PHOTON – subcellular level spatial transcriptomics
RNA localization—its specific position within subcellular structures like the nucleus, mitochondria, or stress granules—is closely…
Browsing: Spatial Transcriptomics
Oncogene aberrations drive medulloblastoma progression, not initiation
Medulloblastoma, a cancer that primarily affects children, is the most common malignant brain tumor in…
Insights into the spatial organization and tumor microenvironment of primary testicular diffuse large B-cell lymphomas
New study reveals E2F and CREB as a novel therapeutic option for testicular DLBCL patients…
Single-nucleus RNA sequencing reveals a preclinical model for the most common subtype of glioblastoma
Glioblastoma (GBM) is one of the most aggressive and difficult-to-treat brain cancers. Scientists have learned…
CHOIR improves significance-based detection of cell types and states from single-cell data
Single-cell technologies, like single-cell RNA sequencing (scRNA-seq), have become essential for exploring the complexity of…
New machine learning tool enhances cancer detection in single-cell RNA sequencing
Cancer is a complex disease, and even within a single tumor, not all cells are…
scPAS – single-cell phenotype-associated subpopulation identifier
Recent advancements in single-cell sequencing have allowed scientists to explore the complexity of tissues by…
Aventa FusionPlus test that detects gene fusions, translocations, and rearrangements receives favorable pricing determination from CMS
Aventa™ Genomics, LLC, a clinical laboratory deploying 3D genomics to improve patient outcomes, and a…
MGI Tech Partners with Human Cell Atlas to expand single cell RNA sequencing and spatial transcriptomics access
MGI Tech, a company committed to building core tools and technologies that drive innovation in…
Seq-Scope – repurposing Illumina sequencing flow cells for high-resolution spatial transcriptomics
Spatial transcriptomics (ST) is reshaping how scientists study gene expression in tissues. Traditional methods like…