ReviewStem cells translational medicine2015
Concise Review: Human Dermis as an Autologous Source of Stem Cells for Tissue Engineering and Regenerative Medicine.
Review in Stem cells translational medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 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
18 citing papers in PubMed, 47 citations in OpenAlex.
- Spatiotemporal decoding of skin biology: development, aging, disease, and regeneration.Burns & trauma · 2026Article
- Applications of Tailored Mesoporous Silicate Nanomaterials in Regenerative Medicine and Theranostics.International journal of molecular sciences · 2025Review
- Congenital and Neonatal Skin Disorders: Histopathological Diagnosis and Syndromic Associations.Cureus · 2025Review
- Ideal Living Skin Equivalents, From Old Technologies and Models to Advanced Ones: The Prospects for an Integrated Approach.BioMed research international · 2024Review
- Review
- Stromal cell therapy in cats with feline chronic gingivostomatitis: current perspectives and future direction.Journal of feline medicine and surgery · 2023Review
- Cellular Heterogeneity Facilitates the Functional Differences Between Hair Follicle Dermal Sheath Cells and Dermal Papilla Cells: A New Classification System for Mesenchymal Cells within the Hair Follicle Niche.Stem cell reviews and reports · 2022Review
- Recreation of a hair follicle regenerative microenvironment: Successes and pitfalls.Bioengineering & translational medicine · 2022Review
- A Beginner's Introduction to Skin Stem Cells and Wound Healing.International journal of molecular sciences · 2021Review
- From the perspective of embryonic tendon development: various cells applied to tendon tissue engineering.Annals of translational medicine · 2020Review
- Article
- Translation regulation in skin cancer from a tRNA point of view.Epigenomics · 2019Review
- Isolating human dermal fibroblasts using serial explant culture.Stem cell investigation · 2019Article
- Cryptomphalus aspersa Mollusc Egg Extract Promotes Regenerative Effects in Human Dermal Papilla Stem Cells.International journal of molecular sciences · 2017Article
- A Regenerative Approach with Dermal Micrografts in the Treatment of Chronic Ulcers.Stem cell reviews and reports · 2017Article
- Insight into skin cell-based osteogenesis: a review.F1000Research · 2017Review
- The role of adipose stem cells in inflammatory bowel disease: From biology to novel therapeutic strategies.Cancer biology & therapy · 2016Review
- Articular cartilage tissue engineering: the role of signaling molecules.Cellular and molecular life sciences : CMLS · 2016Review
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 at 1 institution in 1 country.
Funding
Abstract
unlabelledThe exciting potential for regenerating organs from autologous stem cells is on the near horizon, and adult dermis stem cells (DSCs) are particularly appealing because of the ease and relative minimal invasiveness of skin collection. A substantial number of reports have described DSCs and their potential for regenerating tissues from mesenchymal, ectodermal, and endodermal lineages; however, the exact niches of these stem cells in various skin types and their antigenic surface makeup are not yet clearly defined. The multilineage potential of DSCs appears to be similar, despite great variability in isolation and in vitro propagation methods. Despite this great potential, only limited amounts of tissues and clinical applications for organ regeneration have been developed from DSCs. This review summarizes the literature on DSCs regarding their niches and the specific markers they express. The concept of the niches and the differentiation capacity of cells residing in them along particular lineages is discussed. Furthermore, the advantages and disadvantages of widely used methods to demonstrate lineage differentiation are considered. In addition, safety considerations and the most recent advancements in the field of tissue engineering and regeneration using DSCs are discussed. This review concludes with thoughts on how to prospectively approach engineering of tissues and organ regeneration using DSCs. Our expectation is that implementation of the major points highlighted in this review will lead to major advancements in the fields of regenerative medicine and tissue engineering. SIGNIFICANCE: Autologous dermis-derived stem cells are generating great excitement and efforts in the field of regenerative medicine and tissue engineering. The substantial impact of this review lies in its critical coverage of the available literature and in providing insight regarding niches, characteristics, and isolation methods of stem cells derived from the human dermis. Furthermore, it provides analysis of the current state-of-the-art regenerative approaches using human-derived dermal stem cells, with consideration of current guidelines, to assist translation toward therapeutic use.
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.