Evidence map›Paper›PMID 23334993›Full record

ArticleElectrophoresis2013

Reproducible method to enrich membrane proteins with high purity and high yield for an LC-MS/MS approach in quantitative membrane proteomics.

Xianyin Lai

Abstract read
In one paragraph

Article in Electrophoresis, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
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

16 citing papers in PubMed.

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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

1 author.

Xianyin LaiDepartment of Cellular and Integrative Physiology, Indiana University School of Medicine, Indianapolis, IN 46202, USA. xlai@iupui.edu

Funding

Nanoparticle Effects on Epithelial Cell Protein Expression and FunctionR01GM085218 · NIGMS · INDIANA UNIVERSITY INDIANAPOLIS · PI WITZMANN, FRANK A · 2008 to 2012
$2.1M
Characterization Methodologies & Proteomics to Assess Carbon Nanotube ExposureRC2ES018810 · NIEHS · INDIANA UNIVERSITY INDIANAPOLIS · PI MITRA, SOMENATH, WITZMANN, FRANK A · 2009 to 2012
$1.5M
NIEHS NIH HHS RC2 ES018810NIEHS NIH HHS RC2ES018810NIGMS NIH HHS R01 GM085218NIGMS NIH HHS R01GM085218
6 · The paper itself

Abstract

The proportionately low abundance of membrane proteins hampers their proteomic analysis, especially for a quantitative LC-MS/MS approach. To overcome this limitation, a method was developed that consists of one cell disruption step in a hypotonic reagent using liquid nitrogen, one isolation step using a low speed centrifugation, and three wash steps using high speed centrifugation. Pellets contained plasma, nuclear, and mitochondrial membranes, including their integral, peripheral, and anchored membrane proteins. The reproducibility of this method was verified by protein assay of four separate experiments with a CV of 7.7%, and by comparative LC-MS/MS label-free quantification of individual proteins between two experiments with 99% of the quantified proteins having a CV ≤30%. Western blot and LC-MS/MS results of markers for cytoplasm, nucleus, mitochondria, and their membranes indicated that the enriched membrane fraction was highly pure by the absence of, or presence of trace amounts of, nonmembrane marker proteins. The average yield of membrane proteins was 237 μg/10 million HT29-MTX cells. LC-MS/MS analysis of the membrane-enriched sample resulted in the identification of 2597 protein groups. In summary, the developed method is reproducible, produces a highly pure membrane fraction, and generates a high yield of membrane proteins.

Indexed as

BiomarkersBlotting, WesternCell LineCell MembraneCentrifugationChromatography, High Pressure LiquidElectrophoresis, Polyacrylamide GelFreezingHumansMembrane ProteinsProteomicsReproducibility of ResultsTandem Mass SpectrometryBiomarkersMembrane Proteins

Identifiers

PMID23334993
PMCPMC3749515

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Registered trials

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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.