Introducing RegVelo: a novel framework that bridges gene regulatory networks and RNA splicing dynamics, enhancing insights into cellular fate transitions via deep learning! #RegVelo PMID:42119563, Cell 2026, @Cell https://www.cell.com/cell/fulltext/S0092-8674(26)00457-5 #Medsky #Pharmsky #RNA 🧪
https://www.cell.com/cell/fulltext/S0092-8674(26)00457-5
No description available
www.cell.com
September 25, 2026 at 5:00 AM
1/🚀 Excited to share RegVelo, our new cell model combining RNA velocity with gene regulatory network (GRN) dynamics to model cellular changes and predict in silico perturbations. Here's how it works and why it matters! 🧵👇
biorxiv.org/content/10.1101/2024.12.11.627935v1
biorxiv.org/content/10.1101/2024.12.11.627935v1
December 12, 2024 at 2:48 PM
1/🚀 Excited to share RegVelo, our new cell model combining RNA velocity with gene regulatory network (GRN) dynamics to model cellular changes and predict in silico perturbations. Here's how it works and why it matters! 🧵👇
biorxiv.org/content/10.1101/2024.12.11.627935v1
biorxiv.org/content/10.1101/2024.12.11.627935v1
RegVelo introduces an end-to-end generative framework that jointly infers gene regulatory networks and developmental dynamic @cellcellpress.bsky.social @saukaspengler.bsky.social @fabiantheis.bsky.social
www.cell.com/cell/fulltex...
www.cell.com/cell/fulltex...
May 12, 2026 at 7:31 PM
RegVelo introduces an end-to-end generative framework that jointly infers gene regulatory networks and developmental dynamic @cellcellpress.bsky.social @saukaspengler.bsky.social @fabiantheis.bsky.social
www.cell.com/cell/fulltex...
www.cell.com/cell/fulltex...
Excited to share our RegVelo paper in Cell
www.cell.com/cell/fulltex...
We unify RNA velocity + GRNs into one model → better OOD prediction of perturbations (e.g. gene KOs), with examples incl. neural crest KO predictions 🔬
Big thanks to W Wang, Z Hu & T Sauka-Spengler 🙏
www.cell.com/cell/fulltex...
We unify RNA velocity + GRNs into one model → better OOD prediction of perturbations (e.g. gene KOs), with examples incl. neural crest KO predictions 🔬
Big thanks to W Wang, Z Hu & T Sauka-Spengler 🙏
May 12, 2026 at 7:42 AM
Excited to share our RegVelo paper in Cell
www.cell.com/cell/fulltex...
We unify RNA velocity + GRNs into one model → better OOD prediction of perturbations (e.g. gene KOs), with examples incl. neural crest KO predictions 🔬
Big thanks to W Wang, Z Hu & T Sauka-Spengler 🙏
www.cell.com/cell/fulltex...
We unify RNA velocity + GRNs into one model → better OOD prediction of perturbations (e.g. gene KOs), with examples incl. neural crest KO predictions 🔬
Big thanks to W Wang, Z Hu & T Sauka-Spengler 🙏
Wang et al. unveil RegVelo, linking gene regulatory networks to RNA velocity, identifying key regulators influencing cell fate shifts. A game changer in cell-state prediction! PMID:42276033, Cell 2026, @Cell https://www.cell.com/cell/fulltext/S009286742600588X #Medsky #Pharmsky #RNA #ASHG #ESHG 🧪
https://www.cell.com/cell/fulltext/S009286742600588X
No description available
www.cell.com
September 27, 2026 at 12:00 AM
9/ Overall, RegVelo learns dynamic GRNs.
This work has been led by Ken Wang & Philipp Weiler in collab with Zhiyuan Hu & Tatjana Sauka Spengler from Uni Oxford, thanks for great interaction! Read at
biorxiv.org/content/10.1101/2024.12.11.627935v1 and code at github.com/theislab/regvelo
This work has been led by Ken Wang & Philipp Weiler in collab with Zhiyuan Hu & Tatjana Sauka Spengler from Uni Oxford, thanks for great interaction! Read at
biorxiv.org/content/10.1101/2024.12.11.627935v1 and code at github.com/theislab/regvelo
RegVelo: gene-regulatory-informed dynamics of single cells
RNA velocity has emerged as a popular approach for modeling cellular change along the phenotypic landscape but routinely omits regulatory interactions between genes. Conversely, methods that infer gen...
biorxiv.org
December 12, 2024 at 2:48 PM
9/ Overall, RegVelo learns dynamic GRNs.
