ArticleNature biotechnology2026
Single-cell proteomic landscape of the developing human brain.
Article in Nature biotechnology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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Who cites it
8 citing papers in PubMed.
- Single-Cell Proteomics Uncovers Cell-Specific Proteins in Vascular Health and Marfan Syndrome Disease-Brief Report.Arteriosclerosis, thrombosis, and vascular biology · 2026Article
- Resolving Immune Lineage and Cell-State Heterogeneity in Human PBMCs via Mass Spectrometry-Based Single-Cell Proteomics.bioRxiv : the preprint server for biology · 2026Article
- Active zone plasticity couples sleep need to presynaptic hypophosphorylation.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- EasySCP unveils extensive liver zonation at single-cell proteomics resolution.Nature communications · 2026Article
- In Depth Characterization of the Promoter Proximal Proteome of Single Copy Locus FOXP2.Molecular & cellular proteomics : MCP · 2026Article
- What Are the Practical Applications of Single-Cell Proteomics?Proteomes · 2026Article
- Multi-omics profiling reveals MAGEL2-driven defects in human corticogenesis shared across Prader-Willi and Schaaf-Yang syndromes.bioRxiv : the preprint server for biology · 2026Article
- Multimodal analysis of molecular remodeling in aging spleen identified global and cell type specific changes.bioRxiv : the preprint server for biology · 2026Article
Corrections and comments
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Profiling protein abundance and dynamics at single-cell resolution in complex human tissues is challenging. Given the discordance between transcript and protein abundance observed in studies of the human cerebral cortex, we developed an optimized workflow that combines label-free single-cell mass spectrometry with precise sample preparation to resolve quantitative proteomes of individual cells from the developing human brain. Our method achieves deep proteomic coverage (~800 proteins per cell) even in small immature prenatal human neurons (diameter ~7-10 μm, ~50 pg protein), capturing major brain cell types and enabling proteome-wide characterization at single-cell resolution. We document extensive transcriptome-proteome discordance across cell types, particularly in genes associated with neurodevelopmental disorders. Proteins exhibit markedly higher cell-type specificity than their mRNA counterparts, underscoring the importance of proteomic-level analysis. By reconstructing developmental trajectories from radial glia to excitatory neurons at the proteomic level, we identify dynamic, stage-specific protein co-expression modules and pinpoint the intermediate progenitor-to-neuron transition as a genetically vulnerable phase associated with autism.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.