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We made an explainer on the power of single cell technology to help understand biology and disease at a single cell level. Thanks Illumina for production support. Clip below and full video at:

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OzSingleCell Omics

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19,797 görüntüleme • 3 yıl önce •via X (Twitter)

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Damien Harkin3 yıl önce

@illumina @shalinhnaik @AliciaOshlack @drjosephpowell @GarvanInstitute @PeterMacRes @WEHI_research Nicely done Shalin!

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Sterling Cooley2 yıl önce

Hey! I wanted to make sure you saw we're doing a Live Webinar for the Ultra Skool Learn how to use Ultrasound Vagus Nerve Stimulation - people are having absolutely WILD experiences on this

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Illumina3 yıl önce

@shalinhnaik @AliciaOshlack @drjosephpowell @GarvanInstitute @PeterMacRes @WEHI_research Well done! 👏

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Daniel Dlugolenski3 yıl önce

@illumina @shalinhnaik @AliciaOshlack @drjosephpowell @GarvanInstitute @PeterMacRes @WEHI_research @JensDurruthy

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A few talks at the intersection of single cell biology x agent engineering: - Understanding library prep + sequencing is important - Repurposing data infrastructure for agent consumption - How to benchmark frontier agents on single cell analysis
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In chapter 4 of our science explainer series, we continue our journey inside a human cell to demonstrate how the Prime Editor is intended to correct a single base mutation.
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Tesla - Cell Giga Challenge at Giga Berlin We are getting ready for 18GWh of cell production and you can be part of it! If you are a start-up and think you can challenge us in a real production environment on: materials, production, equipment, automation or AI - this is your unique opportunity. You can win a paid pilot project with our 4680 cell team at Giga Berlin. Apply now:

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Introducing Tahoe-x1 (Tx1) by Tahoe. A 3-billion-parameter, single-cell foundation model that learns unified representations of genes, cells, and drugs, achieving state-of-the-art performance across cancer-relevant cell biology benchmarks, open-sourced on Hugging Face. 🧵
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Introducing Tahoe-x1 (Tx1) by Tahoe. A 3-billion-parameter, single-cell foundation model that learns unified representations of genes, cells, and drugs, achieving state-of-the-art performance across cancer-relevant cell biology benchmarks, open-sourced on Hugging Face. 🧵

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Today in nature, we report a spatial single-cell atlas of human cortical development, revealing surprisingly early specification of human cortical layers and areas. We built an interactive browser to explore the spatial data: Paper link below👇
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Today in nature, we report a spatial single-cell atlas of human cortical development, revealing surprisingly early specification of human cortical layers and areas. We built an interactive browser to explore the spatial data: Paper link below👇

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Andy Moore at HHMI | Janelia created this time-lapse video that shows the dynamic structure of the endoplasmic reticulum (ER) within a kidney cell. As you can see, the ER is very densely packed near the nucleus, which is shown in bright orange color at the center of the cell and is less dense towards the edges of the cell. Videos like these can give us a more complete understanding of the structure and function of the ER and this knowledge could be the basis for future research on how protein and lipid production within the cell affect human health and disease. Download this video and discover more: Credit: Andy Moore, HHMI’s Janelia Research Campus
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Andy Moore at HHMI | Janelia created this time-lapse video that shows the dynamic structure of the endoplasmic reticulum (ER) within a kidney cell. As you can see, the ER is very densely packed near the nucleus, which is shown in bright orange color at the center of the cell and is less dense towards the edges of the cell. Videos like these can give us a more complete understanding of the structure and function of the ER and this knowledge could be the basis for future research on how protein and lipid production within the cell affect human health and disease. Download this video and discover more: Credit: Andy Moore, HHMI’s Janelia Research Campus

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WATCH: Dr Diana Atwine, Permanent Secretary at the Ministry of Health, has launched Sikurea Hydroxyurea 500mg capsules, a drug expected to strengthen the fight against sickle cell disease. She says local production of the medicine is aimed at reducing the cost burden on sickle cell patients. #MonitorUpdates 📹: Geofrey Mutumba

