Evidence map›Paper›PMID 25510473›Full record

ArticleJournal of laboratory automation2015

Microscale 3D collagen cell culture assays in conventional flat-bottom 384-well plates.

Brendan M Leung, Christopher Moraes, Stephen P Cavnar, Kathryn E Luker, Gary D Luker, Shuichi Takayama

Abstract read
In one paragraph

Article in Journal of laboratory automation, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. 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.

Brendan M LeungDepartment of Biomedical Engineering, Biointerfaces Institute, University of Michigan, Ann Arbor, MI, USA.
Christopher MoraesDepartment of Biomedical Engineering, Biointerfaces Institute, University of Michigan, Ann Arbor, MI, USA Department of Chemical Engineering, McGill University, Montreal, Canada.
Stephen P CavnarDepartment of Biomedical Engineering, Biointerfaces Institute, University of Michigan, Ann Arbor, MI, USA.
Kathryn E LukerCenter for Molecular Imaging, Department of Radiology, University of Michigan Medical School, Ann Arbor, MI, USA.
Gary D LukerDepartment of Biomedical Engineering, Biointerfaces Institute, University of Michigan, Ann Arbor, MI, USA Center for Molecular Imaging, Department of Radiology, University of Michigan Medical School, Ann Arbor, MI, USA Department of Microbiology and Immunology, University of Michigan Medical School, Ann Arbor, MI, USA.
Shuichi TakayamaDepartment of Biomedical Engineering, Biointerfaces Institute, University of Michigan, Ann Arbor, MI, USA Department of Macromolecular Science and Engineering, University of Michigan, Ann Arbor, MI, USA Division of Nano-Bio and Chemical Engineering WCU Project, UNIST, Republic of Korea takayama@umich.edu.

Funding

Proteogenomics of Cancer Training ProgramT32CA140044 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI RAO, ARVIND, SARTOR, MAUREEN AGNES · 2010 to 2024
$3.9M
Modeling Therapy of Disseminated Cancer Cells in Bone Marrow (PQ 17)R01CA170198 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LUKER, GARY D, TAKAYAMA, SHUICHI · 2012 to 2015
$1.4M
NCI NIH HHS CA170198NCI NIH HHS R01 CA170198NCI NIH HHS T32 CA140044
6 · The paper itself

Abstract

Three-dimensional (3D) culture systems such as cell-laden hydrogels are superior to standard two-dimensional (2D) monolayer cultures for many drug-screening applications. However, their adoption into high-throughput screening (HTS) has been lagging, in part because of the difficulty of incorporating these culture formats into existing robotic liquid handling and imaging infrastructures. Dispensing cell-laden prepolymer solutions into 2D well plates is a potential solution but typically requires large volumes of reagents to avoid evaporation during polymerization, which (1) increases costs, (2) makes drug penetration variable and (3) complicates imaging. Here we describe a technique to efficiently produce 3D microgels using automated liquid-handling systems and standard, nonpatterned, flat-bottomed, 384-well plates. Sub-millimeter-diameter, cell-laden collagen gels are deposited on the bottom of a ~2.5 mm diameter microwell with no concerns about evaporation or meniscus effects at the edges of wells, using aqueous two-phase system patterning. The microscale cell-laden collagen-gel constructs are readily imaged and readily penetrated by drugs. The cytotoxicity of chemotherapeutics was monitored by bioluminescence and demonstrated that 3D cultures confer chemoresistance as compared with similar 2D cultures. Hence, these data demonstrate the importance of culturing cells in 3D to obtain realistic cellular responses. Overall, this system provides a simple and inexpensive method for integrating 3D culture capability into existing HTS infrastructure.

Indexed as

Antineoplastic AgentsAutomation, LaboratoryCell Line, TumorCollagenGelsHigh-Throughput Screening AssaysHumansLuminescent MeasurementsTissue Culture TechniquesAntineoplastic AgentsCollagenGels3D cultureaqueous two-phase systemhigh-throughput screening

Identifiers

PMID25510473
PMCPMC4478447

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.