In this panel, you can compare the cell responses to CRISPR gene perturbation between drug-treated and untreated conditions.

The resource data is derived from Crispr screen result published by Olivieri et al. The result shows the gene's NormZ value (normalized sgRNA reads count Z-score between DNA damage-treated and untreated conditions cells). Negative NormZ values represent genes whose mutation leads to their depletion from the cell population after genotoxin exposure, whereas positive NormZ scores represent genes whose mutation leads to a selective growth advantage in the presence of the drug. See the original paper for details.

Olivieri M et al. A Genetic Map of the Response to DNA Damage in Human Cells. Cell. 2020. [DOI] [PubMed]

Parameters:

• Gene: Input a gene for analysis. Gene ID is not supported, please use gene official name. A total of 17,382 genes were included in the screen, therefore, not all genes are available.
• Treatment Datasets: Click "+" to select datasets for drug treatment. Data with more than five entries and data for nonexistent selected genes will be filtered out.

In this panel, you can compare the cell responses to CRISPR gene perturbation between drug-treated and untreated conditions.

The resource data is derived from Crispr screen result published by Lau et al. The result shows the gene's MAGeCK positive score (statistical significance level of positive selection calculated by MAGecK). Positive selection represents genes whose knockouts resulted in resistance to cancer drugs. FDR is the corrected MAGeCK score (p-value for positive selection). This study adopted FDR < 0.1 as the threshold for drug-resistance. See the original paper for details.

Lau MT et al. Systematic functional identification of cancer multi-drug resistance genes. Genome Biol. 2020. [DOI] [PubMed]

Parameters:

• Gene: Input a gene for analysis. Gene ID is not supported, please use gene official name. A total of 20,510 genes were included in the screen.
• Treatment Datasets: Click "+" to select datasets for drug treatment.

In this panel, you can compare the cell responses to CRISPR gene perturbation between drug-treated and untreated conditions.

The resource data is derived from Crispr screen result published by Wang et al. The result shows the gene's NormZ score calculated by DrugZ. Negative NormZ values suggest that depletion of the genes in question leads to synthetic weakness/lethality in the cell; positive NormZ values indicate genes whose loss confers a growth advantage in cells treated with the indicated drug. They used NormZ values less than -3 and synthetic lethal P values lower than 0.015 as the criteria for inclusion in a list of candidate genes whose loss could sensitize cells to each inhibitor. See the original paper for details.

Wang C et al. Genetic vulnerabilities upon inhibition of DNA damage response. Nucleic Acids Res. 2021. [DOI] [PubMed]

Parameters:

• Gene: Input a gene for analysis. Gene ID is not supported, please use gene official name. A total of 17,928 genes were included in the screen.
• Treatment Datasets: Click "+" to select datasets for drug treatment.

In this panel, you can compare the cell responses to CRISPR gene perturbation between drug-treated and untreated conditions.

The resource data is derived from Crispr screen result published by Ramaker et al. They performed CRISPR-Cas9 knock-out (CRISPRko) and endogenous activation (CRISPRact) screening identify genes whose loss or gain of expression were able to modulate sensitivity to four common cytotoxic chemotherapies used in the treatment of PDAC (gemcitabine, oxaliplatin, irinotecan, and 5-fluorouracil). They reported "L2FC sum" scores, which is the sum of the replicate minimum log2 fold changes of the top two sgRNAs targeting each gene. Positive L2FC sum represents resistance to drugs (GECKO: knockout of gene shows resistance; SAM: activation of gene shows resistance). See the original paper for details.

Ramaker RC et al. Pooled CRISPR screening in pancreatic cancer cells implicates co-repressor complexes as a cause of multiple drug resistance via regulation of epithelial-to-mesenchymal transition. BMC Cancer. 2021. [DOI] [PubMed]

Parameters:

• Gene: Input a gene for analysis. Gene ID is not supported, please use gene official name. A total of 23,728 genes were included in the screen.
• Treatment Datasets: Click "+" to select datasets for drug treatment.