This work has been led by Ken Wang & Philipp Weiler in collab with Zhiyuan Hu & Tatjana Sauka Spengler from Uni Oxford, thanks for great interaction! Read at
biorxiv.org/content/10.1101/2024.12.11.627935v1 and code at github.com/theislab/regvelo
This work has been led by Ken Wang & Philipp Weiler in collab with Zhiyuan Hu & Tatjana Sauka Spengler from Uni Oxford, thanks for great interaction! Read at
biorxiv.org/content/10.1101/2024.12.11.627935v1 and code at github.com/theislab/regvelo
RegVelo merges gene regulatory dynamics with RNA velocity, enabling deeper insights into cell fate transitions by modeling splicing kinetics and GRN interactions. PMID:42119563, Cell 2026, @Cell https://www.cell.com/cell/fulltext/S0092-8674(26)00457-5 #Medsky #Pharmsky #RNA #ASHG #ESHG 🧪
https://www.cell.com/cell/fulltext/S0092-8674(26)00457-5
No description available
www.cell.com
September 26, 2026 at 12:00 PM
'(...) gene regulatory network inference methods largely neglect the dynamic nature of biological systems. To overcome this conceptual disconnect, we present RegVelo, a bottom-up, actionable & interpretable deep learning framework that jointly models splicing kinetics & gene regulatory interactions'
RegVelo: Gene-regulatory-informed dynamics of single cells
RegVelo introduces an end-to-end generative framework that jointly infers gene regulatory
networks and developmental dynamics. It serves as an actionable in silico “cell,”
enabling researchers to simu...
www.cell.com
June 9, 2026 at 11:17 AM
'(...) gene regulatory network inference methods largely neglect the dynamic nature of biological systems. To overcome this conceptual disconnect, we present RegVelo, a bottom-up, actionable & interpretable deep learning framework that jointly models splicing kinetics & gene regulatory interactions'
RegVelo, an #AI model developed by an international team including researchers in the @saukaspengler.bsky.social Lab, helps identify the genes that influence how cells develop and change over time – highlighted by the Chosun Daily as a promising advance for regenerative medicine: bit.ly/4e2o9kF
RegVelo AI Predicts Cell Fate and Key Genes
RegVelo AI Predicts Cell Fate and Key Genes RegVelo aids regenerative medicine, cancer research by identifying gene drivers
bit.ly
June 4, 2026 at 10:10 PM
RegVelo, an #AI model developed by an international team including researchers in the @saukaspengler.bsky.social Lab, helps identify the genes that influence how cells develop and change over time – highlighted by the Chosun Daily as a promising advance for regenerative medicine: bit.ly/4e2o9kF
Now online! RegVelo: Gene-regulatory-informed dynamics of single cells
RegVelo: Gene-regulatory-informed dynamics of single cells
RegVelo introduces an end-to-end generative framework that jointly infers gene regulatory networks and developmental dynamics. It serves as an actionable in silico “cell,” enabling researchers to simulate regulatory perturbations and generate testable hypotheses about the mechanisms underlying cell fate decisions.
dlvr.it
May 12, 2026 at 12:42 PM
Now online! RegVelo: Gene-regulatory-informed dynamics of single cells
What if #AI could predict a cell's future?
Researchers at the Institute and @helmholtzmunich.bsky.social are working toward that with RegVelo—an AI tool that helps reveal where cells are headed and what drives their fate.
On #WorldAIDay, explore how AI is advancing #biology⬇️
bit.ly/4f7jlvZ
Researchers at the Institute and @helmholtzmunich.bsky.social are working toward that with RegVelo—an AI tool that helps reveal where cells are headed and what drives their fate.
