Evidence map›Paper›PMID 30559507›Full record

ArticleBulletin of the Chemical Society of Japan2018

Instructed-Assembly (iA): A Molecular Process for Controlling Cell Fate.

Hongjian He, Bing Xu

Abstract read
In one paragraph

Article in Bulletin of the Chemical Society of Japan, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Article
  2. Article
  3. Dynamic Flow-Assisted Nanoarchitectonics.ACS applied materials & interfaces · 2025
    Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Fullerene Nanoarchitectonics with Shape-Shifting.Materials (Basel, Switzerland) · 2020
    Review
  9. Review
  10. Article
  11. Dynamic Continuum of Molecular Assemblies for Controlling Cell Fates.Chembiochem : a European journal of chemical biology · 2019
    Article
  12. Article
  13. Review
  14. Assemblies of Peptides in a Complex Environment and their Applications.Angewandte Chemie (International ed. in English) · 2019
    Review
  15. Article
  16. Article
  17. Review
  18. Review
  19. Review
  20. Instructed Assembly of Peptides for Intracellular Enzyme Sequestration.Journal of the American Chemical Society · 2018
    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

2 authors.

Hongjian HeDepartment of Chemistry, Brandeis University, 415 South Street, Waltham, MA 02454, USA.
Bing XuDepartment of Chemistry, Brandeis University, 415 South Street, Waltham, MA 02454, USA.

Funding

Subcellular Enzyme-instructed self-assembly for molecular anticancer nanomedicinesR01CA142746 · NCI · BRANDEIS UNIVERSITY · PI Bing Xu · 2010 to 2026
$6.4M
Enzyme-instructed nanoscale assemblies for killing multidrug resistant bacteriaR21AI130560 · NIAID · BRANDEIS UNIVERSITY · PI XU, BING · 2017 to 2018
$447k
NCI NIH HHS R01 CA142746NIAID NIH HHS R21 AI130560
6 · The paper itself

Abstract

Instructed-assembly (iAssembly or iA) refers to the formation of ordered superstructures of molecules as the consequence of at least one trigger event (e.g., a reaction or a ligand-receptor interaction). As a biomimetic process that transforms from an equilibrium to another equilibrium, iA has emerging as a powerful approach to provide spatiotemporal control for a range of potential biomedical applications, including molecular imaging, cancer therapy, and tissue engineering. This account introduces the general concept of iA in the context of cells and illustrates how to achieve iA for applications. By mainly describing the representative examples of iA and its applications in complex environment, such as cells or animals, and providing the perspectives of the future development of iA, we intend to show that, as a process that bridges self-assembly and self-organization, iA offers chemists a facile mean to explore the emergent properties of molecular assemblies and the dynamics of molecular processes to control cell fate. Particularly, iA promises many wonderful surprises and useful applications in physical and/or life sciences when multiple processes (e.g., self-assembly, instructed-assembly, and self-organization) are taking place simultaneously.

Identifiers

PMID30559507
PMCPMC6293978

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Registered trials

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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.