Evidence map›Paper›PMID 35119656›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2022

Antibody Validation for Estrogen Receptor Beta.

Madeleine Birgersson, Borbala Katona, Cecilia Lindskog, Fredrik Pontén, Cecilia Williams

Abstract read
PubMed Publisher
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Article
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

5 authors at 3 institutions in 1 country.

Madeleine BirgerssonDepartment of Biosciences and Nutrition, Karolinska Institutet, Huddinge, Sweden.
Borbala KatonaDepartment of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden.
Cecilia LindskogDepartment of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden.
Fredrik PonténDepartment of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden.
Cecilia WilliamsDepartment of Biosciences and Nutrition, Karolinska Institutet, Huddinge, Sweden. cecilia.williams@scilifelab.se.
Uppsala University · SEKarolinska Institutet · SEKTH Royal Institute of Technology · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antibodies can cross-react with proteins other than their intended targets, and antibody-based applications can, if not properly validated, lead to flawed interpretations. When evaluating 13 anti-estrogen receptor beta (ERβ) antibodies in 2017, we concluded that only one of them was specific. Applying this antibody in immunohistochemistry of over 44 different normal human tissues and 20 types of cancers revealed ERβ expression in only a few selected tissues. This aligned with mRNA evidence but contradicted a large set of published literature. ERβ protein expression continues to be reported in tissues without clear support by mRNA expression. In this chapter, we describe how ERβ antibodies can be thoroughly validated and discuss selection of well-characterized positive and negative controls. The validation scheme presented is applicable for immunohistochemistry and Western blotting. The protocol includes evaluation of mRNA evidence, use of public databases, assessment of on- and off-target binding, and an optional step for corroboration with immunoprecipitation and mass spectrometry.

Indexed as

AntibodiesEstrogen Receptor betaBlotting, WesternHumansImmunohistochemistryImmunoprecipitationAntibodiesESR2 protein, humanEstrogen Receptor betaAntibodyEstrogen receptor betaImmunohistochemistryRNA-SeqValidationWestern blotting

Identifiers

PMID35119656
OpenAlexW4210443268

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.