Ambitious study will profile thousands of tumor samples to uncover novel biomarkers and therapeutic targets for cancer and ...

Uncovering gene expression patterns, spatial transcriptomics bridges molecular analysis and tissue morphology, advancing research in various biological fields.

Researchers explore glioblastoma's genetic complexity using innovative spatial profiling, aiming to enhance treatment ...

The authors proposed two hypotheses: first, that methamphetamine induces neuroinflammation, and second, that it alters neuronal stem cell differentiation. These are valuable hypotheses, and the ...

A new study reveals that neurons in the brain’s memory center, the hippocampus, continue to form well into late adulthood. A recent study published in Science offers strong new evidence that the human ...

Researchers have mapped human fat tissue at single-cell resolution, uncovering how obesity alters cellular stress, ...

Single-cell RNA-seq (scRNA-seq) has spent the past decade maturing into a foundational technology. Over that time, the ...

The Global Multi-omics Market comprising primarily Genomics, Transcriptomics, Proteomics, & Metabonomics is set to witness a ...

A new study finds rare neural stem cells in the adult human hippocampus, suggesting some brains can generate new neurons into ...

Single-cell RNA sequencing remains prohibitively expensive, especially for those without access to the funding, specialized equipment or computational infrastructure it typically requires.

Conventional transcriptomic techniques have revealed much about gene expression at the population and single-cell level—but they overlook one crucial factor: spatial context.

Singapore scientists release one of the world’s largest open-access long-read RNA sequencing datasets, paving the way for global advances in disease research and precision medicine.