URAP Project Descriptions

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Showing 4 projects out of 4 found. On page 1 out of 1.
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Project 1: Molecular control of organ regeneration in development and evolution

Guo Huang - Professor, UC San Francisco

Status: Current Term Now Closed Weekly Hours: 12 or more hours Location: On Campus

As shown in our recent publication (Hirose*, Payumo*, et al Science 2019), we aim to understand the divergent regenerative potential in ontogeny and phylogeny. For example, heart regeneration is remarkably robust in adult zebrafish and newborn mice while very limited in adult mammals. We use the heart as a model...

Biological & Health Sciences

Project 2: Extreme physiology (a) with low heart rates or (b) between identical twins (students with healthy low heart rates or identical twin siblings are especially encouraged to apply)

Guo Huang - Professor, UC San Francisco

Status: Current Term Now Closed Weekly Hours: 12 or more hours Location: On Campus

We aim to study whether there are extreme physiological phenomena (1) in individuals with healthy low heart rates (less than 45 beats/min) and (2) among identical twins that can not be explained by any known biological mechanism. We will exploit classical and non-classical model systems to explore these...

Biological & Health Sciences

Project 3: Single-cell live imaging cell division and dynamics during organ regeneration in vivo and in culture in vitro (students who are passionate about photography are encouraged to apply. Experiences with photography and imaging processing are a plus but not required)

Guo Huang - Professor, UC San Francisco

Status: Current Term Now Closed Weekly Hours: 12 or more hours Location: On Campus

Current studies of mouse heart regeneration are largely limited to postmortem analysis of heart tissue to explore cellular activity and molecular mechanisms. We aim to combine a novel imaging window system designed and surgically implanted on the mouse chest by the Huang Lab at UCSF with the free-space angular...

Biological & Health Sciences

Bioinformatics prediction of gene network and in silico gene perturbation (students in the Computer science major or with strong coding experiences are encouraged to apply)

Guo Huang - Professor, UC San Francisco

Status: Current Term Now Closed Weekly Hours: 12 or more hours Location: On Campus

There are emerging AI-trained models that integrate tremendous genomic, genetic and gene expression datasets to successfully predict complex gene networks and functional outcomes after in silico gene perturbation. Now we are exploring these models to understand organ physiology and pathology from developmental and evolutionary perspectives. ------------------------- Publications from previous URAP...

Biological & Health Sciences