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Obstacles in quantifying A-to-I RNA editing by Sanger sequencing.

Adenosine-to-Inosine (A-to-I) RNA editing is the most prevalent type of RNA editing, in which adenosine within a completely or largely double-stranded RNA (dsRNA) is converted to inosine by deamination. RNA editing was shown to be involved in many neurological diseases and cancer; therefore, detection of A-to-I RNA editing and quantitation of editing levels are necessary for both basic and clinical biomedical research. While high-throughput sequencing (HTS) is widely used for global detection of editing events, Sanger sequencing is the method of choice for precise characterization of editing site clusters (hyper-editing) and for comparing levels of editing at a particular site under different environmental conditions, developmental stages, genetic backgrounds, or disease states. To detect A-to-I editing events and quantify them using Sanger sequencing, RNA samples are reverse transcribed, cDNA is amplified using gene-specific primers, and then sequenced. The chromatogram outputs are then compared to the genomic DNA sequence. As editing occurs in the context of dsRNA, the reverse transcription step is performed at a temperature as high as 65 °C, using thermostable reverse transcriptase to open double-stranded structures. However, this measure alone is insufficient for transcripts possessing long stems comprised of hundreds of nucleotide pairs. Consequently, the editing levels detected by Sanger sequencing are significantly lower than those obtained by HTS, and the amplification yield is low. We suggest that the reverse transcription is biased towards unedited transcripts, and the severity of the bias is dependent on the transcript's secondary structure. Here, we show how this bias can be significantly reduced to allow reliable detection of editing levels and sufficient product yield.

RNA Editing

Evaluation of bone preparation approaches using length-based analysis and targeted sequencing for forensic human identification of historic skeletal remains.

Advances in DNA technology have significantly enhanced the forensic community's ability to develop genetic profiles from unidentified human skeletal remains. However, sampling requires mechanical grinding of hard tissues before DNA isolation. This processing can compromise genetic profiles, particularly in aged bones. We compared the industry-standard pulverization method with an alternative powder-free preparation involving prolonged demineralization and subsequent slicing of 19th-century cortical bone. Data from DNA quantification, STR genotyping, and targeted SNP sequencing were used to evaluate powdered samples versus demineralized slices from paired human bones. Average human DNA yields for pulverized samples and demineralized slices were 0.032&#x2009;ng and 0.692&#x2009;ng, respectively. Demineralized slices recovered more amplifiable DNA than traditional homogenization methods (p&#x2009;<&#x2009;0.05). No pulverized samples produced STR profiles, whereas demineralized slices from the same bone samples yielded partial profiles. Samples underwent DNA repair, library preparation, and hybridization capture using the FORensic Capture Enrichment (FORCE) panel. Applying low-coverage (1X) analysis of high-throughput sequencing (HTS) data, demineralized slices outperformed those prepared by traditional pulverization methods (p&#x2009;<&#x2009;0.05) and substantially increased the information recovered compared with conventional STR analysis methods. Based on HTS data from pulverized samples, DNA fragment length ranged from 27 to 95&#x2009;bp, and FORCE SNP recovery was 33.23%. In contrast, for demineralized slices, DNA fragment length ranged from 85 to 114&#x2009;bp, and FORCE SNP recovery was 83.24%. The required reagents and equipment are typically available in forensic labs, and the workflow outlined herein significantly increases the success of DNA recovery from challenging skeletal samples.

Humans

Characterization of yam virus X isolates from Dioscorea trifida in Brazil.

OBJECTIVE: Yam virus X (YVX; Potexvirus ecsdioscoreae) is a positive-sense, flexuous RNA virus belonging to the family Alphaflexiviridae. It has been first reported from Guadeloupe, a French archipelago located in the Caribbean Sea. In this study, we investigated the virome in yam (Dioscorea spp.) plant material collected in the state of Bahia (Brazil) by high-throughput sequencing (HTS) on Illumina platform. The objective of the investigation was to explore the occurrence of YVX in yam from South America, and to study its genetic diversity compared to the only one YVX genome sequence available in the GenBank public database. RESULTS: An initial investigation by HTS of bulked RNA extracts (n=23, combined into 4 pools) revealed occurrence of YVX only in samples collected in the region of Valen&#xe7;a. Subsequent screening by RT-PCR of the individual samples composing the pool uncovered infection with YVX only in Discorea trifida. Total RNA extracts from three infected plants were individually sequenced, resulting in the assembly of three complete genome sequences of YVX, showing ~84% nucleotide identity to the reference sequence from Guadeloupe. Our results contribute to expanding the pool of sequences available for YVX, supporting detection purposes and stimulating additional investigations for future studies on YVX diversity and evolution.

