Department of Biochemistry, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, United States.
Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, United States.
ACS Synth Biol. 2024 Oct 18;13(10):3056-3068. doi: 10.1021/acssynbio.4c00099. Epub 2024 Sep 24.
DNA lies at the heart of the central dogma of life. Altering DNA can modify the flow of information in fundamental cellular processes such as transcription and translation. The ability to precisely manipulate DNA has led to remarkable advances in treating incurable human genetic ailments and has changed the landscape of biological research. Genome editors such as CRISPR-Cas nucleases and TALENs have become ubiquitous tools in basic and applied biological research and have been translated to the clinic to treat patients. The specificity and modularity of these genome editors have made it possible to efficiently engineer genomic DNA; however, underlying principles governing editing outcomes in eukaryotes are still being uncovered. Editing efficiency can vary from cell type to cell type for the same DNA target sequence, necessitating de novo design and validation efforts. Chromatin structure and epigenetic modifications have been shown to affect the activity of genome editors because of the role they play in hierarchical organization of the underlying DNA. Understanding the nuclear search mechanism of genome editors and their molecular interactions with higher order chromatin will lead to improved models for predicting precise genome editing outcomes. Insights from such studies will unlock the entire genome to be engineered for the creation of novel therapies to treat critical illnesses.
DNA 是生命中心法则的核心。改变 DNA 可以改变转录和翻译等基本细胞过程中的信息流。精确操纵 DNA 的能力带来了治疗不治之症的人类遗传疾病的显著进展,并改变了生物学研究的格局。基因组编辑工具,如 CRISPR-Cas 核酸酶和 TALENs,已成为基础和应用生物学研究中无处不在的工具,并已被转化为临床治疗患者。这些基因组编辑工具的特异性和模块化使得高效地工程化基因组 DNA 成为可能;然而,真核生物中编辑结果的潜在原理仍在被揭示。对于相同的 DNA 靶序列,编辑效率可能因细胞类型而异,因此需要进行新的设计和验证工作。染色质结构和表观遗传修饰已被证明会影响基因组编辑工具的活性,因为它们在底层 DNA 的层次组织中发挥作用。了解基因组编辑工具的核搜索机制及其与高级染色质的分子相互作用将导致改进的模型来预测精确的基因组编辑结果。此类研究的见解将解锁整个基因组,以进行工程设计,创造新型疗法来治疗危及生命的疾病。