Evidence map›Paper›PMID 24127618›Full record

ArticleThe Journal of physiology2013

Important considerations for protein analyses using antibody based techniques: down-sizing Western blotting up-sizes outcomes.

Robyn M Murphy, Graham D Lamb

Open access · greenAbstract read
In one paragraph

Article in The Journal of physiology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers.

0numbers the graph read from it
0cells of the map it votes in
64citing papers in PubMed
4.8field-weighted citation impact, top 4% 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

64 citing papers in PubMed, 144 citations in OpenAlex.

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  9. Extraction of Total Protein from Cardiomyocytes and Western Blotting Analysis.Methods in molecular biology (Clifton, N.J.) · 2025
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4 more citing papers are in PubMed but not listed here.

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

2 authors at 1 institution in 1 country.

Robyn M MurphyR. M. Murphy: Department of Zoology, La Trobe University, Melbourne, Victoria 3086, Australia. r.murphy@latrobe.edu.au.
Graham D Lamb
La Trobe University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Western blotting has been used for protein analyses in a wide range of tissue samples for >30 years. Fundamental to Western blotting success are a number of important considerations, which unfortunately are often overlooked or not appreciated. Firstly, lowly expressed proteins may often be better detected by dramatically reducing the amount of sample loaded. Single cell (fibre) Western blotting demonstrates the ability to detect proteins in small sample sizes, 5-10 μg total mass (1-3 μg total protein). That is an order of magnitude less than often used. Using heterogeneous skeletal muscle as the tissue of representation, the need to undertake Western blotting in sample sizes equivalent to single fibre segments is demonstrated. Secondly, incorrect results can be obtained if samples are fractionated and a proportion of the protein of interest inadvertently discarded during sample preparation. Thirdly, quantitative analyses demand that a calibration curve be used. This is regardless of using a loading control, which must be proven to not change with the intervention and also be appropriately calibrated. Fourthly, antibody specificity must be proven using whole tissue analyses, and for immunofluorescence analyses it is vital that only a single protein is detected. If appropriately undertaken, Western blotting is reliable, quantitative, both in relative and absolute terms, and extremely valuable.

Indexed as

AnimalsAntibodiesBlotting, WesternCalibrationMuscle, SkeletalProteinsAntibodiesProteins

Identifiers

PMID24127618
PMCPMC3872754
OpenAlexW2111843192

What OpenQuestion holds

Textmetadata
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.