ReviewJournal of genetics and genomics = Yi chuan xue bao2012
Pluripotent stem cells models for Huntington's disease: prospects and challenges.
Review in Journal of genetics and genomics = Yi chuan xue bao, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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
10 citing papers in PubMed.
- A functional hiPSC-cortical neuron differentiation and maturation model and its application to neurological disorders.Stem cell reports · 2022Article
- Mitochondrial Abnormalities and Synaptic Damage in Huntington's Disease: a Focus on Defective Mitophagy and Mitochondria-Targeted Therapeutics.Molecular neurobiology · 2021Review
- Recent Overview of the Use of iPSCs Huntington's Disease Modeling and Therapy.International journal of molecular sciences · 2020Review
- Generation of genetically engineered non-human primate models of brain function and neurological disorders.American journal of primatology · 2019Review
- Advances in Stem Cell Research- A Ray of Hope in Better Diagnosis and Prognosis in Neurodegenerative Diseases.Frontiers in molecular biosciences · 2016Review
- Genetic engineered molecular imaging probes for applications in cell therapy: emphasis on MRI approach.American journal of nuclear medicine and molecular imaging · 2016Review
- Pathogenic cellular phenotypes are germline transmissible in a transgenic primate model of Huntington's disease.Stem cells and development · 2013Article
- Progress and prospects for genetic modification of nonhuman primate models in biomedical research.ILAR journal · 2013Review
- Article
- Investigating the Therapeutics Effects of Oral Cavity Derived Stem Cells on Neurodegenerative Diseases: A Systematic Review.Basic and clinical neuroscienceReview
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.
Funding
Abstract
Pluripotent cellular models have shown great promise in the study of a number of neurological disorders. Several advantages of using a stem cell model include the potential for cells to derive disease relevant neuronal cell types, providing a system for researchers to monitor disease progression during neurogenesis, along with serving as a platform for drug discovery. A number of stem cell derived models have been employed to establish in vitro research models of Huntington's disease that can be used to investigate cellular pathology and screen for drug and cell-based therapies. Although some progress has been made, there are a number of challenges and limitations that must be overcome before the true potential of this research strategy is achieved. In this article we review current stem cell models that have been reported, as well as discuss the issues that impair these studies. We also highlight the prospective application of Huntington's disease stem cell models in the development of novel therapeutic strategies and advancement of personalized medicine.
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.