On #WorldAIDay, explore how AI is advancing #biology⬇️
bit.ly/4f7jlvZ
New AI Tool RegVelo Predicts Cell Fate & Gene Regulation | Stowers
Stowers researchers unveil RegVelo, an AI tool predicting how cells change and identifying gene regulators to advance regenerative medicine.
bit.ly
July 16, 2026 at 5:56 PM
What if #AI could predict a cell's future?
Researchers at the Institute and @helmholtzmunich.bsky.social are working toward that with RegVelo—an AI tool that helps reveal where cells are headed and what drives their fate.
On #WorldAIDay, explore how AI is advancing #biology⬇️
bit.ly/4f7jlvZ
Researchers at the Institute and @helmholtzmunich.bsky.social are working toward that with RegVelo—an AI tool that helps reveal where cells are headed and what drives their fate.
On #WorldAIDay, explore how AI is advancing #biology⬇️
bit.ly/4f7jlvZ
AI Model Makes Developmental Paths of Cells Traceable
An international research team, led by Prof. Fabian Theis, #HelmholtzMunich & @tum.de, has developed #RegVelo, an #AI-based model that can reconstruct developmental paths of cells.
👉 t1p.de/r6wgl
#VirtualCell
An international research team, led by Prof. Fabian Theis, #HelmholtzMunich & @tum.de, has developed #RegVelo, an #AI-based model that can reconstruct developmental paths of cells.
👉 t1p.de/r6wgl
#VirtualCell
May 12, 2026 at 4:36 AM
AI Model Makes Developmental Paths of Cells Traceable
An international research team, led by Prof. Fabian Theis, #HelmholtzMunich & @tum.de, has developed #RegVelo, an #AI-based model that can reconstruct developmental paths of cells.
👉 t1p.de/r6wgl
#VirtualCell
An international research team, led by Prof. Fabian Theis, #HelmholtzMunich & @tum.de, has developed #RegVelo, an #AI-based model that can reconstruct developmental paths of cells.
👉 t1p.de/r6wgl
#VirtualCell
New work by @fabiantheis.bsky.social & colleagues in @cp-cell.bsky.social
Gene-regulatory-informed dynamics of single cells
🧪🧬
www.cell.com/cell/fulltex...
Gene-regulatory-informed dynamics of single cells
🧪🧬
www.cell.com/cell/fulltex...
RegVelo: Gene-regulatory-informed dynamics of single cells
RegVelo introduces an end-to-end generative framework that jointly infers gene regulatory
networks and developmental dynamics. It serves as an actionable in silico “cell,”
enabling researchers to simu...
www.cell.com
May 12, 2026 at 6:31 PM
New work by @fabiantheis.bsky.social & colleagues in @cp-cell.bsky.social
Gene-regulatory-informed dynamics of single cells
🧪🧬
www.cell.com/cell/fulltex...
Gene-regulatory-informed dynamics of single cells
🧪🧬
www.cell.com/cell/fulltex...
Wang et al. unveil RegVelo, a groundbreaking tool that integrates gene regulatory networks with RNA velocity, identifying 7 key regulators influencing cell fate changes! PMID:42276033, Cell 2026, @Cell https://www.cell.com/cell/fulltext/S009286742600588X #Medsky #Pharmsky #RNA #ASHG #ESHG 🧪
https://www.cell.com/cell/fulltext/S009286742600588X
No description available
www.cell.com
September 25, 2026 at 12:00 AM
Wang et al. unveil RegVelo, integrating gene regulatory networks with RNA velocity to reveal 100+ candidate regulators that shape cell fate transitions. Exciting advancements! PMID:42276033, Cell 2026, @Cell https://www.cell.com/cell/fulltext/S009286742600588X #Medsky #Pharmsky #RNA #ASHG #ESHG 🧪
https://www.cell.com/cell/fulltext/S009286742600588X
No description available
www.cell.com
September 20, 2026 at 4:00 AM
(1/2) 🧵 What tells a cell what to become?
