The mentorship of current and future trainees who can tackle cancer-related problems with computational systems biology approaches is an integral part of fulfilling our commitment to catalyze and generate new bodies of knowledge and fields of cancer study. To achieve this goal, we will: 1) Establish graduate student fellowships for students jointly mentored in computational systems biology, precision measurement or oncology. 2) Provide undergraduate research opportunities for MIT students to work in laboratories at DFCI. 3) Provide outreach to the biotech/pharmaceutical industry. 4) Establish an NCI CSBC Junior Investigators program. 5) Facilitate monthly meetings and annual retreats that will be open to the MIT/DFCI community. 6) Offer mini-courses and training in experimental and computational methods. 8) Provide outreach to the community. and 7) Establish and maintain a website for disseminating research activities of our center as well as relevant techniques and applications.
Luskin, Marlise R; Murakami, Mark A; Manalis, Scott R et al. (2018) Targeting minimal residual disease: a path to cure? Nat Rev Cancer 18:255-263 |
Ordovas-Montanes, Jose; Dwyer, Daniel F; Nyquist, Sarah K et al. (2018) Allergic inflammatory memory in human respiratory epithelial progenitor cells. Nature 560:649-654 |
Mead, Benjamin E; Ordovas-Montanes, Jose; Braun, Alexandra P et al. (2018) Harnessing single-cell genomics to improve the physiological fidelity of organoid-derived cell types. BMC Biol 16:62 |
Kimmerling, Robert J; Prakadan, Sanjay M; Gupta, Alejandro J et al. (2018) Linking single-cell measurements of mass, growth rate, and gene expression. Genome Biol 19:207 |
Cetin, Arif E; Stevens, Mark M; Calistri, Nicholas L et al. (2017) Determining therapeutic susceptibility in multiple myeloma by single-cell mass accumulation. Nat Commun 8:1613 |
Shalek, Alex K; Benson, Mikael (2017) Single-cell analyses to tailor treatments. Sci Transl Med 9: |