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🔬🧬 Excited to share our latest study Science Magazine developing ChromExM which uses expansion microscopy to visualize the chromatin, transcription, RNA POL II and pioneer factor Nanog during genome activation.

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Giraldez Lab

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136,256 görüntüleme • 3 yıl önce •via X (Twitter)

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Giraldez Lab3 yıl önce

Great collaborative work with @bewersdorflab and @pioneerfactors congratulations to @MarkPownall5, @MiaoLiyun and all authors

Giraldez Lab profil fotoğrafı
Giraldez Lab3 yıl önce

Thank you @ScienceMagazine and @Cell_Tokyo_Tech Hiroshi Kimura @tim_stasevich for a great prospective on our work

Sanjeev Galande profil fotoğrafı
Sanjeev Galande3 yıl önce

@JShendure @ScienceMagazine @MarkPownall5 @bewersdorflab @MiaoLiyun @pioneerfactors @YaleGenetics @CBBonFOX @ceVejnar @OnsMSaad1 @MariaBeOr @alice_sherrard Exciting findings and awesome imaging, congratulations!

Juan Pablo Fernandez profil fotoğrafı
Juan Pablo Fernandez3 yıl önce

@ScienceMagazine @MarkPownall5 @bewersdorflab @MiaoLiyun @pioneerfactors @YaleGenetics @CBBonFOX @ceVejnar @OnsMSaad1 @MariaBeOr @alice_sherrard Congrats team! @GiraldezLab, @MiaoLiyun , @ceVejnar. Amazing work!! 👏

Justin Crocker profil fotoğrafı
Justin Crocker3 yıl önce

@ScienceMagazine @MarkPownall5 @bewersdorflab @MiaoLiyun @pioneerfactors @YaleGenetics @CBBonFOX @ceVejnar @OnsMSaad1 @MariaBeOr @alice_sherrard Awesome paper!

Takashi Fukaya profil fotoğrafı
Takashi Fukaya3 yıl önce

@ScienceMagazine @MarkPownall5 @bewersdorflab @MiaoLiyun @pioneerfactors @YaleGenetics @CBBonFOX @ceVejnar @OnsMSaad1 @MariaBeOr @alice_sherrard Beautiful work, congratulations!!

Junjie Guo 郭俊傑 profil fotoğrafı
Junjie Guo 郭俊傑3 yıl önce

@JeanJuChung @ScienceMagazine @MarkPownall5 @bewersdorflab @MiaoLiyun @pioneerfactors @YaleGenetics @CBBonFOX @ceVejnar @OnsMSaad1 @MariaBeOr @alice_sherrard Amazing work! Congrats!!

monika piwecka profil fotoğrafı
monika piwecka3 yıl önce

@ScienceMagazine @MarkPownall5 @bewersdorflab @MiaoLiyun @pioneerfactors @YaleGenetics @CBBonFOX @ceVejnar @OnsMSaad1 @MariaBeOr @alice_sherrard Added to my must-read list! Also, i can not stop watching that video! 🤩

Marina Chekulaeva profil fotoğrafı
Marina Chekulaeva3 yıl önce

@monika_piwecka @ScienceMagazine @MarkPownall5 @bewersdorflab @MiaoLiyun @pioneerfactors @YaleGenetics @CBBonFOX @ceVejnar @OnsMSaad1 @MariaBeOr @alice_sherrard Congrats Antonio, impressive!

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Excited to share our work showing how the Integrator complex terminates RNA polymerase II (Pol II) transcription i.e. removal of Pol II from the DNA template Published in nature Many thanks to my mentor Patrick Cramer Patrick Cramer for unwavering support
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Excited to share our latest work and first venture into the chromatin field. We visualized for the first time that shelterin factor TRF1 binds and modulates telomeric nucleosome. hongmiao @AutomneNine Great collaboration with the Robinson's group
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Discover our latest study, published in Science Magazine , which reveals a groundbreaking approach to regenerating axons through complete spinal cord injury, reversing paralysis. Read the full article here:
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Discover our latest study, published in Science Magazine , which reveals a groundbreaking approach to regenerating axons through complete spinal cord injury, reversing paralysis. Read the full article here:

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During Artemis II, our crew will get the chance to study the Moon's surface up close—and NASA scientists will track how the human body responds to deep space travel. Explore the science of Artemis II in our latest episode of Curious Universe:
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Super excited to share our latest work on the native in-cell organization of the mitochondrial respiratory chain 🥳 Using cryo-electron tomography🔬, we show how the respiratory complexes (and other complexes) are organized inside native mitochondria!
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Super excited to share our latest work on the native in-cell organization of the mitochondrial respiratory chain 🥳 Using cryo-electron tomography🔬, we show how the respiratory complexes (and other complexes) are organized inside native mitochondria!

