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TargetRanger

TargetRanger is a web-server application that identifies targets from user-inputted RNA-seq samples collected from the cells we wish to target. By comparing the inputted samples with processed RNA-seq and proteomics data from several atlases, TargetRanger identifies genes that are highly expressed in the target cells while lowly expressed across normal human cell types, tissues, and cell lines.
Explore single gene expression across tissues and cell types with:Logo
GeneRanger
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TargetRanger

Explore single gene expression across tissues and cell types with:Logo
GeneRanger

Precomputed Backgrounds

ARCHS4, developed by the Ma’ayan Lab, contains over 1 million samples of uniformly processed RNA-seq data from the Gene Expression Omnibus (GEO). The samples were aligned using kallisto with an efficient parallelized cloud workflow. website | citation
GTEx transcriptomics provides bulk RNA-seq data for 54 human tissues collected from postmortem donors. The GTEx database was designed to study the relationship between genetic variation and gene expression across multiple human tissues. website | citation
Tabula Sapiens is a gene expression atlas created from single cell RNA-seq data collected from multiple tissues of 16 postmortem donors. The processed data contains average expression of each human gene in 486 cell types. website | citation
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The Cancer Cell Line Encyclopedia (CCLE) transcriptomics dataset contains gene expression data collected with RNA-seq from over 1000 human pan-cancer cell lines. website | citation
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The Human Proteome Map (HPM) contains data from LC-MS/MS proteomics profiling protein expression in 30 human tissues collected from 17 adult postmortem donors. website | citation
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The Human Protein Atlas (HPA) contains protein expression data from 44 normal human tissues derived from antibody-based protein profiling using immunohistochemistry. website | citation
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The GTEx proteomics dataset has relative protein levels for more than 12,000 proteins across 32 normal human tissues. The data was collected using tandem mass tag (TMT) proteomics to profile tissues collected from 14 postmortem donors. website | citation
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The Cancer Cell Line Encyclopedia (CCLE) proteomics dataset contains protein expression in 375 pan-cancer cell lines. Data was collected by quantitative multiplex mass spectrometry proteomics. website | citation
Upload RNA-seq profiles from the cells that you wish to target and remove

Clear
Normal tissue background:
Prioritize membrane genes
Prioritize secreted genes
Systematic target prioritization for TCGA subtypes with TargetRanger: