Evidence map›Paper›PMID 41755857›Full record

ArticleJACS Au2026

Competitive Mg

Xinran Yu, Chengying Yin, Xingxin Liu, Jie Liu, Yifeng Zhu, Dechang Li, Delong Zhang, Hyeon Jeong Lee, Baohua Ji, Liangfei Tian

Abstract read
In one paragraph

Article in JACS Au, 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 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Xinran YuZhejiang Key Laboratory of Intelligent Sensing Technology and Advanced Medical Instrument, Key Laboratory of Biomedical Engineering of Ministry of Education, College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou 310027, China.
Chengying YinDepartment of Ambulatory Surgery, Women's Hospital, School of Medicine, Zhejiang University, Hangzhou 310027, China.
Xingxin LiuZhejiang Key Laboratory of Micro-nano Quantum Chips and Quantum Control, and School of Physics, Zhejiang University, Hangzhou 310027, China.
Jie LiuZhejiang Key Laboratory of Intelligent Sensing Technology and Advanced Medical Instrument, Key Laboratory of Biomedical Engineering of Ministry of Education, College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou 310027, China.
Yifeng ZhuZhejiang Key Laboratory of Intelligent Sensing Technology and Advanced Medical Instrument, Key Laboratory of Biomedical Engineering of Ministry of Education, College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou 310027, China.
Dechang LiKey Laboratory of Soft Machines and Smart Devices of Zhejiang Province, Institute of Biomechanics and Applications, Department of Engineering Mechanics, Zhejiang University, Hangzhou 310027, China.ORCID https://orcid.org/0000-0002-9528-6851
Delong ZhangZhejiang Key Laboratory of Micro-nano Quantum Chips and Quantum Control, and School of Physics, Zhejiang University, Hangzhou 310027, China.ORCID https://orcid.org/0000-0002-9734-3573
Hyeon Jeong LeeZhejiang Key Laboratory of Intelligent Sensing Technology and Advanced Medical Instrument, Key Laboratory of Biomedical Engineering of Ministry of Education, College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou 310027, China.ORCID https://orcid.org/0000-0002-2417-9338
Baohua JiKey Laboratory of Soft Machines and Smart Devices of Zhejiang Province, Institute of Biomechanics and Applications, Department of Engineering Mechanics, Zhejiang University, Hangzhou 310027, China.ORCID https://orcid.org/0000-0002-0092-6562
Liangfei TianZhejiang Key Laboratory of Intelligent Sensing Technology and Advanced Medical Instrument, Key Laboratory of Biomedical Engineering of Ministry of Education, College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou 310027, China.ORCID https://orcid.org/0000-0003-4340-2598

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The intrinsic microenvironments of biomolecular condensates play decisive roles in applications spanning synthetic cell construction, targeted drug delivery systems, cell engineering, bioreactor development, and precision disease interventions. Recent studies highlight that divalent cations play a central role in modulating the internal condensate microenvironments. However, the complex multivalent interaction networks within condensates create significant challenges in unraveling the molecular mechanisms. This study employs model systems of cationic peptides (arginine decamer (R10), lysine decamer (K10)) and polyanionic polymers (polyadenylic acid (PolyA), polyinosinic acid (PolyI), polyglutamic acid (PolyE), polyaspartic acid (PolyD)) to systematically investigate Mg

Indexed as

biomolecule condensatecellular engineeringdivalent cationmicroenvironmentribozyme

Identifiers

PMID41755857
PMCPMC12933319

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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 OpenQuestion graph.