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We're excited to share our latest study on how the lysosomal adaptor JIP3 and regulatory protein LIS1 activate dynein-dynactin. Out now on bioRxiv! Work done by Kashish Singh Clinton Lau Giulia Manigrasso in collaboration with Reto Gassmann lab. (1/6)
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We're excited to share our latest study on how the lysosomal adaptor JIP3 and regulatory protein LIS1 activate dynein-dynactin. Out now on bioRxiv! Work done by Kashish Singh Clinton Lau Giulia Manigrasso in collaboration with Reto Gassmann lab. (1/6)

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Professor Robert Clancy discusses "the scary bit". The "Third Wave" of the mass Global mRNA experiment. He tells Dr. John Campbell about the case study of an 80 year old women who "had 9 messenger RNA vaccines" with stable breast cancer had "secondaries in her skin [which were biopsied]." "In the nucleus of the cancer cells, and the cytoplasm, they found spike protein". This discussion partly relates to the "Bait and Switch", where Pfizer swapped out process 1 for process 2, paving the way for mod RNA injections with DNA contamination and SV40 promoters to go into billions of arms. Some of the mechanisms discussed include suppression of P53, activation of the cGAS-STING pathway, and "Reverse Transcription".
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Professor Robert Clancy discusses "the scary bit". The "Third Wave" of the mass Global mRNA experiment. He tells Dr. John Campbell about the case study of an 80 year old women who "had 9 messenger RNA vaccines" with stable breast cancer had "secondaries in her skin [which were biopsied]." "In the nucleus of the cancer cells, and the cytoplasm, they found spike protein". This discussion partly relates to the "Bait and Switch", where Pfizer swapped out process 1 for process 2, paving the way for mod RNA injections with DNA contamination and SV40 promoters to go into billions of arms. Some of the mechanisms discussed include suppression of P53, activation of the cGAS-STING pathway, and "Reverse Transcription".

Humanspective

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Hello from France👋, I’m excited to share with you some big news! The Resonance Science Foundation is transitioning into the International Space Federation (ISF), marking our latest step in the unification of physics, education, and technology. Our new headquarters in Geneva takes advantage of Switzerland's neutrality, and we believe this shift best supports our research, development, and announcements in the long term. As we have already begun our series of publications, we're excited to continue to share our discoveries, creating a bright future for humanity to thrive and harmonize its technology with nature. A big thank you to all of you who have supported us for the last years. I hope you will once again join us in our work towards sustainable energy solutions and gravity control. Be part of it with us!
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Hello from France👋, I’m excited to share with you some big news! The Resonance Science Foundation is transitioning into the International Space Federation (ISF), marking our latest step in the unification of physics, education, and technology. Our new headquarters in Geneva takes advantage of Switzerland's neutrality, and we believe this shift best supports our research, development, and announcements in the long term. As we have already begun our series of publications, we're excited to continue to share our discoveries, creating a bright future for humanity to thrive and harmonize its technology with nature. A big thank you to all of you who have supported us for the last years. I hope you will once again join us in our work towards sustainable energy solutions and gravity control. Be part of it with us!

