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

Ribosome Profiling02:24

Ribosome Profiling

4.0K
Ribosome profiling or ribo-sequencing is a deep sequencing technique that produces a snapshot of active translation in a cell. It selectively sequences the mRNAs protected by ribosomes to get an insight into a cell’s translation landscape at any given point in time.
Applications of ribosome profiling
Ribosome profiling has many applications, including in vivo monitoring of translation inside a particular organ or tissue type and quantifying new protein synthesis levels.
The technique...
4.0K

You might also read

Related Articles

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

Sort by
Same author

SIFD-associated TRNT1 deficiency unveils importance of TSPO during macrophage antibacterial and antiviral responses.

Frontiers in immunology·2025
Same author

Hydrogen peroxide sensitivity connects the activity of COX5A and NPR3 to the regulation of YAP1 expression.

FASEB journal : official publication of the Federation of American Societies for Experimental Biology·2024
Same author

TRNT-1 Deficiency Is Associated with Loss of tRNA Integrity and Imbalance of Distinct Proteins.

Genes·2023
Same author

A Correlation between 3'-UTR of <i>OXA1</i> Gene and Yeast Mitochondrial Translation.

Journal of fungi (Basel, Switzerland)·2023
Same author

Mitochondrial disease registries worldwide: A scoping review.

PloS one·2022
Same author

Lithium Chloride Sensitivity in Yeast and Regulation of Translation.

International journal of molecular sciences·2020
Same journal

Tissue MicroRNAs in Arrhythmogenic Cardiomyopathy: A Systematic Review of Studies in Human Myocardium and Animal Models with Implications for Post-Mortem Molecular Diagnostics.

Genes·2026
Same journal

Genetic Variants and Dental Caries Susceptibility: An Umbrella Review and Multilevel Meta-Analysis.

Genes·2026
Same journal

Generative AI and Language Models in Human Genetics and Health: From Variant Interpretation to Clinical Decision Support.

Genes·2026
Same journal

Familial White-Sutton Syndrome Caused by a Pathogenic POGZ p.Arg508* Variant: Intrafamilial Variability from Childhood to Adulthood.

Genes·2026
Same journal

Genetic Influence on LDL-Cholesterol Levels: Role of Polygenic Risk Scores and Lp(a) Beyond Monogenic Hypercholesterolemia.

Genes·2026
Same journal

THBS1 as a Key Regulator of Myoblasts: Validation of Its Inhibitory Roles in Skeletal Muscle Development.

Genes·2026
See all related articles

Related Experiment Video

Updated: Jan 10, 2026

Quantification of the Abundance and Charging Levels of Transfer RNAs in Escherichia coli
10:34

Quantification of the Abundance and Charging Levels of Transfer RNAs in Escherichia coli

Published on: August 22, 2017

9.8K

Cost-Effective Method for Using Cross-Species Spike-In RNA for Normalization and Quantification in Polysome Profiling

Krishna Bhattarai1, Angelo Slade1, Martin Holcik1

  • 1Department of Health Science, Carleton University, Ottawa, ON K1S 5B6, Canada.

Genes
|November 27, 2025
PubMed
Summary
This summary is machine-generated.

Cross-species total RNA, like yeast RNA, serves as a cost-effective spike-in control for RNA quantification in experiments such as RT-qPCR. This method ensures reliable results without interfering with endogenous RNA measurements.

Keywords:
Bcl-xLhypertonic stresspolysome profilingspike-in RNA control

More Related Videos

Assessment of Selective mRNA Translation in Mammalian Cells by Polysome Profiling
10:00

Assessment of Selective mRNA Translation in Mammalian Cells by Polysome Profiling

Published on: October 28, 2014

28.8K
Polysome Profiling without Gradient Makers or Fractionation Systems
05:56

Polysome Profiling without Gradient Makers or Fractionation Systems

Published on: June 1, 2021

6.1K

Related Experiment Videos

Last Updated: Jan 10, 2026

Quantification of the Abundance and Charging Levels of Transfer RNAs in Escherichia coli
10:34

Quantification of the Abundance and Charging Levels of Transfer RNAs in Escherichia coli

Published on: August 22, 2017

9.8K
Assessment of Selective mRNA Translation in Mammalian Cells by Polysome Profiling
10:00

Assessment of Selective mRNA Translation in Mammalian Cells by Polysome Profiling

Published on: October 28, 2014

28.8K
Polysome Profiling without Gradient Makers or Fractionation Systems
05:56

Polysome Profiling without Gradient Makers or Fractionation Systems

Published on: June 1, 2021

6.1K

Area of Science:

  • Molecular Biology
  • Genomics
  • Biochemistry

Background:

  • Accurate RNA quantification is essential for molecular biology techniques like RT-qPCR and polysome profiling.
  • Conventional spike-in controls (in vitro mRNA, ERCC mixes) are costly and time-consuming, limiting their accessibility.
  • There is a need for economical and reliable RNA controls in experimental settings.

Purpose of the Study:

  • To evaluate the efficacy of cross-species total RNA as a cost-effective spike-in control.
  • To assess the impact of yeast RNA as a spike-in on RNA quantification accuracy and reproducibility in human cell experiments.
  • To validate the method in a specific application, such as assessing mRNA translation efficiency under stress.

Main Methods:

  • Developed a method utilizing yeast total RNA as a spike-in control for human cell-based RNA assays.
  • Tested the yeast RNA spike-in across various RNA-based experiments, including RT-qPCR and polysome profiling.
  • Applied the method to investigate Bcl-xL mRNA translation efficiency during hypertonic stress.

Main Results:

  • Cross-species spike-in RNA showed minimal interference with experimental results and provided consistent normalization.
  • Yeast RNA spike-in enabled accurate fold-change calculations and better detection of experimental variability.
  • The spike-in control facilitated reliable assessment of Bcl-xL mRNA translation efficiency under stress conditions.

Conclusions:

  • Total RNA from a non-related species presents a practical and economical alternative to traditional spike-in controls.
  • This approach improves RNA quantification reliability without compromising experimental integrity.
  • The method is particularly beneficial for resource-limited laboratories and essential for polysome and RT-qPCR workflows.