ReviewFrontiers in immunology2015
Translating Treg Therapy in Humanized Mice.
Review in Frontiers in immunology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 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
15 citing papers in PubMed.
- Progress in building clinically relevant patient-derived tumor xenograft models for cancer research.Animal models and experimental medicine · 2023Review
- Preclinical assessment of antigen-specific chimeric antigen receptor regulatory T cells for use in solid organ transplantation.Gene therapy · 2023Article
- Humanized mouse models for immuno-oncology research.Nature reviews. Clinical oncology · 2023Review
- Sodium perturbs mitochondrial respiration and induces dysfunctional Tregs.Cell metabolism · 2023Article
- Towards gene therapy for IPEX syndrome.European journal of immunology · 2022Review
- Advanced Immune Cell Profiling by Multiparameter Flow Cytometry in Humanized Patient-Derived Tumor Mice.Cancers · 2022Article
- Improving the Efficacy of Regulatory T Cell Therapy.Clinical reviews in allergy & immunology · 2022Review
- Nanoparticles for Inducing Antigen-Specific T Cell Tolerance in Autoimmune Diseases.Frontiers in immunology · 2022Review
- Human CD36Immunology · 2021Article
- Article
- Cell-Penetrating Anti-Protein Kinase C Theta Antibodies Act Intracellularly to Generate Stable, Highly Suppressive Regulatory T Cells.Molecular therapy : the journal of the American Society of Gene Therapy · 2020Article
- Human-engineered Treg-like cells suppress FOXP3-deficient T cells but preserve adaptive immune responsesClinical & translational immunology · 2020Article
- Humanized Mouse Models of Rheumatoid Arthritis for Studies on Immunopathogenesis and Preclinical Testing of Cell-Based Therapies.Frontiers in immunology · 2019Review
- Gene Therapy with an Adeno-Associated Viral Vector Expressing Human Interleukin-2 Alters Immune System Homeostasis in Humanized Mice.Human gene therapy · 2018Article
- T-Regulatory Cells and Vaccination "Pay Attention and Do Not Neglect Them": Lessons from HIV and Cancer Vaccine Trials.Vaccines · 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
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Regulatory T cells (Treg) control immune cell function as well as non-immunological processes. Their far-reaching regulatory activities suggest their functional manipulation as a means to sustainably and causally intervene with the course of diseases. Preclinical tools and strategies are however needed to further test and develop interventional strategies outside the human body. "Humanized" mouse models consisting of mice engrafted with human immune cells and tissues provide new tools to analyze human Treg ontogeny, immunobiology, and therapy. Here, we summarize the current state of humanized mouse models as a means to study human Treg function at the molecular level and to design strategies to harness these cells for therapeutic purposes.
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.