Hi everyone,
I have generated some non-targeting gRNAs that can be used as negative controls (see
link). I generated the sequences using a probabilistic approach based on the frequency of each nucleotide at each position of experimentally validated gRNAs from the paper
Kaur et al 2016. Briefly, each gRNA sequence was generated by sampling each nucleotide at each position using the probability equal to that observed in each position of published gRNAs. You can test these gRNAs using the CRISPT MIT tool or your preferred method to select those that have no matches to your organism of interest and have high scores comparable to your gRNA.
For example, 'RandomSequence 20' in the fasta file has a quality score of 97 from the CRISPR MIT design tool and its closest off-target site has a score of 0.4 and 4 mismatches in the human genome. To choose a negative control that matches your experiment, you can select a non-targeting gRNA that has a similar score and off-target profile like your 'real' gRNA.
Let me know if you have any questions or thoughts.
Thanks
Geoffrey