ReviewThe Journal of investigative dermatology2012
The black box illuminated: signals and signaling.
Review in The Journal of investigative dermatology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 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
15 citing papers in PubMed.
- Genetic ablation of epidermal EGFR reveals the dynamic origin of adverse effects of anti-EGFR therapy.Science translational medicine · 2013Trial
- History-dependent switch-like differentiation of keratinocytes in response to skin barrier damage.PLoS computational biology · 2025Article
- CaJournal of cellular physiology · 2021Article
- TRPV3 enhances skin keratinocyte proliferation through EGFR-dependent signaling pathways.Cell biology and toxicology · 2021Article
- Protein Kinase C Isozymes Associated With Relapse Free Survival in Non-Small Cell Lung Cancer Patients.Frontiers in oncology · 2020Article
- Fucoidan fromMarine drugs · 2019Article
- Diacylglycerol kinase synthesized by commensal Lactobacillus reuteri diminishes protein kinase C phosphorylation and histamine-mediated signaling in the mammalian intestinal epithelium.Mucosal immunology · 2018Article
- Bisphenol A (BPA) the mighty and the mutagenic.Toxicology reports · 2018Review
- Asymmetry at cell-cell interfaces direct cell sorting, boundary formation, and tissue morphogenesis.Experimental cell research · 2017Review
- Article
- Activation of the δ-opioid receptor promotes cutaneous wound healing by affecting keratinocyte intercellular adhesion and migration.British journal of pharmacology · 2015Article
- A Method for the Immortalization of Newborn Mouse Skin Keratinocytes.Frontiers in oncology · 2015Article
- FIH-1 disrupts an LRRK1/EGFR complex to positively regulate keratinocyte migration.The American journal of pathology · 2014Article
- Calcium, Orai1, and epidermal proliferation.The Journal of investigative dermatology · 2014Article
- Elevated epidermal thymic stromal lymphopoietin levels establish an antitumor environment in the skin.Cancer cell · 2012Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Unraveling the signaling pathways that transmit information from the cell surface to the nucleus has been a major accomplishment of modern cell and molecular biology. The benefit to humans is seen in the multitude of new therapeutics based on the illumination of these pathways. Although considerable insight has been gained in understanding homeostatic and pathological signaling in the epidermis and other skin compartments, the translation into therapy has been lacking. This review will outline advances made in understanding fundamental signaling in several of the most prominent pathways that control cutaneous development, cell-fate decisions, and keratinocyte growth and differentiation with the anticipation that this insight will contribute to new treatments for troubling skin diseases.
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.