GRaNIE and GRaNPA: inference and evaluation of enhancer‐mediated gene regulatory networks

Author:

Kamal Aryan12ORCID,Arnold Christian1,Claringbould Annique1,Moussa Rim1ORCID,Servaas Nila H1ORCID,Kholmatov Maksim1,Daga Neha1,Nogina Daria1ORCID,Mueller‐Dott Sophia1,Reyes‐Palomares Armando1ORCID,Palla Giovanni1,Sigalova Olga12ORCID,Bunina Daria1,Pabst Caroline34,Zaugg Judith B14ORCID

Affiliation:

1. European Molecular Biology Laboratory, Structural and Computational Biology Unit Heidelberg Germany

2. Faculty of Biosciences Collaboration for Joint PhD Degree between EMBL and Heidelberg University Heidelberg Germany

3. Department of Medicine V, Hematology, Oncology and Rheumatology University Hospital Heidelberg Heidelberg Germany

4. Molecular Medicine Partnership Unit University of Heidelberg Heidelberg Germany

Abstract

AbstractEnhancers play a vital role in gene regulation and are critical in mediating the impact of noncoding genetic variants associated with complex traits. Enhancer activity is a cell‐type‐specific process regulated by transcription factors (TFs), epigenetic mechanisms and genetic variants. Despite the strong mechanistic link between TFs and enhancers, we currently lack a framework for jointly analysing them in cell‐type‐specific gene regulatory networks (GRN). Equally important, we lack an unbiased way of assessing the biological significance of inferred GRNs since no complete ground truth exists. To address these gaps, we present GRaNIE (Gene Regulatory Network Inference including Enhancers) and GRaNPA (Gene Regulatory Network Performance Analysis). GRaNIE (https://git.embl.de/grp‐zaugg/GRaNIE) builds enhancer‐mediated GRNs based on covariation of chromatin accessibility and RNA‐seq across samples (e.g. individuals), while GRaNPA (https://git.embl.de/grp‐zaugg/GRaNPA) assesses the performance of GRNs for predicting cell‐type‐specific differential expression. We demonstrate their power by investigating gene regulatory mechanisms underlying the response of macrophages to infection, cancer and common genetic traits including autoimmune diseases. Finally, our methods identify the TF PURA as a putative regulator of pro‐inflammatory macrophage polarisation.

Funder

European Molecular Biology Laboratory

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computational Theory and Mathematics,General Agricultural and Biological Sciences,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,Information Systems

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