In one paragraphArticle in Science advances, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from itWhat it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
2 · The registryThe 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.
3 · Its place in the literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what moneyAuthors and funding
9 authors.
Zhi WengInternational Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, National Center for Translational Medicine, Shanghai 200030, China.ORCID 0000-0003-0136-1978 Wenle HuangInternational Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, National Center for Translational Medicine, Shanghai 200030, China.
Yi WuInternational Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, National Center for Translational Medicine, Shanghai 200030, China.ORCID 0009-0003-1951-495X Xuehao XiuInternational Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, National Center for Translational Medicine, Shanghai 200030, China.ORCID 0000-0003-0799-6683 Hui LvInstitute of Materiobiology, College of Sciences, Shanghai University, Shanghai 200444, China.ORCID 0009-0007-4900-9021 Fei WangState Key Laboratory of Synergistic Chem-Bio Synthesis, School of Chemistry and Chemical Engineering, New Cornerstone Science Laboratory, Frontiers Science Center for Transformative Molecules, Zhangjiang Institute for Advanced Study and National Center for Translational Medicine, Shanghai Jiao Tong University, Shanghai 200240, China.ORCID 0000-0003-3948-6899 Xiaolei ZuoState Key Laboratory of Synergistic Chem-Bio Synthesis, School of Chemistry and Chemical Engineering, New Cornerstone Science Laboratory, Frontiers Science Center for Transformative Molecules, Zhangjiang Institute for Advanced Study and National Center for Translational Medicine, Shanghai Jiao Tong University, Shanghai 200240, China.ORCID 0000-0001-7505-2727 Chunhai FanState Key Laboratory of Synergistic Chem-Bio Synthesis, School of Chemistry and Chemical Engineering, New Cornerstone Science Laboratory, Frontiers Science Center for Transformative Molecules, Zhangjiang Institute for Advanced Study and National Center for Translational Medicine, Shanghai Jiao Tong University, Shanghai 200240, China.ORCID 0000-0002-7171-7338 Ping SongInternational Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, National Center for Translational Medicine, Shanghai 200030, China.ORCID 0000-0001-5947-4604 Funding
No grant is acknowledged in the PubMed record.
6 · The paper itselfAbstract
Dynamic regulation of amplification efficiency is pivotal yet challenging in molecular diagnostics and DNA data storage. Here, we develop a thermodynamics-based approach to achieve continuous and precise modulation of nucleic acid amplification efficiency. By decoupling sequence specificity from hybridization energy regulation via a primer-tag compensation strategy, we demonstrate programmed amplification with high resolution (33 versus 81%). Leveraging 2483 experimental data, we constructed a machine learning model that improved prediction accuracy from
Indexed as
Machine LearningNucleic Acid Amplification TechniquesHigh-Throughput Nucleotide SequencingHumansThermodynamics
Identifiers
PMID41880514
PMCPMC13015887
What OpenQuestion holds
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