As of December 10, 2018 Spatial Transcriptomics is part of 10x Genomics. Please follow us on Twitter at @10xgenomics and find more information at https://t.co/Qpe25X5llY.
We are excited to announce the acquisition of @STomics, a pioneer in the emerging field of #spatialtranscriptomics. The new field allows researchers to not only see what is in a cell, but how the cells are organized in relation to one another. https://t.co/eXw3Z7OxWD
Today we announced the acquisition of our company by @10xgenomics and are excited to have our novel technology for spatially-resolved transcriptomics join their best-in-class product portfolio. https://t.co/PR529gUHCo
Two great review papers on Spatial Transcriptomics
1) Curr Op in BioTechnology https://t.co/YDnHz51dFZ (@SItzkovitz@SItzkovitz and figure 3 below)
2) Science
https://t.co/PGthcOnWXm
(@slinnarsson )
Now published - ST Viewer: a tool for analysis and visualization of Spatial Transcriptomics datasets | Bioinformatics | Oxford Academic https://t.co/ZF5H2KOVro
Another elegant approach for combining single cell RNAseq with Spatial Transcriptomics by @ItaiYanai: Cancer archetypes co-opt and adapt the transcriptional programs of existing cellular states https://t.co/nhigJ7QYxM
In our new preprint we propose that melanoma cancer cells can be classified to three ‘archetypes’ that co-opt the neural crest, mature melanocytes, and stress gene expression programs. They are also conserved between zebrafish and human tumors! https://t.co/qOWQZ66BgP
Read about the largest Spatial Transcriptomics project so far. More than 1200 tissue sections analysed. "Spatiotemporal Dynamics of Molecular Pathology in Amyotrophic Lateral Sclerosis" #spatialtranscriptomics https://t.co/mvOybbZhev
Don't miss this sneak peek in Cell: "An Organ-Wide Gene Expression Atlas of the Developing Human Heart". Read it here: https://t.co/9lxsjFRCyq - hope you find it interesting! #SpatialTranscriptomics
By selecting any two regions you can easily discover the most differentially expressed genes. Read our showcase here: https://t.co/UfD7CcT4tx #Spatial#SpatialTranscriptomics
"Freely select your region of interest to generate a list of genes expressed in that region." Read more about how you can use #SpatialTranscriptomics in our showcase: https://t.co/a1aWObJp2A
Combine genes! Since all mRNAs are captured, you are not limited to visualizing only a single gene but can choose any number of genes. Read more: https://t.co/8WMGLDK8Co
#spatial
The data generated by a #SpatialTranscriptomics experiment allows you to choose any gene of interest and display its spatially resolved expression on the original tissue section. Read our showcase: https://t.co/GeeIHy4nHp
We really recommend you to read this article called: "Spatial maps of prostate cancer transcriptomes reveal an unexplored landscape of heterogeneity": https://t.co/86LQmcdK7O
#SpatialTranscriptomics
To showcase the potential of the #SpatialTranscriptomics technology, a few potent analyses enabled by spatially resolved RNA sequencing data are presented in our showcase: https://t.co/EPbDAR6GVi