Beyond bulk: a review of single cell transcriptomics methodologies and applications

2019/04/09 by Ashwinikumar Kulkarni, Ashley G. Anderson, Devin P. Merullo +2 · 12 citations
Biochemistry, Genetics and Molecular Biology · Neuroscience · #Gene Regulatory Network Analysis #Neuroinflammation and Neurodegeneration Mechanisms #Single-cell and spatial transcriptomics

paper · doi:10.1016/j.copbio.2019.03.001

openalex publication_date 2019/04/09 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/30

Citations

• RNA velocity of single cells

Cited by

• Global quantitative proteomic analysis profiles of host protein expression in response to enterovirus A71 infection in bronchial epithelial cells based on tandem mass tag (TMT) peptide labeling coupled with LC-MS/MS uncovers the key role of proteasome in virus replication
• Next-Generation Sequencing Technology: Current Trends and Advancements
• Dominance reversals: the resolution of genetic conflict and maintenance of genetic variation
• Decoding bioprocesses with transcriptomics: current status and future potential
• Revisiting qRT-PCR for gene expression profiling in single cells toward diagnostics
• Probing the Feasibility of Single-Cell Fixed RNA Sequencing from FFPE Tissue
• Single‐Cell and Spatial Multiomics: Applications for Diseases
• Generalizing RNA velocity to transient cell states through dynamical modeling
• From gene regulatory networks to social networks: integrative sociogenomics from single cell to superorganism
• Multimodal deep learning approaches for single-cell multi-omics data integration
• Robust decomposition of cell type mixtures in spatial transcriptomics
• A Statistical Framework for Co-Mediators of Zero-Inflated Single-Cell RNA-Seq Data