Nassim Haramein

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🚨BREAKING: Our CENSORED Study Showing mRNA Injections Induce SEVERE Genetic Disruption Linked to Cancer and Chronic Disease Is Now on PUBMED We declare a MAJOR victory against the Journal Cartel. Using high-resolution RNA sequencing on blood samples, we discovered that COVID-19 “vaccines” SEVERELY disrupt expression of THOUSANDS of genes—triggering mitochondrial failure, immune reprogramming, and cancerous activity that can persist for MONTHS to YEARS post-injection. 🧬Differential gene expression analysis compared mRNA-injured patients (cancer, adverse events) to 803 healthy controls — revealing widespread transcriptomic CHAOS: ⚠️ Mitochondrial failure – Complex I breakdown, oxidative stress, energy collapse ⚠️ Immune reprogramming – Chronic inflammation, ACE2 suppression, TLR hyperactivation ⚠️ Oncogenic activation – MYC up, p53/KRAS down, DNA repair suppression ⚠️ Cellular stress – Ribosome overload, misfolded protein buildup, proteasome activation ⚠️ Epigenetic remodeling – Chromatin shifts, methylation changes, nucleosome displacement ⚠️ Reverse transcription suggested – Patterns consistent with LINE-1 activity and persistent plasmid DNA, raising concern for potential genomic integration or sustained foreign gene expression Earlier this year, our study became one of the most-read and most-downloaded preprints in the world. Shortly thereafter, it was abruptly WIPED from the preprint sever AND ResearchGate. We identified that this unethical removal was likely the result of coordinated Bio-Pharmaceutical Complex pressure and PubPeer Mob attacks, intended to shield the deadly mRNA platform. Their efforts have failed miserably. Now, two things need to happen: 1. Immediate market withdrawal of the mRNA injections 2. Formal RICO investigations into the Academic Journal Cartel and its PubPeer enforcement apparatus
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🚨BREAKING: Our CENSORED Study Showing mRNA Injections Induce SEVERE Genetic Disruption Linked to Cancer and Chronic Disease Is Now on PUBMED We declare a MAJOR victory against the Journal Cartel. Using high-resolution RNA sequencing on blood samples, we discovered that COVID-19 “vaccines” SEVERELY disrupt expression of THOUSANDS of genes—triggering mitochondrial failure, immune reprogramming, and cancerous activity that can persist for MONTHS to YEARS post-injection. 🧬Differential gene expression analysis compared mRNA-injured patients (cancer, adverse events) to 803 healthy controls — revealing widespread transcriptomic CHAOS: ⚠️ Mitochondrial failure – Complex I breakdown, oxidative stress, energy collapse ⚠️ Immune reprogramming – Chronic inflammation, ACE2 suppression, TLR hyperactivation ⚠️ Oncogenic activation – MYC up, p53/KRAS down, DNA repair suppression ⚠️ Cellular stress – Ribosome overload, misfolded protein buildup, proteasome activation ⚠️ Epigenetic remodeling – Chromatin shifts, methylation changes, nucleosome displacement ⚠️ Reverse transcription suggested – Patterns consistent with LINE-1 activity and persistent plasmid DNA, raising concern for potential genomic integration or sustained foreign gene expression Earlier this year, our study became one of the most-read and most-downloaded preprints in the world. Shortly thereafter, it was abruptly WIPED from the preprint sever AND ResearchGate. We identified that this unethical removal was likely the result of coordinated Bio-Pharmaceutical Complex pressure and PubPeer Mob attacks, intended to shield the deadly mRNA platform. Their efforts have failed miserably. Now, two things need to happen: 1. Immediate market withdrawal of the mRNA injections 2. Formal RICO investigations into the Academic Journal Cartel and its PubPeer enforcement apparatus

