Introduction

The B cell interactome (BCI) is a network of protein-protein, protein-DNA and modulatory interactions in human B cells. The network contains known interactions (reported in public databases) and predicted interactions by a Bayesian evidence integration framework which integrates a variety of generic and context specific experimental clues about protein-protein and protein-DNA interactions - such as a large collection of B cell expression profiles - with inferences from different reverse engineering algorithms, such as GeneWays and ARACNE. Modulatory interactions are predicted by the MINDY, an algorithm for the prediction of modulators of transcriptional interactions (please refer to the publication section for more information).

The BCI contains 21,156 protein-protein interactions, 41,568 protein-DNA interactions and 1,925 modulatory interactions.

Download

The BCI can be downloaded as one tab delimited file containing the complete network (BCI.txt) with each type of interaction explicitly defined. Please read the readme.txt file for format description.

Readme

BCI.txt

Relevant Publications

1) Lefebvre C, Lim WK, Basso K, Dalla Favera R, and Califano A. 
A context-specific network of protein-DNA and protein-protein interactions reveals new regulatory motifs in human B cells
Lecture Notes in Bioinformatics (LNCS) 2007, 4532:42-56.

2) Wang K, Banerjee N, Margolin AA, Nemenman I, Califano A. 
Genome-wide discovery of modulators of transcriptional interactions in human B lymphocytes 
Lecture Notes in Computer Science. 2006. 3909:348-362.