Whole genome sequencing and RNA-seq evaluation allowed to detect Cd adaptation footprint in Chironomus riparius

2022 ◽  
pp. 152843
Author(s):  
Halina Binde Doria ◽  
Pauline Hannappel ◽  
Markus Pfenninger
Keyword(s):  
Whole Genome Sequencing ◽  
Genome Sequencing ◽  
Chironomus Riparius ◽  
Whole Genome ◽  
Rna Seq

scholarly journals Comprehensive analysis of RNA-seq and whole genome sequencing data reveals no evidence for SARS-CoV-2 integrating into host genome

2021 ◽  
Author(s):  
Yu-Sheng Chen ◽  
Shuaiyao Lu ◽  
Bing Zhang ◽  
Tingfu Du ◽  
Wen-Jie Li ◽  
...  
Keyword(s):  
Whole Genome Sequencing ◽  
Genome Sequencing ◽  
Rna Virus ◽  
Comprehensive Analysis ◽  
Host Genome ◽  
Whole Genome Sequencing Data ◽  
Whole Genome ◽  
Rna Seq ◽  
Sequencing Data ◽  
Infected Cells

SARS-CoV-2, as the causation of severe epidemic of COVID-19, is one kind of positive single-stranded RNA virus with high transmissibility. However, whether or not SARS-CoV-2 can integrate into host genome needs thorough investigation. Here, we performed both RNA sequencing (RNA-seq) and whole genome sequencing on SARS-CoV-2 infected human and monkey cells, and investigated the presence of host-virus chimeric events. Through RNA-seq, we did detect the chimeric host-virus reads in the infected cells. But further analysis using mixed libraries of infected cells and uninfected zebrafish embryos demonstrated that these reads are falsely generated during library construction. In support, whole genome sequencing also didn't identify the existence of chimeric reads in their corresponding regions. Therefore, the evidence for SARS-CoV-2's integration into host genome is lacking.

The Efficacy of Whole Genome Sequencing and RNA-Seq in the Diagnosis of Whole Exome Sequencing Negative Patients with Complex Neurological Phenotypes

2021 ◽  
Author(s):  
Bianca Blake ◽  
Lauren I. Brady ◽  
Nicholas A. Rouse ◽  
Peter Nagy ◽  
Mark A. Tarnopolsky
Keyword(s):  
Whole Genome Sequencing ◽  
Exome Sequencing ◽  
Whole Exome Sequencing ◽  
Genome Sequencing ◽  
Diagnostic Yield ◽  
Whole Genome ◽  
Rna Seq ◽  
Complete Coverage ◽  
Whole Exome ◽  
Chromosome Microarray

AbstractWhole-genome sequencing (WGS) is being increasingly utilized for the diagnosis of neurological disease by sequencing both the exome and the remaining 98 to 99% of the genetic code. In addition to more complete coverage, WGS can detect structural variants (SVs) and intronic variants (SNVs) that cannot be identified by whole exome sequencing (WES) or chromosome microarray (CMA). Other multi-omics tools, such as RNA sequencing (RNA-Seq), can be used in conjunction with WGS to functionally validate certain variants by detecting changes in gene expression and splicing. The objective of this retrospective study was to measure the diagnostic yield of duo/trio-based WGS and RNA-Seq in a cohort of 22 patients (20 families) with pediatric onset neurological phenotypes and negative or inconclusive WES results in lieu of reanalysis. WGS with RNA-Seq resulted in a definite diagnosis of an additional 25% of cases. Sixty percent of these solved cases arose from the identification of variants that were missed by WES. Variants that could not be unequivocally proven to be causative of the patients' condition were identified in an additional 5% of cases.

scholarly journals HGG-57. WHOLE-GENOME SEQUENCING, METHYLATION ANALYSIS, AND SINGLE-CELL RNA-SEQ DEFINE UNIQUE CHARACTERISTICS OF PEDIATRIC TREATMENT-INDUCED HIGH-GRADE GLIOMA AND SUGGEST ONCOGENIC MECHANISMS

2020 ◽  
Vol 22 (Supplement_3) ◽  
pp. iii354-iii354
Author(s):  
John Lucas ◽  
John DeSisto ◽  
Ke Xu ◽  
Andrew Donson ◽  
Tong Lin ◽  
...  
Keyword(s):  
Gene Expression ◽  
Whole Genome Sequencing ◽  
Single Cell ◽  
Genome Sequencing ◽  
High Grade Glioma ◽  
Whole Genome ◽  
High Grade ◽  
Rna Seq ◽  
Mutational Signatures ◽  
Pediatric Treatment

