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Hornstein Lab Profile
Hornstein Lab

@HornsteinLab

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HornsteinLab @WeizmannScience | Mechanisms of Neurodegeneration | #ALS | #noncodingRNA | #phaseseparation | #neurogenetics | #biomarkers | computational biomed

Weizmann Institute of Science
Joined September 2018
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@HornsteinLab
Hornstein Lab
2 years
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 https://t.co/YQRxeGwLcm
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@alzforum
Alzforum
3 months
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
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@alsnewstoday
ALS News Today
4 months
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@medrxivpreprint
medRxiv
7 months
IsomiR Utility in ALS Prognostication https://t.co/PokOwnl8rk #medRxiv
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@leeat_keren
Leeat Keren
9 months
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!
@NatureBiotech
Nature Biotechnology
9 months
High-dimensional imaging using combinatorial channel multiplexing and deep learning https://t.co/balOMNQew0
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@cshperspectives
Richard Sever
10 months
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] https://t.co/4siujZbXxF 1/n
openrxiv.org
openRxiv is an independent non-profit, the new organizational home for bioRxiv and medRxiv, enabling researchers to instantly share groundbreaking findings with the global scientific community.
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@HornsteinLab
Hornstein Lab
10 months
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"
@NancyYaco
Nancy Yacovzada
10 months
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
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@nevillesanjana
Neville Sanjana
1 year
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.
@NatureBiotech
Nature Biotechnology
1 year
Pooled CRISPR screens with joint single-nucleus chromatin accessibility and transcriptome profiling https://t.co/KcjY604fNf
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@kakasloi
kakasloi
1 year
The pure joy in Gaza as Iranian missiles cover the sky above Tel Aviv.
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@alzforum
Alzforum
1 year
At AAIC 2024, phospho-tau assays look ready for primary and secondary care. @lunduniversity @wustl @BannerAlzheimer
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@medrxivpreprint
medRxiv
1 year
A phase Ib/IIa study of Enoxacin in patients with ALS https://t.co/DBtiw6YRqT #medRxiv
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@satijalab
Rahul Satija
1 year
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) https://t.co/XXYEBHV1iG
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cell.com
CRISPR perturbation screens of 42 cleavage and polyadenylation regulators followed by 3โ€ฒ scRNA-seq (CPA-Perturb-seq) identifies modules of co-regulated polyA sites, their connection with distinct...
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@slava__bobrov
Slava Bobrov
2 years
Birth of a neuron. Stem cell transforming into a brain cell: #neuroscience
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@slava__bobrov
Slava Bobrov
2 years
Human brain anatomy: #neuroscience
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@NancyYaco
Nancy Yacovzada
2 years
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!
@HornsteinLab
Hornstein Lab
2 years
We're hiring! Biomedical Data Science Researcher to develop ML/AI tools and investigate molecular mechanisms underlying neurodegeneration. Position details and requirements: https://t.co/he26W7fQX8 CV to Eran.hornstein@weizmann.ac.il / Nancyy@weizmann.ac.il #jobopportunity
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@HornsteinLab
Hornstein Lab
2 years
We're hiring! Biomedical Data Science Researcher to develop ML/AI tools and investigate molecular mechanisms underlying neurodegeneration. Position details and requirements: https://t.co/he26W7fQX8 CV to Eran.hornstein@weizmann.ac.il / Nancyy@weizmann.ac.il #jobopportunity
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@DaniBeckman
Danielle Beckman
2 years
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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@DaniBeckman
Danielle Beckman
2 years
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
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@NancyYaco
Nancy Yacovzada
2 years
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
@HornsteinLab
Hornstein Lab
2 years
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 https://t.co/YQRxeGwLcm
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@DaninoYehuda
Yehuda M. Danino
2 years
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!
@HornsteinLab
Hornstein Lab
2 years
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 https://t.co/YQRxeGwLcm
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@MolitorLena
Lena Molitor
2 years
Check out our latest preprint about AI-driven ๐Ÿค– deep organellar phenotyping of human ๐Ÿง  neurons. https://t.co/DYSqskOOKA
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biorxiv.org
Systematic assessment of organelle architectures in cells, known as the organellome, could provide valuable insights into cellular states and disease pathologies but remains largely uncharted. Here,...
@HornsteinLab
Hornstein Lab
2 years
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 https://t.co/YQRxeGwLcm
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