
doi: 10.3791/58556 , 10.3791/58556-v
pmid: 30638198
The bacterial CRISPR/Cas9 system has substantially increased methodological options for life scientists. Due to its utilization, genetic and genomic engineering became applicable to a large range of systems. Moreover, many transcriptional and epigenomic engineering approaches are now generally feasible for the first time. One reason for the broad applicability of CRISPR lies in its bipartite nature. Small gRNAs determine the genomic targets of the complex, variants of the protein Cas9, and the local molecular consequences. However, many CRISPR approaches depend on the simultaneous delivery of multiple gRNAs into individual cells. Here, we present a customizable protocol for string assembly gRNA cloning (STAgR), a method that allows the simple, fast and efficient generation of multiplexed gRNA expression vectors in a single cloning step. STAgR is cost-effective, since (in this protocol) the individual targeting sequences are introduced by short overhang primers while the long DNA templates of the gRNA expression cassettes can be re-used multiple times. Moreover, STAgR allows single step incorporation of a large number of gRNAs, as well as combinations of different gRNA variants, vectors and promoters.
Genetics ; Issue 142 ; Crispr ; Cas9 ; Dcas9 ; Grna Cloning ; Grna Multiplexing ; Genome Editing ; Transcriptome Editing, CRISPR-Associated Protein 9, Genomics, CRISPR-Cas Systems, Cloning, Molecular, RNA, Guide, CRISPR-Cas Systems
Genetics ; Issue 142 ; Crispr ; Cas9 ; Dcas9 ; Grna Cloning ; Grna Multiplexing ; Genome Editing ; Transcriptome Editing, CRISPR-Associated Protein 9, Genomics, CRISPR-Cas Systems, Cloning, Molecular, RNA, Guide, CRISPR-Cas Systems
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 1 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
