The Hill-type equation reveals the regulatory principle of target protein expression led by p53 pulsing
Abstract
The central dogma indicates the basic direction of gene expression pathways. For activated gene expression, the quantitative relationship between various links from the binding of transcription factors (TFs) to DNA to protein synthesis remains unclear and debated. There is consensus that at a steady state, protein levels are largely determined by the mRNA level. How can we find this steady state? Taking p53 as an example, based on the previously discovered Hill-type equation that characterizes mRNA expression under p53 pulsing, I proved that the same equation can be used to describe the average steady state of target protein expression. Therefore, at steady state, the average fold changes in mRNA and protein expression under TFs pulsing were the same. This consensus has been successfully demonstrated. For the p53 target gene BAX, the observed fold changes in mRNA and protein expression were 1.40 and 1.28, respectively; the fold changes in mRNA and protein expression calculated using the Hill-type equation were both 1.35. Therefore, using this equation, we can not only fine-tune gene expression, but also predict the proteome from the transcriptome. Furthermore, by introducing two quantitative indicators, we can determine the degree of accumulation and stability of protein expression.
02 /Specification & Classification
Click any tag to browse matching papers- Citations
- 0
- FWCI
- 0.00
- Field percentile
- 8th percentile
- Approach
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Flux analysis reveals specific regulatory modalities of gene expression
Benjamin Martin, David M. Suter·bioRxiv·Nov 25, 2022
- Homeostasis of protein and mRNA concentrations in growing cells
- Optimal bang--bang feedback for bursty gene expression
Iryna Zabaikina, Pavol Bokes, Abhyudai Singh·European Control Conference (ECC)Peer-reviewed·May 1, 2020
- Revisiting the reduction of stochastic models of genetic feedback loops with fast promoter switching
James Holehouse, Ramon Grima·Biophysical JournalPeer-reviewed·Aug 27, 2019
- The RNA-binding protein Puf5 buffers mRNA levels against chromatin-mediated changes in nascent transcription
David Z. Kochan, Julia S. P. Mawer, … Peter Tessarz·bioRxiv·Aug 13, 2020
- Accounting for experimental noise reveals that mRNA levels, amplified by post-transcriptional processes, largely determine steady-state protein levels in yeast
Gábor Csárdi, Alexander Franks, … D. Allan Drummond·bioRxiv·Dec 26, 2014