Introduction Predicting the clinical course of breast cancer is often difficult because it is a
diverse disease comprised of many biological subtypes. Gene expression profiling by …

We present a powerful experimental-computational technology for inferring network models
that predict the response of cells to perturbations, and that may be useful in the design of …

We describe an experimental method of three-dimensional (3D) structure determination that
exploits the increasing ease of high-throughput mutational scans. Inspired by the success of …

In cancer genomics, recurrence of mutations in independent tumor samples is a strong
indicator of functional impact. However, rare functional mutations can escape detection by …

The TRIM family of genes is largely studied because of their roles in development, differentiation
and host cell antiviral defenses; however, roles in cancer biology are emerging. Loss of …

We report a technique to selectively and continuously label the proteomes of individual cell
types in coculture, named cell type–specific labeling using amino acid precursors (CTAP). …

Natural evolution encodes rich information about the structure and function of biomolecules
in the genetic record. Previously, statistical analysis of co-variation patterns in natural protein …

The past decade has seen the publication of a large number of cell-cycle microarray studies
and many more are in the pipeline. However, data from these experiments are not easy to …

Cell division involves a complex series of events orchestrated by thousands of molecules.
To study this process, researchers have employed mRNA expression profiling of …

Designing optimized proteins is important for a range of practical applications. Protein design
is a rapidly developing field that would benefit from approaches that enable many changes …