printer friendly pageBIOS 227: Mass Spectrometry and Proteomics: Opening the Black Box
Focus on designing and analyzing effective proteomics experiments using mass spectrometry and critically evaluating published mass spectrometry-based studies and datasets. Introduces students to the instrumentation, experimental strategies, and computational methods used for identifying and quantifying proteins and protein post-translational modifications using mass spectrometry. Topics include comparative evaluation of mass spectrometer instrument configurations, tandem mass spectrum interpretation, relative and absolute quantitation, and proteome-scale data set analysis. Laboratory time will focus on sample preparation methods, real-time data acquisition, and data analysis software and techniques.
Terms: Win
| Units: 2
Instructors:
Mallick, P. (PI)
;
Pitteri, S. (PI)
BIOS 265: Introduction to Quantitative Reasoning in Biology
Mini-course. Focus on development of basic skills for quantitative reasoning in biology, including order-of-magnitude estimation and use of the broad spectrum of time scales to enable understanding. Primary examples include going from molecular size and energy scales to functions of single cells and going from mutational and selective processes acting on organisms to evolution of populations on laboratory and global scales. Examples will include processes relevant to the COVID-19 pandemic.
Terms: Win
| Units: 2
Instructors:
Fisher, D. (PI)
BIOS 267: Proteomics, Protein Interaction Maps, and Systems Biology
This course will teach principles underlying the biochemistry and biophysics of protein-protein interaction, protein purification, proteomics and mass spectrometry and state-of-the-art tools for assembling protein-protein interaction (PPI) networks including Cytoscape. PPI networks provide a broad tool to build maps for modeling and hypothesis generation for biological systems. Adding curated, public and computed metadata to PPI maps will be included in labs. Statistical, logical Boolean, Bayesian, and graph theoretic methods for network analysis will be discussed and used in lab. Experimental methods in high throughput biology and the strengths/limitations of public data to test multiplexed hypotheses from networks will be emphasized.
Terms: Win
| Units: 1
Instructors:
Jackson, P. (PI)
BIOS 276: Drug Discovery in Neuroscience
Disorders of the nervous system are some of the most common and devastating conditions. Our biological understanding of neurodevelopmental and neurodegenerative diseases has been slow, and the development of drugs has been lagging behind other therapeutic areas. This mini course will provide students with an overview of the principles of drug discovery and the specific issues associated with developing medicines for diseases of the nervous system with a particular focus on recent translational advances. The course will be lecture-based. Several of the lectures will be given by industry experts and leaders. Topics will include an overview of drug discovery and emergent human cellular models of disease, medicinal chemistry approaches, antisense oligonucleotide therapeutics, gene therapies, therapeutic antibodies, cell therapies, and running a drug discovery organization.
Terms: Win
| Units: 2
Instructors:
Dolmetsch, R. (PI)
;
Pasca, S. (PI)
BIOS 281: Career Explorations Opportunities: Transitioning to your Career Choice
The Career Exploration Opportunities (CEO) program highlights the skills necessary to make significant contributions to scientific research, business, policy, communication, and more. This course offers tools and exercises to help late-stage trainees clarify academic and professional priorities. Trainees will be empowered to take charge of their chosen career of choice options through hands-on experiences, which fit their skills, interests, and values.Throughout this course, trainees will receive ongoing support from mentors and employers in their desired field as they develop a job search plan, create tailored resumes/cvs, and cover letters, become more confident in their networking, interviewing, and negotiation skills, and choose the experiential learning options necessary to transition to the next phase of their professional development.
Terms: Win, Sum
| Units: 1
BIOS 282: Clarifying Career Choices: Your Self-Reflective Research Project
Using the ADAPT Integrated Development Model, this course will focus on the areas of Development and Awareness. It is designed for students who aspire to gain clarity and insights about themselves their career choices and options. It is designed to encourage self-knowledge and increased awareness of roles and job opportunities inside and outside of academia, where an in-depth Science background is desired. The course requires students to complete up to 3 assessments, short writing assignments, and participate in small group discussions. All students will have the opportunity to have a 1:1 follow-up session with the Instructor to discuss the insights gained from the course as well as opportunities to network with alumni and future employers from various fields.
Terms: Win
| Units: 1
Instructors:
Mangiarelli, M. (PI)
BIOS 289: Preparation & Practice: Finance of Biotechnology
Tailored lectures and case studies lead to a practical final project. Leaders from local firms and companies will help you gain insight into the biotechnology industry, the skills and experiences necessary to succeed, and the various roles and responsibilities within the industry. Coursework is divided into 4 sections: Introductory Material: The first segment consists of two lectures and introduces the biotechnology company life cycle along with introductory concepts in finance. Venture Capital and Private Equity: The second segment consists of three lectures devoted to venture capital finance and private equity where students will learn the basic mechanics of raising capital. nPublic Finance: The third segment consists of the interpretation of financial statements, construction of company forecasts, and evaluating business value from such projections. Final Project: The final lecture will conclude with student presentations on their final projects.
Terms: Win
| Units: 1
Instructors:
Eberle, S. (PI)
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