IUScholarWorksIndiana University Libraries
Communities & Collections
All of IUScholarWorks
  • English
  • العربية
  • বাংলা
  • Català
  • Čeština
  • Deutsch
  • Ελληνικά
  • Español
  • Suomi
  • Français
  • Gàidhlig
  • हिंदी
  • Magyar
  • Italiano
  • Қазақ
  • Latviešu
  • Nederlands
  • Polski
  • Português
  • Português do Brasil
  • Srpski (lat)
  • Српски
  • Svenska
  • Türkçe
  • Yкраї́нська
  • Tiếng Việt
Log In
External Users Only:
New external user? Click here to register. Have you forgotten your external user password?
  1. Home
  2. Browse by Author

Browsing by Author "DeHart, Caroline J."

Filter results by typing the first few letters
Now showing 1 - 1 of 1
  • Results Per Page
  • Sort Options
  • No Thumbnail Available
    Item
    A comprehensive pipeline for translational top-down proteomics from a single blood draw
    (Nature Protocols, 2016-11) Toby, Timothy K.; Fornelli, Luca; Srzentić, Kristina; DeHart, Caroline J.; Levitsky, Josh; Friedewald, John; Kelleher, Neil L.
    Top-down proteomics (TDP) by mass spectrometry (MS) has become increasingly popular in translational spheres as researchers discern the value of proteoform-resolved measurements. The advent of robust prefractionation strategies for intact proteoforms and the emerging availability of high-resolution benchtop mass spectrometers have catalyzed the emergence of high-throughput TDP for the analysis of biological and clinical samples. Here, we provide a comprehensive protocol for TDP of a sample type often investigated in translational research: human peripheral blood mononuclear cells (PBMC). The workflow described herein comprises sample collection, cell lysis, proteoform prefractionation, instrument setup, liquid chromatography-tandem MS (LC-MS/MS) analysis, and data processing, for a minimum completion time of 48 hours. Importantly, this workflow is compatible with multiple PBMC processing strategies and existing biorepository practices, can be used for both small-scale targeted proteoform studies or large-scale multi-sample discovery studies, and has been successfully applied in quantitative contexts for biomarker discovery.
  • Accessibility
  • Privacy Notice
  • Harmful Language Statement
  • Copyright © 2024 The Trustees of Indiana University