scholarly journals LABRADOR—A Computational Workflow for Virus Detection in High-Throughput Sequencing Data

Viruses ◽  
2021 ◽  
Vol 13 (12) ◽  
pp. 2541
Author(s):  
Izabela Fabiańska ◽  
Stefan Borutzki ◽  
Benjamin Richter ◽  
Hon Q. Tran ◽  
Andreas Neubert ◽  
...  

High-throughput sequencing (HTS) allows detection of known and unknown viruses in samples of broad origin. This makes HTS a perfect technology to determine whether or not the biological products, such as vaccines are free from the adventitious agents, which could support or replace extensive testing using various in vitro and in vivo assays. Due to bioinformatics complexities, there is a need for standardized and reliable methods to manage HTS generated data in this field. Thus, we developed LABRADOR—an analysis pipeline for adventitious virus detection. The pipeline consists of several third-party programs and is divided into two major parts: (i) direct reads classification based on the comparison of characteristic profiles between reads and sequences deposited in the database supported with alignment of to the best matching reference sequence and (ii) de novo assembly of contigs and their classification on nucleotide and amino acid levels. To meet the requirements published in guidelines for biologicals’ safety we generated a custom nucleotide database with viral sequences. We tested our pipeline on publicly available HTS datasets and showed that LABRADOR can reliably detect viruses in mixtures of model viruses, vaccines and clinical samples.

2021 ◽  
Author(s):  
Zi-Jian Deng ◽  
Dong-Wen Chen ◽  
Xi-Jie Chen ◽  
Jia-Ming Fang ◽  
Liang Xv ◽  
...  

Abstract Background: Gastric cancer is the fourth most common malignant disease. Both CDK10 and long noncoding RNAs (lncRNAs) have been found to exert biological functions in multiple cancers. However, it is still unclear whether CDK10 represses tumor progression in gastric cancer by reducing potential targeting lncRNAs.Methods: The functions of CDK10 and lncRNA-C5ORF42-5 in proliferation, invasion and migration were assessed by MTS assays, colony formation assays, cell cycle and apoptosis assays, Transwell assays, wound healing assays and animal experiments. We used high-throughput sequencing to confirm the existence of lncRNA-C5ORF42-5 and quantitative real-time PCR was used to evaluate lncRNA expression. Then, with RNA-seq sequencing as well as GO function and KEGG enrichment analysis, we identified the signaling pathways in which lncRNA-C5ORF42-5 was involved in gastric cancer. Finally, western blotting was used to identify the genes regulated by lncRNA-C5ORF42-5.Results: Our results showed that CDK10 is expressed at relatively low levels in gastric cancer cell lines and inhibits the progression of gastric cancer cells both in vitro and in vivo. Next, based on high-throughput sequencing, we identified a novel lncRNA, lncRNA-C5ORF42-5, in the stable CDK10-overexpressing cell line compared with the CDK-knockdown cell line and their controls. Additionally, we confirmed that lncRNA-C5ORF42-5 acts as an oncogene to promote metastasis in gastric cancer in vitro and in vivo. We then ascertained that lncRNA-C5ORF42-5 is a major contributor to the function of CDK10 in gastric cancer metastasis by upregulating lncRNA-C5ORF42-5 to reverse the effects of CDK10 overexpression. Finally, we explored the mechanism by which lncRNA-C5ORF42-5 overexpression affects gastric cancer cells to elucidate whether lncRNA-C5ORF42-5 may increase the activity of the SMAD pathway of BMP signaling and promote the expression of EMT-related proteins, such as E-cadherin. Additionally, overexpression of lncRNA-C5ORF42-5 affected the phosphorylation levels of AKT and ERK.Conclusion: Our findings suggest that CDK10 overexpression represses gastric cancer tumor progression by reducing lncRNA-C5ORF42-5 and hindering activation of the related proteins in metastatic signaling pathways, which provides new insight into developing effective therapeutic strategies in the treatment of metastatic gastric cancer.