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Flashback to when President Trump discussed his letter from Dr. Vladimir Zelenko (the "doctor from New York") and told the world that he was taking hydroxychloroquine. This early treatment approach would soon become known as the Zelenko Protocol. It combined HCQ, zinc and azithromycin and would later include vitamin C and a high Vitamin D dosage. This treatment was used by Dr. Zelenko on his patients during the initial Covid outbreak and it had an 84% reduction in hospitalization and death. This approach would later prove to be an effective prophylaxis as well. Trump simply mentioning this led to the media and some of the scientific community attacking hydroxychloroquine and trying to falsely claim that it was dangerous, despite it being one of the safest drugs in the history of mankind. The Lancet even published a COMPLETELY fraudulent study that was later retracted, but only after every single MSM outlet used it for their agenda. This twisted and evil effort to "prove" HCQ was ineffective and dangerous was one of the biggest disgraces in the history of medicine and science. Despite all of the agenda/driven sabotage, MILLIONS of people around the world used the Zelenko Protocol with great success/safety and many continue to do so now due to it's effectiveness at protecting and fighting against ALL single-stranded RNA viruses, not just Covid. "Flu, RSV, Marburg, and Ebola are single stranded RNA viruses that use similar pathways for replication. They use RNA dependent RNA polymerase (RDRP) to make copies of their genome." - Dr. Zelenko THANK YOU ZEV!
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Flashback to when President Trump discussed his letter from Dr. Vladimir Zelenko (the "doctor from New York") and told the world that he was taking hydroxychloroquine. This early treatment approach would soon become known as the Zelenko Protocol. It combined HCQ, zinc and azithromycin and would later include vitamin C and a high Vitamin D dosage. This treatment was used by Dr. Zelenko on his patients during the initial Covid outbreak and it had an 84% reduction in hospitalization and death. This approach would later prove to be an effective prophylaxis as well. Trump simply mentioning this led to the media and some of the scientific community attacking hydroxychloroquine and trying to falsely claim that it was dangerous, despite it being one of the safest drugs in the history of mankind. The Lancet even published a COMPLETELY fraudulent study that was later retracted, but only after every single MSM outlet used it for their agenda. This twisted and evil effort to "prove" HCQ was ineffective and dangerous was one of the biggest disgraces in the history of medicine and science. Despite all of the agenda/driven sabotage, MILLIONS of people around the world used the Zelenko Protocol with great success/safety and many continue to do so now due to it's effectiveness at protecting and fighting against ALL single-stranded RNA viruses, not just Covid. "Flu, RSV, Marburg, and Ebola are single stranded RNA viruses that use similar pathways for replication. They use RNA dependent RNA polymerase (RDRP) to make copies of their genome." - Dr. Zelenko THANK YOU ZEV!

Gain of Fauci

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A couple months back, the team and I were debating what was our most commonly used piece of software. We landed on Chromium. So we wanted to see if we could find live vulnerabilities in it with our AI. Today, I'm excited to share that not only did our AI find a live vulnerability in Chromium – which powers Google Chrome, Brave, Microsoft Edge, and other browsers – but we also found live bugs in Safari and Firefox. You can also find Octane Security in Chrome's latest stable release: Check out the video for the details...

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It’s heartbreaking to hear David R. Liu - the winner of the 2025 Breakthrough Prize in Life Sciences and one of the top leading scientists & innovators of our lifetime, describes during his conversation with Walter Isaacson the irreversible damages and the crisis caused from the loss of federal support of science in the US which jeopardise not only the recent clinical gene editing breakthroughs achieved in this field but the entire American dominance in Life sciences and technological innovation! The latest decision of the Trump administration and Elon Musk specifically to cut $4B yearly from all of NIH R&D grants to American universities will effect both science & medicine in the U.S and perhaps even worldwide. $XBI 🧵👇
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It’s heartbreaking to hear David R. Liu - the winner of the 2025 Breakthrough Prize in Life Sciences and one of the top leading scientists & innovators of our lifetime, describes during his conversation with Walter Isaacson the irreversible damages and the crisis caused from the loss of federal support of science in the US which jeopardise not only the recent clinical gene editing breakthroughs achieved in this field but the entire American dominance in Life sciences and technological innovation! The latest decision of the Trump administration and Elon Musk specifically to cut $4B yearly from all of NIH R&D grants to American universities will effect both science & medicine in the U.S and perhaps even worldwide. $XBI 🧵👇

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1️⃣ During the 18th TKDCD National Congress, supported by the unconditional scientific contributions of INVAMED, sessions were held to discuss innovative treatment solutions developed through the expertise and knowledge of Turkish scientists and cardiovascular surgeons. At INVAMED, we take pride in industrializing these advanced technologies while emphasizing the significant contributions of our scientists and surgeons in their development. Many of these innovations are protected by patents, which stand as a testament to the ingenuity and dedication of our research and clinical teams. It is a privilege to witness and contribute to such remarkable milestones that drive progress in science and technology. Here, we are delighted to share highlights from these impactful sessions through a series of video clips.

