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ICAM-1-related long non-coding RNA: promoter analysis and expression in human retinal endothelial cells

Overview of attention for article published in BMC Research Notes, May 2018
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Title
ICAM-1-related long non-coding RNA: promoter analysis and expression in human retinal endothelial cells
Published in
BMC Research Notes, May 2018
DOI 10.1186/s13104-018-3384-8
Pubmed ID
Authors

Amanda L. Lumsden, Yuefang Ma, Liam M. Ashander, Andrew J. Stempel, Damien J. Keating, Justine R. Smith, Binoy Appukuttan

Abstract

Regulation of intercellular adhesion molecule (ICAM)-1 in retinal endothelial cells is a promising druggable target for retinal vascular diseases. The ICAM-1-related (ICR) long non-coding RNA stabilizes ICAM-1 transcript, increasing protein expression. However, studies of ICR involvement in disease have been limited as the promoter is uncharacterized. To address this issue, we undertook a comprehensive in silico analysis of the human ICR gene promoter region. We used genomic evolutionary rate profiling to identify a 115 base pair (bp) sequence within 500 bp upstream of the transcription start site of the annotated human ICR gene that was conserved across 25 eutherian genomes. A second constrained sequence upstream of the orthologous mouse gene (68 bp; conserved across 27 Eutherian genomes including human) was also discovered. Searching these elements identified 33 matrices predictive of binding sites for transcription factors known to be responsive to a broad range of pathological stimuli, including hypoxia, and metabolic and inflammatory proteins. Five phenotype-associated single nucleotide polymorphisms (SNPs) in the immediate vicinity of these elements included four SNPs (i.e. rs2569693, rs281439, rs281440 and rs11575074) predicted to impact binding motifs of transcription factors, and thus the expression of ICR and ICAM-1 genes, with potential to influence disease susceptibility. We verified that human retinal endothelial cells expressed ICR, and observed induction of expression by tumor necrosis factor-α.

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Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 25%
Unspecified 1 13%
Professor > Associate Professor 1 13%
Lecturer 1 13%
Student > Ph. D. Student 1 13%
Other 0 0%
Unknown 2 25%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 25%
Medicine and Dentistry 2 25%
Immunology and Microbiology 1 13%
Unspecified 1 13%
Unknown 2 25%
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 May 2023.
All research outputs
#21,246,172
of 23,861,318 outputs
Outputs from BMC Research Notes
#3,611
of 4,295 outputs
Outputs of similar age
#291,344
of 329,628 outputs
Outputs of similar age from BMC Research Notes
#86
of 105 outputs
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