Evidence map›Paper›PMID 36373983›Full record

ArticleCurrent protocols2022

Do more with Less: Improving High Parameter Cytometry Through Overnight Staining.

Carly E Whyte, Damon J Tumes, Adrian Liston, Oliver T Burton

Erratum issuedAbstract read
In one paragraph

Article in Current protocols, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
–field-weighted citation impact
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

30 citing papers in PubMed.

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  17. Deep Immunophenotyping in ME/CFS Using Spectral Flow Cytometry.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Carly E WhyteCentre for Cancer Biology, SA Pathology and University of South Australia, Adelaide, Australia.
Damon J TumesCentre for Cancer Biology, SA Pathology and University of South Australia, Adelaide, Australia.
Adrian ListonImmunology Programme, Babraham Institute, Cambridge, United Kingdom.
Oliver T BurtonImmunology Programme, Babraham Institute, Cambridge, United Kingdom.

Funding

BBSRC Core Capability Grant to the Babraham Institute GNT2004288Biotechnology and Biological Sciences Research Council (BBSRC) through Institute Strategic Program BBS/E/B/000C0427Biotechnology and Biological Sciences Research Council (BBSRC) through Institute Strategic Program BBS/E/B/000C0428the Hospital Research Foundation 2021/62-QA25222Wellcome Trust
6 · The paper itself

Abstract

Recent advances in flow cytometry have allowed high-dimensional characterization of biological phenomena, enabling breakthroughs in a multitude of fields. Despite the appreciation of the unique properties of antigens and fluorophores in high-parameter panel design, staining conditions are often standardized for short surface stains, regardless of antibody affinity or antigen accessibility. Here, we demonstrate how increasing antibody incubation times can lead to substantial improvements in sensitivity, maintaining specificity, and reducing background, while also significantly reducing the costs of high-parameter cytometry panels. Furthermore, overnight staining reduces the influence of interexperimental variability, assisting accurate pooling over experiments over extended time courses. We provide guidance on how to optimize staining conditions for diverse antigens, including how different fixation strategies can affect epitope accessibility. Overnight staining can thus substantially improve the resolution, repeatability, and cost-effectiveness of high-parameter cytometry. © 2022 The Authors. Current Protocols published by Wiley Periodicals LLC.

Indexed as

AntibodiesAntigensFlow CytometryFluorescent DyesStaining and LabelingAntibodiesAntigensFluorescent Dyesantibody incubationhigh-parameter cytometryoptimizationovernight stainingspectral cytometry titration

Identifiers

PMID36373983
PMCPMC9827877

What OpenQuestion holds

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LicenceCC BY
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.