Multi-PTM Proteomics in Pancreatic Beta Cells
Author Information
Author(s): Gluth Austin, Li Xiaolu, Gritsenko Marina A., Gaffrey Matthew J., Kim Doo Nam, Lalli Priscila M., Chu Rosalie K., Day Nicholas J., Sagendorf Tyler J., Monroe Matthew E., Feng Song, Liu Tao, Yang Bin, Qian Wei-Jun, Zhang Tong
Primary Institution: Pacific Northwest National Laboratory
Hypothesis
The study investigates the dynamic regulation of protein post-translational modifications (PTMs) in cytokine-treated pancreatic beta cells.
Conclusion
The integrative SP3-based workflow allows for high-throughput profiling of multiple PTMs, revealing complex regulatory dynamics in response to cytokine treatment.
Supporting Evidence
- The SP3 method is compatible with proteomics analysis of cysteine thiol oxidation.
- An automated SP3-based workflow facilitates high-throughput multi-PTM profiling.
- Cytokines induce time-dependent regulation of protein abundance and PTMs.
- The interplay of thiol oxidation, phosphorylation, and acetylation was observed on selected proteins.
Takeaway
Researchers developed a new method to study how proteins change in response to stress in pancreatic cells, helping us understand diabetes better.
Methodology
The study utilized an automated SP3 workflow for sample preparation and quantification of protein abundance, cysteine thiol oxidation, phosphorylation, and acetylation.
Potential Biases
The study notes that batch effects may lead to missing data in PTM quantification.
Limitations
The study acknowledges potential biases in PTM coverage and the effects of NEM alkylation on different PTMs.
Participant Demographics
The study used mouse pancreatic beta cells (β-TC-6) for experiments.
Statistical Information
P-Value
p<0.05
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
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