Immune-centric network of cytokines and cells in disease context identified by computational mining of PubMed.

ABSTRACT: Cytokines are signaling molecules secreted and sensed by immune and other cell types, enabling dynamic intercellular communication. Although a vast amount of data on these interactions exists, this information is not compiled, integrated or easily searchable. Here we report immuneXpresso, a text-mining engine that structures and standardizes knowledge of immune intercellular communication. We applied immuneXpresso to PubMed to identify relationships between 340 cell types and 140 cytokines across thousands of diseases. The method is able to distinguish between incoming and outgoing interactions, and it includes the effect of the interaction and the cellular function involved. These factors are assigned a confidence score and linked to the disease. By leveraging the breadth of this network,

SUBMITTER: Kveler K 

PROVIDER: S-EPMC6035104 | biostudies-literature | 2018 Aug

REPOSITORIES: biostudies-literature