Evidence map›Paper›PMID 42818245›Full record

ArticlebioRxiv : the preprint server for biology2026

A high-resolution blood immune cell doublet atlas via imaging spectral cytometry.

Cheryl Kim, Denise Hinz, Aaron Middlebrook, Aaron J Tyznik, Louise M D'Cruz, Thomas Scriba, Bjoern Peters, Julie G Burel

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 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

8 authors.

Cheryl KimFlow Cytometry Core, La Jolla Institute for Immunology, La Jolla, CA, United States.
Denise HinzFlow Cytometry Core, La Jolla Institute for Immunology, La Jolla, CA, United States.
Aaron MiddlebrookInstrument Development, BD Biosciences, Milpitas, California, USA.
Aaron J TyznikApplied Research & Technology, Medical & Scientific Affairs, BD Biosciences, San Diego, California, USA.
Louise M D'CruzApplied Research & Technology, Medical & Scientific Affairs, BD Biosciences, San Diego, California, USA.
Thomas ScribaSouth African Tuberculosis Vaccine Initiative, Institute of Infectious Disease and Molecular Medicine, Division of Immunology, Department of Pathology, University of Cape Town, Cape Town, South Africa.ORCID 0000-0002-0641-1359
Bjoern PetersCenter for Vaccine Innovation, La Jolla Institute for Immunology, La Jolla, CA, United States.
Julie G BurelCenter for Vaccine Innovation, La Jolla Institute for Immunology, La Jolla, CA, United States.ORCID 0000-0003-1692-2758

Funding

Single-cell atlas of lung tissue-resident memory T cells reactive to upper and lower respiratory tract pathogensU19AI118626 · NIAID · LA JOLLA INSTITUTE FOR IMMUNOLOGY · PI Alessandro Sette · 2015 to 2026
$36.7M
NIAID NIH HHS U19 AI118626
6 · The paper itself

Abstract

Circulating cell-cell complexes (doublets) provide critical insights into in vivo immune interactions. Here, we leverage high-dimensional imaging spectral cytometry to systematically map the landscape of immune doublets in human peripheral blood. By integrating morphometric imaging features with a 22-color spectral panel, we established a gating workflow that cleanly segregates genuine, physically interacting complexes from coincidental transits and platelet contaminants, and resolved 12 highly pure homotypic and heterotypic immune doublet configurations in peripheral blood mononuclear cells (PBMC). At steady state, each doublet population displayed unique abundance, affinity and surface phenotypic profiles relative to circulating singlets. Principal component analysis (PCA) of quantitative imaging features further revealed lineage-specific topologies distinguishing singlet cells, homotypic doublets, and heterotypic pairs. Finally, comparative cohort analysis demonstrated that while doublet frequencies, affinities and surface phenotypes remain comparable between healthy donors and patients with tuberculosis (TB) disease, imaging-derived features uncovered disease-specific alterations in doublets morphology. Specifically, high-dimensional clustering using imaging parameters showed that TB disease significantly enriches for a tightly synapsed T cell-monocyte cluster characterized by high CD3-CD14 pixel correlation. Collectively, this study establishes a robust framework for mapping circulating cell-cell networks and demonstrates the superior sensitivity of imaging features over conventional fluorescence for capturing functional immune interactions in health and disease.

Identifiers

PMID42818245
PMCPMC13622468

What Socratic holds

Textmetadata
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 Socratic graph.