ArticleCommunications chemistry2025
Efficiency of Digital Photolithographic Synthesis of Large, High-Quality DNA Libraries and Microarrays using a Guanine O
Article in Communications chemistry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- GuanineOrganic & biomolecular chemistry · 2026Article
- Combinatorial and rational synthesis of complex, base-modified aptamer libraries on microarrays.RSC advances · 2026Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
Large-scale de novo nucleic acid synthesis is a powerful tool enabling researchers to better understand and engineer biological systems. Fields ranging from genomics to nucleic acid therapeutics to synthetic biology make use of high-throughput experimental approaches requiring access to large pools or libraries of DNA, RNA, synthetic nucleic acid analogs, non-nucleosidic building blocks, or combinations of these. Large oligonucleotide libraries are synthesized as microarrays and used in situ for surface-based assays or cleaved for off-array applications. Here, using a digital maskless photolithographic approach, we address an important source of error in DNA microarray synthesis, oligonucleotide fragmentation arising from the O
Identifiers
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.