scholarly journals PSoL: a positive sample only learning algorithm for finding non-coding RNA genes

2006 ◽  
Vol 22 (21) ◽  
pp. 2590-2596 ◽  
Author(s):  
C. Wang ◽  
C. Ding ◽  
R. F. Meraz ◽  
S. R. Holbrook
2021 ◽  
Vol 11 (8) ◽  
pp. 1306-1312
Author(s):  
Li Song ◽  
Ningchao Du ◽  
Haitao Luo ◽  
Furong Li

This study aimed to identify the association of protein coding and long non coding RNA genes with immunotherapy response in melanoma. Based on RNA sequencing data of melanoma specimens, the expression levels of protein coding and long non coding RNA genes were calculated using the Kallisto RNA-seq quantification method, and differently expressed genes were detected using the DESeq2 method. Cox proportional hazards regression was used to evaluate the effects of gene expression on survival. According to the clinical data of 14 patients with drug response and 11 patients without drug response, 18 protein coding genes and 14 long non coding RNAs showed differential expressions (multiple of difference > 2 and P < 0.01 after correction), among which the coding genes of differential expression were significantly enriched through the process of cell adhesion (P < 0.01). The results of survival analysis showed that 18 coding genes and 14 long non coding RNA genes had significant effects on patient survival (P < 0.01). In this study, magnetic nanoparticles can be used to extract genomic DNA and total RNA due to their paramagnetism and biocompatibility, then transcriptome high-throughput sequencing was performed. The method has the advantages of removing dangerous reagents such as phenol and chloroform, replacing inorganic coating such as silica with organic oil, and shortening reaction time. Protein coding and long non coding RNA genes as well as magnetic nanoparticles may serve as potential cancer immune biomarker targets for developing future oncological treatments.


2016 ◽  
Vol 18 (suppl_6) ◽  
pp. vi84-vi85
Author(s):  
Siyuan Liu ◽  
Max Horlbeck ◽  
Seung Woo Cho ◽  
Harjus Birk ◽  
Martina Malatesta ◽  
...  

2021 ◽  
Author(s):  
Abhibhav Sharma ◽  
Pinki Dey

AbstractAlzheimer’s disease (AD) is a progressive neurodegenerative disorder whose aetiology is currently unknown. Although numerous studies have attempted to identify the genetic risk factor(s) of AD, the interpretability and/or the prediction accuracies achieved by these studies remained unsatisfactory, reducing their clinical significance. Here, we employ the ensemble of random-forest and regularized regression model (LASSO) to the AD-associated microarray datasets from four brain regions - Prefrontal cortex, Middle temporal gyrus, Hippocampus, and Entorhinal cortex- to discover novel genetic biomarkers through a machine learning-based feature-selection classification scheme. The proposed scheme unrevealed the most optimum and biologically significant classifiers within each brain region, which achieved by far the highest prediction accuracy of AD in 5-fold cross-validation (99% average). Interestingly, along with the novel and prominent biomarkers including CORO1C, SLC25A46, RAE1, ANKIB1, CRLF3, PDYN, numerous non-coding RNA genes were also observed as discriminator, of which AK057435 and BC037880 are uncharacterized long non-coding RNA genes.


EMBO Reports ◽  
2010 ◽  
Vol 11 (7) ◽  
pp. 541-547 ◽  
Author(s):  
Arnaud R Krebs ◽  
Jeroen Demmers ◽  
Krishanpal Karmodiya ◽  
Nan‐Chi Chang ◽  
Alice Chien Chang ◽  
...  

2019 ◽  
Vol 10 ◽  
Author(s):  
Heeyoun Bunch ◽  
Hyeseung Choe ◽  
Jongbum Kim ◽  
Doo Sin Jo ◽  
Soyeon Jeon ◽  
...  

2016 ◽  
pp. gkw883 ◽  
Author(s):  
Ashish Goyal ◽  
Ksenia Myacheva ◽  
Matthias Groß ◽  
Marcel Klingenberg ◽  
Berta Duran Arqué ◽  
...  

Blood ◽  
2008 ◽  
Vol 112 (11) ◽  
pp. 783-783
Author(s):  
Daniel Mertens ◽  
Angela Philippen ◽  
Nupur Bhattacharya ◽  
Cordula Tschuch ◽  
Melanie Ruppel ◽  
...  

Abstract Deletions in chromosomal band 13q14.3 occur in a variety of human neoplasms like chronic lymphocytic leukaemia (CLL), indicating a tumor suppressor mechanism (TSM) in this region. Intriguingly, several characteristics of the region of interest point to an epigenetic pathomechanism: candidate protein-coding genes and non-coding RNA genes including miR15a and miR16-1 lack point mutations in the majority of patients, yet these genes are significantly downregulated in almost all CLL patients the presence of large non-coding RNA genes in 13q14.3 is reminiscent of imprinted regions where only one gene copy is active. We have recently shown that already in healthy tissue only one gene copy of 13q14.3 is active while one gene copy is randomly chosen for silencing. Thus, loss of the single active copy is sufficient for complete loss of gene function in tumor cells. In order to elucidate the epigenetic regulatory mechanism, we analysed DNA- and Histone-methylation of all CpG islands in the region in non-malignant B-cells and CLL cells. Using aPRIMES and ChIP-qPCR as screening tools, BioCOBRA as a quantitative high-throughput method and bisulfite sequencing for validation, we could identify two candidate regulatory elements with abnormal chromatin in CLL patients (n=80, median 57% DNA-methylation, range 0–100%) as compared to healthy probands (n=20, median 88% DNA-methylation, range 74–100%, p<0.003). Interestingly, this epimutation can be found in all cytogenetic subgroups of CLL patients and is independent of IgV(H) mutation status, making it a prime candidate for an underlying epigenetic defect in CLL. Pilot studies suggest that this epimutation regulates gene expression of the critical region via large non-coding RNA genes. In order to find out how loss of function of the 13q14 genes could result in the pathophenotype of CLL cells, we overexpressed and knocked-down RFP2, C13ORF1, KPNA3 and the largen non-coding RNA gene Dleu2 in two different cell lines and used custom oligonucleotide microarrays and timecourse experiments (n=68 array hybridizations) to identify genes that were subsequently deregulated and thus potential target genes. Less than 1% of genes represented on the arrays were significantly deregulated (median 211/25100 genes, range 44–370), showing the high specificity of the procedure. Using ingenuity pathway analyses, we found that modulation of the expression of 13q14.3 candidate genes deregulates most significantly NFkB target genes and components of the NFkB pathway itself. For a detailed validation analysis we focused on RFP2 and could show that it robustly and quickly induces NFkB activity in fibroblasts (HeLa), kidney cells (HEK-293) and CLL cell lines (Granta-591). However, analyses by oligonucleotide ELISA, Western Blot and EMSA-Band-Shift assays suggest that activation of NFkB occurs not via modulation of components of the canonical or non-canonical NFkB signalling pathways. Therefore, we propose a model for the TSM in 13q14.3 where in healthy B-cells, only one gene copy is active while the second is epigenetically silenced expression of candidate genes is deregulated in CLL cells by epimutation that is present in all cytogenetic subgroups and that this loss of function of 13q14 candidate genes results in deregulation of the NFkB signalling pathway which will change the activation level of CLL cells and their sensitivity to induction of apoptosis.


Tumor Biology ◽  
2016 ◽  
Vol 37 (7) ◽  
pp. 9875-9886 ◽  
Author(s):  
Bo Liu ◽  
Er-Dong Shen ◽  
Ming-Mei Liao ◽  
Yong-Bin Hu ◽  
Kai Wu ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document