Intricacies of conditional genetics in vascular biology

计算生物学 生物 计算机科学 遗传学
作者
Irene García-González,Rui Benedito
出处
期刊:Current Opinion in Hematology [Lippincott Williams & Wilkins]
卷期号:28 (3): 189-197 被引量:1
标识
DOI:10.1097/moh.0000000000000646
摘要

Purpose of review Conditional or inducible recombinase-based genetics is still the gold standard to analyse gene function, given its high specificity, temporal control, limited toxicity and the many available genetic tools. However, it is based on methods that have inherent limitations and shortcomings. The purpose of this review is to summarize and contrast the different available methods used to perform conditional gene function analysis to better inform the community about their particularities and the need to use better methods. Recent findings As any other biomedical field, the vascular biology field has moved from using and analysing standard gene knockout (KO) mice, to use conditional genetics to delete a given gene only at a given time point, cell-type or organ of interest. This is the only way to accurately understand a gene function and avoid other confounding factors. Therefore, nowadays the majority of laboratories working with mice use CreERT2-tamoxifen-inducible genetics. However, this necessary transition from the relatively simple KO genetics to the more sophisticated conditional genetics brought a series of additional methodological issues that are often overlooked or unappreciated. Recent findings from several laboratories have shown how important is to know what to expect from and control for in conditional genetics. Without this a priori knowledge, the quality, robustness, time and costs of conditional genetic experiments can be significantly compromised. Summary We start this review by discussing the intricacies of the most simple and widely used methods to perform conditional genetics and then extend on the need of novel and more advanced methods to increase the ease, efficiency and reliability of conditional mutagenesis and gene function analysis.
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