GitHub

Comprehensive mapping of tissue cell architecture via integrated single cell and spatial transcriptomics (cell2location model)

If you use cell2location please cite our paper: Kleshchevnikov, V., Shmatko, A., Dann, E. et al. Cell2location maps fine-grained cell types in spatial transcriptomics ...
GitHub

Integrative and Reference-Informed Spatial Domain Detection for Spatial Transcriptomics

We developed a statistical method for Integrative and Reference-Informed Spatial Domain Detection for Spatial Transcriptomics. IRIS is a reference-informed integrative method for detecting spatial ...
Frontiers

From Genomes to Neurons: ‘Omics Resources and Discovery in Non-Traditional Models

You will be redirected to our submission process. The explosion of high-throughput sequencing technologies has democratized genomic research, enabling investigators to generate comprehensive ‘omics ...
ahajournals.org

Harnessing Single-Cell RNA Sequencing to Better Understand How Diseased Cells Behave the Way They Do in Cardiovascular Disease

The transition of healthy arteries and cardiac valves into dense, cell-rich, calcified, and fibrotic tissues is driven by a complex interplay of both cellular and molecular mechanisms. Specific cell ...
ahajournals.org

Single Cell RNA Sequencing in Atherosclerosis Research

Technological advances in characterizing molecular heterogeneity at the single cell level have ushered in a deeper understanding of the biological diversity of cells present in tissues including ...
Frontiers

Cytotoxic lymphocyte heterogeneity in glioblastoma: insights from single-cell and spatial multiomics toward precision immunotherapeutic reprogramming

Emerging Role of Cytotoxic Lymphocytes in the Tumor Microenvironment: Diversity, Plasticity, and Therapeutic Insights ...