Abstract BACKGROUND Pediatric treatment-induced high-grade glioma (TIHGG) is among the most severe late effects observed in childhood cancer survivors and is uniformly fatal. We previously showed that TIHGG are divergent from de novo pediatric high-grade glioma (pHGG) and cluster into two gene expression subgroups, one stemlike and the other inflammatory. Here we systematically compared TIHGG molecular profiles to pHGG and evaluated expression and single cell sequencing profiles in order to identify oncogenic mechanisms and the cellular basis for the observed TIHGG gene expression subgroups. MATERIALS/ METHODS 450/850K methylation and mutational signature analysis was conducted in 36 TIHGG samples. Resultant data were analyzed for the presence of chromothripsis, distinct molecular alterations, and mutational signatures in a subset of 10 samples with whole genome sequencing data. Five TIHGGs underwent single-cell RNA-Seq analysis (scRNAseq). RESULTS 26/36 TIHGG clustered with the pedRTK1 methylation class. TIHGG were characterized by an increased frequency of chromothripsis relative to pHGG (67% vs. 31%, p=0.036). FISH and WGS revealed frequent PDGFRA amplification secondary to enrichment in ecDNA. TIHGG were enriched for COSMIC mutational signatures 5 and 19 (p=0.0003) relative to pHGG. scRNAseq data showed that TIHGG tumors are composed of stem-like, neuronal, and inflammatory cell populations which may contribute to the previously described dominant expression profiles. CONCLUSIONS TIHGG represents a distinct molecular subtype of pHGG. Chromothripsis, leading to enriched expression of genes in extrachromosomal DNA, likely contribute to TIHGG oncogenesis. The dominant cell type (stem-like vs. inflammatory) may define the expression subgroup derived from bulk RNA-seq in heterogeneous tumors.

Patients with PMD who are thoroughly screened by Genomic medicine have a considerable chance of benefiting greatly from whole-genome sequencing

2021 ◽  
Author(s):  
Moataz Dowaidar
Keyword(s):  
Whole Genome Sequencing ◽  
Genome Sequencing ◽  
Direct Sequencing ◽  
Genomic Medicine ◽  
Diagnostic Process ◽  
Whole Genome ◽  
Rna Seq ◽  
Tissue Samples ◽  
Long Read ◽  
Major Transition

It appears that the role of genetics in neurology is undergoing a major transition in the present. The scope of genomic medicine has advanced from the only realm of academic investigation to the well-established and widely accepted instrument for genetic labs. Previously, this test was reserved for the most challenging patients, but today it is being utilized as a first step in looking at rare inherited neurological disorders. Researchers and clinicians working in the field of mitochondrial medicine will need to employ new laboratory techniques and DNA sequencing technology in order to move forward with future diagnosis methods and cut down on research time. Patients with PMD who are thoroughly screened have a considerable chance of benefiting greatly from whole-genome sequencing (WGS) at the beginning of their diagnostic process. Using long-read sequencing, there is the potential to help in the discovery of new genetic causes of PMD, the resolution of phasing issues, and the advancement of RNA and mtDNA investigations by way of direct sequencing. With the use of a great number of tissue samples from patients with PMD, there are significant advantages which can greatly promote the quick implementation of this technique into diagnostic laboratories. As RNA-seq technology is introduced into diagnostic laboratories, it will serve as an accurate means to examine the entire spectrum of disease while providing support for difficult cases. The plentiful supply of tissue samples from patients with PMD further enhances the ability of RNA-seq to rapidly be adopted in these laboratories. Finally, more validation of innovative tRNA approaches will be required in order to determine the pathogenicity of this common group of mtDNA-related PMDs.

scholarly journals A Modified RNA-Seq Approach for Whole Genome Sequencing of RNA Viruses from Faecal and Blood Samples

PLoS ONE ◽  
2013 ◽  
Vol 8 (6) ◽  
pp. e66129 ◽  
Author(s):  
Elizabeth M. Batty ◽  
T. H. Nicholas Wong ◽  
Amy Trebes ◽  
Karène Argoud ◽  
Moustafa Attar ◽  
...  
Keyword(s):  
Whole Genome Sequencing ◽  
Genome Sequencing ◽  
Rna Viruses ◽  
Whole Genome ◽  
Rna Seq ◽  
Blood Samples

scholarly journals Predicting causal variants affecting expression by using whole-genome sequencing and RNA-seq from multiple human tissues

