Skip to main content
Premium Trial:

Request an Annual Quote

MICROARRAYS Translation Takes on Transcription

Premium

Kyle Serikawa is familiar with the debates on whether transcription measurements accurately reflect protein levels, and he’s weighing in. Serikawa, a research scientist at the University of Washington, contends that studying translation throughout the cell cycle may be a far better way to make predictions.

The process is called translation state array analysis, which uses microarrays to measure mRNA expression levels at various times. Serikawa, who’s collaborating with Ruedi Aebersold’s lab at the Institute for Systems Biology, says there are two main uses for the method. One: “to get a general idea of how well translated all the messages are at any given time point under any given condition,” and two: to compare cells grown under condition A to cells under condition B.

Translation state analysis was originally used on mouse and human genes, but most of Serikawa’s experiments now are on yeast because it’s easier to manipulate. Eventually, he plans to return to mammalian systems.

The drawback of Serikawa’s plan is that he proposes studying RNA at 25 points across the translation cycle, which means 25 times more arrays than are used in basic transcription analyses. But if Serikawa’s right, the improved accuracy that’s expected to come from understanding expression across the cycle will prove its worth in more accurate predictions and understanding of protein expression.

— Marian Moser Jones and Meredith Salisbury

 

The Scan

Driving Malaria-Carrying Mosquitoes Down

Researchers from the UK and Italy have tested a gene drive for mosquitoes to limit the spread of malaria, NPR reports.

Office Space to Lab Space

The New York Times writes that some empty office spaces are transforming into lab spaces.

Prion Pause to Investigate

Science reports that a moratorium on prion research has been imposed at French public research institutions.

Genome Research Papers on Gut Microbe Antibiotic Response, Single-Cell RNA-Seq Clues to Metabolism, More

In Genome Research this week: gut microbial response to antibiotic treatment, approach to gauge metabolic features from single-cell RNA sequencing, and more.