mRNA Not Equal in All Cells

Scientists identify a false assumption of standard gene expression analyses that could lead to the reappraisal of many prior studies.

Written byDan Cossins
| 2 min read

Register for free to listen to this article
Listen with Speechify
0:00
2:00
Share

Wikimedia, GuillomThe common belief that cells have similar total amounts of messenger RNA (mRNA)—a notion that underpins researchers’ interpretations of global gene expression analyses—is not true, according to a report out this week (October 25) in Cell. Gene expression analysis is now one of the most commonly used methods in biology, and the findings could call into question the interpretation of a broad range of published studies.

Researchers led by Richard Young at the Whitehead Institute for Biological Research in Cambridge, Massachusetts, found that aggressive cancer cells produce several times more RNA than other cells. Moreover, three different commonly used methods for gene expression analysis—DNA microarrays, RNA sequencing, and digital molecular barcoding—masked these differences.

“We then realized that the common assumption that cells contain similar levels of mRNA is badly flawed and can lead to serious misinterpretations,” Jakob Lovén, a postdoc in Young’s lab, said in a press release. Thus, expression data being used to gain insights into cancer cell behavior and regulation should be interpreted with caution.

Indeed, the study may lead biologists to reappraise old research that relied on gene expression analysis, if that proves possible, said David Orlando, another ...

Interested in reading more?

Become a Member of

The Scientist Logo
Receive full access to more than 35 years of archives, as well as TS Digest, digital editions of The Scientist, feature stories, and much more!
Already a member? Login Here

Related Topics

Meet the Author

Share
July Digest 2025
July 2025, Issue 1

What Causes an Earworm?

Memory-enhancing neural networks may also drive involuntary musical loops in the brain.

View this Issue
Genome Modeling and Design: From the Molecular to Genome Scale

Genome Modeling and Design: From the Molecular to Genome Scale

Twist Bio 
Screening 3D Brain Cell Cultures for Drug Discovery

Screening 3D Brain Cell Cultures for Drug Discovery

DNA and pills, conceptual illustration of the relationship between genetics and therapeutic development

Multiplexing PCR Technologies for Biopharmaceutical Research

Thermo Fisher Logo
Discover how to streamline tumor-infiltrating lymphocyte production.

Producing Tumor-infiltrating Lymphocyte Therapeutics

cytiva logo

Products

The Scientist Placeholder Image

Sino Biological Sets New Industry Standard with ProPure Endotoxin-Free Proteins made in the USA

sartorius-logo

Introducing the iQue 5 HTS Platform: Empowering Scientists  with Unbeatable Speed and Flexibility for High Throughput Screening by Cytometry

parse_logo

Vanderbilt Selects Parse Biosciences GigaLab to Generate Atlas of Early Neutralizing Antibodies to Measles, Mumps, and Rubella

shiftbioscience

Shift Bioscience proposes improved ranking system for virtual cell models to accelerate gene target discovery