Jekyll2026-04-27T04:33:11+00:00https://maccosslab.github.io/feed.xmlMacCoss LabBiological Mass Spectrometry LaboratoryMichael MacCossLauren Fields Selected as 2026 Schmidt Science Fellow2026-03-25T00:00:00+00:002026-03-25T00:00:00+00:00https://maccosslab.github.io/awards/fellowship/schmidt-science-fellows/2026/03/25/lauren-fields-schmidt-science-fellowCongratulations to Lauren Fields, a postdoctoral fellow in the MacCoss Lab, who has been selected as a 2026 Schmidt Science Fellow! The Schmidt Science Fellowship is a highly competitive program that supports the next generation of science leaders working on the world’s most pressing problems. Fellows are chosen for their potential to make a significant impact through interdisciplinary research.

As a Schmidt Science Fellow, Lauren will use advanced mass spectrometry and protein analysis of clinical blood and cerebrospinal fluid samples to search for earlier diagnostic markers for amyotrophic lateral sclerosis (ALS). This work could pave the way for earlier intervention and the development of therapeutics that alter the trajectory of the disease.

Lauren earned her PhD in Chemistry from the University of Wisconsin-Madison in December 2025, where she worked with Professor Lingjun Li on neuropeptide detection strategies using mass spectrometry. As a Schmidt Science Fellow, she will pivot from analytical chemistry into proteomics and genomics, bringing her expertise in mass spectrometry to bear on one of the most challenging problems in neurodegenerative disease research.

Read more about Lauren’s work in the UW-Madison Graduate School press release and learn about the full 2026 cohort of Schmidt Science Fellows.

]]>Michael MacCossFrontiers in Proteomics: Advanced Skyline Applications — 2026 Course in Seattle2026-03-01T00:00:00+00:002026-03-01T00:00:00+00:00https://maccosslab.github.io/courses/skyline/proteomics/2026/03/01/skyline-course-seattle-2026We are pleased to announce an all-new advanced course: Frontiers in Proteomics: Advanced Skyline Applications, taking place July 6–10, 2026 at the Foege Building, University of Washington, Seattle.

This year’s curriculum has been completely redesigned for experienced Skyline users looking to deepen their expertise across advanced quantitative proteomics topics. Through lectures, hands-on exercises, and guided discussions, participants will explore:

  • System suitability and quality control strategies
  • Statistical methods for designing and analyzing advanced DIA experiments
  • AI-driven workflows
  • The Skyline software ecosystem and integrating external tools effectively
  • Experiment design tailored to your own research goals

The instructor list includes researchers and software developers from the MacCoss Lab, alongside experts with extensive experience in targeted and quantitative proteomics — a unique opportunity to learn directly from the creators of Skyline.

  • Who: Experienced Skyline users
  • When: July 6–10, 2026
  • Where: Foege Building, University of Washington, Seattle
  • Cost: Academic: $500 | Industry: $1250
  • Participants: 30
  • Apply by: April 1, 2026

Registration includes course materials, refreshments, and a course dinner. Participants are responsible for their own travel, lodging, and meals.

Apply now or see the full course details and schedule.

]]>Michael MacCossTaMADOR Consortium Launches New Website2026-03-01T00:00:00+00:002026-03-01T00:00:00+00:00https://maccosslab.github.io/tamador/targeted-proteomics/diabetes/obesity/2026/03/01/tamador-websiteThe TaMADOR consortium has launched a new website at tamador.org. TaMADOR — Targeted Mass Spectrometry Assays for Diabetes and Obesity Research — brings together research groups funded by two NIDDK programs to develop and disseminate targeted mass spectrometry assays for the diagnosis and monitoring of Type 1 Diabetes and Obesity.

The consortium includes four participating institutions:

  • University of Washington (PIs: Andrew Hoofnagle, Michael MacCoss) — Quantifying proteins in plasma to democratize personalized medicine for patients with Type 1 Diabetes
  • PNNL & University at Buffalo (PIs: Jun Qu, Wei-Jun Qian) — Robust mass spectrometric protein/peptide assays for Type 1 Diabetes clinical applications
  • Cedars-Sinai Medical Center (PI: Jennifer Van Eyk) — Design and validation of easy-to-adopt mass spectrometry assays of importance to Obesity
  • Pacific Northwest National Laboratory (PI: Wei-Jun Qian) — Multiplex mass spectrometric protein assays for precise monitoring of the pathophysiology of Obesity

The site features publications, datasets, meeting information, and links to the Panorama data repository. Check it out at https://tamador.org.

]]>Michael MacCossMike, Nate, and Bill Receive USHUPO 2026 Awards in St. Louis2026-02-24T00:00:00+00:002026-02-24T00:00:00+00:00https://maccosslab.github.io/awards/ushupo/proteomics/2026/02/24/ushupo-2026-awards-updateAt this week’s US HUPO 2026 conference in St. Louis, Missouri, three members of our extended community officially received their awards. Congratulations to Mike MacCoss, Nate Basisty, and Bill Noble!

