An innovative new technique developed at HHMI's Janelia Research Campus uses a novel DNA barcode system to track hundreds of RNA and protein molecules in single cells within thick biological ...

Background The rapid advancement of single-cell and single-nucleus RNA sequencing (sc/snRNA-seq) has opened unprecedented ...

The binding of proteins to DNA is crucial for producing other proteins, ensuring that all the necessary processes in cells ...

In modern functional genomics, understanding how specific genes control cellular behavior requires both targeted intervention and high-resolution analysis. That''s where Perturb-Seq comes in-a method ...

Single-cell RNA sequencing of thousands of yeast progeny reveals how gene expression differences and heritability drive phenotypic diversity.

Researchers at Tsinghua University have released a novel Python toolkit, scLT-kit, which automates the processing and analysis of single-cell lineage tracing data, delivering clear insights into how ...

A game-changing, microfluidics-free, sample-to-insights, single-cell workflow expands the breadth of single-cell sequencing experiments with minimal investment.

Lightcast is developing a flexible, accessible platform to accelerate single-cell, functional analysis at scale. By consolidating multiple, complex assays into intuitive streamlined workflows we are ...

More information: Verena Körber et al, Detecting and quantifying clonal selection in somatic stem cells, Nature Genetics (2025). DOI: 10.1038/s41588-025-02217-y ...

More information: Longji Zhu et al, Open-set deep learning–enabled single-cell Raman spectroscopy for rapid identification of airborne pathogens in real-world environments, Science Advances (2025).