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Related Concept Videos

What is Gene Expression?01:42

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?01:42

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?01:36

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 processed and...
Interactions Between Signaling Pathways01:19

Interactions Between Signaling Pathways

Signaling cascades usually lack linearity. Multiple pathways interact and regulate one another, allowing cells to integrate and respond to diverse environmental stimuli.
Convergence and divergence, and cross-talk between signaling pathways
Two distinct signaling pathways can converge on a single functional unit, which may either be a single protein or a complex of proteins. The response is either functionally distinct or synergistic between the two pathways but different from the response...
Regulation of Expression at Multiple Steps01:23

Regulation of Expression at Multiple Steps

The gene expression in cells is regulated at different stages: (i) transcription, (ii) RNA processing, (iii) RNA localization, and (iv) translation. Transcriptional regulation is mediated by regulatory proteins such as transcription factors, activators, or repressors—these control gene expression by initiating or inhibiting the transcription of genes. Once a precursor or pre-mRNA is produced, it undergoes post-transcriptional modification, including 5' capping, splicing, and the addition of a...

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Related Experiment Video

Updated: Jun 30, 2026

Sample Preparation and Analysis of RNASeq-based Gene Expression Data from Zebrafish
11:42

Sample Preparation and Analysis of RNASeq-based Gene Expression Data from Zebrafish

Published on: October 27, 2017

Analysis of gene expression data with pathway scores.

A Zien1, R Küffner, R Zimmer

  • 1Institute for Algorithms and Scientific Computing, GMD-German National Research Center for Information Technology, Schloss Birlinghoven, Sankt Augustin. Alexander.Zien@gmd.de

Proceedings. International Conference on Intelligent Systems for Molecular Biology
|September 8, 2000
PubMed
Summary

This study introduces a novel method for analyzing gene expression data by generating and scoring biological pathways. The approach effectively identifies significant pathways, offering a new tool for biological research.

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Last Updated: Jun 30, 2026

Sample Preparation and Analysis of RNASeq-based Gene Expression Data from Zebrafish
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Using Human Differentially Expressed Gene Lists to Perform Downstream Pathway Enrichment Analysis and Target Prioritization

Published on: October 3, 2025

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • Gene expression data analysis is crucial for understanding biological processes.
  • Identifying relevant biological pathways from complex datasets remains a challenge.

Purpose of the Study:

  • To develop a new computational approach for evaluating gene expression data.
  • To systematically identify and score biologically relevant pathways.

Main Methods:

  • Generation of biologically plausible pathways.
  • Development and application of sample scoring functions.
  • Statistical assessment of pathway scores against random permutations.

Main Results:

  • Simple scoring functions can yield statistically significant scores for relevant pathways.
  • The proposed method demonstrates the ability to assign significance to biological pathways.
  • The approach effectively links gene expression measurements to pathway activity.

Conclusions:

  • The combination of pathway generation and scoring functions provides a robust method for gene expression data evaluation.
  • This approach facilitates the selection of the most biologically interesting pathways.
  • The findings suggest a powerful new tool for transcriptomic data analysis.