The Development of Mechanical Allodynia in Diabetic Rats Revealed by Single-Cell RNA-Seq

Zhou, Han; Yang, Xiaosheng; Liao, Chenlong; Chen, Hongjin; Wu, Yiwei; Xie, Binran; Ma, Fukai; Zhang, WenChuan

doi:10.3389/fnmol.2022.856299

Cited by 13 publications

(9 citation statements)

References 71 publications

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“…The genes enriched in MAAC recapitulated neurofilament, axon, synapse, and receptor-related biological processes, but not metabolic processes. The gene expression pattern of MAAC was close to that of peptidergic nociceptor neuron cluster; whereas MAAC decreased the genes involved in inflammatory response ( 47 ). Further studies with regard to these phenomena may clarify the pathobiology of pain symptoms.…”

Section: Omics Studies Of Animal Dpn Modelsmentioning

confidence: 90%

Advantages of omics approaches for elucidating metabolic changes in diabetic peripheral neuropathy

Yako,

Niimi,

Takaku

et al. 2023

Front. Endocrinol.

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Various animal and cell culture models of diabetes mellitus (DM) have been established and utilized to study diabetic peripheral neuropathy (DPN). The divergence of metabolic abnormalities among these models makes their etiology complicated despite some similarities regarding the pathological and neurological features of DPN. Thus, this study aimed to review the omics approaches toward DPN, especially on the metabolic states in diabetic rats and mice induced by chemicals (streptozotocin and alloxan) as type 1 DM models and by genetic mutations (MKR, db/db and ob/ob) and high-fat diet as type 2 DM models. Omics approaches revealed that the pathways associated with lipid metabolism and inflammation in dorsal root ganglia and sciatic nerves were enriched and controlled in the levels of gene expression among these animal models. Additionally, these pathways were conserved in human DPN, indicating the pivotal pathogeneses of DPN. Omics approaches are beneficial tools to better understand the association of metabolic changes with morphological and functional abnormalities in DPN.

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Section: Omics Studies Of Animal Dpn Modelsmentioning

confidence: 90%

Advantages of omics approaches for elucidating metabolic changes in diabetic peripheral neuropathy

Yako,

Niimi,

Takaku

et al. 2023

Front. Endocrinol.

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“…The component heterogeneity of somatosensory neurons in the DRG is essential to relay different peripheral inputs to the central nervous system ( Abraira and Ginty, 2013 ; Gatto et al, 2019 ; Li et al, 2016 ; Todd, 2010 ). The heterogeneity in the molecular transcriptomes, neuronal types, and functional properties of DRG neurons in rodents has been well characterized ( Hu et al, 2016 ; Li et al, 2016 ; Renthal et al, 2020 ; Usoskin et al, 2015 ; Wang et al, 2021a ; Zhang et al, 2022 ; Zhou et al, 2022 ). Recently, emerging evidence has revealed the organization of human DRG somatosensory neurons ( Jung et al, 2023 ; Nguyen et al, 2021 ; Tavares-Ferreira et al, 2022 ; Yu et al, 2023 ).…”

Section: Discussionmentioning

confidence: 99%

Spatial transcriptomics and single-nucleus RNA sequencing reveal a transcriptomic atlas of adult human spinal cord

Zhang,

Chen,

Wei

et al. 2024

eLife

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Despite the recognized importance of the spinal cord in sensory processing, motor behaviors, and neural diseases, the underlying organization of neuronal clusters and their spatial location remain elusive. Recently, several studies have attempted to define the neuronal types and functional heterogeneity in the spinal cord using single-cell or single-nucleus RNA sequencing in animal models or developing humans. However, molecular evidence of cellular heterogeneity in the adult human spinal cord is limited. Here, we classified spinal cord neurons into 21 subclusters and determined their distribution from nine human donors using single-nucleus RNA sequencing and spatial transcriptomics. Moreover, we compared the human findings with previously published single-nucleus data of the mouse adult spinal cord, which revealed an overall similarity in the neuronal composition of the spinal cord between the two species while simultaneously highlighting some degree of heterogeneity. Additionally, we examined the sex differences in the spinal neuronal subclusters. Several genes, such as SCN10A and HCN1, showed sex differences in motor neurons. Finally, we classified human dorsal root ganglia (DRG) neurons using spatial transcriptomics and explored the putative interactions between DRG and spinal cord neuronal subclusters. In summary, these results illustrate the complexity and diversity of spinal neurons in humans and provide an important resource for future research to explore the molecular mechanisms underlying spinal cord physiology and diseases.

