ReviewCells2024
Markers of Dermal Fibroblast Subpopulations for Viable Cell Isolation via Cell Sorting: A Comprehensive Review.
Review in Cells, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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
9 citing papers in PubMed.
- Characterization of carcinogenesis resistance in Anatolian blind mole-rat mesenchymal stem cells and assessment of transcriptomic signatures.Stem cells (Dayton, Ohio) · 2026Article
- Proteomic profiling of metabolizing enzymes and transporters in 2 layers of Caucasian human skin.Drug metabolism and disposition: the biological fate of chemicals · 2026Article
- Robust integration of single-cell datasets with imbalanced modality composition.Nature communications · 2026Article
- Dermal fibroblast mitochondrial profiles in painful diabetic neuropathy.Diabetologia · 2026Article
- ZNF469 promotes extracellular matrix production in normal and keloid dermal fibroblasts.Molecular medicine reports · 2025Article
- Silk fibroin hydrogel with recombinant silk fibroin/NT3 protein enhances wound healing by promoting type III collagen synthesis and hair follicle regeneration in skin injury.Materials today. Bio · 2025Article
- Unveiling tissue-specific transcriptional adaptations in iPSC-derived fibroblasts via co-culture systems.Stem cell research & therapy · 2025Article
- Cancer-associated fibroblasts as therapeutic targets for cancer: advances, challenges, and future prospects.Journal of biomedical science · 2025Review
- Epigenetic memory of radiotherapy in dermal fibroblasts impairs wound repair capacity in cancer survivors.Nature communications · 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
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Fibroblasts are among the most abundant cell types in the human body, playing crucial roles in numerous physiological processes, including the structural maintenance of the dermis, production of extracellular matrix components, and mediation of inflammatory responses. Despite their importance, fibroblasts remain one of the least characterized cell populations. The advent of single-cell analysis techniques, particularly single-cell RNA sequencing (scRNA-seq) and fluorescence-activated cell sorting (FACS), has enabled detailed investigations into fibroblast biology. In this study, we present an extensive analysis of fibroblast surface markers suitable for cell sorting and subsequent functional studies. We reviewed over three thousand research articles describing fibroblast populations and their markers, characterizing and comparing subtypes based on their surface markers, as well as their intra- and extracellular proteins. Our detailed analysis identified a variety of distinct fibroblast subpopulations, each with unique markers, characteristics dependent on their location, and the physiological or pathophysiological environment. These findings underscore the diversity of fibroblasts as a cellular population and could lead to the development of novel diagnostic and therapeutic tools.
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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.