Evidence map›Paper›PMID 36322666›Full record

ArticleScience advances2022

Multiplexed high-throughput immune cell imaging reveals molecular health-associated phenotypes.

Yannik Severin, Benjamin D Hale, Julien Mena, David Goslings, Beat M Frey, Berend Snijder

Abstract read
In one paragraph

Article in Science advances, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
–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

25 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. CD4Sensors (Basel, Switzerland) · 2026
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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

6 authors.

Yannik SeverinDepartment of Biology, Institute of Molecular Systems Biology, ETH Zürich, 8049 Zürich, Switzerland.ORCID 0000-0003-4482-6237
Benjamin D HaleDepartment of Biology, Institute of Molecular Systems Biology, ETH Zürich, 8049 Zürich, Switzerland.ORCID 0000-0002-5095-8124
Julien MenaDepartment of Biology, Institute of Molecular Systems Biology, ETH Zürich, 8049 Zürich, Switzerland.ORCID 0000-0001-8040-810X
David GoslingsBlood Transfusion Service Zürich, SRC, 8952 Schlieren, Switzerland.
Beat M FreyBlood Transfusion Service Zürich, SRC, 8952 Schlieren, Switzerland.ORCID 0000-0002-2514-8621
Berend SnijderDepartment of Biology, Institute of Molecular Systems Biology, ETH Zürich, 8049 Zürich, Switzerland.ORCID 0000-0003-3386-6583

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Phenotypic plasticity is essential to the immune system, yet the factors that shape it are not fully understood. Here, we comprehensively analyze immune cell phenotypes including morphology across human cohorts by single-round multiplexed immunofluorescence, automated microscopy, and deep learning. Using the uncertainty of convolutional neural networks to cluster the phenotypes of eight distinct immune cell subsets, we find that the resulting maps are influenced by donor age, gender, and blood pressure, revealing distinct polarization and activation-associated phenotypes across immune cell classes. We further associate T cell morphology to transcriptional state based on their joint donor variability and validate an inflammation-associated polarized T cell morphology and an age-associated loss of mitochondria in CD4

Indexed as

InflammationNeural Networks, ComputerHumansPhenotype

Identifiers

PMID36322666
PMCPMC9629716

What OpenQuestion holds

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LicenceCC BY
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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.