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Single cell transcriptomics of primate sensory neurons identifies cell types associated with human chronic pain

ABSTRACT: This SuperSeries is composed of the SubSeries listed below.

ORGANISM(S): Macaca mulatta

PROVIDER: GSE165569 | GEO | 2021/01/27

REPOSITORIES: GEO

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Single cell transcriptomics of primate sensory neurons identifies cell types associated with chronic pain.

Project description:Distinct types of dorsal root ganglion sensory neurons may have unique contributions to chronic pain. Identification of primate sensory neuron types is critical for understanding the cellular origin and heritability of chronic pain. However, molecular insights into the primate sensory neurons are missing. Here we classify non-human primate dorsal root ganglion sensory neurons based on their transcriptome and map human pain heritability to neuronal types. First, we identified cell correlates between two major datasets for mouse sensory neuron types. Machine learning exposes an overall cross-species conservation of somatosensory neurons between primate and mouse, although with differences at individual gene level, highlighting the importance of primate data for clinical translation. We map genomic loci associated with chronic pain in human onto primate sensory neuron types to identify the cellular origin of chronic pain. Genome-wide associations for chronic pain converge on two different neuronal types distributed between pain disorders that display different genetic susceptibilities, suggesting both unique and shared mechanisms between different pain conditions.

| S-EPMC7940623 | biostudies-literature

Single cell transcriptomics of primate sensory neurons identifies cell types associated with chronic pain [Wafergen]

2021-01-27 | GSE165566 | GEO

Single cell transcriptomics of primate sensory neurons identifies cell types associated with chronic pain [SmartSeq2]

2021-01-27 | GSE165553 | GEO

Single cell transcriptomics of primate sensory neurons identifies cell types associated with chronic pain [SmartSeq2]

Project description:Single cell transcriptomics of primate sensory neurons identifies cell types associated with chronic pain [SmartSeq2]

| PRJNA694961 | ENA

Single cell transcriptomics of primate sensory neurons identifies cell types associated with chronic pain [Wafergen]

Project description:Single cell transcriptomics of primate sensory neurons identifies cell types associated with chronic pain [Wafergen]

| PRJNA694992 | ENA

Single cell transcriptomics of primate sensory neurons identifies cell types associated with human chronic pain

Project description:Single cell transcriptomics of primate sensory neurons identifies cell types associated with human chronic pain

| PRJNA694973 | ENA

Coupled Activation of Primary Sensory Neurons Contributes to Chronic Pain.

Project description:Primary sensory neurons in the DRG play an essential role in initiating pain by detecting painful stimuli in the periphery. Tissue injury can sensitize DRG neurons, causing heightened pain sensitivity, often leading to chronic pain. Despite the functional importance, how DRG neurons function at a population level is unclear due to the lack of suitable tools. Here we developed an imaging technique that allowed us to simultaneously monitor the activities of >1,600 neurons/DRG in live mice and discovered a striking neuronal coupling phenomenon that adjacent neurons tend to activate together following tissue injury. This coupled activation occurs among various neurons and is mediated by an injury-induced upregulation of gap junctions in glial cells surrounding DRG neurons. Blocking gap junctions attenuated neuronal coupling and mechanical hyperalgesia. Therefore, neuronal coupling represents a new form of neuronal plasticity in the DRG and contributes to pain hypersensitivity by "hijacking" neighboring neurons through gap junctions.

| S-EPMC5017920 | biostudies-literature

DestVI identifies continuums of cell types in spatial transcriptomics data.

Project description:Most spatial transcriptomics technologies are limited by their resolution, with spot sizes larger than that of a single cell. Although joint analysis with single-cell RNA sequencing can alleviate this problem, current methods are limited to assessing discrete cell types, revealing the proportion of cell types inside each spot. To identify continuous variation of the transcriptome within cells of the same type, we developed Deconvolution of Spatial Transcriptomics profiles using Variational Inference (DestVI). Using simulations, we demonstrate that DestVI outperforms existing methods for estimating gene expression for every cell type inside every spot. Applied to a study of infected lymph nodes and of a mouse tumor model, DestVI provides high-resolution, accurate spatial characterization of the cellular organization of these tissues and identifies cell-type-specific changes in gene expression between different tissue regions or between conditions. DestVI is available as part of the open-source software package scvi-tools ( https://scvi-tools.org ).

| S-EPMC9756396 | biostudies-literature

Single cell transcriptomics in olfactory sensory neurons

Project description:High-throughput sequencing of individual olfactory sensory neurons from adult male mice.A multiplexed library of 72 single cells was prepared and purified using the Nextera XT DNA. This data is part of a pre-publication release. For information on the proper use of pre-publication data shared by the Wellcome Trust Sanger Institute (including details of any publication moratoria), please see http://www.sanger.ac.uk/datasharing/

2013-11-25 | E-ERAD-199 | biostudies-arrayexpress

Single cell transcriptomics in olfactory sensory neurons

Project description:High-throughput sequencing of individual olfactory sensory neurons from adult male mice.This data is part of a pre-publication release. For information on the proper use of pre-publication data shared by the Wellcome Trust Sanger Institute (including details of any publication moratoria), please see http://www.sanger.ac.uk/datasharing/

2014-10-01 | E-ERAD-307 | biostudies-arrayexpress

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