If we were able to resurrect a dinosaur in the laboratory today how could we be certain that the particular dinosaur actually existed in the distant past and does not simply represent some mutant frankensaurus?
Ongoing research at Georgia Tech aims to answer this question in an experimental approach by adding rigor to the methods and protocols used to resurrect components of ancient life.
Georgia Tech has created a new data analysis algorithm that quickly transforms complex RNA sequence data into usable content for biologists and clinicians. Scientists will be able to more readily use this data to compare the RNA profiles or “transcriptomes” of normal cells with those of individual cancers and thereby be in a better position to develop optimized personal therapies.
Scientists from Baylor College of Medicine and the Georgia Institute of Technology have won $900,000 from the Ovarian Cancer Research Fund to investigate the early detection of ovarian cancer.
The research, which comprises three separate projects, includes work with a new mouse model of ovarian cancer to identify early detection biomarkers; an effort to characterize proteins and protein variants secreted from ovarian tumors that could serve as serum biomarkers; and work to identify metabolic changes that could help diagnose the disease.
In the current issue of the journal Science, researchers demonstrate how a new virus evolves, which sheds light on how easy it can be for diseases to gain dangerous mutations.
Dr. Brendan Hunt, a postdoctoral researcher in the labs of Drs. Michael Goodisman and Soojin Yi, has been selected as the recipient of the 2012 VWR Postdoctoral Award for Scientific Excellence. Supported by a generous gift from VWR, this award is given annually to a postdoc who has made a significant research contribution in the field of experimental biology.