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Related Concept Videos

Gene Evolution - Fast or Slow?02:05

Gene Evolution - Fast or Slow?

The genomes of eukaryotes are punctuated by long stretches of sequence which do not code for proteins or RNAs. Although some of these regions do contain crucial regulatory sequences, the vast majority of this DNA serves no known function. Typically, these regions of the genome are the ones in which the fastest change, in evolutionary terms, is observed, because there is typically little to no selection pressure acting on these regions to preserve their sequences.
In contrast, regions which code...
Gene Evolution - Fast or Slow?02:05

Gene Evolution - Fast or Slow?

The genomes of eukaryotes are punctuated by long stretches of sequence which do not code for proteins or RNAs. Although some of these regions do contain crucial regulatory sequences, the vast majority of this DNA serves no known function. Typically, these regions of the genome are the ones in which the fastest change, in evolutionary terms, is observed, because there is typically little to no selection pressure acting on these regions to preserve their sequences.
In contrast, regions which code...
Protein Networks02:26

Protein Networks

An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
Protein Networks02:26

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An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
Time-Series Graph00:54

Time-Series Graph

A time-series graph is a line graph with repeated measurements taken at successive intervals of time. It is also called a time series chart. To construct a time-series graph, one must look at both pieces of a paired data set. The horizontal axis is used to plot the time increments, and the vertical axis is used to plot the values of the variable that one is measuring. By using the axes in this way, each point on the graph will correspond to time and a measured quantity. The points on the graph...

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Related Experiment Video

Updated: Jul 13, 2026

Temporal Ordering of Dynamic Expression Data from Detailed Spatial Expression Maps
11:52

Temporal Ordering of Dynamic Expression Data from Detailed Spatial Expression Maps

Published on: February 9, 2017

Precedence Temporal Networks to represent temporal relationships in gene expression data.

Lucia Sacchi1, Cristiana Larizza, Paolo Magni

  • 1Dipartimento di Informatica e Sistemistica, University of Pavia, Via Ferrata n(o) 1, 27100 Pavia, Italy. lucia.sacchi@unipv.it

Journal of Biomedical Informatics
|July 24, 2007
PubMed
Summary

This study introduces Precedence Temporal Networks (PTN) to reconstruct gene regulatory networks from time-series data. PTN effectively visualizes temporal gene relationships, aiding in understanding biological processes like development and cell cycle regulation.

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Area of Science:

  • Systems Biology
  • Bioinformatics
  • Computational Biology

Background:

  • Reconstructing gene regulatory networks from gene expression time series is a significant challenge.
  • Automated extraction of temporal relationships (precedence and synchronization) between genes is crucial for network analysis.

Purpose of the Study:

  • To introduce Precedence Temporal Networks (PTN), a novel method for extracting and visualizing temporal relationships between genes.
  • To address the challenge of automated extraction of precedence and synchronization in gene expression time series.

Main Methods:

  • Developed Precedence Temporal Networks (PTN), a specialized temporal network approach.
  • Nodes in PTN represent temporal gene expression patterns.
  • Edges in PTN signify precedence or synchronization relationships between these patterns.

Main Results:

  • PTN successfully reconstructed temporal relationships in gene expression data.
  • Applied to Dictyostelium discoideum development and human cell cycle regulation.
  • Highlighted distinct developmental and cell cycle stages through network visualization.

Conclusions:

  • PTN is a capable method for reconstructing and visualizing gene regulatory networks from time-series expression data.
  • The method effectively captures the timing and relationships of gene sets.
  • PTN aids in understanding complex biological processes by revealing temporal dynamics.