ArticleScientific reports2019
CXCL4/PF4 is a predictive biomarker of cardiac differentiation potential of human induced pluripotent stem cells.
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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.
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.
Who cites it
12 citing papers in PubMed, 14 citations in OpenAlex.
- Early multi-omic signatures and machine learning models predict cardiomyocyte differentiation efficiency and enable robust hPSC differentiation to cardiomyocytes.bioRxiv : the preprint server for biology · 2026Article
- Transcriptome and epigenome dynamics of the clonal heterogeneity of human induced pluripotent stem cells for cardiac differentiation.Cellular and molecular life sciences : CMLS · 2024Article
- Considerations for the development of iPSC-derived cell therapies: a review of key challenges by the JSRM-ISCT iPSC Committee.Cytotherapy · 2024Review
- TMEM182 inhibits myocardial differentiation of human iPS cells by maintaining the activated state of Wnt/β-catenin signaling through an increase in ILK expression.FASEB bioAdvances · 2024Article
- Modeling mutation-specific arrhythmogenic phenotypes in isogenic human iPSC-derived cardiac tissues.Scientific reports · 2024Article
- ROR2 expression predicts human induced pluripotent stem cell differentiation into neural stem/progenitor cells and GABAergic neurons.Scientific reports · 2024Article
- Quantitative Proteomics for the Development and Manufacturing of Human-Induced Pluripotent Stem Cell-Derived Neural Stem Cells Using Data-Independent Acquisition Mass Spectrometry.Journal of proteome research · 2023Article
- Variation of DNA methylation on theRegenerative therapy · 2022Article
- Data Mining IdentifiesLife (Basel, Switzerland) · 2022Article
- The Human Induced Pluripotent Stem Cell Test as an Alternative Method for Embryotoxicity Testing.International journal of molecular sciences · 2022Article
- Pregestational diabetes alters cardiac structure and function of neonatal rats through developmental plasticity.Frontiers in cardiovascular medicine · 2022Article
- Identification of six hub genes and analysis of their correlation with drug sensitivity in acute myeloid leukemia through bioinformatics.Translational cancer research · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Selection of human induced pluripotent stem cell (hiPSC) lines with high cardiac differentiation potential is important for regenerative therapy and drug screening. We aimed to identify biomarkers for predicting cardiac differentiation potential of hiPSC lines by comparing the gene expression profiles of six undifferentiated hiPSC lines with different cardiac differentiation capabilities. We used three platforms of gene expression analysis, namely, cap analysis of gene expression (CAGE), mRNA array, and microRNA array to efficiently screen biomarkers related to cardiac differentiation of hiPSCs. Statistical analysis revealed candidate biomarker genes with significant correlation between the gene expression levels in the undifferentiated hiPSCs and their cardiac differentiation potential. Of the candidate genes, PF4 was validated as a biomarker expressed in undifferentiated hiPSCs with high potential for cardiac differentiation in 13 additional hiPSC lines. Our observations suggest that PF4 may be a useful biomarker for selecting hiPSC lines appropriate for the generation of cardiomyocytes.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.