Correlations in gene expression are used to infer functional and regulatory relationships between genes. However, correlations are often calculated...
Read More »Mount Sinai researchers present a comprehensive, single-nucleus RNA sequencing atlas of late prenatal human development
Late prenatal development of the human neocortex encompasses a critical period of cortical expansion and glial development (cells that are essential to the central nervous system), which is poorly understood...
Read More »Plant single-cell/nucleus RNA-seq workflow
Single-cell transcriptomics technologies allow researchers to investigate how individual cells, in complex multicellular organisms, differentially use their common genomic DNA. In plant biology...
Read More »Strategy for RNA-Seq experimental design and data analysis
Ribonucleic acids (RNAs) are fundamental molecules that control regulation and expression of the genome and therefore the function of a cell. Robust analysis and quantification of RNA transcripts hold...
Read More »Impact of the Human Cell Atlas on medicine
Single-cell atlases promise to provide a ‘missing link’ between genes, diseases and therapies. By identifying the specific cell types, states, programs and contexts where disease-implicated genes act...
Read More »AS-CMC – a pan-cancer database of alternative splicing for molecular classification of cancer
Alternative splicing (AS) is a post-transcriptional regulation that leads to the complexity of the transcriptome. Despite the growing importance of...
Read More »Data analysis guidelines for single-cell RNA-seq in biomedical studies and clinical applications
The application of single-cell RNA sequencing (scRNA-seq) in biomedical research has advanced our understanding of the pathogenesis of disease...
Read More »scPolyA-seq – comprehensive mapping of alternative polyadenylation site usage and its dynamics at single-cell resolution
Alternative polyadenylation (APA) plays an important role in posttranscriptional gene regulation such as transcript stability and translation efficiency. However, our knowledge about APA dynamics at the single...
Read More »DeepVelo – single-cell transcriptomic deep velocity field learning with neural ordinary differential equations
Recent advances in single-cell sequencing technologies have provided unprecedented opportunities to measure the gene expression profile and RNA velocity of individual cells. However...
Read More »Improved bacterial single-cell RNA-seq
Bulk RNA-sequencing technologies have provided invaluable insights into host and bacterial gene expression and associated regulatory networks. Nevertheless, the majority of these approaches...
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