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Biomarker discovery using gene expression signatures has transformed pharmaceutical discovery and development, from early hit triage and target validation to toxicology, dose optimization, and patient…
Next-generation AI models for drug discovery are only as powerful as the quality, size, and perturbation-richness of their training data. Yet no publicly available dataset…
As the SOT Annual Meeting and ToxExpo 2026 approaches, we take a pre-conference look at the program through a transcriptomics-focused lens. One overall shift is…
DRUG-seq is a cost-effective, high-throughput bulk RNA-seq library preparation method for compound screening in drug discovery and development (Ye et al., 2018; Li et al.,…
DRUG-seq, first published in 2018, has transformed how pharmaceutical, cosmetics, agritech, and AI drug discovery companies screen compounds for on- and off-target effects, mechanisms of…
In recent years, the convergence of CRISPR gene editing and high-throughput screening methodologies has revolutionized genomic research. While the toolkits to edit individual genes have…
As a researcher performing large-scale drug-discovery, genetic perturbation, or toxicogenomic screens, probe-based targeted gene expression profiling assays like Templated Oligo assay with Sequencing (TempO-seq™) from…
Summary – How is Multi-Omics Changing Toxicology?
…Toxicology is at a turning point. For decades, decision-making relied on long-term animal studies, which included 90-day or even 2-year rodent trials, to identify adverse…
Single-cell RNA sequencing (scRNA-seq) has revolutionized our ability to examine the cellular heterogeneity of complex samples, identify new cell types, and explore transcriptional regulation at…
High-throughput gene profiling and drug screening projects have generated vast amounts of biological data, giving researchers endless opportunities to untangle complicated biological questions.
…Tell us about your project and we will help you find the right approach.