The immune system has evolved a complex adaptive distribution of cells characterized by a heterogeneous and highly diverse repertoire of T and B cells that form the highest form of protection from pathogens as well as determine the control and tolerance of harmless antigens. Recently a plethora of new cell types and distinct functions have been discovered in innate responses using single cell technologies, for instance, intestinal leukocytes. Genomic profiling of these cells is important to understand their roles, specificities and functions in scenarios of both health and disease. Single cell technologies offer a unique opportunity to finally unravel the complex genetic and functional profiles of immune cells.
In recent years, single cell analyses have been applied to study immune repertoires, hematopoietic lineage evolution, and for identifying new cellular and functional types. Immunotherapies involving checkpoint blockade, as well as adoptive cell transfer have also taking advantage from the unprecedented flow of information arising from these technologies. Flow cytometry and microfluidics technologies are enabling researchers to screen very large numbers of immune cells and to identify rare subsets. The bioinformatics and computational analyses of these large data sets are increasingly becoming the limiting factors. Therefore novel research at the single cell level is likely to develop a cross-disciplinary framework.
Single cell analysis of immune cells is a topic of broad interest across immunology, molecular biology, microbiology, as well as computational biology and bioinformatics. This Research Topic aims to create a bridge between scientists across multiple disciplines with the common interest of using single cell analyses to (i) identify novel roles and functions of immune cells; (ii) to further our understanding of immune cell biology; (iii) to enable the discovery of new immune cell types and (iv) to highlight the use of computational methods in immunology. We welcome the submission of both Original Research and Review articles on single cell technologies applied to study the immune cell repertoire of the adaptive and innate compartments. Computational and bioinformatics Original Research articles are also welcome.
The potential topics of interest include, but are not limited to: Single cell transcriptomics methods for studying immune cells in blood and tissues; Genomic and epigenetic analyses of immune cells in health and diseases; Single cell flow cytometry; Lineage and clonal tracing and High-throughput sequencing methods.
The immune system has evolved a complex adaptive distribution of cells characterized by a heterogeneous and highly diverse repertoire of T and B cells that form the highest form of protection from pathogens as well as determine the control and tolerance of harmless antigens. Recently a plethora of new cell types and distinct functions have been discovered in innate responses using single cell technologies, for instance, intestinal leukocytes. Genomic profiling of these cells is important to understand their roles, specificities and functions in scenarios of both health and disease. Single cell technologies offer a unique opportunity to finally unravel the complex genetic and functional profiles of immune cells.
In recent years, single cell analyses have been applied to study immune repertoires, hematopoietic lineage evolution, and for identifying new cellular and functional types. Immunotherapies involving checkpoint blockade, as well as adoptive cell transfer have also taking advantage from the unprecedented flow of information arising from these technologies. Flow cytometry and microfluidics technologies are enabling researchers to screen very large numbers of immune cells and to identify rare subsets. The bioinformatics and computational analyses of these large data sets are increasingly becoming the limiting factors. Therefore novel research at the single cell level is likely to develop a cross-disciplinary framework.
Single cell analysis of immune cells is a topic of broad interest across immunology, molecular biology, microbiology, as well as computational biology and bioinformatics. This Research Topic aims to create a bridge between scientists across multiple disciplines with the common interest of using single cell analyses to (i) identify novel roles and functions of immune cells; (ii) to further our understanding of immune cell biology; (iii) to enable the discovery of new immune cell types and (iv) to highlight the use of computational methods in immunology. We welcome the submission of both Original Research and Review articles on single cell technologies applied to study the immune cell repertoire of the adaptive and innate compartments. Computational and bioinformatics Original Research articles are also welcome.
The potential topics of interest include, but are not limited to: Single cell transcriptomics methods for studying immune cells in blood and tissues; Genomic and epigenetic analyses of immune cells in health and diseases; Single cell flow cytometry; Lineage and clonal tracing and High-throughput sequencing methods.
