Single-cell multimodal profiling reveals cellular epigenetic heterogeneity. Nat. Methods 2016, 13, 833. [CrossRef] [PubMed]L.F. Cheow, E.T. Courtois, Y. Tan, R. Viswanathan, Q. Xing, R.Z. Tan, D.S. Tan, P. Robson, Y.-H. Loh, S.R. Quake, et al., Single-cell multimodal ...
2, 3, and 5 have been mapped to a human transcriptomic cellular reference atlas and assigned electrophysiological and morphological features to the mapped t-types [16,61,64]. This multimodal analysis has identified
Sample heterogeneity often masks DNA methylation signatures in subpopulations of cells. Here, we present a method to genotype single cells while simultaneously interrogating gene expression and DNA methylation at multiple loci. We used this targeted multimodal approach, implemented on an automated, high-...
Here, we present a deep probabilistic framework for the mosaic integration and knowledge transfer (MIDAS) of single-cell multimodal data. MIDAS simultaneously achieves dimensionality reduction, imputation and batch correction of mosaic data by using self-supervised modality alignment and information-...
Advances in single-cell genomics technologies have enabled investigation of the gene regulation programs of multicellular organisms at unprecedented resolution and scale. Development of single-cell multimodal omics tools is another major step toward understanding the inner workings of biological systems. ...
Multimodal single-cell/nucleus RNA sequencing data analysis uncovers molecular networks between disease-associated microglia and astrocytes with implications for drug repurposing in Alzheimer's disease Systematic identification of molecular networks in disease relevant immune cells of the nervous system is ...
single cell genomics multimodal analysis CITE-seq immune system T cell reference mapping COVID-19 Introduction The potential to catalog and characterize the rich diversity of cell types in the human immune system represents a powerful opportunity for single-cell genomics (Chen et al., 2019a; Gomes...
Single-cell multimodal profiling reveals cellular epigenetic heterogeneity. Nat Methods. 2016;13:833–6. Article CAS PubMed Google Scholar Bian S, Hou Y, Zhou X, Li X, Yong J, Wang Y, et al. Single-cell multiomics sequencing and analyses of human colorectal cancer. Science. 2018;362:...
Single-cell multimodal sequencing technologies are developed to simultaneously profile different modalities of data in the same cell. It provides a unique opportunity to jointly analyze multimodal data at the single-cell level for the identification of distinct cell types. A correct clustering result is...
Hierarchical clustering was employed to detect CNV subclones within individual cell lines. We concentrated on chromosomal locations that differed considerably and reasoned that the presence of multiple CNV subclones in a single cell line would be reflected in a multimodal distribution of CNV signal for...