Literature DB >> 28948796

Evaluation of FASP, SP3, and iST Protocols for Proteomic Sample Preparation in the Low Microgram Range.

Malte Sielaff1, Jörg Kuharev1, Toszka Bohn1, Jennifer Hahlbrock1, Tobias Bopp1, Stefan Tenzer1, Ute Distler1.   

Abstract

Efficient and reproducible sample preparation is a prerequisite for any robust and sensitive quantitative bottom-up proteomics workflow. Here, we performed an independent comparison between single-pot solid-phase-enhanced sample preparation (SP3), filter-aided sample preparation (FASP), and a commercial kit based on the in-StageTip (iST) method. We assessed their performance for the processing of proteomic samples in the low μg range using varying amounts of HeLa cell lysate (1-20 μg of total protein). All three workflows showed similar performances for 20 μg of starting material. When handling sample sizes below 10 μg, the number of identified proteins and peptides as well as the quantitative reproducibility and precision drastically dropped in case of FASP. In contrast, SP3 and iST provided high proteome coverage even in the low μg range. Even when digesting 1 μg of starting material, both methods still enabled the identification of over 3000 proteins and between 25 000 and 30 000 peptides. On average, the quantitative reproducibility between experimental replicates was slightly higher in case of SP3 (R2 = 0.97 (SP3); R2 = 0.93 (iST)). Applying SP3 toward the characterization of the proteome of FACS-sorted tumor-associated macrophages in the B16 tumor model enabled the quantification of 2965 proteins and revealed a "mixed" M1/M2 phenotype.

Entities:  

Keywords:  bottom-up proteomics; filter-aided sample preparation (FASP); in-StageTip digestion (iST); sample preparation; single-pot solid-phase-enhanced sample preparation (SP3); tumor-associated macrophages (TAMs)

Mesh:

Year:  2017        PMID: 28948796     DOI: 10.1021/acs.jproteome.7b00433

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  59 in total

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Journal:  Nature       Date:  2019-02-27       Impact factor: 49.962

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