While each method has its pros and cons, a joint study found that LC-MS provides a clearer, more comprehensive picture of the ...

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 ...

This review, led by a team of prominent researchers from Zhejiang University (Guoji Guo, Hongshan Guo, Yijun Ruan, Yongcheng Wang), Peking University (Zemin Zhang, Dong Xing), and BGI Research (Xun Xu ...

A computational method called scSurv, developed by researchers at Institute of Science Tokyo, links individual cells to ...

Researchers from several Parisian institutions have worked together to develop a non-destructive approach to study how ...

Single-cell RNA-seq (scRNA-seq) has spent the past decade maturing into a foundational technology. Over that time, the technology has both laid the foundation for building cell atlases and allowed ...

Channel-Free Single-Cell Sorting in Air with Tunable Paths. Schematic illustration of the in-air microfluidic single-cell sorting platform. Cell suspensions are encapsulated into droplets and ejected ...

In cell therapy applications, commonly employed cell purification platforms for large-scale isolation of immune or stem cells separate cells based on a single cell surface antigen. Enrichment based on ...

Researchers from King's College London and the University of Surrey have developed a new technique to measure the content of ...

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 ...