When you perform CRISPR gene editing in cells, you are typically targeting specific genes for modification, which can include knocking out genes, inserting new sequences, or altering existing ones. After CRISPR editing, if you extract mRNA and sequence it, you can expect to see several outcomes based on the nature of the edits made.
In summary, after performing CRISPR in cells and sequencing the extracted mRNA, you can expect to see a mixture of wild-type mRNA, altered levels of target mRNA, and potentially novel mRNA products depending on the nature of the CRISPR modifications. The specific outcomes will depend on the target gene, the type of CRISPR system used, and the cellular context.
import pandas as pd import matplotlib.pyplot as plt # Load mRNA sequencing data mRNA_data = pd.read_csv('mRNA_sequencing_results.csv') # Analyze expression levels expression_changes = mRNA_data.groupby('gene').mean().reset_index() # Plotting the results plt.figure(figsize=(10,6)) plt.bar(expression_changes['gene'], expression_changes['expression_level']) plt.title('mRNA Expression Levels Post-CRISPR Editing') plt.xlabel('Gene') plt.ylabel('Expression Level') plt.xticks(rotation=45) plt.tight_layout() plt.show()