Evidence map›Paper›PMID 41629715›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2026

A Spatial Proteomics Approach to Isolate and Analyze Amyloid Proteins Using Laser Capture Microdissection and Mass Spectrometry.

Jennifer Aguilan, Maxwell Horton, Jeffrey E Pessin, Simone Sidoli

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Article in Methods in molecular biology (Clifton, N.J.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Jennifer Aguilan *Department of Pathology, Albert Einstein College of Medicine, Bronx, NY, USA.
Maxwell Horton *Department of Biochemistry, Albert Einstein College of Medicine, Bronx, NY, USA.
Jeffrey E PessinDepartment of Molecular Pharmacology, Albert Einstein College of Medicine, Bronx, NY, USA.
Simone SidoliDepartment of Biochemistry, Albert Einstein College of Medicine, Bronx, NY, USA. simone.sidoli@einsteinmed.edu.

Funding

Orbitrap Exploris 480 Basic SystemS10OD030286 · OD · ALBERT EINSTEIN COLLEGE OF MEDICINE · PI SIDOLI, SIMONE · 2021 to 2021
$600k
NIH HHS S10 OD030286
6 · The paper itself

Abstract

Amyloidosis comprises a heterogeneous group of disorders marked by the extracellular deposition of insoluble protein fibrils, known as amyloids, which can disrupt normal tissue architecture and lead to organ dysfunction. Accurate identification and subtyping of the amyloidogenic protein are critical for clinical management as treatment strategies vary significantly depending on the underlying protein species. While conventional diagnostic tools such as Congo red staining and immunohistochemistry are commonly used, they suffer from limited specificity and antibody availability, often resulting in misclassification. Mass spectrometry (MS)-based proteomics has become the gold standard for amyloid subtyping, offering unmatched sensitivity and proteome-wide coverage.Here, we describe a spatial proteomics protocol that integrates laser capture microdissection (LMD) with advanced LC-MS/MS acquisition methods, including data-dependent acquisition (DDA), data-independent acquisition (DIA), and High-Field Asymmetric Waveform Ion Mobility Spectrometry (FAIMS). With the integration of these methods, we present the analysis of formalin-fixed paraffin-embedded (FFPE) tissue sections. This comprehensive workflow enables precise excision of amyloid-rich regions and enhances detection of amyloid proteins and co-deposited biomarkers from minimal tissue input. The combination of FAIMS with DIA and DDA not only improves the depth of proteomic coverage but also increases reproducibility and sensitivity, making it particularly suitable for low-abundance samples. This protocol provides a robust and scalable platform for the accurate molecular subtyping of amyloidosis and has the potential to inform personalized therapeutic decisions in clinical pathology.

Indexed as

Amyloidogenic ProteinsLaser Capture MicrodissectionProteomicsAmyloidosisHumansLiquid Chromatography-Mass SpectrometryMass SpectrometryParaffin EmbeddingTandem Mass SpectrometryAmyloidogenic ProteinsAmyloidosisAmyloid protein subtypingDDADIAFAIMSLaser capture microdissectionMALDI-MSI

Identifiers

PMID41629715

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Registered trials

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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.