Evidence map›Paper›PMID 27341146›Full record

ArticleJournal of visualized experiments : JoVE2016

A Microfluidic Platform for High-throughput Single-cell Isolation and Culture.

Ching-Hui Lin, Hao-Chen Chang, Chia-Hsien Hsu

Abstract readVideo-Audio Media
In one paragraph

Article in Journal of visualized experiments : JoVE, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Microfluidic tools for lipid production and modification: a review.Environmental science and pollution research international · 2019
    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

3 authors.

Ching-Hui LinInstitute of Biomedical Engineering and Nanomedicine, National Health Research Institutes, Taiwan; Tissue Engineering and Regenerative Medicine, National Chung Hsing University.
Hao-Chen ChangInstitute of Biomedical Engineering and Nanomedicine, National Health Research Institutes, Taiwan; Tissue Engineering and Regenerative Medicine, National Chung Hsing University.
Chia-Hsien HsuInstitute of Biomedical Engineering and Nanomedicine, National Health Research Institutes, Taiwan; Tissue Engineering and Regenerative Medicine, National Chung Hsing University; Institute of NanoEngineering and MicroSystems, National Tsing Hua University; chsu@nhri.org.tw.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Studying the heterogeneity of single cells is crucial for many biological questions, but is technically difficult. Thus, there is a need for a simple, yet high-throughput, method to perform single-cell culture experiments. Here, we report a microfluidic chip-based strategy for high-efficiency single-cell isolation (~77%) and demonstrate its capability of performing long-term single-cell culture (up to 7 d) and cellular heterogeneity analysis using clonogenic assay. These applications were demonstrated with KT98 mouse neural stem cells, and A549 and MDA-MB-435 human cancer cells. High single-cell isolation efficiency and long-term culture capability are achieved by using different sizes of microwells on the top and bottom of the microfluidic channel. The small microwell array is designed for precisely isolating single-cells, and the large microwell array is used for single-cell clonal culture in the microfluidic chip. This microfluidic platform constitutes an attractive approach for single-cell culture applications, due to its flexibility of adjustable cell culture spaces for different culture strategies, without decreasing isolation efficiency.

Indexed as

Microfluidic Analytical TechniquesAnimalsCell Culture TechniquesCell SeparationHumansMiceMicrofluidicsNeural Stem Cells

Identifiers

PMID27341146
PMCPMC4927807

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.