Evidence map›Paper›PMID 39153993›Full record

ArticleJournal of neuroinflammation2024

Transcriptomic analysis unveils bona fide molecular signatures of microglia under conditions of homeostasis and viral encephalitis.

Felix Mulenge, Olivia Luise Gern, Lena Mareike Busker, Angela Aringo, Luca Ghita, Inken Waltl, Andreas Pavlou, Ulrich Kalinke

Abstract read
In one paragraph

Article in Journal of neuroinflammation, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
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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

8 authors.

Felix MulengeInstitute for Experimental Infection Research, Centre for Experimental and Clinical Infection Research, a joint venture between The Helmholtz-Centre for Infection Research, Hannover Medical School, TWINCORE, Feodor-Lynen-Str. 7, 30625, Hannover, Germany.
Olivia Luise GernInstitute for Experimental Infection Research, Centre for Experimental and Clinical Infection Research, a joint venture between The Helmholtz-Centre for Infection Research, Hannover Medical School, TWINCORE, Feodor-Lynen-Str. 7, 30625, Hannover, Germany.
Lena Mareike BuskerInstitute for Experimental Infection Research, Centre for Experimental and Clinical Infection Research, a joint venture between The Helmholtz-Centre for Infection Research, Hannover Medical School, TWINCORE, Feodor-Lynen-Str. 7, 30625, Hannover, Germany.
Angela AringoInstitute for Experimental Infection Research, Centre for Experimental and Clinical Infection Research, a joint venture between The Helmholtz-Centre for Infection Research, Hannover Medical School, TWINCORE, Feodor-Lynen-Str. 7, 30625, Hannover, Germany.
Luca GhitaInstitute for Experimental Infection Research, Centre for Experimental and Clinical Infection Research, a joint venture between The Helmholtz-Centre for Infection Research, Hannover Medical School, TWINCORE, Feodor-Lynen-Str. 7, 30625, Hannover, Germany.
Inken WaltlInstitute for Experimental Infection Research, Centre for Experimental and Clinical Infection Research, a joint venture between The Helmholtz-Centre for Infection Research, Hannover Medical School, TWINCORE, Feodor-Lynen-Str. 7, 30625, Hannover, Germany.
Andreas PavlouInstitute for Experimental Infection Research, Centre for Experimental and Clinical Infection Research, a joint venture between The Helmholtz-Centre for Infection Research, Hannover Medical School, TWINCORE, Feodor-Lynen-Str. 7, 30625, Hannover, Germany.
Ulrich KalinkeInstitute for Experimental Infection Research, Centre for Experimental and Clinical Infection Research, a joint venture between The Helmholtz-Centre for Infection Research, Hannover Medical School, TWINCORE, Feodor-Lynen-Str. 7, 30625, Hannover, Germany. ulrich.kalinke@twincore.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microglia serve as a front-line defense against neuroinvasive viral infection, however, determination of their actual transcriptional profiles under conditions of health and disease is challenging. Here, we used various experimental approaches to delineate the transcriptional landscape of microglia during viral infection. Intriguingly, multiple activation genes were found to be artificially induced in sorted microglia and we demonstrated that shear stress encountered during cell sorting was one of the key inducers. Post-hoc analysis revealed that publicly available large-scale single-cell RNA sequencing datasets were significantly tainted by aberrant signatures that are associated with cell sorting. By exploiting the ribosomal tagging approach, we developed a strategy to enrich microglia-specific transcripts by comparing immunoprecipitated RNA with total RNA. Such enriched transcripts were instrumental in defining bona fide signatures of microglia under conditions of health and virus infection. These unified microglial signatures may serve as a benchmark to retrospectively assess ex vivo artefacts from available atlases. Leveraging the microglial translatome, we found enrichment of genes implicated in T-cell activation and cytokine production during the course of VSV infection. These data linked microglia with T-cell re-stimulation and further underscored that microglia are involved in shaping antiviral T-cell responses in the brain. Collectively, our study defines the transcriptional landscape of microglia under steady state and during viral encephalitis and highlights cellular interactions between microglia and T cells that contribute to the control of virus dissemination.

Indexed as

Encephalitis, ViralGene Expression ProfilingHomeostasisMicrogliaAnimalsMiceMice, Inbred C57BLTranscriptome

Identifiers

PMID39153993
PMCPMC11330067

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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.