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“…(E) Neuronal subtypes of mouse DRG from the study of Hu et al (2016) . (F) Neuronal subtypes of mouse DRG from the study of Zhou et al (2022) . (G) Neuronal subtypes of rat DRG by Zhang et al (2022) .…”

Section: Mouse Neuronal Typesmentioning

confidence: 99%

“… Zhou et al (2022) examined gene expression profiles of rat DRG by scRNA-seq. They identified eight major cell types, including neurons, satellite glial cells (SGC), proliferating SGC, Schwann cells, fibroblasts, vascular smooth muscle cells, vascular endothelial cells, and microglia.…”

Section: Rat Neuronal Typesmentioning

confidence: 99%

“…In general, DRG neurons across species were classified into PEPs and NPs ( Usoskin et al, 2015 ; Hu et al, 2016 ; Renthal et al, 2020 ; Kupari et al, 2021 ; Wang et al, 2021 ; Zhang et al, 2022 ; Zhou et al, 2022 ; Jung et al, 2023 ; Yu et al, 2023 ), NFs ( Usoskin et al, 2015 ; Renthal et al, 2020 ; Zhang et al, 2022 ), and C-LTMRs ( Usoskin et al, 2015 ; Hu et al, 2016 ; Li et al, 2016 ; Renthal et al, 2020 ; Kupari et al, 2021 ; Tavares-Ferreira et al, 2022 ; Zhou et al, 2022 ; Jung et al, 2023 ; Yu et al, 2023 ) in most included studies of this review. Other common neuronal subtypes, such as TRPM8 ( Kupari et al, 2021 ; Zhou et al, 2022 ; Jung et al, 2023 ; Yu et al, 2023 ), SST ( Renthal et al, 2020 ; Zhou et al, 2022 ; Jung et al, 2023 ; Yu et al, 2023 ), proprioceptors ( Usoskin et al, 2015 ; Hu et al, 2016 ; Tavares-Ferreira et al, 2022 ; Jung et al, 2023 ; Yu et al, 2023 ), Aβ-LTMR ( Renthal et al, 2020 ; Tavares-Ferreira et al, 2022 ; Jung et al, 2023 ; Yu et al, 2023 ), Aδ-LTMR ( Tavares-Ferreira et al, 2022 ; Jung et al, 2023 ; Yu et al, 2023 ) were commonly identified in several studies. Nevertheless, some subclusters were specifically reported in individual studies, such as MHNs and MNs ( Li et al, 2016 ), TH ( Usoskin et al, 2015 ), hATF3, hPIEZO, and hKIT ( Yu et al, 2023 ).…”

Section: Similarities or Differences Between Different Studies In Ter...mentioning

confidence: 99%

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Single-cell transcriptomic profiling of dorsal root ganglion: an overview

Xie

Zhu

et al. 2023

Front. Neuroanat.

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The somatosensory neurons in the dorsal root ganglion (DRG) are responsible to detect peripheral physical and noxious stimuli, and then transmit these inputs into the central nervous system. DRG neurons are composed of various subpopulations, which are suggested to respond to different stimuli, such as mechanical, thermal, and cold perception. For a long time, DRG neurons were classified based on anatomical criteria. Recently, single-cell (scRNA-seq) and single-nucleus RNA-sequencing (snRNA-seq) has advanced our understanding of the composition and functional heterogeneity of both human and rodent DRG neurons at single-cell resolution. In this review, we summarized the current literature regarding single-cell transcriptomic profiling of DRG to provide an integral understanding in the molecular transcriptomes, cell types, and functional annotations of DRG neurons in humans and rodents.

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The Development of Mechanical Allodynia in Diabetic Rats Revealed by Single-Cell RNA-Seq

Cited by 13 publications

References 71 publications

Advantages of omics approaches for elucidating metabolic changes in diabetic peripheral neuropathy

Advantages of omics approaches for elucidating metabolic changes in diabetic peripheral neuropathy

Spatial transcriptomics and single-nucleus RNA sequencing reveal a transcriptomic atlas of adult human spinal cord

Single-cell transcriptomic profiling of dorsal root ganglion: an overview

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