The Human Protein Atlas is an open-access resource that maps all human proteins in cells, tissues, and organs.
The Human Protein Atlas is a comprehensive resource dedicated to mapping all human proteins in cells, tissues, and organs through the integration of various omics technologies, including antibody-based imaging, mass spectrometry-based proteomics, transcriptomics, and systems biology. It provides detailed information on protein expression, localization, and function, offering insights into human biology and disease. The atlas is organized into nine resources: Tissue, Brain, Single Cell, Subcellular, Cancer, Blood Cell, Cell Line, Structure, and Interaction. It serves as a valuable tool for researchers in fields such as proteomics, drug discovery, and personalized medicine, enabling them to explore protein profiles in different biological contexts. The open-access nature of the resource facilitates global collaboration and accelerates scientific discoveries.
The Human Protein Atlas is a comprehensive resource dedicated to mapping all human proteins in cells, tissues, and organs through the integration of various omics technologies, including antibody-based imaging, mass spectrometry-based proteomics, transcriptomics, and systems biology.
Explore all tools that specialize in identify protein expression patterns in different tissues and organs.. This domain focus ensures Human Protein Atlas delivers optimized results for this specific requirement.
Explore all tools that specialize in determine the subcellular localization of proteins.. This domain focus ensures Human Protein Atlas delivers optimized results for this specific requirement.
Explore all tools that specialize in analyze protein profiles in various cancer types.. This domain focus ensures Human Protein Atlas delivers optimized results for this specific requirement.
Explore all tools that specialize in investigate protein interactions and pathways.. This domain focus ensures Human Protein Atlas delivers optimized results for this specific requirement.
Explore all tools that specialize in explore single-cell protein expression data.. This domain focus ensures Human Protein Atlas delivers optimized results for this specific requirement.
Explore all tools that specialize in validate antibody specificity and performance.. This domain focus ensures Human Protein Atlas delivers optimized results for this specific requirement.
Provides gene expression data at the single-cell level, enabling researchers to investigate cellular heterogeneity within tissues. Includes interactive visualizations and data download options.
Offers detailed information on antibody validation using various assays (IHC, IF, WB, PA), ensuring the reliability of the protein expression data.
Provides protein expression data across a wide range of cancer types, facilitating the identification of potential drug targets and biomarkers.
Detailed mapping of protein expression in different brain regions, enabling the study of neurological disorders and brain function.
Presents protein-protein interaction data, allowing users to explore protein networks and pathways.
Visit the Human Protein Atlas website (https://www.proteinatlas.org/).
Familiarize yourself with the different resources available (Tissue, Brain, Single Cell, etc.).
Use the search bar to search for a specific gene or protein of interest.
Explore the expression data for the selected protein in different tissues.
Examine the subcellular localization data based on immunofluorescence staining.
Download relevant datasets for further analysis.
Consult the Help & FAQ section for guidance on using the database.
All Set
Ready to go
Verified feedback from other users.
"The Human Protein Atlas is highly regarded as a comprehensive, free resource for protein expression data, antibody validation, and insights into human biology and disease. Its open-access nature and extensive data make it invaluable for researchers worldwide."
0Post questions, share tips, and help other users.
WikiPathways is an open science platform for biological pathways contributed, updated, and used by the research community.
STRING is a database of known and predicted protein-protein interactions.
A fast spliced aligner for RNA-seq data.
Seurat is an R package designed for single-cell RNA-seq data analysis, exploration, and integration of diverse single-cell data types.
Scalable toolkit for analyzing single-cell gene expression data in Python.
A fast and safe bioinformatics library for the Rust language.
A protein structure prediction service using deep learning and comparative modeling.
Reactome is a free, open-source, curated and peer-reviewed pathway database for visualizing, interpreting and analyzing pathway knowledge.