Publication | Open Access
The human protein atlas: A spatial map of the human proteome
1.3K
Citations
23
References
2017
Year
ProteasomeMolecular BiologyPathologySpatial OmicsProtein FoldingProteomicsHpa Database FunctionsHuman ProteomeProtein FunctionInteractomicsOmicsPathway AnalysisProtein LocalizationFunctional GenomicsCell BiologyBioinformaticsProtein BioinformaticsCorrect Spatial DistributionNatural SciencesComputational BiologyCellular BiochemistrySystems BiologyMedicineSpatial MapHuman Protein Atlas
Correct spatial distribution of proteins is essential for function, and mis‑localization or ectopic expression can cause disease. This article aims to comprehensively describe the HPA database functions, guide user utilization, and outline future directions in spatial proteomics. The HPA maps the entire human proteome using a unique antibody collection for immunohistochemistry and immunocytochemistry, integrated with transcriptomics data for global expression profiling. Over the past decade, the HPA has become a valuable resource, offering more than 10 million publicly available single‑cell resolution images of protein expression patterns in human tissues and cells.
The correct spatial distribution of proteins is vital for their function and often mis-localization or ectopic expression leads to diseases. For more than a decade, the Human Protein Atlas (HPA) has constituted a valuable tool for researchers studying protein localization and expression in human tissues and cells. The centerpiece of the HPA is its unique antibody collection for mapping the entire human proteome by immunohistochemistry and immunocytochemistry. By these approaches, more than 10 million images showing protein expression patterns at a single-cell level were generated and are publicly available at www.proteinatlas.org. The antibody-based approach is combined with transcriptomics data for an overview of global expression profiles. The present article comprehensively describes the HPA database functions and how users can utilize it for their own research as well as discusses the future path of spatial proteomics.
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