Evidence map›Paper›PMID 24150602›Full record

ArticleBiomedical microdevices2014

3D printing of biomimetic microstructures for cancer cell migration.

Tina Qing Huang, Xin Qu, Justin Liu, Shaochen Chen

Abstract read
In one paragraph

Article in Biomedical microdevices, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 72 papers.

0numbers the graph read from it
0cells of the map it votes in
72citing 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

72 citing papers in PubMed.

  1. Review
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  11. Article
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  14. Article
  15. Article
  16. Review
  17. Digital Light Processing Bioprinting Advances for Microtissue Models.ACS biomaterials science & engineering · 2022
    Review
  18. Review
  19. Emerging Technologies in Multi-Material Bioprinting.Advanced materials (Deerfield Beach, Fla.) · 2021
    Review
  20. Article

12 more citing papers are in PubMed but not listed here.

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.

Tina Qing HuangDepartment of NanoEngineering, University of California, MC-0448, SME Building 245B, 9500 Gilman Drive, La Jolla, San Diego, CA, 92093, USA.
Xin Qu
Justin Liu
Shaochen Chen

Funding

A Microfabrication Platform for Direct Printing Vascularized Functional Tissue CoR01EB012597 · NIBIB · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI CHEN, SHAOCHEN · 2010 to 2013
$1.4M
NIBIB NIH HHS R01 EB012597NIBIB NIH HHS R01EB012597
6 · The paper itself

Abstract

To understand the physical behavior and migration of cancer cells, a 3D in vitro micro-chip in hydrogel was created using 3D projection printing. The micro-chip has a honeycomb branched structure, aiming to mimic 3D vascular morphology to test, monitor, and analyze differences in the behavior of cancer cells (i.e. HeLa) vs. non-cancerous cell lines (i.e. 10 T1/2). The 3D Projection Printing system can fabricate complex structures in seconds from user-created designs. The fabricated microstructures have three different channel widths of 25, 45, and 120 microns wide to reflect a range of blood vessel diameters. HeLa and 10 T1/2 cells seeded within the micro-chip were then analyzed for morphology and cell migration speed. 10 T1/2 cells exhibited greater changes in morphology due to channel size width than HeLa cells; however, channel width had a limited effect on 10 T1/2 cell migration while HeLa cancer cell migration increased as channel width decreased. This physiologically relevant 3D cancer tissue model has the potential to be a powerful tool for future drug discoveries and cancer migration studies.

Indexed as

Cell MovementAnimalsBiomimetic MaterialsCell Culture TechniquesCell Line, TumorCells, CulturedHeLa CellsHumansHydrogelsLab-On-A-Chip DevicesMiceTissue EngineeringHydrogels

Identifiers

PMID24150602
PMCPMC3945947

What OpenQuestion holds

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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.