ArticleMetabolites2021
Proteomic Analysis of Tears and Conjunctival Cells Collected with Schirmer Strips Using timsTOF Pro: Preanalytical Considerations.
Article in Metabolites, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed, 27 citations in OpenAlex.
- Review
- A comprehensive review of tear fluid proteome alterations in dry eye disease: Insights into pathophysiology and biomarker potential.The ocular surface · 2026Review
- The Proteomic Analysis of Platelet Extracellular Vesicles in Diabetic Patients by nanoLC-MALDI-MS/MS and nanoLC-TIMS-MS/MS.Molecules (Basel, Switzerland) · 2025Article
- Profiling tear film enzymes reveals major metabolic pathways involved in the homeostasis of the ocular surface.Scientific reports · 2023Article
- Method for Collection of Tear Fluid for Evaluation Its Antioxidant Properties.Bulletin of experimental biology and medicine · 2023Article
- Phosphoproteomics Reveal New Candidates in Abnormal Spermatogenesis of Pseudomales inInternational journal of molecular sciences · 2023Article
- Mass spectrometry-based phosphoproteomics in clinical applications.Trends in analytical chemistry : TRAC · 2023Article
- Evaluation of pre-processing methods for tear fluid proteomics using proximity extension assays.Scientific reports · 2023Article
- Pre-analytical sample handling effects on tear fluid protein levels.Scientific reports · 2023Article
- Multiomic Approaches for Cancer Biomarker Discovery in Liquid Biopsies: Advances and Challenges.Biomarker insights · 2023Review
- The Potential Role of Regulated Cell Death in Dry Eye Diseases and Ocular Surface Dysfunction.International journal of molecular sciences · 2023Review
- Proteomic analysis implicates that postovulatory aging leads to aberrant gene expression, biosynthesis, RNA metabolism and cell cycle in mouse oocytes.Journal of ovarian research · 2022Article
- An Extensive Study of Phenol Red Thread as a Novel Non-Invasive Tear Sampling Technique for Proteomics Studies: Comparison with Two Commonly Used Methods.International journal of molecular sciences · 2022Article
- Human OTULIN haploinsufficiency impairs cell-intrinsic immunity to staphylococcal α-toxin.Science (New York, N.Y.) · 2022Article
- A practical starting guide to tear fluid biobanking.Advances in ophthalmology practice and researchReview
Corrections and comments
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study aimed to investigate the human proteome profile of samples collected from whole (W) Schirmer strips (ScS) and their two parts-the bulb (B) and the rest of the strip (R)-with a comprehensive proteomic approach using a trapped ion mobility mass spectrometer, the timsTOF Pro. Eight ScS were collected from two healthy subjects at four different visits to be separated into three batches, i.e., 4W, 4B, and 4R. In total, 1582 proteins were identified in the W, B, and R batches. Among all identified proteins, binding proteins (43.4%) and those with catalytic activity (42.2%) constituted more than 80% of the molecular functions. The most represented biological processes were cellular processes (31.2%), metabolic processes (20.8%), and biological regulation (13.1%). Enzymes were the most represented protein class (41%), consisting mainly of hydrolases (47.5%), oxidoreductases (22.1%), and transferases (16.7%). The bulb (B), which is in contact with the conjunctiva, might collect both tear and cell proteins and therefore promote the identification of more proteins. Processing B and R separately before mass spectrometry (MS) analysis, combined with the high data acquisition speed and the addition of ion-mobility-based separation in the timsTOF Pro, can bring a new dimension to biomarker investigations of a limited sample such as tear fluid.
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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.