Evidence map›Paper›PMID 28757092›Full record

ArticleAnalytical biochemistry2017

Beta-hairpin hydrogels as scaffolds for high-throughput drug discovery in three-dimensional cell culture.

Peter Worthington, Katherine M Drake, Zhiqin Li, Andrew D Napper, Darrin J Pochan, Sigrid A Langhans

Abstract read
In one paragraph

Article in Analytical biochemistry, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. 3D Hydrogel Cultures for High-Throughput Drug Discovery.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. Review
  10. Article
  11. Proteinaceous Hydrogels for Bioengineering Advanced 3D Tumor Models.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2021
    Review
  12. Review
  13. Frontiers in oncology · 2021
    Review
  14. Review
  15. Article
  16. Three-DimensionalFrontiers in pharmacology · 2018
    Review
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

6 authors.

Peter WorthingtonNemours Center for Childhood Cancer Research, Alfred I. duPont Hospital for Children, Wilmington, DE 19803, USA; Department of Biomedical Engineering, University of Delaware, Newark, DE 19716, USA. Electronic address: pworth@udel.edu.
Katherine M DrakeNemours Center for Childhood Cancer Research, Alfred I. duPont Hospital for Children, Wilmington, DE 19803, USA. Electronic address: drake@medsci.udel.edu.
Zhiqin LiNemours Center for Childhood Cancer Research, Alfred I. duPont Hospital for Children, Wilmington, DE 19803, USA. Electronic address: li@medsci.udel.edu.
Andrew D NapperNemours Center for Childhood Cancer Research, Alfred I. duPont Hospital for Children, Wilmington, DE 19803, USA. Electronic address: anapper@gmail.com.
Darrin J PochanDepartment of Materials Science and Engineering and Delaware Biotechnology Institute, University of Delaware, Newark, DE 19716, USA. Electronic address: pochan@udel.edu.
Sigrid A LanghansNemours Center for Childhood Cancer Research, Alfred I. duPont Hospital for Children, Wilmington, DE 19803, USA. Electronic address: langhans@nemoursresearch.org.

Funding

Subproject Title: Clinical Research Education, Mentoring and Career Development CoreU54GM104941 · NIGMS · UNIVERSITY OF DELAWARE · PI LEE M PACHTER · 2013 to 2026
$60.5M
Center for Pediatric ResearchP20GM103464 · NIGMS · NEMOURS CHILDREN'S HOSPITAL, DELAWARE · PI SHAFFER, THOMAS H · 2012 to 2014
$5.6M
Center for Pediatric Research Pilot ProgramP30GM114736 · NIGMS · NEMOURS CHILDREN'S HOSPITAL, DELAWARE · PI SHAFFER, THOMAS H · 2015 to 2019
$5.1M
NIGMS NIH HHS P20 GM103464NIGMS NIH HHS P30 GM114736NIGMS NIH HHS U54 GM104941
6 · The paper itself

Abstract

Automated cell-based high-throughput screening (HTS) is a powerful tool in drug discovery, and it is increasingly being recognized that three-dimensional (3D) models, which more closely mimic in vivo-like conditions, are desirable screening platforms. One limitation hampering the development of 3D HTS is the lack of suitable 3D culture scaffolds that can readily be incorporated into existing HTS infrastructure. We now show that β-hairpin peptide hydrogels can serve as a 3D cell culture platform that is compatible with HTS. MAX8 β-hairpin peptides can physically assemble into a hydrogel with defined porosity, permeability and mechanical stability with encapsulated cells. Most importantly, the hydrogels can then be injected under shear-flow and immediately reheal into a hydrogel with the same properties exhibited prior to injection. The post-injection hydrogels are cell culture compatible at physiological conditions. Using standard HTS equipment and medulloblastoma pediatric brain tumor cells as a model system, we show that automatic distribution of cell-peptide mixtures into 384-well assay plates results in evenly dispensed, viable MAX8-cell constructs suitable for commercially available cell viability assays. Since MAX8 peptides can be functionalized to mimic the microenvironment of cells from a variety of origins, MAX8 peptide gels should have broad applicability for 3D HTS drug discovery.

Indexed as

Drug DiscoveryHigh-Throughput Screening AssaysAntineoplastic AgentsCell Culture TechniquesCell ProliferationCell SurvivalDose-Response Relationship, DrugDrug Screening Assays, AntitumorHumansHydrogelsPeptidesRheologyStructure-Activity RelationshipTumor Cells, CulturedAntineoplastic AgentsHydrogelsPeptidesBeta-hairpin hydrogelHigh-throughput drug discoveryMedulloblastomaThree-dimensional cell culture

Identifiers

PMID28757092
PMCPMC5576559

What OpenQuestion holds

Textmetadata
LicenceTDM
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.