New #research from @saukaspengler.bsky.social & @fabiantheis.bsky.social
@helmholtzmunich.bsky.social @ox.ac.uk published in Cell explores how gene regulatory networks guide cell fate — using a new #AI framework the team developed called RegVelo.
New #research from @saukaspengler.bsky.social & @fabiantheis.bsky.social
@helmholtzmunich.bsky.social @ox.ac.uk published in Cell explores how gene regulatory networks guide cell fate — using a new #AI framework the team developed called RegVelo.
May 11, 2026 at 4:06 PM
(1/2) 🧵 What tells a cell what to become?
New #research from @saukaspengler.bsky.social & @fabiantheis.bsky.social
@helmholtzmunich.bsky.social @ox.ac.uk published in Cell explores how gene regulatory networks guide cell fate — using a new #AI framework the team developed called RegVelo.
New #research from @saukaspengler.bsky.social & @fabiantheis.bsky.social
@helmholtzmunich.bsky.social @ox.ac.uk published in Cell explores how gene regulatory networks guide cell fate — using a new #AI framework the team developed called RegVelo.
Wang et al. unveil RegVelo, linking gene regulatory networks to RNA velocity, enhancing predictions of cell fate by identifying key regulators. #RNAvelocity #RegVelo PMID:42276033, Cell 2026, @Cell https://www.cell.com/cell/fulltext/S009286742600588X #Medsky #Pharmsky #RNA #ASHG #ESHG 🧪
https://www.cell.com/cell/fulltext/S009286742600588X
No description available
www.cell.com
August 5, 2026 at 6:00 AM
Wang et al. unveil RegVelo, linking gene regulatory networks to RNA velocity, enhancing predictions of cell fate by identifying key regulators. #RNAvelocity #RegVelo PMID:42276033, Cell 2026, @Cell https://www.cell.com/cell/fulltext/S009286742600588X #Medsky #Pharmsky #RNA #ASHG #ESHG 🧪
6/ We further applied RegVelo to zebrafish neural crest development, generating new single-cell experiments (Smart-Seq3, 10x, Perturb-seq). Using RegVelo, we identified tfec & elf1 as key regulators for the pigment lineage and experimentally validated their roles. 🐟
December 12, 2024 at 2:48 PM
6/ We further applied RegVelo to zebrafish neural crest development, generating new single-cell experiments (Smart-Seq3, 10x, Perturb-seq). Using RegVelo, we identified tfec & elf1 as key regulators for the pigment lineage and experimentally validated their roles. 🐟
7/ Why it matters:
RegVelo isn’t just about modeling—it’s actionable.
It allows systematic in silico perturbations of cell dynamics that can guide experimental designs and uncover mechanisms driving cellular fate. 🚀
RegVelo isn’t just about modeling—it’s actionable.
It allows systematic in silico perturbations of cell dynamics that can guide experimental designs and uncover mechanisms driving cellular fate. 🚀
December 12, 2024 at 2:48 PM
7/ Why it matters:
RegVelo isn’t just about modeling—it’s actionable.
It allows systematic in silico perturbations of cell dynamics that can guide experimental designs and uncover mechanisms driving cellular fate. 🚀
RegVelo isn’t just about modeling—it’s actionable.
It allows systematic in silico perturbations of cell dynamics that can guide experimental designs and uncover mechanisms driving cellular fate. 🚀
8/ What sets RegVelo apart?
• Interpretability: Models splicing kinetics + GRNs together.
• Actionability: Enables predictions of gene interactions & perturbation outcomes.
• Dynamic insights: Captures GRN changes over time.
• Interpretability: Models splicing kinetics + GRNs together.
• Actionability: Enables predictions of gene interactions & perturbation outcomes.
• Dynamic insights: Captures GRN changes over time.
December 12, 2024 at 2:48 PM
8/ What sets RegVelo apart?
• Interpretability: Models splicing kinetics + GRNs together.
• Actionability: Enables predictions of gene interactions & perturbation outcomes.
• Dynamic insights: Captures GRN changes over time.
• Interpretability: Models splicing kinetics + GRNs together.
• Actionability: Enables predictions of gene interactions & perturbation outcomes.
• Dynamic insights: Captures GRN changes over time.
