Single-cell and spatial transcriptomics -- 专题文献

专题：Single-cell and spatial transcriptomics

This cluster of papers focuses on the comprehensive integration and analysis of single-cell transcriptomic data, covering topics such as cell types, spatial profiling, lineage tracking, data integration, gene expression, and cell heterogeneity. The research explores various technologies and computational methods to study the transcriptomic landscape at the single-cell level.

专题：Single-cell and spatial transcriptomics

最新文献

Non-invasive profiling of the tumour microenvironment with spatial ecotypes

Sex effects on gene expression across the human cerebral cortex at cell type resolution

A transcriptomic microglia taxonomy across mouse and human pathologies

Spatial transcriptomics maps host–gut microbiome biogeography at high resolution

Organism-wide cellular dynamics and epigenomic remodeling in mammalian aging

Spatial transcriptomics reveals a key role of fibroblast-like vascular smooth muscle cells in human atherosclerotic cell crosstalk and stability

UCell and pyUCell: single-cell gene signature scoring for R and Python

Challenges and Opportunities in Multi-Omics Data Acquisition and Analysis: Toward Integrative Solutions

Artificial Intelligence for Exosomal Biomarker Discovery for Cardiovascular Diseases: Multi-Omics Integration, Reproducibility, and Translational Prospects

Whole-embryo spatial transcriptomics at subcellular resolution from gastrulation to organogenesis

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