2023
DOI: 10.1101/2023.03.16.532922
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Expanding the Characterization of Microbial Ecosystems using DIA-PASEF Metaproteomics

Abstract: Metaproteomics is gaining momentum in microbiome research due to the multi-dimensional information it provides. However, current approaches have reached their detection limits. We present a highly-sensitive metaproteomic workflow using the extra information captured by Parallel Accumulation-Serial Fragmentation (PASEF) technology. The comparison of different acquisition modes and data analysis software packages showed that DIA-PASEF and DIA-NN doubled protein identifications of mouse gut microbiota and, import… Show more

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Cited by 2 publications
(2 citation statements)
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“…To obtain a comprehensive and confident proteotyping of complex metaproteomic samples, we set a multi-faceted strategy combining uMetaP powered by the extra mobility dimension provided by DDA-Parallel Acquisition Serial Fragmentation 26 (DDA-PASEF), the use of pH-fractionated mouse fecal microbiome peptide samples, and a database creation pipeline including validation and rescoring at an FDR 1% level. As shown in Figure 1A, uMetaP fragmented up to 4 times more precursors across all 8 fractions compared to a similar approach using the previous generation timsTOF Pro mass spectrometer, even if the latter was used with a longer gradient and 5 times more injected peptides.…”
Section: Resultsmentioning
confidence: 99%
“…To obtain a comprehensive and confident proteotyping of complex metaproteomic samples, we set a multi-faceted strategy combining uMetaP powered by the extra mobility dimension provided by DDA-Parallel Acquisition Serial Fragmentation 26 (DDA-PASEF), the use of pH-fractionated mouse fecal microbiome peptide samples, and a database creation pipeline including validation and rescoring at an FDR 1% level. As shown in Figure 1A, uMetaP fragmented up to 4 times more precursors across all 8 fractions compared to a similar approach using the previous generation timsTOF Pro mass spectrometer, even if the latter was used with a longer gradient and 5 times more injected peptides.…”
Section: Resultsmentioning
confidence: 99%
“…Additionally, an in-house DIA-PASEF raw file was also searched against both the MetaPep peptide sequence database and the spectral library with DIA-NN [29] using default parameters to evaluate the performance of MetaPep on DIA-PASEF raw files. The methods for the acquisition of this in-house DIA-PASEF raw file were as described by Gomez-Varela et al [31] , with minor modifications as detailed in Supplementary Methods .…”
Section: Methodsmentioning
confidence: 99%