Shevade Kaivalya, Peddada Sailaja, Mader Karl, Przybyla Laralynne
Laboratory for Genomics Research, San Francisco, CA, United States.
Department of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, CA, United States.
Front Cell Dev Biol. 2023 Jul 24;11:1236553. doi: 10.3389/fcell.2023.1236553. eCollection 2023.
Protocols to differentiate human pluripotent stem cells have advanced in terms of cell type specificity and tissue-level complexity over the past 2 decades, which has facilitated human disease modeling in the most relevant cell types. The ability to generate induced PSCs (iPSCs) from patients further enables the study of disease mutations in an appropriate cellular context to reveal the mechanisms that underlie disease etiology and progression. As iPSC-derived disease models have improved in robustness and scale, they have also been adopted more widely for use in drug screens to discover new therapies and therapeutic targets. Advancement in genome editing technologies, in particular the discovery of CRISPR-Cas9, has further allowed for rapid development of iPSCs containing disease-causing mutations. CRISPR-Cas9 technologies have now evolved beyond creating single gene edits, aided by the fusion of inhibitory (CRISPRi) or activation (CRISPRa) domains to a catalytically dead Cas9 protein, enabling inhibition or activation of endogenous gene loci. These tools have been used in CRISPR knockout, CRISPRi, or CRISPRa screens to identify genetic modifiers that synergize or antagonize with disease mutations in a systematic and unbiased manner, resulting in identification of disease mechanisms and discovery of new therapeutic targets to accelerate drug discovery research. However, many technical challenges remain when applying large-scale functional genomics approaches to differentiated PSC populations. Here we review current technologies in the field of iPSC disease modeling and CRISPR-based functional genomics screens and practical considerations for implementation across a range of modalities, applications, and disease areas, as well as explore CRISPR screens that have been performed in iPSC models to-date and the insights and therapies these screens have produced.
在过去20年里,用于分化人类多能干细胞的方案在细胞类型特异性和组织水平复杂性方面取得了进展,这有助于在最相关的细胞类型中建立人类疾病模型。从患者身上生成诱导多能干细胞(iPSC)的能力,进一步使得在合适的细胞环境中研究疾病突变成为可能,从而揭示疾病病因和进展的潜在机制。随着源自iPSC的疾病模型在稳健性和规模上的改进,它们在药物筛选中也得到了更广泛的应用,以发现新的疗法和治疗靶点。基因组编辑技术的进步,特别是CRISPR-Cas9的发现,进一步推动了含有致病突变的iPSC的快速发展。现在,CRISPR-Cas9技术已经超越了创建单基因编辑的范畴,通过将抑制(CRISPRi)或激活(CRISPRa)结构域与催化失活的Cas9蛋白融合,能够抑制或激活内源性基因座。这些工具已被用于CRISPR敲除、CRISPRi或CRISPRa筛选,以系统且无偏见的方式识别与疾病突变协同或拮抗的遗传修饰因子,从而确定疾病机制并发现新的治疗靶点,加速药物研发研究。然而,在将大规模功能基因组学方法应用于分化的PSC群体时,仍然存在许多技术挑战。在这里,我们综述了iPSC疾病建模和基于CRISPR的功能基因组学筛选领域的当前技术,以及在一系列模式、应用和疾病领域实施的实际考虑因素,并探讨了迄今为止在iPSC模型中进行的CRISPR筛选以及这些筛选所产生的见解和疗法。