Searching journal content for articles similar to Battle et al. 24 (1): 14.

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  1. ...), and the development of microarrays first (Schena et al. 1995) and high-throughput sequencing later (Margulies et al. 2005) boosted our capacity to analyze transcriptomes. Nowadays, the most common technique to analyze gene expression is RNA sequencing (RNA-seq). This technique consists of first isolating RNA from...
  2. ...and is expected to improve the interpretation of transcriptomic data in future genomic studies.RNA sequencing (RNA-seq) has become an essential tool for characterizing transcriptomes (Stark et al. 2019), enabling comprehensive profiling of gene expression, including tissue-specific patterns, disease...
  3. ..., the distribution and function of m3C in poly(A) RNA remain largely unknown.In this study, we aim to identify METTL2A-mediated m3C sites in poly(A) RNA using nanopore-based comparative direct RNA sequencing to characterize their distribution and function.ResultsMETTL2A is required for the proliferation...
  4. ...short-read sequencing strategies to detect m6A are inherently limited to aggregate measurements and are incapable of quantification at an individual molecular level.In contrast, Oxford Nanopore Technologies (ONT) RNA sequencing enables direct detection of RNA modifications such as m6A with single...
  5. ..., Miller HW, McElrath MJ, Prlic M, et al. 2015. MAST: a flexible statistical framework for assessing transcriptional changes and characterizing heterogeneity in single-cell RNA sequencing data. Genome Biol 16: 278. doi:10.1186/s13059-015-0844-5 ↵Haber AL, Biton M, Rogel N, Herbst RH, Shekhar K, Smillie C...
  6. ...-Marín et al. 2021).Single-cell RNA sequencing (scRNA-seq) has widely been used to characterize cell-specific transcriptomic differences in various neuronal tissues (Tian et al. 2021). Currently, scRNA-seq data primarily consist of short-read sequencing technologies because of their high accuracy...
  7. ...These authors contributed equally to this work. Corresponding author: yosephb@upenn.eduAbstractMapping transcriptomic variations using either short- or long-read RNA sequencing is a staple of genomic research. Long reads are able to capture entire isoforms and overcome repetitive regions, whereas short reads...
  8. ...-mutated subclones exhibit distinct transcriptomic behavior when compared to other cancer subclones. To achieve these goals, we use scBayes, which integrates bulk DNA sequencing and single-cell RNA sequencing (scRNA-seq) data to genotype individual cells for subclone-defining mutations. Although the most common...
  9. ...of disease relapse and the discovery of novel genes and transcripts with evidence of cancer cell-intrinsic expression and potential association with disease relapse.ResultsTo demonstrate the feasibility of utilizing long-read RNA sequencing technologies for characterizing ccRCC transcriptomes in archival...
  10. ..., catalyzed by the adenosine deaminase acting on RNA (ADAR) enzymes, is a posttranscriptional process that modifies RNA sequences and diversifies the transcriptome. ADARs bind to double-stranded RNA (dsRNA) and their specificity and efficiency are affected by the structural properties of these substructures...
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