Utah Proteomics Affinity Group
presents the
1st Annual Utah Proteomics Summer Short Course
July 14-17, 2025
Our Fundamentals in Proteomics course will familiarize participants with the foundations of mass spectrometry (MS)-based proteomics experimental design, sample preparation, LC-MS/MS equipment handling, and data analysis tools. The course will include a balanced mix of classroom lectures from University of Utah and Brigham Young University Investigators U of U and BYU Investigators and hands-on training!
Course Location:
Crocker Science Center
University of Utah
1390 Presidents’ Circle
Salt Lake City, UT 84112
Course Description:
- Introduction to MS-based proteomics, experimental design, and common assays
- Hands-on protein digestion techniques for bottom-up proteomics.
- Theory and applications of nano-electrospray liquid chromatography (LC)-MS on the ThermoFisher Scientific Exploris 480 and the Bruker timsTOF Pro2.
- Fundamentals of quantitative proteomics using both isobaric labeling and label free data independent analysis.
- Hands-on data analysis techniques using the open-source software packages Fragpipe 22.0, DIA-NN 1.9.1, and Perseus 2.0.11.
Registration fee $100, all materials and lunches included!
This course is limited to 20 participants. Prospective participants will be waitlisted after capacity has been reached.
Cancellations before June 19th will be eligible for a full refund.
No refunds will be issued for cancellations after June 19th. NO EXCEPTIONS
We would like to thank our sponsors:
The U of U CoP, HCI, CVRTI, and HSC Cores
for their generous support of the proteomics research community in the state of Utah.
Organizers
| Day 1 | Crocker Science Center (Classroom – #108 | Wet lab – #109) |
|---|---|
| 8:00 – 8:45am | Intro to Proteomics (lecture) – Dr. Brandon Gassaway (BYU) |
| 8:45 – 9:00am | Break |
| 9:00 – 10:00am | Proteomics Sample Preparation Strategies (lecture) – Dr. Martin Golkowski (U of U) |
| 10:00 – 10:15am | Break |
| 10:15am – 12:30pm | Protein Digestion (wet lab) – Dr. Allison Manuel, Dr. Martin Golkowski and Mr. Ryan Bia (U of U) Student Research Presentations (1 during DTT incubation and 2 during IAA incubation) |
| 12:30 – 1:30pm | Lunch |
| 1:30 – 2:30pm | Student Research Presentations (3) |
| 2:30 – 4:00pm | Protein Digestion (wet lab) – Dr. Allison Manuel, Dr. Martin Golkowski and Mr. Ryan Bia (U of U) |
| Day 2 | Crocker Science Center (Classroom – #108 | Wet lab – #109) |
|---|---|
| 8:00 – 9:30am | Finish protein digestion (wet lab) – Dr. Allison Manuel, Dr. Martin Golkowski and Mr. Ryan Bia (U of U) |
| 9:30 – 10:15am | Student Research Presentations (3) |
| 10:15 – 10:30am | Break |
| 10:30 – 11:30am | Intro to LC-MS/MS analysis (lecture) – Dr. Chris Tracy (BYU) |
| 11:30am – 12:30pm | Student Research Presentations (3) |
| 12:30 – 2:00pm | Lunch and travel to medical school campus (meet in Pharmacy Parking Lot) |
| 2:00 – 4:00pm | Exploris480 and timsTOF tutorial (wet lab) – Dr. Allison Manuel and Dr. Martin Golkowski (U of U) |
| Day 3 | Health Science Education Building (Room #4100B) |
|---|---|
| 8:00 – 8:45am | Proteomics Data Analysis (lecture) – Dr. Allison Manuel (U of U) |
| 8:45 – 9:00am | Break |
| 9:00 – 9:45am | Student Research Presentations (3) |
| 9:45 – 10:00am | Break |
| 10:00 – 11:00am | Protein Quantitation using Isobaric Labeling and DIA (lecture) – Dr. Brandon Gassaway (BYU) and Dr. Allison Manuel (U of U) |
| 11:00am – 12:00pm | Student Research Presentations (3) |
| 12:00 – 1:00pm | Lunch |
| 1:00 – 4:00pm | Hands-on Data Analysis (DDA, DIA and Perseus) – Dr. Allison Manuel (U of U) |
| Day 4 | Health Science Education Building (Room #3515B) |
|---|---|
| 8:00 – 9:00am | Proteomics Applications in Pathology Research (lecture) – Dr. Sarah Franklin (U of U) |
| 9:00 – 9:45am | Student Research Presentations (3) |
| 9:45 – 10:00am | Break |
| 10:00 – 10:45am | Student Research Presentations (3) |
| 10:45 – 11:00am | Break |
| 11:00am – 12:00pm | R studio (lecture) – Dr. Paul Stewart (U of U) |
| 12:00 – 1:00pm | Lunch |
| 1:00 – 4:00pm | Statistical Data Analysis using R studio – Dr. Paul Stewart (U of U) |
| — Course Evaluation — |
Photos will be taken throughout the workshop and posted on our website. Registering for the event implies consent.