Furthermore, scRNA-seq provides unique opportunities to assess the regulation, evolution and interaction of individual cells and the identification of specific cell types17,19. Although scRNA-seq has been increasingly adopted, its application to senescence in cancer is still limited. In this paper, ...
The single-cell RNA sequencing (scRNA-seq) is an emerging technology that provides a powerful tool for identifying cell types and cell states by analyzing the expression profile of an individual cell's transcriptome [30,31]. This technique has been successfully utilized to gain insights into the ...
Currently, multiple morphological and immunofluorescence markers are required for senescent cell identification. "However, emerging scRNA-seq datasets have enabled increased understanding of the heterogeneity of senescence. "Here we present SenPred, a machine-learning pipeline which can identify senescence ...
Here we present scGHOST, a single-cell subcompartment annotation method using graph embedding with constrained random walk sampling. Applications of scGHOST to scHi-C data and contact maps derived from single-cell 3D genome imaging demonstrate reliable identification of single-cell subcompartments, ...
[94]. To address the knowledge gap regarding the contribution of T cell senescence to the anti-immunotherapy effect, Rutella et al. conducted a study combining bulk and single-cell RNA sequencing to characterize how AML cells promote the senescence-like CD8+T cells [87]. They found that AML...
Conventional technology for genetic sequencing analyzes cells group by group, and the specificity of each single cell may be neglected. However, the scMCA mapped by Microwell-Seq can clearly present the differentiation, lesion and senescence of each single cell. ...
To perform unbiased identification of cell types in filtered sample datasets and the combined dataset, we used the R package SingleR (v1.4.1), a computational framework that references bulk transcriptomes and helps annotate cell types for each cluster. The built-in Mouse RNAseq Data (MRD) in ...
Previous analyses of gene expression during reprogramming were based on populations of cells, impeding single-cell level identification of reprogramming events. We utilized two gene expression technologies to profile 48 genes in single cells at various stages during the reprogramming process. Analysis of ...
UUO and SO models were predominantly S1-Injured. Notably, the IRI model contains a large number of S1-Maladaptive PTCs.HKyoto Encyclopedia of Genes and Genomes (KEGG) analysis of the molecular pathways involved in 7 different states of PTCs. Inflammation, cellular senescence, cell death, and cyt...
It also has antioxidant activity, protecting cellular structures from oxidative damage and delaying senescence. Interestingly, melatonin regulates the expression of ET-related genes, thereby affects fruit ripening and post-harvest processes [162,163]. Last but not least, melatonin functions as a ...