Single Cell Omics: Recent Advances and Application in Cellular Pathology

Dear Colleagues,

Recent advances in next-generation sequencing technologies have led to an explosion in multi-omics datasets (e.g., genomics, transcriptomics, epigenomics, metabolomics, proteomics, microbiomics, etc.), which has been accompanied by the development of novel computational genomics tools to analyze these data and perform integrative analysis. Together, these approaches have rapidly expanded the number of discoveries for complex cell and tissue development, and diseases such as cardiovascular development and disease, neurological development and diseases, cancer, immune interactions and diseases, etc.

Advances in single-cell approaches are now enabling us to study differences between cell types and subpopulations, at the level of the genome, transcriptome, epigenome, proteomics, etc. Single-cell technologies are being used to study diverse areas of biology and disease, such as cardiovascular and neurological development, microbial population composition, and cancer evolution.

In this Special Issue, we hope to bring together experts in multi-omics from multi-disciplinary backgrounds, including experimental methodology, computational data analysis, and biomedical applications to share their collective expertise in a broad range of topics related to single-cell omics data integration for various complex diseases. The Cells journal highlights the emergence of this field with a Special Issue focused on single-cell methods, data analysis, and their applications. We welcome multiple manuscript formats, including original research articles, reviews or mini-reviews, opinions, hypotheses, or reports.

Dr. Huaxiao Adam Yang
Dr. Mingtao Zhao
Dr. Qiwei Li
Dr. Lin Xu
Guest Editors

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