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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.
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Regulation of Expression Occurs at Multiple Steps02:24

Regulation of Expression Occurs at Multiple Steps

Gene expression can be regulated at almost every step from gene to protein. Transcription is the step that is most commonly regulated. This involves the binding of proteins to short regulatory sequences on the DNA. This association can either promote or inhibit the transcription of a gene associated with the respective sequence.
Transcription results in the generation of precursor (pre-mRNA) that consists of both exons and introns, which needs further processing before being translated to a...
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Ribosome Profiling

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Regulated mRNA Transport02:22

Regulated mRNA Transport

In eukaryotes, transcription and translation are compartmentalized; an mRNA is first synthesized in the nucleus and then selectively transported to the cytoplasm for protein synthesis. Before transport, a pre-mRNA undergoes several steps of post-transcriptional modifications including splicing, 5' capping, and the addition of a poly-adenine tail. Various proteins bind to the pre-mRNA during these modifications. The mRNA transport takes place with the help of multiple proteins playing specific...
Regulated mRNA Transport02:22

Regulated mRNA Transport

In eukaryotes, transcription and translation are compartmentalized; an mRNA is first synthesized in the nucleus and then selectively transported to the cytoplasm for protein synthesis. Before transport, a pre-mRNA undergoes several steps of post-transcriptional modifications including splicing, 5' capping, and the addition of a poly-adenine tail. Various proteins bind to the pre-mRNA during these modifications. The mRNA transport takes place with the help of multiple proteins playing specific...
Nucleic Acid Structure01:25

Nucleic Acid Structure

The pentose sugar in DNA is deoxyribose, while in RNA the pentose sugar is ribose. The difference between the sugars is the presence of the hydroxyl group on the ribose's second carbon and a hydrogen on the deoxyribose's second carbon. The phosphate residue attaches to the hydroxyl group of the 5′ carbon of one sugar and the hydroxyl group of the 3′ carbon of the sugar of the next nucleotide, which forms  a 5′ to 3′ phosphodiester linkage.
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Updated: May 19, 2026

Using In Vitro and In-cell SHAPE to Investigate Small Molecule Induced Pre-mRNA Structural Changes
11:58

Using In Vitro and In-cell SHAPE to Investigate Small Molecule Induced Pre-mRNA Structural Changes

Published on: January 30, 2019

Cell Growth and Division Shape mRNA-Protein Correlations.

Kuheli Biswas1, Michael Sheinman1, Leonardo A Sepúlveda2,3,4

  • 1Department of Physics of Complex Systems, Weizmann Institute of Science, Rehovot, Israel.

Biorxiv : the Preprint Server for Biology
|May 18, 2026
PubMed
Summary
This summary is machine-generated.

Cellular mRNA-protein correlations are altered by cell growth and division. A new theoretical framework accounts for these dynamics, resolving discrepancies in previous models and aligning with experimental data.

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Last Updated: May 19, 2026

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Area of Science:

  • Molecular and Cellular Biology
  • Systems Biology
  • Biophysics

Background:

  • Correlations between cellular variables, like gene expression, offer insights into regulatory mechanisms.
  • Previous analytical predictions for mRNA-protein correlations assumed constant cell volume, leading to discrepancies with experimental data.

Purpose of the Study:

  • To re-examine and test analytical predictions for mRNA-protein correlations.
  • To develop a theoretical framework incorporating cell growth and division to explain observed discrepancies.
  • To derive a new analytical expression for mRNA-protein correlations in dynamic cellular environments.

Main Methods:

  • Testing existing predictions on single-cell *E. coli* data.
  • Developing a theoretical framework for mRNA-protein correlations in growing and dividing cells.
  • Deriving an analytical expression for these correlations and validating it using stochastic simulations.

Main Results:

  • Substantial disagreement was observed when testing previous predictions on *E. coli* data.
  • The new theoretical framework, incorporating cell growth and division, significantly alters mRNA-protein correlations.
  • The derived relation is invariant to upstream transcriptional dynamics and validated through simulations.

Conclusions:

  • The assumption of constant cell volume is a key limitation in previous models of mRNA-protein correlations.
  • Explicitly including cell growth and division provides a more accurate theoretical framework.
  • The new predictions are consistent with experimental *E. coli* data, improving our understanding of gene expression regulation.