Evidence map›Paper›PMID 39677022›Full record

ArticleBio-protocol2024

Compartment-Resolved Proteomics with Deep Extracellular Matrix Coverage.

Maxwell C McCabe, Anthony J Saviola, Kirk C Hansen

Abstract read
In one paragraph

Article in Bio-protocol, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

3 authors.

Maxwell C McCabeDepartment of Biochemistry and Molecular Genetics, School of Medicine, University of Colorado, Aurora, CO, USA.
Anthony J SaviolaDepartment of Biochemistry and Molecular Genetics, School of Medicine, University of Colorado, Aurora, CO, USA.
Kirk C HansenDepartment of Biochemistry and Molecular Genetics, School of Medicine, University of Colorado, Aurora, CO, USA.

Funding

University of Colorado Cancer Center Support Grant - Lung Cancer Patient-Derived Xenografts with Autologous Human Immune SystemsP30CA046934 · NCI · UNIVERSITY OF COLORADO DENVER · PI James V Degregori · 1988 to 2026
$117.0M
Role of Complement-Driven Pulmonary Vascular Inflammation in PHP01HL152961 · NHLBI · UNIVERSITY OF COLORADO DENVER · PI DELANEY, CASSIDY A · 2020 to 2024
$14.1M
Resuscitation Strategies for Achieving Thrombo-inflammatory HomeostasisRM1GM131968 · NIGMS · UNIVERSITY OF COLORADO DENVER · PI COHEN, MITCHELL, D'ALESSANDRO, ANGELO · 2019 to 2023
$11.3M
Extracellular matrix composition and crosslinking patterns determine resident cell function in lung fibrosisR01HL146519 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI EICKELBERG, OLIVER · 2020 to 2023
$2.5M
Advanced Methods to Evaluate Extracellular Matrix and Crosslinking in the Tumor MR33CA183685 · NCI · UNIVERSITY OF COLORADO DENVER · PI HANSEN, KIRK C, WEAVER, VALERIE MARIE · 2014 to 2016
$1.1M
NCI NIH HHS P30 CA046934NCI NIH HHS R33 CA183685NHLBI NIH HHS P01 HL152961NHLBI NIH HHS R01 HL146519NIGMS NIH HHS RM1 GM131968
6 · The paper itself

Abstract

The extracellular matrix (ECM) is a complex network of proteins that provides structural support and biochemical cues to cells within tissues. Characterizing ECM composition is critical for understanding this tissue component's roles in development, homeostasis, and disease processes. This protocol describes an integrated pipeline for profiling both cellular and ECM proteins across varied tissue types using mass spectrometry-based proteomics. The workflow covers stepwise extraction of cellular and extracellular proteins, enzymatic digestion into peptides, peptide cleanup, mass spectrometry analysis, and bioinformatic data processing. The key advantages include unbiased coverage of cellular, ECM-associated, and core-ECM proteins, including the fraction of ECM that cannot be solubilized using strong chaotropic agents such as urea or guanidine hydrochloride. Additionally, the method has been optimized for reproducible ECM enrichment and quantification across diverse tissue samples. This protocol enables systematic mapping of the ECM at a proteome-wide scale. Key features • Improved profiling of core extracellular matrix and matrisome-associated proteins through multi-step decellularization and chemical extraction of insoluble ECM • Extraction buffers optimized for effectiveness across a broad range of tissue types and compatibility with varied MS platforms • Measurement of protein solubility via resistance to detergent and chaotrope extraction • Integrated LC-MS/MS analysis and data processing pipeline for ECM-focused analysis.

Indexed as

collagenextracellular matrixmass spectrometrymatrisomeprotein extractionproteomics

Identifiers

PMID39677022
PMCPMC11635444

What OpenQuestion holds

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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.