Literature DB >> 33011348

Adding polyvinylpyrrolidone to low level protein samples significantly improves peptide recovery in FASP digests: An inexpensive and simple modification to the FASP protocol.

Tammy-Lynn Tremblay1, Jennifer J Hill2.   

Abstract

Filter-aided sample preparation (FASP) remains a popular choice for proteomic sample preparation, particularly for its ability to produce a 'clean' peptide sample clear of large molecule contaminants. However, sample loss continues to be a problem particularly for sample inputs that contain less than ten micrograms of protein. Here, we describe that the simple addition of a polymer, polyvinylpyrrolidone-40 (PVP-40) to the protein sample prior to FASP digest significantly improves peptide recovery and identifications, especially with lower level sample inputs. PVP-FASP produces clean samples which required no additional sample clean-up prior to nanoLC-MS analysis. In addition, PVP-FASP is compatible with other FASP modifications, including the use of sodium deoxycholate (DOC) to improve trypsin digestion. SIGNIFICANCE: Simple modification to FASP procedure improves sample recovery during proteomic digests in SDS, improving peptide identifications and median peptide intensity.
Copyright © 2020. Published by Elsevier B.V.

Entities:  

Keywords:  Filter-aided sample preparation; Polyvinylpyrrolidone; Proteomics; Sample preparation

Mesh:

Substances:

Year:  2020        PMID: 33011348     DOI: 10.1016/j.jprot.2020.104000

Source DB:  PubMed          Journal:  J Proteomics        ISSN: 1874-3919            Impact factor:   4.044


  2 in total

1.  Well-Plate μFASP for Proteomic Analysis of Single Pancreatic Islets.

Authors:  Friederike A Sandbaumhüter; Mariya Nezhyva; Olle Eriksson; Adam Engberg; Johan Kreuger; Per E Andrén; Erik T Jansson
Journal:  J Proteome Res       Date:  2022-03-16       Impact factor: 4.466

2.  Toward Zero Variance in Proteomics Sample Preparation: Positive-Pressure FASP in 96-Well Format (PF96) Enables Highly Reproducible, Time- and Cost-Efficient Analysis of Sample Cohorts.

Authors:  Stefan Loroch; Dominik Kopczynski; Adriana C Schneider; Cornelia Schumbrutzki; Ingo Feldmann; Eleftherios Panagiotidis; Yvonne Reinders; Roman Sakson; Fiorella A Solari; Alicia Vening; Frauke Swieringa; Johan W M Heemskerk; Maria Grandoch; Thomas Dandekar; Albert Sickmann
Journal:  J Proteome Res       Date:  2022-03-22       Impact factor: 4.466

  2 in total

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