Evidence map›Paper›PMID 42673960›Full record

ArticleCell reports methods2026

CaptureBody enables accurate unmixing for spectral flow cytometry.

Alexander E Zambidis, Latha Kallur Siddaramaiah, Matthew Gray, Andrew J Konecny, Martin Prlic

Abstract read
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In one paragraph

Article in Cell reports methods, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Alexander E ZambidisVaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, WA, USA.
Latha Kallur SiddaramaiahVaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, WA, USA.
Matthew GrayVaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, WA, USA. Electronic address: mgray@fredhutch.org.
Andrew J KonecnyVaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, WA, USA; Department of Immunology, University of Washington, Seattle, WA, USA. Electronic address: akonecny@fredhutch.org.
Martin PrlicVaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, WA, USA; Department of Immunology, University of Washington, Seattle, WA, USA; Department of Global Health, University of Washington, Seattle, WA, USA. Electronic address: mprlic@fredhutch.org.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accurate spectral unmixing is a critical step for flow cytometry data analysis and requires a single stain control for every fluorescent parameter used in an experiment. Currently, compensation/unmixing particles are often used for making single stain controls when a target protein is of low abundance or a cell type is of low frequency. However, compensation/unmixing particles introduce incongruencies in emission spectra, compared to cells, resulting in spectral unmixing or compensation errors. To enable the use of cells regardless of the abundance of target proteins or immune cell type, we generated a bispecific antibody that links a human anti-CD45 and mouse anti-immunoglobulin G (IgG) variable region. We refer to this bispecific tool as CaptureBody (CB) and highlight the benefits of its final nanobody-based design. We provide all sequences and methods necessary for the in-house expression of a CaptureBody in order to disseminate their use for spectral flow cytometry experiments.

Indexed as

antibodybispecificcompensationCP: imagingflow cytometrysingle stain controlspectralunmixing

Identifiers

PMID42673960

What OpenQuestion holds

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Registered trials

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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.