DNA Replication Fidelity Study Researchers investigated the…

DNA Replication Fidelity Study Researchers investigated the relationship between DNA replication accuracy and cancer development. They examined three groups of cells: Group A: Normal cells with fully functional DNA polymerase proofreading, mismatch repair, and nucleotide excision repair Group B: Cells with a mutation that reduces DNA polymerase proofreading efficiency by 80% Group C: Cells with mutations in both DNA polymerase proofreading and the p53 tumor suppressor gene The cells were grown for 50 generations and analyzed for mutation accumulation and cell cycle progression. During S phase, DNA polymerase adds nucleotides to the 3′ end of the growing strand, synthesizing the leading strand continuously and the lagging strand in Okazaki fragments. Proofreading occurs when DNA polymerase detects mismatched base pairs and uses its 3′ to 5′ exonuclease activity to remove incorrect nucleotides. prolif.jpg Based on the passage and data, which statement best explains why Group C showed both the highest mutation rate AND continued proliferation despite DNA damage?

Researchers measured the rate of DNA synthesis in cells duri…

Researchers measured the rate of DNA synthesis in cells during different phases of the cell cycle. They used radioactive nucleotides to track DNA replication and measured incorporation rates over time. graph 3.jpg A mutation in DNA polymerase reduces its synthesis rate by 50%. At which time point would this mutation have the greatest impact on normal cell function?

A research team discovers a mutation in the gene encoding a…

A research team discovers a mutation in the gene encoding a cyclin-dependent kinase (Cdk) that allows it to be constitutively active without cyclin binding. Additionally, this cell line has a nonfunctional p53 protein due to a separate mutation. During DNA replication in S phase, multiple errors occur due to exposure to UV radiation. Which of the following outcomes is most likely?

Programming problem. Please upload a jupyter notebook file ….

Programming problem. Please upload a jupyter notebook file .ipynb (-2 if html or other format) The file ‘purchase.csv’ contains ~1000 ecommerce purchases. Each row is a record of a purchase containing the price, qty ordered, order date, etc. Write a function that returns a dataframe with the total revenue for each product category and the rank, sorted in descending order by Rank. Use “min” method to break ties.