Raşit Dinç

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Our latest AI integration equips Reform with a causality-focused ML model that uncovers the mechanisms driving relationships between variables. By employing advanced algorithms, this method can detect “confounders”. A confounder is a variable that influences both the cause and effect variables being studied, which can distort the apparent relationship between them. The system uses a machine learning approach to identify and remove these confounders, which reveals genuine causal effects. This approach provides Reform with a more robust foundation for decision-making, enabling more effective guidance that addresses the root causes rather than superficial correlations. In addition to this, the AI integration includes models for forecasting precursor events and predicting prices, among other methods that enhance the system’s capabilities. Interested in diving deeper into these methods? Read our latest case study today.
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Our latest AI integration equips Reform with a causality-focused ML model that uncovers the mechanisms driving relationships between variables. By employing advanced algorithms, this method can detect “confounders”. A confounder is a variable that influences both the cause and effect variables being studied, which can distort the apparent relationship between them. The system uses a machine learning approach to identify and remove these confounders, which reveals genuine causal effects. This approach provides Reform with a more robust foundation for decision-making, enabling more effective guidance that addresses the root causes rather than superficial correlations. In addition to this, the AI integration includes models for forecasting precursor events and predicting prices, among other methods that enhance the system’s capabilities. Interested in diving deeper into these methods? Read our latest case study today.

Reform DAO

40,226 görüntüleme • 2 yıl önce

OFFICIAL ANNOUNCEMENT FROM THE DEV TEAM 🚨 The result of our Hackathon SendAI journey! After 13 days of focused development during the Solana AI Hackathon, we’re excited to share a teaser video showcasing ELYRAI. This video highlights the features we’ve integrated, which are now live on ELYRAI and accessible via our website. We’re also thrilled to announce the integration of key sponsors into our AI agents : 1️⃣ ai16zdao with Eliza OS, powering enhanced AI functionalities. ( Shaw ) 2️⃣ assisterr, powering our website chat and web extensions, integrating Elyrai into dApps. ( Nick Havryliak ) 3️⃣ Jupiter (🐱, 🐐) , guiding users on their platform through the ELYRAI web extension and a widget integrated into our website. ( meow Jakey ) Special thanks to Superteam France for their support during this hackathon ( Arthur Dietrich , Cptn | Ferno 🔥 Arnaud )
1:28

OFFICIAL ANNOUNCEMENT FROM THE DEV TEAM 🚨 The result of our Hackathon SendAI journey! After 13 days of focused development during the Solana AI Hackathon, we’re excited to share a teaser video showcasing ELYRAI. This video highlights the features we’ve integrated, which are now live on ELYRAI and accessible via our website. We’re also thrilled to announce the integration of key sponsors into our AI agents : 1️⃣ ai16zdao with Eliza OS, powering enhanced AI functionalities. ( Shaw ) 2️⃣ assisterr, powering our website chat and web extensions, integrating Elyrai into dApps. ( Nick Havryliak ) 3️⃣ Jupiter (🐱, 🐐) , guiding users on their platform through the ELYRAI web extension and a widget integrated into our website. ( meow Jakey ) Special thanks to Superteam France for their support during this hackathon ( Arthur Dietrich , Cptn | Ferno 🔥 Arnaud )

ELYRAI

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🚀 We're thrilled to introduce Orthrus 🧬🐕—a groundbreaking mature RNA foundation model designed to push the boundaries of RNA property prediction! 🔬 What is Orthrus? Orthrus is a Mamba-based RNA foundation model, pre-trained using a novel self-supervised contrastive learning objective with biologically inspired augmentations. It optimizes the similarity between splicing isoforms and orthologous transcripts, capturing functional and evolutionary relationships to enhance mature RNA property prediction accuracy. 📑 Preprint: 💻 Code: 🌐 Project Page: 📦 Model Weights: 🧠 Why Orthrus? Decoding the RNA regulatory code is key to understanding biology, but traditional experimental approaches are slow and costly. Existing genomic foundation models rely on techniques like masked language modeling or next-token prediction, which aren't fully aligned with the complexities of genomic data—leading to suboptimal results. 🌟 Orthrus Highlights: - Biologically-Informed Contrastive Learning 🧪: A novel contrastive learning objective designed specifically for genomics, maximizing similarity between splicing isoforms and orthologous transcripts across species. - Extensive Pre-training 📊: Trained on splicing annotations from 10 species and orthologous alignments from 400+ mammalian species (Zoonomia Project), with a focus on sequences of high functional importance. - Superior Representations🏅: Orthrus outperforms existing genomic models on 5 mRNA property prediction tasks, often surpassing supervised methods with just a simple linear transformation. - Efficiency in Low-Data Settings📉: Orthrus excels in low-data regimes, achieving state-of-the-art results with as few as 45 labeled examples for fine-tuning on RNA half-life prediction. Shoutout to the amazing leading authors Phil (Phil Fradkin) and Ian (Ian Shi)! Also the work is impossible without an outstanding collaboration by Karina (Karin(a) Isaev), Brendan (Brendan Frey) , Quaid (Quaid Morris), Leo J. Lee! Vector Institute University Health Network U of T Department of Computer Science Temerty Centre for AI in Medicine (T-CAIREM) Department of Laboratory Medicine & Pathobiology
0:53

