(A) Universal manifold (UMAP) representation of graph-based co-clustered snRNA sequences from human DRG nuclei reveal two well separated groups corresponding to sensory neurons (colored) and …
(A) Confocal image showing section of a DRG ganglion stained using NeuN histochemistry (red) and neurotrace (green). Note that the large diameter neurons are strongly NeuN positive whereas …
(A) Universal manifold (UMAP) representation showing relative expression levels of the neuronal marker SNAP25 (blue) and the non-neuronal gene APOE (red) in the initial clustering of sn-RNA …
Universal manifold (UMAP) representations showing analysis of human DRG neurons using different parameters in Seurat. The choice of principal components (PCs) used for UMAP display and clustering is …
Universal manifold (UMAP) representations: upper panels, human sn-RNA sequencing; lower panels, mouse sn-RNA sequencing. To the left, identity of the different neuronal types is differentially …
Dotplots displaying information about the fractional expression and relative expression level of marker genes in the different identity classes of mouse (left, gray-green scale) and human (right, …
(A) Universal manifold (UMAP) representation of mouse and human dorsal root ganglia (DRG) neurons showing relative expression level (blue) of two genes that have been linked to pain sensation in …
The extensive autofluorescence in ISH of human dorsal root ganglia (DRG) section prevents automated signal detection. Thus, quantitation of ISH data involves manually scoring positive and negative …
(A) Dotplots displaying information about the fractional expression and relative expression level of marker genes in the different identity classes of mouse (left, gray-green scale) and human …
(A) Universal manifold (UMAP) representation of the co-clustering of mouse and human neurons. Upper panel shows the mouse neurons colored by their identity when analyzed alone (Figure 1—figure …
(A) Universal manifold (UMAP) representation of clustered mouse neurons using parameters that identify 19 different groups of cells and (B) their distribution in the co-clustering with human …
Confocal images of sections through a human DRG probed for expression of key markers using multiplexed in situ hybridization (ISH); see Figure 4—figure supplement 1 for the individual panels and …
Individual channels for the in situ hybridization (ISH) images in Figure 4 are shown to highlight the expression patterns described in the text. Strong autofluorescence signals that are present in …
(A) Confocal images of mouse lumbar dorsal root ganglia (DRG) in situ hybridization (ISH) showing Nefh (green) and Scn10a (red); scale bars = 100 µm. (B) The nearest n neighbors of Nefh and Scn10a …
(A) Confocal image of a section through a human dorsal root ganglia (DRG) probed for nociception-related genes using multiplexed in situ hybridization (ISH). In this view, many neurons expressing …
(A) Confocal in situ hybridization (ISH) images illustrating weak expression of itch-related transcripts HRH1 (upper panels, red) and NPPB (lower panels, red) in H10 and H11 neurons. Left image …
(A) Dotplots displaying information about the fractional expression and relative expression level of marker genes in the different identity classes of mouse (left, gray-green scale) and human …
Reagent type (species) or resource | Designation | Source or reference | Identifiers | Additional information |
---|---|---|---|---|
Strain, strain background (Mus musculus) | C57BL/6NCrl | Charles River | Strain code: 027 | Male and female |
Antibody | anti-NeuN (rabbit polyclonal) | Millipore | Cat#ABN78 | (1:4000 for nuclei isolation)(1:1000 for IHC) |
Antibody | anti-Tubb3 (mouse monoclonal) | Proteintech | Cat#66375-1-Ig | (1:500) |
Antibody | anti-rabbit Cy3-conjugated(donkey polyclonal) | JacksonImmuno Research | Cat#711-166-152 | (1:1000) |
Antibody | anti-mouse FITC-conjugated(donkey polyclonal) | JacksonImmuno Research | cat#715-096-150 | (1:1000) |
