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🚀 Happy to share our new preprint introducing GRIDGENE — a transcript density–based approach for spatial transcriptomics!
biorxiv.org/content/10.1101/…
#SpatialTranscriptomics #CancerResearch #Bioinformatics
GRIDGENE takes a cell-free approach, using transcript density to define biologically relevant tissue regions such as:
✨ Tissue interfaces
✨ Phenotype-enriched compartments
✨ Gene signature–defined zones
🚀 New Tool Alert! 🚀
PENGUIN 🐧is finally published in @CSB_Journal : PENGUIN is a rapid, efficient, and user-friendly tool for denoising and normalizing multiplexed spatial proteomics images! 🔬✨
🔗sciencedirect.com/science/ar…
Instead, PENGUIN preserves critical signal intensity variations, cuts down on noise, and boosts accuracy in tasks like cell segmentation & phenotyping. 🧬💻
📈 Real Results: In our study, PENGUIN outperformed traditional methods, making image preprocessing for spatial proteomics more accessible and effective than ever.🐧
github.com/deMirandaLab/PENG…
de Miranda Lab retweeted
Great EORTC Soft Tissue and Bone Sarcoma Group Meeting in Turin!
Thanks to all the attendees for the fruitful discussion!!
Looking forward to future steps @winanvanhoudt
@SilviaStacchia @alegronchi
@merlini_ale @SarcomaUniTo @ItaSarcomaGroup
@HuangLabICR @deMirandaLab @EORTC
de Miranda Lab retweeted
.@tvanwezel @StephSchubert @NfdeMiranda @LUMC_Leiden @dundeeuni identify a heterozygous stop-lost variant in #TP53 that specifically affects p53β isoforms and predisposes to familial cancer
#CancerResearch @NatResCancer nature.com/articles/s41467-0…
de Miranda Lab retweeted
Exciting work led by @StephSchubert! We uncover a new variant of the beta isoform of the p53 gene linked to cancer risk. A STOP loss germline mutation increases its oligomerization with the main p53 isoform, affecting its function! #Genetics #Cancer
.@tvanwezel @StephSchubert @NfdeMiranda @LUMC_Leiden @dundeeuni identify a heterozygous stop-lost variant in #TP53 that specifically affects p53β isoforms and predisposes to familial cancer
#CancerResearch @NatResCancer nature.com/articles/s41467-0…
de Miranda Lab retweeted
Happy to share the 'Behind the Paper' on our recent publication about the integration of Imaging Mass Cytometry and Mass Spectrometry Imaging.
Can't wait to see what the combination of spatial metabolomics and proteomics will teach us!
@deMirandaLab
communities.springernature.c…
de Miranda Lab retweeted
A workflow integrating imaging mass cytometry and mass spectrometry-based imaging on the same tissue sample, developed by @deMirandaLab, enables analysis of metabolic heterogeneity at the single cell level. @MEIjsselsteijn @Joana_BrasNunes @NFdeMiranda
nature.com/articles/s41592-0…
Our latest data proposes that Lynch-associated CRCs have similar immune profiles across all MMR gene defects, challenging the idea of gene-specific immunological differences. #LynchSyndrome #CancerResearch @MaartjeNielsen
medrxiv.org/content/10.1101/…
🚨 Happy to share our latest work on combining Imaging Mass Cytometry (IMC) and Mass Spectrometry Imaging (MALDI-MSI) to unravel cell-type-specific metabolic profiles in tissues. Thrilled to see it published in @naturemethods!
nature.com/articles/s41592-0…
Work spearheaded by @Joana_BrasNunes and @meijsselsteijn, in collaboration with the teams of @ahmedElkoussy, @EvertsBart, and Bram Heijs.
#MassSpectrometry #Imaging #Metabolomics
🚀 We just developed a new tool for pre-processing #multiplex #imaging data! 🐧 PENGUIN is an easy, straightforward, and highly effective solution to handle noise while preserving real signals.
biorxiv.org/content/10.1101/…















