ArticleJournal of proteomics2018
SWATH mass spectrometry as a tool for quantitative profiling of the matrisome.
Article in Journal of proteomics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.
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.
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.
Who cites it
43 citing papers in PubMed.
- Crocetin Halts Tumorigenesis in Metastatic Breast Cancer via Disrupting CYP2J2/EET Axis.ACS omega · 2026Article
- The extracellular matrix as a dynamic regulator of brain function and plasticity.Neurobiology of disease · 2026Review
- Crocetin Impairs the Cytochrome P450 Epoxygenase Pathway toward Potentiating the Therapeutic Efficacy of Paclitaxel in Metastatic Breast Cancer.ACS omega · 2025Article
- The Latest Advances in Omics Technology for Assessing Tissue Damage: Implications for the Study of Sudden Cardiac Death.International journal of molecular sciences · 2025Review
- Differential proteomic profiles between cognitive frail and robust older adults from the MELoR cohort.GeroScience · 2025Article
- High-Throughput Extracellular Matrix Proteomics of Human Lungs Enabled by Photocleavable Surfactant and diaPASEF.Journal of proteome research · 2024Article
- Clinical Implications and Molecular Features of Extracellular Matrix Networks in Soft Tissue Sarcomas.Clinical cancer research : an official journal of the American Association for Cancer Research · 2024Article
- Review
- Micropillar arrays, wide window acquisition and AI-based data analysis improve comprehensiveness in multiple proteomic applications.Nature communications · 2024Article
- Colostrum Features of Active and Recovered COVID-19 Patients Revealed Using Next-Generation Proteomics Technique, SWATH-MS.Children (Basel, Switzerland) · 2023Article
- Extracellular Matrix Proteomics: TheBiomolecules · 2023Review
- The Extracellular Matrix: Its Composition, Function, Remodeling, and Role in Tumorigenesis.Biomimetics (Basel, Switzerland) · 2023Review
- Ten Years of Extracellular Matrix Proteomics: Accomplishments, Challenges, and Future Perspectives.Molecular & cellular proteomics : MCP · 2023Review
- Data-independent acquisition and quantification of extracellular matrix from human lung in chronic inflammation-associated carcinomas.Proteomics · 2023Article
- Advancements in Oncoproteomics Technologies: Treading toward Translation into Clinical Practice.Proteomes · 2023Review
- Peptidyl arginine deiminase inhibition alleviates angiotensin II-induced fibrosis.American journal of translational research · 2023Article
- Anemonefishes: A model system for evolutionary genomics.F1000Research · 2023Review
- Accurate Prediction of y Ions in Beam-Type Collision-Induced Dissociation Using Deep Learning.Analytical chemistry · 2022Article
- Data-Independent Acquisition Enables Robust Quantification of 400 Proteins in Non-Depleted Canine Plasma.Proteomes · 2022Article
- A proteomics informed by transcriptomics insight into the proteome of Ornithodoros erraticus adult tick saliva.Parasites & vectors · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Proteomic analysis of extracellular matrix (ECM) and ECM-associated proteins, collectively known as the matrisome, is a challenging task due to the inherent complexity and insolubility of these proteins. Here we present sequential window acquisition of all theoretical fragment ion spectra mass spectrometry (SWATH MS) as a tool for the quantitative analysis of matrisomal proteins in both non-enriched and ECM enriched tissue without the need for prior fractionation. Utilising a spectral library containing 201 matrisomal proteins, we compared the performance and reproducibility of SWATH MS over conventional data-dependent analysis mass spectrometry (DDA MS) in unfractionated murine lung and liver. SWATH MS conferred a 15-20% increase in reproducible peptide identification across replicate experiments in both tissue types and identified 54% more matrisomal proteins in the liver versus DDA MS. We further use SWATH MS to evaluate the quantitative changes in matrisome content that accompanies ECM enrichment. Our data shows that ECM enrichment led to a systematic increase in core matrisomal proteins but resulted in significant losses in matrisome-associated proteins including the cathepsins and proteins of the S100 family. Our proof-of-principle study demonstrates the utility of SWATH MS as a versatile tool for in-depth characterisation of the matrisome in unfractionated and non-enriched tissues. SIGNIFICANCE: The matrisome is a complex network of extracellular matrix (ECM) and ECM-associated proteins that provides scaffolding function to tissues and plays important roles in the regulation of fundamental cellular processes. However, due to its inherent complexity and insolubility, proteomic studies of the matrisome typically require the application of enrichment workflows prior to MS analysis. Such enrichment strategies often lead to losses in soluble matrisome-associated components. In this study, we present sequential window acquisition of all theoretical fragment ion spectra mass spectrometry (SWATH MS) as a tool for the quantitative analysis of matrisomal proteins. We show that SWATH MS provides a more reproducible coverage of the matrisome compared to data-dependent analysis (DDA) MS. We also demonstrate that SWATH MS is capable of accurate quantification of matrisomal proteins without prior ECM enrichment and fractionation, which may simplify sample handling workflows and avoid losses in matrisome-associated proteins commonly linked to ECM enrichment.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.