circRNA basic information
circBase ID: -
Name: hsa_circ_IARS
Synonym: hsa_circRNA_104816
Host Gene: IARS
Genomic location(hg19): -
Genomic location(hg38): -
Subcellular localization: not tested
 
 
 
 
 
 
 
Disease basic information
MONDO ID:
-
MONDO name: -
Disease details: aging
Disease DO ID:
-
Disease MeSH ID:
D000375
Disease NCIt ID:
C16269
Disease ICD11 ID:
-
Disease OMIM ID:
502000
Species: Human
Species details: Homo sapiens
Tissue specimen:

granulosa cells (GCs)

Cell lines:

-

In vivo animal model:

-

circRNA-disease information
Expression pattern:
UP
Associated gene: ANKRD20A9P, KCNQ1OT1, XIST
Associated microRNA: hsa-miR-561-5p, hsa-miR-140-3p
Biological function: Associated with declining ovarian reserve and adverse embryo outcomes; shows ROC predictive performance for pregnancy outcomes after ART.
Molecular mechanism: Predicted miRNA sponge (ceRNA) mechanism based on bioinformatics.
Biological pathway or process:

glycolysis (other); cell cycle (other); ovarian steroidogenesis (other); ceRNA regulation (other)

Detected method:
Q
M
Validation methods:

Microarray; RT-qPCR; RNase R Treatment; Sanger Sequencing; Back-Splice Junction PCR / divergent primers PCR; Clinical Sample Validation; ROC Analysis; Bioinformatics Analysis

Clinical significance:

circRNA_104816 expression in granulosa cells is negatively correlated with top quality embryos and has ROC predictive performance for clinical pregnancy and live birth in ART cycles.

Description:

circRNA_104816 (hsa_circRNA_104816, from IARS) is up-regulated in granulosa cells from older women and is associated with reduced ovarian reserve measures and poorer embryo outcomes. It has ROC-based predictive value for clinical pregnancy and live birth after ART, and bioinformatics suggests it may act via a ceRNA mechanism involving miRNAs and predicted targets such as ANKRD20A9P, KCNQ1OT1, and XIST, linked to glucose metabolism, mitotic cell cycle, and ovarian steroidogenesis.

Confidence score:

0.6841

Other information
Title:

Circular RNA expression profiling of human granulosa cells during maternal aging reveals novel transcripts associated with assisted reproductive technology outcomes.

Journal: PloS one
Published: 2017
PubMed ID: 28644873
Study type:

combined biological and clinical study

Data availability: GSE97193
Code availability: -