Evidence map›Paper›PMID 26909126›Full record

ArticleBiomicrofluidics2016

Highly efficient and gentle trapping of single cells in large microfluidic arrays for time-lapse experiments.

F Yesilkoy, R Ueno, B X E Desbiolles, M Grisi, Y Sakai, B J Kim, J Brugger

Open access · greenAbstract read
In one paragraph

Article in Biomicrofluidics, 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
2.1field-weighted citation impact, top 14% 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

10 citing papers in PubMed, 26 citations in OpenAlex.

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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

7 authors at 1 institution in 2 countries.

F Yesilkoy
R UenoInstitute of Industrial Science, The University of Tokyo , Meguro-ku, Tokyo 153-8505, Japan.
B X E DesbiollesMicrosystems Laboratory, Ecole Polytechnique Federale de Lausanne , 1015 Lausanne, Switzerland.ORCID 0000-0001-6848-3289
M GrisiMicrosystems Laboratory, Ecole Polytechnique Federale de Lausanne , 1015 Lausanne, Switzerland.ORCID 0000-0001-9849-4763
Y SakaiInstitute of Industrial Science, The University of Tokyo , Meguro-ku, Tokyo 153-8505, Japan.
B J KimInstitute of Industrial Science, The University of Tokyo , Meguro-ku, Tokyo 153-8505, Japan.ORCID 0000-0001-9565-299X
J BruggerMicrosystems Laboratory, Ecole Polytechnique Federale de Lausanne , 1015 Lausanne, Switzerland.
École Polytechnique Fédérale de Lausanne · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The isolation of single biological cells and their further cultivation in dedicated arrayed chambers are key to the collection of statistically reliable temporal data in cell-based biological experiments. In this work, we present a hydrodynamic single cell trapping and culturing platform that facilitates cell observation and experimentation using standard bio-lab equipment. The proposed design leverages the stochastic position of the cells as they flow into the structured microfluidic channels, where hundreds of single cells are then arrayed in nanoliter chambers for simultaneous cell specific data collection. Numerical simulation tools are used to devise and implement a hydrodynamic cell trapping mechanism that is minimally detrimental to the cell cycle and retains high overall trapping efficiency (∼70%) with the capability of reaching high fill factors (>90%) in short loading times (1-4 min) in a 400-trap device. A Monte Carlo model is developed using the design parameters to estimate the system trapping efficiencies, which show strong agreement with the experimentally acquired data. As proof of concept, arrayed mammalian tissue cells (MIA PaCa-2) are cultured in the microfluidic chambers for two days without viability problems.

Identifiers

PMID26909126
PMCPMC4760974
OpenAlexW2275316001

What OpenQuestion holds

Textmetadata
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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.