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Interactive Big Data Resource to Elucidate Human Immune Pathways and Diseases.

ABSTRACT: Many functionally important interactions between genes and proteins involved in immunological diseases and processes are unknown. The exponential growth in public high-throughput data offers an opportunity to expand this knowledge. To unlock human-immunology-relevant insight contained in the global biomedical research effort, including all public high-throughput datasets, we performed immunological-pathway-focused Bayesian integration of a comprehensive, heterogeneous compendium comprising 38,088 genome-scale experiments. The distillation of this knowledge into immunological networks of functional relationships between molecular entities (ImmuNet), and tools to mine this resource, are accessible to the public at http://immunet.princeton.edu. The predictive capacity of ImmuNet, established by rigorous statistical validation, is easily accessed by experimentalists to generate data-driven hypotheses. We demonstrate the power of this approach through the identification of unique host-virus interaction responses, and we show how ImmuNet complements genetic studies by predicting disease-associated genes. ImmuNet should be widely beneficial for investigating the mechanisms of the human immune system and immunological diseases.

SUBMITTER: Gorenshteyn D

PROVIDER: S-EPMC4753773 | biostudies-literature | 2015 Sep

REPOSITORIES: biostudies-literature

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Interactive Big Data Resource to Elucidate Human Immune Pathways and Diseases.

Gorenshteyn Dmitriy D Zaslavsky Elena E Fribourg Miguel M Park Christopher Y CY Wong Aaron K AK Tadych Alicja A Hartmann Boris M BM Albrecht Randy A RA García-Sastre Adolfo A Kleinstein Steven H SH Troyanskaya Olga G OG Sealfon Stuart C SC

Immunity 20150908 3

Many functionally important interactions between genes and proteins involved in immunological diseases and processes are unknown. The exponential growth in public high-throughput data offers an opportunity to expand this knowledge. To unlock human-immunology-relevant insight contained in the global biomedical research effort, including all public high-throughput datasets, we performed immunological-pathway-focused Bayesian integration of a comprehensive, heterogeneous compendium comprising 38,08 ...[more]

PMID: 26362267

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Dataset Information

Interactive Big Data Resource to Elucidate Human Immune Pathways and Diseases.

Publications

Interactive Big Data Resource to Elucidate Human Immune Pathways and Diseases.

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