Scientists transform enigmatic cell structures into devices for recording RNA activity

Scientists can peer into cells to get a limited view of their activity using microscopes and other tools. However, cells and ...
Frontiers

Integrating single-cell RNA sequencing with spatial transcriptomics reveal the fibrosis-related genes in hepatocellular carcinoma

The final, formatted version of the article will be published soon. Abstract Background: Hepatocellular carcinoma (HCC) remains a leading cause of cancer-related mortality, with limited efficacy of ...
MobiHealthNews

CareDx, 10x Genomics partner to decode transplant rejection at cellular resolution

The partners are launching ImmuneScape, a multiomics program using spatial and single-cell sequencing to study immune drivers ...
IEEE

STINR: Deciphering Spatial Transcriptomics via Implicit Neural Representation

Abstract: Spatial transcriptomics (ST) are emerging technologies that reveal spatial distributions of gene expressions within tissues, serving as important ways to uncover biological insights. However ...
Science Daily

This new imaging technology breaks the rules of optics

Scientists have unveiled a new way to capture ultra-sharp optical images without lenses or painstaking alignment. The ...
IEEE

Revolutionizing Drug Discovery: Integrating Spatial Transcriptomics with Advanced Computer Vision Techniques

Abstract: Spatial transcriptomics has emerged as a transformative technology for mapping gene expression within tissue contexts, offering unprecedented insights into disease mechanisms. However, ...
GitHub

A variational spatiotemporal Gaussian process framework designed to integrate multi-modal, multi-slice spatial transcriptomics (ST) data for coherent 3D tissue reconstruction.

The stVGP package is developed based on the Python libraries Scanpy, PyTorch and PyG (PyTorch Geometric) framework, and can be run on GPU (recommend) or CPU. Before installing stVGP, please ensure ...
EurekAlert!

PRTS: predicting single-cell spatial transcriptomics from histological images

Spatial transcriptomics (ST) technologies reveal the spatial organization of gene expression in tissues, providing critical insights into development, neurobiology, and cancer. However, the high cost ...