Back

sgRNA level determines CRISPRi knockdown efficiency in K562 cells

Wang, Y.; Dong, Z.; Jiang, X.; Gong, P.; Lu, J.; Wan, F.

2020-01-14 cancer biology
10.1101/2020.01.12.903625 bioRxiv
Show abstract

To determine how nuclease deactivated Cas9 (dCas9) or sgRNA expression level affects the knockdown efficiency of CRISPRi, K562 cell clones expressing KRAB-dCas9 protein either with the inducible Tet-on system or with the constitutive SFFV promotor were created by lentiviral transduction, and single clones were selected by fluorescence-activated cell sorting (FACS) for further study. Six genes with various expression levels were targeted using lentiviral sgRNA from two libraries in four cell clones with various KRAB-dCas9 expression levels. We determined the knockdown efficiency and the expression level of the dCas9 protein /sgRNA level by flow cytometry. The cell clone with the highest KRAB-dCas9 expression level achieved effective CRISPRi knockdown, and is statistically different from other clones, indicating enough KRAB-dCas9 expression might be a prerequisite for CRISPRi. Utilizing this clone, we modified the expression level of sgRNA by adopting different multiplicity of infection (MOI)in lentiviral transduction and found that the knockdown efficiency was neither affected by the target gene expression level nor does it correlate with KRAB-dCas9 level, which remained relatively constant (CV=2.2%) across knockdown experiments. 74.72%, 72.28%, 39.08% knockdown of mmadhc, rpia, znf148 genes were achieved, and the knockdown efficiency correlated well with the sgRNA expression level. Linear regression modeling of the data revealed that the knockdown efficiency is significantly affected by both KRAB-dCas9 and sgRNA level, and the sgRNA level has a greater impact, based on the standardized coefficient (0.525 for KRAB-dCas9, 0.981 for sgRNA), indicating that sgRNA level is a major factor affecting CRISPRi efficiency.

Matching journals

The top 6 journals account for 50% of the predicted probability mass.

1
The CRISPR Journal
39 papers in training set
Top 0.1%
31.6%
2
Scientific Reports
3612 papers in training set
Top 10%
6.8%
3
Genes to Cells
25 papers in training set
Top 0.1%
4.4%
4
Antiviral Research
50 papers in training set
Top 0.3%
2.5%
5
eLife
5828 papers in training set
Top 40%
2.5%
6
Cells
249 papers in training set
Top 2%
2.4%
50% of probability mass above
7
iScience
1154 papers in training set
Top 14%
1.9%
8
PLOS ONE
5266 papers in training set
Top 46%
1.9%
9
Journal of Cell Science
393 papers in training set
Top 2%
1.9%
10
Molecular Therapy - Methods & Clinical Development
38 papers in training set
Top 0.3%
1.8%
11
Molecular Therapy - Nucleic Acids
25 papers in training set
Top 0.3%
1.8%
12
Gene
46 papers in training set
Top 0.9%
1.5%
13
Frontiers in Genetics
230 papers in training set
Top 3%
1.4%
14
PeerJ
308 papers in training set
Top 7%
1.4%
15
Molecular Biology of the Cell
311 papers in training set
Top 2%
1.1%
16
Biology Open
156 papers in training set
Top 2%
1.1%
17
Experimental Cell Research
28 papers in training set
Top 0.5%
1.1%
18
Life Science Alliance
285 papers in training set
Top 6%
1.1%
19
RNA Biology
78 papers in training set
Top 1%
0.9%
20
Open Biology
106 papers in training set
Top 2%
0.9%
21
International Journal of Molecular Sciences
494 papers in training set
Top 14%
0.9%
22
Molecular Therapy Nucleic Acids
39 papers in training set
Top 0.9%
0.9%
23
Computational Biology and Chemistry
28 papers in training set
Top 1.0%
0.9%
24
EMBO Reports
263 papers in training set
Top 7%
0.9%
25
Cell Structure and Function
11 papers in training set
Top 0.2%
0.6%
26
Cell Reports
1498 papers in training set
Top 29%
0.6%
27
Molecular Biology Reports
21 papers in training set
Top 1%
0.6%
28
Frontiers in Bioengineering and Biotechnology
98 papers in training set
Top 3%
0.6%
29
BMC Biotechnology
14 papers in training set
Top 0.2%
0.6%
30
Virus Research
37 papers in training set
Top 0.9%
0.6%