Dataset of a comparative proteomics experiment in a methylmalonyl-CoA mutase knockout HEK 293 cell model

• DOI: 10.1016/j.dib.2020.106453
• Publication Date: 2020-10-23T14:27:27Z
• Authors: Michele Costanzo; Marianna Caterino; Armando Cevenini; Vincent Jung; Cerina Chhuon; Joanna Lipecka; Roberta Fedele; Ida Chiara Guerrera; Margherita Ruoppolo
• Keywords: Methylmalonic acidemia; Mutase; HEK 293 cells; Proteome; Propionic acidemia; Knockout mouse

Methylmalonic acidemia is a rare inborn error of metabolism with severe clinical complications and poor outcome. The present data article related to proteomic investigation conducted on HEK 293 cell line which has been genetically modified using CRISPR-CAS9 system knockout the methylmalonyl-CoA mutase enzyme (MUT-KO). Thus, generated model for methylmalonic was used comparison respect wild type cells performing label-free quantification (LFQ) experiment. A between FASP S-Trap digestion methods performed protein extracts before proceed analysis samples. Four biological replicates were employed LC-MS/MS each run in technical triplicates. MaxQuant Perseus platforms perform LFQ proteomes carry out statistical analysis, respectively. Globally, 4341 proteins identified, 243 as differentially regulated, 150 down-regulated 93 up-regulated MUT-KO condition. MS proteomics have deposited ProteomeXchange Consortium dataset identifier PXD017977. information provided this shed new light cellular mechanisms altered metabolic disorder, highlighting quantitative unbalances acting structure architecture organization response stress. This can be source actors validated starting point identification clinically relevant therapeutic targets.