Proteomics

Dataset Information

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Stable Isotope Labelling with Amino Acids in Cell Culture – Size Exclusion Chromatography – Mass Spectrometry


ABSTRACT: Most proteins execute their functions through interacting with other macromolecules, and protein complexes formed by organized protein-protein interactions represent a primary functional module in the cells. Recently, People combine several proteomic techniques including cell fractionation, protein chromatography, and quantitative mass spectrometry (MS) to analyze the study composition and dynamics of protein complexes. To quantify the change of protein complex by this method, we combine it with the SILAC technique to detect the difference between different isotope-labeling samples. Here we harvest Saccharomyces cerevisiae cells in heavy, medium, and light labeling mediums. Then, extract the protein from cell pellets and separate it into 27 fractions by Size-exclusion chromatography. Using LC-MS/MS to detect protein from each fraction for doing protein complexes analysis

INSTRUMENT(S):

ORGANISM(S): Saccharomyces Cerevisiae (baker's Yeast)

SUBMITTER: chien fu liu  

LAB HEAD: Jun Yi Leu

PROVIDER: PXD031967 | Pride | 2025-11-17

REPOSITORIES: Pride

Dataset's files

Source:
Action DRS
2019-1126_Yeast-F1.raw Raw
2019-1126_Yeast-F10.raw Raw
2019-1126_Yeast-F11.raw Raw
2019-1126_Yeast-F11re.raw Raw
2019-1126_Yeast-F12.raw Raw
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Publications

Complete end-to-end learning from protein feature representation to protein interactome inference.

Chen Yu-Hsin YH   Liu Chien-Fu CF   Leu Jun-Yi JY   Tsai Huai-Kuang HK  

GigaScience 20250101


<h4>Background</h4>Co-fractionation coupled with mass spectrometry (CF-MS) is a powerful strategy for mapping protein-protein interactions (PPIs) under near-physiological conditions. Despite recent progress, existing analysis pipelines remain constrained by reliance on handcrafted features, sensitivity to experimental noise, and an inherent focus on pairwise interactions, which limit their scalability and generalizability. To address these difficulties, we introduce FREEPII (Feature Representati  ...[more]

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