Welcome to the Kober Lab

Welcome to our lab!

We are interested in using rich demographic, clinical and molecular data to improve our understanding of the molecular mechanisms underlying common symptoms (e.g., fatigue, neuropathy) or treatment failure (i.e., antiretroviral (ARV) therapy failure to treat HIV) experienced by patients with chronic medical conditions (e.g., cancer, HIV infection).

In addition, we hope to develop and improve risk prediction models that would assist clinicians to identify high risk patients and provide recommendations for activity modifying interventions.

We are fortunate to have a well established track-record of successful collaborations and mentorships with transdisciplinary research teams. We believe this approach is needed to develop future symptom scientists who work with genomics and big data. For additional graduate student and post-doctoral opportunities, please look at the UCSF School of Nursing T32 Biobehavioral Research Program in Symptom Science.

In the news...

Congratulations to Carolyn Harris and Kate Oppegaard who both presented their research recently in virtual podium presentations at the 2020 International Society of Nurses in Genetics (ISONG) Congress: "Genomic Nursing: Fulfilling Nightingale’s Legacy of Care" (November 13, 2020).

We are excited and honored to share that our work on "Morning Fatigue Severity Profiles in Oncology Outpatients Receiving Chemotherapy" (Wright et al. 2019, PMID 30024437) has received the annual Research Award from Cancer Nursing for 2019. Congratulations to our team! (August 5, 2020)

In support of the research community’s response to the COVID-19 pandemic, from March through June 2020 Kiley Charbonneau and Maureen Lewis performed literature reviews and provided annotations of human and viral genome mappable data for the SARS-CoV-2 Genome Browser for the Crowd-Sourced Data track. See the whole article in the UCSC Genome Browser News 'May 4th data release for SARS-CoV-2 genome browser' (May 4, 2020)

Even with our (relatively) modest compute resources, but we can do our part to the computational efforts to evaluate for therapeutic compounds to treat COVID-19. Since March 2020, we have dedicated a GPU and CPU core to contribute to the [email protected] projects which includes COVID Moonshot Sprints to evaluate potential drugs.

The Search for Mechanisms Underlying Fatigue Through Gene Expression Profiling. Our research was highlighted in a recent profile of the Fatigue Study Group of the Multinational Association of Supportive Care in Cancer (MASCC) Society. See the whole article in the MASCC Society News (January 4, 2017)

Bringing Big Data Analysis to the Search for Symptom Relief. Our research was highlighted in a recent profile in the UCSF Science of Caring. See more in The Science of Caring article (January 9, 2015) .

Photo Credit: Homepage artwork by Catherine Nguyen, RN as part of the SON N294A Introduction to Human Genomics course.