ReviewTrends in genetics : TIG2022
Singling out motor neurons in the age of single-cell transcriptomics.
Review in Trends in genetics : TIG, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 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
11 citing papers in PubMed.
- Article
- Regulatory BC200 RNA promotes breast carcinogenesis by repressing BRCA1 gene expression.iScience · 2026Article
- Transcriptional and cellular maturation of the chick spinal cord in the context of distinct neuromuscular circuits.iScience · 2026Article
- Defining spinal motor neuron subtypes across development: from embryonic specification to postnatal maturation.Frontiers in cellular neuroscience · 2026Review
- Saliva identification by RT-LAMP integrated with CRISPR-Cas and LFA.Forensic science, medicine, and pathology · 2025Article
- A 3D Atlas of Visceral and Somatic Pelvic Motor Neurons in Whole Mounts of Female and Male Rat Spinal Cords.The Journal of comparative neurology · 2025Article
- A molecular atlas of adult C. elegans motor neurons reveals ancient diversity delineated by conserved transcription factor codes.Cell reports · 2024Article
- Meta-analysis of differential gene expression in lower motor neurons isolated by laser capture microdissection from post-mortem ALS spinal cords.Frontiers in genetics · 2024Article
- Regulation of cortical hyperexcitability in amyotrophic lateral sclerosis: focusing on glial mechanisms.Molecular neurodegeneration · 2023Review
- A molecular atlas of adultbioRxiv : the preprint server for biology · 2023Article
- A method to investigate muscle target-specific transcriptional signatures of single motor neurons.Developmental dynamics : an official publication of the American Association of Anatomists · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Motor neurons are a remarkably powerful cell type in the central nervous system. They innervate and control the contraction of virtually every muscle in the body and their dysfunction underlies numerous neuromuscular diseases. Some motor neurons seem resistant to degeneration whereas others are vulnerable. The intrinsic heterogeneity of motor neurons in adult organisms has remained elusive. The development of high-throughput single-cell transcriptomics has changed the paradigm, empowering rapid isolation and profiling of motor neuron nuclei, revealing remarkable transcriptional diversity within the skeletal and autonomic nervous systems. Here, we discuss emerging technologies for defining motor neuron heterogeneity in the adult motor system as well as implications for disease and spinal cord injury. We establish a roadmap for future applications of emerging techniques - such as epigenetic profiling, spatial RNA sequencing, and single-cell somatic mutational profiling to adult motor neurons, which will revolutionize our understanding of the healthy and degenerating adult motor system.
Indexed as
Identifiers
What Socratic 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 Socratic graph.