Searching journal content for articles similar to Mishra et al. 33 (2): 218.

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  1. ...Although recent years have seen the development of single-cell technologies to survey new molecular modalities such as proteins and chromatin accessibility, scRNA-seq has been mostly widely used to study human disease because of its maturity. Since the first transcriptome-wide profiling of mRNA by high...
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  2. ..., Dee N, et al. 2018. Single-nucleus and single-cell transcriptomes compared in matched cortical cell types. PLoS One 13: e0209648. doi:10.1371/journal.pone.0209648 ↵Bartlett DA, Dileep V, Baslan T, Gilbert DM. 2022. Mapping replication timing in single mammalian cells. Curr Protoc 2: e334. doi:10...
  3. ...recent analyses of single cell transcriptomes have revealed heterogeneity in each of these cell populations (Sanjuan-Pla et al. 2013; Psaila et al. 2016). Overall, analyses of single cell transcriptomes support an ensemble of pathways for differentiation (Nestorowa et al. 2016; Laurenti and Göttgens 2018...
  4. ...I:C), a synthetic viral mimic, and 19 profile transcriptomic and epigenomic responses in the primary haematopoietic and 20 lymphoid tissue. We used ATAC-seq and ChIP-seq (H3K27ac and H3K27me3), combined 21 with mRNA-seq, to comprehensively examine modifications in gene regulation following 22...
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  5. ...technology has revolutionized biological, biomedical, and clinical research. Hundreds of sequencing-based methods exist today to query gene expression (RNA-seq) (Mortazavi et al. 2008), chromatin state (chromatin immunoprecipitation [ChIP]-seq and ATAC-seq) (Barski et al. 2007; Buenrostro et al. 2013...
  6. ...of native chromatin for fast and sensitive epigenomic profiling of open chromatin, DNA-binding proteins and nucleosome position. Nat Methods 10: 1213–1218. ↵Burridge PW, Matsa E, Shukla P, Lin ZC, Churko JM, Ebert AD, Lan F, Diecke S, Huber B, Mordwinkin NM, et al. 2014. Chemically defined generation...
  7. ...-quality sequence and a variety of genetic tools are available for this model organism. However, existing annotation is still rudimentary, as it was mainly based on computational prediction and short-read RNA-seq data. Here we report a dynamic transcriptome landscape of medaka embryogenesis profiled by long...
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