The DOI matches its Crossref record; 81 of the 81 references it cites were found in a registry or an index.
Graded Arrays of Spinal and Supraspinal V2a Interneuron Subtypes Underlie Forelimb and Hindlimb Motor Control
Open accessAbstract
The spinal cord contains neural networks that enable regionally distinct motor outputs along the body axis. Nevertheless, it remains unclear how segment-specific motor computations are processed because the cardinal interneuron classes that control motor neurons appear uniform at each level of the spinal cord. V2a interneurons are essential to both forelimb and hindlimb movements, and here we identify two major types that emerge during development: type I neurons marked by high Chx10 form recurrent networks with neighboring spinal neurons and type II neurons that downregulate Chx10 and project to supraspinal structures. Types I and II V2a interneurons are arrayed in counter-gradients, and this network activates different patterns of motor output at cervical and lumbar levels. Single-cell RNA sequencing (RNA-seq) revealed type I and II V2a neurons are each comprised of multiple subtypes. Our findings uncover a molecular and anatomical organization of V2a interneurons reminiscent of the orderly way motor neurons are divided into columns and pools.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“V2a interneurons have recently been shown to consist of two major subgroups that have different settling positions: a medial subgroup that expresses Nfib and Neurod2, and a lateral subgroup that expresses Shox2 and Zfhx3 (Hayashi et al., 2018).”
From Single cell transcriptomics reveals spatial and temporal dynamics of gene expression in the developing mouse spinal cord (2019) · cites this paper as Hayashi et al., 2018
In the citing paper
“In the spinal cord, the birth date of spinal neurons has been shown to correlate with subtype identity and functional properties in several specific cases (Hayashi et al., 2018; Hollyday and Hamburger, 1977; Sockanathan and Jessell, 1998; Stam et al., 2012; Tripodi et al., 2011).”
From Single cell transcriptomics reveals spatial and temporal dynamics of gene expression in the developing mouse spinal cord (2019) · cites this paper as Hayashi et al., 2018
In the citing paper
“In addition, neuronal subtypes vary along the rostral caudal axis of the neural tube (Hayashi et al., 2018; Philippidou and Dasen, 2013; Sweeney et al., 2018).”
From Single cell transcriptomics reveals spatial and temporal dynamics of gene expression in the developing mouse spinal cord (2019) · cites this paper as Hayashi et al., 2018
In the citing paper
“The prioritized neurons resembled developmentally defined V2a neurons located in the lumbar spinal cord35.”
From The neurons that restore walking after paralysis (2022) · cites this paper as [35]
In the citing paper
“These neurons originate from a subset of developmentally defined V2a neurons35,41–45, which describe a family of neuronal subpopulations distributed along the neuraxis35,41–45.”
From The neurons that restore walking after paralysis (2022) · cites this paper as [35]
In the citing paper
“Specific subpopulations of V2a neurons in the brainstem, cervical spinal cord and lumbar spinal cord have been implicated in different aspects of motor control35,41–45.”
From The neurons that restore walking after paralysis (2022) · cites this paper as [35]
In the citing paper
“We first created a merged dataset with over one hundred thousand cells and nuclei from the first six published studies of the postnatal mouse spinal cord1–6.”
