PXD042799
PXD042799 is an original dataset announced via ProteomeXchange.
Dataset Summary
Title | TDP-43-stratified single-cell proteomic profiling of postmortem human spinal motor neurons reveals protein dynamics in amyotrophic lateral sclerosis |
Description | Single cell dataset of human motor neurons laser-captured from postmortem ALS and control tissues (1) ALS Pilot dataset (2) TDP43 stratified dataset Summary: Unbiased proteomics has been employed to interrogate central nervous system (CNS) tissues (brain, spinal cord) and fluid matrices (CSF, plasma) from amyotrophic lateral sclerosis (ALS) patients; yet, a limitation of conventional bulk tissue studies is that motor neuron (MN) proteome signals may be confounded by admixed non-MN proteins. Recent advances in trace sample proteomics have enabled quantitative protein abundance datasets from single human MNs (Cong et al., 2020b). In this study, we leveraged laser capture microdissection (LCM) and nanoPOTS (Zhu et al., 2018c) single-cell mass spectrometry (MS)-based proteomics to query changes in protein expression in single MNs from postmortem ALS and control donor spinal cord tissues, leading to the identification of 2515 proteins across MNs samples (>900 per single MN) and quantitative comparison of 1870 proteins between disease groups. Furthermore, we studied the impact of enriching/stratifying MN proteome samples based on the presence and extent of immunoreactive, cytoplasmic TDP-43 inclusions, allowing identification of 3368 proteins across MNs samples and profiling of 2238 proteins across TDP-43 strata. We found extensive overlap in differential protein abundance profiles between MNs with or without obvious TDP-43 cytoplasmic inclusions that together point to early and sustained dysregulation of oxidative phosphorylation, mRNA splicing and translation, and retromer-mediated vesicular transport in ALS. Our data are the first unbiased quantification of single MN protein abundance changes associated with TDP-43 proteinopathy and begin to demonstrate the utility of pathology-stratified trace sample proteomics for understanding single-cell protein abundance changes in human neurologic diseases. |
HostingRepository | MassIVE |
AnnounceDate | 2024-01-08 |
AnnouncementXML | Submission_2024-01-08_15:13:52.881.xml |
DigitalObjectIdentifier | |
ReviewLevel | Peer-reviewed dataset |
DatasetOrigin | Original dataset |
RepositorySupport | Unsupported dataset by repository |
PrimarySubmitter | Amanda Guise |
SpeciesList | scientific name: Homo sapiens; common name: human; NCBI TaxID: 9606; |
ModificationList | Carbamidomethyl; Homocysteic_acid; Deamidated:18O(1); Acetyl; Met-loss |
Instrument | Orbitrap Exploris 480 |
Dataset History
Revision | Datetime | Status | ChangeLog Entry |
---|---|---|---|
0 | 2023-06-07 09:25:27 | ID requested | |
⏵ 1 | 2024-01-08 15:13:53 | announced |
Publication List
Guise AJ, Misal SA, Carson R, Chu JH, Boekweg H, Van Der Watt D, Welsh NC, Truong T, Liang Y, Xu S, Benedetto G, Gagnon J, Payne SH, Plowey ED, Kelly RT, TDP-43-stratified single-cell proteomics of postmortem human spinal motor neurons reveals protein dynamics in amyotrophic lateral sclerosis. Cell Rep, 43(1):113636(2024) [pubmed] |
Keyword List
submitter keyword: TDP-43 proteinopathy, single cell proteomics, nanoPOTS, laser capture microdissection (LCM, LMD), amyotrophic lateral sclerosis (ALS), motor neurone disease, retromer complex, stathmin 2 (STMN2) |
Contact List
Ryan Kelly | |
---|---|
contact affiliation | Brigham Young University |
contact email | ryan@chem.byu.edu |
lab head | |
Amanda Guise | |
contact affiliation | Biogen |
contact email | amanda.guise@biogen.com |
dataset submitter |
Full Dataset Link List
MassIVE dataset URI |
Dataset FTP location NOTE: Most web browsers have now discontinued native support for FTP access within the browser window. But you can usually install another FTP app (we recommend FileZilla) and configure your browser to launch the external application when you click on this FTP link. Or otherwise, launch an app that supports FTP (like FileZilla) and use this address: ftp://massive.ucsd.edu/MSV000092119/ |