CYTO 2013 is kicking off this weekend in San Diego, California and Cytobank will be there – stop by the Cytobank booth #442 to say hi and then visit the following talks and posters featuring Cytobank.
Venue and Date:
May 19-22, 2013
CYTO 2013
XXVIII Congress of the International Congress for Advancement of Cytometry (ISAC)
San Diego Convention Center
San Diego, CA
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May 15, 2013 at 11:15 pm Geoff Kraker
Welcome to Cytobank User Stories, a series featuring interviews with Cytobank users on their research, scientific vision, and use of flow cytometry.
This time we interview Greg Behbehani, Ph.D., Postdoctoral Fellow in the Nolan Lab, affiliated with the Baxter Laboratory of Stem Cell Biology and the Departments of Hematology and Oncology at Stanford University School of Medicine. Greg’s recent publications include his work developing cell cycle analysis for mass cytometry using the human hematopoietic hierarchy as a model system and is featured on the cover of Cytometry this month. You can interact directly with these data via Greg’s Cytobank Report, which can also be found on the Nolan Lab Signaling-Based (Fluorescence & Mass) Cytometry Resource.
Send us feedback and let us know who you’d like to hear from (including yourself)!
| What are you excited about in science? What is your scientific vision? |
 Greg Behbehani, Ph.D. Postdoctoral Fellow, Nolan Lab, Stanford University My research is focused on understanding how human cancer cells grow and die, specifically in response to chemotherapy treatments. I’m excited about the new possibilities that have been opened up in systems biology. Ideally, I would like to design experiments to test some of the hypotheses that have been advanced regarding how cancer cell populations become resistant to chemotherapy using primary cell populations and analyzing responses across all of the different cancer cell sub-populations. While these types of experiments have been tried before, I think we now have the technologies that might allow us to be successful at using these techniques to predict chemotherapy responses.
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July 30, 2012 at 11:44 am Angela Landrigan