Brazil

Molecular characterisation of a novel citrus-infecting emaravirus, citrus emaravirus 1.

The application of high-throughput sequencing (HTS) has accelerated the discovery of novel viruses and the genome sequencing of poorly characterised viruses in fruit crops, revealing a greater complexity of plant viromes than previously understood. Here, we report the identification and genomic characterisation of a novel emaravirus, tentatively named "citrus emaravirus 1" (CiEV1), from Citrus limon leaves collected in the North West Province of South Africa. HTS analysis identified contigs corresponding to the four conserved emaravirus genomic segments (RNA1-RNA4), each encoding characteristic proteins: RNA-dependent RNA polymerase, glycoprotein, nucleocapsid, and movement protein. Comparison of terminal sequences and phylogenetic analysis suggest placing CiEV1 within clade D of the genus Emaravirus (family Fimoviridae). To date, no association with symptoms has been identified. This is the first report of an emaravirus detected in citrus, expanding the known host range of the genus and contributing to the growing evidence of viral diversity in citrus. Further investigation is required to determine the epidemiological significance of CiEV1 in citrus orchards.

Citrus

SetBERT: the deep learning platform for contextualized embeddings and explainable predictions from high-throughput sequencing.

MOTIVATION: High-throughput sequencing (HTS) is a modern sequencing technology used to profile microbiomes by sequencing thousands of short genomic fragments from the microorganisms within a given sample. This technology presents a unique opportunity for artificial intelligence to comprehend the underlying functional relationships of microbial communities. However, due to the unstructured nature of HTS data, nearly all computational models are limited to processing DNA sequences individually. This limitation causes them to miss out on key interactions between microorganisms, significantly hindering our understanding of how these interactions influence the microbial communities as a whole. Furthermore, most computational methods rely on post-processing of samples which could inadvertently introduce unintentional protocol-specific bias. RESULTS: Addressing these concerns, we present SetBERT, a robust pre-training methodology for creating generalized deep learning models for processing HTS data to produce contextualized embeddings and be fine-tuned for downstream tasks with explainable predictions. By leveraging sequence interactions, we show that SetBERT significantly outperforms other models in taxonomic classification with genus-level classification accuracy of 95%. Furthermore, we demonstrate that SetBERT is able to accurately explain its predictions autonomously by confirming the biological-relevance of taxa identified by the model. AVAILABILITY AND IMPLEMENTATION: All source code is available at https://github.com/DLii-Research/setbert. SetBERT may be used through the q2-deepdna QIIME 2 plugin whose source code is available at https://github.com/DLii-Research/q2-deepdna.

Deep Learning

Hybridization capture increases on-target nanopore sequencing of plant RNA tobamovirus- derived cDNA libraries.

High-throughput sequencing (HTS) can support plant virus surveillance, but host nucleic acids often reduce on-target read recovery. We evaluated a targeted hybridization-capture workflow in which barcoded double-stranded cDNA (ds-cDNA) libraries generated from plant RNA extracts spiked with lyophilized tobamovirus-positive controls were enriched before Oxford Nanopore sequencing. Biotinylated probes targeted conserved regions of cucumber green mottle mosaic virus (CGMMV), species Tobamovirus viridimaculae; pepper mild mottle virus (PMMoV), species Tobamovirus capsici; and tobacco mosaic virus (TMV), species Tobamovirus tabaci. Across four pairs per virus, relative target-read abundance increased after capture from 0.76 &#xb1; 0.33% to 37.62 &#xb1; 15.72% for CGMMV, 8.16 &#xb1; 3.86% to 24.68 &#xb1; 12.34% for PMMoV, and 15.62 &#xb1; 10.40% to 36.83 &#xb1; 30.33% for TMV. Exact two-sided Wilcoxon signed-rank tests yielded P = 0.125 for each virus; with four nonzero differences in a common direction, this was the minimum attainable two-sided P value. Genome-coverage breadth was maintained. Retrospective duplex qPCR supported an increased virus-to-18S ratio for CGMMV, showed a variable PMMoV response, and showed a decreased virus-to-18S ratio for TMV because the 18S signal shifted earlier by as much as or more than the TMV signal. The findings provide proof-of-concept evidence for target-dependent library enrichment but do not establish analytical sensitivity, diagnostic performance, or field validity. Validation with naturally infected, low-titer, and mixed-infection samples and comparison with simpler targeted workflows are required.

biosecurity

RePo index: a multidimensional framework to quantify genetic resilience in data-limited amphibian faunas.

