scholarly journals IsoformSwitchAnalyzeR: Analysis of changes in genome-wide patterns of alternative splicing and its functional consequences

2018 ◽  
Author(s):  
Kristoffer Vitting-Seerup ◽  
Albin Sandelin

AbstractAlternative splicing is an important mechanism involved in both health and disease. Recent work highlights the importance of investigating genome-wide changes in patters of splicing and the subsequent functional consequences. Unfortunately current computational methods only support such analysis on a gene-by-gene basis. To fill this gap, we extended IsoformSwitchAnalyzeR thereby enabling analysis of genome-wide changes in both specific types of alternative splicing as well as the predicted functional consequences of the resulting isoform switches. As a case study, we analyzed RNA-seq data from The Cancer Genome Atlas and found systematic changes in both alternative splicing and the consequences of the associated isoform switches.AvailabilityWindows, Linux and Mac OS: http://bioconductor.org/packages/IsoformSwitchAnalyzeR.ContactKVS: [email protected], AS: [email protected]

2019 ◽  
Vol 35 (21) ◽  
pp. 4469-4471 ◽  
Author(s):  
Kristoffer Vitting-Seerup ◽  
Albin Sandelin

Abstract Summary Alternative splicing is an important mechanism involved in health and disease. Recent work highlights the importance of investigating genome-wide changes in splicing patterns and the subsequent functional consequences. Current computational methods only support such analysis on a gene-by-gene basis. Therefore, we extended IsoformSwitchAnalyzeR R library to enable analysis of genome-wide changes in specific types of alternative splicing and predicted functional consequences of the resulting isoform switches. As a case study, we analyzed RNA-seq data from The Cancer Genome Atlas and found systematic changes in alternative splicing and the consequences of the associated isoform switches. Availability and implementation Windows, Linux and Mac OS: http://bioconductor.org/packages/IsoformSwitchAnalyzeR. Supplementary information Supplementary data are available at Bioinformatics online.


2018 ◽  
Vol 19 (10) ◽  
pp. 3250 ◽  
Author(s):  
Anna Sorrentino ◽  
Antonio Federico ◽  
Monica Rienzo ◽  
Patrizia Gazzerro ◽  
Maurizio Bifulco ◽  
...  

The PR/SET domain gene family (PRDM) encodes 19 different transcription factors that share a subtype of the SET domain [Su(var)3-9, enhancer-of-zeste and trithorax] known as the PRDF1-RIZ (PR) homology domain. This domain, with its potential methyltransferase activity, is followed by a variable number of zinc-finger motifs, which likely mediate protein–protein, protein–RNA, or protein–DNA interactions. Intriguingly, almost all PRDM family members express different isoforms, which likely play opposite roles in oncogenesis. Remarkably, several studies have described alterations in most of the family members in malignancies. Here, to obtain a pan-cancer overview of the genomic and transcriptomic alterations of PRDM genes, we reanalyzed the Exome- and RNA-Seq public datasets available at The Cancer Genome Atlas portal. Overall, PRDM2, PRDM3/MECOM, PRDM9, PRDM16 and ZFPM2/FOG2 were the most mutated genes with pan-cancer frequencies of protein-affecting mutations higher than 1%. Moreover, we observed heterogeneity in the mutation frequencies of these genes across tumors, with cancer types also reaching a value of about 20% of mutated samples for a specific PRDM gene. Of note, ZFPM1/FOG1 mutations occurred in 50% of adrenocortical carcinoma patients and were localized in a hotspot region. These findings, together with OncodriveCLUST results, suggest it could be putatively considered a cancer driver gene in this malignancy. Finally, transcriptome analysis from RNA-Seq data of paired samples revealed that transcription of PRDMs was significantly altered in several tumors. Specifically, PRDM12 and PRDM13 were largely overexpressed in many cancers whereas PRDM16 and ZFPM2/FOG2 were often downregulated. Some of these findings were also confirmed by real-time-PCR on primary tumors.


