Faculty Profiles

Pete Buston

Trevor W. Siggers

Assistant Professor of Biology

PhD, Columbia University, 2006
Areas 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
tsiggers@bu.edu
(617)353-2432
http://blogs.bu.edu/tsiggers/home/


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.

Courses Taught

  • BI 560 Systems Biology

Selected Publications

  • Siggers T*, Chang AB*, Teixeira A, Wong D, Williams KJ, Ahmed B, Ragoussis J, Udalova IA, Smale ST, Bulyk ML. (2012). Principles of dimer-specific gene regulation revealed by a comprehensive characterization of NF-κB family DNA binding. Nature Immunology 13(1):95-102
  • Siggers T, Duyzend MH, Reddy J, Khan S, Bulyk ML. (2011). Non-DNA-binding cofactors enhance DNA-binding specificity of a transcriptional regulatory complex. Molecular Systems Biology 7:555
  • Wong D, Teixeira A, Oikonomopoulos S, Humburg P, Lone IN, Saliba D, Siggers T, Bulyk ML, Angelov D, Dimitrov S, Udalova I, Ragoussis J. (2011). Extensive characterization of NF-KappaB binding uncovers non-canonical motifs and advances the interpretation of genetic functional traits. Genome Biol. 12(7):R70
  • Rowan S*, Siggers T*, Lachke SA, Yue Y, Bulyk ML, Maas RL. (2010). Precise temporal control of the eye regulatory gene Pax6 via enhancer binding site affinity. Genes Dev. 24(10):980-985.
  • Giorgetti L, Siggers T, Tiana G, Caprara G, Notarbartolo S, Corona T, Pasparakis M, Milani P, Bulyk ML, Natoli G. (2010). Noncooperative interactions between transcription factors and clustered DNA binding sites enable graded transcriptional responses transcriptional responses to environmental inputs. Mol. Cell. 37(3):418-428.
  • Viiri KM, Janis J, Siggers T, Heinonen TY, Valjakka J, Bulyk ML, Maki M, Lohi O. (2009). DNA-binding and -bending activities of SAP30L and SAP30 are mediated by a zinc-dependent module and monophosphoinositides. Mol. Cell Biol. 29:342-356.
  • Siggers T, Honig B. (2007). Structure-based prediction of C2H2 zinc-finger binding specificity: sensitivity to docking geometry. Nucleic Acids Res. 35(5):1085-1097.
  • Siggers T, Silkov A, Honig B. (2005). Structural alignment of protein-DNA interfaces: insights into the determinants of binding specificity. JMB 345(5):1027-1045.