scholarly journals Next-generation sequencing reveals differentially expressed small noncoding RNAs in uterine leiomyoma

2018 ◽  
Vol 109 (5) ◽  
pp. 919-929 ◽  
Author(s):  
Tsai-Der Chuang ◽  
Yeming Xie ◽  
Wei Yan ◽  
Omid Khorram
2018 ◽  
Vol 90 (20) ◽  
pp. 11791-11796 ◽  
Author(s):  
Marcello Pirritano ◽  
Tobias Fehlmann ◽  
Thomas Laufer ◽  
Nicole Ludwig ◽  
Gilles Gasparoni ◽  
...  

2018 ◽  
Vol 2018 ◽  
pp. 1-9 ◽  
Author(s):  
Thomas G. Nührenberg ◽  
Marco Cederqvist ◽  
Federico Marini ◽  
Christian Stratz ◽  
Björn A. Grüning ◽  
...  

Background. Diabetes mellitus (DM) has been associated with increased platelet reactivity as well as increased levels of platelet RNAs in plasma. Here, we sought to evaluate whether the platelet transcriptome is altered in the presence of uncontrolled DM. Methods. Next-generation sequencing (NGS) was performed on platelet RNA for 5 patients with uncontrolled DM (HbA1c 9.0%) and 5 control patients (HbA1c 5.5%) with otherwise similar clinical characteristics. RNA was isolated from leucocyte-depleted platelet-rich plasma. Libraries of platelet RNAs were created separately for long RNAs after ribosomal depletion and for small RNAs from total RNA, followed by next-generation sequencing. Results. Platelets in both groups demonstrated RNA expression profiles characterized by absence of leukocyte-specific transcripts, high expression of well-known platelet transcripts, and in total 6,343 consistently detectable transcripts. Extensive statistical bioinformatic analysis yielded 12 genes with consistently differential expression at a lenient FDR < 0.1, thereof 8 protein-coding genes and 2 genes with known expression in platelets (MACF1 and ITGB3BP). Three of the four differentially expressed noncoding genes were YRNAs (RNY1, RNY3, and RNY4) which were all downregulated in DM. 23 miRNAs were differentially expressed between the two groups. Of the 13 miRNAs with decreased expression in the diabetic group, 8 belonged to the DLK1–DIO3 gene region on chromosome 14q32.2. Conclusions. In this study, uncontrolled DM had a remote impact on different components of the platelet transcriptome. Increased expression of MACF1, together with supporting predicted mRNA-miRNA interactions as well as reduced expression of RNYs in platelets, may reflect subclinical platelet activation in uncontrolled DM.


2020 ◽  
Vol 72 (4) ◽  
pp. 241-250
Author(s):  
Domenico Santoro ◽  
Antonio Di Loria ◽  
Teresa Mirante ◽  
Duarte Mendes Oliveira ◽  
Carmelo Laudanna ◽  
...  

Epigenomics ◽  
2016 ◽  
Vol 8 (12) ◽  
pp. 1619-1635 ◽  
Author(s):  
Daneida Lizarraga ◽  
Karen Huen ◽  
Mary Combs ◽  
Maria Escudero-Fung ◽  
Brenda Eskenazi ◽  
...  

2019 ◽  
Vol 9 (1) ◽  
pp. 80-86
Author(s):  
O. A. Beylerli ◽  
A. T Beylerli ◽  
I. F. Garaev

A number of questions arise when choosing methods for experiments related to next-generation sequencing. On the one hand, while working with RNA extraction, added reagents and their residues can often inhibit sensitive chemicals with which the sequential synthesis is carried out for the sequencing. On the other hand, processing the same data using different software for the analysis can also impact on the sequencing results. This paper will present the step by step procedure for the preparation of samples taken from human biological fluids for subsequent sequencing of small RNAs, small noncoding RNAs in particular. Regarding the methods of extraction or isolation of RNAs, we found that low RNA yield can be improved significantly by following the isolation method for total RNA and its fractions included in Ambion’s MirVana PARIS kit, but only if using a special approach and modifying the organic extraction step. Compared to others, the methods supplied with commercially available kits at the time of researching this paper require only one organic extraction. This simple but, as it turned out, very useful modification makes it possible to access previously unavailable material. Potential advantages of this modification include a more complete profiling of small non-coding RNAs and a broader access to small sample volumes, as a rule, access to human biological fluids which can be prepared for RNA sequencing on the Illumina platform.


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