Gut ◽  
2015 ◽  
Vol 66 (3) ◽  
pp. 454-463 ◽  
Author(s):  
Daniele Mennonna ◽  
Cristina Maccalli ◽  
Michele C Romano ◽  
Claudio Garavaglia ◽  
Filippo Capocefalo ◽  
...  

ObjectivePatient-specific (unique) tumour antigens, encoded by somatically mutated cancer genes, generate neoepitopes that are implicated in the induction of tumour-controlling T cell responses. Recent advancements in massive DNA sequencing combined with robust T cell epitope predictions have allowed their systematic identification in several malignancies.DesignWe undertook the identification of unique neoepitopes in colorectal cancers (CRCs) by using high-throughput sequencing of cDNAs expressed by standard cancer cell cultures, and by related cancer stem/initiating cells (CSCs) cultures, coupled with a reverse immunology approach not requiring human leukocyte antigen (HLA) allele-specific epitope predictions.ResultsSeveral unique mutated antigens of CRC, shared by standard cancer and related CSC cultures, were identified by this strategy. CD8+and CD4+T cells, either autologous to the patient or derived from HLA-matched healthy donors, were readily expanded in vitro by peptides spanning different cancer mutations and specifically recognised differentiated cancer cells and CSC cultures, expressing the mutations. Neoepitope-specific CD8+T cell frequency was also increased in a patient, compared with healthy donors, supporting the occurrence of clonal expansion in vivo.ConclusionsThese results provide a proof-of-concept approach for the identification of unique neoepitopes that are immunogenic in patients with CRC and can also target T cells against the most aggressive CSC component.


2019 ◽  
Vol 48 (1) ◽  
pp. 1-18 ◽  
Author(s):  
Celia Blanco ◽  
Evan Janzen ◽  
Abe Pressman ◽  
Ranajay Saha ◽  
Irene A. Chen

The function of fitness (or molecular activity) in the space of all possible sequences is known as the fitness landscape. Evolution is a random walk on the fitness landscape, with a bias toward climbing hills. Mapping the topography of real fitness landscapes is fundamental to understanding evolution, but previous efforts were hampered by the difficulty of obtaining large, quantitative data sets. The accessibility of high-throughput sequencing (HTS) has transformed this study, enabling large-scale enumeration of fitness for many mutants and even complete sequence spaces in some cases. We review the progress of high-throughput studies in mapping molecular fitness landscapes, both in vitro and in vivo, as well as opportunities for future research. Such studies are rapidly growing in number. HTS is expected to have a profound effect on the understanding of real molecular fitness landscapes.


2013 ◽  
Vol 81 (9) ◽  
pp. 3068-3076 ◽  
Author(s):  
Carolyn R. Morris ◽  
Christen L. Grassel ◽  
Julia C. Redman ◽  
Jason W. Sahl ◽  
Eileen M. Barry ◽  
...  

ABSTRACTShigellaspecies Gram-negative bacteria which cause a diarrheal disease, known as shigellosis, by invading and destroying the colonic mucosa and inducing a robust inflammatory response. With no vaccine available, shigellosis annually kills over 600,000 children in developing countries. This study demonstrates the utility of combining high-throughput bioinformatic methods within vitroandin vivoassays to provide new insights into pathogenesis. Comparisons ofin vivoandin vitrogene expression identified genes associated with intracellular growth. Additional bioinformatics analyses identified genes that are present inS. flexneriisolates but not in the three otherShigellaspecies. Comparison of these two analyses revealed nine genes that are differentially expressed during invasion and that are specific toS. flexneri. One gene, a DeoR family transcriptional regulator with decreased expression during invasion, was further characterized and is now designatedicgR, forintracellulargrowthregulator. Deletion oficgRcaused no difference in growthin vitrobut resulted in increased intracellular replication in HCT-8 cells. Furtherin vitroandin vivostudies using high-throughput sequencing of RNA transcripts (RNA-seq) of an isogenic ΔicgRmutant identified 34 genes that were upregulated under both growth conditions. This combined informatics and functional approach has allowed the characterization of a gene and pathway previously unknown inShigellapathogenesis and provides a framework for further identification of novel virulence factors and regulatory pathways.


