We previously piloted the concept of a Connectivity Map (CMap), whereby genes, drugs, and
disease states are connected by virtue of common gene-expression signatures. Here, we …

Most deaths from cancer are explained by metastasis, and yet large-scale metastasis research
has been impractical owing to the complexity of in vivo models. Here we introduce an in …

While immunologic correlates of COVID-19 have been widely reported, their associations
with post-acute sequelae of COVID-19 (PASC) remain less clear. Due to the wide array of …

Many bioinformatics methods have been proposed for reducing the complexity of large gene
or protein networks into relevant subnetworks or modules. Yet, how such methods compare …

Recent genome sequencing efforts have identified millions of somatic mutations in cancer.
However, the functional impact of most variants is poorly understood. Here we characterize …

The application of RNA interference (RNAi) to mammalian cells has provided the means to
perform phenotypic screens to determine the functions of genes. Although RNAi has …

Cancer genome characterization efforts now provide an initial view of the somatic alterations
in primary tumors. However, most point mutations occur at low frequency, and the function …

Morphological and gene expression profiling can cost-effectively capture thousands of features
in thousands of samples across perturbations by disease, mutation, or drug treatments, …

Despite being extensively characterized structurally and biochemically, the functional role of
histone deacetylase 8 (HDAC8) has remained largely obscure due in part to a lack of …

Although the value of proteomics has been demonstrated, cost and scale are typically prohibitive,
and gene expression profiling remains dominant for characterizing cellular responses …