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Cell Specific Gene Expression01:58

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 Expression01:58

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...
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...
Constitutive and Regulated Gene Expression01:27

Constitutive and Regulated Gene Expression

Gene expression in prokaryotes is governed by constitutive and regulated systems, allowing cells to balance the production of essential proteins with adaptive responses to environmental changes.Constitutive Gene ExpressionConstitutive, or housekeeping, genes are continuously expressed as they encode proteins vital for fundamental cellular processes. These include enzymes for glycolysis, ribosomal components for protein synthesis, and proteins involved in DNA replication. Their constant...
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...

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  1. Home
  3. Highly Constrained Kinetic Models For Single-cell Gene Expression Analysis.
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  3. Highly Constrained Kinetic Models For Single-cell Gene Expression Analysis.

Related Experiment Video

A Combinatorial Single-cell Approach to Characterize the Molecular and Immunophenotypic Heterogeneity of Human Stem and Progenitor Populations
09:34

A Combinatorial Single-cell Approach to Characterize the Molecular and Immunophenotypic Heterogeneity of Human Stem and Progenitor Populations

Published on: October 25, 2018

Highly Constrained Kinetic Models for Single-Cell Gene Expression Analysis.

Hyeon Jin Cho1,2, Christopher H Bohrer2, Pawel Trzaskoma3

  • 1Department of Cell Biology and Molecular Genetics, University of Maryland, College Park, MD, USA.

Biorxiv : the Preprint Server for Biology
|June 5, 2026

View abstract on PubMed

Summary
This summary is machine-generated.

A new kinetic model integrates single-cell RNA sequencing and imaging data to study gene transcription dynamics. This model reveals that 3-state models offer improved insights into gene regulation and transcription factor mechanisms.

Keywords:
Stochastic modelingkinetic proofreadingtranscription burstingtranscription dynamics

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Area of Science:

  • Molecular Biology
  • Systems Biology
  • Biophysics

Background:

  • Single-cell RNA sequencing (scRNA-seq) and single-molecule tracking (SMT) offer high-resolution views of cellular processes.
  • Integrating these techniques into a unified model for gene transcription dynamics remains a challenge.

Purpose of the Study:

  • To develop a kinetic model integrating diverse datasets for simulating gene transcription.
  • To compare the efficacy of 3-state versus 2-state models in describing gene transcription.
  • To uncover conserved regulatory principles and transcription factor mechanisms.

Main Methods:

  • Development of a novel kinetic model for gene transcription.
  • Integration of steady-state and time-resolved experimental data.
  • Application of the model to single-cell RNA sequencing (scRNA-seq) datasets.

Main Results:

  • A 3-state model significantly improves upon the traditional 2-state model for gene transcription.
  • Identification of two conserved dimensionless quantities from rate equations.
  • Inference of kinetic rates and biochemical insights into transcription factor action.

Conclusions:

  • The proposed kinetic model provides a powerful framework for analyzing gene transcription dynamics.
  • 3-state models offer advantages, including kinetic proofreading, for cellular gene regulation.
  • The model facilitates the study of transcription factor mechanisms and responses to perturbations.