Researchers from several Parisian institutions have worked together to develop a non-destructive approach to study how unicellular organisms respond to stress, focusing on cell-to-cell differences.

A comprehensive review article titled “Bioinformatics perspectives on transcriptomics: A comprehensive review of bulk and single-cell RNA sequencing analyses,” published in Quantitative Biology, ...

A new AI framework estimates how cells change over time and infers the gene regulatory networks controlling those changes.

Much more difficult is learning to connect different types of stimuli or events, and predicting that one is linked to another. Such associative learning was most famously demonstrated when Ivan Pavlov ...

Single-cell RNA-seq (scRNA-seq) has spent the past decade maturing into a foundational technology. Over that time, the technology has both laid the foundation for building cell atlases and allowed ...

A giant, single-celled organism with no brain, neurons, or nervous system has demonstrated an advanced form of learning previously thought impossible for a solitary cell. The organism is Stentor ...

While bulk sequencing quickly became the preferred method, scRNA-seq has increased in popularity in the last decade. In 2015, just 6 % of RNA-seq papers used single-cell methodologies. By 2025, the ...