ArticleNew biotechnology2021
Opinion: Independent third-party entities as a model for validation of commercial antibodies.
Article in New biotechnology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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.
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.
Who cites it
8 citing papers in PubMed, 15 citations in OpenAlex.
- Open-source antibodies as a path to enhanced research reproducibility and transparency.New biotechnology · 2025Article
- A consensus platform for antibody characterization.Nature protocols · 2025Article
- Development of Polyclonal Antibodies for the Preliminary Characterization of GPATCH1, a Novel Splicing Factor Associated with Human Osteoporosis.Applied biochemistry and biotechnology · 2025Article
- Reliable hexokinase 3 protein detection in human cell lines and primary tissue.European journal of histochemistry : EJH · 2025Article
- YCharOS open antibody characterisation data: Lessons learned and progress made.F1000Research · 2023Article
- Validation andF1000Research · 2023Article
- Opportunities and challenges of alpha-synuclein as a potential biomarker for Parkinson's disease and other synucleinopathies.NPJ Parkinson's disease · 2022Review
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 4 institutions in 2 countries.
Funding
Abstract
A vast array of commercial antibodies covers a large percentage of human gene products, but determining which among them is most appropriate for any given application is challenging. This leads to use of non-specific antibodies that contributes to issues with reproducibility. It is our opinion that the community of scientists who use commercial antibodies in their biomedical research would benefit from third-party antibody characterization entities that use standardized operating procedures to assess and compare antibody performance. Ideally, such entities would follow the principles of open science, such that all antibodies against any given protein target would be tested in parallel, and all data generated released to the public domain without bias. Furthermore, there should be no financial incentive for the entity beyond cost-recovery. Such non-profit organizations, combined with other scientific efforts, could catalyse new discoveries by providing scientists with better validated antibody tools.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.