Evidence map›Paper›PMID 41615933›Full record

ArticlePloS one2026

High-dimensional phenotyping reveals novel macrophage-like and hybrid subsets within murine splenic conventional dendritic cells.

Chunqing Yang, Qingjie Xue, Yu Feng, Wenjun Ding, Ying Lu, Qinqin Wang

Abstract read
In one paragraph

Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Special Issue "Flow Cytometry: Applications and Challenges".International journal of molecular sciences · 2026
    Article
  2. 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

6 authors.

Chunqing YangInstitute of Mental Health, Jining Medical University, Shandong, China.ORCID https://orcid.org/0000-0002-6883-8382
Qingjie XueInstitute of Basic Medicine, Jining Medical University, Shandong, China.
Yu FengInstitute of Mental Health, Jining Medical University, Shandong, China.
Wenjun DingInstitute of Mental Health, Jining Medical University, Shandong, China.
Ying LuDepartment of Endocrinology, East Hospital of the First People's Hospital of Jining, Shandong, China.
Qinqin WangInstitute of Mental Health, Jining Medical University, Shandong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Conventional dendritic cells (cDCs) are pivotal antigen-presenting cells (APCs) with critical roles in immune regulation, yet their subset classification remains ambiguous due to phenotypic overlap with macrophages and monocytes, particularly in the spleen. This study employed multi-parametric flow cytometry and clodronate liposome (CL) depletion to systematically re-evaluate splenic CD11chighMHCIIhigh cDCs in C57BL/6 mice. We identified three novel subsets: (1) a tissue-resident T-cell zone macrophage (TZM)-like population (F4/80inter-lowCX3CR1+MERTK+) constituting 0.59% of cDC2s with >10-fold CL-depletion resistance (p < 0.0001); (2) a resident F4/80high APC subset (CCR2 ⁻ Ly6C⁻) accounting for 2.7% of cDC2s with CL-sensitivity; (3) unconventional CD4⁺CD8α⁺ hybrids present in 2.57% of cDC2 and some cDC1s. These findings demonstrate unprecedented cDC plasticity driven by microenvironmental signals, revising conventional classification frameworks and proposing new targets for DC-based immunotherapies in autoimmunity and cancer. Our phenotypic mapping provides a foundational framework for future functional investigations into these novel subsets.

Indexed as

Dendritic CellsImmunophenotypingMacrophagesSpleenAnimalsCD11c AntigenCell SeparationFemaleFlow CytometryHistocompatibility Antigens Class IIMiceMice, Inbred C57BLCD11c AntigenHistocompatibility Antigens Class II

Identifiers

PMID41615933
PMCPMC12857976

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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.