The Quantitative Biology Summer Bootcamp at UCSD and SDSU is designed to introduce motivated and curious students from any institutions in the greater San Diego area to the new leading-edge field of Quantitative Biology. Inquiries from undergraduate or graduate students, as well as exceptionally motivated high school students, are welcome. Students from under-represented minority groups are particularly encouraged to apply. Students will have the opportunity for a hands-on experience with world experts at UCSD and SDSU in the new field …

Cancer researchers are now focusing on the “long tail”, collecting and cataloging rare mutations occurring in 1% or fewer of cancer patients. These rarer mutations may underlie the critical functional changes within cells that characterize and define this collection of diseases. But there is a big challenge here, a double-edge sword for researchers: because of their rarity, it is actually much harder to distinguish these rare mutations from random mutations that don’t affect disease.
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Congratulations to our new Seed Grant Awardees and welcome to the SDCSB community!

Dr. Andrew Allen (J Craig Venter Institute) “Functional Diversity of Marine Eukaryotic Phytoplankton”
Dr. Eric Bennett (UCSD Biological Sciences) “Elucidate the dynamics of individual mRNPs in response to cellular stress conditions that induce autophagy”
Dr. Steve Briggs (UCSD Biological Sciences) “Profiling the transcriptome and proteome”
Dr. Pieter Dorrestein (UCSD School of Pharmacy) “Topographical molecular analysis of the skin from a man and a woman”
Dr. Julian Schroeder (UCSD Biological Sciences) “Network analysis and modeling of CO2 stress controlled …

Better cancer treatments can be found by studying the genetic networks they involve, according to a study published by SDCSB researchers. While individual cancer patients vary greatly in the precise mutations that drive tumors, they can be grouped into similar genetic networks that mesh with response to therapy, stated the study, published in Nature Methods.

Trey Ideker

Its senior author is Trey Ideker, division chief of genetics in the UCSD School …

Suckjoon Jun, a Biology and Physics professor at UC San Diego has received a $1.15 million grant from the National Science Foundation to establish a series of annual “boot camps” that will educate high school and college students about Quantitative Biology, an emerging field at the intersection of physics and biology. Read more at UCSD News.

The San Diego Center for Systems Biology (SDCSB) invites applications for up to five SDCSB Seed Grants for Collaborative Research Projects. SDCSB seeks to foster Systems Biology – particularly pertaining to the emergent network properties that regulate the cellular responses to stress.  Please see http://sdcsb.org for mission, broader goals, research activities and outreach activities of SDCSB.

 
SDCSB Seed Grants
Funding period: Sept 15, 2013 to August 31, 2014
Funding amount: $35,000 in total (direct and indirect) costs

Application Deadline: August 25, 2013
Any Principal Investigator at San Diego/La …

Jun is among 22 of the nation’s most enterprising researchers named Pew Scholars in the Biomedical Sciences by The Pew Charitable Trusts. These scholars will each receive $240,000 over the next four years to pursue research projects without restriction that are focused on solving some of the nation’s most perplexing health problems—including diabetes, autism, Parkinson’s disease and cancer. The Pew Scholars in the Biomedical Sciences award exemplifies the success being seen through the UC San Diego Young Investigator Program.
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SDCSB investigator Suckjoon Jun was awarded a $1.6 million grant from the Paul G. Allen Family Foundation, becoming the first UC San Diego researcher to receive an award from the foundation.

Jun was one of five announced winners in early March for projects “that aim to unlock key questions in the areas of cellular decision making and modeling dynamic biological systems.” He was chosen for his work on understanding and modeling the control of cell size at the single-cell level.

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