Evidence map›Paper›PMID 35293406›Full record

ArticleLab on a chip2022

IL-2 secretion-based sorting of single T cells using high-throughput microfluidic on-cell cytokine capture.

Robert Dimatteo, Dino Di Carlo

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 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
3.1field-weighted citation impact, top 7% 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

15 citing papers in PubMed, 31 citations in OpenAlex.

  1. Article
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  4. Review
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  8. Three-dimensional isotropic imaging of live suspension cells enabled by droplet microvortices.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  9. Deciphering the aging process through single-cell cytometric technologies.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2024
    Review
  10. Article
  11. Article
  12. Article
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  15. 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

2 authors at 2 institutions in 1 country.

Robert DimatteoDepartment of Chemical and Biomolecular Engineering, University of California, Los Angeles, 5531 Boelter Hall, P.O. Box 951592, Los Angeles, CA, 90095, USA.
Dino Di CarloDepartment of Bioengineering, University of California, Los Angeles, 420 Westwood Plaza, 5121 Engineering V, P.O. Box 951600, Los Angeles, CA 90095, USA. dicarlo@seas.ucla.edu.ORCID 0000-0003-3942-4284
California NanoSystems Institute · USUniversity of California, Los Angeles · US

Funding

Women's CancersP30CA016042 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Samuel Wheeler French · 1985 to 2026
$134.5M
Virology CoreP30AI028697 · NIAID · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI KITCHEN, SCOTT G · 1991 to 2018
$39.9M
Lab on a particle technology for functional screening of therapeutic cellsR21CA256084 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI DI CARLO, DINO · 2021 to 2022
$510k
NCI NIH HHS P30 CA016042NCI NIH HHS R21 CA256084NIAID NIH HHS P30 AI028697
6 · The paper itself

Abstract

Secreted proteins are critical for the coordination of potent immune defenses, such as in engineered T cell therapies, however, there are few widely accessible approaches to accurately analyze and sort large numbers of cells based on their secretory functions. We report a workflow for the rapid screening and sorting of single individual T cells based on IL-2 secretion accumulated at high concentrations in nanoliter droplets and encoded back onto the secreting cell's surface. In our method, droplets are used solely to partition cells, enabling rapid accumulation of signals onto cell surfaces, and eliminating diffusive crosstalk between neighbors. All downstream sorting leverages conventional high-throughput and readily accessible flow cytometry after the emulsion is disrupted. We achieve monodisperse droplet generation (CV < 10%) at flow rates up to 200 μL min

Indexed as

Interleukin-2MicrofluidicsCytokinesFlow CytometryT-LymphocytesCytokinesInterleukin-2

Identifiers

PMID35293406
PMCPMC9013285
OpenAlexW4221068328

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.