The Di Talia laboratory develops live imaging and computational methods to probe the dynamics of the signaling pathways that control cell division during development and regeneration. They aim to uncover the dynamical principles that ensure that embryonic development and regeneration are regulated in a reliable manner.
Adam Deutschbauer has a background in Microbial systems biology. As part of the Virtual Institute of Microbial Stress and Survival, he develops next-generation tools for microbial functional genomics. As the Biotechnology Component Deputy Director, he helps drive the development of experimental and computational approaches to develop models of microbial metabolism, gene regulation, and signal transduction.
How developing organisms generate and maintain cells with specialized functions and fates is a fundamental problem in biology. The Cabernard lab is investigating asymmetric cell division (ACD), a process that generates cellular diversity. They are using Drosophila melanogaster neuroblasts, the neural stem cells in the fly as a model to study the molecular cell biology and mechanics of asymmetric stem cell division.
The Ünal lab studies the principles that control the nuclear and cytoplasmic integrity of gametes. They are interested in understanding the principles and regulation of meiotic differentiation.
The Gladfelter lab is interested in how cells are organized in time and space. They study how cytoplasm is spatially patterned and how cells sense their own shape. They also investigate how timing in the cell division cycle can be highly variable yet still accurate. For their work, we combine quantitative live cell microscopy and computational, genetic and biochemical approaches in fungal and mammalian cells.
Dr. Daria Mochly-Rosen founded the SPARK program to provide a cost-effective model to generate proof of concept using industry standards. Since 2006, SPARK has advanced scores of new diagnostics and drugs to the clinic and commercial sectors and educated hundreds of faculty, postdoctoral fellows, and students on the translational process. Dr. Mochly-Rosen's research lab is a multi-disciplinary lab that includes chemists, biochemists, biologists and physician scientists. They develop pharmacological agents and apply them to understand molecular and cellular events under basal and disease conditions using in vitro, in culture and in vivo models.
Dr. Darlene Solomon is senior vice president and chief technology officer for Agilent Technologies. Her responsibilities include Agilent Research Laboratories which focuses on high impact, longer range research in support of Agilent's sustained business growth, and Agilent's programs in university relations, external research and venture investment. In her leadership role, she works closely with Agilent's businesses to define the company's technology strategy and R&D priorities.
Dr. Qi is a pioneer in the CRISPR technology development for genome engineering. His research laboratory focuses on the bioengineering of genetics and cells. They are interested in developing genetic engineering technologies and exploring discovery-based synthetic biology for diverse applications, and explore how the human genome encodes functions, and how to rationally design genetic circuits for new therapeutics.
Dr. Cases's is the Vice President of Oncology Scientific Innovation at Johnson & Johnson Innovation in California. She has significant experience in the fields of cancer biology and metabolism, with more than 16 years in research and drug discovery in both pharma and biotech.
Recent studies have demonstrated that in addition to biochemical and genetic interactions, cellular systems also respond to biophysical cues, such as electrical, thermal, and mechanical signals. However, we only have limited tools that can introduce localized physical stimuli and/or sense cellular responses with high spatiotemporal resolution. Dr. Tian's group integrates material science with biophysics to study several semiconductor-based biointerfaces.
Imaging fluorescently-labeled DNA in live cells with nanoscale precision shows significant promise as a diagnostic tool; however, the intrinsically stochastic nature of biological systems limits our ability to interpret meaningful signals from the noise. Here we discuss the implementation of advanced, 3D microscopy into an imaging flow cytometer and the unique calibration protocol we developed, in which we rely on statistical distributions rather than the unattainable static ground-truth. We demonstrate our system on live yeast cells, attaining 3D spatial information with orders of magnitude higher throughput than previous methods.
