A good separation according to age and genotype was also observed (Figure 1D; see principal-component analysis on https://www.alzmap.org/). The spots of wild-type (WT) mice 12 and 18 months of age overlap (purple and red in Figure 1D), whereas the AppNL-G-F transcriptomics profile ...
Transcriptomics is a significant advance in combining high-throughput sequencing and bioinformatics to explore biological mechanisms [5]. However, sequencing analysis of bulk tissue obscured individual cell phenotypic and functional differences and could not identify the molecular features of single-cell resol...
test2_reads.bed test2_stdata.tsv 二、运行Spatial Transcriptomics Analysis (base)[Robin@SC-201910280935data]$ unsupervised.py--help usage:unsupervised.py[-h]--counts-table-files COUNTS_TABLE_FILES[COUNTS_TABLE_FILES...][--normalization[STR]][--num-clusters[INT]][--num-exp-genes[FLOAT]][--...
In this study, ESPL status is analyzed. Immune microenvironment analysis reveals an immune suppressive condition in ESPL stages. Principal component and DEGs analysis indicate that cancer-like changes primarily initiate at the HGIN stage. Certain DEGs demonstrate progressive increase or decrease throughout...
Registration of slices to a common anatomical reference space via the Spatial Transcriptomics Analysis Tool (STAnly) allows the unrestricted analysis of transcriptomic data across entire brain slices Our deconvolution approach (used in Figs. 1–4) subdivides a given brain slice into different larger br...
Methods: This study involved the re-analysis of single-cell RNA (scRNA) and spatial transcriptomics (ST) data from publicly available datasets. The focus was on investigating the subpopulations and differentiation trajectories of B cells in the gastric cancer (GC) tumor immune microenvironment (TIME...
Spatial transcriptomics technologies developed in recent years can provide various information including tissue heterogeneity, which is fundamental in biological and medical research, and have been making significant breakthroughs. Single-cell RNA sequen
Spatial transcriptomics (ST) is a method that maps gene expression in tissue while preserving spatial information. It can reveal cellular heterogeneity, spatial organization and functional interactions in complex biological systems. ST can also complement and integrate with other omics methods to provide ...
However, the technological limitations hinder the in vivo investigation of BPH patients. Methods The robust cell type decomposition (RCTD) method was employed to integrate spatial transcriptomics and single cell RNA sequencing profiles, enabling the elucidation of epithelial cell alterations during nodular ...
Transcriptomics offers a high-throughput method to examine gene expression differences during development and disease. However, conventional methods for transcriptomic analysis, such as bulk RNA sequencing (RNA-seq) or single-cell RNA sequencing (scRNA-seq) have limitations in preserving the spatial infor...