Single cell gene expression studies often rely on single-cell RNA sequencing (scRNA-seq) alone. While scRNA-seq reveals which genes are turned on, it does not capture protein expression or changes to ...

The origin of many diseases begins at the cellular level and involves multiple molecular interactions. However, previous methods have struggled to accurately observe changes in individual cells.

Single-cell genomics and gene expression analysis have redefined our understanding of cellular complexity by enabling the dissection of gene activity at an individual cell level. This field leverages ...

Breast cancer remains one of the most prevalent and life-threatening forms of cancer, impacting millions worldwide. This malignancy's heterogeneity and complexity have long posed significant ...

Single-cell sequencing is useful for a number of applications. For example, it can reveal cellular heterogeneity inside complex tissues, such as tumors. It can also provide information about how ...

Moonyoung Kang and Hai Anh Vu examine a microwell plate containing individual cells. These cells are used for simultaneous single-cell RNA sequencing and mass spectrometry analysis. A research team at ...

A comprehensive review article titled “Bioinformatics perspectives on transcriptomics: A comprehensive review of bulk and single-cell RNA sequencing analyses,” published in Quantitative Biology, ...

How does a single cell reliably build one of the most complex structures known in nature? New research suggests the answer ...

Integrating scRNA-seq with other omics approaches for a comprehensive understanding of plant biology We encourage both original research articles and comprehensive reviews that contribute to this ...

Researchers profiled nearly 7 million individual cells from mice, identifying which cells are most vulnerable to aging and ...