The Process of Gene Expression in Cells
A look into how cells produce proteins through gene expression.
Emma L. Peterman, Deon S. Ploessl, Kasey S. Love, Valeria Sanabria, Rachel F. Daniels, Christopher P. Johnstone, Diya R. Godavarti, Sneha R. Kabaria, Athma A. Pai, Kate E. Galloway
― 6 min read
Table of Contents
- What is Gene Expression?
- The Role of RNA
- Why Levels Matter
- Predicting Protein Levels
- The Importance of Promoters
- Transgenic Systems
- The Role of the Polyadenylation Signal
- The Coding Sequence
- The 5’ UTR
- The Challenge of Measuring Expression
- Integrating Knowledge for Better Design
- The Future of Gene Expression
- Original Source
In the world of biology, cells are like little factories that make everything from proteins to RNA. Just like a factory runs better with the right tools and processes, cells have their own set of tools that help them produce necessary components effectively. One of the biggest players in this process is Gene Expression, which tells a cell how much of each protein to make and when.
What is Gene Expression?
Gene expression is the process by which information from a gene is used to create a product, usually a protein. Think of it like a recipe that a chef uses to prepare a meal. The chef needs to know what ingredients to use and how to combine them to make the dish taste just right.
In our cells, DNA is the cookbook, and genes are the individual recipes. When a cell needs a certain protein, it “reads” the corresponding gene and follows the recipe, producing the required proteins that perform various jobs in the body.
The Role of RNA
Before proteins are made, a crucial step involves RNA. RNA acts as a messenger that carries genetic information from DNA to the ribosomes, where proteins are assembled. If DNA is the cookbook, then RNA is like the waiter who takes your order to the chef. Just like you want your order done right, cells need to make sure they have the right RNA to produce the right proteins.
The process of turning DNA into RNA is called transcription. After the messenger (RNA) is made, it often needs to be modified through various processes, like splicing, which removes unnecessary bits before it gets sent out to ribosomes for protein production.
Why Levels Matter
The level of different proteins and RNA molecules directly affects how a cell behaves. It’s like how the number of burgers you make for a party can change everything; too few, and no one eats, too many, and you have a sad situation of leftover burgers. In cells, if the levels of proteins or RNA are off, it can affect how well the cell can function, leading to problems.
Predicting Protein Levels
Scientists are trying to figure out how to predict the levels of RNA and proteins in cells better. If they can understand how different factors influence these levels, they can design better systems for medical applications, genetic engineering, and other fields. Imagine designing a new factory where you know exactly how many products you can turn out and when.
Promoters
The Importance ofOne crucial piece of the gene expression puzzle is the promoter. Promoters are like switches that turn genes on or off; they determine when and how much product (RNA and subsequently proteins) a gene should produce.
Researchers are testing various promoters to see how strongly they can turn on a gene. Strong promoters can produce more RNA and protein, while weak ones yield less. However, strong promoters are not always the best choice; just like you wouldn’t use a sledgehammer to tap a nail, sometimes a gentle touch is more effective.
Transgenic Systems
Scientists often use tools called transgenic systems to study gene expression. This involves inserting a new gene into a cell to see how it works. It’s like giving the factory a new recipe to see how it changes the products.
When researchers put these transgenes into cells, they measure how much RNA and protein are produced. It helps them know which combinations of promoters and genes work best together.
The Role of the Polyadenylation Signal
Another element that influences gene expression is the polyadenylation signal (PAS). You can think of it as the icing on the cake. It helps stabilize RNA after it has been made, ensuring that it doesn’t break down too quickly. Different PAS sequences can lead to different outcomes.
Some sequences work great, making proteins efficiently, while others might just create a bunch of extra RNA without much protein. It’s like icing that looks good but doesn’t taste great.
The Coding Sequence
The coding sequence is also important. This is the part of the gene that actually contains the instructions for making a protein. Different Coding Sequences can lead to different levels of protein production based on their specific characteristics. It’s like having two recipes with very different cooking styles; one might produce a delightful meal, while the other might just be a mess.
The 5’ UTR
The 5’ untranslated region (5’ UTR) of RNA can lead to variations in how efficiently the protein is made. Sometimes, when these regions are longer or have specific sequences, they can slow down or speed up the production of the protein. It’s like having a confusing set of directions-getting lost in translation can happen!
The Challenge of Measuring Expression
Knowing how much RNA and protein are produced is vital for understanding how genes work. But measuring them isn’t always straightforward. Scientists have developed clever tools like HCR Flow-FISH, which allows them to simultaneously measure RNA and protein in single cells. This technology offers a new way to dig deeper into how cells function and can even help design better gene circuits for potential therapies.
Integrating Knowledge for Better Design
To put everything together, researchers are combining their understanding of promoters, PAS, UTRs, coding sequences, and technology to create better gene expression systems. By carefully tuning these elements, they can optimize how much protein is produced, which can lead to better outcomes in genetic engineering.
The Future of Gene Expression
The ongoing research into gene expression will lead to more efficient cell systems that can produce proteins on demand, improving everything from medicine to industrial applications. With a greater understanding of factors influencing gene expression, scientists can design sophisticated circuits that can respond predictably in different environments.
In conclusion, gene expression is a complex but fascinating field. By unraveling the threads of how genes are turned on and off and how their messages are translated into proteins, we can make significant advancements in science and technology. Who knew that our cells had all these tricks up their sleeves?
So, next time you take a bite from a delicious burger, remember the incredible cellular processes that got all the ingredients to come together perfectly. It’s a little bit like a scientific kitchen, where every chef (or cell) has to know their recipe inside and out!
Title: High-resolution profiling reveals coupled transcriptional and translational regulation of transgenes
Abstract: Concentrations of RNAs and proteins provide important determinants of cell fate. Robust gene circuit design requires an understanding of how the combined actions of individual genetic components influence both mRNA and protein levels. Here, we simultaneously measure mRNA and protein levels in single cells using HCR Flow-FISH for a set of commonly used synthetic promoters. We find that promoters generate differences in both the mRNA abundance and the effective translation rate of these transcripts. Stronger promoters not only transcribe more RNA but also show higher effective translation rates. While the strength of the promoter is largely preserved upon genome integration with identical elements, the choice of polyadenylation signal and coding sequence can generate large differences in the profiles of the mRNAs and proteins. We used long-read direct RNA sequencing to characterize full-length mRNA isoforms and observe remarkable uniformity of mRNA isoforms from the transgenic units. Together, our high-resolution profiling of transgenic mRNAs and proteins offers insight into the impact of common synthetic genetic components on transcriptional and translational mechanisms. By developing a novel framework for quantifying expression profiles of transgenes, we have established a system for comparing native and synthetic gene regulation and for building more robust transgenic systems.
Authors: Emma L. Peterman, Deon S. Ploessl, Kasey S. Love, Valeria Sanabria, Rachel F. Daniels, Christopher P. Johnstone, Diya R. Godavarti, Sneha R. Kabaria, Athma A. Pai, Kate E. Galloway
Last Update: 2024-12-03 00:00:00
Language: English
Source URL: https://www.biorxiv.org/content/10.1101/2024.11.26.625483
Source PDF: https://www.biorxiv.org/content/10.1101/2024.11.26.625483.full.pdf
Licence: https://creativecommons.org/licenses/by-nc/4.0/
Changes: This summary was created with assistance from AI and may have inaccuracies. For accurate information, please refer to the original source documents linked here.
Thank you to biorxiv for use of its open access interoperability.