Hadeesha Piyadasa

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Hadeesha Piyadasa

Hadeesha Piyadasa

@HadeeshaP

Postdoc @Bendall_Lab @MikeAngeloLab @Stanford

Palo Alto, CA Katılım Mart 2014
196 Takip Edilen186 Takipçiler
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Hadeesha Piyadasa
Hadeesha Piyadasa@HadeeshaP·
Thrilled to share that our paper is out in @Cancer_Cell: We apply spatial proteomics, transcriptomics, and glycomics to define tumor antigens, TME organization, and predictors of grade and survival. cell.com/cancer-cell/ab…
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Hadeesha Piyadasa
Hadeesha Piyadasa@HadeeshaP·
For a deeper dive into how we built this and what we found, check out the preprint post below 👇 x.com/hadeeshap/stat…
Hadeesha Piyadasa@HadeeshaP

🧵 (1/8) Today, @BenOberlton and I are excited to share the preprint of our work on: A comprehensive multi-omic study of human gliomas, spanning diagnosis, treatment, and recurrence. We address the longstanding challenge of developing effective therapies for gliomas, which have shown limited response to immunotherapy and targeted treatments compared to other malignancies. #GliomaResearch #NeuroOncology #CancerImmunotherapy biorxiv.org/content/10.110…

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Hadeesha Piyadasa
Hadeesha Piyadasa@HadeeshaP·
Thrilled to share that our paper is out in @Cancer_Cell: We apply spatial proteomics, transcriptomics, and glycomics to define tumor antigens, TME organization, and predictors of grade and survival. cell.com/cancer-cell/ab…
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Hadeesha Piyadasa retweetledi
Noah F. Greenwald
Noah F. Greenwald@NoahGreenwald·
Thrilled to share that Nimbus, our method to robustly identify cell positivity in multiplexed imaging data, is out @naturemethods! If you've struggled with cell clustering/phenotyping in imaging data, please give it a try. nature.com/articles/s4159…
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Hadeesha Piyadasa
Hadeesha Piyadasa@HadeeshaP·
(7/8) Open source spatial multi-omics of human gliomas: We have made everything in this study freely available through the BRUCE data portal–a user-friendly web resource for quantitative analysis and visual data exploration of all extracted features and multiparameter imaging data - bruce.parkerici.org. For more details, check out the preprint - biorxiv.org/content/10.110…
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Hadeesha Piyadasa
Hadeesha Piyadasa@HadeeshaP·
🧵 (1/8) Today, @BenOberlton and I are excited to share the preprint of our work on: A comprehensive multi-omic study of human gliomas, spanning diagnosis, treatment, and recurrence. We address the longstanding challenge of developing effective therapies for gliomas, which have shown limited response to immunotherapy and targeted treatments compared to other malignancies. #GliomaResearch #NeuroOncology #CancerImmunotherapy biorxiv.org/content/10.110…
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Jolene Ranek
Jolene Ranek@JoleneRanek·
Super excited to introduce QUICHE (Quantitative InterCellular Niche Enrichment) - a statistical method that can be used to discover local cellular niches differentially enriched in spatial regions, longitudinal samples, or clinical patient groups :) (1/10) biorxiv.org/content/10.110…
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Noah F. Greenwald
Noah F. Greenwald@NoahGreenwald·
I’m super excited to share what I’ve been working on for the last (many) years: a spatial + genomic + transcriptomic characterization of how the breast cancer microenvironment evolves through immunotherapy! (1/x) biorxiv.org/content/10.110…
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Patricia Favaro
Patricia Favaro@favaropb·
I am thrilled to share my preprint with @Bendall_Lab that includes a new and comprehensive phenotypic atlas of human hematopoietic progenitor cells. Check out how we reconcile the diversity of human HSPCs in the tweetorial below. biorxiv.org/content/10.110…
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Bryan Cannon
Bryan Cannon@BryJCannon·
When you bike to lab on a Saturday and realize you forgot your keys but can see the machine through the window, taunting you.
GIF
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Noah F. Greenwald
Noah F. Greenwald@NoahGreenwald·
Excited to announce our first ever MIBI workshop! We'll be talking about the new tools our lab has developed for generating, processing, and analyzing MIBI data. We'll also be going over our workflow for reagent validation, panel design, and troubleshooting pesky antibodies.
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