Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Leaky Scanning02:28

Leaky Scanning

5.0K
During most eukaryotic translation processes, the small 40S ribosome subunit scans an mRNA from its 5' end until it encounters the first start AUG codon. The large 60S ribosomal subunit then joins the smaller one to initiate protein synthesis. The location of the translation initiation is largely determined by the nucleotides near the start codon as there may be multiple translation initiation sites present on the mRNA.  Marilyn Kozak discovered that the sequence RCCAUGG (where R...
5.0K
From DNA to Protein03:06

From DNA to Protein

17.9K
The flow of genetic information in cells from DNA to mRNA to protein is described by the central dogma, which states that genes specify the sequence of mRNAs, which in turn specify the sequence of amino acids making up all proteins. The decoding of one molecule to another is performed by specific proteins and RNAs. Because the information stored in DNA is so central to cellular function, it makes intuitive sense that the cell would make mRNA copies of this information for protein synthesis...
17.9K
The Central Dogma01:25

The Central Dogma

123.0K
Overview
123.0K
Improving Translational Accuracy02:07

Improving Translational Accuracy

8.5K
Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...
8.5K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Assessing Metal Ion Assignment Accuracy in Protein Data Bank Models via Elemental Spectroscopy.

Journal of chemical information and modeling·2026
Same author

Elevator mechanism dynamics in a sodium-coupled dicarboxylate transporter.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same author

Fast-Relaxing Modified Gellan Gum and Silk Fibroin-Based Hydrogel Enhancing Cellular Behavior and Paracrine Effects of Mesenchymal Stem Cells.

ACS applied bio materials·2025
Same author

Base composition at the start of the coding sequence controls the balance between translation initiation and mRNA degradation in E. coli.

Nucleic acids research·2025
Same author

Are Bacterial Processes Dependent on Global Ribosome Pausing Affected by tRNA Modification Defects?

Journal of molecular biology·2025
Same author

Evaluation of calcium phosphate-coated polycaprolactone/graphene oxide scaffold with macro- and microporous structure for bone tissue engineering.

In vitro models·2025

Related Experiment Video

Updated: May 20, 2025

The Multifaceted Benefits of Protein Co-expression in Escherichia coli
12:48

The Multifaceted Benefits of Protein Co-expression in Escherichia coli

Published on: February 5, 2015

11.9K

OPT: Codon optimize gene sequences for E. coli protein overexpression.

Daniel P H Wong1, Kam-Ho Wong2, Sunjae Park2

  • 1Physics Department, Williams College, Williamstown, MA 01267, USA.

Journal of Molecular Biology
|March 26, 2025
PubMed
Summary
This summary is machine-generated.

Optimizing gene sequences enhances protein expression for biotechnology. A new model predicts and improves protein yield in E. coli, validated by high yields for commercial proteins.

Keywords:
protein productionsynonymous codons

More Related Videos

Identifying Amino Acid Overproducers Using Rare-Codon-Rich Markers
10:41

Identifying Amino Acid Overproducers Using Rare-Codon-Rich Markers

Published on: June 24, 2019

7.5K
Targeting Cysteine Thiols for in Vitro Site-specific Glycosylation of Recombinant Proteins
11:25

Targeting Cysteine Thiols for in Vitro Site-specific Glycosylation of Recombinant Proteins

Published on: October 4, 2017

6.5K

Related Experiment Videos

Last Updated: May 20, 2025

The Multifaceted Benefits of Protein Co-expression in Escherichia coli
12:48

The Multifaceted Benefits of Protein Co-expression in Escherichia coli

Published on: February 5, 2015

11.9K
Identifying Amino Acid Overproducers Using Rare-Codon-Rich Markers
10:41

Identifying Amino Acid Overproducers Using Rare-Codon-Rich Markers

Published on: June 24, 2019

7.5K
Targeting Cysteine Thiols for in Vitro Site-specific Glycosylation of Recombinant Proteins
11:25

Targeting Cysteine Thiols for in Vitro Site-specific Glycosylation of Recombinant Proteins

Published on: October 4, 2017

6.5K

Area of Science:

  • Biotechnology
  • Molecular Biology
  • Bioinformatics

Background:

  • High-level protein overexpression is crucial for biotechnology but is often limited by sequence compatibility.
  • Previous analysis of 6,384 gene constructs identified sequence features and mRNA folding stability affecting protein yield.

Purpose of the Study:

  • To develop a predictive model for protein yield during overexpression in E. coli.
  • To create an optimized synonymous gene sequence generator for enhanced protein expression.
  • To experimentally validate the efficacy of optimized constructs for commercially relevant proteins.

Main Methods:

  • Analysis of sequence features and mRNA folding stability across a large dataset of gene constructs.
  • Development of a computational model to predict protein yield.
  • Implementation of the OPT.williams.edu server for prediction and sequence optimization.
  • Experimental validation of optimized constructs for eight commercial proteins.

Main Results:

  • A predictive model for protein yield was successfully developed.
  • The OPT.williams.edu server accurately predicts protein expression levels and generates optimized sequences.
  • Experimental results confirmed high protein yields for optimized constructs of commercially produced proteins.

Conclusions:

  • Sequence optimization is a viable strategy to significantly improve protein expression yields in E. coli.
  • The OPT server provides a valuable tool for researchers and biotechnologists seeking to maximize protein production.
  • This work demonstrates a data-driven approach to overcoming expression limitations in protein engineering.