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_0005600 | Exon-Exon | chr12:80184247-80222231 | chr12:79790467-79828451 | 198 nt | 0.3990 |
| hsa_PPP1R12A_0005800 | Exon-Exon | chr12:80187643-80190730 | chr12:79793863-79796950 | 357 nt | 0.3866 |
| hsa_PPP1R12A_0006400 | Exon-Exon | chr12:80187643-80191175 | chr12:79793863-79797395 | 66 nt | 0.3636 |
| hsa_PPP1R12A_0006500 | Exon-Exon | chr12:80187643-80192364 | chr12:79793863-79798584 | 91 nt | 0.4066 |
| hsa_PPP1R12A_0005900 | Exon-Exon | chr12:80187643-80199548 | chr12:79793863-79805768 | 826 nt | 0.4031 |
| hsa_PPP1R12A_0006000 | Exon-Exon | chr12:80187643-80200077 | chr12:79793863-79806297 | 958 nt | 0.4144 |
| hsa_PPP1R12A_0006100 | Exon-Exon | chr12:80187643-80200113 | chr12:79793863-79806333 | 994 nt | 0.4125 |
| hsa_PPP1R12A_0006200 | Exon-Exon | chr12:80187643-80201110 | chr12:79793863-79807330 | 1099 nt | 0.4031 |
| hsa_PPP1R12A_0006600 | Intron-Exon-Intron | chr12:80187643-80204291 | chr12:79793863-79810511 | 183 nt | 0.4262 |
| hsa_PPP1R12A_0006700 | Exon-Exon | chr12:80187643-80211298 | chr12:79793863-79817518 | 66 nt | 0.3636 |
Showing 71 to 80 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].