Published Datasets

Datasets from our published articles can be found under the following links:

Visualization and analysis of gene expression in tissue sections by spatial transcriptomics (2016)
DOI: 10.1126/science.aaf2403

Massive and parallel expression profiling using microarrayed single-cell sequencing (2016)
DOI: 10.1038/ncomms13182

Spatially resolved transcriptome profiling in model plant species (2017)
DOI: 10.1038/nplants.2017.61

Spatial detection of fetal marker genes expressed at low level in adult human heart tissue (2017)
DOI: 10.1038/s41598-017-13462-5

ST Spot Detector: a web-based application for automatic spot and tissue detection for Spatial Transcriptomics image data sets (2018)
DOI: 10.1093/bioinformatics/bty030

Spatial maps of prostate cancer transcriptomes reveal an unexplored landscape of heterogeneity (2018)
DOI: 10.1038/s41467-018-04724-5

Spatially resolved transcriptomics enables dissection of genetic heterogeneity in stage III cutaneous malignant melanoma (Thrane K. et al., 2018)
DOI: 10.1158/0008-5472.CAN-18-0747

Exploring inflammatory signatures in arthritic joint biopsies with Spatial Transcriptomics (Carlberg K. et al., 2019)
DOI: 10.1038/s41598-019-55441-y

A spatiotemporal organ-wide gene expression and cell atlas of the developing human heart (Asp M. et al., 2019)
DOI: 10.1016/j.cell.2019.11.025

Integrating spatial gene expression and breast tumour morphology via deep learning (He B. et al., 2020)
DOI: 10.1038/s41551-020-0578-x

The spatial RNA integrity number assay for in situ evaluation of transcriptome quality (Kvastad L. et al., 2021)
DOI: 10-1038-s42003-020-01573-1