Abstract
Myriads of epigenomic features have been comprehensively profiled in health and disease across cell types, tissues and individuals. Although current epigenomic approaches can infer function for chromatin marks through correlation, it remains challenging to establish which marks actually have causative roles in gene regulation and other processes. After revisiting how classical approaches have addressed this question in the past, we discuss the current state of epigenomic profiling and how functional information can be indirectly inferred. We also present new approaches that promise definitive functional answers, which are collectively referred to as `epigenome editing'. In particular, we explore CRISPR-based technologies for single-locus and multi-locus manipulation. Finally, we discuss which level of function can be achieved with each approach and introduce emerging strategies for high-throughput progression from profiles to function.
| Item Type: | Journal article |
|---|---|
| Faculties: | Medicine |
| Subjects: | 600 Technology > 610 Medicine and health |
| ISSN: | 1471-0056 |
| Language: | English |
| Item ID: | 55430 |
| Date Deposited: | 14. Jun 2018, 09:59 |
| Last Modified: | 04. Nov 2020, 13:35 |
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