Evidence map›Paper›PMID 20158877›Full record

ArticleBMC genomics2010

Analysis of deep sequencing microRNA expression profile from human embryonic stem cells derived mesenchymal stem cells reveals possible role of let-7 microRNA family in downstream targeting of hepatic nuclear factor 4 alpha.

Winston Koh, Chen Tian Sheng, Betty Tan, Qian Yi Lee, Vladimir Kuznetsov, Lim Sai Kiang, Vivek Tanavde

Abstract read
In one paragraph

Article in BMC genomics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 75 papers.

0numbers the graph read from it
0cells of the map it votes in
75citing 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

75 citing papers in PubMed.

  1. Trial
  2. Review
  3. Systemic administration of blood-derived exosomes induced by remote ischemic post-conditioning, by delivering a specific cluster of miRNAs, ameliorates ischemic damage and neurological function.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2024
    Article
  4. Article
  5. Article
  6. Exploring microRNAs in craniofacial regenerative medicine.Biochemical Society transactions · 2023
    Review
  7. Article
  8. Article
  9. Article
  10. Extracellular vesicles derived from inflammatory-educated stem cells reverse brain inflammation-implication of miRNAs.Molecular therapy : the journal of the American Society of Gene Therapy · 2022
    Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Extracellular Vesicles Derived from Adipose Mesenchymal Stem Cells Alleviate PM2.5-Induced Lung Injury and Pulmonary Fibrosis.Medical science monitor : international medical journal of experimental and clinical research · 2020
    Article
  18. Article
  19. Review
  20. Five serum microRNAs for detection and predicting of ovarian cancer.European journal of obstetrics & gynecology and reproductive biology: X · 2019
    Article

15 more citing papers are in PubMed but not listed here.

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

7 authors.

Winston KohBioinformatics Institute (BII), Agency of Science Technology and Research (A*STAR), Matrix, Singapore. winstonk@bii.a-star.edu.sg
Chen Tian Sheng
Betty Tan
Qian Yi Lee
Vladimir Kuznetsov
Lim Sai Kiang
Vivek Tanavde

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRecent literature has revealed that genetic exchange of microRNA between cells can be essential for cell-cell communication, tissue-specificity and developmental processes. In stem cells, as in other cells, this can be accomplished through microvesicles or exosome mediated transfer. However, molecular profiles and functions of microRNAs within the cells and in their exosomes are poorly studied. Next generation sequencing technologies could provide a broad-spectrum of microRNAs and their expression and identify possible microRNA targets. In this work, we performed deep sequencing of microRNAs to understand the profile and expression of the microRNAs in microvesicles and intracellular environment of human embryonic stem cells derived mesenchymal stem cells (hES-MSC). We outline a workflow pertaining to visualizing, statistical analysis and interpreting deep sequencing data of known intracellular and extracellular microRNAs from hES-MSC). We utilized these results of which directed our attention towards establishing hepatic nuclear factor 4 alpha (HNF4A) as a downstream target of let-7 family of microRNAs.

resultsIn our study, significant differences in expression profile of microRNAs were found in the intracellular and extracellular environment of hES-MSC. However, a high level of let-7 family of microRNAs is predominant in both intra- and extra- cellular samples of hES-MSC. Further results derived from visualization of our alignment data and network analysis showed that let-7 family microRNAs could affect the downstream target HNF4A, which is a known endodermal differentiation marker. The elevated presence of let-7 microRNA in both intracellular and extra cellular environment further suggests a possible intercellular signalling mechanism through microvesicles transfer. We suggest that let-7 family microRNAs might play a signalling role via such a mechanism amongst populations of stem cells in maintaining self renewal property by suppressing HNF4A expression. This is in line with recent paradigm where microRNAs regulate self-renewal and differentiation pathways of embryonic stem cells by forming an integral biological network with transcription factors.

conclusionIn summary, our study using a combination of alignment, statistical and network analysis tools to examine deep sequencing data of microRNAs in hES-MSC has led to a result that (i) identifies intracellular and exosome microRNA expression profiles of hES-MSC with a possible mechanism of miRNA mediated intercellular regulation by these cells and (ii) placed HNF4A within the cross roads of regulation by the let-7 family of microRNAs.

Indexed as

Base SequenceCell LineageCells, CulturedEmbryonic Stem CellsGene Expression ProfilingGene Regulatory NetworksHepatocyte Nuclear Factor 4HumansMesenchymal Stem CellsMicroRNAsTranscription, GeneticHepatocyte Nuclear Factor 4HNF4A protein, humanMicroRNAsmirnlet7 microRNA, human

Identifiers

PMID20158877
PMCPMC2822534

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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.