Searching journal content for articles similar to Han et al. 28 (1): 75.

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  1. ...genomics. Early works in molecular biology on gene expression were limited, because purified RNA is unstable and difficult to work with. However, the discovery (and use in the laboratory) of reverse transcriptase, permitting the controlled synthesis of RNAs into cDNAs (Maniatis et al. 1976...
  2. ...Biosciences). After clonal expansion, genomic DNA was extracted from each clone using the SimplePrep reagent for DNA (Takara, #9180) and screened for mutations by quantitative PCR (qPCR). Candidate clones were further verified for mutations by Sanger sequencing.RNA interferenceSmall interfering RNA (siRNA...
  3. ...as only one allele is expressed. Allele-specific DNA methylation and chromatin composition are two well-established epigenetic systems that control imprinted gene expression (Fournier et al. 2002; Singh et al. 2010; Prendergast et al. 2012).ASE can reflect differential rates of transcription, mRNA...
  4. ...peptides to the immune system (Voorter et al. 2016), it is critical to understand how polymorphisms impact HLA pre-mRNA maturation. However, due to the technical challenges associated with analyzing HLA transcripts using short-read RNA-seq reads, HLA genetic variation has been primarily studied at the DNA...
  5. ...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...
  6. ...“logistic mixing,” a neural network without hidden layers that uses a simple update rule to adjust the output probabilities for better bitstream coding. This idea has been brought to genomic compression of sequencing reads with GeCo3 (Silva et al. 2020). Another recent use of neural networks for DNA...
  7. ...K, Ooka H, Yamamoto M, Suzuki K, Kawai J, Carninci P, Ohtomo Y, Murakami K, et al. 2003. Antisense transcripts with rice full-length cDNAs. Genome Biol 5: R5. Ozsolak F, Milos PM. 2011. RNA sequencing: advances, challenges and opportunities. Nat Rev Genet 12: 87–98. Peisley A, Jo MH, Lin C, Wu B...
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  8. ...-by-one testing limitation of these classic reporter assays, MPRAs add a DNA barcode that is transcribed if the sequence has regulatory activity and can be measured via RNA-sequencing (RNA-seq), providing a way to examine the functional effects of thousands of sequences in parallel (Patwardhan et al. 2009; Inoue...
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  9. ...number alterations (CNAs), which occur in more than 90% of solid tumors (Hieronymus et al. 2018; Hoadley et al. 2018; Steele et al. 2022; Martínez-Jiménez et al. 2023). In addition to traditional genomic mutation features, -wide cfDNA sequencing also enables the detection of so-called fragmentomics...
  10. ...al. 2023). While those reads are removed from transcript counts, they are valuable to call SNVs in scRNA-seq (as they come from same-cell DNA) and they can explain the large fraction of intronic variants we observed. A whole- sequencing (WGS) study of a cohort of 962 individuals (Morrison et al. 2013...
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