Work Description

Title: Transcriptomic Profiles of Sepsis in the Human Brain Open Access Deposited

http://creativecommons.org/licenses/by-nc/4.0/
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Methodology
  • RNA was isolated from human post-mortem parietal cortex tissue samples. RNAseq was performed by the University of Michigan Advanced Genomics core, data was QC'd and initially analysed by the University of Michigan Bioinformatics core using standardized methods. The secondary analyses was performed using R.
Description
  • This study was conducted to detect and analyze modules, or clusters of genes, associated with sepsis, using RNAseq data obtained from 12 participants who died of sepsis and 12 participants who died of non-infectious critical illness while hospitalized. This deposit contains the input data and parameters needed to reproduce the weighted gene co-expression network analysis (WGCNA) and gene enrichment analysis performed on this data. This analysis requires the R packages "WGCNA" version 1.68 and "DESeq2" version 1.22.2 available for download from bioconductor ( http://bioconductor.org). The external bioinformatics tool DAVID version 6.8 ( https://david.ncifcrf.gov/) was used as an additional gene enrichment analysis. Please see the supplemental methods document within this deposit and published research letter for more detailed information.
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Depositor
  • asovinsk@umich.edu
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Funding agency
  • National Institutes of Health (NIH)
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Last modified
  • 11/26/2019
Published
  • 11/26/2019
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To Cite this Work:
Bustamante, A., Opron, K., Ehlenbach, W., Crane, P., Keene, D., Standiford, T., Singer, B. (2019). Transcriptomic Profiles of Sepsis in the Human Brain [Data set]. University of Michigan - Deep Blue. https://doi.org/10.7302/6fv8-bv53

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