Evidence map›Paper›PMID 29426941›Full record

ArticleScientific reports2018

Microfluidic channel optimization to improve hydrodynamic dissociation of cell aggregates and tissue.

Xiaolong Qiu, Jen-Huang Huang, Trisha M Westerhof, Jeremy A Lombardo, Katrina M Henrikson, Marissa Pennell, Pedram P Pourfard, Edward L Nelson, Pulak Nath, Jered B Haun

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Review
  6. AnFrontiers in bioengineering and biotechnology · 2023
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. From Donor to the Lab: A Fascinating Journey of Primary Cell Lines.Frontiers in cell and developmental biology · 2021
    Review
  12. Review
  13. Review
  14. Article
  15. 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

10 authors.

Xiaolong QiuDepartment of Biomedical Engineering, Henry Samueli School of Engineering, University of California Irvine, Irvine, CA, 9269, USA.
Jen-Huang HuangDepartment of Chemical Engineering, National Tsing Hua University, Hsinchu, Taiwan.ORCID 0000-0002-3086-5094
Trisha M WesterhofDepartment of Chemical Engineering and Materials Science, Henry Samueli School of Engineering, University of California Irvine, Irvine, CA, 92697, USA.ORCID 0000-0002-5449-6561
Jeremy A LombardoDepartment of Biomedical Engineering, Henry Samueli School of Engineering, University of California Irvine, Irvine, CA, 9269, USA.
Katrina M HenriksonDepartment of Biomedical Engineering, Henry Samueli School of Engineering, University of California Irvine, Irvine, CA, 9269, USA.
Marissa PennellDepartment of Biomedical Engineering, Henry Samueli School of Engineering, University of California Irvine, Irvine, CA, 9269, USA.
Pedram P PourfardDepartment of Biomedical Engineering, Henry Samueli School of Engineering, University of California Irvine, Irvine, CA, 9269, USA.
Edward L NelsonDepartment of Medicine, Division of Hematology/Oncology, School of Medicine, University of California, Irvine, Irvine, CA, 92697, USA.ORCID 0000-0001-7887-032X
Pulak NathApplied Modern Physics, Los Alamos National Laboratory, Los Alamos, NM, 87545, USA.
Jered B HaunDepartment of Biomedical Engineering, Henry Samueli School of Engineering, University of California Irvine, Irvine, CA, 9269, USA. jered.haun@uci.edu.ORCID 0000-0002-6095-1778

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Elisa de Stanchina · 1985 to 2026
$347.4M
Univ.of Calif., Irvine Cancer Center Support GrantP30CA062203 · NCI · UNIVERSITY OF CALIFORNIA-IRVINE · PI Joel E Milam · 1994 to 2026
$57.9M
NCI NIH HHS P30 CA008748NCI NIH HHS P30 CA062203
6 · The paper itself

Abstract

Maximizing the speed and efficiency at which single cells can be liberated from tissues would dramatically advance cell-based diagnostics and therapies. Conventional methods involve numerous manual processing steps and long enzymatic digestion times, yet are still inefficient. In previous work, we developed a microfluidic device with a network of branching channels to improve the dissociation of cell aggregates into single cells. However, this device was not tested on tissue specimens, and further development was limited by high cost and low feature resolution. In this work, we utilized a single layer, laser micro-machined polyimide film as a rapid prototyping tool to optimize the design of our microfluidic channels to maximize dissociation efficiency. This resulted in a new design with smaller dimensions and a shark fin geometry, which increased recovery of single cells from cancer cell aggregates. We then tested device performance on mouse kidney tissue, and found that optimal results were obtained using two microfluidic devices in series, the larger original design followed by the new shark fin design as a final polishing step. We envision our microfluidic dissociation devices being used in research and clinical settings to generate single cells from various tissue specimens for diagnostic and therapeutic applications.

Indexed as

Cell AggregationLab-On-A-Chip DevicesAnimalsCell SeparationEquipment DesignHumansHydrodynamicsKidneyMCF-7 CellsMiceMice, Inbred BALB CMice, Inbred C57BLMicrofluidic Analytical Techniques

Identifiers

PMID29426941
PMCPMC5807353

What OpenQuestion holds

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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.