Searching journal content for articles similar to Zhang et al. 28 (11): 1621.

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  1. ...with the Connectivity Map (CMap) database and the drug–target interactome (Fig. 1C). This approach facilitated the identification of candidate repurposable drugs for each major brain cell type across AD progression.Overview of snRNA-seq and snATAC-seq data across ADNC progressionAD progression staging based on ADNC...
  2. .... 4G).Enrichment of eQTLs and sQTLs in the 3′ UTRs of different cell typesTo explore the functional relationship between 3′ UTR length, gene expression, and splice site regulation across various tissues and cell types, we first retrieved eQTL and sQTL data from the PigGTEx database (Teng et al. 2024...
  3. ...) have demonstrated rapid cell annotation capabilities without needing prior biological knowledge. These methods potentially enable the cell type identification that may be overlooked or difficult to ascertain through manual annotation and have been successfully extended to various scenarios...
  4. ...-specific replication timing differences align with cell-type-specific chromatin features. For the first time, our results enable precise identification of specific chromosomal regions that differ in replication timing and chromatin landscapes between germline and somatic stem-cell populations in the in vivo context...
  5. ..., Germany Corresponding authors: pnavarro@pasteur.fr, job.dekker@umassmed.eduAbstractMitotic chromosomes are considered to be universally folded as loop arrays across species and cell types. However, some studies suggest that features of mitotic chromosomes might be cell type– or species-specific. We...
  6. ..., including cancers, when a well-matched benchmark data set is available.Although recent advances in single-cell/nucleus RNA sequencing (sc/snRNA-seq) offer valuable insights into cell types and states in healthy (Haniffa et al. 2021) and diseased tissues (Gohil et al. 2021; Zeng et al. 2023), highly...
  7. ...TFs bind. In this example, the two locations, denoted as enhancer A and enhancer B in the two cell types, have an optimal combination of a diversity of motifs located in proximity and, thus, best facilitate the collective recruitment of TFs expressed in each cell type. This results in cell type...
  8. ...We have developed the inferring alternative polyadenylation from scRNA-seq (Infernape) pipeline to investigate PA usage from single-cell and spatial transcriptomic data generated from the 10x Genomics platforms. In conjunction with cell-type identification (Zheng et al. 2017; Butler et al. 2018...
  9. ...activation of quasi-prime-containing gene associations related to cancer, whereas simultaneously suppressing quasi-prime-containing genes are associated with cognitive, mental, and developmental disorders. We also show that human disease–causing variants, eQTLs, mQTLs, and sQTLs are 4.43-fold, 4.34-fold, 4...
  10. ...for those cell types. Finally, we calculate CTS eQTLs for 11 brain regions by analyzing Genotype-Tissue Expression Project data, creating a new resource for biological insights.Gene expression quantified at the tissue level, bulk gene expression data, has been a useful resource for understanding...
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