Data Sets

Transcriptional heterogeneity among malignant cells of a tumor has been studied in individual cancer types and shown to be organized into cancer cell states; however, it remains unclear to what extent these states span tumor types, constituting general features of ...

Single-cell RNA-seq (scRNA-seq) is a powerful genomics technology to interrogate the cellular composition and behaviors of complex systems. While the number of scRNA-seq datasets and available computational analysis tools have grown...

Alzheimer’s disease wreaks unmistakable havoc in the brain. If you compare the brain of someone who has died from neurodegenerative disease to that of...

Accurate and comprehensive annotation of transcript sequences is essential for transcript quantification and differential gene and transcript expression analysis. Single-molecule long-read sequencing technologies provide improved integrity of transcript structures...

A recent publication from researchers at the University of Kentucky explains the importance of identifying and understanding how differences...

While neurons and glial cells are by far the most numerous cells in the brain, many other types of cells play important roles. Among those are cerebrovascular cells, which form the blood vessels that deliver oxygen...

Diabetic kidney disease (DKD) occurs in ∼40% of patients with diabetes and causes kidney failure, cardiovascular disease, and premature death...

MIT Professor Jonathan Weissman and colleagues have gone beyond the sequence to present the first comprehensive functional map of genes that are expressed in human cells. The data from this project...

In a series of studies published in Cell Press journals, STOC members used the spatially resolved transcriptomics technology Stereo-seq, developed by BGI-Research, to produce spatiotemporal cellular...

UCLA scientists and colleagues have created a first-of-its-kind roadmap that traces each step in the development of blood stem cells in the human embryo, providing scientists with a blueprint for producing...