_0000600 | Exon-Exon | chr12:80167767-80168167 | chr12:79773987-79774387 | 401 nt | 0.3491 |
| hsa_PPP1R12A_0000700 | Exon-Exon | chr12:80169226-80172380 | chr12:79775446-79778600 | 51 nt | 0.3725 |
| hsa_PPP1R12A_0001000 | Exon-Exon | chr12:80172330-80180258 | chr12:79778550-79786478 | 153 nt | 0.3595 |
Showing 21 to 30 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].