Recent advances in single-cell technologies have enabled high-throughput molecular
profiling of cells across modalities and locations. Single-cell transcriptomics data can now …

The interplay between chromatin, transcription factors and genes generates complex
regulatory circuits that can be represented as gene regulatory networks (GRNs). The study …

Generative pretrained models have achieved remarkable success in various domains such
as language and computer vision. Specifically, the combination of large-scale diverse …

Several genetic risk factors for Alzheimer's disease implicate genes involved in lipid
metabolism and many of these lipid genes are highly expressed in glial cells. However, the …

Microglial research has advanced considerably in recent decades yet has been constrained
by a rolling series of dichotomies such as" resting versus activated" and" M1 versus M2." …

Single-cell technologies, particularly single-cell RNA sequencing (scRNA-seq) methods,
together with associated computational tools and the growing availability of public data …

In the past decade, single-cell technologies have proliferated and improved from their
technically challenging beginnings to become common laboratory methods capable of …

Single‐cell RNA sequencing (scRNA‐seq) technology has become the state‐of‐the‐art
approach for unravelling the heterogeneity and complexity of RNA transcripts within …

CRISPR screens are a powerful source of biological discovery, enabling the unbiased
interrogation of gene function in a wide range of applications and species. In pooled …

The COVID-19 pandemic is an ongoing global health threat, yet our understanding of the
dynamics of early cellular responses to this disease remains limited. Here in our SARS-CoV …