This study explores the resilience of Chilean amphibians to environmental disturbances through an integrative approach that combines ecological, demographic, bibliometric, and molecular information. A total of 58 species distributed across 14 genera and 9 families were evaluated via the resilience potential (RePo) index, which incorporates eleven criteria grouped into five dimensions: distribution, population trends, emerging diseases, evolutionary history, and genetic records. The results revealed high ecological vulnerability: 83% of the species were classified as non resilient (45% with no resilience and 38% with low resilience), and none reached the high-resilience category. At the family level, Telmatobiidae presented the lowest resilience values, whereas Leptodactylidae presented the highest. At the genus level, Insuetophrynus was identified as the most vulnerable taxon, with no molecular records and an extremely restricted distribution. In contrast, species such as Rhinella spinulosa and Pleurodema thaul presented moderate resilience, suggesting greater adaptive potential and relevance for functional studies. From a bibliometric perspective, a bias toward classical research topics (distribution, physiology, and taxonomy) was detected, with limited representation of integrative approaches such as genetic conservation or climate change. The conceptual modularity in the literature was low (Q&#x2009;=&#x2009;0.1328), indicating weak thematic differentiation and little integration of omics tools. Most species lack transcriptomic and genomic data, severely limiting the assessment of their adaptive mechanisms. In this context, the RePo index has emerged as an integrative tool useful for operationalizing concepts such as evolutionarily significant units (ESUs) and management units (MUs), which are essential for evidence-based conservation. Finally, this study highlights the need to incorporate high-throughput sequencing (HTS) technologies and to participate in international initiatives, such as the Amphibian Genomics Consortium, as a strategic path forward for advancing adaptive conservation of Chilean amphibians.

Animals

Genome editing with programmable base editors in human cells.

Genome editing has garnered significant attention over the last decade, resulting in a massive expansion of the genome engineering toolbox. Base editors encompass a class of tools that enable installing single-nucleotide changes in genomic DNA without the use of double-strand breaks. With the ever-increasing development of new and/or improved base editor systems, it is easy to be overwhelmed by the abundance of options. Here, we provide clear guidance to facilitate the selection of a base editor and to design guide RNAs (gRNAs) to suit various needs. Additionally, we describe in detail how to generate gRNA plasmids, transfect various mammalian cell types, and evaluate editing efficiencies. Finally, we give alternative methods and troubleshooting tips for some common pitfalls encountered during base editing.

Humans

Characterization of a PRKCE::ETV6 fusion as a potential oncogenic driver in T-cell acute lymphoblastic leukemia.

BACKGROUND: T-cell acute lymphoblastic leukemia (T-ALL) is an aggressive hematologic malignancy caused by mutation accumulation during hematopoiesis. The characterization of chromosomal abnormalities may provide significant insights into genetic mechanisms of malignant transformation in hematopoietic cells. However, T-ALL is genetically very heterogenous and driving mutations as well as clonal markers for the assessment of minimal residual disease are not always identifiable. Hence, there is a clinical need to further refine the genetic landscape of T-ALL including previously unrecognized fusion partners of commonly translocated genes in T-ALL of childhood. RESULTS: In this study, we screened n&#x2009;=&#x2009;229&#xa0;T-ALL cases by our targeted genomic capture high-throughput sequencing (gc-HTS) approach. In total, we identified n&#x2009;=&#x2009;60 gene&#x2013;gene fusions, present in n&#x2009;=&#x2009;57 (25%) of the patients. Nine rare or even unrecognized translocations were identified and validated. Furthermore, owing to its interesting chromosomal structure, we studied the oncogenic potential of the complex rearrangement of chromosome 2 and 12, found in a near-early T-cell progenitor (ETP) ALL that leads to the fusion events PRKCE::ETV6 and ETV6::INO80D. Exogenous expression of PRKCE::ETV6 in Ba/F3 pro-B and D1 T-cells caused interleukin-independent proliferation and enhanced survival upon interleukin withdrawal, respectively. CONCLUSION: Our study underlines the heterogenous mutational landscape in T-ALL. The previously unrecognized PRKCE::ETV6 resulting from a complex rearrangement involving chromosome 2 and 12 demonstrated transforming potential in cytokine-dependent cellular models support the notion of a driver mutation in near ETP-ALL. Our data reconfirm the relevance of ETV6-fusion proteins in the pathogenesis of undifferentiated T-ALL. Importantly, genomic breakpoints at the ETV6 locus represent potentially robust MRD markers for (near) ETP-ALL that lack IG/TR rearrangements.

ETV6::INO80D