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The Library of Integrated Network-Based Cellular Signatures (LINCS) is an NIH Common Fund program that catalogs how human cells globally respond to chemical, genetic, and disease perturbations. Resources generated by LINCS include experimental and computational methods, visualization tools, molecular and imaging data, and signatures. By assembling an integrated picture of the range of responses of human cells exposed to many perturbations, the LINCS program aims to better understand human disease and to advance the development of new therapies. Perturbations under study include drugs, genetic perturbations, tissue micro-environments, antibodies, and disease-causing mutations. Responses to perturbations are measured by transcript profiling, mass spectrometry, cell imaging, and biochemical methods, among other assays. The LINCS program focuses on cellular physiology shared among tissues and cell types relevant to an array of diseases, including cancer, heart disease, and neurodegenerative disorders. This Perspective describes LINCS technologies, datasets, tools, and approaches to data accessibility and reusability.

A complex consisting of the cyclin-dependent kinase (CDK) PHO85 and the cyclin PHO80 phosphorylates and is thought to inactivate the transcription factor PHO4 when yeast cells are grown in medium containing high concentrations of phosphate. The CDK inhibitor PHO81 inhibits the kinase activity of the PHO80-PHO85 complex when Saccharomyces cerevisiae cells are grown in medium depleted of phosphate. A region of PHO81 with similarity to the mammalian CDK inhibitor p16INK4 is sufficient for inhibition in vitro. These studies demonstrate that CDK inhibitors are used to regulate kinases involved in processes other than cell cycle control and suggest that the ankyrin repeat motif may be commonly used for interaction with cyclin-CDK complexes.

Graphical Abstract Highlights d Implementing FAIR data standards requires identification of experimental confounders d Five labs performed the same experiment on mammalian cells and compared results d Several factors affecting reproducibility were explored d Biological context had an unexpected impact on the robustness of cell-based assays

SUMMARY A limited set of T cell receptor (TCR) variable (V) gene segments are used to create a repertoire of TCRs that recognize all major histocompatibility complex (MHC) ligands within a species. How individual αβTCRs are constructed to specifically recognize a limited set of MHC ligands is unclear. Here we have identified a role for the differential paring of particular V gene segments in creating TCRs that recognized MHC class II ligands exclusively, or cross-reacted with classical and non-classical MHC class I ligands. Biophysical and structural experiments indicated TCR specificity for MHC ligands is not driven by germline encoded pairwise interactions. Rather, identical TCRβ chains can have altered peptide-MHC (pMHC) binding modes when paired with different TCRα chains. The ability of TCR chain pairing to modify how V region residues interact with pMHC helps to explain how the same V genes are used to create TCRs specific for unique MHC ligands.