Mike MacCoss, Nate Basisty, and Bill Noble at US HUPO 2026

Mike MacCoss received the Donald F. Hunt Distinguished Contribution in Proteomics Award, recognizing his outstanding contributions to the field of proteomics, including his scientific achievements and dedication to mentorship and improving equity and inclusion within the community.

Nate Basisty, a former MacCoss lab trainee who completed his Ph.D. at UW co-mentored by Peter Rabinovitch and Mike MacCoss, received the Robert J. Cotter New Investigator Award. Nate is now an NIH Distinguished Scholar and Tenure Track Investigator at the National Institute on Aging, where his Translational Geroproteomics Unit works at the intersection of proteomics and translational aging biology.

Bill Noble, one of our closest colleagues in the Department of Genome Sciences, received the Gilbert S. Omenn Computational Proteomics Award, recognizing his tremendous contributions to machine learning and statistical methods for analyzing shotgun proteomics data.

We are incredibly proud of all three awardees. What a wonderful representation of our community!

]]>Michael MacCossMultiplex Targeted Proteomics Paper Published in MCP2026-01-07T00:00:00+00:002026-01-07T00:00:00+00:00https://maccosslab.github.io/publications/mcp/targeted-proteomics/stellar/2026/01/07/multiplex-targeted-mcpDeanna Plubell’s paper on Development of highly multiplex targeted proteomics assays in biofluids using a nominal mass ion trap mass spectrometer is now published in Molecular & Cellular Proteomics. This work was done during Deanna’s postdoc in the lab and was a fantastic collaboration with our Thermo colleagues Phillip Remes, Cristina Jacob, and Lilian Heil, as well as our neurodegeneration collaborators Kathleen Poston and Tom Montine. The paper demonstrates the generation of large-scale targeted assays using the Stellar mass spectrometer, with applications to cerebrospinal fluid and Mag-Net enriched plasma extracellular vesicles for neurodegenerative disease research.

]]>Michael MacCossMike MacCoss Featured on The Proteomics Show Podcast2025-12-13T00:00:00+00:002025-12-13T00:00:00+00:00https://maccosslab.github.io/podcast/interview/ushupo/2025/12/13/proteomics-show-podcastMike MacCoss was recently interviewed on “The Proteomics Show” podcast leading up to USHUPO 2026. The discussion covers topics in proteomics research and mass spectrometry.

The episode is available wherever you get your podcasts, or you can listen directly on Spotify.

]]>Michael MacCossSkyline Webinar 27: Peak Boundary Imputation for DIA Data2025-12-11T00:00:00+00:002025-12-11T00:00:00+00:00https://maccosslab.github.io/webinar/skyline/dia/2025/12/11/skyline-webinar-27We hosted our third Skyline webinar of 2025 with over 153 participants joining Michael MacCoss and Nick Shulman on December 11th. The webinar introduced the newest Skyline tutorial on Peak Boundary Imputation for DIA Data.

Mike presented a case for imputing boundaries for missing DIA data, and Nick demonstrated the technique using Skyline. The session concluded with a great Q&A that generated many excellent questions and will lead to more discussion in a future webinar.

The webinar recording, slides, tutorial, and data set are available on the Skyline Webinar 27 page.

]]>Michael MacCossMacCoss and MacLean Named to Clarivate Highly Cited Researchers 2025 List2025-11-25T00:00:00+00:002025-11-25T00:00:00+00:00https://maccosslab.github.io/awards/recognition/highly-cited-researchers/clarivate/2025/11/25/clarivate-highly-cited-researchersMichael MacCoss and Brendan MacLean have been recognized on the 2025 Clarivate Highly Cited Researchers list. This list identifies researchers who have demonstrated significant and broad influence in their fields through the publication of multiple highly cited papers over the last decade.

The University of Washington had 56 faculty and researchers named to this year’s list across various fields. The Clarivate Highly Cited Researchers list recognizes world-class researchers selected for their exceptional research performance, demonstrated by production of multiple highly cited papers that rank in the top 1% by citations for their field and year.

This recognition reflects the significant impact of the MacCoss Lab’s work in mass spectrometry and proteomics, particularly the development of widely-adopted tools like Skyline and contributions to quantitative proteomics methodology.

Read more about the 2025 Clarivate Highly Cited Researchers at UW.

]]>Michael MacCossMacCoss Lab Celebrates USHUPO 2026 Award Winners2025-11-24T00:00:00+00:002025-11-24T00:00:00+00:00https://maccosslab.github.io/awards/ushupo/proteomics/2025/11/24/ushupo-2026-awardsWe are thrilled to announce that Mike MacCoss has been selected to receive the 2026 Donald F. Hunt Distinguished Contribution in Proteomics Award from US HUPO. This award recognizes outstanding contributions to the field of proteomics based upon scientific achievement as well as contributions to mentorship and improving equity and inclusion within the field. Mike will present at the US HUPO conference in St. Louis, Missouri (February 21-25, 2026).

