ReviewNature protocols2023
In vivo fluorescent labeling and tracking of extracellular matrix.
Review in Nature protocols, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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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
11 citing papers in PubMed, 17 citations in OpenAlex.
- Nascent extracellular matrix: the missing piece in hydrogel design.Cell biomaterials · 2026Article
- Reprogramming tumor microenvironment of pancreatic cancer by CAF-targeted sonodynamic therapy combined with chemotherapy.Materials today. Bio · 2026Article
- Hematopoietic organoids: Opportunities and challenges in modeling human hematopoiesis and diseases in vitro.Stem cell reports · 2026Review
- A mesothelial differentiation gateway drives fibrosis.Nature communications · 2025Article
- Protein modifications by advanced glycation end products (AGEs) in human clear cell renal cell carcinoma.Journal of translational medicine · 2025Article
- New Perspectives on the Organization of Living Tissue and the Ongoing Connective Tissue/Fascia Nomenclature Debate, as Revealed by Intra-Tissue Endoscopy That Provides Real-Time Images During Surgical Procedures.Life (Basel, Switzerland) · 2025Article
- Hypothalamus Regulates Anabolic Metabolism of Articular Cartilage Superficial Chondrocytes through PGE2 Skeletal Interoception.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Unveiling cellular communications through rapid pan-membrane-protein labeling.Nature communications · 2025Article
- Epitope-imprinted biomaterials with tailor-made molecular targeting for biomedical applications.Bioactive materials · 2025Review
- Targeting pleuro-alveolar junctions reverses lung fibrosis in mice.Nature communications · 2025Article
- Role of the serosa in intestinal anastomotic healing: insights from in-depth histological analysis of human and murine anastomoses.BJS open · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Connective tissues are essential building blocks for organ development, repair and regeneration. However, we are at the early stages of understanding connective tissue dynamics. Here, we detail a method that enables in vivo fate mapping of organ extracellular matrix (ECM) by taking advantage of a crosslinking chemical reaction between amine groups and N-hydroxysuccinimide esters. This methodology enables robust labeling of ECM proteins, which complement previous affinity-based single-protein methods. This protocol is intended for entry-level scientists and the labeling step takes between 5 and 10 min. ECM 'tagging' with fluorophores using N-hydroxysuccinimide esters enables visualization of ECM spatial modifications and is particularly useful to study connective tissue dynamics in organ fibrosis, tumor stroma formation, wound healing and regeneration. This in vivo chemical fate mapping methodology is highly versatile, regardless of the tissue/organ system, and complements cellular fate-mapping techniques. Furthermore, as the basic chemistry of proteins is highly conserved between species, this method is also suitable for cross-species comparative studies of ECM dynamics.
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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.