Evidence map›Paper›PMID 25983556›Full record

ArticleBioinformatics and biology insights2015

Computational and in vitro Investigation of miRNA-Gene Regulations in Retinoblastoma Pathogenesis: miRNA Mimics Strategy.

Nalini Venkatesan, Perinkulam Ravi Deepa, Vikas Khetan, Subramanian Krishnakumar

Open access · goldAbstract read
In one paragraph

Article in Bioinformatics and biology insights, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
2.0field-weighted citation impact, top 15% 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

25 citing papers in PubMed, 48 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Resolvin D1 Suppresses HAntioxidants (Basel, Switzerland) · 2021
    Article
  5. Review
  6. Article
  7. MiR-1254 andAmerican journal of translational research · 2021
    Article
  8. Article
  9. Article
  10. Article
  11. Biomarkers in retinoblastoma.International journal of ophthalmology · 2020
    Review
  12. MicroRNA-486-3p functions as a tumor suppressor in oral cancer by targeting DDR1.Journal of experimental & clinical cancer research : CR · 2019
    Article
  13. Article
  14. Article
  15. Article
  16. Expression profiles and prognostic value of miRNAs in retinoblastoma.Journal of cancer research and clinical oncology · 2019
    Review
  17. Non-Coding RNAs in Retinoblastoma.Frontiers in genetics · 2019
    Review
  18. Update on pathology of retinoblastoma.International journal of ophthalmology · 2018
    Review
  19. Article
  20. 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

4 authors at 2 institutions in 1 country.

Nalini VenkatesanLarsen & Toubro Department of Ocular Pathology, Vision Research Foundation, Sankara Nethralaya, Chennai, India. ; Department of Biological Sciences, Birla Institute of Technology and Science (BITS), Pilani, Rajasthan, India.
Perinkulam Ravi DeepaDepartment of Biological Sciences, Birla Institute of Technology and Science (BITS), Pilani, Rajasthan, India.
Vikas KhetanDepartment of Vitreoretina and Oncology, Medical Research Foundation, Sankara Nethralaya, Chennai, India.
Subramanian KrishnakumarLarsen & Toubro Department of Ocular Pathology, Vision Research Foundation, Sankara Nethralaya, Chennai, India.
Birla Institute of Technology and Science, Pilani · INSankara Nethralaya · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeRetinoblastoma (RB), a primary pediatric intraocular tumor, arises from primitive retinal layers. Several novel molecular strategies are being developed for the clinical management of RB. miRNAs are known to regulate cancer-relevant biological processes. Here, the role of selected miRNAs, namely, miR-532-5p and miR-486-3p, has been analyzed for potential therapeutic targeting in RB.

methodsA comprehensive bioinformatic analysis was performed to predict the posttranscriptional regulators (miRNAs) of the select panel of genes [Group 1: oncogenes (HMGA2, MYCN, SYK, FASN); Group 2: cancer stem cell markers (TACSTD, ABCG2, CD133, CD44, CD24) and Group 3: cell cycle regulatory proteins (p53, MDM2)] using Microcosm, DIANALAB, miRBase v 18, and REFSEQ database, and RNA hybrid. The expressions of five miRNAs, namely, miR-146b-5p, miR-532-5p, miR-142-5p, miR-328, and miR-486-3p, were analyzed by qRT-PCR on primary RB tumor samples (n = 30; including 17 invasive RB tumors and 13 noninvasive RB tumors). Detailed complementary alignment between 5' seed sequence of differentially expressed miRNAs and the sequence of target genes was determined. Based on minimum energy level and piCTAR scores, the gene targets were selected. Functional roles of these miRNA clusters were studied by using mimics in cultured RB (Y79, Weri Rb-1) cells in vitro. The gene targets (SYK and FASN) of the studied miRNAs were confirmed by qRT-PCR and western blot analysis. Cell proliferation and apoptotic studies were performed.

resultsNearly 1948 miRNAs were identified in the in silico analysis, From this list, only 9 upregulated miRNAs (miR-146b-5p, miR-305, miR-663b, miR-299, miR-532-5p, miR-892b, miR-501, miR-142-5p, and miR-513b) and 10 downregulated miRNAs (miR-1254, miR-328, miR-133a, miR-1287, miR-1299, miR-375, miR-486-3p, miR-720, miR-98, and miR-122*) were found to be common with the RB serum miRNA profile. Downregulation of five miRNAs (miR-146b-5p, miR-532-5p, miR-142-5p, miR-328, and miR-486-3p) was confirmed experimentally. Predicted common oncogene targets (SYK and FASN) of miR-486-3p and miR-532-5p were evaluated for their mRNA and protein expression in these miRNA mimic-treated RB cells. Experimental overexpression of these miRNAs mediated apoptotic cell death without significantly altering the cell cycle in RB cells.

conclusionKey miRNAs in RB pathogenesis were identified by an in silico approach. Downregulation of miR-486-3p and miR-532-5p in primary retinoblastoma tissues implicates their role in tumorigenesis. Prognostic and therapeutic potential of these miRNA was established by the miRNA mimic strategy.

Indexed as

bio-informatics analysismimicsmiRNA-mRNAretinoblastoma

Identifiers

PMID25983556
PMCPMC4429751
OpenAlexW1596158999

What OpenQuestion holds

Textmetadata
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.