Evidence map›Paper›PMID 35512256›Full record

ArticleAmerican journal of clinical pathology2022

Tandem Mass Spectrometry-Based Amyloid Typing Using Manual Microdissection and Open-Source Data Processing.

William S Phipps, Kelly D Smith, Han-Yin Yang, Clark M Henderson, Hannah Pflaum, Melissa L Lerch, William E Fondrie, Michelle A Emrick, Christine C Wu, Michael J MacCoss and 2 more

Open access · greenAbstract read
In one paragraph

Article in American journal of clinical pathology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.4field-weighted citation impact, top 39% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Amyloidosis Found in the Breast: A Case Report.The American journal of case reports · 2024
    Article
  5. Review
  6. Clinical Proteomics for Solid Organ Tissues.Molecular & cellular proteomics : MCP · 2023
    Article
  7. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 4 institutions in 1 country.

William S PhippsDepartment of Laboratory Medicine and Pathology, Seattle, WA, USA.
Kelly D SmithDepartment of Laboratory Medicine and Pathology, Seattle, WA, USA.
Han-Yin YangDepartment of Genome Sciences, University of Washington, Seattle, WA, USA.
Clark M HendersonDepartment of Laboratory Medicine and Pathology, Seattle, WA, USA.
Hannah PflaumDepartment of Laboratory Medicine and Pathology, Seattle, WA, USA.
Melissa L LerchDepartment of Laboratory Medicine and Pathology, Seattle, WA, USA.
William E FondrieDepartment of Genome Sciences, University of Washington, Seattle, WA, USA.
Michelle A EmrickDepartment of Laboratory Medicine and Pathology, Seattle, WA, USA.
Christine C WuDepartment of Genome Sciences, University of Washington, Seattle, WA, USA.
Michael J MacCossDepartment of Genome Sciences, University of Washington, Seattle, WA, USA.
William S NobleDepartment of Genome Sciences, University of Washington, Seattle, WA, USA.
Andrew N HoofnagleDepartment of Laboratory Medicine and Pathology, Seattle, WA, USA.ORCID 0000-0002-6449-0243
University of Washington · USSeattle University · USSeagen (United States) · USSeattle Children's Hospital · US

Funding

TrainingP41GM103533 · NIGMS · UNIVERSITY OF WASHINGTON · PI YATES III, JOHN R · 2012 to 2021
$20.7M
Optimization and joint modeling for peptide detection by tandem mass spectrometryR01GM121818 · NIGMS · UNIVERSITY OF WASHINGTON · PI NOBLE, WILLIAM STAFFORD · 2017 to 2020
$1.3M
NIGMS NIH HHS P41 GM103533NIGMS NIH HHS R01 GM121818
6 · The paper itself

Abstract

objectivesStandard 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.

methodsWe 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.

resultsCases 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.

conclusionsAccurate 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.

Indexed as

AmyloidosisTandem Mass SpectrometryAmyloidAmyloidogenic ProteinsHumansMicrodissectionAmyloidAmyloidogenic ProteinsAmyloidCruxLiquid chromatographyOpen sourceTandem mass spectrometry

Identifiers

PMID35512256
PMCPMC9071319
OpenAlexW4229058034

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.