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What is Gene Expression?

What is Gene Expression?

Overview
Gene expression is the process in which DNA directs the synthesis of functional products, that is, proteins. Cells can regulate gene expression at various stages. It allows organisms to generate different cell types and enables cells to adapt to internal and external factors.
Genetic Information Flows from DNA to RNA to Protein
A gene is a stretch of DNA that serves as the blueprint for functional RNAs and proteins. Since DNA is made up of nucleotides and proteins consist of amino...

What is Gene Expression?

What is Gene Expression?

A gene is a stretch of DNA that serves as the blueprint for functional RNAs and proteins. Since DNA is comprised of nucleotides and proteins are comprised of amino acids, a mediator is required to convert the information encoded in DNA into proteins. This mediator is the messenger RNA (mRNA). mRNA copies the blueprint from DNA by a process called transcription. In eukaryotes, transcription occurs in the nucleus by complementary base-pairing with the DNA template. The mRNA is then...

Cell Specific Gene Expression

Cell Specific Gene Expression

Multicellular organisms contain a variety of structurally and functionally distinct cell types, but the DNA in all the cells originated from the same parent cells. The differences in the cells can be attributed to the differential gene expression. Liver cells, whose functions include detoxification of blood, production of bile to metabolize fats, and synthesis of proteins essential for metabolism, must express a specific set of genes to perform their functions. Gene expression also varies with...

Cell Specific Gene Expression

Cell Specific Gene Expression

No description available

Chromatin Position Affects Gene Expression

Chromatin Position Affects Gene Expression

Chromatin is the massive complex of DNA and proteins packaged inside the nucleus. The complexity of chromatin folding and how it is packaged inside the nucleus greatly influences access to genetic information. Generally, the nucleus' periphery is considered transcriptionally repressive, while the cell's interior is considered a transcriptionally active area.
Topologically Associated Domains (TADs)
The 3-dimensional positioning of chromatin in the nucleus influences the...

mRNA Stability and Gene Expression

mRNA Stability and Gene Expression

The structure and stability of mRNA molecules regulates gene expression, as mRNAs are a key step in the pathway from gene to protein. In eukaryotes, the half-life of mRNA varies from a few minutes up to several days. mRNA stability is essential in growth and development. The absence of the proteins regulating its stability, such as tristetraprolin in mice, can cause systemic issues, including bone marrow overgrowth, inflammation, and autoimmunity.
Cis-acting Elements involved in mRNA stability

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Related Experiment Video

Updated: Feb 10, 2026

High-Throughput Metabolic Profiling for Model Refinements of Microalgae

High-Throughput Metabolic Profiling for Model Refinements of Microalgae

Published on: December 4, 2021

Integrating gene expression and metabolic profiles.

Zheng Li¹, Christina Chan

¹Department of Chemical Engineering and Material Science, Michigan State University, East Lansing, Michigan 48824, USA.

The Journal of Biological Chemistry

|April 27, 2004

Summary

This study presents a new framework integrating gene expression and metabolic data to identify key genes regulating liver cell functions. This approach helps uncover the interplay between gene and metabolic networks for better cellular function prediction.

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High-Throughput Metabolic Profiling for Model Refinements of Microalgae

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Metabolic Profile Analysis of Zebrafish Embryos

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Using an Automated Cell Counter to Simplify Gene Expression Studies: siRNA Knockdown of IL-4 Dependent Gene Expression in Namalwa Cells

Using an Automated Cell Counter to Simplify Gene Expression Studies: siRNA Knockdown of IL-4 Dependent Gene Expression in Namalwa Cells

Published on: April 14, 2010

Area of Science:

Systems biology
Computational biology
Genomics and metabolomics

Background:

High-throughput technologies generate vast biological data (gene expression, metabolic profiles).
Integrating diverse data types improves cellular function prediction and regulatory network reconstruction.
Existing techniques for data extraction are varied and continuously evolving.

Purpose of the Study:

To develop a computational framework for integrating metabolic and gene expression data in a hepatocellular system.
To identify genes critical for specific cellular functions by linking expression levels to metabolic activity.
To reconstruct the role of identified genes within the metabolic network.

Main Methods:

Preprocessing gene expression data using statistical techniques.
Employing a genetic algorithm coupled with partial least squares (PLS) analysis for gene selection and function prediction.
Reconstructing regulatory pathways involved in intracellular triglyceride and urea synthesis using literature search.

Main Results:

Identified genes whose expression levels quantitatively predict metabolic function.
Identified genes that play a regulatory role in hepatocellular functions.
Reconstructed the metabolic network pathways influenced by identified genes.

Conclusions:

The developed framework effectively integrates gene expression and metabolic data.
This approach aids in identifying environmentally responsive cellular pathways.
The study enhances understanding of the interplay between gene and metabolic networks in cellular regulation.