Dataset Information

Phosphoproteomics of C2C12 differentiation

ABSTRACT: Phosphoproteomic analysis of myogenesis in C2C12 myoblasts differentiating into myotubes. Four time points were analysed (0min, 30min, 24h and 5d) with four biological replicates.

INSTRUMENT(S): Q Exactive HF-X

ORGANISM(S): Mus Musculus (mouse)

TISSUE(S): Skeletal Muscle Myoblast

SUBMITTER: Benjamin Parker

LAB HEAD: Benjamin Parker

PROVIDER: PXD023413 | Pride | 2024-01-26

REPOSITORIES: Pride

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Dataset's files

Source:

			Action	DRS
	200220_-_C2C12_Diff_time_course_plate_layout.xlsx	Xlsx
	20200422_QEHFX4_C2C12diff_phosV2_A12.raw	Raw
	20200422_QEHFX4_C2C12diff_phosV2_A7.raw	Raw
	20200422_QEHFX4_C2C12diff_phosV2_B12.raw	Raw
	20200422_QEHFX4_C2C12diff_phosV2_B7.raw	Raw

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Publications

SnapKin: a snapshot deep learning ensemble for kinase-substrate prediction from phosphoproteomics data.

Xiao Di D Lin Michael M Liu Chunlei C Geddes Thomas A TA Burchfield James G JG Parker Benjamin L BL Humphrey Sean J SJ Yang Pengyi P

NAR genomics and bioinformatics 20231106 4

A major challenge in mass spectrometry-based phosphoproteomics lies in identifying the substrates of kinases, as currently only a small fraction of substrates identified can be confidently linked with a known kinase. Machine learning techniques are promising approaches for leveraging large-scale phosphoproteomics data to computationally predict substrates of kinases. However, the small number of experimentally validated kinase substrates (true positive) and the high data noise in many phosphopro ...[more]

PMID: 37954574

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