New Research & Action Plan — March 2026

A Roadmap for Better Antibodies in Research

We've quantified the ethical and scientific costs of inadequate antibody validation — and developed an evidence-based, consensus-driven strategy to fix it. Here's what we found, what needs to happen, and the tools to make it easier.

At least 4M
animal samples consumed globally in experiments using antibodies that would fail independent testing
At least 6M
human tissue samples used without context-specific validation
15
consensus recommendations agreed by expert panel
32
international experts across 5 stakeholder groups
Jump to The Problem Our Approach The Papers Action Plans Tools Get Involved
The Problem
The ethical costs of poor antibody validation — quantified for the first time
We systematically examined how researchers choose and validate antibodies, and traced the downstream consequences when they don't. Using rigorous knockout-validated characterisation data from YCharOS, focus groups, a national survey, and systematic analysis of 785 publications, we found a pattern of substantial, avoidable waste.
15.8%
of antibodies failed across all tested applications when subjected to rigorous knockout-control characterisation
97 of 614 antibodies characterised by YCharOS
84.2%
of papers using those failed antibodies presented no validation evidence whatsoever
640 of 760 publications where validation status could be determined
72%
of surveyed researchers report using at least one recommended validation method — yet validation evidence rarely appears in their published work
Survey of 107 researchers — IWGAV pillar analysis
28%
of researchers used no recommended validation strategy at all, relying on technical controls only or performing no validation
30 of 107 survey respondents
8,064
animal samples and 4,424 human tissue samples consumed just in the 640 papers without validation data — using antibodies with demonstrated poor performance. Conservative global extrapolation suggests millions more.
Minimum counts from explicitly reported sample numbers
Flowchart showing downstream impact of failed antibodies on biological sample waste
Literature analysis workflow and biological sample waste. From 97 antibodies failing YCharOS validation, 35 had associated publications. Across 766 papers, the overwhelming majority of biological samples were consumed without context-specific validation data. Adapted from Biddle, Cooper, Blades et al. (2026), CC-BY 4.0.
Our Approach
From problem to evidence to action
This work builds on a decade of community efforts in antibody validation. Here's how we moved from identifying the problem to developing a structured, consensus-driven plan for fixing it.
Foundation

The frequency problem was already established

Independent characterisation by YCharOS using standardised knockout-control protocols demonstrated that over 50% of 614 commercial antibodies failed in at least one application. The eLife paper by Kahn, Virk, Laflamme et al. (2024) proposed sector-specific actions. An NC3Rs stakeholder meeting (February 2024, 56 participants) brought together manufacturers, publishers, funders, and researchers to identify priority interventions. But the downstream ethical consequences had never been quantified.

Paper 1 — Biddle, Cooper, Blades et al.

We defined the ethical impacts and the behavioural drivers

Using focus groups (n=12), a national survey (n=107), and systematic analysis of 785 publications, we quantified for the first time how many animal and human tissue samples are consumed in experiments using antibodies with demonstrated poor performance. We also mapped the behavioural drivers using the COM-B framework — revealing that antibody selection is dominated by social proof and habit rather than systematic evaluation of performance data.

Read the preprint →
Paper 2 — Blades, Biddle, Froud et al.

We developed a consensus-based strategy for fixing it

A modified Delphi study with 32 international experts — representing researchers, publishers, funders, manufacturers, and institutional leaders — produced 15 consensus recommendations rated as both effective and feasible for implementation by 2030. The panel endorsed a staged approach: enablement first (training, resources, infrastructure), then expectation (requirements, standards), then mandate (enforcement). Each stakeholder group has a defined role.

Read the preprint →
Now

We're building the tools and convening the stakeholders

The OGA database, Academy, and Antibody Champions programme provide practical infrastructure to support implementation. We're bringing stakeholders together — including at the UKRN Annual Conference in July 2026 — to turn recommendations into coordinated action.

The Evidence
Two linked studies — now available as preprints
Both papers are currently under peer review and available as preprints. We welcome feedback from the community — get in touch if you have thoughts.
The Problem

Drivers and ethical impacts of insufficient validation of antibodies in research

Mixed-methods study quantifying the ethical costs of poor antibody validation for the first time — including avoidable use of animal and human biological materials.

