Postdoc @Bendall_Lab @MikeAngeloLab @Stanford
Palo Alto, CA
Joined March 2014
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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/abstrac…
Hadeesha Piyadasa retweeted
Most spatial CRISPR screens require trade-offs in throughput or readout depth. A new preprint from @alexnevue, @Inna_Averbukh, @Davidlarastiaso & team introduces PerturbSpace: spatially resolved, multimodal, whole-transcriptome on standard single-cell workflows.
For a deeper dive into how we built this and what we found, check out the preprint post below 👇
xitter.cf/hadeeshap/status/19016…
🧵 (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/10.1101/…
Hadeesha Piyadasa retweeted
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/s41592-0…
🧵 (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/10.1101/…
(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/10.1101/…
(8/8) All this work would not have been possible without all the amazing people at @Bendall_Lab and @MikeAngeloLab and our collaborators. Mikaela Ribi, Ke Leow @JoleneRanek @Inna_Averbukh @meeladamouzgar @CandaceCLiu @NoahGreenwald Erin McCaffrey @rashmikumar559 Albert Tsai @MarcBosse5 @OkadaLabUCSF1 @OldridgeDerek
Hadeesha Piyadasa retweeted
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/10.1101/…
Hadeesha Piyadasa retweeted
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/10.1101/…
Hadeesha Piyadasa retweeted
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/10.1101/…
Hadeesha Piyadasa retweeted
Save the Date! Please join us in August for our 2nd Annual Spatial Biology Workshop! @_hubmap @ncihtan #spatialbiology @WellcomeLeap
We're excited to announce that the 2nd annual Spatial Biology Workshop will be taking place August 28th-30th at Stanford. The workshop will cover new techniques and tools for generating and analyzing spatial data, as well as new biology discovered using spatial methods.
ALT Flyer announcement for workshop, which will take place August 28th-30th at Stanford.
Hadeesha Piyadasa retweeted
Our new @_hubmap study examining how the maternal fetal interface is established in human pregnancy is out! Big effort led by @Inna_Averbukh, @ErinSoon_ , @ShirleyGreenba1. So proud of the beautiful study they completed!
nature.com/articles/s41586-0…
Hadeesha Piyadasa retweeted
Thrilled to share the preprint from my postdoc work in the @Bendall_Lab with @MikeAngeloLab and Thomas Montine at @StanfordMed looking at human microglia in situ in #aging and #Alzheimers disease by multiplexed proteomic imaging! shorturl.at/agCN0
Hadeesha Piyadasa retweeted
Watch Starship’s first integrated flight test → spacex.com/launches xitter.cf/i/broadcasts/1OyKAVQrg…
Hadeesha Piyadasa retweeted
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.
