The transcriptional regulation of gene expression is pivotal to all biological processes. Each of our ~20,000 protein-coding genes must be expressed at the right place, time and level, as well as under the right developmental or physiological circumstances. Consequently, inappropriate gene expression is implicated in a myriad of human diseases, including congenital disorders, cancer and obesity. Transcription has been studied intensively for decades, resulting in a detailed picture of the basic biochemical mechanisms of mRNA production. However, we know little about gene regulation at a 'systems level', i.e. how TFs function together in complex gene regulatory networks (GRNs) to faithfully orchestrate the expression of large sets of genes. Our long-term goal is to comprehensively characterize the structure, function and evolution of complex metazoan GRNs to gain insights into global mechanisms of gene regulation. It is becoming increasingly clear that textbook explanations of gene regulation in which a TF binds DNA in the genome and upon doing so regulates the most proximal gene are too simplistic because many physical TF binding events lack an apparent regulatory consequence. There are several explanations for this, ranging from technical (e.g. detection limits, attribution of a bindng event to the wrong gene) to biological (e.g. redundancy between TFs, condition-dependent effects). Conversely, regulatory interactions are not necessarily due to a direct effect. For instance, TFs can function in cascades to propagate functional regulation. A major challenge is to combine physical and regulatory interactions to increase our understanding of the mechanisms of gene regulation in the context of complex multicellular organisms. Many GRN studies focus either solely on physical TF interactions, whereas others focus primarily on regulatory interactions. However, integrated GRNs that combine both are scarce and, when available are relatively small in scale. If we had high-quality, large- scale physical and regulatoy interaction data, as well as spatiotemporal and conditional gene expression data, we could build increasingly precise GRNs. Here, we will continue our studies on the nematode C. elegans to map and integrate physical and regulatory GRNs, which will help us to go beyond mapping to understanding the regulatory mechanisms of gene expression at a systems level in a complex multicellular organism.

Public Health Relevance

The regulation of gene expression is vital for healthy development and homeostasis and many diseases are caused by or associated with severe changes in gene expression. In recent years, tremendous progress has been made in the identification of gene regulatory networks that describe physical interactions between regulators and their targets. This project will generate a large physical network, delineate regulatory interactions and combine the two types of interactions to gain insights into the mechanisms of gene regulation at a systems level.

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Research Project (R01)
Project #
2R01GM082971-05A1
Application #
8531465
Study Section
Genomics, Computational Biology and Technology Study Section (GCAT)
Program Officer
Sledjeski, Darren D
Project Start
2008-06-01
Project End
2017-03-31
Budget Start
2013-04-01
Budget End
2014-03-31
Support Year
5
Fiscal Year
2013
Total Cost
$710,610
Indirect Cost
$240,069
Name
University of Massachusetts Medical School Worcester
Department
Genetics
Type
Schools of Medicine
DUNS #
603847393
City
Worcester
State
MA
Country
United States
Zip Code
01655
Fuxman Bass, Juan I; Pons, Carles; Kozlowski, Lucie et al. (2016) A gene-centered C. elegans protein-DNA interaction network provides a framework for functional predictions. Mol Syst Biol 12:884
Fuxman Bass, Juan I; Sahni, Nidhi; Shrestha, Shaleen et al. (2015) Human gene-centered transcription factor networks for enhancers and disease variants. Cell 161:661-73
MacNeil, Lesley T; Pons, Carles; Arda, H Efsun et al. (2015) Transcription Factor Activity Mapping of a Tissue-Specific in vivo Gene Regulatory Network. Cell Syst 1:152-162
Sahni, Nidhi; Yi, Song; Taipale, Mikko et al. (2015) Widespread macromolecular interaction perturbations in human genetic disorders. Cell 161:647-60
Weirauch, Matthew T; Yang, Ally; Albu, Mihai et al. (2014) Determination and inference of eukaryotic transcription factor sequence specificity. Cell 158:1431-43
Fuxman Bass, Juan I; Tamburino, Alex M; Mori, Akihiro et al. (2014) Transcription factor binding to Caenorhabditis elegans first introns reveals lack of redundancy with gene promoters. Nucleic Acids Res 42:153-62
Liu, Wan-Ju; Reece-Hoyes, John S; Walhout, Albertha J M et al. (2014) Multiple transcription factors directly regulate Hox gene lin-39 expression in ventral hypodermal cells of the C. elegans embryo and larva, including the hypodermal fate regulators LIN-26 and ELT-6. BMC Dev Biol 14:17
Fuxman Bass, Juan I; Diallo, Alos; Nelson, Justin et al. (2013) Using networks to measure similarity between genes: association index selection. Nat Methods 10:1169-76
Reece-Hoyes, John S; Pons, Carles; Diallo, Alos et al. (2013) Extensive rewiring and complex evolutionary dynamics in a C. elegans multiparameter transcription factor network. Mol Cell 51:116-27
Reece-Hoyes, John S; Walhout, Albertha J M (2012) Gene-centered yeast one-hybrid assays. Methods Mol Biol 812:189-208

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