Detail Information

Basic Information:


  VIRBase ID:  

HHID00105404

  Virus:  

SARS-CoV-2

  Host:  

Homo sapiens

  Confidence Score:  

0.2494

  Interaction Type:  

Host-Host interaction

  Predicted Binding:

 

      hsa-miR-6838-5p:           CXCL10:      

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Interactor Information:


Interactor1 Interactor2
Symbol hsa-miR-6838-5p CXCL10
miRBase
Accession/Entrez ID		 MIMAT0027578 3627
Organism Homo sapiens Homo sapiens
Category miRNA mRNA
Alias - C7//crg-2//gIP-10//IFI10//INP10//IP-10//mob-1//SCYB10

ncRNA SNP information:


Resource Symbol SNP ID SNP Position Ref/Alt
miRNASNP-v3 hsa-miR-6838-5p
rs1205808189 chr7:44073407    A/C
rs371781736 chr7:44073418    C/T
rs751888110 chr7:44073420    C/T
rs753102782 chr7:44073409    G/A
rs758875815 chr7:44073417    C/T
rs765795529 chr7:44073408    G/T
rs780900350 chr7:44073415    TG/T
rs1213110604 chr7:44073425    G/A
rs1272760287 chr7:44073423    C/T

RNA Modification:


Resource Symbol ModificationPosition Type Genomic Context PMID
RMBase CXCL10
chr4:76942319-76942320(-) m6A 3'UTR       27773535

RNA Localization:


Resource Symbol Subcellular Localization Tissue or Cell Line PMID
RNALocate hsa-miR-6838-5p
Exosome Breast milk|Cell lines|Epididymal epithelial cells|Osteoblast|Plasma|Primary glioblastoma neurosphere cells|Primary keratinocyte|Saliva|Serum|Urine     -
Microvesicle Cell lines(GBM46|GBM8|HaCaT|K562|MCF-10A|MCF-7|MGG75)|Plasma|Primary glioblastoma neurosphere cells|Primary keratinocytes     -
CXCL10
Exosome Blood     -

Interaction Network (The top 100 interactions):


Interactor1: hsa-miR-6838-5p
Interactor2: CXCL10

Evidence Support:


Prediction-Evidence microT//miRanda//miRMap//PicTar//PITA//Targetscan
Support Database ViRBase

References:


PMID 33428154 Target region None
Source ViRBase Interactor1 expression None
Tissue or cell line None Interactor2 expression None
Description To explore the regulatory relationship between the 5 key genes, 3 coronavirus-related genes (ACE2, TMPRSS2, BSG), and their target miRNA, we used 6 miRNA target prediction databases to predict the target miRNA of these genes.

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