The Kirschner lab studies spatial organization and temporal control in several different biological contexts, including the cell cycle, the cytoskeleton, and embryonic development. They also study a number of important signaling pathways, notably the Wnt pathway and various post-translational modification systems.
The DePace lab studies the mechanism and evolution of gene regulation using the early development of 12 Drosophila species as a model system. Their goal is to understand how regulatory information is encoded in the genome, how it is deciphered as gene expression patterns in space and time, and how it changes during evolution.
The Fontana lab combines experimental and theoretical approaches to address fundamental problems in systems biology as they relate to aging (C.elegans), plasticity in molecular signaling, and the evolvability of phenotype.
The Gunawardena lab studies information processing in mammalian cells using a combination of experimental, theoretical and computational approaches.
The Higgins lab combines medical insight, dynamic systems theory, and experiments utilizing microfluidics, video processing, flow cytometry, simulation, and large-scale analysis of medical databases to measure and model the dynamics of human pathophysiologic processes.
Dr. Klein is fascinated by the question of how stem cells choose between alternative fates in developing and adult tissues.
The Lahav lab studies the temporal dynamics of biological signals by combining quantitative live imaging of single human cells with mathematical modeling. They primarily study the signaling pathway of the tumor suppressor p53, with the goal of understanding how the dynamic behavior of p53 is controlled, and how dynamics affects cell fate decisions.
In creating the Broad Institute, Lander and colleagues have nucleated a community of researchers from the Cambridge-Boston area to tackle complex problems related to developing comprehensive tools for genomic medicine and applying them to the study of disease. This research effort requires cooperation across scientific disciplines from basic biology to chemistry, basic science to clinical science, and collaboration across institutions.
Evolution has deposited rich information in the genomes of all species over time, as a result of mostly hidden functional constraints. The Marks lab will provide mathematical and computational bridge that can exploit this information to address critical challenges in biomedical research such as the consequences of human genetic variation, mutation effect on disease likelihood, drug resistance and drug response.
The Megason lab is interested in how the program contained in the genome is executed during development to turn an egg into an embryo. We use confocal/2-photon imaging of living, transgenic zebrafish embryos to watch biological circuits function in vivo and use these data in cell-based, quantitative modeling.
We work on fundamental questions of how cells are spatially organized applied problems in pharmacology and drug development. We ask how systems comprising microtubules, binding proteins and motors self-organize to promote cell division in frog eggs using microscopy and biochemistry. We work on the pharmacology of microtubule-targeting drugs, and to development new drug that combat cancer and inflammation by modulating innate immunity.
The Mootha lab aims to characterize the structure and dynamic properties of the biological networks underlying mitochondrial function, link variation in these parameters to genetic variation, and exploit the network properties of the organelle to design therapies for human disease.
The Paulsson laboratory is interested in the sources and consequences of biological noise. They derive mathematical methods to interpret and analyze noise, develop experimental methods to count molecules in single cells, and combine theory and experiment to study the behavior of the simplest natural and engineered networks.
Our group is interested in understanding how small molecules perturb complex in vivo processes. By conducting high-throughput chemical screens with intact, living zebrafish, we discover small molecules that alter these organismal processes. The novel small molecules become powerful probes for studying the phenomena of interest.
The Shah lab is interested in understanding how molecular events drive the behavior of cell-scale structures. They use molecular techniques and modern biophysical tools to develop quantitative models of endogenous and synthetic cellular networks.
The Silver Lab works at the interface between systems and synthetic biology to design and build biological systems in both mammalian and prokaryotic cells. Some current projects include analysis of cells that remember past events, cell-based computation and therapeutics, and metabolic engineering for bio-energy and sustainability.
The Sorger lab applies experimental and computational methods to the analysis of mechanical and regulatory processes controlling eukaryotic cell division. They seek to construct data-driven, systems-wide models of cellular function that contain detailed mechanistic information on the activities of individual proteins.
The Springer lab is interested in how evolution shapes and constrains how organisms respond to their environment. They analyze cellular responses in several related yeast species using a combination of in vivo fluorescence, synthetic and genetic approaches, and numerical and analytical modeling.
The Weissleder lab is interested in the development of novel in vivo imaging methods for studying complex human diseases such as cancer and infectious diseases. The lab is also involved in translating these discoveries into the development of new diagnostic devices and drugs.
The Yin lab’s research lies at the interface of information science, molecular engineering, and biology. They are generally interested in developing programmable molecular systems and technology inspired by biology.
The Kishony lab is interested in understanding the system-level architecture of genetic networks and the interplay between their design and the evolutionary process. They combine theoretical and experimental approaches to study epistasis networks – networks that describe how perturbations (mutations or drugs) in a given biological system combine to aggravate or alleviate each other’s effect on a phenotype.
