Searching journal content for articles similar to Marinov et al. 24 (3): 496.

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  1. ...@bcm.eduAbstractThe vast majority of protein-coding genes in the human produce multiple mRNA isoforms through alternative splicing, significantly enhancing the complexity of the transcriptome and proteome. To establish an efficient method for characterizing transcript isoforms within tissue samples, we conducted...
  2. ..., the abundance of noncoding transcripts of protein-coding genes visible in the long-read data would have resulted in an ∼20% overestimation of protein expression based on short-read data (Dondi et al. 2023). Associations between genotype and splicing changes using ONT single-cell RNA-seq were likewise observed...
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  3. ...has a unique expression state comprising a collection of regulatory factors and target gene behavior, single-cell RNA sequencing (scRNA-seq) can provide a transcriptome-level understanding of how individual cells function in pluripotency (Wen and Tang 2016). These data can also reveal insights...
  4. ...@berkeley.eduAbstractAlternative splicing shapes the transcriptome and contributes to each cell's unique identity, but single-cell RNA sequencing (scRNA-seq) has struggled to capture the impact of alternative splicing. We previously showed that low recovery of mRNAs from single cells led to erroneous conclusions about the cell...
  5. .... Comprehensiveness of self-representation by TEC cannot, however, be measured by gene number alone because self-peptidome diversity is elaborated by alternative mRNA splicing (Anderson et al. 2000; Klein et al. 2000; Wang and Burge 2008), expression of “untranslated” regions (Starck and Shastri 2016), RNA...
  6. ...mechanisms that underlie this process. Presently, these remain largely unknown with the notable exception of the involvement of AIRE which interacts with proteins involved in chromatin structure, DNA damage response, gene transcription, and RNA processing (Abramson et al. 2010; Gaetani et al. 2012...
  7. ...-quality RNA samples.Demonstration with microdissected cellsTo take advantage of Smart-3SEQ's compatibility with small amounts of degraded RNA, we used the method to study single-cell gene expression in the context of the tumor microenvironment, which is a mix of benign and malignant cells. We compared...
  8. ...be an underestimation given that genes without high transcriptional levels (Fragments Per Kilobase of exon per Million fragments mapped, FPKM> 100) like LTR-mediated retrocopies (Supplemental Table 11) tend to be neglected in single-cell RNA-seq data (Marinov et al. 2014). Overall, these lines of evidence in mouse...
  9. ...↵Love MI, Huber W, Anders S. 2014. Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2. Genome Biol 15: 550. doi:10.1186/s13059-014-0550-8 ↵Marinov GK, Williams BA, McCue K, Schroth GP, Gertz J, Myers RM, Wold BJ. 2014. From single-cell to cell-pool transcriptomes...
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