🚀 We're thrilled to introduce Orthrus 🧬🐕—a groundbreaking mature RNA foundation model designed to push the boundaries of RNA property prediction! 🔬 What is Orthrus? Orthrus is a Mamba-based RNA foundation model, pre-trained using a novel self-supervised contrastive learning objective with biologically inspired augmentations. It optimizes the similarity between splicing isoforms and orthologous transcripts, capturing functional and evolutionary relationships to enhance mature RNA property prediction accuracy. 📑 Preprint: 💻 Code: 🌐 Project Page: 📦 Model Weights: 🧠 Why Orthrus? Decoding the RNA regulatory code is key to understanding biology, but traditional experimental approaches are slow and costly. Existing genomic foundation models rely on techniques like masked language modeling or next-token prediction, which aren't fully aligned with the complexities of genomic data—leading to suboptimal results. 🌟 Orthrus Highlights: - Biologically-Informed Contrastive Learning 🧪: A novel contrastive learning objective designed specifically for genomics, maximizing similarity between splicing isoforms and orthologous transcripts across species. - Extensive Pre-training 📊: Trained on splicing annotations from 10 species and orthologous alignments from 400+ mammalian species (Zoonomia Project), with a focus on sequences of high functional importance. - Superior Representations🏅: Orthrus outperforms existing genomic models on 5 mRNA property prediction tasks, often surpassing supervised methods with just a simple linear transformation. - Efficiency in Low-Data Settings📉: Orthrus excels in low-data regimes, achieving state-of-the-art results with as few as 45 labeled examples for fine-tuning on RNA half-life prediction. Shoutout to the amazing leading authors Phil (Phil Fradkin) and Ian (Ian Shi)! Also the work is impossible without an outstanding collaboration by Karina (Karin(a) Isaev), Brendan (Brendan Frey) , Quaid (Quaid Morris), Leo J. Lee! Vector Institute University Health Network U of T Department of Computer Science Temerty Centre for AI in Medicine (T-CAIREM) Department of Laboratory Medicine & Pathobiology

Bo Wang

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Our latest work is out today in Science Magazine: a self-organizing system that models organizer-driven patterning and commissural axon guidance in human neural development. This was achieved with human midline #assembloids by combining floor plate and spinal cord #organoids from pluripotent stem cells. A key advance is the three-part configuration (a floor plate squeezed in between two spinal cords), which enables human axons to cross the midline (and the subsequent synchronization of activity between the two parts seen in the video below). This platform opens the door to many applications; here, we used it to screen and identify human-enriched midline crossing regulators. Work led by Massimo Onesto with Neal Amin
0:26

Our latest work is out today in Science Magazine: a self-organizing system that models organizer-driven patterning and commissural axon guidance in human neural development. This was achieved with human midline #assembloids by combining floor plate and spinal cord #organoids from pluripotent stem cells. A key advance is the three-part configuration (a floor plate squeezed in between two spinal cords), which enables human axons to cross the midline (and the subsequent synchronization of activity between the two parts seen in the video below). This platform opens the door to many applications; here, we used it to screen and identify human-enriched midline crossing regulators. Work led by Massimo Onesto with Neal Amin

Sergiu P. Pasca

10,345 görüntüleme • 1 yıl önce