The expression of the protein coding gene CXCR6 was observed to be significantly lower in patients with severe cases of COVID-19, suggesting a genetic correlation in severe cases.

In this Commentary article, we explore the opportunity afforded by Sparsely Connected Autoencoders to transform data in a controlled way to enable the comprehension of hidden biological information in single-cell data. Autoencoders provide researchers with a simplified means of inspecting functional relationships among regulatory elements as transcription factors.

This Discussion Group Report investigates some of the various applications of single cell analysis, and explores the differences in its utility relative to other analysis techniques such as spatial transcriptomics.

Our April 2022 Omics Series discussion group focused on the potential and future of single-cell proteomics.

Single-cell proteomics has developed quickly, despite being a relatively new field. NanoPOTS and FACS are being used to improve proteome coverage and minimise sample size.

The emergence of single-cell sequencing has opened a new field in analytical biological approaches particularly allowing to uncover cell-to-cell heterogeneity of 3D cellular models and preventing incomplete conclusions drawn from bulk cell populations

Due to the heterogeneity seen in both eukaryotic and prokaryotic cell populations, single cell analysis opens up many new possibilities.