ArticleNature communications2016
Microfluidic single-cell transcriptional analysis rationally identifies novel surface marker profiles to enhance cell-based therapies.
Article in Nature communications, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 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
36 citing papers in PubMed, 62 citations in OpenAlex.
- Adipogenic characterization of immortalized CD55Adipocyte · 2025Article
- Therapeatic evaluation and single cell analysis of adipose stromal vascular fraction isolation from a commercial cell separation system.Stem cell research & therapy · 2025Article
- Mechanical Processing of Lipoaspirate With a Fluidic Device Platform Promotes Wound Healing Transcriptional Programs and Angiogenesis In Vitro.Aesthetic surgery journal · 2025Article
- Identification and isolation of human testicular peritubular myoid cells and Leydig cells by a combination of ITGA9 and NGFR.Reproductive biology and endocrinology : RB&E · 2025Article
- Identifying differentiation markers between dermal fibroblasts and adipose-derived mesenchymal stromal cells (AD-MSCs) in human visceral and subcutaneous tissues using single-cell transcriptomics.Stem cell research & therapy · 2025Article
- Application of metagenomic next-generation sequencing (mNGS) to describe the microbial characteristics of diabetic foot ulcers at a tertiary medical center in South China.BMC endocrine disorders · 2025Article
- Characterizing Fibroblast Heterogeneity in Diabetic Wounds Through Single-Cell RNA-Sequencing.Biomedicines · 2024Review
- Dipeptidyl peptidase-4 marks distinct subtypes of human adipose stromal/stem cells with different hepatocyte differentiation and immunoregulatory properties.Stem cell research & therapy · 2024Article
- Activation of TLR9 signaling suppresses the immunomodulating functions of CD55Frontiers in immunology · 2024Article
- High throughput screening of mesenchymal stem cell lines using deep learning.Scientific reports · 2022Article
- Pullulan-Collagen hydrogel wound dressing promotes dermal remodelling and wound healing compared to commercially available collagen dressings.Wound repair and regeneration : official publication of the Wound Healing Society [and] the European Tissue Repair Society · 2022Article
- Cellular Therapeutics for Chronic Wound Healing: Future for Regenerative Medicine.Current drug targets · 2022Review
- Recent strategies for enhancing the therapeutic efficacy of stem cells in wound healing.Stem cell research & therapy · 2021Review
- Dynamic regulation of mitochondrial-endoplasmic reticulum crosstalk during stem cell homeostasis and aging.Cell death & disease · 2021Review
- [Research advances on skin tissue regeneration in wound repair].Zhonghua shao shang za zhi = Zhonghua shaoshang zazhi = Chinese journal of burns · 2021Review
- Adipose Tissue: Understanding the Heterogeneity of Stem Cells for Regenerative Medicine.Biomolecules · 2021Review
- Article
- Chemically Defined Xeno- and Serum-Free Cell Culture Medium to Grow Human Adipose Stem Cells.Cells · 2021Article
- Cellular Heterogeneity in Adipose Tissues.Annual review of physiology · 2021Review
- Single-Cell Transcriptome Analysis of Human Adipose-Derived Stromal Cells Identifies a Contractile Cell Subpopulation.Stem cells international · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
15 authors at 2 institutions in 4 countries.
Funding
Abstract
Current progenitor cell therapies have only modest efficacy, which has limited their clinical adoption. This may be the result of a cellular heterogeneity that decreases the number of functional progenitors delivered to diseased tissue, and prevents correction of underlying pathologic cell population disruptions. Here, we develop a high-resolution method of identifying phenotypically distinct progenitor cell subpopulations via single-cell transcriptional analysis and advanced bioinformatics. When combined with high-throughput cell surface marker screening, this approach facilitates the rational selection of surface markers for prospective isolation of cell subpopulations with desired transcriptional profiles. We establish the usefulness of this platform in costly and highly morbid diabetic wounds by identifying a subpopulation of progenitor cells that is dysfunctional in the diabetic state, and normalizes diabetic wound healing rates following allogeneic application. We believe this work presents a logical framework for the development of targeted cell therapies that can be customized to any clinical application.
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.