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Article ; Online: TDP-43-stratified single-cell proteomics of postmortem human spinal motor neurons reveals protein dynamics in amyotrophic lateral sclerosis

Amanda J. Guise / Santosh A. Misal / Richard Carson / Jen-Hwa Chu / Hannah Boekweg / Daisha Van Der Watt / Nora C. Welsh / Thy Truong / Yiran Liang / Shanqin Xu / Gina Benedetto / Jake Gagnon / Samuel H. Payne / Edward D. Plowey / Ryan T. Kelly

Cell Reports, Vol 43, Iss 1, Pp 113636- (2024)

2024  

Abstract: Summary: A limitation of conventional bulk-tissue proteome studies in amyotrophic lateral sclerosis (ALS) is the confounding of motor neuron (MN) signals by admixed non-MN proteins. Here, we leverage laser capture microdissection and nanoPOTS single-cell ...

Abstract Summary: A limitation of conventional bulk-tissue proteome studies in amyotrophic lateral sclerosis (ALS) is the confounding of motor neuron (MN) signals by admixed non-MN proteins. Here, we leverage laser capture microdissection and nanoPOTS single-cell mass spectrometry-based proteomics to query changes in protein expression in single MNs from postmortem ALS and control tissues. In a follow-up analysis, we examine the impact of stratification of MNs based on cytoplasmic transactive response DNA-binding protein 43 (TDP-43)+ inclusion pathology on the profiles of 2,238 proteins. We report extensive overlap in differentially abundant proteins identified in ALS MNs with or without overt TDP-43 pathology, suggesting early and sustained dysregulation of cellular respiration, mRNA splicing, translation, and vesicular transport in ALS. Together, these data provide insights into proteome-level changes associated with TDP-43 proteinopathy and begin to demonstrate the utility of pathology-stratified trace sample proteomics for understanding single-cell protein dynamics in human neurologic diseases.
Keywords CP: Neuroscience ; CP: Molecular biology ; Biology (General) ; QH301-705.5
Subject code 612
Language English
Publishing date 2024-01-01T00:00:00Z
Publisher Elsevier
Document type Article ; Online
Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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