Proteomics

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Characterization of Citrullination Sites in Neutrophils and Mast Cells Activated by Ionomycin via Integration of Mass Spectrometry and Machine Learning


ABSTRACT: Citrullination is an important post-translational modification implicated in many diseases including rheumatoid arthritis (RA), Alzheimer's disease and cancer. Neutrophil and mast cells have different protein-arginine deiminases expression profile and ionomycin induced activation make them the ideal cellular models to study proteins susceptible to citrullination. We performed high resolution mass spectrometry and stringent data filtration to identify citrullination sites in neutrophil and mast cells treated with and without ionomycin. We identified a total of 831 validated citrullination sites on 393 proteins. Several of these citrullinated proteins are important component of pathways involved in innate immune responses. Using this benchmark primary sequence dataset, we developed machine learning models to predict citrullination in neutrophil and mast cells proteins. Our neutrophil protein citrullination prediction model achieved greater than 76% accuracy and 0.39 Matthews correlation coefficient (MCC) on an independent validation set. In summary, this study provides the largest number of validated citrullination sites in neutrophil and mast cell proteins. The use of our novel motif analysis approach to predict citrullination sites will facilitate the discovery of novel protein substrates of protein-arginine deiminases (PADs), which may be key to understanding immunopathologies of various diseases.

INSTRUMENT(S): Orbitrap Fusion

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Leukocyte, Cell Culture

SUBMITTER: Raghothama Chaerkady  

LAB HEAD: Sonja Hess

PROVIDER: PXD023131 | Pride | 2022-01-12

REPOSITORIES: Pride

Dataset's files

Source:
Action DRS
M005C.raw Raw
M005I.raw Raw
M006C.raw Raw
M006I.raw Raw
M007C.raw Raw
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Publications

Characterization of Citrullination Sites in Neutrophils and Mast Cells Activated by Ionomycin via Integration of Mass Spectrometry and Machine Learning.

Chaerkady Raghothama R   Zhou Yebin Y   Delmar Jared A JA   Weng Shao Huan Samuel SHS   Wang Junmin J   Awasthi Shivangi S   Sims Dorothy D   Bowen Michael A MA   Yu Wen W   Cazares Lisa H LH   Sims Gary P GP   Hess Sonja S  

Journal of proteome research 20210519 6


Citrullination is an important post-translational modification implicated in many diseases including rheumatoid arthritis (RA), Alzheimer's disease, and cancer. Neutrophil and mast cells have different expression profiles for protein-arginine deiminases (PADs), and ionomycin-induced activation makes them an ideal cellular model to study proteins susceptible to citrullination. We performed high-resolution mass spectrometry and stringent data filtration to identify citrullination sites in neutroph  ...[more]

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