Evidence map›Paper›PMID 29312292›Full record

ArticleFrontiers in immunology2017

Dynamic Analysis of Human Natural Killer Cell Response at Single-Cell Resolution in B-Cell Non-Hodgkin Lymphoma.

Saheli Sarkar, Pooja Sabhachandani, Dashnamoorthy Ravi, Sayalee Potdar, Sneha Purvey, Afshin Beheshti, Andrew M Evens, Tania Konry

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
2.1field-weighted citation impact, top 12% 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

30 citing papers in PubMed, 53 citations in OpenAlex.

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  13. Droplets microfluidics platform-A tool for single cell research.Frontiers in bioengineering and biotechnology · 2023
    Review
  14. Microfluidic T Cell Selection by Cellular Avidity.Advanced healthcare materials · 2022
    Article
  15. Review
  16. Article
  17. Review
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  20. Engineered Tools to Study Intercellular Communication.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2021
    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

8 authors at 2 institutions in 1 country.

Saheli SarkarDepartment of Pharmaceutical Sciences, Northeastern University, Boston, MA, United States.
Pooja SabhachandaniDepartment of Pharmaceutical Sciences, Northeastern University, Boston, MA, United States.
Dashnamoorthy RaviDivision of Hematology/Oncology, Molecular Oncology Research Institute, Tufts Medical Center, Boston, MA, United States.
Sayalee PotdarDepartment of Pharmaceutical Sciences, Northeastern University, Boston, MA, United States.
Sneha PurveyDivision of Hematology/Oncology, Molecular Oncology Research Institute, Tufts Medical Center, Boston, MA, United States.
Afshin BeheshtiDivision of Hematology/Oncology, Molecular Oncology Research Institute, Tufts Medical Center, Boston, MA, United States.
Andrew M EvensDivision of Hematology/Oncology, Molecular Oncology Research Institute, Tufts Medical Center, Boston, MA, United States.
Tania KonryDepartment of Pharmaceutical Sciences, Northeastern University, Boston, MA, United States.
Molecular Oncology (United States) · USNortheastern University · US

Funding

Tufts Clinical and Translational Research InstituteUL1TR001064 · NCATS · TUFTS UNIVERSITY BOSTON · PI SELKER, HARRY P. · 2013 to 2017
$26.4M
NCATS NIH HHS UL1 TR001064
6 · The paper itself

Abstract

Natural killer (NK) cells are phenotypically and functionally diverse lymphocytes that recognize and kill cancer cells. The susceptibility of target cancer cells to NK cell-mediated cytotoxicity depends on the strength and balance of regulatory (activating/inhibitory) ligands expressed on target cell surface. We performed gene expression arrays to determine patterns of NK cell ligands associated with B-cell non-Hodgkin lymphoma (b-NHL). Microarray analyses revealed significant upregulation of a multitude of NK-activating and costimulatory ligands across varied b-NHL cell lines and primary lymphoma cells, including ULBP1, CD72, CD48, and SLAMF6. To correlate genetic signatures with functional anti-lymphoma activity, we developed a dynamic and quantitative cytotoxicity assay in an integrated microfluidic droplet generation and docking array. Individual NK cells and target lymphoma cells were co-encapsulated in picoliter-volume droplets to facilitate monitoring of transient cellular interactions and NK cell effector outcomes at single-cell level. We identified significant variability in NK-lymphoma cell contact duration, frequency, and subsequent cytolysis. Death of lymphoma cells undergoing single contact with NK cells occurred faster than cells that made multiple short contacts. NK cells also killed target cells in droplets

Indexed as

dynamic analysislymphomamicrofluidic systemnatural killer cell cytotoxicitynon-Hodgkinsingle cell

Identifiers

PMID29312292
PMCPMC5735063
OpenAlexW2772561305

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.