Evidence map›Paper›PMID 31817408›Full record

ArticleMicromachines2019

A New Microfluidic Platform for Studying Natural Killer Cell and Dendritic Cell Interactions.

Jolly Hipolito, Hagit Peretz-Soroka, Manli Zhang, Ke Yang, Soheila Karimi-Abdolrezaee, Francis Lin, Sam K P Kung

Open access · goldAbstract read
In one paragraph

Article in Micromachines, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.2field-weighted citation impact, top 46% 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

6 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Natural Killer Cell Mechanosensing in Solid Tumors.Bioengineering (Basel, Switzerland) · 2024
    Review
  5. Article
  6. 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

7 authors at 1 institution in 1 country.

Jolly HipolitoDepartment of Immunology, University of Manitoba, 417 Apotex Centre, 750 McDermot Avenue, Winnipeg, MB R3E 0T5, Canada.
Hagit Peretz-SorokaDepartment of Physics and Astronomy, University of Manitoba, Winnipeg, MB R3T 2N2, Canada.
Manli ZhangDepartment of Immunology, University of Manitoba, 417 Apotex Centre, 750 McDermot Avenue, Winnipeg, MB R3E 0T5, Canada.
Ke YangDepartment of Physics and Astronomy, University of Manitoba, Winnipeg, MB R3T 2N2, Canada.
Soheila Karimi-AbdolrezaeeDepartment of Physiology and Pathophysiology, University of Manitoba, Winnipeg, MB R3E 0T5, Canada.
Francis LinDepartment of Immunology, University of Manitoba, 417 Apotex Centre, 750 McDermot Avenue, Winnipeg, MB R3E 0T5, Canada.ORCID 0000-0003-1736-193X
Sam K P KungDepartment of Immunology, University of Manitoba, 417 Apotex Centre, 750 McDermot Avenue, Winnipeg, MB R3E 0T5, Canada.
University of Manitoba · CA

Funding

Natural Sciences and Engineering Research Council of Canada RGPIN-2015-04144
6 · The paper itself

Abstract

The importance of the bi-directional natural killer-dendritic cell crosstalk in coordinating anti-tumour and anti-microbial responses in vivo has been well established. However, physical parameters associated with natural killer-dendritic cell interactions have not been fully elucidated. We have previously used a simple "Y" shaped microfluidic device to study natural killer cell-migratory responses toward chemical gradients from a conditioned medium of dendritic cells. There are, however, limitations of the Y-shaped microfluidic devices that could not support higher throughput analyses and studies of cell-cell interactions. Here, we report two novel microfluidic devices (D

Indexed as

crosstalkdendriticinteractionmicrofluidic devicemigrationnatural killer

Identifiers

PMID31817408
PMCPMC6952968
OpenAlexW2993346815

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.