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The molecular landscape of neurological disorders: insights from single-cell RNA sequencing in neurology and neurosurgery

Single-cell ribonucleic acid sequencing (scRNA-seq) has emerged as a transformative technology in neurological and neurosurgical research, revolutionising our comprehension of complex neurological disorders. In brain tumours, scRNA-seq has provided valuable insights into cancer heterogeneity, the tu...

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Autores principales: Awuah, Wireko Andrew, Ahluwalia, Arjun, Ghosh, Shankaneel, Roy, Sakshi, Tan, Joecelyn Kirani, Adebusoye, Favour Tope, Ferreira, Tomas, Bharadwaj, Hareesha Rishab, Shet, Vallabh, Kundu, Mrinmoy, Yee, Amanda Leong Weng, Abdul-Rahman, Toufik, Atallah, Oday
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10652629/
https://www.ncbi.nlm.nih.gov/pubmed/37974227
http://dx.doi.org/10.1186/s40001-023-01504-w
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author Awuah, Wireko Andrew
Ahluwalia, Arjun
Ghosh, Shankaneel
Roy, Sakshi
Tan, Joecelyn Kirani
Adebusoye, Favour Tope
Ferreira, Tomas
Bharadwaj, Hareesha Rishab
Shet, Vallabh
Kundu, Mrinmoy
Yee, Amanda Leong Weng
Abdul-Rahman, Toufik
Atallah, Oday
author_facet Awuah, Wireko Andrew
Ahluwalia, Arjun
Ghosh, Shankaneel
Roy, Sakshi
Tan, Joecelyn Kirani
Adebusoye, Favour Tope
Ferreira, Tomas
Bharadwaj, Hareesha Rishab
Shet, Vallabh
Kundu, Mrinmoy
Yee, Amanda Leong Weng
Abdul-Rahman, Toufik
Atallah, Oday
author_sort Awuah, Wireko Andrew
collection PubMed
description Single-cell ribonucleic acid sequencing (scRNA-seq) has emerged as a transformative technology in neurological and neurosurgical research, revolutionising our comprehension of complex neurological disorders. In brain tumours, scRNA-seq has provided valuable insights into cancer heterogeneity, the tumour microenvironment, treatment resistance, and invasion patterns. It has also elucidated the brain tri-lineage cancer hierarchy and addressed limitations of current models. Neurodegenerative diseases such as Alzheimer’s disease, Parkinson’s disease, and amyotrophic lateral sclerosis have been molecularly subtyped, dysregulated pathways have been identified, and potential therapeutic targets have been revealed using scRNA-seq. In epilepsy, scRNA-seq has explored the cellular and molecular heterogeneity underlying the condition, uncovering unique glial subpopulations and dysregulation of the immune system. ScRNA-seq has characterised distinct cellular constituents and responses to spinal cord injury in spinal cord diseases, as well as provided molecular signatures of various cell types and identified interactions involved in vascular remodelling. Furthermore, scRNA-seq has shed light on the molecular complexities of cerebrovascular diseases, such as stroke, providing insights into specific genes, cell-specific expression patterns, and potential therapeutic interventions. This review highlights the potential of scRNA-seq in guiding precision medicine approaches, identifying clinical biomarkers, and facilitating therapeutic discovery. However, challenges related to data analysis, standardisation, sample acquisition, scalability, and cost-effectiveness need to be addressed. Despite these challenges, scRNA-seq has the potential to transform clinical practice in neurological and neurosurgical research by providing personalised insights and improving patient outcomes.
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spelling pubmed-106526292023-11-16 The molecular landscape of neurological disorders: insights from single-cell RNA sequencing in neurology and neurosurgery Awuah, Wireko Andrew Ahluwalia, Arjun Ghosh, Shankaneel Roy, Sakshi Tan, Joecelyn Kirani Adebusoye, Favour Tope Ferreira, Tomas Bharadwaj, Hareesha Rishab Shet, Vallabh Kundu, Mrinmoy Yee, Amanda Leong Weng Abdul-Rahman, Toufik Atallah, Oday Eur J Med Res Review Single-cell ribonucleic acid sequencing (scRNA-seq) has emerged as a transformative technology in neurological and neurosurgical research, revolutionising our comprehension of complex neurological disorders. In brain tumours, scRNA-seq has provided valuable insights into cancer heterogeneity, the tumour microenvironment, treatment resistance, and invasion patterns. It has also elucidated the brain tri-lineage cancer hierarchy and addressed limitations of current models. Neurodegenerative diseases such as Alzheimer’s disease, Parkinson’s disease, and amyotrophic lateral sclerosis have been molecularly subtyped, dysregulated pathways have been identified, and potential therapeutic targets have been revealed using scRNA-seq. In epilepsy, scRNA-seq has explored the cellular and molecular heterogeneity underlying the condition, uncovering unique glial subpopulations and dysregulation of the immune system. ScRNA-seq has characterised distinct cellular constituents and responses to spinal cord injury in spinal cord diseases, as well as provided molecular signatures of various cell types and identified interactions involved in vascular remodelling. Furthermore, scRNA-seq has shed light on the molecular complexities of cerebrovascular diseases, such as stroke, providing insights into specific genes, cell-specific expression patterns, and potential therapeutic interventions. This review highlights the potential of scRNA-seq in guiding precision medicine approaches, identifying clinical biomarkers, and facilitating therapeutic discovery. However, challenges related to data analysis, standardisation, sample acquisition, scalability, and cost-effectiveness need to be addressed. Despite these challenges, scRNA-seq has the potential to transform clinical practice in neurological and neurosurgical research by providing personalised insights and improving patient outcomes. BioMed Central 2023-11-16 /pmc/articles/PMC10652629/ /pubmed/37974227 http://dx.doi.org/10.1186/s40001-023-01504-w Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Review
Awuah, Wireko Andrew
Ahluwalia, Arjun
Ghosh, Shankaneel
Roy, Sakshi
Tan, Joecelyn Kirani
Adebusoye, Favour Tope
Ferreira, Tomas
Bharadwaj, Hareesha Rishab
Shet, Vallabh
Kundu, Mrinmoy
Yee, Amanda Leong Weng
Abdul-Rahman, Toufik
Atallah, Oday
The molecular landscape of neurological disorders: insights from single-cell RNA sequencing in neurology and neurosurgery
title The molecular landscape of neurological disorders: insights from single-cell RNA sequencing in neurology and neurosurgery
title_full The molecular landscape of neurological disorders: insights from single-cell RNA sequencing in neurology and neurosurgery
title_fullStr The molecular landscape of neurological disorders: insights from single-cell RNA sequencing in neurology and neurosurgery
title_full_unstemmed The molecular landscape of neurological disorders: insights from single-cell RNA sequencing in neurology and neurosurgery
title_short The molecular landscape of neurological disorders: insights from single-cell RNA sequencing in neurology and neurosurgery
title_sort molecular landscape of neurological disorders: insights from single-cell rna sequencing in neurology and neurosurgery
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10652629/
https://www.ncbi.nlm.nih.gov/pubmed/37974227
http://dx.doi.org/10.1186/s40001-023-01504-w
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