Research Projects

We select research ideas and topics that have the greatest positive impact in medicine and biology. We attract intensely inquisitive and motivated trainees and embrace inter- and neodisciplinary approaches to sustain a high degree of innovation. Some of the past accomplishments can be found here. Some current research projects include:

Single cell analysis

Comprehensive analysis of key cancer proteins and pathway markers remains challenging in clinical samples yet is critical in measuring patient response to drugs and in understanding tumor heterogeneity and host response. Currently, the number of protein markers being studied is often limited (<10) in clinical trials and requires time-consuming analyses of tissue sections by specialists. We originally developed a DNA barcoding technology to simultaneously analyze hundreds of proteins in cancer cells harvested from fine needle aspirates, i.e. sampling methods that avoid the morbidity of more invasive core biopsies and potentially allow for more frequent sampling. Compared to existing methods (e.g. immunohistochemistry, cytometry and mass spectrometry), the new DNA-barcoding technology: i) detects hundreds of markers simultaneously, ii) works well in single cells or small numbers of cells, iii) does not destroy valuable samples, iv) is fast and inexpensive and v) can be combined with other genetic analysis techniques (mRNA and DNA analyses). We currently investigate questions such as: How divergent are protein profiles within a malignant lesion (intra-tumor heterogeneity) and between patients (inter-patient heterogeneity)? How do single cell protein levels compare to mRNA levels in the same cells? Does the multiplexed strategy generate unique insights (e.g. signal dynamics, kinetics) that are difficult to assess by conventional approaches?

Exosome analysis and function

Exosomes (and other extracelluar vesicles, EVs) are shed into circulation by most cancer cells and afford an opportunity to longitudinally study tumor evolution and (non)response to therapies in realtime. Despite the relative abundance of tumor-derived EVs and their informative cargo, one of the major bottlenecks to their use as biomarkers has been diagnostic sensitivity. We have developed a number of different exosome analyses platforms and are focusing on single exosome analysis. In addition to serving as a biomarker discovery platform, analysis of different EVs will provide insight into how many different types of EVs there are based on biogenesis, whether the tumor-derived EV are unique from the normal cell-derived ones and, how they change the phenotype of other normal and tumor cells in support of tumor growth.

Immunotherapeutics and innate immune cell function

Tumor-associated macrophages (TAM) are often abundant in the tumor microenvironment and play important roles during tumor spread and in response to therapy. TAM can show considerable plasticity by assuming phenotypes and functions that are either tumoricidal (e.g. M1-like cells) or tumorigenic (e.g. M2-like cells). TAM can also profoundly influence the efficacy of anticancer drugs, nanotherapeutics and immunotherapeutics. Furthermore, TAM have an increasingly well-documented role as relevant therapeutic targets, for example through targeting of the colony-stimulating factor 1 receptor (CSF1R). However, most of our knowledge on TAM and other tumor-associated myeloid cells comes from histological examinations, ex vivo flow cytometry, transcriptome profiling or in vitro culture experiments. There is a significant knowledge gap on how these cells function in vivo. One current project uses high resolution imaging to map TAM subset activity during tumor progression and defines how TAM-targeting agents alter this activity. Related projects are aimed at understanding efficacy or resistance to anti-PD1, anti-PDL1 and anti-CTLA4 therapies.

Systems pharmacology

We use the term “systems pharmacology” to define research that aims at understanding how drugs work (on specific pathways, on different cell types and in different tissues/organs/diseases), what the variability in patient response is and why many cancer treatments fail. Using a broad array of technologies including in vivo imaging of pharmacokinetics, intravital pharmacodynamic imaging (IPDI), mass spectrometry analysis, novel nanotechnology sensing approaches and chemical biology we obtain quantitative measurements and then develop mechanistic and probabilistic models. Network analysis and quantitative measurements of drug actions and side effects play a key component. Ultimately, we hope to improve our poor understanding of treatment response and define new targets drugs (or synergistic combinations) to tackle complex diseases.

Some of the Questions we are currently addressing are:

This effort is multidisciplinary and inter-institutional involving investigators from the Department of Systems Biology at Harvard Medical School (Initiative in Systems Pharmacology), Harvard affiliated teaching hospitals and MIT.

Past Research Projects