DSB Retreat Boasts Diverse Research, Spotlights Young Investigators
Each year the Department of Systems Biology community comes together for an off-campus retreat to discuss science, share ongoing research and to network. During this year's two-day program, held in Ellenville, NY, research presentations were primarily delivered by young investigators, shining a light on the ongoing work by our graduate students and post-docs.
Detailed Map Gives Scientists a New Window into how Human-Infecting Viruses Work
Columbia University biologists leveraged a computational method to map protein-protein interactions between all known human-infecting viruses and the cells they infect. The method, along with the data that it generated, has spawned a wealth of information toward improving our understanding of how viruses manipulate the cells that they infect and cause disease. Among its findings, the work uncovered a role for estrogen receptor in regulating Zika Virus infection, as well as links between cancer and the human papillomavirus. The research, led by Dr. Sagi Shapira, appears Aug. 29 in the journal, Cell.
Spotlighting Interdisciplinary Research and Young Investigators
Innovative research projects were highlighted at the Department of Systems Biology’s annual retreat at Wave Hill Public Garden and Cultural Center. The retreat, attended by 160 guests, also provided an opportunity for young investigators to showcase their work during a poster competition. Congratulations goes out to this year's research poster winners: Andy Chiang (Vitkup Lab), Huijuan Feng (Zhang Lab) and Hanna Levitin (Sims Lab).
Symposium Spotlights Advancements in Translational Cancer Research
The recent Cancer Genomics Symposium featured talks by leading computational biologists, physicists, engineers, mathematicians, and oncologists, and explored important research grounded in cancer genomics and mathematical data analysis.
Database of Protein-Protein Interactions Opens New Possibilities for Systems Biology
PrePPI uses protein structural data to predict the likelihood that any two proteins interact. Its unprecedented scope is enabling the Honig Lab to ask new kinds of biological questions.