DevelopmentDevelopmental BiologyPeer-reviewed journal article
Single cell transcriptomics reveals spatial and temporal dynamics of gene expression in the developing mouse spinal cord
Julien Delile, Teresa RayóniD, Manuela MelchiondaiD, Amelia Edwards, James BriscoeiD, Andreas SagneriD
In-depth summary
Claude Opus 5.5 · xhigh effort · 8 Nov 2026 · from the full text of version 2 (1 Dec 2018) · CC BY 4.0
scRNA-seq of 21465 mouse neural tube cells (e9.5-e13.5) maps spinal progenitor and neuron types, validates new subtype markers, and reveals temporally staged transcription-factor modules.
Bulk profiling of the spatially complex, developmentally asynchronous neural tube averages away lineage-specific dynamics, while earlier single-cell work examined in vitro progenitors or postnatal and late embryonic tissue. This work supplies an e9.5-e13.5 single-cell reference of spinal progenitors and neurons for dissecting patterning, neurogenesis and neuronal subtype specification.
Key results
ShownThe atlas reproduces known spinal cord composition and growth. Progenitor fractions shrink over time, and domain dynamics match an independent quantification. The data also extend these dynamics past e11.5, showing dorsal progenitors depleting faster than ventral ones by e13.5.
41,025 cells sequenced; 38976 kept after QC (cells with >6% mitochondrial UMIs or <500 genes removed); 33754 (87%) assigned to tissues; about 1% mixed neural-mesoderm transcriptomes; progenitors fell from >65% of cells at e9.5 to <15% at e13.5; FP, p3, pMN, pI and pD trajectories closely matched Kicheva et al (2014). · Assignment of transcriptomes to cell identities; Developmental dynamics of cell types; Quality filtering
ShownTesting every combination of dorsoventral domains for differential expression recovers known neurotransmitter and transcription factor patterns and predicts new ones. These include an adhesion-gene split between inhibitory and excitatory neurons and Cldn3 expression in motor neurons that is limited to early stages.
8192 progenitor models gave 102 pattern categories and 4096 neuronal models gave 147 (P < 10^-9, log2-fc > 2); 9 adhesion genes, with Nrxn3 in inhibitory classes and Cbln1 in excitatory classes plus MNs; immunofluorescence showed Cldn3 in MNs at e10.5 but not at e11.5/e12.5, and Pou3f1 in dorsal dI1-dI3 neurons at e11.5. · Prediction of novel gene expression patterns; Combinatorial testing for differential…
ShownGene-module-based hierarchical subclustering of each neuron class recovers known subtypes and predicts a new Nfia/b/x and Neurod2/6 V3 subtype. Staining links Pou2f2, Nr2f1 and Nkx6.2 to specific subsets of V3 neurons, motor neurons and V2a neurons.
59 subpopulations, of which two (MN.5, V2a.5) were judged misassigned; at least 4 V3 clades and four major V2a subtypes; Foxp1+ MNs split into cervical LMC (MN.6) and thoracic PGC (MN.7); staining at e11.5 and e12.5 confirmed Pou2f2 in V3 neurons, Nr2f1 in Foxp1+ MNs, and Nkx6.2 in V2a cells lacking Shox2 and Nfib. · Clustering of neurons predicts novel neuronal…; Subclustering of neuronal populations
SuggestedThe same transcription factor modules subdivide several ventral neuron classes and switch on in the same temporal order in each. This suggests that birth time adds a second axis of neuronal subtype diversity alongside dorsoventral patterning.
Pou2f2 modules (usually with Zfhx2/3/4) and Nfib modules (often with Nfia, Nfix, Neurod2, Neurod6, Tcf4) recur in V0-V3 and MNs. Fractions of Onecut2+ and Pou2f2+ neurons peak before e11.5, while Nfib and Neurod2 come on at e12.5 or e13.5. Staining showed Pou2f2 in neurons at e10.5; Nfib was absent from neurons at e11.5 but present at e13.5. · Modular and temporal specification of neuronal…; Temporal specification of neuronal subtype…; Figure legends
ShownPseudotime ordering along the first principal component, rebuilt separately for each domain, predicts that domain-specific transcription factors rise briefly as neurogenesis begins, while broadly expressed progenitor factors do not. Immunostaining confirmed this.
PCA on 100 genes (114 from 4 modules minus 14 with dorsoventral bias); spline fits for 36 regionally patterned genes. Olig3 peaked with Neurog1/Neurog2 in dp2/dp3, Dbx1 rose in Neurog1+ p0 cells, and Nkx2.2 rose in Olig3+ V3 neurons at e11.5. Msx1, Pax3, Pax6 and Sox2 showed no such rise. · Reconstruction of the gene expression dynamics…; Dynamics of gene expression during neurogenesis; Neuronal trajectories and Pseudotime…; Figure legends
Methods, data and reproducibility
10x Genomics Chromium 3' v2 scRNA-seq of microdissected cervical and thoracic neural tube at 5 time points. Cells were assigned to 13 progenitor and 12 neuronal populations by Euclidean distance to a binarized marker matrix, then analysed with combinatorial likelihood-ratio expression tests, gene-module subclustering and PC1 pseudotime with spline fits.
