MOG pm 02:30 Evaluation of a modified Orbitrap Astral mass spectrometer for quantitative proteomics – beyond identification lists; Michael J MacCoss1 ; Chris Hsu1 ; Nicholas Shulman1 ; Anna Pashkova2 ; Deanna L Plubell1 ; Eugen Damoc2 ; Hamish Stewart2 ; Johannes Petzoldt2 ; Brendan MacLean1 ; Philip Remes3 ; Andrew N Hoofnagle4 ; Alexander Makarov2 ; Christian Hock2 ; Vlad Zabrouskov3 ; Christine C Wu1 ; 1University of Washington - Genome Sciences, Seattle, WA; 2Thermo Fisher Scientific (Bremen) GmbH, Bremen, Germany; 3Thermo Fisher Scientific, San Jose, California; 4University of Washington, Seattle, WA

TOA pm 03:50 Closing the gap between targeted and untargeted measurements using intelligent data acquisition on Stellar MS; Lilian Randolph Heil1 ; Cristina Jacob2 ; Nicholas Shulman3 ; Brendan X. MacLean3 ; Michael J. MacCoss3 ; Philip Remes1 ; 1Thermo Fisher Scientific, San Jose, CA; 2ThermoFisher Scientific, San Jose, CA; 3University of Washington, Seattle, WA 

WOD am 08:50 Understanding cellular and global molecular dynamics during spleen aging using a multiomics approach; Katarina Vlajic1 ; Alison Luciano2 ; Gennifer E Merrihew1 ; Michael Riffle1 ; Kristine A Tsantilas1 ; Michael J MacCoss1 ; Gary A Churchill2 ; Devin K Schweppe1 ; 1University of Washington, Seattle, WA; 2The Jackson Laboratory, Bar Harbor, ME

ThOA pm 02:30 Carafe enables high quality in silico spectral library generation for data-independent acquisition proteomics; Bo Wen1 ; Chris Hsu1 ; Wen-Feng Zeng2 ; Michael Riffle1 ; Alexis Chang1 ; Miranda Mudge1 ; Brook Nunn1 ; David Shteynberg1 ; Brendan MacLean1 ; Matthew D. Berg1 ; Judit Villen1 ; Michael J. MacCoss1 ; William S. Noble1, 3; 1Department of Genome Sciences, University of Washington, Seattle, WA; 2Department of Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Munich, Germany; 3Paul G. Allen School of Computer Science and Engineering, University of Washington, Seattle, WA 

MP 461 Proteomic Data Commons: Empowering Cancer Research Through Comprehensive Proteomic Data; Alexander Pilozzi1 ; Yin Lu1 ; Karen A Ketchum1 ; Nathan Edwards2 ; Michael Holck1 ; Deepak Singhal1 ; Paul A Rudnick3 ; Michael MacCoss4 ; Aaron Maurais4 ; Sudha Venkatachari5 ; Ratna R Thangudu1 ; 1 ICF, Rockville, MD; 2Georgetown University, Washington, DC; 3Spectragen Informatics, Bainbridge Island, WA; 4University of Washington, Seattle, WA; 5Frederick National Laboratory, Rockville, MD

TP 193 DIA for the masses: strategies for implementation in unit resolution; Deanna L Plubell1 ; Christine C. Wu1 ; Bo Wen1 ; Fengchao Yu2 ; Philip M. Remes3 ; Lilian R Heil3 ; Alexey I. Nesvizhskii4 ; Michael J MacCoss1 ; 1University of Washington, Seattle, WA; 2University of Michigan, Ann Arbor, Michigan; 3Thermo Fisher Scientific, San Jose, CA; 4University of Michigan, Ann Arbor, MI

TP 198 Extending LOD/LOQ Estimation and Quantitative Benchmarking for High-Throughput Proteomics; Lindsay K Pino1 ; Seth Just2 ; Daniele Canzani1 ; Jack Penny3 ; Ben Collins3 ; Sebastian J. Paez1 ; Michael Riffle4 ; Michael J. MacCoss4 ; William E. Fondrie1 ; Alexander J. Federation1 ; 1Talus Bioscience, Seattle, WA; 2Seer, Inc, Redwood City, CA; 3Queen's University Belfast, Belfast, United Kingdom; 4University of Washington, Seattle, WA 

TP 492 Improved quantitative accuracy in data-independent acquisition proteomics via retention time boundary imputation; Lincoln J Harris1 ; Michael Riffle1 ; Michael J. MacCoss1 ; William S. Noble1 ; 1University of Washington, Seattle, WA 

