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miRNome landscape analysis reveals a 30 miRNA core in retinoblastoma

Overview of attention for article published in BMC Cancer, July 2017
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Title
miRNome landscape analysis reveals a 30 miRNA core in retinoblastoma
Published in
BMC Cancer, July 2017
DOI 10.1186/s12885-017-3421-3
Pubmed ID
Authors

Blanca Elena Castro-Magdonel, Manuela Orjuela, Javier Camacho, Adda Jeanette García-Chéquer, Lourdes Cabrera-Muñoz, Stanislaw Sadowinski-Pine, Noé Durán-Figueroa, María de Jesús Orozco-Romero, Ana Claudia Velázquez-Wong, Adriana Hernández-Ángeles, Claudia Hernández-Galván, Citlali Lara-Molina, M. Verónica Ponce-Castañeda

Abstract

miRNAs exert their effect through a negative regulatory mechanism silencing expression upon hybridizing to their target mRNA, and have a prominent position in the control of many cellular processes including carcinogenesis. Previous miRNA studies on retinoblastoma (Rb) have been limited to specific miRNAs reported in other tumors or to medium density arrays. Here we report expression analysis of the whole miRNome on 12 retinoblastoma tumor samples using a high throughput microarray platform including 2578 mature miRNAs. Twelve retinoblastoma tumor samples were analyzed using an Affymetrix platform including 2578 mature miRNAs. We applied RMA analysis to normalize raw data, obtained categorical data from detection call values, and also used signal intensity derived expression data. We used Diana-Tools-microT-CDS to find miRNA targets and ChromDraw to map miRNAs in chromosomes. We discovered a core-cluster of 30 miRNAs that were highly expressed in all the cases and a cluster of 993 miRNAs that were uniformly absent in all cases. Another 1022 miRNA were variably present in the samples reflecting heterogeneity between tumors. We explored mRNA targets, pathways and biological processes affected by some of these miRNAs. We propose that the core-cluster of 30 miRs represent miRNA machinery common to all Rb, and affecting most pathways considered hallmarks of cancer. In this core, we identified miR-3613 as a potential and critical down regulatory hub, because it is highly expressed in all the samples and its potential mRNA targets include at least 36 tumor suppressor genes, including RB1. In the variably expressed miRNA, 36 were differentially expressed between males and females. Some of the potential pathways targeted by these 36 miRNAs were associated with hormonal production. These findings indicate that Rb tumor samples share a common miRNA expression profile regardless of tumor heterogeneity, and shed light on potential novel therapeutic targets such as mir-3613 This is the first work to delineate the miRNA landscape in retinoblastoma tumor samples using an unbiased approach.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 35 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 20%
Student > Ph. D. Student 5 14%
Student > Bachelor 4 11%
Student > Master 3 9%
Student > Doctoral Student 2 6%
Other 5 14%
Unknown 9 26%
Readers by discipline Count As %
Medicine and Dentistry 7 20%
Biochemistry, Genetics and Molecular Biology 6 17%
Agricultural and Biological Sciences 6 17%
Pharmacology, Toxicology and Pharmaceutical Science 2 6%
Nursing and Health Professions 1 3%
Other 4 11%
Unknown 9 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 27 March 2018.
All research outputs
#17,902,783
of 22,985,065 outputs
Outputs from BMC Cancer
#5,003
of 8,351 outputs
Outputs of similar age
#225,305
of 314,066 outputs
Outputs of similar age from BMC Cancer
#76
of 131 outputs
Altmetric has tracked 22,985,065 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,351 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 34th percentile – i.e., 34% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 314,066 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 131 others from the same source and published within six weeks on either side of this one. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.