Ontology highlight
ABSTRACT: Objectives
Standard implementations of amyloid typing by liquid chromatography-tandem mass spectrometry use capabilities unavailable to most clinical laboratories. To improve accessibility of this testing, we explored easier approaches to tissue sampling and data processing.Methods
We validated a typing method using manual sampling in place of laser microdissection, pairing the technique with a semiquantitative measure of sampling adequacy. In addition, we created an open-source data processing workflow (Crux Pipeline) for clinical users.Results
Cases of amyloidosis spanning the major types were distinguishable with 100% specificity using measurements of individual amyloidogenic proteins or in combination with the ratio of λ and κ constant regions. Crux Pipeline allowed for rapid, batched data processing, integrating the steps of peptide identification, statistical confidence estimation, and label-free protein quantification.Conclusions
Accurate mass spectrometry-based amyloid typing is possible without laser microdissection. To facilitate entry into solid tissue proteomics, newcomers can leverage manual sampling approaches in combination with Crux Pipeline and related tools.
SUBMITTER: Phipps WS
PROVIDER: S-EPMC9071319 | biostudies-literature | 2022 May
REPOSITORIES: biostudies-literature
Phipps William S WS Smith Kelly D KD Yang Han-Yin HY Henderson Clark M CM Pflaum Hannah H Lerch Melissa L ML Fondrie William E WE Emrick Michelle A MA Wu Christine C CC MacCoss Michael J MJ Noble William S WS Hoofnagle Andrew N AN
American journal of clinical pathology 20220501 5
<h4>Objectives</h4>Standard implementations of amyloid typing by liquid chromatography-tandem mass spectrometry use capabilities unavailable to most clinical laboratories. To improve accessibility of this testing, we explored easier approaches to tissue sampling and data processing.<h4>Methods</h4>We validated a typing method using manual sampling in place of laser microdissection, pairing the technique with a semiquantitative measure of sampling adequacy. In addition, we created an open-source ...[more]