We are also proud to celebrate two others closely connected to our lab who are receiving 2026 US HUPO awards:

Nate Basisty, a former MacCoss lab trainee who completed his Ph.D. at UW co-mentored by Peter Rabinovitch and Mike MacCoss, has been selected for the Robert J. Cotter New Investigator Award. Nate is now an NIH Distinguished Scholar and Tenure Track Investigator at the National Institute on Aging, where his Translational Geroproteomics Unit works at the intersection of proteomics and translational aging biology. We are so proud of Nate’s continued success and his dedication to the proteomics community.

Bill Noble, one of our closest colleagues here in the Department of Genome Sciences, has been selected for the Gilbert S. Omenn Computational Proteomics Award. This award recognizes scientists who have developed bioinformatics, computational, statistical methods, and/or software used by the proteomics community. Bill’s contributions to machine learning and statistical methods for analyzing shotgun proteomics data have had an enormous impact on the field.

Congratulations to all three awardees!

]]>Michael MacCossOrbitrap Astral Zoom Paper Published2025-10-30T00:00:00+00:002025-10-30T00:00:00+00:00https://maccosslab.github.io/publications/journal%20of%20proteome%20research/astral/2025/10/30/orbitrap-astral-zoomExcited to see this latest paper published in JPR. For years we’ve wanted a simple way to standardize the signal between mass spectrometry instrumentation. Here we use the precision of an intra spectrum ratio to assess the relationship between the reported signal and the number of ions. We use this strategy to assess the improvement in the Orbitrap Astral Zoom over the original and to evaluate the effect of different acquisition strategies. Looking forward to seeing others apply this approach in the evaluation of other instruments. Great work by graduate student Chris Hsu.

]]>Michael MacCossSkyline Online 20252025-09-27T00:00:00+00:002025-09-27T00:00:00+00:00https://maccosslab.github.io/course/skyline/webinar/2025/09/27/skyline-onlineThe Skyline Team and our invited instructors are pleased to announce the return of the wildly popular Skyline Online course coming this October 2025. These sessions have always filled up quickly. Do not put off registering if you want to attend.

Skyline Online will offer two 2-day sessions on Proteomics (3, 4) topics and a 3-day session on Small Molecule (1-and-2) topics:

-Session 1 and 2 - Intro and Advanced Small Molecule Topics - BONUS! 3 Days, same price - Oct 8-10 -Session 3 - Introduction to Skyline for Proteomics - Oct 14-15 -Session 4 - Advanced Proteomics Topics - Oct 17-18

Register Now

]]>Michael MacCossWeeklong Skyline Course in Seattle2025-07-11T00:00:00+00:002025-07-11T00:00:00+00:00https://maccosslab.github.io/courses/skyline/2025/07/11/skyline-course-seattleWeeklong Skyline Course in Seattle! Great speakers and participation in our yearly course.

]]>Michael MacCossMag-Net Paper Published in Nature Communications2025-07-01T00:00:00+00:002025-07-01T00:00:00+00:00https://maccosslab.github.io/publications/nature-communications/plasma/mag-net/ev/2025/07/01/mag-net-nature-communicationsThe Mag-Net paper is out in Nature Communications. Enrichment of extracellular vesicles using Mag-Net for the analysis of the plasma proteome. This started as a pandemic side project of Chris Wu’s and we now have many variants on the idea. We’ve now put 1000s of plasma samples through this protocol and we know others have too. This has been a game changer for how we view biofluid proteomics.

]]>Michael MacCossTransformer Model for DIA Data Published in Nature Methods2025-07-01T00:00:00+00:002025-07-01T00:00:00+00:00https://maccosslab.github.io/publications/nature-methods/dia/ai/2025/07/01/transformer-dia-nature-methodsNew Publication in Nature Methods. A transformer model for de novo sequencing of data-independent acquisition mass spectrometry data. Great collaborative project pushed by Justin Sanders in the Noble Lab. If you asked me 5 years ago if it would be possible to use a de novo tool on DIA data, I would have thought it would only exist in science fiction. Love being proven wrong.

]]>Michael MacCossSkyline User Group Meeting at ASMS 20252025-06-15T00:00:00+00:002025-06-15T00:00:00+00:00https://maccosslab.github.io/conferences/skyline/asms/2025/06/15/skyline-user-group-asmsSkyline User Group Meeting at ASMS. Another year and another fantastic user group meeting. We had 10 fantastic talks from colleagues describing how they are using Skyline in their research. See recordings on the Skyline website.

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