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Introducing organellomics - a systems-level view of human cell architecture with 24 organelles. AI-driven ๐—ก๐—ข๐—ฉ๐—” (๐—กeuronal ๐—ขrganellomics ๐—ฉision ๐—”tlas) encodes organelle patterns in 1.5M+ neuron images, enabling holistic insights in cellular biology
biorxiv.org/content/10.110โ€ฆ
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TDP-43 may play a role in neurodegenerative disorders such as #alzheimersdisease and #parkinsonsdisease, even in the absence of detectable aggregates. @UKDRI @Cambridge_Uni @WeizmannScience @EmoryMedicine ow.ly/thRc50X1sgM
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IsomiR Utility in ALS Prognostication medrxiv.org/cgi/content/shโ€ฆ #medRxiv
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Super excited to finally see this published! Our new method to use combinatorial staining and deep learning to push the multiplexing boundaries of spatial proteomics!
High-dimensional imaging using combinatorial channel multiplexing and deep learning go.nature.com/4hGPfO0
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Big news: we are setting up a new non-profit organization to run bioRxiv and medRxiv. It's called openRxiv [no it's not a new preprint server; it's a dedicated organization to oversee the servers] openrxiv.org 1/n
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Excited to share our preprint: "๐Ž๐ซ๐ ๐š๐ง๐ž๐ฅ๐ฅ๐จ๐ฆ๐ข๐œ๐ฌ: ๐€๐ˆ-๐๐ซ๐ข๐ฏ๐ž๐ง ๐๐ž๐ž๐ฉ ๐จ๐ซ๐ ๐š๐ง๐ž๐ฅ๐ฅ๐š๐ซ ๐ฉ๐ก๐ž๐ง๐จ๐ญ๐ฒ๐ฉ๐ข๐ง๐  ๐ซ๐ž๐ฏ๐ž๐š๐ฅ๐ฌ ๐ง๐จ๐ฏ๐ž๐ฅ ๐€๐‹๐’ ๐ฆ๐ž๐œ๐ก๐š๐ง๐ข๐ฌ๐ฆ๐ฌ ๐ข๐ง ๐ก๐ฎ๐ฆ๐š๐ง ๐ง๐ž๐ฎ๐ซ๐จ๐ง๐ฌ"
๐Ÿš€๐•๐ข๐ฌ๐ข๐จ๐ง-๐ญ๐ซ๐š๐ง๐ฌ๐Ÿ๐จ๐ซ๐ฆ๐ฌ-๐›๐š๐ฌ๐ž๐ ๐จ๐ซ๐ ๐š๐ง๐ž๐ฅ๐ฅ๐š๐ซ ๐ฉ๐ก๐ž๐ง๐จ๐ญ๐ฒ๐ฉ๐ข๐ง๐  ๐ฎ๐ง๐ฏ๐ž๐ข๐ฅ๐ฌ ๐ก๐ข๐๐๐ž๐ง ๐€๐‹๐’ ๐ฆ๐ž๐œ๐ก๐š๐ง๐ข๐ฌ๐ฆ๐ฌ!

๐Ÿงต Thread on ๐˜•๐˜–๐˜๐˜ˆ (๐˜•๐˜ฆ๐˜ถ๐˜ณ๐˜ฐ๐˜ฏ๐˜ข๐˜ญ ๐˜–๐˜ณ๐˜จ๐˜ข๐˜ฏ๐˜ฆ๐˜ญ๐˜ญ๐˜ฐ๐˜ฎ๐˜ช๐˜ค๐˜ด ๐˜๐˜ช๐˜ด๐˜ช๐˜ฐ๐˜ฏ ๐˜ˆ๐˜ต๐˜ญ๐˜ข๐˜ด)๐ŸŽ—๏ธ our deep-learning model trained with ~3M images of human-derived neurons, and newly discovered insights into ALS disease. We used AI to map cellular dysfunction at un unprecedented resolution, comprehensively studying all sub-cellular organelles.

Preprint: "๐Ž๐ซ๐ ๐š๐ง๐ž๐ฅ๐ฅ๐จ๐ฆ๐ข๐œ๐ฌ: ๐€๐ˆ-๐๐ซ๐ข๐ฏ๐ž๐ง ๐๐ž๐ž๐ฉ ๐จ๐ซ๐ ๐š๐ง๐ž๐ฅ๐ฅ๐š๐ซ ๐ฉ๐ก๐ž๐ง๐จ๐ญ๐ฒ๐ฉ๐ข๐ง๐  ๐ซ๐ž๐ฏ๐ž๐š๐ฅ๐ฌ ๐ง๐จ๐ฏ๐ž๐ฅ ๐€๐‹๐’ ๐ฆ๐ž๐œ๐ก๐š๐ง๐ข๐ฌ๐ฆ๐ฌ ๐ข๐ง ๐ก๐ฎ๐ฆ๐š๐ง ๐ง๐ž๐ฎ๐ซ๐จ๐ง๐ฌ"
biorxiv.org/content/10.110โ€ฆ

