Scientists identify the neuroblastoma cells that signal poor outcomes
Single-cell RNA sequencing and spatial omics reveal distinct neuroblastoma cell populations, identifying gene expression markers associated with treatment resistance and poor outcomes in pediatric cancer...
GARAGE improves rare cell detection in single-cell RNA sequencing analysis using AI
GARAGE uses artificial intelligence to generate realistic single-cell RNA sequencing data, improving rare cell representation, gene selection and cell clustering in complex biological datasets...
Machine learning reveals how RNA splicing is regulated in individual cell types
Researchers developed CASREL, a machine learning framework that uses single-cell RNA sequencing to identify potential regulators of alternative splicing across different tissues and cell types...
GP-DHT uses single-cell RNA sequencing to map gene regulatory networks
Genes rarely act alone. Instead, cells rely on networks of genes that turn one another on or off, helping determine how cells develop, respond to signals and change during disease. Researchers at the Jingdezhen Ceramic University developed GP-DHT, a ...
CellART extracts single-cell information from high-resolution spatial transcriptomics
Spatial transcriptomics allows researchers to measure gene activity while preserving information about where that activity occurs inside tissue. Newer technologies can reach very high spatial resolution, but they often face an important limitation, either they detect relatively few RNA ...
Cell2space restores spatial context to single-cell RNA sequencing data
Single-cell RNA sequencing can reveal which genes are active in individual cells, but the process of separating cells from tissue removes information about where those cells originally lived. That spatial information matters because cells behave differently depending on their ...
Tracing 700 million years of cell evolution
A new AI tool helps identify hidden similarities across distant species. Why do traditional genetic tools struggle to compare distant species? Scientists often compare cells using single-cell RNA sequencing, which shows which genes are active in each cell. When ...
RNA-Seq reveals a new way the developing heart controls its growth
Findings may ultimately have implications for heart repair after a heart attack Northwestern Medicine scientists have uncovered an unexpected part of the answer: lymphatic vessels, long known for transporting fluid and immune cells, also send signals to different cardiac ...
scFlowReport brings multiple single-cell RNA sequencing analyses into one workflow
Single-cell RNA sequencing allows researchers to measure gene activity in individual cells, making it possible to study how different cell types respond to disease, treatment or genetic changes. But generating the sequencing data is only the beginning. Researchers often ...
DeOPUS improves cell-type estimates from bulk RNA sequencing
Single-cell RNA sequencing allows researchers to examine gene activity in individual cells, making it possible to study the many different cell types within a tissue. However, single-cell experiments can be expensive and technically demanding, especially when large numbers of ...
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