
HornsteinLab @WeizmannScience | Mechanisms of Neurodegeneration | #ALS | #noncodingRNA | #phaseseparation | #neurogenetics | #biomarkers | computational biomed
Weizmann Institute of Science
Joined September 2018
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Hornstein Lab retweeted
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
Hornstein Lab retweeted
Wearable robot gives ALS patients a hand buff.ly/BTxGLnp
#ALS #AmyotrophicLateralSclerosis #ALSDisease #ALSTreatment #ALSResearch
Hornstein Lab retweeted
IsomiR Utility in ALS Prognostication medrxiv.org/cgi/content/shor… #medRxiv
Hornstein Lab retweeted
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
Hornstein Lab retweeted
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
Hornstein Lab retweeted
Delighted to share new work from our lab:
MultiPerturb-seq 🎛️❌📥📤
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
Hornstein Lab retweeted
At AAIC 2024, phospho-tau assays look ready for primary and secondary care. @lunduniversity @wustl @BannerAlzheimer ow.ly/QPzg50SV3Tp
Hornstein Lab retweeted
A phase Ib/IIa study of Enoxacin in patients with ALS medrxiv.org/cgi/content/shor… #medRxiv
Hornstein Lab retweeted
Interested in 3' UTR changes in scRNA-seq? Check out our:
* CPA-Perturb-seq paper
* UCSC Perturb-seq tracks (see who regulates your favorite 3’ UTR!)
* Seurat extension for polyA site analysis (PASTA)
* Deep neural perturbation network (APARENT-Perturb)
cell.com/cell/fulltext/S0092…
Hornstein Lab retweeted
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/bi…
CV to [email protected] / [email protected]
#jobopportunity
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! 🧠🔬#neuroscience #Microscopy
Hornstein Lab retweeted
A confocal microscopy image of Your Majesty, the neuron, the king of the brain jungle 🧠🔬! 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 concentrate and organize 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: 🟠SMI32🔵PSD95 #SynapticSunday @zeiss_micro
Hornstein Lab retweeted
Our preprint of 𝑵𝑶𝑽𝑨 is out!
A deep representation learning of 24 organelles in 1.5M 🔬 images of human iPSC-dervied cortical neurons. We tested stress, #ALS genetic perturbations, and more.
What a fascinating road it was with this one.. 🎢🧠🧪🧫
Introducing organellomics - a systems-level view of human cell architecture with 24 organelles. AI-driven 𝗡𝗢𝗩𝗔 (𝗡euronal 𝗢rganellomics 𝗩ision 𝗔tlas) encodes organelle patterns in 1.5M+ neuron images, enabling holistic insights in cellular biology
biorxiv.org/content/10.1101/…
Hornstein Lab retweeted
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 𝗡𝗢𝗩𝗔 (𝗡euronal 𝗢rganellomics 𝗩ision 𝗔tlas) encodes organelle patterns in 1.5M+ neuron images, enabling holistic insights in cellular biology
biorxiv.org/content/10.1101/…
Hornstein Lab retweeted
Check out our latest preprint about AI-driven 🤖 deep organellar phenotyping of human 🧠 neurons.
biorxiv.org/content/10.1101/…
Introducing organellomics - a systems-level view of human cell architecture with 24 organelles. AI-driven 𝗡𝗢𝗩𝗔 (𝗡euronal 𝗢rganellomics 𝗩ision 𝗔tlas) encodes organelle patterns in 1.5M+ neuron images, enabling holistic insights in cellular biology
biorxiv.org/content/10.1101/…
Hornstein Lab retweeted
Check out this groundbreaking preprint by the @HornsteinLab! Introducing a novel AI-driven approach for organellomic studies in neurons 🧠🔍
#Cellbiology #Organellomics #deeplearning #neuroscience
Introducing organellomics - a systems-level view of human cell architecture with 24 organelles. AI-driven 𝗡𝗢𝗩𝗔 (𝗡euronal 𝗢rganellomics 𝗩ision 𝗔tlas) encodes organelle patterns in 1.5M+ neuron images, enabling holistic insights in cellular biology
biorxiv.org/content/10.1101/…
Hornstein Lab retweeted
I am happy to share my 2nd PhD paper now published in @NAR_Open: "BLM helicase protein negatively regulates #stressgranules formation through unwinding #RNA #G4s". The result of a great collaboration between @HornsteinLab, Hickson Lab & @dmonchaud doi.org/10.1093/nar/gkad613 (1/8)























