Evidence map›Paper›PMID 26858821›Full record

ArticleBiomicrofluidics2016

Enhanced contactless dielectrophoresis enrichment and isolation platform via cell-scale microstructures.

Jaka Čemažar, Temple A Douglas, Eva M Schmelz, Rafael V Davalos

Open access · bronzeAbstract 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 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
5.6field-weighted citation impact, top 4% 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

19 citing papers in PubMed, 54 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

4 authors at 2 institutions in 1 country.

Jaka ČemažarSchool of Biomedical Engineering and Sciences, Virginia Tech - Wake Forest University , Blacksburg, Virginia 24061, USA.
Temple A DouglasSchool of Biomedical Engineering and Sciences, Virginia Tech - Wake Forest University , Blacksburg, Virginia 24061, USA.
Eva M SchmelzDepartment of Human Nutrition, Foods, and Exercise, Virginia Tech , Blacksburg, Virginia 24061, USA.
Rafael V DavalosSchool of Biomedical Engineering and Sciences, Virginia Tech - Wake Forest University , Blacksburg, Virginia 24061, USA.
Virginia Tech - Wake Forest University School of Biomedical Engineering & Sciences · USVirginia Tech · US

Funding

Isolation of Tumor Initiating Cells (TICs) using Contactless DielectrophoresisR21CA173092 · NCI · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI CRAMER, SCOTT D, DAVALOS, RAFAEL VIDAL · 2012 to 2013
$368k
NCI NIH HHS R21 CA173092
6 · The paper itself

Abstract

We designed a new microfluidic device that uses pillars on the same order as the diameter of a cell (20 μm) to isolate and enrich rare cell samples from background. These cell-scale microstructures improve viability, trapping efficiency, and throughput while reducing pearl chaining. The area where cells trap on each pillar is small, such that only one or two cells trap while fluid flow carries away excess cells. We employed contactless dielectrophoresis in which a thin PDMS membrane separates the cell suspension from the electrodes, improving cell viability for off-chip collection and analysis. We compared viability and trapping efficiency of a highly aggressive Mouse Ovarian Surface Epithelial (MOSE) cell line in this 20 μm pillar device to measurements in an earlier device with the same layout but pillars of 100 μm diameter. We found that MOSE cells in the new device with 20 μm pillars had higher viability at 350 VRMS, 30 kHz, and 1.2 ml/h (control 77%, untrapped 71%, trapped 81%) than in the previous generation device (untrapped 47%, trapped 42%). The new device can trap up to 6 times more cells under the same conditions. Our new device can sort cells with a high flow rate of 2.2 ml/h and throughput of a few million cells per hour while maintaining a viable population of cells for off-chip analysis. By using the device to separate subpopulations of tumor cells while maintaining their viability at large sample sizes, this technology can be used in developing personalized treatments that target the most aggressive cancerous cells.

Identifiers

PMID26858821
PMCPMC4723398
OpenAlexW2296254988

What OpenQuestion holds

Textmetadata
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.