Evidence map›Paper›PMID 27270563›Full record

ArticleLab on a chip2016

Microfluidics 3D gel-island chip for single cell isolation and lineage-dependent drug responses study.

Zhixiong Zhang, Yu-Chih Chen, Yu-Heng Cheng, Yi Luan, Euisik Yoon

Abstract read
In one paragraph

Article in Lab on a chip, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Current Trends of Microfluidic Single-Cell Technologies.International journal of molecular sciences · 2018
    Review
  8. Article
  9. Article
  10. 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

5 authors.

Zhixiong Zhang *Department of Electrical Engineering and Computer Science, University of Michigan, 1301 Beal Avenue, Ann Arbor, MI 48109-2122.
Yu-Chih Chen *Department of Electrical Engineering and Computer Science, University of Michigan, 1301 Beal Avenue, Ann Arbor, MI 48109-2122.
Yu-Heng ChengDepartment of Electrical Engineering and Computer Science, University of Michigan, 1301 Beal Avenue, Ann Arbor, MI 48109-2122.
Yi LuanDepartment of Biomedical Engineering, University of Michigan, 2200 Bonisteel, Blvd. Ann Arbor, MI 48109-2099, USA.
Euisik YoonDepartment of Electrical Engineering and Computer Science, University of Michigan, 1301 Beal Avenue, Ann Arbor, MI 48109-2122.

Funding

Engineered Microenvironments to Study Heterogeneity and Stemness in Breast CancerR21CA195016 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI YOON, EUISIK · 2016 to 2017
$354k
Single Cell to Spheres in High-Throughput Microfluidics for Cancer Drug ScreeningR21CA175857 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI YOON, EUISIK · 2013 to 2014
$333k
NCI NIH HHS R21 CA175857NCI NIH HHS R21 CA195016
6 · The paper itself

Abstract

3D cell culture in the extracellular matrix (ECM), which not only provides structural support to cellular constituents, but also initiates regulatory biochemical cues for a variety of important cell functions in tissue, has become more and more important in understanding cancer pathology and drug testing. Although the ECM-gel has been used in cell culture both in bulk and on-chip, previous studies focused on collective cell behavior rather than single-cell heterogeneity. To track the behavior of each individual cell, we have developed a gel-island chip, which can form thousands of islands containing single cells encapsulated by the desired ECM. Optimized by Poisson's distribution, the device can attain 34% single cell capture efficiency of the exact number of single cells per island. A good culture media exchange rate and high cell viability can be achieved in the gel-islands. The cells in the islands can be automatically counted for high-throughput analysis. As a proof of concept, we monitored the proliferation and differentiation of single Notch+ (stem-like) T47D breast cancer cells. The 3D collagen gel environment was found to be favorable for the stem-like phenotype through better self-renewal and de-differentiation (Notch- to Notch+ transition). More interestingly, we found that the Notch- de-differentiated cells were more resistant to doxorubicin and cisplatin than the Notch+ cells. Combining the 3D ECM culture and single cell resolution, the presented platform can automatically analyze the individual cell behaviors of hundreds of cells using a small amount of drug and reagents.

Indexed as

Lab-On-A-Chip DevicesBreast NeoplasmsCell Culture TechniquesCell DifferentiationCell Line, TumorDrug Screening Assays, AntitumorEquipment DesignExtracellular MatrixHigh-Throughput Screening AssaysHumansHydrogelsSingle-Cell AnalysisHydrogels

Identifiers

PMID27270563
PMCPMC4978778

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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.