Sequence-based reagent | Chromium Next GEM Single Cell 3′ GEM, Library & Gel Bead Kit v3.1 | ×10 Genomics | Cat#1000128 | |
Sequence-based reagent | Chromium Next GEM Chip G Single Cell Kit | ×10 Genomics | Cat#1000127 | |
Commercial assay or kit | RNAscope HiPlex8 Detection reagents | Advanced Cell Diagnostics | Cat#324110 | |
Commercial assay or kit | RNAscope HiPlex12 Ancillary reagents | Advanced Cell Diagnostics | Cat#324120 | |
Commercial assay or kit | Human RNAscope probes (HiPlex 12) | Advanced Cell Diagnostics | NEFH (cat# 448141); TRPM8 (cat# 543121); PIEZO2 (cat# 449951); SCN10A (cat# 406291); NTRK2 (cat# 402621); TAC1 (cat# 310711); OSMR (cat# 537121); SST (cat# 310591); TRPV1 (cat# 415381); PVALB (cat# 422181) | |
Commercial assay or kit | RNAscope Fluorescent Multiplex assay | Advanced Cell Diagnostics | Cat #320851 | |
Commercial assay or kit | Mouse RNAscope probes(MultiPlex) | Advanced Cell Diagnostics | Scn10a (cat#426011); Nefh (cat#443671) | |
Commercial assay or kit | Human RNAscope probes(MultiPlex) | Advanced Cell Diagnostics | OSMR (cat#537121); SST (cat# 310591); HRH1 (cat#416501); NPPB (cat#448511); | |
Commercial assay or kit | NeuroTrace Green | Fisher Scientific | Cat#N21480 | (1:100) |
Software, algorithm | CellRanger | ×10 Genomics | Version 2.1.1 | GRCh38.v25. premRNA |
Software, algorithm | Seurat | Satija lab | Versions 3-4.04 | https://satijalab.org/seurat/ |
Software, algorithm | Python | python.org | Version 3.7. | |
Software, algorithm | scipy.stats | scipy.org | Version 1.5.2 | |
Software, algorithm | scikit-learn | scikit-learn.org | Version 0.23.2 | |
Software, algorithm | RStudio | https://www.rstudio.com/ | Version 1.4.1106 | |
Software, algorithm | R | https://www.r-project.org/ | R version 4.1.1 | |
Software, algorithm | DoubletFinder | https://github.com/chris-mcginnis-ucsf/DoubletFinder | McGinnis lab (McGinnis, 2021) | |
Software, algorithm | ImageJ | http://imagej.nih.gov/ij | ImageJ 1.53 c | |
Software, algorithm | Adobe Photoshop | https://www.adobe.com/ | 25.5.1 release | |
Software, algorithm | kl_divergence | https://gist.github.com/lars-von-buchholtz/636f542ce8d93d5a14ae52a6c538ced5636f542ce8d93d5a14ae52a6c538ced5 | ||
Other | RNA-later | Thermo Fisher | Cat# AM7021 | |
Other | Spectrum Bessman tissue pulverizer | Fisher Scientific | Cat# 08-418-3 | |
Other | Dounce homogenizer | Fisher Scientific | Cat# 357538 | |
Other | 40 μm cell strainer | Thermo Fisher | Cat# 08-771-1 | |
Other | Low bind microfuge tubes | Sorenson BioScience | Cat# 11,700 | |
Other | SUPERaseIn RNase inhibitor | Thermo Fisher | Cat# AM2696 | 0.2 U/μl |
Other | anti-rabbit IgG microbeads | Miltenyi biotec | Cat# 130-048-602 | |
Other | LS column | Miltenyi biotec | Cat# 130-042-401 | |
Other | Mouse DRG dataset | Woolf lab | GSE154659 | Renthal et al., 2020, Neuron |
Preparation# | DRG1-F36 | DRG2-M36 | DRG3a-F34 | DRG3b-F34 | DRG4-F35 | DRG5-F55 |
---|---|---|---|---|---|---|
Number of reads | 273,123,313 | 121,333,026 | 105,113,253 | 101,427,234 | 90,306,793 | 94,069,716 |
Valid barcodes | 97.50% | 97.60% | 98.20% | 96.10% | 93.60% | 97.90% |
Sequencing saturation | 93.20% | 93.10% | 39.70% | 82.10% | 38.70% | 55.90% |
Q30 bases in barcode | 96.30% | 97.40% | 97.80% | 97.50% | 97.70% | 96.80% |
Q30 bases in RNA read | 88.30% | 85.90% | 87.40% | 91.50% | 93.40% | 92.20% |
Q30 bases in sample index | 96.00% | 96.80% | 97.40% | 96.60% | 96.60% | 94.80% |
Q30 bases in UMI | 95.50% | 97.00% | 97.60% | 97.00% | 97.20% | 96.10% |
Reads mapped confidently to genome | 86.50% | 81.20% | 71.20% | 16.90% | 10.80% | 18.10% |
Reads mapped confidently to intergenic regions | 4.10% | 4.20% | 4.00% | 1.30% | 0.90% | 1.20% |
Estimated number of cells | 584 | 273 | 6,180 | 223 | 872 | 999 |
Mean reads per cell | 467,676 | 444,443 | 17,008 | 454,830 | 135,189 | 94,163 |
Median genes per cell | 1917 | 709 | 786 | 481 | 872 | 812 |
Total genes detected | 24,646 | 17,559 | 28,759 | 17,338 | 24,798 | 25,027 |
Median UMI counts per cell | 2929 | 862 | 965 | 663 | 1,293 | 988 |
DRG cells in final object | 212 | 152 | 770 | 80 | 281 | 342 |