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Geoffrey C. Gurtner

Researcher at Stanford University

Publications -  478
Citations -  32002

Geoffrey C. Gurtner is an academic researcher from Stanford University. The author has contributed to research in topics: Wound healing & Medicine. The author has an hindex of 76, co-authored 423 publications receiving 25985 citations. Previous affiliations of Geoffrey C. Gurtner include Duke University & York University.

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Microfluidic single-cell transcriptional analysis rationally identifies novel surface marker profiles to enhance cell-based therapies.

TL;DR: A high-resolution method of identifying phenotypically distinct progenitor cell subpopulations via single-cell transcriptional analysis and advanced bioinformatics is developed, which presents a logical framework for the development of targeted cell therapies that can be customized to any clinical application.
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Stem cells and distraction osteogenesis: endothelial progenitor cells home to the ischemic generate in activation and consolidation.

TL;DR: The data suggest that the distraction zone becomes relatively isChemic during activation and that endothelial progenitor cells home to the ischemic generate site during the activation phase and remain during the consolidation phase.
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Single‐Cell Transcriptomics of Human Mesenchymal Stem Cells Reveal Age‐Related Cellular Subpopulation Depletion and Impaired Regenerative Function

TL;DR: It is found that BM‐MSCs from young donors healed wounds in a xenograft model faster compared with their aged counterparts (p < .001), and single‐cell transcriptomic analysis was used to provide potential molecular insights into these observations.
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Cas9-AAV6-engineered human mesenchymal stromal cells improved cutaneous wound healing in diabetic mice.

TL;DR: An optimized Cas9-AAV6-based genome editing tool platform for site-specific mutagenesis and integration of up to more than 3 kilobases of exogenous DNA in the genome of hMSCs derived from the bone marrow, adipose tissue, and umbilical cord blood without altering their ex vivo characteristics is described.
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Evaluating the Effect of Cell Culture on Gene Expression in Primary Tissue Samples Using Microfluidic-Based Single Cell Transcriptional Analysis.

TL;DR: An established population of human adipose-derived stem cells is examined using a novel, microfluidic-based method for high-throughput transcriptional interrogation, coupled with advanced bioinformatic analysis, to evaluate the dynamics of single cell gene expression among primary, passage 0, and passage 1 stem cells.