Single-cell sequencing has demonstrated its promise to answer new biomedical questions and discover new knowledge. Within each single cell, this technology shows cellular dynamics as well as spatial and temporal variability. It is currently being used in precision therapy to predict prognosis, track therapeutic reactions or recurrences, and decipher oncogenetics. Single-cell-based experimental and analytical strategies has become increasingly important, with new applications emerging in a diverse range of subjects, conditions, and disease models.
The goal of this Research Topic is to present the progress of single-cell omics-based research, as well as its basic and clinical applications in precision medicine. We welcome submissions on novel experimental approaches, advanced tools and databases, and their applications in health and disease involving single-cell sequencing.
We welcome submissions of original research papers, reviews, and methods, including, but not limited to, research on the following sub-themes:
• Novel methods for single-cell-based experiments or data analysis.
• Developing advanced bioinformatics tools for single-cell omics
• Applications of single-cell omics in precision medicine
Disclaimer: The findings based on data integration should be also validated by observational/experimental data. Descriptive studies will not be considered for review unless they are extended to provide meaningful insights into gene/protein function and/or the biology of the subject described. Brief Research Reports, Data Reports, Genome Announcements will not undergo the peer-review process. Studies that fall into the following categories will also not be considered for review:
-1.Comparative transcriptomic analyses that report only a collection of differentially expressed genes, some of which have been validated by qPCR under different conditions or treatments;
-2.Descriptive studies that merely define gene families using basic phylogenetics and assign cursory functional attributions (e.g. expression profiles, hormone or metabolites levels, promoter analysis, informatic parameters).
-3.Descriptive studies that only report sequencing data.
Keywords: Single cell sequencing, Multi-omics, Precision medicine, Bioinformatics
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
Single-cell sequencing has demonstrated its promise to answer new biomedical questions and discover new knowledge. Within each single cell, this technology shows cellular dynamics as well as spatial and temporal variability. It is currently being used in precision therapy to predict prognosis, track therapeutic reactions or recurrences, and decipher oncogenetics. Single-cell-based experimental and analytical strategies has become increasingly important, with new applications emerging in a diverse range of subjects, conditions, and disease models.
The goal of this Research Topic is to present the progress of single-cell omics-based research, as well as its basic and clinical applications in precision medicine. We welcome submissions on novel experimental approaches, advanced tools and databases, and their applications in health and disease involving single-cell sequencing.
We welcome submissions of original research papers, reviews, and methods, including, but not limited to, research on the following sub-themes:
• Novel methods for single-cell-based experiments or data analysis.
• Developing advanced bioinformatics tools for single-cell omics
• Applications of single-cell omics in precision medicine
Disclaimer: The findings based on data integration should be also validated by observational/experimental data. Descriptive studies will not be considered for review unless they are extended to provide meaningful insights into gene/protein function and/or the biology of the subject described. Brief Research Reports, Data Reports, Genome Announcements will not undergo the peer-review process. Studies that fall into the following categories will also not be considered for review:
-1.Comparative transcriptomic analyses that report only a collection of differentially expressed genes, some of which have been validated by qPCR under different conditions or treatments;
-2.Descriptive studies that merely define gene families using basic phylogenetics and assign cursory functional attributions (e.g. expression profiles, hormone or metabolites levels, promoter analysis, informatic parameters).
-3.Descriptive studies that only report sequencing data.
Keywords: Single cell sequencing, Multi-omics, Precision medicine, Bioinformatics
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.