Atrandi Biosciences, a life sciences tools company advancing single-cell analysis, today announced it will present new scientific data and platform innovations at the Society for Laboratory Automation ...

A large-scale population metagenomic study has shed new light on the spatial heterogeneity of viral communities across the ...

A new technique brings CRISPR-mediated gene editing together with spatial transcriptomics and imaging to study the ...

Industry leaders outline how advances in MS, affinity platforms, sample preparation, AI-driven analysis, and data standardization are transforming proteomics. These innovations are enabling deeper and ...

Advancements in spatial proteomics enable detailed tissue mapping, linking protein localization to disease mechanisms and ...

This is an important work implementing data mining methods on IMC data to discover spatial protein patterns related to the triple-negative breast cancer patients' chemotherapy response. The evidence ...

Immune Checkpoint Blockade (ICB) has reshaped cancer care and can deliver durable remission in malignancies such as melanoma and non-small cell lung cancer.

The preprint is available here. DeepSpot2Cell predicts virtual single-cell spatial transcriptomics as follows: (1) During training, the model takes as input (i) the cropped cell tile defined by the ...

Background: Hepatocellular carcinoma (HCC) remains a leading cause of cancer-related mortality, with limited efficacy of current therapies in advanced cases. As a key risk factor for HCC, liver ...

The development of glmSMA represents a valuable advancement in spatial transcriptomics analysis, offering a mathematically robust regression-based approach that achieves higher-resolution mapping of ...

Abstract: Deciphering cell-type composition is critical for charting single-cell spatial maps and cellular atlases of organisms. Most Spatial Transcriptomics (ST) data lack single-cell resolution, ...