Data analysis guidelines for single-cell RNA-seq in biomedical studies and clinical applications
M Su, T Pan, QZ Chen, WW Zhou, Y Gong, G Xu… - Military Medical …, 2022 - Springer
The application of single-cell RNA sequencing (scRNA-seq) in biomedical research has
advanced our understanding of the pathogenesis of disease and provided valuable insights …
advanced our understanding of the pathogenesis of disease and provided valuable insights …
Decoding aging hallmarks at the single-cell level
S Ma, X Chi, Y Cai, Z Ji, S Wang, J Ren… - Annual Review of …, 2023 - annualreviews.org
Organismal aging exhibits wide-ranging hallmarks in divergent cell types across tissues,
organs, and systems. The advancement of single-cell technologies and generation of rich …
organs, and systems. The advancement of single-cell technologies and generation of rich …
Inferring neuron-neuron communications from single-cell transcriptomics through NeuronChat
Neural communication networks form the fundamental basis for brain function. These
communication networks are enabled by emitted ligands such as neurotransmitters, which …
communication networks are enabled by emitted ligands such as neurotransmitters, which …
Spatial transcriptomic analysis of primary and metastatic pancreatic cancers highlights tumor microenvironmental heterogeneity
Although the spatial, cellular and molecular landscapes of resected pancreatic ductal
adenocarcinoma (PDAC) are well documented, the characteristics of its metastatic ecology …
adenocarcinoma (PDAC) are well documented, the characteristics of its metastatic ecology …
Systems-based approaches to study immunometabolism
Technical advances at the interface of biology and computation, such as single-cell RNA-
sequencing (scRNA-seq), reveal new layers of complexity in cellular systems. An emerging …
sequencing (scRNA-seq), reveal new layers of complexity in cellular systems. An emerging …
Targeting neoadjuvant chemotherapy-induced metabolic reprogramming in pancreatic cancer promotes anti-tumor immunity and chemo-response
R Tang, J Xu, W Wang, Q Meng, C Shao, Y Zhang… - Cell Reports …, 2023 - cell.com
The molecular dynamics of pancreatic ductal adenocarcinoma (PDAC) under chemotherapy
remain incompletely understood. The widespread use of neoadjuvant chemotherapy (NAC) …
remain incompletely understood. The widespread use of neoadjuvant chemotherapy (NAC) …
Generation and analysis of context-specific genome-scale metabolic models derived from single-cell RNA-Seq data
Single-cell RNA sequencing combined with genome-scale metabolic models (GEMs) has
the potential to unravel the differences in metabolism across both cell types and cell states …
the potential to unravel the differences in metabolism across both cell types and cell states …
Interpretable machine learning methods for predictions in systems biology from omics data
Machine learning has become a powerful tool for systems biologists, from diagnosing
cancer to optimizing kinetic models and predicting the state, growth dynamics, or type of a …
cancer to optimizing kinetic models and predicting the state, growth dynamics, or type of a …
[HTML][HTML] Toward modeling metabolic state from single-cell transcriptomics
Background Single-cell metabolic studies bring new insights into cellular function, which can
often not be captured on other omics layers. Metabolic information has wide applicability …
often not be captured on other omics layers. Metabolic information has wide applicability …
Single‐cell and spatial analyses reveal the association between gene expression of glutamine synthetase with the immunosuppressive phenotype of APOE+ CTSZ+ …
J Wei, W Yu, J Chen, G Huang, L Zhang… - Molecular …, 2023 - Wiley Online Library
An immunosuppressive state is regulated by various factors in the tumor microenvironment
(TME), including, but not limited to, metabolic plasticity of immunosuppressive cells and …
(TME), including, but not limited to, metabolic plasticity of immunosuppressive cells and …