Proteomics

Dataset Information

0

ChipFilter: Microfluidic Based Comprehensive Sample Preparation Methodology for Metaproteomics


ABSTRACT: Here, we show that a ChipFilter microfluidic device coupled to LC-MS/MS can successfully be used for identification of microbial proteins. Using cultures of E. coli, B. subtilis and S. cerevisiae, we have shown that it is possible to directly lyse the cells and digest the proteins in the ChipFilter to allow higher number of proteins and peptides identification than standard protocols, even at low cell density. The peptides produced are overall longer after ChipFilter digestion but show no change in their degree of hydrophobicity. Analysis of a more complex mixture of 17 species from the gut microbiome showed that the ChipFilter preparation was able to identify and estimate the amount of 16 of these species.

INSTRUMENT(S): Q Exactive HF

ORGANISM(S): Escherichia Coli Saccharomyces Cerevisiae (baker's Yeast)

SUBMITTER: Yann Verdier  

LAB HEAD: Joelle Vinh

PROVIDER: PXD039581 | Pride | 2024-05-24

REPOSITORIES: Pride

Dataset's files

Source:
Action DRS
10E2.msf Msf
10E6.msf Msf
Bsub_thesis_.msf Msf
Ecoli_thesis.msf Msf
Faeces.msf Msf
Items per page:
1 - 5 of 58
altmetric image

Publications

ChipFilter: Microfluidic-Based Comprehensive Sample Preparation Methodology for Microbial Consortia.

Ravi Kumar Ranjith Kumar RK   Ndiaye Massamba Mbacke MM   Haddad Iman I   Vinh Joelle J   Verdier Yann Y  

Journal of proteome research 20240214 3


The metaproteomic approach is an attractive way to describe a microbiome at the functional level, allowing the identification and quantification of proteins across a broad dynamic range as well as the detection of post-translational modifications. However, it remains relatively underutilized, mainly due to technical challenges that should be addressed, including the complexity of extracting proteins from heterogeneous microbial communities. Here, we show that a ChipFilter microfluidic device cou  ...[more]

Similar Datasets

2014-09-24 | E-GEOD-51726 | biostudies-arrayexpress
2021-07-15 | E-MTAB-8681 | biostudies-arrayexpress
2014-12-03 | E-GEOD-63781 | biostudies-arrayexpress
2011-11-23 | E-GEOD-33905 | biostudies-arrayexpress
2021-05-04 | PXD022474 | Pride
2016-07-02 | E-GEOD-83967 | biostudies-arrayexpress
2024-05-27 | PXD050781 | Pride
2015-07-03 | E-GEOD-64864 | biostudies-arrayexpress
2015-07-03 | E-GEOD-64862 | biostudies-arrayexpress
2021-09-07 | PXD027185 | Pride