Evidence map›Paper›PMID 33577777›Full record

ArticleJournal of immunological methods2021

Non-invasive image-based cytometry for high throughput NK cell cytolysis analysis.

Riya S Patel, John Lucas, Lauren M Timmins, Shilpaa Mukundan, Matthew Teryek, Rachana Bhatt, Aimee Beaulieu, Biju Parekkadan

Open access · greenAbstract read
In one paragraph

Article in Journal of immunological methods, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.2field-weighted citation impact, top 51% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. 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 1 institution in 1 country.

Riya S PatelDepartment of Biomedical Engineering, Rutgers University, Piscataway, NJ 08854, USA.
John LucasDepartment of Biomedical Engineering, Rutgers University, Piscataway, NJ 08854, USA.
Lauren M TimminsDepartment of Biomedical Engineering, Rutgers University, Piscataway, NJ 08854, USA.
Shilpaa MukundanDepartment of Biomedical Engineering, Rutgers University, Piscataway, NJ 08854, USA.
Matthew TeryekDepartment of Biomedical Engineering, Rutgers University, Piscataway, NJ 08854, USA.
Rachana BhattDepartment of Biomedical Engineering, Rutgers University, Piscataway, NJ 08854, USA.
Aimee BeaulieuCancer Center, Rutgers University, Newark, NJ, USA.
Biju ParekkadanDepartment of Biomedical Engineering, Rutgers University, Piscataway, NJ 08854, USA; Department of Medicine, Rutgers Biomedical Health Sciences, New Brunswick, NJ 088, USA. Electronic address: biju.parekkadan@rutgers.edu.
Rutgers, The State University of New Jersey · US

Funding

Artificial, Humanized Stem Cell NichesR01EB012521 · NIBIB · RUTGERS, THE STATE UNIV OF N.J. · PI PAREKKADAN, BIJU · 2011 to 2021
$6.0M
Birc5 as a regulator of NK cell development and immune functionR01HL139818 · NHLBI · RUTGERS BIOMEDICAL AND HEALTH SCIENCES · PI BEAULIEU, AIMEE MELISSA · 2019 to 2023
$1.9M
Theranostic approach to transplant rejection using engineered cell biosensorsR21AI134116 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI PAREKKADAN, BIJU, UYGUN, KORKUT · 2018 to 2019
$463k
NHLBI NIH HHS R01 HL139818NIAID NIH HHS R21 AI134116NIBIB NIH HHS R01 EB012521
6 · The paper itself

Abstract

Natural Killer (NK) cells are lymphocytes that are the first line of defense against malignantly transformed cells, virally infected cells and other stressed cell types. To study the cytolytic function of NK cells in vitro, a cytotoxicity assay is normally conducted against a target cancerous cell line. Current assay methods are typically performed in mixed 2D cocultures with destructive endpoints and low throughput, thereby limiting the scale, time-resolution, and relevance of the assay to in vivo conditions. Here, we evaluated a novel, non-invasive, quantitative image-based cytometry (qIBC) assay for detection of NK-mediated killing of target cells in 2D and 3D environments in vitro and compared its performance to two common flow cytometry- and fluorescence-based cytotoxicity assays. Similar to the other methods evaluated, the qIBC assay allowed for reproducible detection of target cell killing across a range of effector-to-target ratios with reduced variability. The qIBC assay also allowed for detection of NK cytolysis in 3D spheroids, which enabled scalable measurements of cell cytotoxicity in 3D models. Our findings suggest that quantitative image-based cytometry would be suitable for rapid, high-throughput screening of NK cytolysis in vitro, including in quasi-3D structures that model tissue environments in vivo.

Indexed as

Cytotoxicity Tests, ImmunologicFlow CytometryHumansImage CytometryK562 CellsKiller Cells, NaturalSpheroids, CellularHigh-throughputNatural killerNK cell therapyQuantitative image-based cytometry

Identifiers

PMID33577777
PMCPMC8112353
OpenAlexW3128360308

What OpenQuestion holds

Textmetadata
LicenceTDM
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.