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Error: Error in passages view: Field 'id' expected a number but got <SimpleLazyObject: <django.contrib.auth.models.AnonymousUser object at 0x7f446039e900>>.
Error: Error in passages view: Field 'id' expected a number but got <SimpleLazyObject: <django.contrib.auth.models.AnonymousUser object at 0x7f446039e570>>.
Error: Error in passages view: Field 'id' expected a number but got <SimpleLazyObject: <django.contrib.auth.models.AnonymousUser object at 0x7f44603bb4d0>>.
Error: Error in passages view: Field 'id' expected a number but got <SimpleLazyObject: <django.contrib.auth.models.AnonymousUser object at 0x7f440615deb0>>.
Error: Could not find gene with ID = 'MSMEG5711' and Strain = 'H37Rv'
Error: Could not find gene with ID = 'MSMEG5711' and Strain = 'H37Rv'
Error: Could not find gene with ID = 'MSMEG6031' and Strain = 'H37Rv'
Error: Could not find gene with ID = 'MSMEG6026' and Strain = 'H37Rv'
Error: Could not find gene with ID = 'MSMEG5966' and Strain = 'H37Rv'
Error: Could not find gene with ID = 'MSMEG6581' and Strain = 'H37Rv'
Error: Could not find gene with ID = 'MSMEG2899' and Strain = 'H37Rv'
Error: Could not find gene with ID = 'MSMEG2899' and Strain = 'H37Rv'
Error: Could not find gene with ID = 'MSMEG5584' and Strain = 'H37Rv'
Error: Could not find gene with ID = 'MSMEG4801' and Strain = 'H37Rv'
Error: Could not find gene with ID = 'MSMEG4801' and Strain = 'H37Rv'
Error: Could not find gene with ID = 'MSMEG1968' and Strain = 'H37Rv'
Error: Could not find gene with ID = 'MSMEG1968' and Strain = 'H37Rv'
Error: Could not find gene with ID = 'MSMEG1968' and Strain = 'H37Rv'
Error in passages view: Field 'id' expected a number but got <SimpleLazyObject: <django.contrib.auth.models.AnonymousUser object at 0x7f446039e900>>.
Error in passages view: Field 'id' expected a number but got <SimpleLazyObject: <django.contrib.auth.models.AnonymousUser object at 0x7f446039e570>>.
Error in passages view: Field 'id' expected a number but got <SimpleLazyObject: <django.contrib.auth.models.AnonymousUser object at 0x7f44603bb4d0>>.
Error in passages view: Field 'id' expected a number but got <SimpleLazyObject: <django.contrib.auth.models.AnonymousUser object at 0x7f440615deb0>>.
Could not find gene with ID = 'MSMEG5711' and Strain = 'H37Rv'
Could not find gene with ID = 'MSMEG5711' and Strain = 'H37Rv'
Could not find gene with ID = 'MSMEG6031' and Strain = 'H37Rv'
Could not find gene with ID = 'MSMEG6026' and Strain = 'H37Rv'
Could not find gene with ID = 'MSMEG5966' and Strain = 'H37Rv'
Could not find gene with ID = 'MSMEG6581' and Strain = 'H37Rv'
Could not find gene with ID = 'MSMEG2899' and Strain = 'H37Rv'
Could not find gene with ID = 'MSMEG2899' and Strain = 'H37Rv'
Could not find gene with ID = 'MSMEG5584' and Strain = 'H37Rv'
Could not find gene with ID = 'MSMEG4801' and Strain = 'H37Rv'
Could not find gene with ID = 'MSMEG4801' and Strain = 'H37Rv'
Could not find gene with ID = 'MSMEG1968' and Strain = 'H37Rv'
Could not find gene with ID = 'MSMEG1968' and Strain = 'H37Rv'
Could not find gene with ID = 'MSMEG1968' and Strain = 'H37Rv'
Experiment: We designed an M. tuberculosis CRISPRi library (RLC12) to target all annotated Mtb genes with single guide RNAs (sgRNAs) of varying predicted knockdown efficiencies.
In parallel, we constructed a M. smegmatis CRISPRi library (RLC11) to target all annotated Msmeg genes, similar to the Mtb sgRNA library.
RLC12 was transformed into M. tuberculosis H37Rv; RLC11 into M. smegmatis mc2-155.
We passaged both CRISPRi libraries for nearly 30 generations in the presence or absence of the CRISPRi-inducer anhydrotetracycline (ATc). At the indicated timepoints, genomic DNA was harvested and the representation of individual sgRNAs was counted using Illumina sequencing.
Here, we show sgRNA log2 fold-change values (L2FC) (plus versus minus ATc) over consecutive generations for sgRNAs targeting the gene you selected.
sgRNAs are color-coded based on their predicted strength from blue (strength=0; weak) to red (strength=1; strong).
In order to quantify gene vulnerability, data were subsequently analyzed with a hierarchical model at the sgRNA level (two-line model) and gene level (Hill curve). The vulnerability quantification is shown below. [More information]
M. smegmatis Reference Fitness Experiment
M. tuberculosis H37Rv Reference Fitness Experiment
M. tuberculosis HN878 Reference Fitness Experiment
M. smegmatis Gene-Level Logistic Regression
M. tuberculosis H37Rv Gene-Level Logistic Regression (Most similar ortholog)
M. tuberculosis HN878 Gene-Level Logistic Regression (Most similar ortholog)