2019 ◽  
Author(s):  
Ευστάθιος-Ιάσων Βλαχάβας

Ο όρος καρκίνος χρησιμοποιείται όχι για μια ασθένεια, αλλά για ένα ευρύτερο σύνολο συσχετιζόμενων νοσημάτων, οι οποίες περιγράφονται από ένα κοινό χαρακτηριστικό: την αφύσικη ανάπτυξη κυττάρων που διαιρούνται ανεξέλεγκτα και μπορούν να διηθήσουν παρακείμενους ιστούς. Η μελέτη των μοριακών μηχανισμών που εμπλέκονται στη παθοφυσιολογία των καρκίνου, αποτελεί πεδίο έντονης έρευνας, γιατί η κατανόησή τους συνδέεται άμεσα με την ορθή αντιμετώπιση της νόσου. Στην παρούσα διατριβή, εστιάζουμε στον καρκίνο του παχέος εντέρου. Η πλειοψηφία των όγκων του παχέος εντέρου είναι αδενοκαρκινώματα, τα οποία προκύπτουν από τη δημιουργία πολυπόδων που σχηματίζονται στο εσωτερικό τοίχωμα του παχέος εντέρου και μπορούν να εξελιχθούν σε νεοπλασίες. Ο καρκίνος του παχέος εντέρου είναι μια ιδιαίτερα σύνθετη ασθένεια, με έντονα μεταβλητά μοριακά και γενετικά χαρακτηριστικά και με διαφορική απόκριση σε φαρμακευτικά σχήματα. Περίπου το 40% των περιπτώσεων ανιχνεύονται σε πρώιμο στάδιο με το ποσοστό της πενταετούς επιβίωσης να κυμαίνεται στο 90%. Επιπρόσθετα, αποτελεί μια αιτία θνησιμότητας στις χώρες του ανεπτυγμένου κόσμου, κυρίως λόγω του υψηλού μεταστατικού δυναμικού που παρουσιάζει. Συνολικά, τα παραπάνω στοιχεία καθιστούν επιτακτική την αξιοποίηση όλων των διαθέσιμων μοριακών πληροφοριών αλλά και ιατροβιολογικών δεδομένων για την εφαρμογή εξατομικευμένης θεραπείας στα πλαίσια της μεταφραστικής έρευνας.Την τελευταία δεκαετία, η εκτεταμένη αξιοποίηση των τεχνικών υψηλής απόδοσης, όπως οι μικροσυστοιχίες γονιδίων και οι τεχνολογίες αλληλούχισης νέας γενιάς για την ανάλυση της γονιδιακής έκφρασης σε διάφορους τύπους καρκίνου του παχέος εντέρου, συνέβαλε σημαντικά στην ταυτοποίηση σημαντικών γονιδιακών μεταλλαγών και στον χαρακτηρισμό γονιδίων που εμπλέκονται στην παθοφυσιολογία του συγκεκριμένου καρκίνου. Αν και οι τεχνολογίες αλληλούχισης νέας γενιάς παρουσιάζουν σημαντικές τεχνολογικές βελτιώσεις, οι μικροσυστοιχίες DNA εξακολουθούν να παραμένουν δημοφιλείς για την ανάλυση του μεταγραφώματος, αφενός γιατί παραμένουν πιο οικονομικές και αφετέρου προϋποθέτουν μια λιγότερο σύνθετη προετοιμασία δειγμάτων, συγκριτικά με τις μεθοδολογίες αλληλούχισης. Αντιπροσωπευτικά παραδείγματα για τη συμβολή των τεχνολογιών υψηλής απόδοσης αποτελούν ερευνητικές δημοσιεύσεις από τη διεθνή ερευνητική συνεργασία (The Cancer Genome Atlas) για τον μοριακό χαρακτηρισμού του καρκίνου του παχέος εντέρου, καθώς και τον χαρακτηρισμό συγκεκριμένων μοριακών υποτύπων με βάση γονιδιωματικά δεδομένα από διαφορετικές ερευνητικές ομάδες. Ωστόσο, η ιδιαίτερη ετερογένεια που παρουσιάζει ο συγκεκριμένος καρκίνος αλλά και η δυσκολία της ερμηνείας μοριακών δεδομένων υψηλής διαστασιμότητας που προκύπτουν από την ανάλυση μικροσυστοιχιών αλλά και DNA/RNA-Seq τεχνολογιών, δυσχεραίνουν την αξιοποίηση των διαφόρων γονιδιακών υπογραφών που περιγράφουν ένα συγκεκριμένο καρκινικό φαινότυπο, στην κλινική εφαρμογή.


FEBS Open Bio ◽  
2020 ◽  
Vol 10 (3) ◽  
pp. 455-467 ◽  
Author(s):  
Daichi Sadato ◽  
Mina Ogawa ◽  
Chizuko Hirama ◽  
Tsunekazu Hishima ◽  
Shin‐Ichiro Horiguchi ◽  
...  

