Spatial transcriptomics and gene expression analysis represent a transformative approach in biomedical research, integrating the spatial context of tissues with high-resolution profiling of gene ...

Using a ChatGPT-like AI model, scientists have created a new map of the mouse brain that captures previously uncharted areas ...

Sponsored content brought to you by Biological systems are inherently three-dimensional—tissues form intricate layers, networks, and architectures where cells interact in ways that extend far beyond a ...

Multi-omics integration enhances understanding of biological systems, revealing complex interactions through spatial ...

Biological tissues are made up of different cell types arranged in specific patterns, which are essential to their proper functioning. Understanding these spatial arrangements is important when ...

Scientists at Northwestern University have developed the largest open-access resource of its kind to help researchers shave off months of early-stage drug development time by allowing them to better ...

This article explores how to generate high-quality transcriptomics data by optimizing each step, from experimental design and RNA extraction to library preparation sequencing and data analysis, to ...

The world of cells is surprisingly noisy. Each cell carries unique genetic information, but when we try to measure cellular activity, signals can be lost or blurred, and differences between ...

Spatial transcriptomics analysis to predict response to immune checkpoint blockade (ICB) in recurrent or metastatic head and neck squamous cell cancer (RM-HNSCC). ctDNA tumor fraction (TF) to predict ...

In a recent paper published on aBIOTECH, the authors integrated epigenomic, transcriptomic, and 3D genomic data to ...