[PDF] Top 20 Deciphering Poxvirus Gene Expression by RNA Sequencing and Ribosome Profiling
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Deciphering Poxvirus Gene Expression by RNA Sequencing and Ribosome Profiling
... dicted RNA start sites have made the analysis of vaccinia virus gene expression ...Genome-wide ribosome profiling provided an unprecedented assessment of poxvirus gene ... See full document
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High-Resolution Analysis of Coronavirus Gene Expression by RNA Sequencing and Ribosome Profiling
... all RNA viruses, typically in the region of 30 ...some profiling is a technique which exploits the capacity of the translating ribosome to pro- tect around 30 nucleotides of mRNA from ribonuclease ... See full document
44
Gene expression profiling of liver cancer stem cells by RNA-sequencing
... next-generation RNA sequencing (RNA-Seq), taking advantage of its superior sensitivity and capability of detecting splice variants, to sequence the whole transcriptomes of liver CD90 + CSCs and CD90 ... See full document
17
Fluorescent in situ sequencing (FISSEQ) of RNA for gene expression profiling in intact cells and tissues
... situ RNA detection demands fewer samples, but so far this approach is limited by the number of spectrally distinct fluorophores and the optical diffraction limit of microscopy 7–11 ...specific RNA sequences ... See full document
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Deciphering the RNA landscape by RNAome sequencing
... Current RNA expression pro filing methods rely on enrichment steps for specific RNA classes, thereby not detecting all RNA species in an unperturbed ...RNAome sequencing that determines ... See full document
14
Expression Profiling of the Intermediate and Late Stages of Poxvirus Replication
... prototype poxvirus, contains approx- imately 200 open reading frames (ORFs) that are transcribed at early, intermediate, and late stages of ...deep RNA sequencing allowed us to map 118 VACV early ... See full document
10
Expression profiling of white sponge nevus by RNA sequencing revealed pathological pathways
... generation sequencing plat- form to comprehensively characterize the KRT13-related WSN transcriptome for the first ...our RNA-Seq analysis suggested that the abnormal degradation of the KRT13 protein in WSN ... See full document
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Weighted Gene Co-expression Network Analysis for RNA-Sequencing Data of the Varicose Veins Transcriptome
... metabolic profiling of varicose veins, and also reported 4 differentially expressed ...of RNA expression, but few of them have evaluated transcriptomic ...alterations. RNA-Seq is a relatively ... See full document
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Accurate Profiling of Gene Expression and Alternative Polyadenylation with Whole Transcriptome Termini Site Sequencing (WTTS-Seq)
... validate gene expression, the time and expense needed to verify all DEGs revealed by a whole transcriptome analysis would be ...given gene revealed by ...and RNA-seq methods. Al- though ... See full document
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Single-Cell Gene Expression Variation as A Cell-Type Specific Trait: A Study of Mammalian Gene Expression Using Single-Cell RNA Sequencing
... different gene expression programs but recent single cell transcriptome profiling has revealed considerable variation within cells of seemingly identical ...cell RNA sequencing for 107 ... See full document
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Distinct Gene Expression Profiling after Infection of Immature Human Monocyte-Derived Dendritic Cells by the Attenuated Poxvirus Vectors MVA and NYVAC
... viral gene expression between the two vectors might be related to the extent of eIF-2 ␣ phosphorylation and RNA degradation induced during infection as well as the presence or absence of certain ... See full document
15
RNA Sequencing Data: Hitchhiker's Guide to Expression Analysis
... RNA Sequencing Data: Hitchhiker’s Guide to Expression Analysis Van den Berge, Koen ; Hembach, Katharina M ; Soneson, Charlotte ; Tiberi, Simone ; Clement, Lieven ; Love, Michael I ; Patro, Rob ; ... See full document
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<p>Bioinformatics Analysis and RNA-Sequencing of SCAMP3 Expression and Correlated Gene Regulation in Hepatocellular Carcinoma</p>
... mRNA expression, SCAMP3 was over-expressed in numerous tumors, especially in ...or Ribosome. SCAMP3 regulated a number of gene expressions including PPAP2B, SNRK, ARID4A, PRCC, VPS72 via protein ... See full document
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Impact of RNA degradation on gene expression profiling
... high-throughput expression data for the whole genome can be generated within a short period of ...of RNA), as a technical bias might otherwise arise that would override the biological differ- ences of the ... See full document
14
A study of mammalian microRNA-mediated repression of gene expression by ribosome profiling
... These results show that changes in mRNA levels closely reflect the impact of miRNAs on gene expression and indicate that destabilization of target mRNAs is the predominant reas[r] ... See full document
155
Statistical Methods for Gene Differential Expression Analysis of RNA-Sequencing
... measure gene expression, often to ask the question of what genes are differentially expressed across various biological ...model RNA-Seq quantifications in order to determine differential ... See full document
140
Statistical Methods for Gene Differential Expression Analysis of RNA-Sequencing
... depicted in Supplementary Figure 2a,b was used to benchmark different parameters. In (a), three different normalization methods: transcript counts, size factor normalization from DESEq2, and transcript-per-million (TPM) ... See full document
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SCALE: modeling allele specific gene expression by single cell RNA sequencing
... sufficient expression and that are ...a gene are independently ...a gene share the same nuclear environment and thus the same ensemble of transcription ... See full document
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Inhibition of Poxvirus Gene Expression and Genome Replication by Bisbenzimide Derivatives
... ABSTRACT Virus infection of humans and livestock can be devastating for individu- als and populations, sometimes resulting in large economic and societal impact. Pre- vention of virus disease by vaccination or antiviral ... See full document
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Inferring the kinetics of stochastic gene expression from single cell RNA sequencing data
... Discussion The Poisson-beta model provides a convenient statistical framework for modeling single-cell RNA-seq data and for studying the kinetics of stochastic gene expression. Since the kinetic ... See full document
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