PreprintCited by 23Advanced Proteomics Techniques and ApplicationsSingle-cell and spatial transcriptomicsMass Spectrometry Techniques and Applications

Single Cell Proteomics in the Developing Human Brain

Open access
Wu, Tianzhi, Jiang, Lihua, Mukhtar, Tanzila, Wang, Li, Jian, Ruiqi, Wang, Cheng, Trinh, Tiffany, Kriegstein, Arnold R. +2 more·2025·Nature Biotechnology

Preprint — published as 10.1038/s41587-025-02980-7 · Paper page

Abstract

Proteins are the functional effectors of virtually all biological processes, and accurately measuring their abundance and dynamics is essential for understanding development and disease. Although mRNA levels have historically been used as proxies for protein expression, growing evidence, especially from studies of the human cerebral cortex, has revealed widespread discordance between transcript and protein abundance. To directly address this limitation, we developed a rigorously optimized workflow that combines single-cell mass spectrometry with precise sample preparation to resolve, for the first time, quantitative proteomes of individual cells from the developing human brain. Our platform achieved deep proteomic coverage (∼800 proteins per cell) even in immature prenatal human neurons (5–10 μm diameter, ∼100 pg of protein per cell), capturing major brain cell types and enabling proteome-wide characterization at single-cell resolution. This approach revealed extensive transcriptome–proteome discordance across cell types, with particularly strong discrepancies in genes associated with neurodevelopmental disorders, a finding validated through orthogonal experiments. Proteins exhibited markedly higher cell-type specificity than their mRNA counterparts, underscoring the importance of proteomic-level analysis for resolving cellular identity and function. By reconstructing developmental trajectories from radial glia to excitatory neurons at the proteomic level, we identified dynamic stage-specific protein co-expression modules and pinpointed the intermediate progenitor-to-neuron transition as a molecularly vulnerable phase linked to autism. Altogether, by enabling single cell proteomics, this study establishes a foundational resource and technological advance for developmental neuroscience. It demonstrates that single-cell proteomics can capture critical developmental events and disease mechanisms that are undetectable at the transcript level. As this technology continues to improve in sensitivity and scalability, single-cell proteomics will become an indispensable tool for uncovering the molecular logic of brain development and for illuminating pathophysiological processes underlying neurodevelopmental disorders.

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Authors
Wu, T., Jiang, L., Mukhtar, T., Wang, L., Jian, R., Wang, C., Trinh, T., Kriegstein, A. R., Snyder, M., & Li, J.
Affiliations
  • University of California, San Francisco (US)
  • Stanford Medicine (US)
Corresponding author
  • Kriegstein, Arnold R.
  • Snyder, Michael
  • Li, Jingjing
Venue
Nature Biotechnology
Publisher
openRxiv
Published
2025-06-24
Volume
44
Issue
8
Pages
1391-1404
ISSN
0733-222X (ISSN-L)
OpenAlex
W7125786661
Cited by
23
References
3
Citations by year
2026: 21 · 2025: 2
FWCI
31.93
Type
journal article
Language
en
Open access
Locations
  • Nature Biotechnology (publishedVersion)
  • bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc)
  • PubMed (publishedVersion)
Topics
  • Physical Sciences › Chemistry › Spectroscopy › Advanced Proteomics Techniques and Applications
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Single-cell and spatial transcriptomics
  • Physical Sciences › Chemistry › Spectroscopy › Mass Spectrometry Techniques and Applications
Keywords
single-cell proteomics, human brain development, label-free mass spectrometry, neurodevelopmental disorders, autism spectrum disorder, radial glia, excitatory neurons, developmental trajectories, cell type specificity
MeSH terms
Single-Cell Gene Expression Analysis, Neurodevelopment, Brain, Humans, Neurons, Proteome, Proteomics, Single-Cell Analysis, Transcriptome

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