Blood ◽  
2015 ◽  
Vol 126 (23) ◽  
pp. 1383-1383
Author(s):  
Kezhi Huang ◽  
Min Yang ◽  
Zengkai Pan ◽  
Florian H. Heidel ◽  
Michaela Scherr ◽  
...  

Abstract Using high-throughput sequencing, an increased number of gene mutations has been identified in cancer. Among the up to hundreds of acquired mutations in cancer clones, only a few cooperating mutations are believed to be needed for initiation of the malignant disease. Recently, we reported a single amino acid substitution at position 676 (N676K) within the FLT3 kinase domain as the sole cause of resistance to PKC412 in one patient with FLT3-ITD associated acute myeloid leukemia (AML). The FLT3-N676K mutation was more recently identified independently in up to 6% of de novo AML patients with inv(16) by other groups. As FLT3-TKD mutations are strongly associated with inv(16) in AML and particularly FLT3-N676K was found almost exclusively in AML patients with inv(16), this prompted us to investigate the transforming activity of FLT3-N676K and to test whether FLT3-N676K would cooperate with inv(16) to promote AML. First, we analyzed in vivo leukemogenesis mediated by FLT3-N676K. Retroviral expression of FLT3-N676K in myeloid 32D cells induced AML in syngeneic C3H/HeJ mice (n=11/13, latency ~8 weeks), with a transforming activity similar to FLT3-ITD (n=8/8), FLT3-TKD D835Y (n=8/9), and FLT3-ITD-N676K (n=9/9) mutations. Three out of 14 C57BL/6J mice transplanted with FLT3-N676K-transduced primary lineage negative (Lin-) bone marrow cells died of acute leukemia (latency of 68, 77, and 273 days), while none of 16 animals in the control groups including FLT3-ITD and CBFß-SMMHC developed any hematological malignancy. Secondly, co-expression of FLT3-N676K and CBFß-SMMHC did not promote acute leukemia in 3 independent experiments using C3H/HeJ and C57BL/6J mice (n=16). So far only 1 out of 11 C57BL/6J mice co-expressing FLT3-N676K and CBFß-SMMHC developed acute leukemia (AML with latency of 166 days). In comparison with FLT3-ITD, FLT3-N676K tended to result in stronger phosphorylation of FLT3, MAPK and AKT, and diseased animals carrying FLT3-N676K demonstrated much lower frequency of leukemic stem cells in the majority of analyzed cases. Importantly, leukemic cells co-expressing FLT3-N676K and CBFß-SMMHC were still highly sensitive to the FLT3 inhibitor AC220. Taken together, we show that FLT3-N676K mutant is potent to transform murine hematopoietic stem/progenitor cells in vivo independently of the inv(16) chimeric gene CBFB-MYH11. This is the first report of acute leukemia induced by an activating FLT3 mutation in C57BL/6J mice. Moreover, our data suggest that targeting FLT3-N676K mutation may be an attractive treatment option for FLT3-N676K-positive patients without concurrent ITD. Our data emphasize more careful analysis of the cooperating network of mutations identified in AML by high-throughput sequencing. This work was supported by DJCLS (grant: 13/22) and the Deutsche Forschungsgemeinschaft (grant: Li 1608/2-1). KH and ZP were supported by the China Scholarship Council (2011638024 and 201406100008). Disclosures Heidel: Novartis: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding.


2018 ◽  
Vol 66 ◽  
pp. 180-187 ◽  
Author(s):  
Jochen Kruppa ◽  
Wendy K. Jo ◽  
Erhard van der Vries ◽  
Martin Ludlow ◽  
Albert Osterhaus ◽  
...  

2019 ◽  
Vol 109 (3) ◽  
pp. 488-497 ◽  
Author(s):  
Sebastien Massart ◽  
Michela Chiumenti ◽  
Kris De Jonghe ◽  
Rachel Glover ◽  
Annelies Haegeman ◽  
...  

