(Theme 5) Below are data from Jimenez et al (2022) depicting cellular expression patterns of the tumor suppressor transcription factor p53 (a gene commonly mutated in cancers). They explored oscillating expression patterns found in a mutated human cell line. Panel D shows measurements of changes in p53 mRNA levels measured using two different approaches; figure E shows measurements of protein levels from the same samples. The numbers on either side indicate the observed fold change (FC) in relative abundance of these molecules (note that any difference in values obtained between the two methods are not relevant for this question). D E RNASeq FC qPCR FC 1.5 0.5 p53 1.5 1 0.5 0 1 2 3 4 5 6 7 8 9 time [h] MassSpec FC WB FC 5 4 2 p53 1. 1 0 1 2 3 4 5 6 7 8 9 time [h] A) Propose an explanation for how the magnitude of protein changes can be larger than the changes in mRNA.
Gene Interactions
When the expression of a single trait is influenced by two or more different non-allelic genes, it is termed as genetic interaction. According to Mendel's law of inheritance, each gene functions in its own way and does not depend on the function of another gene, i.e., a single gene controls each of seven characteristics considered, but the complex contribution of many different genes determine many traits of an organism.
Gene Expression
Gene expression is a process by which the instructions present in deoxyribonucleic acid (DNA) are converted into useful molecules such as proteins, and functional messenger ribonucleic (mRNA) molecules in the case of non-protein-coding genes.
Answer part a
![**Theme 5: Cellular Expression Patterns of Tumor Suppressor Transcription Factor p53**
The provided data from Jimenez et al. (2022) illustrate the oscillating expression patterns of the tumor suppressor transcription factor p53, which is commonly mutated in cancers. The study focused on a mutated human cell line.
**Panel D: Changes in p53 mRNA Levels**
- The graph in Panel D shows the changes in p53 mRNA levels over time using two measurement approaches: RNA sequencing (RNASeq) and quantitative PCR (qPCR).
- The x-axis represents time in hours, from 0 to 9.
- The y-axis on the left corresponds to fold change (FC) in p53 mRNA relative to the baseline using qPCR, ranging from 0.5 to 1.5.
- The y-axis on the right indicates RNASeq fold change, from 0.5 to 1.5 as well.
- The data depict slight variations in mRNA levels over time, with overlapping error bars suggesting consistency between the two methods.
**Panel E: Protein Level Measurements**
- Panel E displays protein level changes, measured using Mass Spectrometry (MassSpec) and Western Blot (WB).
- The x-axis is similarly marked for time in hours.
- The y-axis on the left shows fold change in protein levels measured by WB, spanning from 1 to 5.
- The y-axis on the right indicates MassSpec FC, ranging from 1 to 4.
- This panel shows more pronounced fluctuations in protein levels compared to mRNA, with peaks observed at 3 and 5 hours.
**Explanation Proposal**
A) The magnitude of protein changes can be larger than the changes in mRNA due to several potential factors, including:
1. **Post-transcriptional Modifications**: These can cause significant changes in protein levels and activities without corresponding mRNA changes.
2. **Translation Efficiency**: Variability in how efficiently mRNA is translated into protein can amplify protein level changes.
3. **Protein Stability**: Differences in protein degradation rates can also affect protein levels independently of mRNA.
Understanding these differences is crucial in cellular biology, especially in the context of cancer research.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F4143f45a-5c96-4449-af2f-abda697f3e91%2F089ac713-34d1-4ee1-aea4-236966caafc0%2Fof5fzvs_processed.png&w=3840&q=75)
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