Advances in the Development of Multimodal Single-Cell Multi-Omics Technologies

Dear Colleagues,

Single-cell multi-omics technology overcomes the limitations of traditional bulk sequencing. It enables simultaneous profiling of multiple molecular layers within an individual cell, capturing high-resolution molecular landscapes that cannot be detected by single-omics approaches alone. Multimodal single-cell multi-omics integrates genomics, transcriptomics, proteomics, and other molecular profiles at the single-cell level, unveiling intricate regulatory networks linking genotype to phenotype across distinct cell subsets. These cutting-edge tools lay a solid foundation for dissecting complex biological systems, decoding heterogeneous cellular states, and unraveling the underlying mechanisms of physiological and pathological processes.

This Special Issue focuses on state-of-the-art innovations and translational applications of integrated single-cell multi-omics approaches, including, but not limited to, the development and application of multi-omics methodologies such as sequencing, single-cell sequencing, genomics, transcriptomics, and proteomics; characterization of the tumor microenvironment, biomarker development, and their applications in clinical diagnosis and treatment; the use of single-cell multi-omics technologies in drug development and drug repurposing; and the application of AI for science in clinical research.

Dr. Jian He
Guest Editor

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