ReviewImmunity, inflammation and disease2020
What has single-cell RNA sequencing revealed about microglial neuroimmunology?
Review in Immunity, inflammation and disease, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
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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.
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.
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Who cites it
13 citing papers in PubMed.
- Genomic and Transcriptomic Approaches Advance the Diagnosis and Prognosis of Neurodegenerative Diseases.Genes · 2025Review
- Revealing the role of regulatory microglial IRF7-NLRP3 interactions in optic nerve damage of normal-tension glaucoma based on single-cell RNA sequencing.Frontiers in immunology · 2025Article
- Single-cell sequencing in non-obstructive azoospermia: insights from primary and re-analysis studies.Frontiers in endocrinology · 2025Review
- Pathways linking microbiota-gut-brain axis with neuroinflammatory mechanisms in Alzheimer's pathophysiology.Microbiome research reports · 2024Review
- Comprehensive analysis of genetic associations and single-cell expression profiles reveals potential links between migraine and multiple diseases: a phenome-wide association study.Frontiers in neurology · 2024Article
- The Journey of Cancer Cells to the Brain: Challenges and Opportunities.International journal of molecular sciences · 2023Review
- Antiretroviral therapy restores the homeostatic state of microglia in SIV-infected rhesus macaques.Journal of leukocyte biology · 2022Article
- Adera2.0: A Drug Repurposing Workflow for Neuroimmunological Investigations Using Neural Networks.Molecules (Basel, Switzerland) · 2022Article
- Review
- Microglia in brain development and regeneration.Development (Cambridge, England) · 2022Review
- CD4Neural regeneration research · 2021Article
- Paracellular and Transcellular Leukocytes Diapedesis Are Divergent but Interconnected Evolutionary Events.Genes · 2021Article
- What has single-cell RNA sequencing revealed about microglial neuroimmunology?Immunity, inflammation and disease · 2020Review
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The use of single-cell RNA sequencing (scRNA-seq) in microglial research is increasing rapidly. The basic workflow of this approach consists of isolating single cells, followed by sequencing. scRNA-seq is capable of examining microglial heterogeneity on a cellular level. However, the results gained from applying this technique suffer from discrepancies due to differences between applied methods characteristics such as the number of cells sequenced and the depth of sequencing. This review aims to shed more light on the recent developments that happened in this field and how they are related to the methods used. To do that, we track the progress and limitations of various scRNA-seq methods currently available. The review then summarizes the current knowledge gained using scRNA-seq in the field of microglia, including novel subpopulations associated with function and development under homeostasis as well during several pathological conditions such as Alzheimer, lipopolysaccharide response, and HIV in relation to the methods employed. Our review points out that despite major developments found using this technique, current scRNA-seq methods suffer from high cost, low yields, and nonstandardization of generated data. Additional development of scRNA-seq methods will raise our awareness of microglia's heterogeneity and plasticity under healthy and pathological conditions.
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Registered trials
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.