MGEnrichment: A web application for microglia gene list enrichment analysis.
Justin JaoAnnie Vogel CierniaPublished in: PLoS computational biology (2021)
Gene expression analysis is becoming increasingly utilized in neuro-immunology research, and there is a growing need for non-programming scientists to be able to analyze their own genomic data. MGEnrichment is a web application developed both to disseminate to the community our curated database of microglia-relevant gene lists, and to allow non-programming scientists to easily conduct statistical enrichment analysis on their gene expression data. Users can upload their own gene IDs to assess the relevance of their expression data against gene lists from other studies. We include example datasets of differentially expressed genes (DEGs) from human postmortem brain samples from Autism Spectrum Disorder (ASD) and matched controls. We demonstrate how MGEnrichment can be used to expand the interpretations of these DEG lists in terms of regulation of microglial gene expression and provide novel insights into how ASD DEGs may be implicated specifically in microglial development, microbiome responses and relationships to other neuropsychiatric disorders. This tool will be particularly useful for those working in microglia, autism spectrum disorders, and neuro-immune activation research. MGEnrichment is available at https://ciernialab.shinyapps.io/MGEnrichmentApp/ and further online documentation and datasets can be found at https://github.com/ciernialab/MGEnrichmentApp. The app is released under the GNU GPLv3 open source license.
Keyphrases
- autism spectrum disorder
- genome wide identification
- gene expression
- genome wide
- copy number
- inflammatory response
- electronic health record
- dna methylation
- neuropathic pain
- attention deficit hyperactivity disorder
- intellectual disability
- healthcare
- endothelial cells
- big data
- poor prognosis
- transcription factor
- mental health
- social media
- rna seq
- genome wide analysis
- lps induced
- spinal cord
- resting state
- data analysis
- long non coding rna