Evidence map›Paper›PMID 34193867›Full record

ArticleNature communications2021

Surfactant-guided spatial assembly of nano-architectures for molecular profiling of extracellular vesicles.

Zhigang Wang, Haitao Zhao, Yan Zhang, Auginia Natalia, Chin-Ann J Ong, Melissa C C Teo, Jimmy B Y So, Huilin Shao

Abstract read
In one paragraph

Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Epitaxial Growth of 2D Core-Crown SnSSmall (Weinheim an der Bergstrasse, Germany) · 2025
    Article
  7. Article
  8. Article
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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

8 authors.

Zhigang WangInstitute for Health Innovation & Technology, National University of Singapore, Singapore, Singapore.ORCID 0000-0002-1575-7685
Haitao ZhaoInstitute for Health Innovation & Technology, National University of Singapore, Singapore, Singapore.
Yan ZhangInstitute for Health Innovation & Technology, National University of Singapore, Singapore, Singapore.
Auginia NataliaInstitute for Health Innovation & Technology, National University of Singapore, Singapore, Singapore.ORCID 0000-0001-7487-6759
Chin-Ann J OngDivision of Surgical Oncology, National Cancer Centre, Singapore, Singapore.ORCID 0000-0003-4573-7738
Melissa C C TeoDivision of Surgical Oncology, National Cancer Centre, Singapore, Singapore.
Jimmy B Y SoDepartment of Surgery, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.ORCID 0000-0002-9772-7905
Huilin ShaoInstitute for Health Innovation & Technology, National University of Singapore, Singapore, Singapore. huilin.shao@nus.edu.sg.ORCID 0000-0003-4513-1410

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The controlled assembly of nanomaterials into desired architectures presents many opportunities; however, current preparations lack spatial precision and versatility in developing complex nano-architectures. Inspired by the amphiphilic nature of surfactants, we develop a facile approach to guide nanomaterial integration - spatial organization and distribution - in metal-organic frameworks (MOFs). Named surfactant tunable spatial architecture (STAR), the technology leverages the varied interactions of surfactants with nanoparticles and MOF constituents, respectively, to direct nanoparticle arrangement while molding the growing framework. By surfactant matching, the approach achieves not only tunable and precise integration of diverse nanomaterials in different MOF structures, but also fast and aqueous synthesis, in solution and on solid substrates. Employing the approach, we develop a dual-probe STAR that comprises peripheral working probes and central reference probes to achieve differential responsiveness to biomarkers. When applied for the direct profiling of clinical ascites, STAR reveals glycosylation signatures of extracellular vesicles and differentiates cancer patient prognosis.

Indexed as

AscitesBiomarkers, TumorBiosensing TechniquesColorectal NeoplasmsExtracellular VesiclesGlycosylationHumansMetal-Organic FrameworksNanostructuresPrognosisSurface-Active AgentsBiomarkers, TumorMetal-Organic FrameworksSurface-Active Agents

Identifiers

PMID34193867
PMCPMC8245598

What OpenQuestion holds

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LicenceCC BY
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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 OpenQuestion graph.