TP 515 Introduction of AlphaPeptDeep and Carafe Automated AI Spectral Library Construction in Skyline; David Shteynberg1 ; Bo Wen1 ; Nicholas Shulman1 ; Matthew C Chambers1 ; Brian S. Pratt1 ; William S. Noble1 ; Michael J MacCoss1 ; Brendan X. MacLean1 ; 1University of Washington, Seattle, WA

WP 316 Application of Concepts from Adaptive Retention Time Improves the Robustness of LC Peak Integration in Targeted MSn Experiments; Philip M Remes1 ; Lilian H. Heil1 ; Cristina C. Jacob1 ; Nicholas Shulman2 ; Brendan X. MacLean2 ; Qin Fu1 ; Jihyeon Lee3 ; Jennifer Van Eyk3 ; Michael J. MacCoss2 ; 1Thermo Fisher Scientific, San Jose, CA; 2University of Washington, Seattle, WA; 3Cedars Sinai Medical Center, Los Angeles, CA

WP 334 Conditional use of search-engine-determined integration boundaries in Skyline 25.1; Nicholas Shulman1 ; Michael Riffle1 ; Christine C Wu1 ; Brendan MacLean1 ; Michael J MacCoss1 ; 1University of Washington - Genome Sciences, Seattle, WA

WP 395 Enhancing plasma proteome profiling through costeffective, robust and high-throughput workflows based on hyper-porous magnetic beads; Amy Van Graan1 ; Ireshyn S Govender2 ; Christine Wu3 ; Michael J. MacCoss3 ; Isak Gerber1 ; Justin Jordaan1 ; Previn Naicker1 ; 1ReSyn Biosciences, Pretoria, South Africa; 2Council for scientific and industrial research, Pretoria, South Africa; 3University of Washington, Seattle, WA

WP 678 Simplifying Clinical Mass Spectrometry: Coupling the SISCAPA Workflow with the Stellar Mass Spectrometer for Protein Biomarker Quantification; Richard Yip1 ; Deanna L Plubell2 ; Andrew Hettle1 ; Morteza Razavi1 ; Andrew N Hoofnagle2 ; Michael J MacCoss2 ; Leigh Anderson1 ; 1SISCAPA Assay Technologies Inc., Victoria, BC; 2University of Washington, Seattle, WA

ThP 053 Plasma Proteomics Using Mag-Net and Proteograph XT Enrichment Enables Multi-Faceted Biomarker Discovery with Complementary Protein and Peptide Coverage; Blake L Tsu1 ; Stefanie N Kairs1 ; Sangtae Kim1 ; Goo Jun2 ; Craig L Hanis2 ; Eric L Brown2 ; Christine C Wu3 ; Michael J MacCoss3 ; Christopher A. Barnes1 ; 1NGeneBioAI, San Diego, CA; 2Department of Epidemiology, School of Public Health, UTHealth Houston, Houston, TX; 3University of Washington - Genome Sciences, Seattle, WA

ThP 295 Skyline and msconvert in Docker: broadening access to powerful MS data processing tools beyond Windows environments; Matthew C Chambers1 ; Brendan X. MacLean1 ; Michael J MacCoss1 ; 1University of Washington - Genome Sciences, Seattle, WA

ThP 296 Limelight – a generalized web app for analyzing, visualizing, and sharing DDA proteomics data and results; Michael Riffle1 ; Alex Zelter1 ; Daniel Jaschob1 ; Michael R Hoopmann1, 2; Danielle A Faivre1 ; Robert L Moritz2 ; Trisha N Davis1 ; Michael J MacCoss1 ; Nina Isoherranen1 ; 1University of Washington, Seattle, WA; 2 Institute for Systems Biology, Seattle, WA

ThP 537 Peptide quantification in cerebrospinal fluid for the analysis of neurodegenerative diseases; Gennifer E Merrihew1 ; Deanna L Plubell1 ; Michael Riffle1 ; Bo Wen1 ; Jessica Becker2 ; Julia E Robbins1 ; Brian C. Searle3 ; Christine Wu1 ; Kathleen Poston4 ; Thomas Montine4 ; Andrew N Hoofnagle2 ; Michael J MacCoss1 ; 1University of Washington - Genome Sciences, Seattle, WA; 2University of Washington, Seattle, WA; 3The Ohio State University, Columbus, OH; 4Stanford University, Stanford, CA 

ThP 674 Addressing cerebellum tissue heterogeneity with spatial proteomics at low input; Chris Hsu1 ; Amber Nolan1 ; Christine C. Wu1 ; C. Dirk Keene1 ; Michael J MacCoss1 ; 1University of Washington, Seattle, WA 

07 Towards Guidelines for DIA Reporting Criteria Data Independent Acquisition Interest Group Presiders: Mike MacCoss, Michael Ford Ballroom IV