Evidence map›Paper›PMID 31808999›Full record

ArticleCytometry. Part A : the journal of the International Society for Analytical Cytology2020

Optimization in Detection of Antigen-Specific T Cells Through Differentially Labeled MHC Multimers.

Natasja Wulff Pedersen, Karoline Laske, Dominik Maurer, Marij Welters, Steffen Walter, Cécile Gouttefangeas, Sine Reker Hadrup

Abstract read
In one paragraph

Article in Cytometry. Part A : the journal of the International Society for Analytical Cytology, 2020. 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
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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

7 authors.

Natasja Wulff PedersenDepartment of Health Technology, Technical University of Denmark, Copenhagen, Denmark.ORCID 0000-0002-7252-4562
Karoline LaskeDepartment of Immunology, Institute of Cell Biology, University of Tübingen, Tübingen, Germany.
Dominik MaurerImmatics Biotechnologies GmbH, Tübingen, Germany.
Marij WeltersDepartment of Clinical Oncology, Leiden University Medical Center, Leiden, Netherlands.
Steffen WalterImmatics US, Inc, Houston, Texas, 77030, USA.
Cécile GouttefangeasDepartment of Immunology, Institute of Cell Biology, University of Tübingen, Tübingen, Germany.
Sine Reker HadrupDepartment of Health Technology, Technical University of Denmark, Copenhagen, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A large variety of fluorescent molecules are used on a regular basis to tag major histocompatibility complex (MHC) multimers for detection of antigen-specific T cells. We have evaluated the way in which the choice of fluorescent label can impact the detection of MHC multimer binding T cells in an exploratory proficiency panel where detection of MHC multimer binding T cells was assessed across 16 different laboratories. We found that the staining index (SI) of the multimer reagent provided the best direct correlation with the value of a given fluorochrome for T cell detection studies. The SI is dependent on flow cytometer settings and chosen antibody panel; hence, the optimal fluorochrome selection may differ from lab to lab. Consequently, we describe a strategy to evaluate performance of the detection channels and optimize the SI for selected fluorescent molecules. This approach can easily be used to test and optimize fluorescence detection in relation to MHC multimer staining and in general, for antibody-based identification of rare cell populations. © 2019 The Authors. Cytometry Part A published by Wiley Periodicals, Inc. on behalf of International Society for Advancement of Cytometry.

Indexed as

Major Histocompatibility ComplexT-LymphocytesAntigensCD8-Positive T-LymphocytesFlow CytometryHumansStaining and LabelingAntigensantigen specific CD8 T cellsflow cytometryMHC multimersoptimized detection of fluorescence

Identifiers

PMID31808999
PMCPMC7540688

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