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 ...

This figure shows how the STAIG framework can successfully identify spatial domains by integrating image processing and contrastive learning to analyze spatial transcriptomics data effectively.

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 ...

Breast cancer remains one of the most prevalent and life-threatening forms of cancer, impacting millions worldwide. This malignancy's heterogeneity and complexity have long posed significant ...

Illumina, Inc. (NASDAQ: ILMN) today announced new customer breakthroughs in oncology powered by Illumina's spatial transcriptomics, 5-base sequencing, and proteomics technologies. The ability to ...

Neoadjuvant immunotherapy in combination with chemotherapy in resectable locally advanced head and neck squamous cell carcinoma: A randomized, open label, phase II clinical trial. This is an ASCO ...

Knowing the location of a gene within intact tissue or a single cell allows scientists to unlock unknown cellular functions. This information is often lost in most genetic sequencing techniques, but ...

A recent integrative analysis of single-cell sequencing and single-cell spatial mapping of lymph node metastasis in breast ...

Single-cell RNA transcriptomics allows researchers to broadly profile the gene expression of individual cells in a particular tissue. This technique has allowed researchers to identify new subsets of ...

A recent integrative analysis of single-cell sequencing and single-cell spatial mapping of lymph node metastasis in breast cancer reveals novel mechanisms of the metabolic-immune interaction that ...

Explore how clinical multi-omics integration drives systems medicine, detailing data fusion methodologies and lab ...