Evidence map›Paper›PMID 32440533›Full record

ArticleScience advances2020

Ultrasensitive and rapid quantification of rare tumorigenic stem cells in hPSC-derived cardiomyocyte populations.

Zongjie Wang, Mark Gagliardi, Reza M Mohamadi, Sharif U Ahmed, Mahmoud Labib, Libing Zhang, Sandra Popescu, Yuxiao Zhou, Edward H Sargent, Gordon M Keller and 1 more

Abstract read
In one paragraph

Article in Science advances, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

21 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Stem cell therapies for diabetes.Nature medicine · 2025
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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

11 authors.

Zongjie WangThe Edward S. Rogers Sr. Department of Electrical and Computer Engineering, University of Toronto, Toronto, ON M5S 3G4, Canada.ORCID 0000-0001-9900-7197
Mark GagliardiMcEwen Stem Cell Institute, University Health Network, Toronto, ON M5G 1L7, Canada.ORCID 0000-0002-1283-2176
Reza M MohamadiLeslie Dan Faculty of Pharmacy, University of Toronto, Toronto, ON M5S 3M2, Canada.ORCID 0000-0003-0580-3075
Sharif U AhmedLeslie Dan Faculty of Pharmacy, University of Toronto, Toronto, ON M5S 3M2, Canada.
Mahmoud LabibLeslie Dan Faculty of Pharmacy, University of Toronto, Toronto, ON M5S 3M2, Canada.ORCID 0000-0003-4565-2056
Libing ZhangLeslie Dan Faculty of Pharmacy, University of Toronto, Toronto, ON M5S 3M2, Canada.
Sandra PopescuLeslie Dan Faculty of Pharmacy, University of Toronto, Toronto, ON M5S 3M2, Canada.
Yuxiao ZhouLeslie Dan Faculty of Pharmacy, University of Toronto, Toronto, ON M5S 3M2, Canada.
Edward H SargentThe Edward S. Rogers Sr. Department of Electrical and Computer Engineering, University of Toronto, Toronto, ON M5S 3G4, Canada.ORCID 0000-0003-0396-6495
Gordon M KellerMcEwen Stem Cell Institute, University Health Network, Toronto, ON M5G 1L7, Canada.
Shana O KelleyInstitute of Biomaterials and Biomedical Engineering, University of Toronto, Toronto, ON M5S 3G9, Canada.ORCID 0000-0003-3360-5359

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The ability to detect rare human pluripotent stem cells (hPSCs) in differentiated populations is critical for safeguarding the clinical translation of cell therapy, as these undifferentiated cells have the capacity to form teratomas in vivo. The detection of hPSCs must be performed using an approach compatible with traceable manufacturing of therapeutic cell products. Here, we report a novel microfluidic approach, stem cell quantitative cytometry (SCQC), for the quantification of rare hPSCs in hPSC-derived cardiomyocyte (CM) populations. This approach enables the ultrasensitive capture, profiling, and enumeration of trace levels of hPSCs labeled with magnetic nanoparticles in a low-cost, manufacturable microfluidic chip. We deploy SCQC to assess the tumorigenic risk of hPSC-derived CM populations in vivo. In addition, we isolate rare hPSCs from the differentiated populations using SCQC and characterize their pluripotency.

Indexed as

Myocytes, CardiacPluripotent Stem CellsCell- and Tissue-Based TherapyCell DifferentiationHumans

Identifiers

PMID32440533
PMCPMC7227422

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.