• Title Assistant Professor of Biology
  • Education PhD, Columbia University, 2006
  • Web Address http://blogs.bu.edu/tsiggers/
  • Phone 617-353-2432
  • Area of Interest systems biology of the immune and inflammatory systems, gene regulation in immune and inflammatory systems, inflammatory diseases, transcriptional networks, DNA-binding of transcription factors and transcriptional regulatory complexes, computational genomics, cis-regulatory logic in transcription
  • CV

Current Research

Our lab uses integrative biochemical and genomic approaches to study gene regulation in the immune and inflammatory systems. To mount the appropriate response to a particular infection or injury, cells in the body must integrate extracellular signals and turn on the appropriate target genes. The exquisite specificity of the body’s immune response to different assaults is a hallmark of its proper function, but when it goes awry it can lead to disease.

We use computational and experimental approaches to examine gene regulation at multiple levels. At the molecular level, we examine how transcription factor proteins binding together on DNA control elements integrate signaling events and direct gene transcription. This is commonly referred to as the cis-regulatory logic. At a more global, systems-level, we investigate how the molecular cis-regulatory logic operating at individual genes relates to the function and specificity of the larger gene regulatory network in a cell. For example, are sets of co-transcribed genes governed by the same cis-regulatory logic, and how does the cell specify a particular set of genes from all others in the genome?

Current projects are focused on the central immune regulator NF-kB and how interactions with other proteins modify or provide specificity to the NF-kB response. We are using protein-binding microarrays (PBMs) to characterize the binding specificity of protein complexes involving NF-kB dimers and other immune transcription factors such as HMGA1 proteins, C/EBPβ, and Irf proteins. This genome-scale binding data is integrated with in vivo binding data determined by chromatin immuno-precipitation followed by high-throughput sequencing (ChIP-seq) to construct models of the operating transcriptional regulatory logic. These models are tested in cellular assays by monitoring gene expression in wild-type cells and cells where particular genes or pathways are modified by RNAi or chemical inhibitors.

More purely computational efforts in the lab are currently focused on the integration of genomic datasets (e.g., ChIP-seq, gene expression, DNAse I hypersensitivity maps, chromatin modification data) and libraries of transcription factor binding data to predict transcriptional regulatory codes for co-transcribed gene sets. Of particular interests are transcriptional responses and codes operating in innate immune cells such as macrophages and dendritic cells, the sentinel responders in our immune system.

Selected Publications

  • Mohaghegh N, Bray D, Keenan J, Penvose A, Andrilenas KK, Ramlall V, Siggers T (2018) Biophysical Principles of Lineage Factor PU.1 Binding Revealed by NextPBMs. BioRxiv doi.org/10.1101/328625.
  • Andrilenas KK, Ramlall V, Kurland J, Leung B, Harbaugh AG, Siggers T (2018) DNA-binding landscape of IRF3, IRF5 and IRF7 dimers: implications for dimer-specific gene regulation. Nucleic Acids Research 46: 2509-2520. PMID: 29361124.
  • Mansfield KM, Carter NM, Nguyen L, Cleves PA, Alshanbayeva A, Williams LM, Crowder C, Penvose AR, Finnerty JR, Weis VM, Siggers T, Gilmore TD (2017) Transcription factor NF-kB is modulated by symbiotic status in a sea anemone model of cnidarian bleaching. Scientific Reports 7: 16025. PMID: 29167511.
  • Barrera LA, Vedenko A, Kurland JV, Rogers JM, Gisselbrecht SS, Rossin EJ, Woodard J, Mariani L, Kock KH, Inukai S, Siggers T, Shokri L, Gordan R, Sahni N, Cotsapas C, Hao T, Yi S, Kellis M, Daly MJ, Vidal M, Hill DE, Bulyk ML (2016) Survey of variation in human transcription factors reveals prevalent DNA binding changes. Science 35: 1450-1454. PMID: 27013732.
  • Andrilenas K, Penvose A, Siggers T (2015) Using protein-binding microarrays to study transcription factor specificity. Briefings in Functional Genomics 14: 17-29. PMID: 25431149.
  • Siggers T, Gilmore T, Barron B, Penvose A (2015) Characterizing the DNA binding sites specificity of NF-kB with Protein Binding Microarrays (PBM). Methods in Molecular Biology 128: 609-630. PMID: 25736775.
  • Siggers T, Reddy J, Barron B, Bulyk ML (2014) Diversification of transcription factor paralogs via noncanonical modularity in C2H2 zinc finger DNA binding. Molecular Cell 55: 640-648. PMID: 25042805.
  • Siggers T, Gordan R (2014) Protein-DNA binding: complexities and multi-protein code. Nucleic Acids Research 42: 2099-2111. PMID: 24243859.

Courses Taught:

  • BI 560 Systems Biology
  • BI 385 Immunology

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