A Versatile Disulfide‐Containing Solid‐Support Strategy for 3′‐Modifiers in Oligonucleotides: Introducing Modular Tandem Oligonucleotide Synthesis
Bibliographic record
Abstract
Chemical modifications of oligonucleotides are routinely employed to enhance their functional properties. Amino-modifiers serve as versatile chemical handles for postsynthetic (bio)conjugation, nucleic acid immobilization on solid supports, and investigations into nonenzymatic genome replication relevant to the origins of life, to name a few. Here, we report a cost-effective, disulfide-containing solid-support linkage that enables the on-column synthesis of nucleic acids with 3'-amino or 3'-phosphate modifications. The orthogonality of this solid-support linker facilitates an on-column protecting group strategy, enabling the synthesis of DNA and RNA containing 3'-amino-2',3'-dideoxyribosides from commercial unprotected mononucleosides. Additionally, we present an on-column deprotection protocol for DNA and RNA, prior to cleavage from the solid support, eliminating the precipitation step typically required in conventional RNA workflows, leading to higher recovery for certain strands. Expanding on our previous work, we introduce a versatile modular tandem oligonucleotide synthesis (mTOS) approach, allowing selective release of downstream strands from the one directly bound to the solid-support via the disulfide-containing linker. Together, these advances in solid-support design and oligonucleotide synthesis unlock new opportunities in bioconjugation, biotechnology, and the study of prebiotic replication mechanisms, broadening the utility of chemically modified nucleic acids across research disciplines.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".