Bioinformatics analysis of omics data

CC Claudia Di Carlo
BS Bebiana C. Sousa
MM Marcello Manfredi
JB Jessica Brandi
EP Elisa Dalla Pozza
EM Emilio Marengo
MP Marta Palmieri
ID Ilaria Dando
MW Michael J. O. Wakelam
AL Andrea F. Lopez-Clavijo
DC Daniela Cecconi
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Bioinformatics analysis of proteomic data was performed as previously described52. Briefly, to characterize the function of proteins, gene ontology (GO) annotation, KEGG and Reactome pathways enrichment analyses were performed using STRING v.11.0 (http://string-db.org)53. The differentially expressed proteins were analysed for candidate functions and pathways enrichment, setting Homo sapiens as taxonomy, p < 0.05 and gene count > 2 as cut-off point.

Lipid profile levels obtained from the four PCSCs and P cells were loaded into an open access tool BioPAN, on LIPID MAPS Lipidomics Gateway (https://lipidmaps.org/biopan/)54. BioPAN provides Z-scores (Z > 1.645 at p < 0.05) using substrate and product lipid levels and integrate a list of genes, which could be involved in the activation or suppression of enzymes catalysing lipid metabolic pathways.

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