Evidence map›Paper›PMID 39780484›Full record

ArticleGlia2025

Characterizing Microglial Signaling Dynamics During Inflammation Using Single-Cell Mass Cytometry.

Sushanth Kumar, August D Kahle, Austin B Keeler, Eli R Zunder, Christopher D Deppmann

Abstract read
In one paragraph

Article in Glia, 2025. 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. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Sushanth Kumar *Department of Biology, College of Arts and Sciences, University of Virginia, Charlottesville, Virginia, USA.ORCID 0000-0003-1435-8081
August D Kahle *Department of Biology, College of Arts and Sciences, University of Virginia, Charlottesville, Virginia, USA.
Austin B KeelerDepartment of Biology, College of Arts and Sciences, University of Virginia, Charlottesville, Virginia, USA.
Eli R ZunderDepartment of Biomedical Engineering, School of Engineering, University of Virginia, Charlottesville, Virginia, USA.
Christopher D DeppmannDepartment of Biology, College of Arts and Sciences, University of Virginia, Charlottesville, Virginia, USA.

Funding

Extrinsic Mechanisms Governing Injury-Induced Axon DegenerationR01NS091617 · NINDS · UNIVERSITY OF VIRGINIA · PI DEPPMANN, CHRISTOPHER D · 2015 to 2025
$4.0M
Deciphering Trophic Signaling Programs Governing Peripheral Sensory Nervous System DevelopmentR01NS111220 · NINDS · UNIVERSITY OF VIRGINIA · PI ZUNDER, ELI · 2020 to 2024
$2.6M
Brain Institute, University of VirginiaNINDS NIH HHS R01 NS091617NINDS NIH HHS R01NS091617NINDS NIH HHS R01 NS111220NINDS NIH HHS R01NS111220-01A1Owens Family Foundation
6 · The paper itself

Abstract

Microglia play a critical role in maintaining central nervous system (CNS) homeostasis and display remarkable plasticity in their response to inflammatory stimuli. However, the specific signaling profiles that microglia adopt during such challenges remain incompletely understood. Traditional transcriptomic approaches provide valuable insights, but fail to capture dynamic post-translational changes. In this study, we utilized time-resolved single-cell mass cytometry (CyTOF) to measure distinct signaling pathways activated in microglia upon exposure to bacterial and viral mimetics-lipopolysaccharide (LPS) and polyinosinic-polycytidylic acid (Poly(I:C)), respectively. Furthermore, we evaluated the immunomodulatory role of astrocytes on microglial signaling in mixed cultures. Microglia or mixed cultures derived from neonatal mice were treated with LPS or Poly(I:C) for 48 h. Cultures were stained with a panel of 33 metal-conjugated antibodies targeting signaling and identity markers. High-dimensional clustering analysis was used to identify emergent signaling modules. We found that LPS treatment led to more robust early activation of pp38, pERK, pRSK, and pCREB compared to Poly(I:C). Despite these differences, both LPS and Poly(I:C) upregulated the classical reactivity markers CD40 and CD86 at later time points. Strikingly, the presence of astrocytes significantly blunted microglial responses to both stimuli, particularly dampening CD40 upregulation. Our studies demonstrate that single-cell mass cytometry effectively captures the dynamic signaling landscape of microglia under pro-inflammatory conditions. This approach may pave the way for targeted therapeutic investigations of various neuroinflammatory disorders. Moreover, our findings underscore the necessity of considering cellular context, such as astrocyte presence, in interpreting microglial behavior during inflammation.

Indexed as

InflammationMicrogliaSignal TransductionSingle-Cell AnalysisAnimalsAnimals, NewbornAstrocytesCells, CulturedFlow CytometryLipopolysaccharidesMiceMice, Inbred C57BLPoly I-CLipopolysaccharidesPoly I-CastrocytesCyTOFlipopolysaccharide (LPS)mass cytometrymicrogliaNeuroinflammationpoly(I:C)signaling pathways

Identifiers

PMID39780484
PMCPMC11920681

What Socratic holds

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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.