ReviewJournal of the American Society of Nephrology : JASN2016
Gene Editing: Powerful New Tools for Nephrology Research and Therapy.
Review in Journal of the American Society of Nephrology : JASN, 2016. 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, 25 citations in OpenAlex.
- Advancing 3Rs: The Mouse Estrus Detector (MED) as a Low-Stress, Painless, and Efficient Tool for Estrus Determination in Mice.International journal of molecular sciences · 2024Article
- Navigating the Crossroads: Understanding the Link Between Chronic Kidney Disease and Cardiovascular Health.Cureus · 2023Review
- T CellAntioxidants & redox signaling · 2023Article
- CRISPR-Cas9-Mediated Correction ofInternational journal of molecular sciences · 2023Article
- Review
- Advances in Clinical Research in Chronic Kidney Disease.Journal of translational internal medicine · 2021Article
- Endoplasmic reticulum stress and proteasome pathway involvement in human podocyte injury with a truncated COL4A3 mutation.Chinese medical journal · 2019Article
- Integrate CRISPR/Cas9 for protein expression of HLA-B*38:68Q via precise gene editing.Scientific reports · 2019Article
- Single-cell genomics and gene editing: implications for nephrology.Nature reviews. Nephrology · 2019Review
- CRISPR Gene Editing in the Kidney.American journal of kidney diseases : the official journal of the National Kidney Foundation · 2018Review
- Article
- Article
- Intravital imaging of the kidney.Methods (San Diego, Calif.) · 2017Article
- Immunologic Effects of the Renin-Angiotensin System.Journal of the American Society of Nephrology : JASN · 2017Review
- Functional and therapeutic importance of purinergic signaling in polycystic kidney disease.American journal of physiology. Renal physiology · 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
3 authors at 1 institution in 1 country.
Funding
Abstract
Biologic research is experiencing a transformation brought about by the ability of programmable nucleases to manipulate the genome. In the recently developed CRISPR/Cas system, short RNA sequences guide the endonuclease Cas9 to any location in the genome, causing a DNA double-strand break (DSB). Repair of DSBs allows the introduction of targeted genetic manipulations with high precision. Cas9-mediated gene editing is simple, scalable, and rapid, and it can be applied to virtually any organism. Here, we summarize the development of modern gene editing techniques and the biology of DSB repair on which these techniques are based. We discuss technical points in applying this technology and review its use in model organisms. Finally, we describe prospects for the use of gene editing to treat human genetic diseases. This technology offers tremendous promise for equipping the nephrology research community to better model and ultimately, treat kidney diseases.
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.