  • Focus groups (n=12), survey (n=107), systematic analysis of 785 publications
  • COM-B behavioural analysis — selection driven by social proof, not performance data
  • 8,064 animal samples and 4,424 human tissue samples consumed using failed antibodies without validation
  • Global extrapolation: 4–7 million animal, 6–11 million human tissue samples
Read on bioRxiv ↗
The Strategy

Addressing antibody validation failures: a multi-stakeholder Delphi consensus study

Modified Delphi study producing actionable, stakeholder-specific recommendations for improving antibody validation, selection, and reporting practices.

  • 32 international experts across 5 stakeholder groups — 2 rounds, 84% initial response rate
  • 15 consensus items — both effective and feasible by 2030
  • 15 further items rated effective but with uncertain feasibility — a roadmap for the next wave
  • 4 stakeholder consultation documents with implementation options
Read on bioRxiv ↗
What Needs to Happen
Consensus recommendations for every stakeholder group
The Delphi panel identified four interconnected barriers: diffuse ownership of the problem, market dynamics that don't reward quality, difficulty justifying investment when returns are distributed, and coordination challenges across actors with different incentives. These are addressable through coordinated action. We've prepared consultation documents for each stakeholder group, outlining the consensus recommendations and practical implementation options.
🏛

Institutions

Training, research integrity frameworks, and local champions

3 consensus — all fully agreed, no feasibility concerns
↓ Consultation document
💰

Funders

Validation budgets, grant requirements, reporting standards, benchmarking

6 consensus + 4 effective but uncertain feasibility
↓ Consultation document
📄

Publishers & Journals

Antibody reporting packages, validation standards, editorial capacity

4 consensus + 6 effective but uncertain feasibility
↓ Consultation document
🧪

Manufacturers

Product identification (RRIDs at source), validation data, recombinant transition

1 consensus + 2 effective but uncertain feasibility
↓ Consultation document
How the recommendations were developed
Flowchart showing the Delphi consensus process
Delphi consensus process: two rounds of voting by 32 panellists across 5 stakeholder groups, resulting in 15 consensus recommendations. From Blades, Biddle, Froud et al. (2026), CC-BY 4.0.
How panellists rated each action
Effectiveness vs feasibility ratings for all 33 proposed actions
Effectiveness and feasibility ratings for all 33 proposed actions, colour-coded by stakeholder group. The upper-right quadrant contains 15 items rated as both effective and feasible (consensus). From Blades, Biddle, Froud et al. (2026), CC-BY 4.0.

Built on multi-stakeholder expertise

The Delphi panel included senior representatives from organisations including Abcam, Cell Signaling Technology, Proteintech, GeneTex, AstraZeneca, the Institute for Protein Innovation, Addgene, YCharOS/SGC, eLife, Nature Protocols, F1000, Wiley, The Company of Biologists, NC3Rs, the Michael J. Fox Foundation, the MND Association, CHDI Foundation, CiteAb, SciCrunch, and leading research institutions. This work also builds on the independent characterisation data generated by the YCharOS consortium.

View all OGA partners →
The Tools
Making better practice easier
Identifying what needs to change is only half the picture. We've built practical tools and programmes to help researchers, institutions, and the wider community implement these recommendations.

🔍 OGA Antibody Database

Searchable characterisation data with knockout controls across Western Blot, IP, ICC/IF, and flow cytometry. Find out which antibodies actually work for your target — and which don't.

147 genes · 1,496 antibodies · 3,976 experiments
Search the database →

🎓 OGA Academy

Structured e-learning covering antibody selection, validation strategies, database use, and data interpretation. Free, self-paced, with assessment and certification.

5 modules with quizzes and certificates
Start learning →

🏅 Antibody Champions

A joint OGA/NC3Rs programme recruiting early career researchers to drive culture change in antibody validation at their own institutions. 12-month programme with professional training and expert mentorship.

Launching April 2026 with NC3Rs
Learn more at NC3Rs →
Get Involved
Join us in building a better system
We're convening stakeholders to develop practical implementation guidance. Whether you're an institution piloting these recommendations, a funder considering policy changes, or a researcher interested in contributing — we want to hear from you.

UKRN Conference 2026

We have a 90-minute panel session — "Working together to improve biomedical research: the OnlyGoodAntibodies experience" — at the UK Reproducibility Network Annual Conference, 8–9 July 2026.

Conference details →

Consultation & Working Groups

We're forming working groups to develop practical implementation guidance — including model curricula, institutional policy templates, and coordination mechanisms. Share your feedback or express interest in joining.

Get in touch →