Core Concept of NGS-SELEX Traditional SELEX uses a few rounds of selection and cloning/Sanger sequencing of a handful of clones. NGS-SELEX performs deep sequencing (millions to billions of reads) at every selection round. This allows you to: Track the entire evolution of the oligonucleotide pool in real-time. Identify enriched sequences and families early. Perform sophisticated bioinformatics analysis to find winners, not just rely on final round abundance. Dramatically reduce the number of selection rounds needed (often 3-6 rounds instead of 8-15). Standard Service Workflow A full-service provider would typically offer the following pipeline: 1. Project Design & Library Synthesis Consultation: Target properties (protein, small molecule, cell), desired aptamer properties (Kd, specificity, buffer conditions). Library Design: Standard (40-60 nt random region) or custom (doped libraries, modified nucleotides like 2'-F, 2'-OMe, SOMAmers). Primer & Library Synthesis: Providing the initial, highly diverse DNA or RNA library (10^14 - 10^15 unique sequences). 2. SELEX Selection Immobilization: Immobilizing the target (on beads, column, plate) or using solution-based techniques (capture-SELEX, toggle-SELEX). Counter-Selection: Including steps to remove binders to immobilization matrix or off-targets. Stringency Control: Increasing selection pressure over rounds (e.g., reduced target concentration, increased wash stringency). Amplification: Careful PCR (with optimization to minimize bias) to regenerate the pool for the next round. 3. NGS & Core Bioinformatics Sample Preparation: Preparing sequencing…
“Diagnostics and Therapeutics” is the paired engine of modern healthcare: diagnostics generate actionable evidence about what is happening in the body, and therapeutics use that evidence to choose (and adjust) interventions that improve outcomes. As medicine becomes more data-rich—through molecular testing, advanced imaging, and continuous monitoring—the relationship between diagnostics and therapeutics is shifting from a linear “test-then-treat” workflow to a dynamic feedback loop that refines decisions over time. 1) What “Diagnostics” Means (Beyond Simply Naming a Disease) In clinical practice, diagnostics refers to the tools and methods used to detect, characterize, and track disease-related signals. Importantly, diagnostics is not a single test—it’s a system of evidence that supports decisions across the entire care pathway: Screening diagnostics: detect risk or early disease signals before symptoms are obvious. Diagnostic confirmation: distinguish between conditions with similar presentations. Prognostic diagnostics: estimate likely disease course and severity. Predictive diagnostics: forecast whether a patient is likely to benefit from a specific therapy (a key concept in precision medicine). Monitoring diagnostics: measure response, relapse, or adverse effects over time, enabling treatment adjustment. Major diagnostic categories used today Clinical laboratory diagnostics (blood, urine, tissue, etc.) and medical imaging are foundational, but the fastest-growing…
