Human Kidney at Single Cell Resolution

Single-cell RNA sequencing of the adult human kidney transcriptome can provide molecular information about cell-specific responses to environmental variables and disease states. This information can provide a dataset to benchmark human kidney organoids. Discover the latest research on adult kidney organoids at single cell resolution here.

The open source software R / Bioconductor is used for statistical analysis and visualization, with continual generation of new analysis packages and updates. Find the latest research on Programming: Bioconductor Software Packages here.

Constructing a cell atlas of the human eye will require transcriptomic and histologic analysis over the lifespan. This understanding will aid in the study of development and disease. Find the latest research pertaining to the Cell Atlas of the Human Eye here.

Examining the genomics, transcriptomics, proteomics, and metabolomics of the human thymus gland at the single cell level will help build a single cell atlas of this gland, which would give a unique ID card for each cell type, a three-dimensional map of how cell types work together to form tissues, and insights into how changes in the map underlie health and disease of the thymus gland during development and aging. Discover the latest research on the cell atlas of the human thymus here.

Investigating human cellular proteins through a combination of highly multiplexed imaging and proteomic analyses can help characterize all human cells at the proteomic level. Discover the latest research on deep visual proteomics here.

Adipose tissue is composed of different cell types including adipocytes and stromal cells. The complex intercellular communication is crucial for growth and survival. Characterization of the transcriptome of adipose tissue will help understand this complex network and the development of disease. Discover the latest research on human adipose tissue communication here.

Examining the genomics, transcriptomics, proteomics, and metabolomics of the human adipose tissues at the single cell level will help build a single cell atlas of these tissues, which would give a unique ID card for each cell type, a three-dimensional map of how cell types work together to form tissues, and insights into how changes in the map underlie health and disease states in which adipose tissues are involved. Disocver the latest research on the human adipose tissue heterogeneity here.

Single-cell analyses provide a better-resolved picture of complex biological processes and unmask heterogeneity found between cells. Here is the latest research employing single-cell transcriptomics and examining DNA methylomes in brain cells.

Examining the genomics, transcriptomics, proteomics, and metabolomics of the gut-brain axis at the single cell level will help build a single cell atlas of this axis, which would give a unique ID card for each cell type, a three-dimensional map of how cell types work together to form tissues, and insights into how changes in the map underlie health and disease of the GI system. Disocver the latest research on the human cell atlas of the gut-brain axis here.

Examining genomics, transcriptomics, proteomics and metabolomics of the female reproductive system at the single cell level will help build a three-dimensional cellular map and insights into the health and disease of the female reproductive system. Discover the latest research on the human cell atlas of the female reproductive system here.