Evidence map›Paper›PMID 39950344›Full record

ArticleNucleic acids research2025

Cancer cell target discovery: comparing laboratory evolution of expanded DNA six-nucleotide alphabets with standard four-nucleotide alphabets.

Sharpkate Shaker, Jun Li, Shuo Wan, Hong Xuan, Jinchen Long, Haiyan Cao, Tongxuan Wei, Qinguo Liu, Da Xu, Steven A Benner and 1 more

Abstract readComparative Study
In one paragraph

Article in Nucleic acids research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What 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 registry

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.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Sharpkate ShakerState Key Laboratory of Natural and Biomimetic Drugs, School of Pharmaceutical Sciences, Peking University, Beijing 100191, China.
Jun LiState Key Laboratory of Natural and Biomimetic Drugs, School of Pharmaceutical Sciences, Peking University, Beijing 100191, China.
Shuo WanFoundation for Applied Molecular Evolution, Alachua, FL 32615, United States.
Hong XuanState Key Laboratory of Natural and Biomimetic Drugs, School of Pharmaceutical Sciences, Peking University, Beijing 100191, China.
Jinchen LongState Key Laboratory of Natural and Biomimetic Drugs, School of Pharmaceutical Sciences, Peking University, Beijing 100191, China.
Haiyan CaoState Key Laboratory of Natural and Biomimetic Drugs, School of Pharmaceutical Sciences, Peking University, Beijing 100191, China.
Tongxuan WeiState Key Laboratory of Natural and Biomimetic Drugs, School of Pharmaceutical Sciences, Peking University, Beijing 100191, China.
Qinguo LiuState Key Laboratory of Natural and Biomimetic Drugs, School of Pharmaceutical Sciences, Peking University, Beijing 100191, China.
Da XuKey Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Hepatopancreatobiliary Surgery Department I, Peking University Cancer Hospital & Institute, Beijing 100142, China.
Steven A BennerFoundation for Applied Molecular Evolution, Alachua, FL 32615, United States.ORCID 0000-0002-3318-9917
Liqin ZhangState Key Laboratory of Natural and Biomimetic Drugs, School of Pharmaceutical Sciences, Peking University, Beijing 100191, China.ORCID 0000-0002-3632-4117

Funding

Equipment Supplement to 1R01GM141391-01A1 (Easily Used Kits to Evolve Reagents that Covalently Tag and Inactivate Proteins)R01GM141391 · NIGMS · FOUNDATION FOR APPLIED MOLECULAR EVOLUTN · PI BENNER, STEVEN A · 2021 to 2024
$1.4M
Clinical Medicine Plus X-Young Scholars Project of Peking UniversityFundamental Research Funds for the Central Universities PKU2024LCXQ026National Key Research and Development Program of China 2023YFC3405100National Natural Science Foundation of China 22227805National Science Foundation NSF MCB-2123995NIGMS NIH HHS R01 GM141391NIH HHS R01GM141391Science Foundation of Peking University Cancer Hospital JC202404
6 · The paper itself

Abstract

Anthropogenic evolvable genetic information systems (AEGIS) are DNA-like molecules that can be copied, support laboratory in vitro evolution (LIVE), and evolve to give AegisBodies, analogs of antibodies. However, unlike DNA aptamers built from four different nucleotides, AegisBodies are currently built from six different nucleotides. Thus, six-letter AEGIS-LIVE delivers AegisBodies with greater stability in biological mixtures, more folds, and enhanced binding and catalytic power. Unlike DNA however, AEGIS has not benefited from 4 billion years of biological evolution to create AEGIS-specialized enzymes, but only a decade or so of human design. To learn whether AEGIS can nevertheless perform as well as natural DNA as a platform to create functional molecules, we compared two six-letter AegisBodies (LZH5b and LZH8) with a single standard four-letter aptamer, both evolved to bind specific cancer cells with ∼10 cycles of LIVE. Both evolved ∼50 nM affinities. Both discovered proteins on their cancer cell surfaces thought to function only inside of cells. Both can be internalized. Internalizing of LZH5b attached to an AEGIS nanotrain brings attached drugs into the cell. These data show that AEGIS-LIVE can do what four-letter LIVE can do at its limits of performance after 4 billion years of evolution of DNA-specialized enzymes, and better by a few metrics. As synthetic biologists continue to improve enzymology and analytical chemistry to support AEGIS-LIVE, this technology shoud prove increasingly useful as a tool, especially in cancer research.

Indexed as

Aptamers, NucleotideDirected Molecular EvolutionDNANeoplasmsNucleotidesCell Line, TumorHumansAptamers, NucleotideDNANucleotides

Identifiers

PMID39950344
PMCPMC11826092

What Socratic holds

Textmetadata
LicenceCC BY-NC
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Registered trials

None linked

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 Socratic graph.