Congrats @mtigue13 !! Can't wait to see where this project goes!

@ltkagohara It was also great to see @TrowbridgeLab present all of the awesome work that her lab been doing uncovering mechanisms of clonal expansion and progression to leukemia in DNMT3a/NPM1c CHIP!!

I had so much fun presenting at AACR this week! Thanks to all of our collaborators for helping with this project! Including @ltkagohara for helping with the spatial data analysis.

Congratulations to @LobergMatthew for the awesome poster presentation at AACR. Thanks also to our fantastic collaborative team.

Spotiphy enables single-cell spatial whole transcriptomics across an entire section | Nature Methods

We are excited to share our new work out today in @NatureCellBio uncovering a new Achilles heel of pancreatic cancer. Myc is a key driver of PDAC and predicts poor survival. Thus, we asked the question of how Myc protein levels are regulated in PDAC. 👉 https://t.co/EMqDE5hX9M 🎉

We are excited to share our recent pre-print exploring cancer-associated fibroblast (CAF) phenotypes as thyroid cancers progress from treatable well-differentiated tumors to highly lethal anaplastic thyroid cancer! @DrVivianWeiss @hartheat21 @mtigue13 https://t.co/pXN21wICpK

Excited to share this preprint on TNC, Wnt, and thyroid cancer! Thanks @LobergMatthew for helping me with this!

Thrilled to share our back-to-back two Nature @Nature papers on the unexpected role of type 2 immunity against cancer. We found that interleukin 4 (Fc–IL-4), a type 2 cytokine, reinvigorates exhausted T cells to potentiate anticancer immunotherapy w/ @YugangGUO2 @RongFan8(1/11)

STAMP Single-Cell Transcriptomics Analysis & Multimodal Profiling through Sequencing-free, Imaging-based #SpatialOmics system CosMx Xenium Single-cell suspension cytospinned to slides 100 ~ >1M cells ⏫cell capture ⏬doublets Able to identify ultra-rare cell population

New preprint from @ltkagohara @FertigLab @DrLizJaffee @wonjinho1 @AshleyKiemen @AshaniTW & colleagues @hopkinskimmel @ConvergenceInst Spatial multi-omics reveal intratumoral humoral immunity niches associated with tertiary lymphoid structures in #PancreaticCancer immunotherapy

CellChat for systematic analysis of cell–cell communication from single-cell transcriptomics

We've been awarded an NIH R01 grant to further improve ShinyGO! 🎉 - Thank you for using it and citing our paper! - These support letters were essential! - This means the annotation databases will be updated for at least 5 years, also benefiting iDEP users. - Feel free to

SpatialOne: end-to-end analysis of visium data at scale https://t.co/UStmFmVBOi 🧬🖥️ https://t.co/mPJIGM7UUr

Mapping cellular interactions from spatially resolved transcriptomics data https://t.co/9Ie1nIMmZ1 (read free: https://t.co/sFmeo6cOeK) Spacia software: https://t.co/tFoBvqdcpf 🧬🖥️

A unified model for interpretable latent embedding of multi-sample, multi-condition single-cell data

Now out - WebAtlas pipeline for visualizing and processing integrated single cell and spatial transcriptomics data ⁦@naturemethods⁩ ⁦@bayraktar_lab⁩ ⁦@HaniffaLab⁩ ⁦@shazanfar⁩ ⁦@humancellatlas⁩ https://t.co/sSgxHwVl4Y

Many #SpatialTranscriptomics tools are out there! Which performs best? Which runs fastest? A nice resource here😆👇 16 clustering methods SpatialPCA https://t.co/UiMaUO7dr7 SpaGCN BANKSY GraphST STAGATE SEDR PRECAST conST DeepST CCST BASS ADEPT SpaceFlow BayesSpace ConGI 10

Benchmarking clustering, alignment, and integration methods for spatial transcriptomics👍 https://t.co/Y7unBn8LZW

🤩Excited to share our @naturemethods comment on “Unlocking the Power of Spatial Omics with AI” https://t.co/i0ffuCEZUv co-authored with Kyle Coleman and Amelia Schroeder @UPennDBEI. Big thanks to @rita_strack for inviting us to contribute.