Evidence map›Paper›PMID 30190554›Full record

ArticleNature protocols2018

A three-dimensional engineered heterogeneous tumor model for assessing cellular environment and response.

Darren Rodenhizer, Teresa Dean, Bin Xu, Dan Cojocari, Alison P McGuigan

Abstract read
PubMed Publisher
In one paragraph

Article in Nature protocols, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.4field-weighted citation impact, top 19% of its field
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

11 citing papers in PubMed, 32 citations in OpenAlex.

  1. Beyond DNA damage: 3D tumor models and the integrin mechanobiology of radioresistance.Journal of experimental & clinical cancer research : CR · 2026
    Review
  2. Review
  3. Article
  4. Review
  5. Engineering Heterogeneous Tumor Models for Biomedical Applications.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Review
  6. Article
  7. Review
  8. Monitoring and modulation of the tumor microenvironment for enhanced cancer modeling.Experimental biology and medicine (Maywood, N.J.) · 2022
    Review
  9. Review
  10. Article
  11. 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

5 authors at 2 institutions in 2 countries.

Darren RodenhizerDepartment of Chemical Engineering and Applied Chemistry, University of Toronto, Toronto, ON, Canada.
Teresa DeanInstitute of Biomaterials and Biomedical Engineering, University of Toronto, Toronto, ON, Canada.
Bin XuDepartment of Chemical Engineering and Applied Chemistry, University of Toronto, Toronto, ON, Canada.
Dan CojocariPrincess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada.
Alison P McGuiganDepartment of Chemical Engineering and Applied Chemistry, University of Toronto, Toronto, ON, Canada. alison.mcguigan@utoronto.ca.ORCID http://orcid.org/0000-0003-2803-0917
University of Toronto · CAUniversity Health Network · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This protocol describes how to build and implement a three-dimensional (3D) cell culture system, TRACER (tissue roll for analysis of cellular environment and response), that enables analysis of cellular behavior and phenotype in hypoxic gradients. TRACER consists of infiltrating cells encapsulated in a hydrogel extracellular matrix (ECM) within a thin strip of porous cellulose scaffolding that is then rolled around an oxygen-impermeable mandrel for assembly of thick and layered 3D tissue constructs that develop cell-defined oxygen gradients. TRACER differs from other stacked-paper cell culture models because it is assembled from a single-piece scaffold, which facilitates rapid disassembly for analysis of different cell populations and metabolites. The protocol describes how to fabricate TRACER components, cell seeding in the scaffold, and scaffold assembly and disassembly. Furthermore, it provides methods to quantify live, dead, or proliferating cells, as well as gradients of oxygen using the nitroimidazole derivative EF5, in a layer-by-layer analysis with confocal microscopy or by flow cytometry of cells isolated from the TRACER scaffold. Additional methods to isolate live cells from TRACER layers for dose-response analysis with a clonogenic assay, as well as steps to extract RNA or fast-changing metabolites from TRACER layers, are also presented. Finally, we provide alternative steps to establish TRACER co-cultures for assessment of tumor cell invasion and metastasis, in this case in the absence of a hypoxic gradient. Although analysis time varies according to the assay chosen, scaffold fabrication and seeding typically take 2 h, and TRACER assembly takes 20 min on the day following scaffold seeding. The TRACER platform is designed for use by researchers and students who have basic tissue culture experience.

Indexed as

Tumor MicroenvironmentCell Culture TechniquesCoculture TechniquesHumansModels, BiologicalNeoplasmsOxygenTissue EngineeringOxygen

Identifiers

PMID30190554
OpenAlexW2890115677

What Socratic holds

Textmetadata
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 Socratic graph.