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

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 helps...
MicroRNAs01:22

MicroRNAs

MicroRNA (miRNA) are short, regulatory RNA transcribed from introns (non-coding regions of a gene) or intergenic regions (stretches of DNA present between genes). Several processing steps are required to form biologically active, mature miRNA. The initial transcript, called primary miRNA (pri-mRNA), base-pairs with itself, forming a stem-loop structure. Within the nucleus, an endonuclease enzyme, called Drosha, shortens the stem-loop structure into hairpin-shaped pre-miRNA. After the pre-miRNA...
MicroRNAs01:22

MicroRNAs

MicroRNA (miRNA) are short, regulatory RNA transcribed from introns—non-coding regions of a gene—or intergenic regions—stretches of DNA present between genes. Several processing steps are required to form biologically active, mature miRNA. The initial transcript, called primary miRNA (pri-mRNA), base-pairs with itself forming a stem-loop structure. Within the nucleus, an endonuclease enzyme, called Drosha, shortens the stem-loop structure into hairpin-shaped pre-miRNA. After the pre-miRNA ends...
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...
mRNA Stability and Gene Expression02:51

mRNA Stability and Gene Expression

The structure and stability of mRNA molecules regulates gene expression, as mRNAs are a key step in the pathway from gene to protein. In eukaryotes, the half-life of mRNA varies from a few minutes up to several days. mRNA stability is essential in growth and development. The absence of the proteins regulating its stability, such as tristetraprolin in mice, can cause systemic issues, including bone marrow overgrowth, inflammation, and autoimmunity.
Cis-acting Elements involved in mRNA stability
mRNA Stability and Gene Expression02:51

mRNA Stability and Gene Expression

The structure and stability of mRNA molecules regulates gene expression, as mRNAs are a key step in the pathway from gene to protein. In eukaryotes, the half-life of mRNA varies from a few minutes up to several days. mRNA stability is essential in growth and development. The absence of the proteins regulating its stability, such as tristetraprolin in mice, can cause systemic issues, including bone marrow overgrowth, inflammation, and autoimmunity.
Cis-acting Elements involved in mRNA stability

You might also read

Related Articles

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

Sort by
Same author

Correction: Loss of Rictor with aging in osteoblasts promotes age-related bone loss.

Cell death & disease·2026
Same author

Engineering molecular rotor-stator ligand architectures on copper nanoclusters for efficient photothermal conversion.

Nature communications·2026
Same author

Exploring the shared gene signatures between rheumatoid arthritis and type 2 diabetes and their implication for drug repositioning on bioinformatics analysis.

Medicine·2026
Same author

transFusion: a novel comprehensive platform for integration analysis of single-cell and spatial transcriptomics.

Bioinformatics (Oxford, England)·2026
Same author

Tri-modal assessment reveals early visual pathway degeneration in patients with MSA-C.

Neurobiology of disease·2025
Same author

Surface defects in atom-precise copper nanoclusters and their different catalytic efficiencies.

Nanoscale·2025

Related Experiment Video

Updated: Jul 5, 2026

miRNA Expression Analyses in Prostate Cancer Clinical Tissues
11:29

miRNA Expression Analyses in Prostate Cancer Clinical Tissues

Published on: September 8, 2015

How is mRNA expression predictive for protein expression? A correlation study on human circulating monocytes.

Yanfang Guo1, Peng Xiao, Shufeng Lei

  • 1Laboratory of Molecular and Statistical Genetics, College of Life Sciences, Hunan Normal University, Changsha 410081, China.

Acta Biochimica Et Biophysica Sinica
|May 10, 2008
PubMed
Summary

Messenger RNA (mRNA) expression is generally correlated with protein levels, but this relationship is not always precise. Our study in human monocytes reveals moderate and variable correlations, indicating mRNA is a useful but imperfect predictor of protein expression.

More Related Videos

Absolute Quantification of Plasma MicroRNA Levels in Cynomolgus Monkeys, Using Quantitative Real-time Reverse Transcription PCR
10:23

Absolute Quantification of Plasma MicroRNA Levels in Cynomolgus Monkeys, Using Quantitative Real-time Reverse Transcription PCR

Published on: February 12, 2018

Isolation of Small Noncoding RNAs from Human Serum
06:44

Isolation of Small Noncoding RNAs from Human Serum

Published on: June 19, 2014

Related Experiment Videos

Last Updated: Jul 5, 2026

miRNA Expression Analyses in Prostate Cancer Clinical Tissues
11:29

miRNA Expression Analyses in Prostate Cancer Clinical Tissues

Published on: September 8, 2015

Absolute Quantification of Plasma MicroRNA Levels in Cynomolgus Monkeys, Using Quantitative Real-time Reverse Transcription PCR
10:23

Absolute Quantification of Plasma MicroRNA Levels in Cynomolgus Monkeys, Using Quantitative Real-time Reverse Transcription PCR

Published on: February 12, 2018

Isolation of Small Noncoding RNAs from Human Serum
06:44

Isolation of Small Noncoding RNAs from Human Serum

Published on: June 19, 2014

Area of Science:

  • Molecular Biology
  • Genomics
  • Proteomics

Background:

  • A fundamental assumption in molecular biology is that messenger RNA (mRNA) levels accurately reflect protein expression.
  • Existing research on the correlation between mRNA and protein expression in human tissues has yielded inconsistent results.
  • Limited studies have investigated this relationship in specific human cell types, necessitating further investigation.

Purpose of the Study:

  • To investigate the correlation between mRNA and protein expression levels in freshly isolated human circulating monocytes.
  • To determine if mRNA expression can reliably predict protein expression across different biological categories.
  • To assess the overall utility of mRNA as a predictor of protein abundance in human monocytes.

Main Methods:

  • Correlation analyses were performed on mRNA and protein expression data from 30 unrelated women.
  • Protein expression for 71 genes was quantified using 2-D electrophoresis and mass spectrometry.
  • mRNA expression was quantified using Affymetrix gene chips.

Main Results:

  • A significant overall positive correlation (r=0.235, P<0.0001) was found between mRNA and protein expression across all genes and samples.
  • Correlation strength varied by gene ontology categories, with the extracellular region showing high correlation (r=0.643) and regulation genes showing low correlation (r=0.099).
  • While average mRNA and protein levels correlated significantly (r=0.296, P<0.01), only five genes showed significant positive correlation across all individual samples.

Conclusions:

  • There is an overall positive correlation between mRNA and protein expression levels in human monocytes.
  • The moderate and variable nature of these correlations indicates that mRNA expression is a useful but not perfect predictor of protein expression.
  • The findings highlight the complexity of the mRNA-protein relationship and suggest that other regulatory mechanisms influence protein abundance.