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CLC and SARS are reported together in 2 articles.
Gene
CLC
- HGNC
- HGNC:2014
4articles
4mentions
0variants with confirmed gene link
Most co-reported phenotypes (articles)
Phenotype
SARS
347articles
347mentions
12co-reported genes shown
Most co-reported genes (articles)
Counts are literature co-mentions in SaudiVarKB, not clinical or causal assertions. Gene details: HGNC; variant status: ClinVar via dbSNP.
Publications
2 records shown · first 60Deciphering SARS CoV-2-associated pathways from RNA sequencing data of COVID-19-infected A549 cells and potential therapeutics using in silico methods.
PMID 36107502 | PMCID PMC9439635 | DOI 10.1097/MD.0000000000029554 · Medicine · 2022 · 6 validated mentions
Evidence preview
| Type | Entity | Source evidence | Confidence | Extractor |
|---|---|---|---|---|
| gene | CLC | “METHODS: Here, next-generation RNA sequencing (RNA Seq) data were obtained using Illumina Next Seq 500 from SARS CoV-infected A549 cells and mock-treated A549 cells from the Gene Expression Omnibus (GEO) (GSE147507), and quality control (QC) was assessed before RNA Seq analysis using CLC Genomics Workbench 20.0.” | 0.98 | hgnc_dict_v1 |
| phenotype | SARS | “Deciphering SARS CoV-2-associated pathways from RNA sequencing data of COVID-19-infected A549 cells and potential therapeutics using in silico methods.” | 0.98 | phenotype_alias_lexicon_v2 |
| gene | STAT2 | “RESULTS: Here, we identified the potential activation of upstream regulators such as signal transducer and activator of transcription 2 (STAT2), interferon regulatory factor 9 (IRF9), and interferon beta (IFNβ), interleukin-1 beta (IL-1β), and interferon regulatory factor 3 (IRF3).” | 0.98 | hgnc_dict_v1 |
| gene | IRF9 | “RESULTS: Here, we identified the potential activation of upstream regulators such as signal transducer and activator of transcription 2 (STAT2), interferon regulatory factor 9 (IRF9), and interferon beta (IFNβ), interleukin-1 beta (IL-1β), and interferon regulatory factor 3 (IRF3).” | 0.98 | hgnc_dict_v1 |
Identification of Novel Gene Signatures using Next-Generation Sequencing Data from COVID-19 Infection Models: Focus on Neuro-COVID and Potential Therapeutics.
PMID 34531741 | PMCID PMC8438179 | DOI 10.3389/fphar.2021.688227 · Frontiers in pharmacology · 2021 · 6 validated mentions
Evidence preview
| Type | Entity | Source evidence | Confidence | Extractor |
|---|---|---|---|---|
| gene | CLC | “Here, we used the raw RNA-seq reads (Single-End) in quadruplicates derived using Illumina Next Seq 500 from SARS-CoV-infected primary human bronchial epithelium (NHBE) and mock-treated NHBE cells obtained from the Gene Expression Omnibus (GEO) (GSE147507), and the quality control (QC) was evaluated using the CLC Genomics Workbench 20.0 (Qiagen, United States) before the RNA-seq analysis using BioJupies web tool and iPathwayGuide for gene ontologies (GO), pathways, upstream regulator genes, small molecules, and natural products.” | 0.98 | hgnc_dict_v1 |
| phenotype | SARS | “SARS-CoV-2 is the causative agent for coronavirus disease-19 (COVID-19) and belongs to the family Coronaviridae that causes sickness varying from the common cold to more severe illnesses such as severe acute respiratory syndrome, sudden stroke, neurological complications (Neuro-COVID), multiple organ failure, and mortality in some patients.” | 0.93 | phenotype_alias_lexicon_v2 |
| gene | CDS2 | “L1000 fireworks display (L1000FWD) and L1000 characteristic direction signature search engine (L1000 CDS2) web tools were used to uncover the small molecules that could potentially reverse the COVID-19 and Neuro-COVID-associated gene signatures.” | 0.98 | hgnc_dict_v1 |
| phenotype | COVID-19 | “Identification of Novel Gene Signatures using Next-Generation Sequencing Data from COVID-19 Infection Models: Focus on Neuro-COVID and Potential Therapeutics.” | 0.98 | phenotype_alias_lexicon_v2 |