Project description:We profiled hematopoietic, lymphoid and peripheral fetal organs to systematically assess the heterogeneity of immune cell populations across human tissues during development. Single-cell suspensions were obtained from fresh tissue. Cells were either DAPI-CD45+ or DAPI-CD45- FACS-isolated cells, or unsorted.
Project description:We profiled hematopoietic, lymphoid and peripheral fetal organs to systematically assess the heterogeneity of antigen receptors in immune cell populations across human tissues during development. Single-cell suspensions were obtained from fresh tissue. Cells were either DAPI-CD45+ or DAPI-CD45- FACS-isolated cells, or unsorted.
Project description:Single-cell genomics studies have decoded the immune cell composition of several human prenatal organs but were limited in describing the developing immune system as a distributed network across tissues. We profiled nine prenatal tissues combining single-cell RNA sequencing, antigen-receptor sequencing, and spatial transcriptomics to reconstruct the developing human immune system. This revealed the late acquisition of immune-effector functions by myeloid and lymphoid cell subsets and the maturation of monocytes and T cells before peripheral tissue seeding. Moreover, we uncovered system-wide blood and immune cell development beyond primary hematopoietic organs, characterized human prenatal B1 cells, and shed light on the origin of unconventional T cells. Our atlas provides both valuable data resources and biological insights that will facilitate cell engineering, regenerative medicine, and disease understanding.
Project description:We profiled hematopoietic, lymphoid and peripheral fetal organs to systematically assess the heterogeneity of immune cell populations across human tissues during development. Single-cell suspensions were obtained from fresh tissue. Cells were either DAPI-CD45+ or DAPI-CD45- FACS-isolated cells, or unsorted. This submission augments E-MTAB-11343.
Project description:Primary outcome(s): this study collects data with the aim of developing a mapping algorithm for converting QOL scores obtained from profiled QOL scales into QOL values.