About this Research Topic
The use of large-scale high-throughput transcriptome profiling approaches has been widely adopted by the immunology community. This is paralleled by an expansion of experimental and bioinformatics tools and techniques developed to address the challenges in multi-omics data generation, analysis, and interpretation. Together, the field is performing high-resolution mapping of immune cell identity heterogeneity, cell fates, and phenotypic changes.
The goal of this research topic is to showcase the recent advances in the analysis of multi-omics data and their applications in immunology. Specifically, we aim to cover developments in techniques that leverage on single-cell multi-omics integration of proteomics, epigenetics and V(D)J repertoire data with transcriptome data. We would also like to welcome studies that improve on current abilities to perform single-cell high-throughput profiling in stimulation/perturbation experiments of immune cells from complex tissues. Thus, we invite scientists from different areas of immunological research to share their latest ideas and research relevant to this topic.
We welcome the submission of Original Research, Systematic Review, and Review articles on the following topics:
- Multi-modal integration of bulk and single-cell omics data
- Immune cell-cell interaction landscape in health and disease
- Spatial transcriptomics mapping of immune cells in tissues
- T/B cell receptor repertoire data analysis and integration
- Experimental perturbation and profiling of immune cells from primary tissues.
- Systems characterization of immune cellular and molecular landscape in health, disease, and clinical intervention
We acknowledge the initiation and support of this Research Topic by the International Union of Immunological Societies (IUIS). We hereby state publicly that the IUIS has had no editorial input in articles included in this Research Topic, thus ensuring that all aspects of this Research Topic are evaluated objectively, unbiased by any specific policy or opinion of the IUIS.
Topic Editor Dr. Tuong has received consulting fees from Synteny Biotechnology Ltd. The other Topic Editors declare no conflict of interest.
The goal of this research topic is to showcase the recent advances in the analysis of multi-omics data and their applications in immunology. Specifically, we aim to cover developments in techniques that leverage on single-cell multi-omics integration of proteomics, epigenetics and V(D)J repertoire data with transcriptome data. We would also like to welcome studies that improve on current abilities to perform single-cell high-throughput profiling in stimulation/perturbation experiments of immune cells from complex tissues. Thus, we invite scientists from different areas of immunological research to share their latest ideas and research relevant to this topic.
We welcome the submission of Original Research, Systematic Review, and Review articles on the following topics:
- Multi-modal integration of bulk and single-cell omics data
- Immune cell-cell interaction landscape in health and disease
- Spatial transcriptomics mapping of immune cells in tissues
- T/B cell receptor repertoire data analysis and integration
- Experimental perturbation and profiling of immune cells from primary tissues.
- Systems characterization of immune cellular and molecular landscape in health, disease, and clinical intervention
We acknowledge the initiation and support of this Research Topic by the International Union of Immunological Societies (IUIS). We hereby state publicly that the IUIS has had no editorial input in articles included in this Research Topic, thus ensuring that all aspects of this Research Topic are evaluated objectively, unbiased by any specific policy or opinion of the IUIS.
Topic Editor Dr. Tuong has received consulting fees from Synteny Biotechnology Ltd. The other Topic Editors declare no conflict of interest.
Keywords: Omics, repertoire, immunology, integration, heterogeneity, single cell, spatial, computational analysis
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