The current group works on multiple techniques for spatial omics mapping. We are continuously expanding our toolsets with new designs.
DBiT-seq
Deterministic Barcoding in Tissue for spatial omics sequencing – for co-mapping of mRNAs and proteins in a formaldehyde-fixed tissue slide via NGS sequencing. Parallel microfluidic channels were used to deliver DNA barcodes to the surface of a tissue slide and crossflow of two sets of barcodes A1-50 and B1-50 followed by ligation in situ yielded a 2D mosaic of tissue pixels, each containing a unique full barcode AB. Read more.
Spatial CITE-seq
Spatial-CITE-seq for high-plex protein and whole transcriptome co-mapping in tissue can map 189 proteins and whole transcriptome in multiple mouse tissue types. It was also able to map human tissues with up to 273 proteins and transcriptome. Read more.
Pancreatic Cancer
We are conducting research to identify spatially resolved biomarkers to predict cancer progression and metastatic potential using Spatial ATAC-seq. This approach allows us to map chromatin accessibility in distinct cellular regions, providing insights into the regulatory mechanisms driving tumor growth and metastasis. By leveraging this technology, we aim to pinpoint key epigenetic changes that contribute to cancer progression.
Cardiovascular Research
We are using Spatial ATAC-seq to map chromatin accessibility in distinct cardiac regions, providing insights into the regulatory mechanisms driving heart tissue remodeling and disease progression. Our research focuses on identifying spatially resolved biomarkers that can predict heart disease progression and its potential complications. By leveraging this technology, we aim to pinpoint key epigenetic changes that contribute to cardiovascular disease.