Evidence map›Paper›PMID 39626776›Full record

ArticleOpen biology2024

Evaluating the efficacy of protein quantification methods on membrane proteins.

Jana Löptien, Sidney Vesting, Susanne Dobler, Shabnam Mohammadi

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Article in Open biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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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

6 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Jana LöptienMolecular Evolutionary Biology Institute of Cell and Systems Biology of Animals, Universität Hamburg, Hamburg, Germany.ORCID 0009-0003-8180-9978
Sidney VestingMolecular Evolutionary Biology Institute of Cell and Systems Biology of Animals, Universität Hamburg, Hamburg, Germany.
Susanne DoblerMolecular Evolutionary Biology Institute of Cell and Systems Biology of Animals, Universität Hamburg, Hamburg, Germany.ORCID 0000-0002-0635-7719
Shabnam MohammadiMolecular Evolutionary Biology Institute of Cell and Systems Biology of Animals, Universität Hamburg, Hamburg, Germany.ORCID 0000-0003-3450-6424

Funding

Alexander von Humboldt-StiftungDeutsche ForschungsgemeinschaftNHLBI NIH HHS
6 · The paper itself

Abstract

Protein quantification is an important tool for a wide range of biological applications. The most common methods include the Lowry, bicinchoninic acid (BCA) and Coomassie Bradford assays. Despite their wide applicability, the mechanisms of action imply that these methods may not be ideal for large transmembrane proteins due to the proteins' integration in the plasma membrane. Here, we investigate this problem by assessing the efficacy and applicability of these three common protein quantification methods on a candidate transmembrane protein: Na, K-ATPase (NKA). We compared these methods with an ELISA, which we newly developed and describe here for the quantification of NKA. The use of a relative standard curve allows this ELISA to be easily adapted to other proteins and across the animal kingdom. Our results revealed that the three conventional methods significantly overestimate the concentration of NKA compared with the ELISA. This is due to the samples containing a heterogeneous mix of proteins, including a significant amount of non-target proteins. Further, by applying the protein concentrations determined by the different methods to

Indexed as

Chemistry Techniques, AnalyticalEnzyme AssaysEnzyme-Linked Immunosorbent AssayMembrane ProteinsStaining and LabelingAnimalsAntibodiesCell MembraneColoring AgentsFreeze DryingLimit of DetectionReference StandardsRosaniline DyesSf9 CellsSodium-Potassium-Exchanging ATPaseAntibodiesColoring AgentsCoomassie blueMembrane ProteinsRosaniline DyesSodium-Potassium-Exchanging ATPaseELISANa,K-ATPaseprotein quantificationtransmembrane proteins

Identifiers

PMID39626776
PMCPMC11614547

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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.