ArticleData in brief2020
Dataset of a comparative proteomics experiment in a methylmalonyl-CoA mutase knockout HEK 293 cell model.
Article in Data in brief, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed, 28 citations in OpenAlex.
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- Methylmalonic acidemia triggers lysosomal-autophagy dysfunctions.Cell & bioscience · 2024Article
- Protein interaction networks characterizing the A549 cells Klotho transfected are associated with activated pro-apoptotic Bim and suppressed Wnt/β-catenin signaling pathway.Scientific reports · 2024Article
- Proteomics and Metabolomics in Biomedicine.International journal of molecular sciences · 2023Article
- Targeted lipidomics data of COVID-19 patients.Data in brief · 2023Article
- Bottom-Up Proteomics: Advancements in Sample Preparation.International journal of molecular sciences · 2023Review
- Lipidomic alterations in human saliva from cystic fibrosis patients.Scientific reports · 2023Article
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- Sex differences in the human metabolome.Biology of sex differences · 2022Review
- Proteome data of neuroblastoma cells overexpressing Neuroglobin.Data in brief · 2022Article
- COVIDomics: The Proteomic and Metabolomic Signatures of COVID-19.International journal of molecular sciences · 2022Review
- Article
- The Serum Metabolome of Moderate and Severe COVID-19 Patients Reflects Possible Liver Alterations Involving Carbon and Nitrogen Metabolism.International journal of molecular sciences · 2021Article
- Proteomic and Bioinformatic Investigation of Altered Pathways in Neuroglobin-Deficient Breast Cancer Cells.Molecules (Basel, Switzerland) · 2021Article
Corrections and comments
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Authors and funding
9 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Methylmalonic acidemia is a rare inborn error of metabolism with severe clinical complications and poor outcome. The present data article is related to a proteomic investigation conducted on a HEK 293 cell line which has been genetically modified using CRISPR-CAS9 system to knockout the methylmalonyl-CoA mutase enzyme (MUT-KO). Thus, the generated cell model for methylmalonic acidemia was used for a proteomic comparison with respect to HEK 293 wild type cells performing a label-free quantification (LFQ) experiment. A comparison between FASP and S-Trap digestion methods was performed on protein extracts before to proceed with the proteomic analysis of the samples. Four biological replicates were employed for LC-MS/MS analysis and each was run in technical triplicates. MaxQuant and Perseus platforms were used to perform the LFQ of the proteomes and carry out statistical analysis, respectively. Globally, 4341 proteins were identified, and 243 as differentially regulated, of which 150 down-regulated and 93 up-regulated in the MUT-KO condition. MS proteomics data have been deposited to the ProteomeXchange Consortium with the dataset identifier PXD017977. The information provided in this dataset shed new light on the cellular mechanisms altered in this rare metabolic disorder, highlighting quantitative unbalances in proteins acting in cell structure and architecture organization and response to the stress. This article can be used as a new source of protein actors to be validated and a starting point for the identification of clinically relevant therapeutic targets.
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