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_0583100 | Intergenic-Intergenic | chr12:80270793-80271321 | chr12:79877013-79877541 | 529 nt | 0.3365 |
| hsa_chr12_0583200 | Intergenic-Intergenic | chr12:80277423-80277796 | chr12:79883643-79884016 | 374 nt | 0.3503 |
| hsa_chr12_0583300 | Intergenic-Intergenic | chr12:80279569-80279990 | chr12:79885789-79886210 | 422 nt | 0.3839 |
| hsa_chr12_0583400 | Intergenic-Intergenic | chr12:80285108-80286016 | chr12:79891328-79892236 | 909 nt | 0.4015 |
| hsa_PPP1R12A_0019000 | Intron-Intron | chr12:80288795-80289940 | chr12:79895015-79896160 | 1146 nt | 0.3316 |
| hsa_PPP1R12A_0019100 | Intron-Intron | chr12:80291275-80291635 | chr12:79897495-79897855 | 361 nt | 0.3823 |
| hsa_PPP1R12A_0019200 | Intron-Intron | chr12:80292775-80292915 | chr12:79898995-79899135 | 141 nt | 0.3191 |
| hsa_chr12_0583500 | Intergenic-Intergenic | chr12:80303286-80303742 | chr12:79909506-79909962 | 457 nt | 0.4770 |
| hsa_chr12_0583600 | Intergenic-Intergenic | chr12:80303812-80304196 | chr12:79910032-79910416 | 385 nt | 0.4312 |
| hsa_PPP1R12A_0019300 | Intron-Intron | chr12:80311188-80318318 | chr12:79917408-79924538 | 250 nt | 0.4080 |
Showing 201 to 210 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].