4/ How does RegVelo perform?
We validated RegVelo on:
• Simulated & cell-cycle data (with ground truth)
• Murine pancreatic endocrinogenesis
• Human hematopoiesis
• Zebrafish development
It faithfully maps cellular changes & identifies lineage drivers! 🔬
We validated RegVelo on:
• Simulated & cell-cycle data (with ground truth)
• Murine pancreatic endocrinogenesis
• Human hematopoiesis
• Zebrafish development
It faithfully maps cellular changes & identifies lineage drivers! 🔬
December 12, 2024 at 2:48 PM
4/ How does RegVelo perform?
We validated RegVelo on:
• Simulated & cell-cycle data (with ground truth)
• Murine pancreatic endocrinogenesis
• Human hematopoiesis
• Zebrafish development
It faithfully maps cellular changes & identifies lineage drivers! 🔬
We validated RegVelo on:
• Simulated & cell-cycle data (with ground truth)
• Murine pancreatic endocrinogenesis
• Human hematopoiesis
• Zebrafish development
It faithfully maps cellular changes & identifies lineage drivers! 🔬
Introducing RegVelo: a groundbreaking deep learning framework that synergizes splicing kinetics with gene regulatory interactions, enhancing understanding of cell fate transitions. PMID:42119563, Cell 2026, @Cell https://www.cell.com/cell/fulltext/S0092-8674(26)00457-5 #Medsky #Pharmsky #RNA #ASHG 🧪
https://www.cell.com/cell/fulltext/S0092-8674(26)00457-5
No description available
www.cell.com
July 16, 2026 at 5:00 AM
Introducing RegVelo: a groundbreaking deep learning framework that synergizes splicing kinetics with gene regulatory interactions, enhancing understanding of cell fate transitions. PMID:42119563, Cell 2026, @Cell https://www.cell.com/cell/fulltext/S0092-8674(26)00457-5 #Medsky #Pharmsky #RNA #ASHG 🧪
RegVelo integrates splicing kinetics and gene regulatory networks, enhancing RNA velocity models to reveal cellular dynamics and fate transitions with greater mechanistic insight. PMID:42119563, Cell 2026, @Cell https://www.cell.com/cell/fulltext/S0092-8674(26)00457-5 #Medsky #Pharmsky #RNA #ASHG 🧪
https://www.cell.com/cell/fulltext/S0092-8674(26)00457-5
No description available
www.cell.com
August 30, 2026 at 11:00 PM
Wang et al. unveil RegVelo, a novel framework that integrates gene regulatory networks into RNA velocity analysis, pinpointing potential regulators influencing cell fate changes. PMID:42276033, Cell 2026, @Cell https://www.cell.com/cell/fulltext/S009286742600588X #Medsky #Pharmsky #RNA #ASHG #ESHG 🧪
https://www.cell.com/cell/fulltext/S009286742600588X
No description available
www.cell.com
July 30, 2026 at 2:00 AM
Wang et al. unveil RegVelo, a novel framework that integrates gene regulatory networks into RNA velocity analysis, pinpointing potential regulators influencing cell fate changes. PMID:42276033, Cell 2026, @Cell https://www.cell.com/cell/fulltext/S009286742600588X #Medsky #Pharmsky #RNA #ASHG #ESHG 🧪
Introducing RegVelo: a novel deep learning framework that integrates splicing kinetics & gene regulatory networks to enhance understanding of cell fate transitions! Key insight: it connects regulatory… PMID:42119563, Cell 2026, @Cell https://www.cell.com/cell/fulltext/S0092-8674(26)00457-5 #Medsky 🧪
https://www.cell.com/cell/fulltext/S0092-8674(26)00457-5
No description available
www.cell.com
July 12, 2026 at 5:00 PM
Introducing RegVelo: a novel deep learning framework that integrates splicing kinetics & gene regulatory networks to enhance understanding of cell fate transitions! Key insight: it connects regulatory… PMID:42119563, Cell 2026, @Cell https://www.cell.com/cell/fulltext/S0092-8674(26)00457-5 #Medsky 🧪