Three million images and morphological profiles of cells treated with matched chemical and genetic perturbations.

The identification of genetic and chemical perturbations with similar impacts on cell morphology can elucidate compounds' mechanisms of action or novel regulators of genetic pathways. Research on methods for identifying such similarities has lagged due to a lack of carefully designed and well-annotated image sets of cells treated with chemical and genetic perturbations. Here we create such a Resource dataset, CPJUMP1, in which each perturbed gene's product is a known target of at least two chemical compounds in the dataset.

Optimizing the Cell Painting assay for image-based profiling.

In image-based profiling, software extracts thousands of morphological features of cells from multi-channel fluorescence microscopy images, yielding single-cell profiles that can be used for basic research and drug discovery. Powerful applications have been proven, including clustering chemical and genetic perturbations on the basis of their similar morphological impact, identifying disease phenotypes by observing differences in profiles between healthy and diseased cells and predicting assay outcomes by using machine learning, among many others. Here, we provide an updated protocol for the most popular assay for image-based profiling, Cell Painting.

Expanding therapeutic opportunities for neurodegenerative diseases: A perspective on the important role of phenotypic screening.

Over the last 20 years, there have been remarkably few FDA-approved first-in-class drugs for neurodegenerative diseases. Debilitating conditions such as Alzheimer's disease, Parkinson's disease, and amyotrophic lateral sclerosis have no effective disease-modifying therapeutics on the market, signifying an area of high unmet medical need where novel approaches are needed. Using a phenotypic screening approach, two separate groups discovered small molecule non-antisense oligonucleotide splice modulators for spinal muscular atrophy, a severe monogenetic disease that causes the degeneration ofalpha motor neuronsin the spinal cord.

Quantitative Systems Pharmacology for Neuroscience Drug Discovery and Development: Current Status, Opportunities, and Challenges.

The substantial progress made in the basic sciences of the brain has yet to be adequately translated to successful clinical therapeutics to treat central nervous system (CNS) diseases. Possible explanations include the lack of quantitative and validated biomarkers, the subjective nature of many clinical endpoints, and complex pharmacokinetic/pharmacodynamic relationships, but also the possibility that highly selective drugs in the CNS do not reflect the complex interactions of different brain circuits. Although computational systems pharmacology modeling designed to capture essential components of complex biological systems has been increasingly accepted in pharmaceutical research and development for oncology, inflammation, and metabolic disorders, the uptake in the CNS field has been very modest.

GDF11 Increases with Age and Inhibits Skeletal Muscle Regeneration.

Age-related frailty may be due to decreased skeletal muscle regeneration. The role of TGF-β molecules myostatin and GDF11 in regeneration is unclear. Recent studies showed an age-related decrease in GDF11 and that GDF11 treatment improves muscle regeneration, which were contrary to prior studies.

E. coli and insect cell expression, automated purification and quantitative analysis.

The production of recombinant proteins usually involves the exploration of a wide variety of expression and purification methodologies in the pursuit of a strategy tailored to a particular protein. The methods applied are reliant on exploiting individual differences between expression systems or the variations in specific protein properties. These bespoke strategies have not lent themselves to high-throughput methodologies.

Designing experiments for high-throughput protein expression.

The advent of high-throughput protein production and the vast amount of data it is capable of generating has created both new opportunities and problems. Automation and miniaturization allow experimentation to be performed more efficiently, justifying the cost involved in establishing a high-throughput platform. These changes have also magnified the need for effective statistical methods to identify trends and relationships in the data.

Development of a protease production platform for structure-based drug design.

Structure-based drug design (SBDD) has played an integral role in the development of highly specific, potent protease inhibitors resulting in a number of drugs in clinical trials and on the market. Possessing biochemical assays and structural information on both the target protease and homologous family members helps ensure compound selectivity. We have redesigned the path from clone to protein eliminating many of the traditional bottlenecks associated with protein production to ensure a constant supply to feed many diverse protease drug discovery programs.

Screening factors effecting a response in soluble protein expression: formalized approach using design of experiments.

We have integrated high-throughput expression and purification with quantitative protein analysis to identify factors influencing protein production. Application of high-throughput expression and purification, combined with automated gel capillary electrophoresis, allowed the quantitative analysis of multiple expression variables in a single experiment. An experimental design utilizing multiple factorial screens was employed to identify single factors and interactions having a significant impact on expression.

Full-length influenza hemagglutinin HA2 refolds into the trimeric low-pH-induced conformation.

The influenza virus uses hemagglutinin (HA) to fuse the viral and cellular membranes. As part of an effort to study the membrane-interacting elements of HA, the fusion peptide, and the C-terminal transmembrane anchor, we have expressed in Escherichia coli the full-length HA(2) chain with maltose-binding protein fused at its N-terminus. The chimeric protein can be refolded in vitro in the presence of specific detergents to yield stable, homogeneous trimers, as determined by analytical ultracentrifugation.