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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...

Circadian Rhythms and Gene Regulation

Circadian Rhythms and Gene Regulation

The biological clock is involved in many aspects of regulating complex physiology in all animals. It was in 1935 when German zoologists, Hans Kalmus and Erwin Bünning, discovered the existence of circadian rhythm in Drosophila melanogaster. However, the internal molecular mechanisms behind the circadian clock remained a mystery until 1984, when Jeffrey C. Hall, Michael Rosbash, and Michael W. Young discovered the expression of the Per gene oscillating over a 24-hour cycle. In subsequent...

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

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...

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Related Experiment Video

Updated: Feb 5, 2026

In Vivo Monitoring of Circadian Clock Gene Expression in the Mouse Suprachiasmatic Nucleus Using Fluorescence Reporters

In Vivo Monitoring of Circadian Clock Gene Expression in the Mouse Suprachiasmatic Nucleus Using Fluorescence Reporters

Published on: July 4, 2018

Universal method for robust detection of circadian state from gene expression.

Rosemary Braun^1,2,3, William L Kath^2,3,4, Marta Iwanaszko^5,3

¹Biostatistics Division, Department of Preventive Medicine, Northwestern University, Chicago, IL 60611; rbraun@northwestern.edu.

Proceedings of the National Academy of Sciences of the United States of America

|September 12, 2018

Summary

This study introduces TimeSignature, a novel algorithm for accurately assessing biological time from gene expression in blood. This method offers a generalizable approach for diagnosing circadian disorders and optimizing treatment timing.

Keywords:

circadian rhythms cross-platform prediction gene expression dynamics machine learning

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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

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Last Updated: Feb 5, 2026

In Vivo Monitoring of Circadian Clock Gene Expression in the Mouse Suprachiasmatic Nucleus Using Fluorescence Reporters

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Published on: July 4, 2018

Monitoring Cell-autonomous Circadian Clock Rhythms of Gene Expression Using Luciferase Bioluminescence Reporters

Monitoring Cell-autonomous Circadian Clock Rhythms of Gene Expression Using Luciferase Bioluminescence Reporters

Published on: September 27, 2012

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:

Chronobiology
Molecular Biology
Biomarker Development

Background:

Circadian clocks regulate vital biological processes, impacting human health.
Accurate physiological time assessment via transcriptional biomarkers in blood aids circadian disorder diagnosis and therapeutic timing.
Gene expression biomarker development faces challenges due to diverse measurement platforms and data variability, hindering generalizability.

Purpose of the Study:

To introduce TimeSignature, a robust algorithm for inferring circadian time from gene expression.
To demonstrate the accuracy, efficiency, and generalizability of TimeSignature across different data types and studies.
To address the critical need for universally applicable gene expression predictors in clinical settings.

Main Methods:

Development and application of the TimeSignature algorithm.
Analysis of gene expression data from three independent studies using microarrays.
Validation using a new cohort of samples profiled by RNA-sequencing.

Main Results:

TimeSignature accurately estimates circadian time to within 2 hours for most samples.
The algorithm demonstrates superior accuracy and efficiency compared to existing methods.
A TimeSignature predictor trained on one study's data can be universally applied to new, independent datasets without retraining or data normalization.

Conclusions:

TimeSignature provides a robust and highly generalizable method for circadian time estimation from gene expression.
This algorithm overcomes major obstacles in developing clinically useful, universally applicable biomarker tests.
The universal applicability of TimeSignature across platforms and studies represents a significant advancement for diagnostic and therapeutic applications.