Genes ◽  
2020 ◽  
Vol 11 (2) ◽  
pp. 227 ◽  
Author(s):  
Qi Wan ◽  
Xuan Sang ◽  
Lin Jin ◽  
Zhichong Wang

Growing evidence has revealed that abnormal alternative splicing (AS) events are closely related to carcinogenic processes. However, the comprehensive study on the prognostic value of splicing events involved in uveal melanoma (UM) is still lacking. Therefore, splicing data of 80 UM patients were obtained from the Cancer Genome Atlas (TCGA) SpliceSeq and RNA sequence data of UM and patient clinical features were downloaded from the Cancer Genome Atlas (TCGA) database to identify survival related splicing events in UM. As a result, a total of 37996 AS events of 17911 genes in UM were detected, among which 5299 AS events of 3529 genes were significantly associated with UM patients’ survival. Functional enrichment analysis revealed that this survival related splicing genes are corelated with mRNA catabolic process and ribosome pathway. Based on survival related splicing events, seven types of prognostic markers and the final overall prognostic signature could independently predict the overall survival of UM patients. Finally, an 11 spliced gene was identified in the final signature. On the basis of these 11 genes, we constructed a Support Vector Machine (SVM) classifier and evaluated it with leave-one-out cross-validation. The results showed that the 11 genes could determine short- and long-term survival with a predicted accuracy of 97.5%. Besides, the splicing factors and alternative splicing events correlation network was constructed to serve as therapeutic targets for UM treatment. Thus, our study depicts a comprehensive landscape of alternative splicing events in the prognosis of UM. The correlation network and associated pathways would provide additional potential targets for therapy and prognosis.


2015 ◽  
Vol 89 (17) ◽  
pp. 8967-8973 ◽  
Author(s):  
Majid Kazemian ◽  
Min Ren ◽  
Jian-Xin Lin ◽  
Wei Liao ◽  
Rosanne Spolski ◽  
...  

ABSTRACTViruses are causally associated with a number of human malignancies. In this study, we sought to identify new virus-cancer associations by searching RNA sequencing data sets from >2,000 patients, encompassing 21 cancers from The Cancer Genome Atlas (TCGA), for the presence of viral sequences. In agreement with previous studies, we found human papillomavirus 16 (HPV16) and HPV18 in oropharyngeal cancer and hepatitis B and C viruses in liver cancer. Unexpectedly, however, we found HPV38, a cutaneous form of HPV associated with skin cancer, in 32 of 168 samples from endometrial cancer. In 12 of the HPV38-positive (HPV38+) samples, we observed at least one paired read that mapped to both human and HPV38 genomes, indicative of viral integration into the host DNA, something not previously demonstrated for HPV38. The expression levels of HPV38 transcripts were relatively low, and all 32 HPV38+samples belonged to the same experimental batch of 40 samples, whereas none of the other 128 endometrial carcinoma samples were HPV38+, raising doubts about the significance of the HPV38 association. Moreover, the HPV38+samples contained the same 10 novel single nucleotide variations (SNVs), leading us to hypothesize that one patient was infected with this new isolate of HPV38, which was integrated into his/her genome and may have cross-contaminated other TCGA samples within batch 228. Based on our analysis, we propose guidelines to examine the batch effect, virus expression level, and SNVs as part of next-generation sequencing (NGS) data analysis for evaluating the significance of viral/pathogen sequences in clinical samples.IMPORTANCEHigh-throughput RNA sequencing (RNA-Seq), followed by computational analysis, has vastly accelerated the identification of viral and other pathogenic sequences in clinical samples, but cross-contamination during the processing of the samples remain a major problem that can lead to erroneous conclusions. We found HPV38 sequences specifically present in RNA-Seq samples from endometrial cancer patients from TCGA, a virus not previously associated with this type of cancer. However, multiple lines of evidence suggest possible cross-contamination in these samples, which were processed together in the same batch. Despite this potential cross-contamination, our data indicate that we have detected a new isolate of HPV38 that appears to be integrated into the human genome. We also provide general guidelines for computational detection and interpretation of pathogen-disease associations.


Oncotarget ◽  
2017 ◽  
Vol 8 (22) ◽  
pp. 35681-35699 ◽  
Author(s):  
Jiang-Hui Zeng ◽  
Dan-Dan Xiong ◽  
Yu-Yan Pang ◽  
Yu Zhang ◽  
Rui-Xue Tang ◽  
...  

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