ArticleBiomaterials research2016
Multiple genetically engineered humanized microenvironments in a single mouse.
Article in Biomaterials research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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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.
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Who cites it
11 citing papers in PubMed, 12 citations in OpenAlex.
- Stepwise Evolution of Immunodeficient Mouse Models: Focus on NCG Strains and Their Applications in Humanized Immune System Research.Vaccines · 2026Review
- Pediatric leukemia: origins, pathogenesis, the role of microenvironment and immunological modulation.Frontiers in immunology · 2026Review
- Microarrayed human bone marrow organoids for modeling blood stem cell dynamics.APL bioengineering · 2022Article
- Advancing Treatment of Bone Metastases through Novel Translational Approaches Targeting the Bone Microenvironment.Cancers · 2022Review
- Review
- Fabrication of Bioactive Inverted Colloidal Crystal Scaffolds Using Expanded Polystyrene Beads.Tissue engineering. Part C, Methods · 2020Article
- Scaffold-Assisted Ectopic Transplantation of Internal Organs and Patient-Derived Tumors.ACS biomaterials science & engineering · 2019Article
- Implantable pre-metastatic niches for the study of the microenvironmental regulation of disseminated human tumour cells.Nature biomedical engineering · 2018Article
- Cancer Metastases to Bone: Concepts, Mechanisms, and Interactions with Bone Osteoblasts.Cancers · 2018Review
- Modeling the human bone marrow niche in mice: From host bone marrow engraftment to bioengineering approaches.The Journal of experimental medicine · 2018Review
- Bioengineering of Humanized Bone Marrow Microenvironments in Mouse and Their Visualization by Live Imaging.Journal of visualized experiments : JoVE · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundImmunodeficient mouse models that accept human cell and tissue grafts can contribute greater knowledge to human stem cell research. In this technical report, we used biomaterial implants seeded with genetically engineered stromal cells to create several unique microenvironments in a single mouse. The scope of study was focused on human CD34 hematopoietic stem/progenitor cell (HSPC) engraftment and differentiation within the engineered microenvironment.
resultsA mouse model system was created using subdermal implant sites that overexpressed a specific human cytokines (Vascular Endothelial Growth Factor A (hVEGFa), Stromal Derived Factor 1 Alpha (hSDF1a), or Tumor Necrosis Factor Alpha (hTNFa)) by stromal cells in a three-dimensional biomaterial matrix. The systemic exposure of locally overexpressed cytokines was minimized by controlling the growth of stromal cells, which led to autonomous local, concentrated sites in a single mouse for study. This biomaterial implant approach allowed for the local analysis of each cytokine on hematopoietic stem cell recruitment, engraftment and differentiation in four different tissue microenvironments in the same host. The engineered factors were validated to have bioactive effects on human CD34+ hematopoietic progenitor cell differentiation.
conclusionsThis model system can serve as a new platform for the study of multiple human proteins and their local effects on hematopoietic cell biology for in vivo validation studies.
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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.