The Brain Protein Atlas: A conglomerate of proteomics datasets of human neural tissue

The human brain represents one of the most complex biological structures with significant spatiotemporal molecular plasticity occurring through early development, learning, aging, and disease. While much progress has been made in mapping its transcriptional architecture, more downstream phenotypic r...

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Bibliographic Details
Published in:Proteomics (Weinheim) 2022-12, Vol.22 (23-24), p.e2200127-n/a
Main Authors: Lam, K.H. Brian, Faust, Kevin, Yin, Richard, Fiala, Clare, Diamandis, Phedias
Format: Article
Language:English
Subjects:
Aging
Brain
cancer < Biomedicine
Data analysis
databases < Bioinformatics
Datasets
Developmental plasticity
Exploration
Glioblastoma
Glioma
Heterogeneity
Humans
Learning curves
Mass Spectrometry
Mass spectroscopy
Nervous system
nervous system < Biomedicine
Neurodevelopmental disorders
neurological diseases < Biomedicine
Paraffin
Proteins
Proteomics
Proteomics - methods
Scientific imaging
Spectroscopy
Tissues
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Summary:The human brain represents one of the most complex biological structures with significant spatiotemporal molecular plasticity occurring through early development, learning, aging, and disease. While much progress has been made in mapping its transcriptional architecture, more downstream phenotypic readouts are relatively scarce due to limitations with tissue heterogeneity and accessibility, as well as an inability to amplify protein species prior to global ‐OMICS analysis. To address some of these barriers, our group has recently focused on using mass‐spectrometry workflows compatible with small amounts of formalin‐fixed paraffin‐embedded tissue samples. This has enabled exploration into spatiotemporal proteomic signatures of the brain and disease across otherwise inaccessible neurodevelopmental timepoints and anatomical niches. Given the similar theme and approaches, we introduce an integrated online portal, “The Brain Protein Atlas (BPA)” (www.brainproteinatlas.org), representing a public resource that allows users to access and explore these amalgamated datasets. Specifically, this portal contains a growing set of peer‐reviewed mass‐spectrometry‐based proteomic datasets, including spatiotemporal profiles of human cerebral development, diffuse gliomas, clinically aggressive meningiomas, and a detailed anatomic atlas of glioblastoma. One barrier to entry in mass spectrometry‐based proteomics data analysis is the steep learning curve required to extract biologically relevant data. BPA, therefore, includes several built‐in analytical tools to generate relevant plots (e.g., volcano plots, heatmaps, boxplots, and scatter plots) and evaluate the spatiotemporal patterns of proteins of interest. Future iterations aim to expand available datasets, including those generated by the community at large, and analytical tools for exploration. Ultimately, BPA aims to improve knowledge dissemination of proteomic information across the neuroscience community in hopes of accelerating the biological understanding of the brain and various maladies.
ISSN:1615-9853
1615-9861
DOI:10.1002/pmic.202200127