Check out our code and data: github.com/Sagykri/NOVA
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Delighted to share new work from our lab:
MultiPerturb-seq ๐ŸŽ›๏ธโŒ๐Ÿ“ฅ๐Ÿ“ค

Over the last few years, we've been combining CRISPR screens with multimodal readouts of gene expression (RNA) and chromatin accessibility (DNA). In this study, we bring those together within the same cells.
Pooled CRISPR screens with joint single-nucleus chromatin accessibility and transcriptome profiling go.nature.com/4hXER5O
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The pure joy in Gaza as Iranian missiles cover the sky above Tel Aviv.
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At AAIC 2024, phospho-tau assays look ready for primary and secondary care. @lunduniversity @wustl @BannerAlzheimer ow.ly/QPzg50SV3Tp
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A phase Ib/IIa study of Enoxacin in patients with ALS medrxiv.org/cgi/content/shโ€ฆ #medRxiv
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Interested in 3' UTR changes in scRNA-seq? Check out our:
* CPA-Perturb-seq paper
* UCSC Perturb-seq tracks (see who regulates your favorite 3โ€™ UTR!)
* Seurat extension for polyA site analysis (PASTA)
* Deep neural perturbation network (APARENT-Perturb)
cell.com/cell/fulltext/โ€ฆ
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Birth of a neuron. Stem cell transforming into a brain cell:

#neuroscience
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Human brain anatomy:

#neuroscience
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My team is working with a substantial arsenal of ML algorithms, analyzing diverse human molecular data. The most intriguing work imaginable. We do science and study human brain diseases, but like a small startup.
Come join us!
We're hiring! Biomedical Data Science Researcher to develop ML/AI tools and investigate molecular mechanisms underlying neurodegeneration.

Position details and requirements: machinelearning.co.il/job/biomedicalโ€ฆ

CV to Eran.hornstein@weizmann.ac.il / Nancyy@weizmann.ac.il

#jobopportunity
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We're hiring! Biomedical Data Science Researcher to develop ML/AI tools and investigate molecular mechanisms underlying neurodegeneration.

Position details and requirements: machinelearning.co.il/job/biomedicalโ€ฆ

CV to Eran.hornstein@weizmann.ac.il / Nancyy@weizmann.ac.il

#jobopportunity
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Hornstein Lab retweeted
Two neurons having a conversation, surrounded by some busy microglia doing their job: maintaining neuronal networks and helping with injury, repair, and pruning! The brain is beautiful! ๐Ÿง ๐Ÿ”ฌ#neuroscience #Microscopy
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A confocal microscopy image of Your Majesty, the neuron, the king of the brain jungle ๐Ÿง ๐Ÿ”ฌ! This one is the classical pyramidal cell, the most common neuronal type in the mammalian cerebral cortex. In blue, staining for PSD95, a major protein in excitatory synapses that helps e neurotransmitter receptors in the synaptic cleft. Each little dark blue puncta shows an excitatory synapse happening between two neurons!
Reduction or dysfunction in the PSD95 expression is related to impaired learning and working memory and is observed in diseases such as Alzheimer's and Parkinson's. Staining: ๐ŸŸ SMI32๐Ÿ”ตPSD95 #SynapticSunday @zeiss_micro
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Our preprint of ๐‘ต๐‘ถ๐‘ฝ๐‘จ is out!
A deep representation learning of 24 organelles in 1.5M ๐Ÿ”ฌ images of human iPSC-dervied cortical neurons. We tested stress, #ALS genetic perturbations, and more.

What a fascinating road it was with this one.. ๐ŸŽข๐Ÿง ๐Ÿงช๐Ÿงซ
Introducing organellomics - a systems-level view of human cell architecture with 24 organelles. AI-driven ๐—ก๐—ข๐—ฉ๐—” (๐—กeuronal ๐—ขrganellomics ๐—ฉision ๐—”tlas) encodes organelle patterns in 1.5M+ neuron images, enabling holistic insights in cellular biology
biorxiv.org/content/10.110โ€ฆ
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A new bioRxive from our lab showing a new concept: #Organellomics in #Neurons that distinguishes between cell states and conditions. A huge imaging data set of neurons and an edvanced computational work come together! It was my pleasure to be part of this fantastic work!
Introducing organellomics - a systems-level view of human cell architecture with 24 organelles. AI-driven ๐—ก๐—ข๐—ฉ๐—” (๐—กeuronal ๐—ขrganellomics ๐—ฉision ๐—”tlas) encodes organelle patterns in 1.5M+ neuron images, enabling holistic insights in cellular biology
biorxiv.org/content/10.110โ€ฆ
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Check out our latest preprint about AI-driven ๐Ÿค– deep organellar phenotyping of human ๐Ÿง  neurons.
biorxiv.org/content/10.110โ€ฆ
Introducing organellomics - a systems-level view of human cell architecture with 24 organelles. AI-driven ๐—ก๐—ข๐—ฉ๐—” (๐—กeuronal ๐—ขrganellomics ๐—ฉision ๐—”tlas) encodes organelle patterns in 1.5M+ neuron images, enabling holistic insights in cellular biology
biorxiv.org/content/10.110โ€ฆ
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