Searching journal content for articles similar to Valli et al. 26 (4): 519.

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  1. ...and target genes (Gao et al. 2023).Single-cell RNA sequencing (scRNA-seq) enables gene expression profiling at the individual cell level, revealing cellular heterogeneity with single-cell resolution and significantly enhancing the understanding of cell type–specific gene regulation (Chen and Liu 2022; Kartha...
  2. ...material. This has led to the identification of genes with more or less pronounced parental origin-specific allelic bias rather than a completely monoallelic expression pattern (Perez et al. 2015; Andergassen et al. 2017). Single-cell RNA-seq performed in the mouse cortex further shows that monoallelic...
  3. ....scPSS identifies damaged cells and damage progression in mouse infarcted heart tissueWe validated scPSS using single-cell transcriptomic data from mouse hearts before and after myocardial infarction (MI) (Calcagno et al. 2022). The data set contains labeled cardiomyocytes (CMs) from three distinct regions...
  4. ...for the discovery of structural variation (Rhoads and Au 2015; Jain et al. 2018; Mahmoud et al. 2019; Miga et al. 2020; De Coster et al. 2021). These advances now enable the study of the complete spectra of SMs in MA lines. The single-celled green alga Chlamydomonas reinhardtii is an excellent model for mutation...
  5. ...usage, transcription can start at two different positions. In alternative poly(A) site usage, the 3′ untranslated region can vary in length. In alternative donor or acceptor site usage, the boundary between an exon and an intron can shift. In intron retention, an intron can be included in the mature mRNA...
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  6. ...in Caenorhabditis elegans and Saccharomyces cerevisiae (Kim et al. 2021; Kockler et al. 2021; Sholes et al. 2021).We recently provided a comprehensive map of all 34 subtelomeres of the unicellular green alga Chlamydomonas reinhardtii (17 chromosomes as haploid, 111 Mb) (Chaux-Jukic et al. 2021). All contain arrays...
  7. ...for Imaging Science, Johns Hopkins University, Baltimore, Maryland 21218, USA Corresponding author: awang87@jhu.eduAbstractThe selection of marker gene panels is critical for capturing the cellular and spatial heterogeneity in the expanding atlases of single-cell RNA sequencing (scRNA-seq) and spatial...
  8. ...of finding reprogramming TFs and their combinations as an inverse problem, and used Tikhonov regularization to guarantee the generalization ability of solutions. For the coefficient matrix of the model, we designed a graph attention network to augment gene regulatory networks built with single-cell RNA...
  9. .... 2023).To address these challenges, we developed Polyomino, a robust and efficient framework that incorporates multilayer regionalization constraints to improve spatial mapping. This method aims to enhance mapping accuracy under noise, support large-scale data sets, and achieve single-cell-level mapping...
  10. ....beerenwinkel@bsse.ethz.chAbstractIn cancer, genetic and transcriptomic variations generate clonal heterogeneity, leading to treatment resistance. Long-read single-cell RNA sequencing (LR scRNA-seq) has the potential to detect genetic and transcriptomic variations simultaneously. Here, we present LongSom, a computational workflow leveraging...
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