Dataset Information

Evaluation of proteomics workflows for the quantification of (small) proteins

ABSTRACT: Quantitative information on protein abundance is crucial to understand biological processes and is therefore frequently gathered in proteomic studies. However, the quality of a quantitative proteomic dataset is greatly affected by the number of missing values, which need to be minimized to produce robust and meaningful data. In this context, small proteins (≤100 amino acids) pose specific analytical challenges which hinder their efficient identification and quantitative characterization in complex proteomes. In this study, methods for sample preparation and MS-data processing are systematically evaluated for their contribution to identification and quantification of small proteins of C. difficile 630 Δerm.

INSTRUMENT(S):

ORGANISM(S): Peptoclostridium Difficile (strain 630) (clostridium Difficile)

SUBMITTER: Sandra Maass

LAB HEAD: Dörte Becher

PROVIDER: PXD065346 | Pride | 2026-01-19

REPOSITORIES: Pride

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Dataset's files

Source:

			Action	DRS
	160811_CDiff630-derm_newAnnotation160603_genericHeader.fasta	Fasta
	160811_CDiff630-derm_newAnnotation160603_genericHeader_synthProteins.fasta	Fasta
	211124_OV3_P5_PG_CWi_JB_Cdiff_BHI_SPE_01.raw	Raw
	211124_OV3_P5_PG_CWi_JB_Cdiff_BHI_SPE_02.raw	Raw
	211124_OV3_P5_PG_CWi_JB_Cdiff_BHI_SPE_03.raw	Raw

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Evaluation of proteomics workflows for the quantification of (small) proteins

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