Evidence map›Paper›PMID 42717051›Full record

ArticleNature chemical biology2026

Plasma membrane order maps functional diversity in immune cells.

Luca A Andronico, Cenk O Gurdap, Abishek Arora, Franziska Ragaller, Patrick A Sandoz, Yidan Jiang, Sarantis Giatrellis, Leonard L de Boer, Valentina Carannante, Sofiia Iskrak and 7 more

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In one paragraph

Article in Nature chemical biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

17 authors.

Luca A AndronicoScience for Life Laboratory, Solna, Sweden. luca.andronico@ki.se.ORCID http://orcid.org/0000-0002-4326-073X
Cenk O GurdapScience for Life Laboratory, Solna, Sweden.ORCID http://orcid.org/0000-0002-5327-2523
Abishek AroraScience for Life Laboratory, Solna, Sweden.ORCID http://orcid.org/0000-0002-6149-4417
Franziska RagallerScience for Life Laboratory, Solna, Sweden.ORCID http://orcid.org/0000-0002-4148-262X
Patrick A SandozScience for Life Laboratory, Solna, Sweden.
Yidan JiangScience for Life Laboratory, Solna, Sweden.ORCID http://orcid.org/0000-0003-0804-7586
Sarantis GiatrellisDepartment of Cell and Molecular Biology, Karolinska Institute, Stockholm, Sweden.
Leonard L de BoerScience for Life Laboratory, Solna, Sweden.ORCID http://orcid.org/0000-0002-9370-5290
Valentina CarannanteScience for Life Laboratory, Solna, Sweden.ORCID http://orcid.org/0000-0003-4464-7087
Sofiia IskrakScience for Life Laboratory, Solna, Sweden.ORCID http://orcid.org/0009-0007-8562-251X
Jaromir MikesDepartment of Women's and Children's Health, Karolinska Institutet, Solna, Sweden.ORCID http://orcid.org/0000-0002-9941-7855
Marcus BuggertDepartment of Medicine Huddinge, Centre for Infectious Medicine, Karolinska Institutet, Stockholm, Sweden.
Anders ÖsterborgDepartment of Hematology, Karolinska University Hospital, Stockholm, Sweden.
Björn ÖnfeltScience for Life Laboratory, Solna, Sweden.
Andrey S KlymchenkoLaboratoire de Bioimagerie et Pathologies, UMR 7021 CNRS, Université de Strasbourg, Illkirch, France.ORCID http://orcid.org/0000-0002-2423-830X
Petter BrodinDepartment of Women's and Children's Health, Karolinska Institutet, Solna, Sweden.ORCID http://orcid.org/0000-0002-8103-0046
Erdinc SezginScience for Life Laboratory, Solna, Sweden. erdinc.sezgin@ki.se.ORCID http://orcid.org/0000-0002-4915-388X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cell membranes undergo biophysical remodeling as an adaptation to the surroundings and to perform specific biological functions. However, the extent and relevance of such changes in human immune cells remain unknown, largely because of the lack of single-cell and multidimensional methodologies. Here we apply a cytometry-based method to fill this gap by combining biophysical profiling with simultaneous analysis of immune cell markers. This platform reveals notable cell-type-dependent plasma membrane order heterogeneity in immune cells. By sorting immune cells according to their membrane order and performing transcriptome and spatial surface proteome analyses together with functional tests, we show that plasma membrane order can be used to identify subsets of immune cells with distinct phenotypes and functional behaviors. Our findings demonstrate a broad heterogeneity of plasma membrane order in immune cells that will provide a more precise definition of immune cell states on the basis of their biophysical properties in health and disease.

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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.