Evidence map›Paper›PMID 36056380›Full record

ArticleStem cell research & therapy2022

Time-regulated transcripts with the potential to modulate human pluripotent stem cell-derived cardiomyocyte differentiation.

Juan J A M Muñoz, Rafael Dariolli, Caio Mateus da Silva, Elida A Neri, Iuri C Valadão, Lauro Thiago Turaça, Vanessa M Lima, Mariana Lombardi Peres de Carvalho, Mariliza R Velho, Eric A Sobie and 1 more

Open access · goldAbstract read
In one paragraph

Article in Stem cell research & therapy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.5field-weighted citation impact, top 38% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Engineering the maturation of stem cell-derived cardiomyocytes.Frontiers in bioengineering and biotechnology · 2023
    Pooled it
  2. Article
  3. Article
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 at 3 institutions in 3 countries.

Juan J A M Muñoz *Laboratory of Genetics and Molecular Cardiology/LIM 13, Heart Institute (InCor), University of São Paulo Medical School, Avenida Dr. Eneas C. Aguiar 44, São Paulo, SP, 05403-000, Brazil.
Rafael Dariolli *Laboratory of Genetics and Molecular Cardiology/LIM 13, Heart Institute (InCor), University of São Paulo Medical School, Avenida Dr. Eneas C. Aguiar 44, São Paulo, SP, 05403-000, Brazil.
Caio Mateus da Silva *Laboratory of Genetics and Molecular Cardiology/LIM 13, Heart Institute (InCor), University of São Paulo Medical School, Avenida Dr. Eneas C. Aguiar 44, São Paulo, SP, 05403-000, Brazil.
Elida A Neri *Laboratory of Genetics and Molecular Cardiology/LIM 13, Heart Institute (InCor), University of São Paulo Medical School, Avenida Dr. Eneas C. Aguiar 44, São Paulo, SP, 05403-000, Brazil.
Iuri C ValadãoLaboratory of Genetics and Molecular Cardiology/LIM 13, Heart Institute (InCor), University of São Paulo Medical School, Avenida Dr. Eneas C. Aguiar 44, São Paulo, SP, 05403-000, Brazil.
Lauro Thiago TuraçaLaboratory of Genetics and Molecular Cardiology/LIM 13, Heart Institute (InCor), University of São Paulo Medical School, Avenida Dr. Eneas C. Aguiar 44, São Paulo, SP, 05403-000, Brazil.
Vanessa M LimaLaboratory of Genetics and Molecular Cardiology/LIM 13, Heart Institute (InCor), University of São Paulo Medical School, Avenida Dr. Eneas C. Aguiar 44, São Paulo, SP, 05403-000, Brazil.
Mariana Lombardi Peres de CarvalhoLaboratory of Genetics and Molecular Cardiology/LIM 13, Heart Institute (InCor), University of São Paulo Medical School, Avenida Dr. Eneas C. Aguiar 44, São Paulo, SP, 05403-000, Brazil.
Mariliza R VelhoLaboratory of Genetics and Molecular Cardiology/LIM 13, Heart Institute (InCor), University of São Paulo Medical School, Avenida Dr. Eneas C. Aguiar 44, São Paulo, SP, 05403-000, Brazil.
Eric A SobieDepartment of Pharmacological Sciences, Graduate School of Biomedical Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Jose E KriegerLaboratory of Genetics and Molecular Cardiology/LIM 13, Heart Institute (InCor), University of São Paulo Medical School, Avenida Dr. Eneas C. Aguiar 44, São Paulo, SP, 05403-000, Brazil. j.krieger@hc.fm.usp.br.
Universidade de São Paulo · BRIcahn School of Medicine at Mount Sinai · USUniversidad Señor de Sipán · PE

Funding

Multiscale modeling to map cardiac electrophysiology between speciesU01HL136297 · NHLBI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI CHRISTINI, DAVID J., SOBIE, ERIC A · 2017 to 2021
$3.2M
NHLBI NIH HHS U01 HL136297
6 · The paper itself

Abstract

backgroundHuman-induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CM) are a promising disease model, even though hiPSC-CMs cultured for extended periods display an undifferentiated transcriptional landscape. MiRNA-target gene interactions contribute to fine-tuning the genetic program governing cardiac maturation and may uncover critical pathways to be targeted.

methodsWe analyzed a hiPSC-CM public dataset to identify time-regulated miRNA-target gene interactions based on three logical steps of filtering. We validated this process in silico using 14 human and mouse public datasets, and further confirmed the findings by sampling seven time points over a 30-day protocol with a hiPSC-CM clone developed in our laboratory. We then added miRNA mimics from the top eight miRNAs candidates in three cell clones in two different moments of cardiac specification and maturation to assess their impact on differentiation characteristics including proliferation, sarcomere structure, contractility, and calcium handling.

resultsWe uncovered 324 interactions among 29 differentially expressed genes and 51 miRNAs from 20,543 transcripts through 120 days of hiPSC-CM differentiation and selected 16 genes and 25 miRNAs based on the inverse pattern of expression (Pearson R-values < - 0.5) and consistency in different datasets. We validated 16 inverse interactions among eight genes and 12 miRNAs (Person R-values < - 0.5) during hiPSC-CMs differentiation and used miRNAs mimics to verify proliferation, structural and functional features related to maturation. We also demonstrated that miR-124 affects Ca

conclusionWe uncovered time-regulated transcripts influencing pathways affecting cardiac differentiation/maturation axis and showed that the top-scoring miRNAs indeed affect primarily structural features highlighting their role in the hiPSC-CM maturation.

Indexed as

Induced Pluripotent Stem CellsMicroRNAsPluripotent Stem CellsAnimalsCell DifferentiationCells, CulturedHumansMiceMyocytes, CardiacMicroRNAsCardiac differentiationhiPSC-CMmiRNATime-dependent regulated transcripts

Identifiers

PMID36056380
PMCPMC9438174
OpenAlexW4294243209

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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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.