Results 1 to 10 of about 1,335,933 (257)

From bulk, single-cell to spatial RNA sequencing

open access: yesInternational Journal of Oral Science, 2021
RNA sequencing (RNAseq) can reveal gene fusions, splicing variants, mutations/indels in addition to differential gene expression, thus providing a more complete genetic picture than DNA sequencing.
Xinmin Li, Cun-Yu Wang
doaj   +2 more sources

RNA modifications detection by comparative Nanopore direct RNA sequencing

open access: yesNature Communications, 2021
Nanopore direct RNA Sequencing data contain information about the presence of RNA modifications, but their detection poses substantial challenges. Here the authors introduce Nanocompore, a new methodology for modification detection from Nanopore data.
Adrien Leger   +18 more
doaj   +2 more sources

HCC: RNA-Sequencing in Cirrhosis

open access: yesBiomolecules, 2023
Hepatocellular carcinoma (HCC) ranks the most common types of cancer worldwide. As the fourth leading cause of cancer-related deaths, its prognosis remains poor. Most patients developed HCC on the basis of chronic liver disease. Cirrhosis is an important
Haoyu Wang   +7 more
doaj   +3 more sources

Quantification of substoichiometric modification reveals global tsRNA hypomodification, preferences for angiogenin-mediated tRNA cleavage, and idiosyncratic epitranscriptomes of human neuronal cell-lines

open access: yesComputational and Structural Biotechnology Journal, 2023
Modification of tRNA is an integral part of the epitranscriptome with a particularly pronounced potential to generate diversity in RNA expression. Eukaryotic tRNA contains modifications in up to 20% of their nucleotides, but not all sites are always ...
Florian Pichot   +9 more
doaj   +1 more source

Advances in Non-Coding RNA Sequencing

open access: yesNon-Coding RNA, 2021
Non-coding RNAs (ncRNAs) comprise a set of abundant and functionally diverse RNA molecules. Since the discovery of the first ncRNA in the 1960s, ncRNAs have been shown to be involved in nearly all steps of the central dogma of molecular biology.
Julia Micheel   +2 more
doaj   +1 more source

Holistic Optimization of Bioinformatic Analysis Pipeline for Detection and Quantification of 2′-O-Methylations in RNA by RiboMethSeq

open access: yesFrontiers in Genetics, 2020
A major trend in the epitranscriptomics field over the last 5 years has been the high-throughput analysis of RNA modifications by a combination of specific chemical treatment(s), followed by library preparation and deep sequencing.
Florian Pichot   +10 more
doaj   +1 more source

Utility of nanopore sequencing for detecting pathogens in bronchoalveolar lavage fluid from pediatric patients with respiratory failure

open access: yesJournal of Clinical Virology Plus, 2023
RNA viruses are the most frequent pathogens responsible for respiratory infections, particularly in pediatric patients. Next-generation sequencing, represented by Illumina sequencing, is one of the most comprehensive methods for identifying pathogens ...
Makoto Yamaguchi   +11 more
doaj   +1 more source

Advances in application of single-cell RNA sequencing in cardiovascular research

open access: yesFrontiers in Cardiovascular Medicine, 2022
Single-cell RNA sequencing (scRNA-seq) provides high-resolution information on transcriptomic changes at the single-cell level, which is of great significance for distinguishing cell subtypes, identifying stem cell differentiation processes, and ...
Yue Hu   +10 more
doaj   +1 more source

Dual RNA-Seq of Mtb-Infected Macrophages In Vivo Reveals Ontologically Distinct Host-Pathogen Interactions

open access: yesCell Reports, 2020
Summary: Dissecting the in vivo host-pathogen interplay is crucial to understanding the molecular mechanisms governing control or progression of intracellular infections.
Davide Pisu   +3 more
doaj   +1 more source

MultiEditR: The first tool for the detection and quantification of RNA editing from Sanger sequencing demonstrates comparable fidelity to RNA-seq

open access: yesMolecular Therapy: Nucleic Acids, 2021
We present MultiEditR (Multiple Edit Deconvolution by Inference of Traces in R), the first algorithm specifically designed to detect and quantify RNA editing from Sanger sequencing (z.umn.edu/multieditr).
Mitchell G. Kluesner   +8 more
doaj   +1 more source

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