2019
DOI: 10.1080/15476286.2019.1657743
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Deep sequencing of small non-coding RNA highlights brain-specific expression patterns and RNA cleavage

Abstract: With the advance of high-throughput sequencing technology numerous new regulatory small RNAs have been identified, that broaden the variety of processing mechanisms and functions of non-coding RNA. Here we explore small non-coding RNA (sncRNA) expression in central parts of the physiological stress and anxiety response system. Therefore, we characterize the sncRNA profile of tissue samples from Amygdala, Hippocampus, Hypothalamus and Adrenal Gland, obtained from 20 pigs. Our analysis reveals that all tissues b… Show more

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Cited by 6 publications
(19 citation statements)
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“…In the rat hypothalamus, let-7 family, miR-136, miR-125a, miR-138, miR-124a, miR-338, let-7c, miR-7a/b, and miR-212 expression levels were high (Amar et al 2012). Moreover, miR-16, miR-21, and miR-148a were the most abundant in the porcine hypothalamus (Haack et al 2019). Our data are consistent with the results on the enrichment of the miR-7 and let-7 families in mice and rats, both families were expressed in excess of 10 000 and were upregulated during pregnancy.…”
Section: Discussionsupporting
confidence: 91%
“…In the rat hypothalamus, let-7 family, miR-136, miR-125a, miR-138, miR-124a, miR-338, let-7c, miR-7a/b, and miR-212 expression levels were high (Amar et al 2012). Moreover, miR-16, miR-21, and miR-148a were the most abundant in the porcine hypothalamus (Haack et al 2019). Our data are consistent with the results on the enrichment of the miR-7 and let-7 families in mice and rats, both families were expressed in excess of 10 000 and were upregulated during pregnancy.…”
Section: Discussionsupporting
confidence: 91%
“…Tissue samples of porcine adrenal gland, amygdala, hippocampus and hypothalamus using microarray-based mRNA expression profiling as well as sncRNA deep sequencing from our previous studies were used for downstream analyses ( Gley et al, 2019a , b ; Haack et al, 2019 ). Discovered sncRNA structures mainly consisted of miRNA, Rrna, and tRNA, with additional low abundance RNA species including yRNA, piRNA as well as snoRNA.…”
Section: Resultsmentioning
confidence: 99%
“…In our previous study ( Haack et al, 2019 ), raw sncRNA deep sequencing datasets were converted to FASTQ format and submitted to ArrayExpress. It can be accessed at http://www.ebi.ac.uk/arrayexpress (accession number: E-MTAB-7499 ).…”
Section: Methodsmentioning
confidence: 99%
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