Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Evaluating microglial phenotypes using single-cell technologies.

Trends in neurosciences - 1 Feb 2022

Sankowski Roman, Monaco Gianni, Prinz Marco

Abstract excerpt

Recent single-cell technologies have enabled researchers to simultaneously assess the transcriptomes and other modalities of thousands of cells within their spatial context. Here, we have summarized available single-cell methods for dissociated tissues and tissue slides with respect to the specifics of microglial biology. We have focused on next-generation-based technologies. We review the potential of these...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Microglia
Share to Phenotype
Share to Transcriptome

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 34872773
DOI: 10.1016/j.tins.2021.11.001

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Evaluating microglial phenotypes using single-cell technologies.PMID 34872773Read ↗

Single Cell Sequencing Reveals Glial Specific Responses to Tissue Processing & Enzymatic Dissociation in Mice and HumansSemantic proximity Read ↗

MIC-MAC: High-throughput analysis of three-dimensional microglia morphology in mammalian brainsSemantic proximity Read ↗

Microglia Heterogeneity in Alzheimer’s Disease: Insights From Single-Cell TechnologiesSemantic proximity Read ↗

Unveiling microglial heterogeneity from single-cell transcriptomics in neurodegenerative diseasesSemantic proximity Read ↗

Single-cell nanodroplet processing proteomics pipeline for analysis of human-derived microgliaSemantic proximity Read ↗

A single cell-based atlas of human microglial states reveals associations with neurological disorders and histopathological features of the aging brainSemantic proximity Read ↗

Analyzing microglial phenotypes across neuropathologies: a practical guide.Semantic proximity Read ↗

Next generation transcriptomics and genomics elucidate biological complexity of microglia in health and diseaseSemantic proximity Read ↗

Complex cell-state changes revealed by single cell RNA sequencing of 76,149 microglia throughout the mouse lifespan and in the injured brainSemantic proximity Read ↗

Single‐cell transcriptomics reveals distinct inflammation‐induced microglia signaturesSemantic proximity Read ↗

Defined human tri-lineage brain microtissuesSemantic proximity Read ↗

Cross-Species Single-Cell Analysis Reveals Divergence of the Primate Microglia Program.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.