Recent developments in high-throughput sequencing (HTS), also called next-generation sequencing (NGS), technologies and bioinformatics have drastically changed research on viral pathogens and spurred growing interest in the field of virus diagnostics. However, the reliability of HTS-based virus detection protocols must be evaluated before adopting them for diagnostics. Many different bioinformatics algorithms aimed at detecting viruses in HTS data have been reported but little attention has been paid thus far to their sensitivity and reliability for diagnostic purposes. Therefore, we compared the ability of 21 plant virology laboratories, each employing a different bioinformatics pipeline, to detect 12 plant viruses through a double-blind large-scale performance test using 10 datasets of 21- to 24-nucleotide small RNA (sRNA) sequences from three different infected plants. The sensitivity of virus detection ranged between 35 and 100% among participants, with a marked negative effect when sequence depth decreased. The false-positive detection rate was very low and mainly related to the identification of host genome-integrated viral sequences or misinterpretation of the results. Reproducibility was high (91.6%). This work revealed the key influence of bioinformatics strategies for the sensitive detection of viruses in HTS sRNA datasets and, more specifically (i) the difficulty in detecting viral agents when they are novel or their sRNA abundance is low, (ii) the influence of key parameters at both assembly and annotation steps, (iii) the importance of completeness of reference sequence databases, and (iv) the significant level of scientific expertise needed when interpreting pipeline results. Overall, this work underlines key parameters and proposes recommendations for reliable sRNA-based detection of known and unknown viruses.


2013 ◽  
Vol 9 (9) ◽  
pp. e1003582 ◽  
Author(s):  
David Skurnik ◽  
Damien Roux ◽  
Hugues Aschard ◽  
Vincent Cattoir ◽  
Deborah Yoder-Himes ◽  
...  

2020 ◽  
Author(s):  
Hanchen Xu ◽  
Yujing Liu ◽  
Peiqiu Cheng ◽  
Chunyan Wang ◽  
Yang Liu ◽  
...  

Abstract Background: Circular RNAs (circRNAs), an important member of the non-coding RNA family, have been revealed the role in the pathogenic progression of diseases in recent years, particularly in the malignant progression of cancer. With the application of high-throughput sequencing technology, a large number of circRNAs have been found in tumor tissues, and some circRNAs have demonstrated the role as oncogenic genes. In this study, we analyzed the circRNA expression profile in colorectal cancer (CRC) tissues and normal adjacent tissues by high-throughput sequencing, focusing on the circRNA_0000392, a circRNA with significantly increased expression in colorectal cancer tissues, and further investigating its function in the progression of colorectal cancer.Methods: The expression profile of circRNAs in 6 pairs of CRC tissues and normal adjacent tissues was analyzed by RNA-sequencing. We verified the differential circRNAs with expanded samples by qRT-PCR, focused on circRNA_0000392, and evaluated its associations with clinicopathological features. Then we knocked down circRNA_0000392 in CRC cells and evaluated the effect in vitro and in vivo by functional experiments. The dual luciferase assay and RNA pull-down were performed to further explore the downstream potential molecular mechanisms.Results: CircRNA_0000392 was significantly up-regulated in CRC compared with normal adjacent tissues and cell line. The expression level of circRNA_0000392 was positively correlated with the malignant progression of CRC. Functional studies revealed that reducing the expression of circRNA_0000392 could inhibit the proliferation and invasion of CRC both in vitro and in vivo. Mechanistically, circRNA­_0000392 could act as a sponge of miR-193a-5p and regulate the expression of PIK3R3, then affect the activation of the AKT-mTOR pathway in CRC cells.Conclusions: The circRNA_0000392 has the function as an oncogene through miR-193a-5p/PIK3R3-Akt axis in CRC cells, implying that circRNA_0000392 is a potential therapeutic target for the treatment of colorectal cancer and a predictive marker for CRC patients.


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