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Related Concept Videos

Molecular Factors Affecting Cell Division01:27

Molecular Factors Affecting Cell Division

Several external and internal factors influence the initiation and inhibition of cell division. For instance, the death of nearby cells or the release of human growth hormone (hGH) promotes cell division. In contrast, lack of hGH or crowding of cells can inhibit cell division.
Several proteins function as internal regulators to ensure each cell cycle stage is completed faithfully before proceeding to the next. Regulator molecules may act directly or influence the activity or production of other...
Negative Regulator Molecules01:23

Negative Regulator Molecules

Positive regulators allow a cell to advance through cell cycle checkpoints. Negative regulators have an equally important role as they terminate a cell’s progression through the cell cycle—or pause it—until the cell meets specific criteria.
Positive Regulator Molecules02:39

Positive Regulator Molecules

Mitotic cell division results in daughter cells that exactly resemble the parent cell. However, errors in the DNA replication or distribution of genetic material may lead to genetic mutations that may be passed down to every new cell formed from the resulting abnormal cell. Propagation of such mutant cells is restricted through checkpoint mechanisms present at different stages of the cell cycle. These checkpoints involve regulator molecules that either promote or demote cell cycle events.
Positive Regulator Molecules01:45

Positive Regulator Molecules

To consistently produce healthy cells, the cell cycle—the process that generates daughter cells—must be precisely regulated.
The Cell Cycle Control System01:28

The Cell Cycle Control System

The cell cycle regulation directs how a cell proceeds from one phase to the next and begins mitosis. The cell cycle control system includes intracellular regulatory molecules and external triggers. They provide "stop" or "advance" signals and operate at specific cell cycle stages termed checkpoints to ensure that a particular process is completed before the cell advances to the next phase.
Cyclins and cyclin-dependent kinases (Cdks) are the primary cell cycle regulators and function at the cell...
The Cell Cycle Control System02:11

The Cell Cycle Control System

The cell cycle is an organized set of events that leads the cell to divide into two daughter cells, each containing chromosomes identical to the parent cell. It is the cell cycle that leads to the formation of an entire organism from a single-cell zygote. Besides, cell division also functions in the renewal or repair of tissues in adult multicellular eukaryotes. For example, in the bone marrow, the stem cells divide to form new blood cells. Although essential for several functions, cell...

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Updated: Jun 20, 2026

Studying Cell Cycle-regulated Gene Expression by Two Complementary Cell Synchronization Protocols
12:02

Studying Cell Cycle-regulated Gene Expression by Two Complementary Cell Synchronization Protocols

Published on: June 6, 2017

Predicting cell cycle regulated genes by causal interactions.

Frank Emmert-Streib1, Matthias Dehmer

  • 1Computational Biology and Machine Learning, Center for Cancer Research and Cell Biology, School of Biomedical Sciences, Queen's University Belfast, Belfast, United Kingdom. v@bio-complexity.com

Plos One
|August 19, 2009
PubMed
Summary

This study introduces a novel method to predict cell cycle regulated genes in yeast using transcriptional regulatory networks and causal gene interactions, bypassing time-series data. The approach identifies periodic genes based on network pathways, offering new insights into cellular mechanisms.

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Area of Science:

  • Systems Biology
  • Genomics
  • Computational Biology

Background:

  • Modern biology leverages high-throughput data for genomic-scale molecular interaction insights.
  • Gene networks, such as transcriptional regulatory networks, model cellular system dynamics but require analysis for functional information.

Purpose of the Study:

  • To predict cell cycle regulated genes in Saccharomyces cerevisiae (yeast).
  • To introduce a novel analytical approach for transcriptional regulatory networks that does not rely on time-series data.

Main Methods:

  • Analysis of the yeast transcriptional regulatory network based on prior causal interactions.
  • Utilizing causal gene membership and network hierarchy to identify periodic genes.
  • Predicting periodic genes found on unique shortest paths between periodic genes of different hierarchy levels.

Main Results:

  • Successfully predicted cell cycle regulated genes in yeast.
  • Demonstrated a new perspective on predicting periodic genes by applying causal gene membership concepts.
  • Highlighted the potential of transcriptional regulatory networks for uncovering complex biological information.

Conclusions:

  • The proposed method offers an effective alternative for predicting cell cycle regulated genes without time-series data.
  • Causal gene membership and network structure are key to understanding gene periodicity.
  • Further exploration of transcriptional regulatory networks with advanced concepts can reveal deeper biological insights.