来自用户 xh 的文献。
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1.
xh (2022-10-31 18:25):
#paper Applying CRISPR/Cas for genome engineering in plants: the best is yet to come https://doi.org/10.1016/j.pbi.2016.11.011文章介绍了crispr/cas9的两种方法同源重组(HR)和非同源末端连接(NHEJ)
Abstract:
Less than 5 years ago the CRISPR/Cas nuclease was first introduced into eukaryotes, shortly becoming the most efficient and widely used tool for genome engineering. For plants, efforts were centred … >>>
Less than 5 years ago the CRISPR/Cas nuclease was first introduced into eukaryotes, shortly becoming the most efficient and widely used tool for genome engineering. For plants, efforts were centred on obtaining heritable changes in most transformable crop species by inducing mutations into open reading frames of interest, via non-homologous end joining. Now it is important to take the next steps and further develop the technology to reach its full potential. For breeding, besides using DNA-free editing and avoiding off target effects, it will be desirable to apply the system for the mutation of regulatory elements and for more complex genome rearrangements. Targeting enzymatic activities, like transcriptional regulators or DNA modifying enzymes, will be important for plant biology in the future. <<<
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2.
xh (2022-09-30 06:12):
#paper DOI: 10.1038/nature08494 Nature 10/2009 Finding the missing heritability of complex diseases. 本文研究人类疾病中缺失遗传性的潜在来源,并提出了研究策略,包括并超越了目前的全基因组关联方法,以阐明复杂疾病的遗传学,并提高其潜力以实现有效的疾病预防或治疗。 但是对于神经精神疾病方面检测到的变异体的相对缺乏,如自闭症谱系障碍。
IF:50.500Q1 Nature, 2009-Oct-08. DOI: 10.1038/nature08494 PMID: 19812666
Abstract:
Genome-wide association studies have identified hundreds of genetic variants associated with complex human diseases and traits, and have provided valuable insights into their genetic architecture. Most variants identified so far … >>>
Genome-wide association studies have identified hundreds of genetic variants associated with complex human diseases and traits, and have provided valuable insights into their genetic architecture. Most variants identified so far confer relatively small increments in risk, and explain only a small proportion of familial clustering, leading many to question how the remaining, 'missing' heritability can be explained. Here we examine potential sources of missing heritability and propose research strategies, including and extending beyond current genome-wide association approaches, to illuminate the genetics of complex diseases and enhance its potential to enable effective disease prevention or treatment. <<<
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