Thiago Carvalho

Tools (#preprint from 10x Genomics).
'Here, we introduce Visium HD Spatial Gene Expression (“Visium HD”) and demonstrate its use as a discovery platform for profiling CRC in multiple patients using FFPE tissue blocks. Visium HD slides provide a dramatically increased oligonucleotide barcode density over the Visium v2 slides (11,000,000 continuous features in a 6.5 mm Visium HD capture area, compared to 5,000 features with gaps between them in a 6.5 mm Visium v2 capture area). The single cell scale resolution of Visium HD allowed us to map distinct populations of immune cells, specifically macrophages and T cells, and evaluate differential gene expression at the tumor boundary to explore the potential contribution of these immune cell populations in the TME.'
#Immunology #Immunotherapy #SpatialTranscriptomics
biorxiv.org/content/10.1101/20

Characterization of immune cell populations in the tumor microenvironment of colorectal cancer using high definition spatial profiling

Colorectal cancer (CRC) is the second-deadliest cancer…

www.biorxiv.org
Tim Downing

Some really great talks and discussions today on advances in virus-livestock omics at the #Turing institute, who kindly supported the event. Talks include those by Ge Wu and Marie Di Placido (pictures) from the #Pirbright Institute.

Great to have input from the #BBSRC and #SFTC #Harttree Centre too.

Looking forward to new adventures in this area...

#livestock #virus #genomics #antibody #genome #mutation #pangenome #omics #transcriptomics #spatialtranscriptomics #fmdv

Tim Downing

Last chance to register for our meeting "Advancing virus-livestock omics" on Thurs 28th Sept at the Alan Turing Institute.

Registration closes end of Mon 25th.

See turing.ac.uk/events/advancing-

Register here: t.ly/wYA7d

Schedule below

Zoom stream possible for those from further afield

#livestock #virus #genomics #antibody #genome #mutation #pangenome #omics #transcriptomics #spatialtranscriptomics #fmdv

Marc Robinson-Rechavi

Marius Lange #BC2basel: increasing complexity of #SingleCell data leads to problems of temporal, spatial and spatio-temporal mapping. The solution proposed is optimal transport applications, implemented in Moscot:
moscot.readthedocs.io/en/lates
biorxiv.org/content/10.1101/20 #SpatialTranscriptomics #scRNAseq

moscot documentation

moscot.readthedocs.io
Marc Robinson-Rechavi

Impressive work by Jean Fan's lab #BC2basel: aligning different spatial transcriptomics results, not only from different experiments but different protocols, e.g. MERFISH - Visium. Combining with #scRNAseq clustering and her lab's spot deconvolution allows to compare directly gene expression between these different experiments, biorxiv.org/content/10.1101/20 #SpatialTranscriptomics

Alignment of spatial transcriptomics data using diffeomorphic metric mapping

Spatial transcriptomics (ST) technologies enable high…

www.biorxiv.org
Alessia Visconti

There is Minecraft. And then there is the #Visium manual fiducial alignment

#SpatialTranscriptomics #BioInformatics

Patrick Martin

I might as well have make a pinned post.

We published Vesalius a tool that uses Image analysis methods to analyze spatial-omics data.

A new version will be coming soon that will include multimodal analysis and alignment!

GitHub: patrickcnmartin.github.io/Vesa

MSB: embopress.org/doi/full/10.1525

#SpatialTranscriptomics #ImageAnalysis

Vesalius

Spatial Transcriptomic Analysis using Image Analysis

patrickcnmartin.github.io