Deciphering the link between Diabetes mellitus and SARS-CoV-2 infection through differential targeting of microRNAs in the human pancreas
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SciScore for 10.1101/2021.03.31.437823: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
NIH rigor criteria are not applicable to paper type.Table 2: Resources
Software and Algorithms Sentences Resources For the study, three mock-infected and three SARS-CoV-2-infected hESC pancreatic tissue samples were chosen from the Gene Expression Omnibus (GEO) dataset accession, GSE151803 [19]. Gene Expression Omnibussuggested: (Gene Expression Omnibus (GEO, RRID:SCR_005012)The Differentially Expressed Genes (DEGs) between the mock-infected and the SARS-CoV-2-infected pancreatic tissue were obtained using the DESeq2 R package (padj < 0.05 and |log2FC| > 1) [20, 21]. DESeq2suggested: (DESeq, RRID:SCR_000154)Disease enrichment analysis: DEGs-based disease enrichment analysis was done through DAVID – … SciScore for 10.1101/2021.03.31.437823: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
NIH rigor criteria are not applicable to paper type.Table 2: Resources
Software and Algorithms Sentences Resources For the study, three mock-infected and three SARS-CoV-2-infected hESC pancreatic tissue samples were chosen from the Gene Expression Omnibus (GEO) dataset accession, GSE151803 [19]. Gene Expression Omnibussuggested: (Gene Expression Omnibus (GEO, RRID:SCR_005012)The Differentially Expressed Genes (DEGs) between the mock-infected and the SARS-CoV-2-infected pancreatic tissue were obtained using the DESeq2 R package (padj < 0.05 and |log2FC| > 1) [20, 21]. DESeq2suggested: (DESeq, RRID:SCR_000154)Disease enrichment analysis: DEGs-based disease enrichment analysis was done through DAVID – Functional Annotation Tool considering the Gene-Disease Associations Dataset (GAD) [22, 23]. DAVIDsuggested: (DAVID, RRID:SCR_001881)Differentially targeting miRNAs: The complete genome reference sequence of SARS-CoV-2, Wuhan-Hu-1, was retrieved from NCBI RefSeq ID, NC_045512.2 [28]. RefSeqsuggested: (RefSeq, RRID:SCR_003496)The human miRNAs targeting the 3’ and 5’ UTR of the SARS-CoV-2 genome (CoV-tar-miRNAs) were obtained using the miRDB online tool [29, 30]. miRDBsuggested: (miRDB, RRID:SCR_010848)The target genes of CoV-tar-miRNAs were obtained using the Predicted Target Module of miRWalk 2.0 [31, 32]. miRWalksuggested: (miRWalk, RRID:SCR_016509)Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.Results from TrialIdentifier: No clinical trial numbers were referenced.
Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
Results from JetFighter: We did not find any issues relating to colormaps.
Results from rtransparent:- Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
- Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
- No protocol registration statement was detected.
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