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

期刊

PROTEOMICS
卷 22, 期 23-24, 页码 -

出版社

WILEY
DOI: 10.1002/pmic.202200127

关键词

cancer < Biomedicine; databases < Bioinformatics; nervous system < Biomedicine; neurological diseases < Biomedicine

资金

  1. Natural Sciences and Engineering Research Council of Canada
  2. Cancer Research Society
  3. Terry Fox New Investigator Award program
  4. Canadian Institute of Health Research
  5. Princess Margaret Cancer Foundation

向作者/读者索取更多资源

This article introduces an integrated online portal, the Brain Protein Atlas (BPA), aimed at accelerating the biological understanding of the brain and various diseases. The portal contains mass-spectrometry-based proteomic datasets and provides built-in analytical tools for users to explore and evaluate the spatiotemporal patterns of proteins of interest.
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) (), 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.

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