- Droplet scRNA-seq of microdissected cervical and thoracic neural tube from single embryos at e9.5-e13.5 (two replicates at e9.5-e11.5, three at e12.5 and e13.5) · mouse (outbred CD1) · n = 41,025 cells sequenced; 38976 after QC · ArrayExpress E-MTAB-7320
- Post-QC cells per stage: e9.5 7476, e10.5 6769, e11.5 6634, e12.5 8711, e13.5 9386 · mouse (outbred CD1) · n = 38976 cells
- Cells cited in the introduction and discussion as recovered from cervical and thoracic neural tube for the atlas · mouse (outbred CD1) · n = 21465 cells
- Immunofluorescence on 14 µm transverse spinal cord cryosections at e10.5-e13.5 testing predicted expression patterns · mouse (outbred UKCrl:CD1)
- Published progenitor domain size quantification (Kicheva et al 2014) used as an independent comparator for domain dynamics
- Methods & tools
- 10x Genomics Chromium Single Cell 3' v2, Illumina HiSeq 4000 (100bp paired-end), Cell Ranger 2.2.0 (STAR aligner), Monocle 2.6.4 (differentialGeneTest, genSmoothCurves), ArrayBin (binarize.array), R, tSNE, Hierarchical clustering of Spearman/Ward gene modules, Principal component analysis pseudotime, Zeiss Imager.Z2 with Apotome.2 immunofluorescence imaging, Fiji Grid/Collection stitching plugin, Gene Ontology terms GO:0098609 and GO:0006836
- Data & accessions
- http://www.ebi.ac.uk/arrayexpress/experiments/E-MTAB-7320https://github.com/juliendelile/MouseSpinalCordAtlas
- Reagents & environment
- Cell Ranger version 2.2.0 (default settings, STAR aligner); Monocle version 2.6.4; downstream analysis in R using the ArrayBin package. The R version and other package versions are not given.
- Reproducibility gaps
- No container, R version or full package list is given. Nrxn1 expression in excitatory neurons and Hoxc9 expression in clade MN.7 are reported as data not shown.
Limitations (6)
- Cell type diversity is probably underestimated. Sampling more cells, especially at e12.5 and e13.5, and capturing transcriptomes more sensitively could reveal more subtypes, such as the many motor neuron pools and V1 subsets described elsewhere. · stated by the authors
- Sampling was limited to cervical and thoracic neural tube, so cell types found only in lumbar and sacral spinal cord are absent. · stated by the authors
- Changing expression, transcriptome complexity and single-cell technical noise mean objective criteria are still needed to define and delimit cell types. · stated by the authors
- Two proposals remain untested and need experiments: that progenitor competence factors (Sox9, Nfia/b) drive the temporal switch in neuronal subtypes, and the mechanism behind the brief rise of domain-specific transcription factors. · stated by the authors
- Cell identities come from a curated binary marker matrix (2-UMI threshold), and subclustering from manually curated gene modules, so cell states without known markers may be forced into existing classes. The immunostaining checks are qualitative, with no quantified co-expression. · noted in this summary
- The cell counts are hard to reconcile. The text reports 41,025 sequenced, 38976 post-QC and 33754 tissue-classified cells, yet the introduction and discussion cite 21465 cells without saying how that subset was defined. · noted in this summary
Read this if you study spinal cord patterning, neurogenesis, or how interneuron and motor neuron subtypes are specified, and want an embryonic single-cell reference with experimentally validated new marker genes.
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Abstract
The coordinated spatial and temporal regulation of gene expression in the vertebrate neural tube determines the identity of neural progenitors and the function and physiology of the neurons they generate. Progress has been made deciphering the gene regulatory programmes responsible for this process, however, the complexity of the tissue has hampered the systematic analysis of the network and the underlying mechanisms. To address this, we used single cell mRNA sequencing to profile cervical and thoracic regions of the developing mouse neural tube between embryonic days (e)9.5-e13.5. We confirmed the data accurately recapitulates neural tube development, allowing us to identify new markers for specific progenitor and neuronal populations. In addition, the analysis highlighted a previously underappreciated temporal component to the mechanisms generating neuronal diversity and revealed common features in the sequence of transcriptional events that lead to the differentiation of specific neuronal subtypes. Together the data provide a compendium of gene expression for classifying spinal cord cell types that will support future studies of neural tube development, function, and disease.
- organism: mouse
- assay: scRNA-seq
- assay: imaging
- research focus: cell type annotation
- research focus: differential expression
- research focus: trajectory inference
- research focus: database / resource
- approach: experimental assay
- approach: statistical model
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