Evidence map›Paper›PMID 39125582›Full record

ArticleInternational journal of molecular sciences2024

Development of Non-Invasive miRNA Markers for Assessing the Quality of Human Induced Pluripotent Stem Cell-Derived Retinal Organoids.

Hyo Song Park, Ji-Hong Bang, Wook Hyun Jung, Jin Young Yang, Hee Jeong Shin, Ji-Hye Son, Jung Woo Han, Si Hyung Lee, Kyung Hwun Chung, Kyunggon Kim and 2 more

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. 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

12 authors.

Hyo Song ParkDivisions of Ophthalmology, Soonchunhyang University Bucheon Hospital, College of Medicine, Soonchunhyang University, Bucheon 14584, Republic of Korea.
Ji-Hong BangDepartment of Interdisciplinary Program in Biomedical Science Major, Graduate School, Soonchunhyang University, Asan 31538, Republic of Korea.ORCID 0000-0001-7859-9189
Wook Hyun JungDivisions of Ophthalmology, Soonchunhyang University Bucheon Hospital, College of Medicine, Soonchunhyang University, Bucheon 14584, Republic of Korea.
Jin Young YangLaboratory of Molecular Therapy for Retinal Degeneration, Soonchunhyang University Bucheon Hospital, Bucheon 31538, Republic of Korea.
Hee Jeong ShinDepartment of Interdisciplinary Program in Biomedical Science Major, Graduate School, Soonchunhyang University, Asan 31538, Republic of Korea.ORCID 0000-0002-0944-6637
Ji-Hye SonDepartment of Microbiology, College of Medicine, Soonchunhyang University, Cheonan 33151, Republic of Korea.
Jung Woo HanDivisions of Ophthalmology, Soonchunhyang University Bucheon Hospital, College of Medicine, Soonchunhyang University, Bucheon 14584, Republic of Korea.
Si Hyung LeeDivisions of Ophthalmology, Soonchunhyang University Bucheon Hospital, College of Medicine, Soonchunhyang University, Bucheon 14584, Republic of Korea.
Kyung Hwun ChungLaboratory of Molecular Therapy for Retinal Degeneration, Soonchunhyang University Bucheon Hospital, Bucheon 31538, Republic of Korea.
Kyunggon KimDepartment of Digital Medicine, Brain Korea 21 plus, College of Medicine, University of Ulsan and Asan Medical Center, Seoul 05505, Republic of Korea.ORCID 0000-0002-3072-5331
Hun Soo ChangDepartment of Interdisciplinary Program in Biomedical Science Major, Graduate School, Soonchunhyang University, Asan 31538, Republic of Korea.ORCID 0000-0002-4025-4182
Tae Kwann ParkDivisions of Ophthalmology, Soonchunhyang University Bucheon Hospital, College of Medicine, Soonchunhyang University, Bucheon 14584, Republic of Korea.ORCID 0000-0001-9689-4384

Funding

Ministry of Health &Welfare, Republic of Korea HI21C031702Ministry of Trade, Industry, and Energy, Republic of Korea 20009844National Research Foundation of Korea RS-2023-00252222
6 · The paper itself

Abstract

Human retinal organoids (ROs) have emerged as valuable tools for studying retinal development, modeling human retinal diseases, and screening drugs. However, their application is limited primarily due to time-intensive generation, high costs, and low reproducibility. Quality assessment of RO differentiation is crucial for their application in research. However, traditional methods such as morphological evaluation and immunohistochemical analysis have limitations due to their lack of precision and invasiveness, respectively. This study aims to identify non-invasive biomarkers for RO differentiation quality using exosomal microRNAs (miRNAs), which are known to reflect cell-specific functions and development in the retina. We differentiated ROs from human induced pluripotent stem cells (hiPSCs) and classified them into 'superior' and 'inferior' groups based on morphological and immunohistochemical criteria. Exosomes from the conditioned media were isolated and analyzed for miRNA content. Our findings revealed distinct miRNA profiles between superior and inferior ROs, with superior ROs exhibiting higher miRNA diversity and specifically up- or down-regulated miRNAs. Gene ontology and pathway enrichment analyses indicated that the target genes of these miRNAs are involved in neuron proliferation and differentiation. The study suggests the potential of exosomal hsa-miR-654-3p and hsa-miR-451a as non-invasive biomarkers for real-time monitoring of RO quality, facilitating the development of standardized, efficient, and cost-effective culture methods.

Indexed as

BiomarkersCell DifferentiationExosomesInduced Pluripotent Stem CellsMicroRNAsOrganoidsRetinaCells, CulturedHumansBiomarkersMicroRNAsdifferentiationexosomesmarkersmicroRNAnon-invasiveretinal organoids

Identifiers

PMID39125582
PMCPMC11312389

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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.