Evidence map›Paper›PMID 41952247›Full record

ArticleCytometry. Part B, Clinical cytometry2026

To fret over FRET: Unintended fluorescence energy transfer artifacts and their implications for flow cytometry panel design and interpretation as highlighted by TRBC1/2 assays.

Hao-Wei Wang, Dana Delgado Colon, Kyle Murphy, Richard R Sochacki, Robert Honec, Jacob Wellek, Isabella Bristol, Jung Jang, Truc Ho, Mariela Monreal and 1 more

Abstract read
In one paragraph

Article in Cytometry. Part B, Clinical cytometry, 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

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Hao-Wei WangFlow Cytometry Unit, Laboratory of Pathology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA.ORCID https://orcid.org/0000-0002-5408-9253
Dana Delgado ColonFlow Cytometry Unit, Laboratory of Pathology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA.
Kyle MurphyFlow Cytometry Unit, Laboratory of Pathology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA.
Richard R SochackiFlow Cytometry Unit, Laboratory of Pathology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA.
Robert HonecFlow Cytometry Unit, Laboratory of Pathology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA.
Jacob WellekFlow Cytometry Unit, Laboratory of Pathology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA.
Isabella BristolFlow Cytometry Unit, Laboratory of Pathology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA.
Jung JangFlow Cytometry Unit, Laboratory of Pathology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA.
Truc HoFlow Cytometry Unit, Laboratory of Pathology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA.
Mariela MonrealFlow Cytometry Unit, Laboratory of Pathology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA.
Constance M YuanFlow Cytometry Unit, Laboratory of Pathology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA.

Funding

Flow Cytometric Analysis of Benign and Malignant TumorsZICSC009372 · NCI · DIVISION OF CLINICAL SCIENCES - NCI · PI WANG, HAO-WEI · 2009 to 2025
$29.6M
Flow Cytometric Evaluation of BiomarkersZICBC011104 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI WANG, HAO-WEI · 2009 to 2025
$8.6M
FLow Cytometric Detection of Malignant Cells in Body FluidsZICBC011093 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI WANG, HAO-WEI · 2009 to 2025
$4.5M
Intramural NIH HHS Z99 CA999999Intramural NIH HHS ZIC BC011093Intramural NIH HHS ZIC BC011104Intramural NIH HHS ZIC SC009372NIH HHS
6 · The paper itself

Abstract

Förster resonance energy transfer (FRET) serves as the fundamental mechanism underlying a wide array of technologies employed in biomedical research and clinical diagnostic applications. However, unintended FRET is often overlooked, despite its potential to introduce assay artifacts that may lead to misinterpretation. Here, we examine the impact of unwanted FRET on clinical flow cytometric testing, focusing on the T-cell assay incorporating TRBC1 and TRBC2, which has emerged as a powerful method for assessing T-cell clonality. We illustrated the effect using a representative case of spurious antigen expression associated with false TRBC restriction and demonstrate through control experiments that this artifact arises when target antigens in close proximity are labeled with fluorochromes having overlapping spectra. We quantified the spectral overlap integral J(λ), and generated a matrix for commonly used fluorochromes, providing a practical tool to identify fluorochrome pairs with a high FRET propensity that should be avoided when labeling closely situated antigens. Overall, recognizing the potential effects of unintended FRET and implementing strategies to prevent or minimize its impact are essential for ensuring accurate interpretation of clinical flow cytometric assays.

Indexed as

Flow CytometryFluorescence Resonance Energy TransferArtifactsFluorescent DyesHumansT-LymphocytesFluorescent Dyesclinical flow cytometryFörster resonance energy transfer (FRET)pitfallsTRBC1TRBC2

Identifiers

PMID41952247
PMCPMC13127340

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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.