Aptamers are short single-stranded DNA or RNA molecules that fold into 3D structures capable of binding targets (proteins, small molecules, cells, or even complex particles) with high specificity and affinity. “Aptamer methods” usually refers to the full pipeline: library design → selection (SELEX) → enrichment monitoring → sequencing & bioinformatics → candidate optimization → biophysical/functional validation → stability engineering. Modern platforms improve speed and hit quality by combining smarter selection pressures with microfluidics and next-generation sequencing. 1) Core Aptamer Selection Method: SELEX (Systematic Evolution of Ligands by EXponential Enrichment) 1.1 Classical SELEX workflow (baseline method) Start with a random oligonucleotide library (often 10^13–10^15 unique sequences) Incubate library with the target Partition bound vs unbound sequences Elute binders Amplify (PCR for DNA; RT-PCR + transcription for RNA) Repeat iterative rounds with increasing stringency until enrichment is achieved Why it works: each round increases the fraction of sequences that can bind under the imposed conditions (buffer, temperature, competitor molecules, etc.). Why it’s hard: classical SELEX can be slow, labor intensive, and prone to amplification bias—hence the rise of “advanced SELEX” platforms. 1.2 “Stringency engineering” (how you make aptamers useful) Selection success often depends less on the target itself…
“Completion of SELEX” refers to the point in the Systematic Evolution of Ligands by EXponential enrichment (SELEX)workflow where iterative selection rounds have produced an enriched nucleic-acid pool (DNA or RNA) that contains high-affinity, high-specificity binding sequences (aptamers) for a defined target, and further rounds provide diminishing improvements. In practical terms, completion is less a single universal round number and more a decision point supported by enrichment evidence, performance metrics, and downstream readiness. 1) SELEX in One Picture (Why “Completion” Exists at All) SELEX is an iterative evolutionary loop performed in vitro: Start with a diverse library (randomized nucleic-acid sequences). Bind the library to a target (protein, small molecule, cell surface, complex mixture, etc.). Partition: separate binders from non-binders (the critical “selection” step). Elute and amplify the binders (PCR for DNA; RT-PCR for RNA). Repeat with increasing stringency (less target, harsher washes, counter-selection, etc.). “Completion” matters because every additional round costs time, introduces amplification bias, and can over-enrich “fast amplifiers” rather than “best binders.” Modern practice treats completion as an optimization endpoint, not a ritual number of rounds. 2) What “Completion of SELEX” Typically Means (Conceptual Definition) A common knowledge-centered definition is: The pool has converged toward one…
Aptamers are short, single-stranded nucleic acid molecules (DNA or RNA) that fold into specific 3D shapes and bind targets with high affinity and selectivity—often compared to how antibodies recognize antigens, but built from nucleic acids rather than proteins. Unlike a “generic DNA strand,” an aptamer’s function comes from structure: loops, stems, bulges, pseudoknots, and other motifs that create a binding surface matching a target’s geometry and chemistry. Targets can include proteins, peptides, small molecules, ions, and even whole cells (depending on the selection strategy). Why Aptamers Matter (and How They Differ From Antibodies) Aptamers are often described as “chemical antibodies,” but the differences are exactly why they’re valuable. Key advantages frequently highlighted Low immunogenicity (reduced risk of provoking immune responses) High stability and the ability to refold after denaturation in many cases Easy chemical synthesis (batch consistency, scalable manufacturing) Straightforward modification (labels, linkers, immobilization handles) Trade-offs you should know Nuclease sensitivity (especially RNA aptamers) can be a limitation in biological fluids unless stabilized. Selection bias can occur during discovery (e.g., PCR bias), meaning “best in the tube” isn’t always “best in reality.” Very high affinity does not automatically guarantee best real-world specificity; selection conditions matter. …
