Spatial Transcriptomics - Part of 10x Genomics

As of December 10, 2018 Spatial Transcriptomics is part of 10x Genomics. Please follow us on Twitter at @10xgenomics and find more information at 10xgenomics.com.

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. bit.ly/2C24v7x

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. buff.ly/2EdpuWA

Hello San Diego and hello @Neurosci2018! Meet us at booth 518 tomorrow! #spatial #spatialtranscriptomics buff.ly/2PZh9c9

Great to meet you at #ASHG18. More fun is coming up, @Neurosci2018 is just one week away. See you there?

Exiting times, the #ASHG18 event in San Diego is just one week away. Find us at booth 645!

Two great review papers on Spatial Transcriptomics 1) Curr Op in BioTechnology sciencedirect.com/science/articl… (@SItzkovitz @SItzkovitz and figure 3 below) 2) Science science.sciencemag.org/content/358/63… (@slinnarsson )

Now published - ST Viewer: a tool for analysis and visualization of Spatial Transcriptomics datasets | Bioinformatics | Oxford Academic academic.oup.com/bioinformatics…

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 biorxiv.org/content/early/…

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! biorxiv.org/content/early/…

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 biorxiv.org/content/early/…

Don't miss this sneak peek in Cell: "An Organ-Wide Gene Expression Atlas of the Developing Human Heart". Read it here: buff.ly/2vGAi9G - hope you find it interesting! #SpatialTranscriptomics

By selecting any two regions you can easily discover the most differentially expressed genes. Read our showcase here: buff.ly/2uhOs03 #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: buff.ly/2u1izd5

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: buff.ly/2L1zGlw #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: buff.ly/2m8QaO1

New publication out called: "Charting Tissue Expression Anatomy by Spatial Transcriptome Deconvolution". You can read it here: buff.ly/2NB6NOF

@Methos2010 It's definitely possible. Give it a try!

@STomics What about for Rheumatoid Arthritis?

We really recommend you to read this article called: "Spatial maps of prostate cancer transcriptomes reveal an unexplored landscape of heterogeneity": buff.ly/2ljhM2a #SpatialTranscriptomics

@pedrosaurio There is actually already an article on combining Spatial Transcriptomics and single cell data. Have a look here: biorxiv.org/content/early/…

Curious about what we can do? #SpatialTranscriptomics - all mRNAs spatially resolved. See our showcase: buff.ly/2sXrziN

To showcase the potential of the #SpatialTranscriptomics technology, a few potent analyses enabled by spatially resolved RNA sequencing data are presented in our showcase: buff.ly/2sXrziN