ArticleGenome research2007
Spatial mapping of protein abundances in the mouse brain by voxelation integrated with high-throughput liquid chromatography-mass spectrometry.
Article in Genome research, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.
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Who cites it
46 citing papers in PubMed.
- Multimodal spatial omics: From data acquisition to computational integration.Patterns (New York, N.Y.) · 2026Review
- Multi-Tiered µDicer Enables Protein-Preserving Microdissection at 10 µm Resolution.Small (Weinheim an der Bergstrasse, Germany) · 2026Article
- Mass Spectrometry for Proteomics-Based Investigation.Advances in experimental medicine and biology · 2026Review
- The evolving landscape of spatial proteomics technologies in the AI age.Fundamental research · 2026Review
- Spatial proteomics in translational and clinical research.Molecular systems biology · 2025Article
- Spatial Proteomics towards cellular Resolution.Expert review of proteomics · 2024Article
- Spatial proteomics: unveiling the multidimensional landscape of protein localization in human diseases.Proteome science · 2024Review
- Deep topographic proteomics of a human brain tumour.Nature communications · 2023Article
- In-depth mapping of protein localizations in whole tissue by micro-scaffold assisted spatial proteomics (MASP).Nature communications · 2022Article
- ImShot: An Open-Source Software for Probabilistic Identification of Proteins In Situ and Visualization of Proteomics Data.Molecular & cellular proteomics : MCP · 2022Article
- Diversity of synaptic protein complexes as a function of the abundance of their constituent proteins: A modeling approach.PLoS computational biology · 2022Article
- IonQuant Enables Accurate and Sensitive Label-Free Quantification With FDR-Controlled Match-Between-Runs.Molecular & cellular proteomics : MCP · 2021Article
- Automated mass spectrometry imaging of over 2000 proteins from tissue sections at 100-μm spatial resolution.Nature communications · 2020Article
- Mapping Molecular Datasets Back to the Brain Regions They are Extracted from: Remembering the Native Countries of Hypothalamic Expatriates and Refugees.Advances in neurobiology · 2018Article
- Mass Spectrometry Imaging and GC-MS Profiling of the Mammalian Peripheral Sensory-Motor Circuit.Journal of the American Society for Mass Spectrometry · 2015Article
- Reduced insulin/insulin-like growth factor-1 signaling and dietary restriction inhibit translation but preserve muscle mass in Caenorhabditis elegans.Molecular & cellular proteomics : MCP · 2013Article
- Label-free quantitative LC-MS proteomics of Alzheimer's disease and normally aged human brains.Journal of proteome research · 2012Article
- Quantitative proteomics analysis of adsorbed plasma proteins classifies nanoparticles with different surface properties and size.Proteomics · 2011Article
- 18O-labeled proteome reference as global internal standards for targeted quantification by selected reaction monitoring-mass spectrometry.Molecular & cellular proteomics : MCP · 2011Article
- A statistical method for assessing peptide identification confidence in accurate mass and time tag proteomics.Analytical chemistry · 2011Article
Corrections and comments
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Authors and funding
12 authors.
Funding
Abstract
Temporally and spatially resolved mapping of protein abundance patterns within the mammalian brain is of significant interest for understanding brain function and molecular etiologies of neurodegenerative diseases; however, such imaging efforts have been greatly challenged by complexity of the proteome, throughput and sensitivity of applied analytical methodologies, and accurate quantitation of protein abundances across the brain. Here, we describe a methodology for comprehensive spatial proteome mapping that addresses these challenges by employing voxelation integrated with automated microscale sample processing, high-throughput liquid chromatography (LC) system coupled with high-resolution Fourier transform ion cyclotron resonance (FTICR) mass spectrometer, and a "universal" stable isotope labeled reference sample approach for robust quantitation. We applied this methodology as a proof-of-concept trial for the analysis of protein distribution within a single coronal slice of a C57BL/6J mouse brain. For relative quantitation of the protein abundances across the slice, an 18O-isotopically labeled reference sample, derived from a whole control coronal slice from another mouse, was spiked into each voxel sample, and stable isotopic intensity ratios were used to obtain measures of relative protein abundances. In total, we generated maps of protein abundance patterns for 1028 proteins. The significant agreement of the protein distributions with previously reported data supports the validity of this methodology, which opens new opportunities for studying the spatial brain proteome and its dynamics during the course of disease progression and other important biological and associated health aspects in a discovery-driven fashion.
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