From A harmonized atlas of mouse spinal cord cell types and their spatial organization (2021) · cites this paper as [2]
Citations
Cites
Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2
Love, M. I., Huber, W., & Anders, S. (2014) · Genome Biology · doi:10.1186/s13059-014-0550-8 · Cited by 95,106
Fast and accurate short read alignment with Burrows-Wheeler transform
Li, H., & Durbin, R. (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp324 · Cited by 58,607
Robinson, M. D., McCarthy, D. J., & Smyth, G. K. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btp616 · Cited by 41,364
voom: precision weights unlock linear model analysis tools for RNA-seq read counts
Law, C. W., Chen, Y., Shi, W., & Smyth, G. K. (2014) · Genome Biology · doi:10.1186/gb-2014-15-2-r29 · Cited by 6,155
ConsensusClusterPlus: a class discovery tool with confidence assessments and item tracking
Wilkerson, M. D., & Hayes, D. N. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btq170 · Cited by 5,645
McCarthy, D. J., Chen, Y., & Smyth, G. K. (2012) · Nucleic Acids Research · doi:10.1093/nar/gks042 · Cited by 5,195
On aims and methods of ethology
Tinbergen, N. (1963) · Zeitschrift für Tierpsychologie · doi:10.1111/j.1439-0310.1963.tb01161.x · Cited by 4,551
Neuronal specification in the spinal cord: inductive signals and transcriptional codes
Jessell, T. M. (2000) · Nature Reviews Genetics · doi:10.1038/35049541 · Cited by 2,089
SC3: consensus clustering of single-cell RNA-seq data
Kiselev, V. Y., Kirschner, K., Schaub, M. T., Andrews, T., Yiu, A., Chandra, T., Natarajan, K. N., Reik, W., Barahona, M., Green, A. R., et al. (2017) · Nature Methods · doi:10.1038/nmeth.4236 · Cited by 1,500
Pooling across cells to normalize single-cell RNA sequencing data with many zero counts
L. Lun, A. T., Bach, K., & Marioni, J. C. (2016) · Genome Biology · doi:10.1186/s13059-016-0947-7 · Cited by 1,108
Cited by
Sorted by citations
Current principles of motor control, with special reference to vertebrate locomotion
Grillner, S., & El Manira, A. (2020) · Physiological Reviews · doi:10.1152/physrev.00015.2019 · Cited by 560
Sathyamurthy, A., Johnson, K. R., Matson, K. J. E., Dobrott, C. I., Li, L., Ryba, A. R., Bergman, T. B., Kelly, M. C., Kelley, M. W., & Levine, A. J. (2018) · Cell Reports · doi:10.1016/j.celrep.2018.02.003 · Cited by 370
Delile, J., Rayon, T., Melchionda, M., Edwards, A., Briscoe, J., & Sagner, A. (2019) · Development · doi:10.1242/dev.173807 · Cited by 356
The neurons that restore walking after paralysis
Kathe, C., Skinnider, M. A., Hutson, T. H., Regazzi, N., Gautier, M., Demesmaeker, R., Komi, S., Ceto, S., James, N. D., Cho, N., et al. (2022) · Nature · doi:10.1038/s41586-022-05385-7 · Cited by 304
Transplanting neural progenitor cells to restore connectivity after spinal cord injury
Fischer, I., Dulin, J. N., & Lane, M. A. (2020) · Nature reviews. Neuroscience · doi:10.1038/s41583-020-0314-2 · Cited by 303
Metadata
- Authors
- Hayashi, M., Hinckley, C. A., Driscoll, S. P., Moore, N. J., Levine, A. J., Hilde, K. L., Sharma, K., & Pfaff, S. L.
- Affiliations
- Salk Institute for Biological Studies (US)
- University of Illinois Chicago (US)
- Corresponding author
- Pfaff, Samuel L.
- ORCID
- Venue
- Neuron
- Publisher
- Elsevier BV
- Published
- 2018-02
- Volume
- 97
- Issue
- 4
- Pages
- 869-884.e5
- ISSN
- 0896-6273 (ISSN-L)
- PMC
- PMC8601153
- OpenAlex
- W2785626601
- Cited by
- 188
- References
- 81
- Citations by year
- 2026: 14 · 2025: 16 · 2024: 28 · 2023: 35 · 2022: 24 · 2021: 20 · 2020: 14 · 2019: 26 · 2018: 11
- FWCI
- 10.56
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Neuron (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- NIH-NCI CCSG (P30 014195)
- NINDS R24 Core Grant
- NEI
- Chapman Foundation
- Helmsley Charitable Trust
- Japanese Ministry of Education, Culture, Sports, Science, and Technology Long-Term Student Support Program
- Timken-Sturgis Foundation
- NIH NINDS
- George E. Hewitt Foundation for Medical Research
- Christopher and Dana Reeve Foundation
- NSF
- Howard Hughes Medical Institute
- Sol Goldman Charitable Trust
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Motor Control and Adaptation
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Life Sciences › Neuroscience › Developmental Neuroscience › Neurogenesis and neuroplasticity mechanisms
- Keywords
- V2a interneurons, spinal interneurons, Chx10, interneuron subtypes, interneuron development, motor pools, single-cell RNA sequencing
- MeSH terms
- Animals, Female, Forelimb, Hindlimb, Interneurons, Lumbosacral Region, Male, Mice, Inbred C57BL, Motor Neurons, Movement, Neural Pathways, Spinal Cord, Transcription Factors, Homeodomain Proteins, Cervical Cord
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
