Evidence map›Paper›PMID 35931780›Full record

ReviewNature protocols2022

Single-cell RNA and protein profiling of immune cells from the mouse brain and its border tissues.

Isabelle Scheyltjens, Hannah Van Hove, Karen De Vlaminck, Daliya Kancheva, Jonathan Bastos, Mónica Vara-Pérez, Ana Rita Pombo Antunes, Liesbet Martens, Charlotte L Scott, Jo A Van Ginderachter and 4 more

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature protocols, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

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  14. Review
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  19. Brain border-derived CXCL2CNS neuroscience & therapeutics · 2024
    Article
  20. CCR2Cell reports · 2024
    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

14 authors.

Isabelle Scheyltjens *Myeloid Cell Immunology Lab, VIB Center for Inflammation Research, Brussels, Belgium.ORCID http://orcid.org/0000-0002-2260-2921
Hannah Van Hove *Myeloid Cell Immunology Lab, VIB Center for Inflammation Research, Brussels, Belgium.
Karen De VlaminckMyeloid Cell Immunology Lab, VIB Center for Inflammation Research, Brussels, Belgium.
Daliya KanchevaMyeloid Cell Immunology Lab, VIB Center for Inflammation Research, Brussels, Belgium.ORCID http://orcid.org/0000-0001-6222-0461
Jonathan BastosMyeloid Cell Immunology Lab, VIB Center for Inflammation Research, Brussels, Belgium.ORCID http://orcid.org/0000-0003-4862-4835
Mónica Vara-PérezMyeloid Cell Immunology Lab, VIB Center for Inflammation Research, Brussels, Belgium.ORCID http://orcid.org/0000-0001-6196-4696
Ana Rita Pombo AntunesMyeloid Cell Immunology Lab, VIB Center for Inflammation Research, Brussels, Belgium.
Liesbet MartensLaboratory of Myeloid Cell Biology in Tissue Damage and Inflammation, VIB Center for Inflammation Research, Ghent, Belgium.ORCID http://orcid.org/0000-0001-9180-7456
Charlotte L ScottLaboratory of Myeloid Cell Biology in Tissue Damage and Inflammation, VIB Center for Inflammation Research, Ghent, Belgium.
Jo A Van GinderachterMyeloid Cell Immunology Lab, VIB Center for Inflammation Research, Brussels, Belgium.
Yvan SaeysData Mining and Modelling for Biomedicine, VIB Center for Inflammation Research, Ghent, Belgium.ORCID http://orcid.org/0000-0002-0415-1506
Martin GuilliamsLaboratory of Myeloid Cell Biology in Tissue Homeostasis and Regeneration, VIB Center for Inflammation Research, Ghent, Belgium.ORCID http://orcid.org/0000-0003-3525-7570
Niels VandammeData Mining and Modelling for Biomedicine, VIB Center for Inflammation Research, Ghent, Belgium.
Kiavash MovahediMyeloid Cell Immunology Lab, VIB Center for Inflammation Research, Brussels, Belgium. kiavash.movahedi@vub.be.ORCID http://orcid.org/0000-0002-0826-4399

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Brain-immune cross-talk and neuroinflammation critically shape brain physiology in health and disease. A detailed understanding of the brain immune landscape is essential for developing new treatments for neurological disorders. Single-cell technologies offer an unbiased assessment of the heterogeneity, dynamics and functions of immune cells. Here we provide a protocol that outlines all the steps involved in performing single-cell multi-omic analysis of the brain immune compartment. This includes a step-by-step description on how to microdissect the border regions of the mouse brain, together with dissociation protocols tailored to each of these tissues. These combine a high yield with minimal dissociation-induced gene expression changes. Next, we outline the steps involved for high-dimensional flow cytometry and droplet-based single-cell RNA sequencing via the 10x Genomics platform, which can be combined with cellular indexing of transcriptomes and epitopes by sequencing (CITE-seq) and offers a higher throughput than plate-based methods. Importantly, we detail how to implement CITE-seq with large antibody panels to obtain unbiased protein-expression screening coupled to transcriptome analysis. Finally, we describe the main steps involved in the analysis and interpretation of the data. This optimized workflow allows for a detailed assessment of immune cell heterogeneity and activation in the whole brain or specific border regions, at RNA and protein level. The wet lab workflow can be completed by properly trained researchers (with basic proficiency in cell and molecular biology) and takes between 6 and 11 h, depending on the chosen procedures. The computational analysis requires a background in bioinformatics and programming in R.

Indexed as

High-Throughput Nucleotide SequencingRNAAnimalsBrainEpitopesGene Expression ProfilingMiceSequence Analysis, RNASingle-Cell AnalysisTranscriptomeEpitopesRNA

Identifiers

What OpenQuestion 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 OpenQuestion graph.