Dataset Information

Implementation of data-independent acquisition mass spectrometry in metaproteomics of gut microbiota

ABSTRACT: A novel approach for metaproteomics that utilizes data independent acquisition (DIA) mass spectrometry which enables accurate and consistent quantification of peptides from samples with a complex microbial composition.

INSTRUMENT(S): Q Exactive

ORGANISM(S): Homo Sapiens (human)

SUBMITTER: Sami Pietila

LAB HEAD: Laura Elo

PROVIDER: PXD008738 | Pride | 2019-11-25

REPOSITORIES: Pride

ACCESS DATA

Dataset's files

Source:

			Action	DRS
	12mix-DIA-peptide-matrix.tsv	Tabular
	12mix.peps.xml	Xml
	160822_8Mix_DDA_6ul_01.raw	Raw
	160822_8Mix_DDA_6ul_02.raw	Raw
	160822_8Mix_DDA_6ul_03.raw	Raw

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Publications

Data-Independent Acquisition Mass Spectrometry in Metaproteomics of Gut Microbiota-Implementation and Computational Analysis.

Aakko Juhani J Pietilä Sami S Suomi Tomi T Mahmoudian Mehrad M Toivonen Raine R Kouvonen Petri P Rokka Anne A Hänninen Arno A Elo Laura L LL

Journal of proteome research 20191204 1

Metagenomic approaches focus on taxonomy or gene annotation but lack power in defining functionality of gut microbiota. Therefore, metaproteomics approaches have been introduced to overcome this limitation. However, the common metaproteomics approach uses data-dependent acquisition mass spectrometry, which is known to have limited reproducibility when analyzing samples with complex microbial composition. In this work, we provide a proof of concept for data-independent acquisition (DIA) metaprote ...[more]

PMID: 31755272

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