Related Experiment Video
Updated: May 8, 2026

Biochemical Purification and Proteomic Characterization of Amyloid Fibril Cores from the Brain
Published on: April 28, 2022
Spatial Single-Cell Proteomics Reveals Molecular Trajectories Of Tangle-Bearing Neurons In Alzheimer's Disease
M S Foiani1, M Bourdenx1, L Kraller2,3
1UK Dementia Research Institute, University College London, London, UK.
Researchers mapped the proteomic changes in Alzheimer's disease (AD) neurons, revealing a continuum of pathological states. This study identifies early neuronal vulnerabilities and adaptive responses in tau pathogenesis.
Area of Science:
- Neuroscience
- Proteomics
- Pathology
Background:
- Neurofibrillary tangles of hyperphosphorylated tau are key in Alzheimer's disease (AD).
- The transition from normal tau to tangle pathology is not well understood.
Purpose of the Study:
- To investigate the proteomic changes in individual neurons during Alzheimer's disease progression.
- To understand the continuum of neuronal states and adaptive responses in tau pathogenesis.
Main Methods:
- Integrated laser microdissection of human AD brain tissue with mass spectrometry-based proteomics.
- Analyzed proteomes of individual tangle-positive and tangle-negative neurons.
- Utilized pseudotime analysis and AI for proteomic data interpretation.
Main Results:
- Identified thousands of proteins and tau phosphorylation sites directly from brain tissue.
- Revealed a continuum of proteomic changes in neurons correlating with tau abundance, not discrete classes.
- Early stages show altered proteostasis and lysosomal pathways, followed by synaptic disruption.
- Neurons with tangles showed molecular adaptation rather than acute cell death.
Conclusions:
- Established a framework for single-cell proteome analysis in human brain disease.
- Defined a continuum of neuronal states in tau pathogenesis, highlighting early vulnerabilities and adaptations in AD.
More Related Videos
04:22Biomarker Identification for Gender Specificity of Alzheimer's Disease Based on the Glial Transcriptome Profiles
Published on: May 20, 2024
09:47DeepOmicsAE: Representing Signaling Modules in Alzheimer's Disease with Deep Learning Analysis of Proteomics, Metabolomics, and Clinical Data
Published on: December 15, 2023