Understanding how genes control biological processes is a fundamental goal of genetics. One powerful way to study this is by systematically turning genes on or off and measuring how other genes respond. However, doing this in whole living organisms has been a major challenge. Researchers from the University of Massachusetts Chan Medical School have developed a groundbreaking approach called Worm Perturb-Seq (WPS) to tackle this problem.

What Is Worm Perturb-Seq?

Worm Perturb-Seq is a new technique that allows scientists to study how hundreds of genes influence the transcriptome—the complete set of RNA molecules in a cell or organism—simultaneously. The transcriptome provides a molecular snapshot of how genes are being expressed, and RNA sequencing (RNA-seq) is the primary tool used to analyze it.

Traditionally, scientists use either bulk RNA-seq, which captures an average gene expression profile across many cells, or single-cell RNA-seq, which provides high-resolution data but can be costly and technically demanding. WPS combines the best of both approaches by using high-throughput RNA interference (RNAi) to silence genes in large numbers of worms, followed by RNA sequencing to analyze the effects.

Worm Perturb-Seq (WPS) overview

a, Overview of the WPS pipeline. This figure was created with BioRender.com. b, WPS optimization highlights.

A Smarter Way to Identify Gene Changes

One of the most exciting aspects of WPS is its analytical framework called EmpirDE. Instead of comparing gene expression changes only to a control sample, EmpirDE builds gene-specific “null distributions,” which account for natural variability and technical biases. This allows for more accurate detection of differentially expressed genes (DEGs)—genes that change their activity in response to a perturbation.

Applying WPS to Gene Regulation

The researchers tested WPS by targeting 103 nuclear hormone receptors (NHRs) in Caenorhabditis elegans (a commonly used model organism). Their analysis revealed a gene regulatory network (GRN) with an interesting property called pairwise modularity, meaning that pairs of NHRs often regulate the same target genes together. This suggests that many genes work in coordinated pairs rather than acting independently.

Why This is Important

This study demonstrates that WPS is a powerful tool for studying gene regulation, not just in C. elegans, but potentially in human cells as well. By providing a systematic and scalable way to link genetic changes to transcriptomic responses, WPS could accelerate discoveries in genetics, disease research, and drug development.