ReviewFrontiers in cell and developmental biology2018
Genetic Models of Leukemia in Zebrafish.
Review in Frontiers in cell and developmental biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 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
17 citing papers in PubMed, 27 citations in OpenAlex.
- Dermal Dive: An Overview of Cutaneous Wounding Techniques in Zebrafish.The Journal of investigative dermatology · 2024Review
- Modelling acute myeloid leukemia (AML): What's new? A transition from the classical to the modern.Drug delivery and translational research · 2023Review
- Zebrafish: a convenient tool for myelopoiesis research.Cell regeneration (London, England) · 2023Review
- Article
- Zebrafish models of acute leukemias: Current models and future directions.Wiley interdisciplinary reviews. Developmental biology · 2021Review
- Review
- Label-free photoacoustic microscopy: a potential tool for the live imaging of blood disorders in zebrafish.Biomedical optics express · 2021Article
- A zebrafish model for HAX1-associated congenital neutropenia.Haematologica · 2021Article
- Zebrafish as a New Tool in Heart Preservation Research.Journal of cardiovascular development and disease · 2021Review
- Visualizing cancer extravasation: from mechanistic studies to drug development.Cancer metastasis reviews · 2021Review
- Zebrafish patient avatars in cancer biology and precision cancer therapy.Nature reviews. Cancer · 2020Review
- Knockdown of Matrix Metallopeptidase 9 Inhibits Metastasis of Oral Squamous Cell Carcinoma Cells in a Zebrafish Xenograft Model.BioMed research international · 2020Article
- Zebrafish Models of Cancer-New Insights on Modeling Human Cancer in a Non-Mammalian Vertebrate.Genes · 2019Review
- Tackling Acute Lymphoblastic Leukemia-One Fish at a Time.International journal of molecular sciences · 2019Review
- Review
- Leveraging the zebrafish to model organ transplantation.Current opinion in organ transplantation · 2019Review
- The side population enriches for leukemia-propagating cell activity and Wnt pathway expression in zebrafish acute lymphoblastic leukemia.Haematologica · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The zebrafish animal model is gaining increasing popularity as a tool for studying human disease. Over the past 15 years, many models of leukemia and other hematological malignancies have been developed in the zebrafish. These confer some significant advantages over similar models in other animals and systems, representing a powerful resource for investigation of the molecular basis of human leukemia. This review discusses the various zebrafish models of lymphoid and myeloid leukemia available, the major discoveries that have been made possible by them, and opportunities for future exploration.
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.