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Pro-regenerative fingerprints identified in a sub-population of adult mouse cardiomyocytes by integrative single-cell proteomics-Pilot dataset

ABSTRACT: We present a new experimental and computational workflow to analyze single-cell proteomics data applied to single-cardiomyocytes. By using an optimized isolation procedure and by taking advantage of the integrative capabilities of iSanXoT application, we eliminate batch effects, minimize cell size-related biases, obtain quantitative subcellular compartment information and detect protein alterations within subcellular compartments. This approach enhances data quantification accuracy and facilitates biological interpretation. We show that the overexpression of the Myc transcription factor switches the metabolism of adult cardiomyocytes and establishes a subpopulation of pro-regenerative cardiomyocytes. The reported advances validate the used workflow for the systematyic analysis of single-cell proteomics data and shows its application in defining subpopulations of cells that may be prompt to regenerate based on their proteomic signature.

INSTRUMENT(S):

ORGANISM(S): Mus Musculus (mouse)

TISSUE(S): Heart, Cardiac Muscle Cell

SUBMITTER: Consuelo Marín-Vicente

LAB HEAD: Jesús Vázquez

PROVIDER: PXD064499 | Pride | 2026-04-06

REPOSITORIES: Pride

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			Action	DRS
	20220323_SST_cnic_SCP_1.mzML	Mzml
	20220323_SST_cnic_SCP_1.mzid	Mzid
	20220323_SST_cnic_SCP_1.raw	Raw
	20220323_SST_cnic_SCP_10.mzML	Mzml
	20220323_SST_cnic_SCP_10.mzid	Mzid

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Pro-regenerative fingerprints identified in a sub-population of adult mouse cardiomyocytes by integrative single-cell proteomics-Analytical dataset

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