The study is useful for advancing spatial transcriptomics through its novel regression-based linear model (glmSMA) that integrates single-cell RNA-seq with spatial reference atlases, though its ...

Up to now, researchers conducting spatial transcriptomics have had to choose between two options based on their needs: genome-wide coverage or single-cell resolution. To solve this tradeoff ...

Top-down proteomics: Intact proteins are ionized and analyzed directly, allowing for the study of proteoforms and ...

The field of spatial transcriptomics utilizes technologies that map gene ... HD Spatial Gene Expression™, which “provides whole-transcriptome insights at single-cell scale resolution”. Over the last ...

Up to now, researchers conducting spatial transcriptomics have had to choose between two options based on their needs: genome-wide coverage or single-cell resolution. To solve this tradeoff ...

These techniques have varied coverage depth and throughput. 3 Before the advent of spatial transcriptomics, single-cell RNA sequencing methods largely required that scientists break tissue apart into ...

We offer a range of services, including single cell RNA sequencing and spatial transcriptomics. Our facility is equipped with state-of-art instruments, including the 10X Genomics Chromium X which ...

In this webinar, Dr. Luciane Kagohara from Johns Hopkins Medicine will discuss a novel artificial intelligence method integrating imaging, spatial transcriptomics and single-cell RNA-seq data that has ...