ReviewRNA biology2021
Elucidating the cellular dynamics of the brain with single-cell RNA sequencing.
Review in RNA biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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.
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.
Who cites it
17 citing papers in PubMed, 30 citations in OpenAlex.
- Modern Mining: The Role of Single-cell RNA Sequencing in Advancing Neuroscience Research.BioEssays : news and reviews in molecular, cellular and developmental biology · 2026Review
- Decoding Alzheimer's Disease One Cell Class at a Time.Cellular and molecular neurobiology · 2026Review
- Disease-associated microglia in neurodegenerative diseases: Friend or foe?PLoS biology · 2025Review
- Single-Cell RNA and Transcriptome Sequencing to Analyze the Role of Lactate Metabolism in Traumatic Brain Injury Astrocytes.Brain and behavior · 2025Article
- Advancements in single-cell RNA sequencing and spatial transcriptomics: transforming biomedical research.Acta biochimica Polonica · 2025Review
- Proteomic features of gray matter layers and superficial white matter of the rhesus monkey neocortex: comparison of prefrontal area 46 and occipital area 17.Brain structure & function · 2024Article
- Transcriptional Response to Tick-Borne Flavivirus Infection in Neurons, Astrocytes and Microglia In Vivo and In Vitro.Viruses · 2024Article
- Bibliometric analysis of research on neurodegenerative diseases and single-cell RNA sequencing: Opportunities and challenges.iScience · 2023Article
- Integrated spatial transcriptome and metabolism study reveals metabolic heterogeneity in human injured brain.Cell reports. Medicine · 2023Article
- Characterizing the biology of primary brain tumors and their microenvironment via single-cell profiling methods.Neuro-oncology · 2023Article
- High-resolution transcriptomics informs glial pathology in human temporal lobe epilepsy.Acta neuropathologica communications · 2022Article
- Understanding Mammalian Hair Follicle Ecosystems by Single-Cell RNA Sequencing.Animals : an open access journal from MDPI · 2022Review
- Single-cell multi-omics sequencing and its applications in studying the nervous system.Biophysics reports · 2022Article
- Advancements in Genomic and Behavioral Neuroscience Analysis for the Study of Normal and Pathological Brain Function.Frontiers in molecular neuroscience · 2022Review
- The emerging RNA-centric world of neurobiology.RNA biology · 2021Article
- Retrotransposons as Drivers of Mammalian Brain Evolution.Life (Basel, Switzerland) · 2021Review
- A flexible microfluidic system for single-cell transcriptome profiling elucidates phased transcriptional regulators of cell cycle.Scientific reports · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
Single-cell RNA-sequencing (scRNA-seq) has emerged in recent years as a breakthrough technology to understand RNA metabolism at cellular resolution. In addition to allowing new cell types and states to be identified, scRNA-seq can permit cell-type specific differential gene expression changes, pre-mRNA processing events, gene regulatory networks and single-cell developmental trajectories to be uncovered. More recently, a new wave of multi-omic adaptations and complementary spatial transcriptomics workflows have been developed that facilitate the collection of even more holistic information from individual cells. These developments have unprecedented potential to provide penetrating new insights into the basic neural cell dynamics and molecular mechanisms relevant to the nervous system in both health and disease. In this review we discuss this maturation of single-cell RNA-sequencing over the past decade, and review the different adaptations of the technology that can now be applied both at different scales and for different purposes. We conclude by highlighting how these methods have already led to many exciting discoveries across neuroscience that have furthered our cellular understanding of the neurological disease.
Indexed as
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What OpenQuestion holds
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.