Lecturers & Instructors
Dr. Apfeld is interested in the relationship between age-dependent cellular events and the lifespan of multicellular organisms. He is developing methodologies to make age a quantifiable observable in the nematode C. elegans, a well-studied organism of 703 somatic cells and an average lifespan of only two weeks.
The MacBeath lab is interested in identifying, characterizing, and perturbing large collections of proteins or protein domains as a first step in understanding how the cell exploits molecular recognition to regulate complex processes such as protein trafficking, intercellular communication, growth factor signaling, and apoptosis.
Laura Maliszewski, PhD joined HMS in September 2012 to manage the development of the Laboratory of Systems Pharmacology and the Harvard Program in Therapeutic Science. She served previously as an Officer in the Science and Innovation Network of the UK Foreign and Commonwealth Office, developing a broad portfolio of research collaborations in regenerative medicine, health economics and stratified medicine.
A key challenge in treating cancer is the wide range of effectiveness of current targeted therapeutics and the rapid development of resistance. I am trying to understand the mechanisms of drug responses and development of resistance using established breast cancer cell lines as a model system, since they mirror much of the behavior and heterogeneity of primary disease. I mainly study therapeutic drugs and ligands to receptor tyrosine kinases that modulate signaling through the ErbB family and the PI3K/AKT signaling pathways, which are particularly important in the development and treatment of breast and ovarian cancer. Ultimately, a detailed understanding of drug action will move us towards the development of a more personalized medicine, where tumors from each patient are analyzed on a molecular level so they can be treated with specifically tailored drugs or combinations that have been predicted to maximize efficacy and minimize the risk of resistance and toxicity.
I focus most of my work on proteins, rather than genomic measures, since they are both the key effectors of cellular function and the targets of the drugs. In my research I combine a variety of protein profiling methods, detailed measurements of phenotypic responses, and biochemical investigation into drug action. I analyze the data by statistical and computational methods to identify both predictors of drug response and the causal determinants drug sensitivities.
Dr. Peshkin is integrating diverse evolutionary and developmental clues to understand signaling pathways. He is particularly excited about informing experimental design by the Bayesian analysis framework.
Dr. Shamu is the Director of the ICCB-Longwood Screening Facility. The ICCB-Longwood Investigator Initiated Screening Program assists academic researchers in carrying out high-throughput screens of chemical and RNAi libraries to identify new tools for biological research. In addition to her expertise in implementing new high throughput assay technologies, Dr.Shamu is active in the development of data standards and repositories for large-scale datasets from high-throughput assays.
James J. Collins is an Investigator of the Howard Hughes Medical Institute, and a William F. Warren Distinguished Professor, University Professor, Professor of Biomedical Engineering, Professor of Medicine and Co-Director of the Center for BioDynamics at Boston University. He is also a core founding faculty member of the Wyss Institute for Biologically Inspired Engineering at Harvard University.
The Mahadevan group is interested in understanding the organization of matter in space and time, particularly at the scale observable by our unaided senses. We use a combination of techniques to pursue this, ranging from simple observations of phenomena to quantitative experiments and theory.
Dr. AlQuraishi's research interests lie at the intersection of systems and structural biology. He aims to obtain a systems-level understanding of biological processes through a molecular-level understanding of biological structures and their interactions. Towards that end he is developing computational methods for predicting the binding partners and quantitative binding affinities of biological molecules from their atomic structure.
Dr. Loose's research goal is to investigate the mechanisms of biochemical self-organization. He is particularly interested in how minimal protein systems are able to organize intracellular space and how these biochemical modules are conserved or change during evolution. For this he mainly uses biochemical approaches and microscopic techniques.
Evolution is notoriously hard to predict primarily because a key population genetic term remains undefined: the fitness landscape. While often depicted in two dimensions, with hills and valleys, true fitness landscapes are many-dimensional with complicated interactions that cannot be described by the simple slopes of a hill. Until recently, the technology did not exist to permit direct experimental determination of landscapes. And even now, the technology is slow and much too laborious to capture the enormous size and dimensionality of landscapes.
One of the fundamental problems in biology is how the individual components of a cell act together to form the dynamic and responsive structure that is a living cell. E. coli is an excellent model system for studying basic questions of cellular self organisation due to the topological simplicity that results from a lack of membrane-bound subcellular organelles, the extensive knowledge of components that comes from decades of dedicated research, as well as the fact that as a single celled organism it is not subjected to organism-level complexity.
Dr. Wapinski's interests lie at the intersection of functional genomics and evolution. In the past he worked on studying how genomes and regulatory networks have evolved across large evolutionary distances through gene duplications and losses and by the re-wiring of regulatory circuitry.