2017 ◽  
Vol 49 (12) ◽  
pp. 1747-1751 ◽  
Author(s):  
Andrew Anand Brown ◽  
Ana Viñuela ◽  
Olivier Delaneau ◽  
Tim D Spector ◽  
Kerrin S Small ◽  
...  
Keyword(s):  
Whole Genome Sequencing ◽  
Genome Sequencing ◽  
Whole Genome ◽  
Human Tissues ◽  
Rna Seq ◽  
Causal Variants

scholarly journals First de-novo transcriptome assembly of a South American frog, Oreobates cruralis, enables population genomic studies of Neotropical amphibians

2017 ◽  
Author(s):  
Santiago Montero-Mendieta ◽  
Manfred Grabherr ◽  
Henrik Lantz ◽  
Ignacio De la Riva ◽  
Jennifer A Leonard ◽  
...  
Keyword(s):  
Whole Genome Sequencing ◽  
Genome Sequencing ◽  
De Novo ◽  
Transcriptome Assembly ◽  
Cost Effective ◽  
Model Organisms ◽  
South American ◽  
Whole Genome ◽  
Rna Seq ◽  
De Novo Transcriptome

Whole genome sequencing is opening the door to novel insights into the population structure and evolutionary history of poorly known species. In organisms with large genomes, which includes most amphibians, whole-genome sequencing is excessively challenging and transcriptome sequencing (RNA-seq) represents a cost-effective tool to explore genome-wide variability. Non-model organisms do not usually have a reference genome to facilitate assembly and the transcriptome sequence must be assembled de-novo. We used RNA-seq to obtain the transcriptome profile for Oreobates cruralis, a poorly known South American direct-developing frog. In total, 550,871 transcripts were assembled, corresponding to 422,999 putative genes. Of those, we identified 23,500, 37,349, 38,120 and 45,885 genes present in the Pfam, EggNOG, KEGG and GO databases, respectively. Interestingly, our results suggested that genes related to immune system and defense mechanisms are abundant in the transcriptome of O. cruralis. We also present a workflow to assist with pre-processing, assembling, evaluating and functionally annotating a de-novo transcriptome from RNA-seq data of non-model organisms. Our workflow guides the inexperienced user in an intuitive way through all the necessary steps to build de-novo transcriptome assemblies using readily available software and is freely available at: https://github.com/biomendi/PRACTICAL-GUIDE-TO-BUILD-DE-NOVO-TRANSCRIPTOME-ASSEMBLIES-FOR-NON-MODEL-ORGANISMS/wiki

scholarly journals First de-novo transcriptome assembly of a South American frog, Oreobates cruralis, enables population genomic studies of Neotropical amphibians

2017 ◽  
Author(s):  
Santiago Montero-Mendieta ◽  
Manfred Grabherr ◽  
Henrik Lantz ◽  
Ignacio De la Riva ◽  
Jennifer A Leonard ◽  
...  
Keyword(s):  
Whole Genome Sequencing ◽  
Genome Sequencing ◽  
De Novo ◽  
Transcriptome Assembly ◽  
Cost Effective ◽  
Model Organisms ◽  
South American ◽  
Whole Genome ◽  
Rna Seq ◽  
De Novo Transcriptome

Whole genome sequencing is opening the door to novel insights into the population structure and evolutionary history of poorly known species. In organisms with large genomes, which includes most amphibians, whole-genome sequencing is excessively challenging and transcriptome sequencing (RNA-seq) represents a cost-effective tool to explore genome-wide variability. Non-model organisms do not usually have a reference genome to facilitate assembly and the transcriptome sequence must be assembled de-novo. We used RNA-seq to obtain the transcriptome profile for Oreobates cruralis, a poorly known South American direct-developing frog. In total, 550,871 transcripts were assembled, corresponding to 422,999 putative genes. Of those, we identified 23,500, 37,349, 38,120 and 45,885 genes present in the Pfam, EggNOG, KEGG and GO databases, respectively. Interestingly, our results suggested that genes related to immune system and defense mechanisms are abundant in the transcriptome of O. cruralis. We also present a workflow to assist with pre-processing, assembling, evaluating and functionally annotating a de-novo transcriptome from RNA-seq data of non-model organisms. Our workflow guides the inexperienced user in an intuitive way through all the necessary steps to build de-novo transcriptome assemblies using readily available software and is freely available at: https://github.com/biomendi/PRACTICAL-GUIDE-TO-BUILD-DE-NOVO-TRANSCRIPTOME-ASSEMBLIES-FOR-NON-MODEL-ORGANISMS/wiki

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