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Related Concept Videos

What is Gene Expression?01:42

What is Gene Expression?

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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.
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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...
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Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when...
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Chromatin Position Affects Gene Expression02:35

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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...
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Related Experiment Video

Updated: Jan 27, 2026

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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Prediction of Gene Expression Patterns With Generalized Linear Regression Model.

Shuai Liu1,2, Mengye Lu2, Hanshuang Li3,4

  • 1College of Information Science and Engineering, Hunan Normal University, Changsha, China.

Frontiers in Genetics
|March 20, 2019
PubMed
Summary

This study clarifies the quantitative link between Oct4 binding intensity and target gene expression. A new model reveals how Oct4’s binding affects gene expression during cell development.

Keywords:
Oct4cell reprogrammingcombination intensitygene expression patterngeneralized linear regression modelpredictiontranscription factor binding site (TFBS)

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Area of Science:

  • Biochemistry
  • Molecular Biology
  • Genetics

Background:

  • Cell reprogramming is vital for regenerative medicine and drug discovery.
  • Oct4, a key pluripotency factor, influences gene expression through binding intensity.
  • The precise relationship between Oct4 binding and target gene expression remains unclear.

Purpose of the Study:

  • To develop a quantitative model predicting gene expression based on Oct4 binding intensity.
  • To analyze the relationship between Oct4 binding and gene expression across cell development stages.
  • To classify these relationships into high and low levels.

Main Methods:

  • Generalized linear regression was employed to model gene expression.
  • Training data included Oct4 binding intensity and target gene expression from various cell development stages.
  • The model analyzed quantitative relationships and classified them by developmental stage.

Main Results:

  • Oct4 binding height negatively impacts inhibited gene expression exponentially over time.
  • Oct4 binding width positively impacts promoted gene expression logarithmically over time.
  • The developed model demonstrated a high goodness of fit.

Conclusions:

  • A quantitative framework for understanding Oct4's role in gene regulation was established.
  • This model provides insights into cell reprogramming mechanisms.
  • The findings contribute to advancements in regenerative medicine and biotechnology.