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How to avoid pitfalls in antibody use

Antibody use is ubiquitous in the biomedical sciences. However, determining best research practices has not been trivial. Many commercially available antibodies and antibody-conjugates are poorly characterized and lack proper validation. Uncritical application of such useless tools has contributed t...

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Detalles Bibliográficos
Autores principales: Pauly, Diana, Hanack, Katja
Formato: Online Artículo Texto
Lenguaje:English
Publicado: F1000Research 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4722690/
https://www.ncbi.nlm.nih.gov/pubmed/26834988
http://dx.doi.org/10.12688/f1000research.6894.1
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author Pauly, Diana
Hanack, Katja
author_facet Pauly, Diana
Hanack, Katja
author_sort Pauly, Diana
collection PubMed
description Antibody use is ubiquitous in the biomedical sciences. However, determining best research practices has not been trivial. Many commercially available antibodies and antibody-conjugates are poorly characterized and lack proper validation. Uncritical application of such useless tools has contributed to the reproducibility crisis in biomedical research. Despite early initiatives such as MIAPAR or PSI-PAR, a best practice guideline for antibody characterization is still not in prospect. Here, we analyze 24 antibody-related databases and compare their content with regard to validation aspects and coverage. We also provide a flowchart for end-users with all necessary steps to facilitate finding and choosing specific and sensitive antibodies for their experiments. Based on a growing demand for better and standardized validation procedures and characterization guidelines for antibody molecules we have summarized our findings in a five-point plan. We intend to keep the discussion alive and hope that properly used antibodies will remain as central to biomedicine as they are today.
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spelling pubmed-47226902016-01-29 How to avoid pitfalls in antibody use Pauly, Diana Hanack, Katja F1000Res Opinion Article Antibody use is ubiquitous in the biomedical sciences. However, determining best research practices has not been trivial. Many commercially available antibodies and antibody-conjugates are poorly characterized and lack proper validation. Uncritical application of such useless tools has contributed to the reproducibility crisis in biomedical research. Despite early initiatives such as MIAPAR or PSI-PAR, a best practice guideline for antibody characterization is still not in prospect. Here, we analyze 24 antibody-related databases and compare their content with regard to validation aspects and coverage. We also provide a flowchart for end-users with all necessary steps to facilitate finding and choosing specific and sensitive antibodies for their experiments. Based on a growing demand for better and standardized validation procedures and characterization guidelines for antibody molecules we have summarized our findings in a five-point plan. We intend to keep the discussion alive and hope that properly used antibodies will remain as central to biomedicine as they are today. F1000Research 2015-09-07 /pmc/articles/PMC4722690/ /pubmed/26834988 http://dx.doi.org/10.12688/f1000research.6894.1 Text en Copyright: © 2015 Pauly D and Hanack K http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Opinion Article
Pauly, Diana
Hanack, Katja
How to avoid pitfalls in antibody use
title How to avoid pitfalls in antibody use
title_full How to avoid pitfalls in antibody use
title_fullStr How to avoid pitfalls in antibody use
title_full_unstemmed How to avoid pitfalls in antibody use
title_short How to avoid pitfalls in antibody use
title_sort how to avoid pitfalls in antibody use
topic Opinion Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4722690/
https://www.ncbi.nlm.nih.gov/pubmed/26834988
http://dx.doi.org/10.12688/f1000research.6894.1
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