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.
Co-first author Jiyuan Yang, PhD, St. Jude Department of Computational Biology and co-senior and corresponding author Jiyang Yu, PhD, St. Jude Department of Computational Biology interim chair look at ...
Spatial transcriptomics is a cutting-edge technique that characterizes gene expression within sections of tissue, such as heart, skin or liver tissue. These snapshots provide insights into how 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 ...
Morning Overview on MSN
New spatial transcriptomics maps gene activity across whole bodies
A wave of spatial transcriptomics studies has produced gene-expression atlases that span entire organs and whole organisms, ...
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 ...
Larotrectinib in Patients With Tumors With NTRK Fusions: Results From the NCI-MATCH ECOG-ACRIN Trial (EAY131) Subprotocol EAY131-Z1E Advancements in profiling technologies have deepened our ...
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 ...
Jasmine Plummer shares the spatial omics techniques she has developed to investigate the cellular processes underlying ...
Tumors contain many different types of cells organized in complex spatial patterns that can influence how the disease progresses. Because of this, it is hard to predict how a tumor will develop and ...
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