Evidence map›Paper›PMID 35684327›Full record

ArticleMolecules (Basel, Switzerland)2022

Comparing Efficiency of Lysis Buffer Solutions and Sample Preparation Methods for Liquid Chromatography-Mass Spectrometry Analysis of Human Cells and Plasma.

Lasse Neset, Gracious Takayidza, Frode S Berven, Maria Hernandez-Valladares

Open access · goldAbstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.2field-weighted citation impact, top 24% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 13 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 2 countries.

Lasse NesetThe Department of Biomedicine, University of Bergen, Jonas Lies vei 91, 5009 Bergen, Norway.ORCID 0000-0003-2016-4486
Gracious TakayidzaThe Department of Biomedicine, University of Bergen, Jonas Lies vei 91, 5009 Bergen, Norway.ORCID 0000-0002-9133-8570
Frode S BervenThe Department of Biomedicine, University of Bergen, Jonas Lies vei 91, 5009 Bergen, Norway.
Maria Hernandez-ValladaresThe Department of Biomedicine, University of Bergen, Jonas Lies vei 91, 5009 Bergen, Norway.ORCID 0000-0001-9347-7841
University of Bergen · NOUniversidad de Granada · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The use of a proper sample processing methodology for maximum proteome coverage and high-quality quantitative data is an important choice to make before initiating a liquid chromatography-mass spectrometry (LC-MS)-based proteomics study. Popular sample processing workflows for proteomics involve in-solution proteome digestion and single-pot, solid-phase-enhanced sample preparation (SP3). We tested them on both HeLa cells and human plasma samples, using lysis buffers containing SDS, or guanidinium hydrochloride. We also studied the effect of using commercially available depletion mini spin columns before SP3, to increase proteome coverage in human plasma samples. Our results show that the SP3 protocol, using either buffer, achieves the highest number of quantified proteins in both the HeLa cells and plasma samples. Moreover, the use of depletion mini spin columns before SP3 results in a two-fold increase of quantified plasma proteins. With additional fractionation, we quantified nearly 1400 proteins, and examined lower-abundance proteins involved in neurodegenerative pathways and mitochondrial metabolism. Therefore, we recommend the use of the SP3 methodology for biological sample processing, including those after depletion of high-abundance plasma proteins.

Indexed as

ProteomeSpecimen HandlingChromatography, LiquidHeLa CellsHumansMass SpectrometryProteomecellsdepletionguanidinium hydrochloridein-solution digestionliquid chromatography–mass spectrometryplasmaproteomicssingle-potsodium dodecyl sulfatesolid-phase-enhanced sample preparation

Identifiers

PMID35684327
PMCPMC9181984
OpenAlexW4281560120

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.