Searching journal content for articles similar to Pleasance et al. 13 (6a): 1203.

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  1. ...and in vivo labeling of unperturbed cells (TT-seq or TTchem-seq) (Schwalb et al. 2016; Gregersen et al. 2020). TT-seq methods have been widely used to study transcription dynamics.To balance RNA yield without compromising transcription dynamics, we assessed the degree of 4sU incorporation following different...
  2. ...expression. In conjunction with our ready-to-use computational workflows, STRIPE-seq is a straightforward, efficient means by which to probe the landscape of transcriptional initiation.Understanding the spatiotemporal control of transcriptional initiation hinges on accurate identification of transcription...
  3. ...-length cDNA sequencing (Miura et al. 2006), 5′ serial analysis of gene expression (5′SAGE) (Zhang and Dietrich 2005), and computational identification of transcript boundaries from measurements using tiling microarrays (Xu et al. 2009) or RNA-seq (Nagalakshmi et al. 2008). Importantly, the latter two...
  4. ...-throughput sequencing, SAGE-Seq, for the accurate quantification of normal and neoplastic mammary epithelial cell transcriptomes. We develop data analysis pipelines that allow the mapping of sense and antisense strands of mitochondrial and RefSeq genes, the normalization between libraries, and the identification...
  5. ...by the given species). Following this notation, the probability that a transcript will be detected in copy numbers between r1 and r2 (inclusive) is: The binomial distribution of tag sampling provides a simple assessment of the significance of the difference detected in SAGE experiments directed at differential...
  6. ...integrated analyses of single-cell RNA-seq data from multiple human tissues and organs. Single-cell epigenomic data further indicate that the expression is likely driven by an alternative promoter at the end of the first exon, resulting in at least one shorter transcript (referred to as sXIST) that is active...
  7. .... , Bourque, G. , George, J. , Leong, B. , Liu, J. , et al. ( 2006 ) The Oct4 and Nanog transcription network regulates pluripotency in mouse embryonic stem cells . Nat. Genet. 38 : 431 – 440 . ↵ Margulies, E.H. , Kardia, S.L. , Innis, J.W. ( 2001 ) Identification and prevention of a GC content bias in SAGE...
  8. ...Analysis of mRNA With Microsomal Fractionation Using a SAGE-Based DNA Microarray System Facilitates Identification of the Genes Encoding Secretory Proteins Nobuaki Toyoda 1 , 2 , Shigenori Nagai 1 , Yuya Terashima 1 , Kazushi Motomura 1...
  9. ...,544 vs. 97,948), representing an increase in the number of unique transcripts by 20.1% (34,525 vs. 28,738). Ninety-five percent of the additional unique transcripts were represented by SAGE tags observed once. Therefore, using phred in combination with eSAGE allowed us to define the minimum acceptable...
  10. ...Genome-wide identification of conserved regulatory function in diverged sequences Leila Taher 1 , David M. McGaughey 2 , Samantha Maragh 2 , 3 , Ivy Aneas 4 , Seneca L. Bessling 2 , Webb Miller 5 , Marcelo A. Nobrega 4...
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