Literature DB >> 24358895

Reporting research antibody use: how to increase experimental reproducibility.

Matthew A Helsby1, Joe R Fenn1, Andrew D Chalmers1.   

Abstract

Research antibodies are used in a wide range of bioscience disciplines, yet it is common to hear dissatisfaction amongst researchers with respect to their quality. Although blame is often attributed to the manufacturers, scientists are not doing all they can to help themselves. One example of this is in the reporting of research antibody use. Publications routinely lack key details, including the host species, code number and even the company who supplied the antibody. Authors also fail to demonstrate that validation of the antibodies has taken place. These omissions make it harder for reviewers to establish the likely reliability of the results and for researchers to reproduce the experiments. The scale of this problem, combined with high profile concerns about experimental reproducibility, has caused the Nature Publishing Group to include a section on antibody information in their recent Reporting Checklist for Life Science Articles. In this commentary we consider the issue of reporting research antibody use and ask what details authors should be including in their publications to improve experimental reproducibility.

Entities:  

Year:  2013        PMID: 24358895      PMCID: PMC3829129.1          DOI: 10.12688/f1000research.2-153.v1

Source DB:  PubMed          Journal:  F1000Res        ISSN: 2046-1402


  15 in total

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Journal:  Nature       Date:  2012-03-28       Impact factor: 49.962

Review 2.  Controls for immunocytochemistry: an update.

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Journal:  J Histochem Cytochem       Date:  2011-01       Impact factor: 2.479

3.  An open letter to our readers on the use of antibodies.

Authors:  Clifford B Saper
Journal:  J Comp Neurol       Date:  2005-12-26       Impact factor: 3.215

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Authors:  Martin C Michel; Thomas Wieland; Gozoh Tsujimoto
Journal:  Naunyn Schmiedebergs Arch Pharmacol       Date:  2009-01-27       Impact factor: 3.000

5.  Commercial antibodies: the good, bad, and really ugly.

Authors:  John R Couchman
Journal:  J Histochem Cytochem       Date:  2008-10-14       Impact factor: 2.479

6.  Lack of specificity of commercially available antisera: better specifications needed.

Authors:  Wisuit Pradidarcheep; Wil T Labruyère; Noshir F Dabhoiwala; Wouter H Lamers
Journal:  J Histochem Cytochem       Date:  2008-09-15       Impact factor: 2.479

7.  The dark side of the immunohistochemical moon: industry.

Authors:  Alexander E Kalyuzhny
Journal:  J Histochem Cytochem       Date:  2009-09-15       Impact factor: 2.479

8.  Specificity controls for immunocytochemistry: the antigen preadsorption test can lead to inaccurate assessment of antibody specificity.

Authors:  Silvia Holmseth; Yun Zhou; Virginie V Follin-Arbelet; Knut Petter Lehre; Dwight E Bergles; Niels Christian Danbolt
Journal:  J Histochem Cytochem       Date:  2012-01-03       Impact factor: 2.479

9.  Antibody validation by quantitative analysis of protein expression using expression of Met in breast cancer as a model.

Authors:  Sharon Pozner-Moulis; Melissa Cregger; Robert L Camp; David L Rimm
Journal:  Lab Invest       Date:  2007-01-29       Impact factor: 5.662

10.  Specificity of immunoreactions: the importance of testing specificity in each method.

Authors:  Andrea Lorincz; Zoltan Nusser
Journal:  J Neurosci       Date:  2008-09-10       Impact factor: 6.167

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  14 in total

1.  Algorithmically outsourcing the detection of statistical errors and other problems.

Authors:  Jonathan D Wren
Journal:  EMBO J       Date:  2018-05-24       Impact factor: 11.598

2.  Editorial: Antibody can get it right: confronting problems of antibody specificity and irreproducibility.

Authors:  Agnes Schonbrunn
Journal:  Mol Endocrinol       Date:  2014-09

Review 3.  Artificial intelligence and machine learning for human reproduction and embryology presented at ASRM and ESHRE 2018.

Authors:  Carol Lynn Curchoe; Charles L Bormann
Journal:  J Assist Reprod Genet       Date:  2019-01-28       Impact factor: 3.412

4.  The increasing urgency for standards in basic biologic research.

Authors:  Leonard P Freedman; James Inglese
Journal:  Cancer Res       Date:  2014-07-17       Impact factor: 12.701

5.  MYSM-1 suppresses migration and invasion in renal carcinoma through inhibiting epithelial-mesenchymal transition.

Authors:  Lei Zhou; Liyin Shi; Hua Guo; Xin Yao
Journal:  Tumour Biol       Date:  2015-09-27

6.  Clinicopathological significance of p38β, p38γ, and p38δ and its biological roles in esophageal squamous cell carcinoma.

Authors:  Shutao Zheng; Chenchen Yang; Tao Liu; Qing Liu; Fang Dai; Ilyar Sheyhidin; Xiaomei Lu
Journal:  Tumour Biol       Date:  2015-12-14

7.  NFATC1 promotes cell growth and tumorigenesis in ovarian cancer up-regulating c-Myc through ERK1/2/p38 MAPK signal pathway.

Authors:  Wenwen Xu; Junjie Gu; Qingling Ren; Yanqiu Shi; Qinhua Xia; Jing Wang; Suli Wang; Yingchun Wang; Jinhua Wang
Journal:  Tumour Biol       Date:  2015-10-26

8.  Working towards a consensus for antibody validation.

Authors:  Peter D Reiss; Danxi Min; Mei Y Leung
Journal:  F1000Res       Date:  2014-11-05

9.  The F1000Research Antibody Validation Article Collection.

Authors:  Matthew A Helsby; Mei Yee Leung; Andrew D Chalmers
Journal:  F1000Res       Date:  2014-10-13

10.  CiteAb: a searchable antibody database that ranks antibodies by the number of times they have been cited.

Authors:  Matthew A Helsby; Paul M Leader; Joe R Fenn; Tulay Gulsen; Chris Bryant; Gail Doughton; Ben Sharpe; Paul Whitley; Christopher J Caunt; Katrina James; Adam D Pope; Dave H Kelly; Andrew D Chalmers
Journal:  BMC Cell Biol       Date:  2014-02-14       Impact factor: 4.241

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