ArticlePhysiological genomics2008
Characterization of the acute temporal changes in excisional murine cutaneous wound inflammation by screening of the wound-edge transcriptome.
Article in Physiological genomics, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 70 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.
Novel Regulators of Wound Angiogenesis and Inflammation
Early Healing of Oral Soft Tissues: a Clinical and Biomolecular Analysis Part I - Gene Expression and Cellular Behaviour 24-hours After Injury
Who cites it
70 citing papers in PubMed.
- Skin Transcriptome of Middle-Aged Women Supplemented With Natural Herbo-mineral Shilajit Shows Induction of Microvascular and Extracellular Matrix Mechanisms.Journal of the American College of Nutrition · 2019Trial
- The Human Skeletal Muscle Transcriptome in Response to Oral Shilajit Supplementation.Journal of medicinal food · 2016Trial
- Enhanced Wound Healing Through Air-Break Augmentation of Hyperbaric Oxygen Therapy Combined With Adipose-Derived Stromal Cell Transplantation in a Murine Model.International wound journal · 2026Article
- Gene expression dynamics in wound healing: Comparative analysis between the wound edge and center.PloS one · 2026Article
- Blood plasma proteomics for detecting potential biomarkers for tick resistance in a tropically adapted beef cattle breed.BMC genomics · 2025Article
- Brigatinib can inhibit proliferation and induce apoptosis of human immortalized keratinocyte cells.Frontiers in pharmacology · 2025Article
- MicroRNA-155 mediates multiple gene regulations pertinent to the role of human adipose-derived mesenchymal stem cells in skin regeneration.Frontiers in bioengineering and biotechnology · 2024Article
- Robust classification of wound healing stages in both mice and humans for acute and burn wounds based on transcriptomic data.BMC bioinformatics · 2023Article
- NONHSAT021545/miR-330-3p/EREG: A Cooperative Axis in Breast Cancer Prognosis and Treatment.Journal of clinical medicine · 2023Article
- Biological aspects in controlling angiogenesis: current progress.Cellular and molecular life sciences : CMLS · 2022Review
- The Role of EREG/EGFR Pathway in Tumor Progression.International journal of molecular sciences · 2021Review
- Review
- Urolithin A augments angiogenic pathways in skeletal muscle by bolstering NADScientific reports · 2020Article
- Time course analysis of large-scale gene expression in incised muscle using correspondence analysis.PloS one · 2020Article
- Knockout of MicroRNA-155 Ameliorates the Th17/Th9 Immune Response and Promotes Wound Healing.Current medical science · 2019Article
- Epiregulin reprograms cancer-associated fibroblasts and facilitates oral squamous cell carcinoma invasion via JAK2-STAT3 pathway.Journal of experimental & clinical cancer research : CR · 2019Article
- Topical Lyophilized Targeted Lipid Nanoparticles in the Restoration of Skin Barrier Function following Burn Wound.Molecular therapy : the journal of the American Society of Gene Therapy · 2018Article
- Reprogramming of pro-inflammatory human macrophages to an anti-inflammatory phenotype by bile acids.Scientific reports · 2018Article
- Parallels between vertebrate cardiac and cutaneous wound healing and regeneration.NPJ Regenerative medicine · 2018Review
- Resveratrol alleviates sepsis-induced acute lung injury by suppressing inflammation and apoptosis of alveolar macrophage cells.American journal of translational research · 2018Article
10 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
This work represents a maiden effort to systematically screen the transcriptome of the healing wound-edge tissue temporally using high-density GeneChips. Changes during the acute inflammatory phase of murine excisional wounds were characterized histologically. Sets of genes that significantly changed in expression during healing could be segregated into the following five sets: up-early (6-24 h; cytokine-cytokine receptor interaction pathway), up-intermediary (12-96 h; leukocyte-endothelial interaction pathway), up-late (48-96 h; cell-cycle pathway), down-early (6-12 h; purine metabolism) and down-intermediary (12-96 h; oxidative phosphorylation pathway). Results from microarray and real-time PCR analyses were consistent. Results listing all genes that were significantly changed at any specific time point were further mined for cell-type (neutrophils, macrophages, endothelial, fibroblasts, and pluripotent stem cells) specificity. Candidate genes were also clustered on the basis of their functional annotation, linking them to inflammation, angiogenesis, reactive oxygen species (ROS), or extracellular matrix (ECM) categories. Rapid induction of genes encoding NADPH oxidase subunits and downregulation of catalase in response to wounding is consistent with the fact that low levels of endogenous H2O2 is required for wound healing. Angiogenic genes, previously not connected to cutaneous wound healing, that were induced in the healing wound-edge included adiponectin, epiregulin, angiomotin, Nogo, and VEGF-B. This study provides a digested database that may serve as a valuable reference tool to develop novel hypotheses aiming to elucidate the biology of cutaneous wound healing comprehensively.
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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.