MassIVE MSV000100676

Partial Public PXD073865

SEC-MS characterization of KOLF2 neuronal and cardiomyocyte differentiation - CM4AI

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Description

Description: This dataset contains mass spectrometry-based proteomics data investigating the protein-protein interaction networks during the differentiation of KOLF2.1J human induced pluripotent stem cells (iPSCs). We employed Size Exclusion Chromatography coupled with Mass Spectrometry (SEC-MS) to map multiscale biological organization across three distinct stages: Parental: Undifferentiated iPSCs. NPC: Neural Progenitor Cells. Neurons: Terminally differentiated neurons. Cardio: Terminally differentiated Cardiomyocyte. The study aims to identify how protein complexes and networks are reorganized during neuronal lineage commitment and cardiomycyte differentiation. Data was acquired on a Bruker timsTOF platform, and quantitative analysis was performed using Spectronaut. Experimental Design: Sample Groups: Parental (Reps 1-4), NPC (Reps 1-2), Neuron (Reps 1-3), and Cardio (Reps 1-2). Modality: SEC-MS for protein correlation profiling. Data Processing: Raw data was processed using Spectronaut; downstream analysis was conducted in R using MSstats-compatible formats. [doi:10.25345/C55Q4S09P] [dataset license: CC0 1.0 Universal (CC0 1.0)]

Keywords: KOLF2 ; IPSC ; SEC-MS ; Neuron ; Cardiomyocyte ; DatasetType:Proteomics

Contact

Principal Investigators:
(in alphabetical order) 		Antoine Forget, UCSF, USA
Nevan J. Krogan, University of California, San Francisco, United States
Submitting User: aforget
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Distinct protein accessions are counted across all files submitted in the "Statistical Analysis of Quantified Analytes" category having a "Protein" column in this dataset.

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