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The Bitter Lesson for Biology — Adam Green on Scaling Laws for Virtual Cells In this episode, the founder of Markov Biosciences, Adam Green, explains the "bitter lesson" for biology, the idea borrowed from Richard Sutton that large unbiased datasets and the right training objective tend to outcompete models with hard-coded rules and human priors. We talk a lot about virtual cells, sources of bias in data, and his evidence that virtual cells pre-trained on plain observational data show clean scaling laws, getting monotonically better at predicting unseen perturbations as the models grow, and beating a state-of-the-art model built specifically for that task. Our interview was about 3 hours long, but cut to 1.5 hours. My main goal was to understand Adam's perspective on virtual cells and his goal to "solve biology." Search for "The New Biology" on YouTube, Spotify, and Apple Podcasts. Timestamps: 00:00 — Cold open 01:58 — Clinical predictions from a virtual cell 05:38 — What is a "virtual cell"? 08:01 — The problems with single-cell RNA-seq 11:31 — The urns analogy 19:54 — Observational vs. perturbation 23:29 — The bitter lesson for biology 29:06 — Geometric Plackett-Luce 38:27 — Ablations and loss function 47:23 — Cells as specimens 59:26 — Antibody-Drug conjugates 1:11:16 — Will we ever understand the cell fully?

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How does an embryo reliably "compute" its form - "cell by cell" - using only local interactions and mechanics, yet produce a precise global body plan? I’m excited to share our Nature Methods paper "MultiCell: geometric learning in multicellular development", presenting #AIxBiology research led by Haiqian Yang and the result of a great collaboration with Ming Guo, George Roy, Tomer Stern, Anh Nguyen and Dapeng Bi. A long-standing challenge in developmental biology is to predict how thousands of cells collectively self-organize as tissues fold, divide, and rearrange. In MultiCell, we represent a developing embryo as a dual graph that unifies two complementary views of tissue mechanics with single-cell resolution: cells as moving points (granular) and cells as a connected foam (junction network). This lets the model learn dynamics from both geometry and cell–cell connectivity. On whole-embryo 4D light-sheet movies of Drosophila gastrulation (~5,000 cells), our model predicts key cell behaviors and the timing of events, including junction loss, rearrangements, and divisions with high accuracy, at single-cell resolution. Beyond prediction, the same representation supports robust time alignment across embryos and offers interpretable activation maps that highlight the morphogenetic "drivers" of development. The broader goal is a foundation for cell-by-cell forecasting in more complex tissues, and eventually for detecting subtle dynamical signatures of disease. Kudos to the team for this inspiring collaboration with brilliant researchers to push the boundary of AI for biology! Citation: Yang, H., Roy, G., Nguyen, A.Q., Buehler, M.J., et al. MultiCell: geometric learning in multicellular development. Nature Methods (2025), DOI: 10.1038/s41592-025-02983-x Code/data links are in the manuscript.

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In this chapter of our explainer series, we will explore how the Prime Editor protein works inside the cell to correct a gene mutation. Tune in below and see more here.
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In this chapter of our explainer series, we will explore how the Prime Editor protein works inside the cell to correct a gene mutation. Tune in below and see more here.

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A whole new wave of disease therapies have started to arrive. They're based on lab made stem cells that can reprogram the body. Folks like Jeff Bezos, Sam Altman and Brian Armstrong have invested billions of dollars into this technology. @nabsicle is trying to mass produce these new stem cells to make the therapies cheaper and more widespread. This is our full episode with her where we get deep into iPSCs and how this technology works. The Core Memory podcast is on all major platforms and on YouTube down below. Brex and @e1ventures are very smart and help us bring the world's smartest podcast to you. Enjoy! Timestamps 00:00 Intro 01:22 Cell Rejuvenation 02:30 AI and Biotech 06:18 Lab-Made vs Natural Stem Cells 08:25 Programming Cell States 10:07 Reversing Parkinson's 12:15 Japan’s Stem Cell Trials 16:46 Personalized Cells 21:19 Cellino’s Laser Bubble Technology 31:34 Stem Cell Fabs 38:33 Personalized Medicine 43:02 Lowering Stem Cell Therapy Costs 46:31 Can Humans Live Forever?

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Spatial-omics goes 3D🤗! Out at Cell Cell 👉🏼 We developed DISCO-MS with Matthias Mann Lab, a spatial proteomics technology for specimens fully imaged in 3D. DISCO-MS is aided by robotics and enables the study of diseases at their early stages.

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A foundation model for aging biology 🧬 Our LFMs are now matching or beating frontier models across clinical data, genetics, methylation, transcriptomics, and proteomics – using a single model family across the full biological stack. Published today on the cover of Cell! Read more and play with the model 👉 Full paper 👉

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Thanks. Here is a video of the patients still doing well with wonderful quality of life... alive and cancer free now 10 years plus. T cell memory. The disease is the dysfunctional immune system. The power of the cancer bioshield.
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Thanks. Here is a video of the patients still doing well with wonderful quality of life... alive and cancer free now 10 years plus. T cell memory. The disease is the dysfunctional immune system. The power of the cancer bioshield.

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