Over the last 5 years, single cell methods have enabled the monitoring of gene and protein expression, genetic, and epigenetic changes in thousands of individual cells in a single experiment
Read More »Evolving Technologies of RNA Sequencing and Their Applications in Precision Oncology
RNA sequencing (RNAseq) provides a more complete genetic picture than DNA sequencing. It is one of the most frequently and widely used tools in Omic...
Read More »Elucidating the cellular dynamics of the brain with single-cell RNA sequencing
Single-cell RNA-sequencing (scRNA-seq) has emerged in recent years as a breakthrough technology to understand RNA metabolism at...
Read More »Using single-cell RNA sequencing to disentangle the blood system
The blood system is often represented as a tree-like structure with stem cells that give rise to mature blood cell types through a series of demarcated steps. Although this representation has served as a model of hierarchical tissue organization for ...
Read More »Currently available platforms and methodological approaches for the sequencing of SARS-CoV-2 genomes
Various next generation sequencing (NGS) based strategies have been successfully used in the recent past for tracing origins and understanding the evolution of infectious agents, investigating the spread and...
Read More »Single-cell genomics and spatial transcriptomics applied to liver disease biology
Transcriptome analysis enables the study of gene expression in human tissues and is a valuable tool to characterise liver function and gene expression...
Read More »From whole-mount to single-cell spatial assessment of gene expression in 3D
Unravelling spatio-temporal patterns of gene expression is crucial to understanding core biological principles from embryogenesis to disease. Monash University researchers review emerging technologies, providing automated, high-throughput, spatially...
Read More »Single-cell sequencing techniques from individual to multiomics analyses
University of Tokyo researchers review single-cell sequencing techniques for individual and multiomics profiling in single cells. They mainly describe single-cell genomic, epigenomic, and transcriptomic methods, and examples of their applications. For the integration of multilayered data sets, such as the ...
Read More »A review of Cloud computing technologies for comprehensive microRNA analyses
Cloud computing revolutionized many fields that require ample computational power. Cloud platforms may also provide huge support for microRNA analysis mainly through disclosing scalable resources of different types. In Clouds, these resources are...
Read More »The application of single-cell RNA sequencing in vaccinology
Single-cell RNA sequencing allows highly detailed profiling of cellular immune responses from limited-volume samples, advancing prospects of a new era of systems immunology. The power of single-cell...
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