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Decoding hereditary spastic paraplegia pathogenicity through transcriptomic profiling
Hereditary spastic paraplegia (HSP) is a group of genetic motor neuron diseases resulting from length-dependent axonal degeneration of the corticospinal upper motor neurons. Due to the advancement of next-generation sequencing, more than 70 novel HSP disease-causing genes have been identified in the...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Science Press
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10236304/ https://www.ncbi.nlm.nih.gov/pubmed/37161652 http://dx.doi.org/10.24272/j.issn.2095-8137.2022.281 |
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author | Ho, Nicolas James Chen, Xiao Lei, Yong Gu, Shen |
author_facet | Ho, Nicolas James Chen, Xiao Lei, Yong Gu, Shen |
author_sort | Ho, Nicolas James |
collection | PubMed |
description | Hereditary spastic paraplegia (HSP) is a group of genetic motor neuron diseases resulting from length-dependent axonal degeneration of the corticospinal upper motor neurons. Due to the advancement of next-generation sequencing, more than 70 novel HSP disease-causing genes have been identified in the past decade. Despite this, our understanding of HSP physiopathology and the development of efficient management and treatment strategies remain poor. One major challenge in studying HSP pathogenicity is selective neuronal vulnerability, characterized by the manifestation of clinical symptoms that are restricted to specific neuronal populations, despite the presence of germline disease-causing variants in every cell of the patient. Furthermore, disease genes may exhibit ubiquitous expression patterns and involve a myriad of different pathways to cause motor neuron degeneration. In the current review, we explore the correlation between transcriptomic data and clinical manifestations, as well as the importance of interspecies models by comparing tissue-specific transcriptomic profiles of humans and mice, expression patterns of different genes in the brain during development, and single-cell transcriptomic data from related tissues. Furthermore, we discuss the potential of emerging single-cell RNA sequencing technologies to resolve unanswered questions related to HSP pathogenicity. |
format | Online Article Text |
id | pubmed-10236304 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Science Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-102363042023-06-03 Decoding hereditary spastic paraplegia pathogenicity through transcriptomic profiling Ho, Nicolas James Chen, Xiao Lei, Yong Gu, Shen Zool Res Article Hereditary spastic paraplegia (HSP) is a group of genetic motor neuron diseases resulting from length-dependent axonal degeneration of the corticospinal upper motor neurons. Due to the advancement of next-generation sequencing, more than 70 novel HSP disease-causing genes have been identified in the past decade. Despite this, our understanding of HSP physiopathology and the development of efficient management and treatment strategies remain poor. One major challenge in studying HSP pathogenicity is selective neuronal vulnerability, characterized by the manifestation of clinical symptoms that are restricted to specific neuronal populations, despite the presence of germline disease-causing variants in every cell of the patient. Furthermore, disease genes may exhibit ubiquitous expression patterns and involve a myriad of different pathways to cause motor neuron degeneration. In the current review, we explore the correlation between transcriptomic data and clinical manifestations, as well as the importance of interspecies models by comparing tissue-specific transcriptomic profiles of humans and mice, expression patterns of different genes in the brain during development, and single-cell transcriptomic data from related tissues. Furthermore, we discuss the potential of emerging single-cell RNA sequencing technologies to resolve unanswered questions related to HSP pathogenicity. Science Press 2023-05-18 /pmc/articles/PMC10236304/ /pubmed/37161652 http://dx.doi.org/10.24272/j.issn.2095-8137.2022.281 Text en https://creativecommons.org/licenses/by-nc/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) ), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Article Ho, Nicolas James Chen, Xiao Lei, Yong Gu, Shen Decoding hereditary spastic paraplegia pathogenicity through transcriptomic profiling |
title | Decoding hereditary spastic paraplegia pathogenicity through transcriptomic profiling |
title_full | Decoding hereditary spastic paraplegia pathogenicity through transcriptomic profiling |
title_fullStr | Decoding hereditary spastic paraplegia pathogenicity through transcriptomic profiling |
title_full_unstemmed | Decoding hereditary spastic paraplegia pathogenicity through transcriptomic profiling |
title_short | Decoding hereditary spastic paraplegia pathogenicity through transcriptomic profiling |
title_sort | decoding hereditary spastic paraplegia pathogenicity through transcriptomic profiling |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10236304/ https://www.ncbi.nlm.nih.gov/pubmed/37161652 http://dx.doi.org/10.24272/j.issn.2095-8137.2022.281 |
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