Evidence map›Paper›PMID 20603663›Full record

ReviewChemical Society reviews2010

Multi-component extracellular matrices based on peptide self-assembly.

Joel H Collier, Jai S Rudra, Joshua Z Gasiorowski, Jangwook P Jung

Abstract readReview
In one paragraph

Review in Chemical Society reviews, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers.

0numbers the graph read from it
0cells of the map it votes in
54citing 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

54 citing papers in PubMed.

  1. Article
  2. Review
  3. Organoid scaffold materials: research and application.Frontiers in bioengineering and biotechnology · 2025
    Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Towards rational computational peptide design.Frontiers in bioinformatics · 2022
    Article
  13. Towards organoid culture without Matrigel.Communications biology · 2021
    Review
  14. Article
  15. Review
  16. Article
  17. Molecules (Basel, Switzerland) · 2020
    Article
  18. Article
  19. Review
  20. 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

4 authors.

Joel H CollierDepartment of Surgery, University of Chicago, 5841 S. Maryland Ave., MC 5032, Chicago, IL 60637, USA. collier@uchicago.edu
Jai S Rudra
Joshua Z Gasiorowski
Jangwook P Jung

Funding

Modular Self-Assembled Coatings for BiomaterialsR01EB009701 · NIBIB · UNIVERSITY OF CHICAGO · PI COLLIER, JOEL H · 2009 to 2021
$4.3M
Modular Biomaterials for Cell Sheet RegenerationR21EB007335 · NIBIB · UNIVERSITY OF CINCINNATI · PI COLLIER, JOEL H · 2007 to 2008
$421k
NIBIB NIH HHS 1R01EB009701NIBIB NIH HHS 7R21EB007335NIBIB NIH HHS R01 EB009701NIBIB NIH HHS R21 EB007335
6 · The paper itself

Abstract

Extracellular matrices (ECMs) are challenging design targets for materials synthesis because they serve multiple biological roles, and they are composed of multiple molecular constituents. In addition, their composition and activities are dynamic and variable between tissues, and they are difficult to study mechanistically in physiological contexts. Nevertheless, the design of synthetic ECMs is a central consideration in applications such as regenerative medicine and 3D cell culture. In order to produce synthetic matrices having both multi-component construction and high levels of compositional definition, strategies based on molecular self-assembly are receiving increasing interest. These approaches are described in this tutorial review and compared with the structures and processes in native ECMs that serve as their inspiration.

Indexed as

AnimalsBiocompatible MaterialsExtracellular MatrixHumansPeptide FragmentsBiocompatible MaterialsPeptide Fragments

Identifiers

PMID20603663
PMCPMC3387682

What OpenQuestion holds

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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.