Transposable elements (TEs), such as retrotransposons and endogenous retroviruses, are increasingly recognized for their important roles in genome function and impact on disease development. Residing ...

Luebbert et al. present a method to detect viral sequences in bulk and single-cell transcriptomic data using conserved amino acid domains instead of annotated reference genomes.

Transverse section of a hind leg muscle of a 6-month-old mouse showing GFP gene expression following delivery by an adeno-associated virus 8 vector (tibia and fibula bones and muscle cell nuclei are ...

Protein language models learn from diverse sequences spanning the evolutionary tree and have proven to be powerful tools for sequence design, variant effect prediction and structure prediction. What ...

Response to ‘Non-profits wade in where for-profit life science investment fears to tread’ Marc Reichel Eva M. Murauer Hubert Trübel ...

Single-cell proteomics maps protein dynamics in the developing human brain.

Engineered cellular immunotherapy shows great potential for treating autoimmune diseases. Payne and colleagues review emerging clinical data of the most recently developed technologies. Hughes and ...

Munger et al. show that infection with human cytomegalovirus upregulates fatty acid biosynthesis and that pharmacological inhibition of this pathway inhibits replication of both this virus and ...

A model of two zinc-finger nucleases bound to DNA overlaid on an image of a metaphase chromosome spread. The side chains shown are key to the dimer interface of the cleavage domains, according to ...

An illustration of lipid nanoparticles (green circles) targeting the lung, designed using neural networks. Witten et al. present a method (LiON) using neural networks for lipid discovery and ...

The painting Histone Subunit Exchange portrays the dynamic nature of nucleosome structure. This issue focuses on the role of epigenetics in health and disease and discusses the therapeutic prospects ...

Ovrlpy identifies overlapping cell signals in the vertical dimension of spatial transcriptomics data.