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 develop and improve 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...

Dr. Jim Brunner's abstract of our development of a dynamical system model for predicting gene expression from the epigenome was accepted for a lightning presentation at the 10th Annual Southern California Systems Biology Symposium. Congratulations! (March 3, 2021)

Carolyn Harris had her manuscript "Multi-Staged Data-Integrated Multi-Omics Analysis for Symptom Science Research" was accepted by Biological Research for Nursing. Congratulations, Carolyn! (March 1, 2021)

Our paper using machine learning approaches to develop and evaluate models to predict evening cancer chemotherapy-related fatigue following chemotherapy was published today: Prediction of evening fatigue severity in outpatients receiving chemotherapy: less may be more. Congratulations, all! (February 23, 2021)

Dr. Chris Miaskowski (Mentor) and I (Mentee) are honored and grateful to have received the Mentor-Mentee Research Award at the inaugural NINR-ONS-NCI Symptom Science Symposia. The purpose of the award is recognize an outstanding mentor and mentee dyad for their contributions to the Oncology Nursing Research program. (February 5, 2021)

The UCSF School of Nursing is the top public recipient of 2020 federal research funding! See the whole article 'UCSF School of Nursing Ranks No. 1 Among Public Institutions in NIH Funding', (February 17, 2021).

Congratulations to Carolyn Harris, Kate Oppegaard, and Joosun Shin who all presented their research recently in virtual podium presentations at the inaugural NINR-ONS-NCI Symptom Science Symposia (February 4-5, 2021)

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. This browser is the world’s most comprehensive, publicly available and unrestricted tracking system for new strains of the SARS-CoV-2 virus. See the whole article in the UCSC Genome Browser News 'May 4th data release for SARS-CoV-2 genome browser' (May 4, 2020) and the associated manuscript.

Even with our (relatively) modest compute resources, we can do our part to support the computational efforts to evaluate for therapeutic compounds to treat COVID-19. Since March 2020, we have dedicated a GPU and CPU core to the [email protected] projects which includes COVID Moonshot Sprints to evaluate potential drugs. As of February 23, 2021 our over 1,000 completed work units moved us into the top 1% of contributors.

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.