Proteomics

Dataset Information

0

Large collection of HeLa LFQ quality control and maintenance runs


ABSTRACT: Collection of HeLa maintenance and quality control runs for several years. The dataset was acquired to be used for exploration of deep learning models, initially in the scope of imputation. The repository for this archiv contains hints on how to use the three curated datasets and the single runs as filtered data. It provides links to the files on PRIDE.https://github.com/RasmussenLab/hela_qc_mnt_data The current pre-print of the data descriptor can be found here:https://doi.org/10.21203/rs.3.rs-3083547/v2

INSTRUMENT(S): Orbitrap Fusion Lumos, Q Exactive HF-X, Q Exactive Plus, Orbitrap Exploris 480, Q Exactive HF, Q Exactive

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Epithelial Cell, Cell Culture

DISEASE(S): Adenocarcinoma

SUBMITTER: Henry Webel  

LAB HEAD: Simon Rasmussen

PROVIDER: PXD042233 | Pride | 2023-12-12

REPOSITORIES: Pride

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Publications

Mass spectrometry-based proteomics data from thousands of HeLa control samples.

Webel Henry H   Perez-Riverol Yasset Y   Nielsen Annelaura Bach AB   Rasmussen Simon S  

Scientific data 20240123 1


Here we provide a curated, large scale, label free mass spectrometry-based proteomics data set derived from HeLa cell lines for general purpose machine learning and analysis. Data access and filtering is a tedious task, which takes up considerable amounts of time for researchers. Therefore we provide machine based metadata for easy selection and overview along the 7,444 raw files and MaxQuant search output. For convenience, we provide three filtered and aggregated development datasets on the pro  ...[more]

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