Similar Datasets
Project description:Analysis of allele-specific expression is strongly affected by the technical noise present in RNA-seq experiments. Previously, we showed that technical replicates can be used for precise estimates of this noise, and we provided a tool for correction of technical noise in allele-specific expression analysis. This approach is very accurate but costly due to the need for two or more replicates of each library. Here, we develop a spike-in approach that is highly accurate at only a small fraction of the cost. We show that a distinct RNA added as a spike-in before library preparation reflects technical noise of the whole library and can be used in large batches of samples. We experimentally demonstrate the effectiveness of this approach using combinations of RNA from species distinguishable by alignment, namely, mouse, human, and C.elegans. Our new approach, controlFreq, enables highly accurate and computationally efficient analysis of allele-specific expression in (and between) arbitrarily large studies at an overall cost increase of ∼ 5%.
2023-07-11 | GSE228004 | GEO
Project description:Analysis of allele-specific expression is strongly affected by the technical noise present in RNA-seq experiments. Previously, we showed that technical replicates can be used for precise estimates of this noise, and we provided a tool for correction of technical noise in allele-specific expression analysis. This approach is very accurate but costly due to the need for two or more replicates of each library. Here, we develop a spike-in approach that is highly accurate at only a small fraction of the cost. We show that a distinct RNA added as a spike-in before library preparation reflects technical noise of the whole library and can be used in large batches of samples. We experimentally demonstrate the effectiveness of this approach using combinations of RNA from species distinguishable by alignment, namely, mouse, human, and C.elegans. Our new approach, controlFreq, enables highly accurate and computationally efficient analysis of allele-specific expression in (and between) arbitrarily large studies at an overall cost increase of ∼ 5%.
2023-07-11 | GSE228003 | GEO
Project description:Analysis of allele-specific expression is strongly affected by the technical noise present in RNA-seq experiments. Previously, we showed that technical replicates can be used for precise estimates of this noise, and we provided a tool for correction of technical noise in allele-specific expression analysis. This approach is very accurate but costly due to the need for two or more replicates of each library. Here, we develop a spike-in approach that is highly accurate at only a small fraction of the cost. We show that a distinct RNA added as a spike-in before library preparation reflects technical noise of the whole library and can be used in large batches of samples. We experimentally demonstrate the effectiveness of this approach using combinations of RNA from species distinguishable by alignment, namely, mouse, human, and C.elegans. Our new approach, controlFreq, enables highly accurate and computationally efficient analysis of allele-specific expression in (and between) arbitrarily large studies at an overall cost increase of ∼ 5%.
2023-07-11 | GSE228002 | GEO
Project description:This SuperSeries is composed of the SubSeries listed below.
2020-03-19 | GSE147203 | GEO
Project description:The rapid global spread and continued evolution of SARS-CoV-2 has highlighted an unprecedented need for viral genomic surveillance and clinical viral sequencing. Amplicon-based sequencing methods provide a sensitive, low-cost and rapid approach but suffer a high potential for contamination, which can undermine lab processes and results. This challenge will only increase with expanding global production of sequences by diverse research groups for epidemiological and clinical interpretation. We present an approach which uses synthetic DNA spike-ins (SDSIs) to track samples and detect inter-sample contamination through a sequencing workflow. Applying this approach to the ARTIC Consortium's amplicon design, we define a series of best practices for Illumina-based sequencing and provide a detailed characterization of approaches to increase sensitivity for low-viral load samples incorporating the SDSIs. We demonstrate the utility and efficiency of the SDSI method amidst a real-time investigation of a suspected hospital cluster of SARS-CoV-2 cases.
| S-EPMC7987014 | biostudies-literature
Project description:This SuperSeries is composed of the SubSeries listed below. Refer to individual Series
2013-06-01 | E-GEOD-47129 | biostudies-arrayexpress
Project description:Genetic predisposition to type 1 diabetes (T1D) has been associated with a chromosome 11 locus centered on the proinsulin gene (INS) and with differential steady-state levels of INS RNA from T1D-predisposing and -protective haplotypes. Here, we show that the haplotype-specific expression is determined by INS variants that control the splicing efficiency of intron 1. The adenine allele at IVS1-6 (rs689), which rapidly expanded in modern humans, renders the 3' splice site of this intron more dependent on the auxiliary factor of U2 small nuclear ribonucleoprotein (U2AF). This interaction required both zinc fingers of the 35-kD U2AF subunit (U2AF35) and was associated with repression of a competing 3' splice site in INS exon 2. Systematic mutagenesis of reporter constructs showed that intron 1 removal was facilitated by conserved guanosine-rich enhancers and identified additional splicing regulatory motifs in exon 2. Sequencing of intron 1 in primates revealed that relaxation of its 3' splice site in Hominidae coevolved with the introduction of a short upstream open reading frame, providing a more efficient coupled splicing and translation control. Depletion of SR proteins 9G8 and transformer-2 by RNA interference was associated with exon 2 skipping whereas depletion of SRp20 with increased representation of transcripts containing a cryptic 3' splice site in the last exon. Together, these findings reveal critical interactions underlying the allele-dependent INS expression and INS-mediated risk of T1D and suggest that the increased requirement for U2AF35 in higher primates may hinder thymic presentation of autoantigens encoded by transcripts with weak 3' splice sites.
| S-EPMC2939332 | biostudies-literature
Project description:This SuperSeries is composed of the SubSeries listed below.
2012-03-21 | GSE9596 | GEO
Project description:The global spread and continued evolution of SARS-CoV-2 has driven an unprecedented surge in viral genomic surveillance. Amplicon-based sequencing methods provide a sensitive, low-cost and rapid approach but suffer a high potential for contamination, which can undermine laboratory processes and results. This challenge will increase with the expanding global production of sequences across a variety of laboratories for epidemiological and clinical interpretation, as well as for genomic surveillance of emerging diseases in future outbreaks. We present SDSI + AmpSeq, an approach that uses 96 synthetic DNA spike-ins (SDSIs) to track samples and detect inter-sample contamination throughout the sequencing workflow. We apply SDSIs to the ARTIC Consortium's amplicon design, demonstrate their utility and efficiency in a real-time investigation of a suspected hospital cluster of SARS-CoV-2 cases and validate them across 6,676 diagnostic samples at multiple laboratories. We establish that SDSI + AmpSeq provides increased confidence in genomic data by detecting and correcting for relatively common, yet previously unobserved modes of error, including spillover and sample swaps, without impacting genome recovery.
| S-EPMC8923058 | biostudies-literature
Project description:This SuperSeries is composed of the SubSeries listed below.
2018-04-26 | GSE111859 | GEO