Evidence map›Paper›PMID 38168221›Full record

ArticlebioRxiv : the preprint server for biology2023

50-color phenotyping of the human immune system with in-depth assessment of T cells and dendritic cells.

Andrew J Konecny, Peter Mage, Aaron J Tyznik, Martin Prlic, Florian Mair

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. 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.

Andrew J KonecnyVaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle WA, 98107, USA.
Peter MageAdvanced Technology Group, BD Biosciences, San Jose, CA 95131, USA.
Aaron J TyznikApplied Research & Technology, Medical and Scientific Affairs, BD Biosciences, San Diego, CA 92037, USA.
Martin PrlicVaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle WA, 98107, USA.ORCID 0000-0002-0685-9321
Florian MairVaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle WA, 98107, USA.ORCID 0000-0001-6732-5449

Funding

Translational Bioimaging Core Shared ResourceP30CA015704 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Eric Collisson · 1985 to 2026
$296.4M
Inflammation-driven T Cell Responses and their Dichotomous Effect on Host ImmunityR01AI123323 · NIAID · FRED HUTCHINSON CANCER RESEARCH CENTER · PI PRLIC, MARTIN · 2017 to 2025
$5.0M
The role of tissue-resident T cells in resolving inflammation of the human oral mucosaR56DE032009 · NIDCR · FRED HUTCHINSON CANCER CENTER · PI DIXON, DOUGLAS RAYMOND, PRLIC, MARTIN · 2022 to 2022
$615k
NCI NIH HHS P30 CA015704NIAID NIH HHS R01 AI123323NIDCR NIH HHS R56 DE032009
6 · The paper itself

Abstract

We report the development of an optimized 50-color spectral flow cytometry panel designed for the in-depth analysis of the immune system in human blood and tissues, with the goal of maximizing the amount of information that can be collected using currently available flow cytometry platforms. We established and tested this panel using peripheral blood mononuclear cells (PBMCs), but included CD45 to enable its use for the analysis of human tissue samples. The panel contains lineage markers for all major immune cell subsets, and an extensive set of phenotyping markers focused on the activation and differentiation status of the T cell and dendritic cell (DC) compartment. We outline the biological insight that can be gained from the simultaneous measurement of such a large number of proteins and propose that this approach provides a unique opportunity for the comprehensive exploration of the immune status in tissue biopsies and other human samples with a limited number of cells. Of note, we tested the panel to be compatible with cell sorting for further downstream applications. Furthermore, to facilitate the wide-spread implementation of such a panel across different cohorts and samples, we established a trimmed-down 45-color version which can be used with different spectral cytometry platforms. Finally, to generate this panel, we utilized not only existing panel design guidelines, but also developed new metrics to systematically identify the optimal combination of 50 fluorochromes and evaluate fluorochrome-specific resolution in the context of a 50-color unmixing matrix.

Indexed as

BD FACSDiscover™ S8high-dimensionalhuman PBMCsimmunophenotypingSony ID7000™spectral cytometry

Identifiers

PMID38168221
PMCPMC10760076

What OpenQuestion holds

Textmetadata
LicenceCC BY-ND
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.