Searching journal content for articles similar to Lu et al. 31 (3): 372.

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  1. ...methods is to reduce the “reference bias” that results when aligning reads to a single reference (Lin et al. 2024). Bias occurs when reads containing non-reference alleles fail to align to their true point of origin, leading to inaccurate results for analyses concerned with hypervariable regions (Brandt...
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  2. ..., enabling a detailed analysis of their transcriptome, chromatin landscapes, and replication timing dynamics. This approach uncovered previously unrecognized chromosome-specific differences in chromatin regulation between GSCs and CySCs, shedding new light on the molecular mechanisms regulating stem...
  3. ...of the disease-relevant tissues and cell types, and exert their effects through gene expression regulation (Albert and Kruglyak 2015; Ratnapriya et al. 2019, 2025). In this study, we analyzed the transcriptomes and epis of microglia from the retina and brain across multiple donors, compared their molecular...
  4. ..., hinging on the precise binding of transcription factors (TFs) and cofactors to gene regulatory elements such as promoters and enhancers. Although it is relatively routine to profile -wide DNA binding landscapes of proteins, identifying the specific proteins that bind to, and regulate the transcription of...
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  5. ...microenvironment on this heterogeneous mutation landscape can lead to the development of treatment-resistant subclones and influence the choice of therapy (Mumenthaler et al. 2015; Zhang et al. 2017; Fisk et al. 2022). Treatment regimens further influence clonal selection and complicate decisions regarding...
  6. ...us to exclude the possibility of positive selection. Variables such as historical population size, the timing of selection onset, genetic drift, and past genetic structure within the Iberian wolf population could influence the rate of allele fixation under positive selection, potentially explaining...
  7. ...(LRTS) and combined complementary data derived from MDS and CLL patients with isogenic cell lines.ResultsLong-read RNA-seq expands patient transcriptome landscapes in divergent biological contextsTo investigate the effect of SF3B1 mutations on splicing, we characterized the transcriptomes of three data...
  8. ...), using the shallower and equally biased PacBio CLR data set from Kim et al. (2014), had to manually fill the gaps in Y-linked genes by integrating CDS sequences from FlyBase (Larkin et al. 2021).The bias primarily affects read initiation but also impairs read extension and basecalling, with read...
  9. ...-regulators and cell type–specific regulatory landscapes of GWAS loci across AD progression by integrative analysis. (A) Top enriched TF motifs for each cell type. The color scale represents −log10 (adjusted P-value) of the normalized enrichment score. (B) Tn5 bias-corrected TF footprinting for SPI1. (C) Positive TF...
  10. ...the model for cell subclasses with at least 100 nuclei 546 in total and 10 nuclei in any biological replicate of each age stage, focusing on genes expressed 547 in at least 10 nuclei. To avoid sex bias, we only assessed genes on autosomes. The p-value 548 tested whether the effect of age was significantly...
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