Evidence map›Paper›PMID 35688152›Full record

ArticleStem cell reports2022

Purification of human iPSC-derived cells at large scale using microRNA switch and magnetic-activated cell sorting.

Yuta Tsujisaka, Takeshi Hatani, Chikako Okubo, Ryo Ito, Azuma Kimura, Megumi Narita, Kazuhisa Chonabayashi, Shunsuke Funakoshi, Antonio Lucena-Cacace, Taro Toyoda and 4 more

Open access · goldAbstract read
In one paragraph

Article in Stem cell reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

16 citing papers in PubMed, 30 citations in OpenAlex.

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  10. Progress in preclinical research on induced pluripotent stem cell therapy for acute myocardial infarction.Zhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences · 2024
    Review
  11. Article
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  16. iPSC-based approach for human hair follicle regeneration.Frontiers in cell and developmental biology · 2023
    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

14 authors at 1 institution in 1 country.

Yuta TsujisakaCenter for iPS Cell Research and Application, Kyoto University, Kyoto 606-8507, Japan; Department of Cardiovascular Medicine, Graduate School of Medicine, Kyoto University, Kyoto 606-8507, Japan.
Takeshi HataniCenter for iPS Cell Research and Application, Kyoto University, Kyoto 606-8507, Japan; Department of Cardiovascular Medicine, Graduate School of Medicine, Kyoto University, Kyoto 606-8507, Japan.
Chikako OkuboCenter for iPS Cell Research and Application, Kyoto University, Kyoto 606-8507, Japan.
Ryo ItoCenter for iPS Cell Research and Application, Kyoto University, Kyoto 606-8507, Japan.
Azuma KimuraCenter for iPS Cell Research and Application, Kyoto University, Kyoto 606-8507, Japan.
Megumi NaritaCenter for iPS Cell Research and Application, Kyoto University, Kyoto 606-8507, Japan.
Kazuhisa ChonabayashiCenter for iPS Cell Research and Application, Kyoto University, Kyoto 606-8507, Japan; Department of Hematology and Oncology, Graduate School of Medicine, Kyoto University, Kyoto 606-8507, Japan.
Shunsuke FunakoshiCenter for iPS Cell Research and Application, Kyoto University, Kyoto 606-8507, Japan; Takeda-CiRA Joint Program (T-CiRA), Fujisawa 251-0012, Japan.
Antonio Lucena-CacaceCenter for iPS Cell Research and Application, Kyoto University, Kyoto 606-8507, Japan.
Taro ToyodaCenter for iPS Cell Research and Application, Kyoto University, Kyoto 606-8507, Japan.
Kenji OsafuneCenter for iPS Cell Research and Application, Kyoto University, Kyoto 606-8507, Japan.
Takeshi KimuraDepartment of Cardiovascular Medicine, Graduate School of Medicine, Kyoto University, Kyoto 606-8507, Japan.
Hirohide SaitoCenter for iPS Cell Research and Application, Kyoto University, Kyoto 606-8507, Japan. Electronic address: hirohide.saito@cira.kyoto-u.ac.jp.
Yoshinori YoshidaCenter for iPS Cell Research and Application, Kyoto University, Kyoto 606-8507, Japan; Takeda-CiRA Joint Program (T-CiRA), Fujisawa 251-0012, Japan. Electronic address: yoshinor@cira.kyoto-u.ac.jp.
Kyoto University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

For regenerative cell therapies using pluripotent stem cell (PSC)-derived cells, large quantities of purified cells are required. Magnetic-activated cell sorting (MACS) is a powerful approach to collect target antigen-positive cells; however, it remains a challenge to purify various cell types efficiently at large scale without using antibodies specific to the desired cell type. Here we develop a technology that combines microRNA (miRNA)-responsive mRNA switch (miR-switch) with MACS (miR-switch-MACS) to purify large amounts of PSC-derived cells rapidly and effectively. We designed miR-switches that detect specific miRNAs expressed in target cells and controlled the translation of a CD4-coding transgene as a selection marker for MACS. For the large-scale purification of induced PSC-derived cardiomyocytes (iPSC-CMs), we transferred miR-208a-CD4 switch-MACS and obtained purified iPSC-CMs efficiently. Moreover, miR-375-CD4 switch-MACS highly purified pancreatic insulin-producing cells and their progenitors expressing Chromogranin A. Overall, the miR-switch-MACS method can efficiently purify target PSC-derived cells for cell replacement therapy.

Indexed as

Induced Pluripotent Stem CellsMicroRNAsCell DifferentiationCell SeparationHumansMagnetic PhenomenaMicroRNAscardiomyocytescell replacement therapyiPSC-derived cellsmagnetic-activated cell sortingMicroRNA switchesmiR-208amiR-375purification

Identifiers

PMID35688152
PMCPMC9287667
OpenAlexW4281747968

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.