Evidence map›Paper›PMID 35904070›Full record

ArticleLab on a chip2022

Droplet microfluidics for functional temporal analysis and cell recovery on demand using microvalves: application in immunotherapies for cancer.

Sagar N Agnihotri, Giovanni Stefano Ugolini, Matthew Ryan Sullivan, Yichao Yang, Agustin De Ganzó, Ji Won Lim, Tania Konry

Open access · greenAbstract read
In one paragraph

Article in Lab on a chip, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
2.2field-weighted citation impact, top 13% 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

20 citing papers in PubMed, 28 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

7 authors at 1 institution in 1 country.

Sagar N AgnihotriDepartment of Pharmaceutical Sciences, School of Pharmacy, Northeastern University, Boston, MA 02115, USA. t.konry@northeastern.edu.ORCID 0000-0003-0943-6751
Giovanni Stefano UgoliniDepartment of Pharmaceutical Sciences, School of Pharmacy, Northeastern University, Boston, MA 02115, USA. t.konry@northeastern.edu.
Matthew Ryan SullivanDepartment of Pharmaceutical Sciences, School of Pharmacy, Northeastern University, Boston, MA 02115, USA. t.konry@northeastern.edu.
Yichao YangDepartment of Pharmaceutical Sciences, School of Pharmacy, Northeastern University, Boston, MA 02115, USA. t.konry@northeastern.edu.
Agustin De GanzóDepartment of Pharmaceutical Sciences, School of Pharmacy, Northeastern University, Boston, MA 02115, USA. t.konry@northeastern.edu.ORCID 0000-0001-8332-4518
Ji Won LimDepartment of Pharmaceutical Sciences, School of Pharmacy, Northeastern University, Boston, MA 02115, USA. t.konry@northeastern.edu.
Tania KonryDepartment of Pharmaceutical Sciences, School of Pharmacy, Northeastern University, Boston, MA 02115, USA. t.konry@northeastern.edu.
Northeastern University · US

Funding

Determining treatment sensitivity in B cell lymphoma by novel microfluidics-based NK cell immunogenicity platformR33CA223908 · NCI · NORTHEASTERN UNIVERSITY · PI EVENS, ANDREW M, HUANG, TONY JUN · 2018 to 2020
$1.2M
An integrated acoustofluidic droplet-sorting platform for classification of lymphocyte activity and functional phenotyping at single cell levelR01GM127714 · NIGMS · NORTHEASTERN UNIVERSITY · PI KONRY, TANIA TALI · 2018 to 2021
$1.2M
NCI NIH HHS R33 CA223908NIGMS NIH HHS R01 GM127714
6 · The paper itself

Abstract

Most common methods of cellular analysis employ the top-down approach (investigating proteomics or genomics directly), thereby destroying the cell, which does not allow the possibility of using the same cell to correlate genomics with functional assays. Herein we describe an approach for single-cell tools that serve as a bottom-up approach. Our technology allows functional phenotyping to be conducted by observing the cytotoxicity of cells and then probe the underlying biology. We have developed a droplet microfluidic device capable of trapping droplets in the array and releasing the droplet of interest selectively using microvalves. Each droplet in the array encapsulates natural killer cells (NK cells) and tumour cells for real-time monitoring of burst kinetics and spatial coordination during killing by single NK cells. Finally, we use the microvalve actuation to selectively release droplets with the desired functional phenotype such as for fast and serial killing of target tumour cells by NK cells. From this perspective, our device allows for investigating first interactions and real-time monitoring of kinetics and later cell recovery on demand for single-cell omic analysis such as single-cell RNA sequencing (scRNA), which to date, is primarily based on in-depth analyses of the entire transcriptome of a relatively low number of cells.

Indexed as

Microfluidic Analytical TechniquesNeoplasmsHumansImmunotherapyLab-On-A-Chip DevicesMicrofluidicsSingle-Cell Analysis

Identifiers

PMID35904070
PMCPMC9535857
OpenAlexW4285744547

What OpenQuestion holds

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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.