Evidence map›Paper›PMID 35874174›Full record

ReviewMicrosystems & nanoengineering2022

Single-cell sorting based on secreted products for functionally defined cell therapies.

Hiromi Miwa, Robert Dimatteo, Joseph de Rutte, Rajesh Ghosh, Dino Di Carlo

Open access · goldAbstract readReview
In one paragraph

Review in Microsystems & nanoengineering, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
3.8field-weighted citation impact, top 6% 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

25 citing papers in PubMed, 49 citations in OpenAlex.

  1. Review
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  15. Review
  16. 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
  17. Lab on a Particle Technologies.Analytical chemistry · 2024
    Review
  18. Article
  19. Review
  20. 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

5 authors at 1 institution in 1 country.

Hiromi MiwaDepartment of Bioengineering, University of California - Los Angeles, Los Angeles, CA 90095 USA.
Robert DimatteoDepartment of Chemical and Biomolecular Engineering, University of California - Los Angeles, Los Angeles, CA 90095 USA.
Joseph de RutteDepartment of Bioengineering, University of California - Los Angeles, Los Angeles, CA 90095 USA.
Rajesh GhoshDepartment of Bioengineering, University of California - Los Angeles, Los Angeles, CA 90095 USA.
Dino Di CarloDepartment of Bioengineering, University of California - Los Angeles, Los Angeles, CA 90095 USA.
University of California, Los Angeles · US

Funding

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
Hydrogel nanovial technology for single-cell sorting based on extracellular vesicle productionR21GM142174 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI DI CARLO, DINO · 2021 to 2022
$391k
Enhancing the potency of mesenchymal stem cell therapies for kidney diseases using lab-on-a-particle technologyR21DK128730 · NIDDK · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI DI CARLO, DINO · 2021 to 2021
$185k
NCI NIH HHS R21 CA256084NIDDK NIH HHS R21 DK128730NIGMS NIH HHS R21 GM142174
6 · The paper itself

Abstract

Cell therapies have emerged as a promising new class of "living" therapeutics over the last decade and have been particularly successful for treating hematological malignancies. Increasingly, cellular therapeutics are being developed with the aim of treating almost any disease, from solid tumors and autoimmune disorders to fibrosis, neurodegenerative disorders and even aging itself. However, their therapeutic potential has remained limited due to the fundamental differences in how molecular and cellular therapies function. While the structure of a molecular therapeutic is directly linked to biological function, cells with the same genetic blueprint can have vastly different functional properties (e.g., secretion, proliferation, cell killing, migration). Although there exists a vast array of analytical and preparative separation approaches for molecules, the functional differences among cells are exacerbated by a lack of functional potency-based sorting approaches. In this context, we describe the need for next-generation single-cell profiling microtechnologies that allow the direct evaluation and sorting of single cells based on functional properties, with a focus on secreted molecules, which are critical for the in vivo efficacy of current cell therapies. We first define three critical processes for single-cell secretion-based profiling technology: (1) partitioning individual cells into uniform compartments; (2) accumulating secretions and labeling via reporter molecules; and (3) measuring the signal associated with the reporter and, if sorting, triggering a sorting event based on these reporter signals. We summarize recent academic and commercial technologies for functional single-cell analysis in addition to sorting and industrial applications of these technologies. These approaches fall into three categories: microchamber, microfluidic droplet, and lab-on-a-particle technologies. Finally, we outline a number of unmet needs in terms of the discovery, design and manufacturing of cellular therapeutics and how the next generation of single-cell functional screening technologies could allow the realization of robust cellular therapeutics for all patients.

Indexed as

MicrofluidicsNanoscience and technology

Identifiers

PMID35874174
PMCPMC9303846
OpenAlexW4286433105

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.