Evidence map›Paper›PMID 37636454›Full record

ArticleHeliyon2023

Time-resolved single-cell RNAseq profiling identifies a novel

Regan Hamel, Luca Peruzzotti-Jametti, Katherine Ridley, Veronica Testa, Bryan Yu, David Rowitch, John C Marioni, Stefano Pluchino

Abstract read
In one paragraph

Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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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.

Regan HamelDepartment of Clinical Neurosciences and NIHR Biomedical Research Centre, University of Cambridge, Cambridge, UK.
Luca Peruzzotti-JamettiDepartment of Clinical Neurosciences and NIHR Biomedical Research Centre, University of Cambridge, Cambridge, UK.
Katherine RidleyCambridge Stem Cell Institute, University of Cambridge, UK.
Veronica TestaDepartment of Clinical Neurosciences and NIHR Biomedical Research Centre, University of Cambridge, Cambridge, UK.
Bryan YuDepartment of Clinical Neurosciences and NIHR Biomedical Research Centre, University of Cambridge, Cambridge, UK.
David RowitchCambridge Stem Cell Institute, University of Cambridge, UK.
John C MarioniCancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK.
Stefano PluchinoDepartment of Clinical Neurosciences and NIHR Biomedical Research Centre, University of Cambridge, Cambridge, UK.

Funding

Medical Research Council MC_PC_17230
6 · The paper itself

Abstract

Traumatic spinal cord injuries (SCI) are a group of highly debilitating pathologies affecting thousands annually, and adversely affecting quality of life. Currently, no fully restorative therapies exist, and SCI still results in significant personal, societal and financial burdens. Inflammation plays a major role in the evolution of SCI, with myeloid cells, including bone marrow derived macrophages (BMDMs) and microglia (MG) being primary drivers of both early secondary pathogenesis and delayed wound healing events. The precise role of myeloid cell subsets is unclear as upon crossing the blood-spinal cord barrier, infiltrating bone marrow derived macrophages (BMDMs) may take on the morphology of resident microglia, and upregulate canonical microglia markers, thus making the two populations difficult to distinguish. Here, we used time-resolved scRNAseq and transgenic fate-mapping to chart the transcriptional profiles of tissue-resident and -infiltrating myeloid cells in a mouse model of thoracic contusion SCI. Our work identifies a novel subpopulation of foam cell-like inflammatory myeloid cells with increased expression of

Indexed as

Fate-mapping myeloid cellsFatty acid binding protein 5Lipid metabolismMicrogliaMyeloid cellsNeurodegenerationNeuroinflammationSingle cell RNA sequencingSpinal cord injury

Identifiers

PMID37636454
PMCPMC10450865

What OpenQuestion holds

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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 OpenQuestion graph.