Brunet Lab @BrunetLab
Aging lab @Stanford - Epigenomics and metabolism in #aging; Brain aging and rejuvenation; Neural stem cells; C. elegans; African #killifish web.stanford.edu/group/brunet/ Stanford, CA Joined March 2010-
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Our new paper in @NatImmunol explores this question through PPARδ, a lipid-sensing transcription factor that we identify as a regulator of the #fitness balance between #cancer and #immune cells. You can read the open access paper here: nature.com/articles/s4159…
Brain vascular aging isn’t a single path. Our new work shows that the aging brain diverges into two states: 🧠 Hypovascular (expected) 🧠 Hypervascular (surprising), with BBB leakage, inflammation and cognitive decline. Our study👇🏻: biorxiv.org/content/10.648…
We recently introduced DISCO-seq 🤩: scRNA-seq after tissue clearing 🧬 biorxiv.org/content/10.648… First, image whole organs or bodies in 3D at cellular resolution. Then select regions for unbiased scRNA-seq. From glioblastoma to whole-body SARS-CoV-2 spike mapping 👇🏻 #DISCOseq
@AmarSahay_ Congratulations Amar and team!! Awesome work!! 🥂😎
Excited to share our discovery of a cognitive resilience sentinel in aging (Nature Neuroscience, Open Access nature.com/articles/s4159…) led by a terrific postdoc Cinzia Vicidomini PhD, other members of the Sahay lab and terrific collaborators. Background Healthy cognitive aging depends on a balance of resilience and vulnerability factors that dictate the tempo of synapse loss, lipid dysregulation, excitation-inhibition imbalance, ferroptosis, and neuroinflammation. Disruption of this balance accelerates cognitive decline and increases risk for MCI and Alzheimer’s disease (AD). Cognitive reserve theory posits the existence of compensatory factors in the aging brain that offset pathophysiological alterations; however, the identities of such factors have remained elusive. The discovery We discovered a secreted phospholipase, Pla2g2f, in a screen for synapse loss-induced genes in the Dentate Gyrus region of the hippocampus. We found that Pla2g2f expression is increased during perforant path synapse loss in aging and in aged cognitively resilient individuals with AD pathology. To study the functions of Pla2g2f, we employed genetic and viral approaches to bidirectionally manipulate levels of Pla2g2f in the hippocampus of aging mice. We found that Pla2g2f loss exacerbates aging-associated synapse loss, inflammatory microglia, reactive gliosis, impaired neurogenesis, lipid dysregulation, lipid droplet accumulation in neurons and microglia, and memory loss. Conversely, boosting levels of Pla2g2f during aging in mice is sufficient to prevent these pathophysiological alterations and protect memory. Remarkably, increasing Pla2g2f levels in middle-age prophylactically modified the trajectory of cognitive decline. In a human model system, we showed that neuronal PLA2G2F signaling reduced lipid droplet accumulation and cholesterol ester load in microglia, both signatures of AD (Alois Alzheimer, 1907). Impact and Translation Neuroinflammation is driven by pathological buildup of lipid droplets in microglia which impairs phagocytosis, debris clearance and synapse pruning, and produces toxic cytokines. Compensatory PLA2G2f upregulation confers neuroprotection through mobilization of lipid droplets, phospholipid remodeling, lipid signaling and potentially, ferroptosis suppression (Jiang lab, MSKCC). Much like EPO’s compensatory role in maintaining blood oxygen levels, we think that PLA2G2F is a sentinel to detect and protect synapses during aging. Boosting Pla2g2f levels in aging-sensitive knock-in AD models reduces lipid droplet accumulation in microglia, amyloid plaques and improves memory (preprint, unpublished, Sahay lab). Ongoing efforts are aimed at derisking therapeutic modalities to increase Pla2g2f expression in aging and AD to prevent memory decline. Big thanks to our terrific collaborators @chopralab, @LabSalta, Li-Huei Tsai and @MatBVictor, Shannan Ho Sui, Murakami and @SimonsFdn (The Simons Collaboration on Plasticity and the Aging Brain) for funding. #aging #cognition #resilience #healthspan Feedback and questions are welcome.
Check our new story on chromatin interactions and the activation of regeneration-responsive enhancers during African killifish and zebrafish fin regeneration. science.org/doi/10.1126/sc…
@maxim_artyomov Congratulations Maxim and team!! Awesome work! 🤩🥂
Out today in Immunity! Our pan-atlas of human immune aging: 12.4 million PBMCs from 2,609 people across 8 global cohorts (including new 188 people cohort from UK). cell.com/immunity/fullt… We map shared aging patterns onto 59 key immune populations and link the balance of GZMK+ and GZMB+ CD8 effector memory T cells to health trajectories; show differences in RTEs and Th2s with sex etc; ethnicity associated features. artyomovlab.wustl.edu/human-immune-a… How it came to be: in 2023 we published first hierarchically annotatied atlas of human immune aging in PBMC - 166 people, 55 populations, key changes revealed - CD8 naives, KLRC2/NKG2C+ CD8 memory going down, GZMK+ CD8 T cells and Th2 and Tc2 type 2 memory cells going up! (Terekhova et al, Immunity 2023) in 2024 we added major phenotypes within naive cells - SOX4+ RTE cells and their CD38 marker going down. (Bohacova et al, Immunity 2024) In 2025-26 more atlases published with their own annotations making impossible to leverage power of data.. Now we provide unique in its power and consistency resource - 2600 people across ages, sexes, races, continents etc. All annotated in sync and analyzed for what aging looks like globally!
This week we're releasing a preprint exploring state space models for long-sequence genomic prediction, alongside Cerberus, a set of open PyTorch models built on this work. biorxiv.org/content/10.648…
Thrilled to share that our work reconstructing a cell fate map of the mouse embryo is out now in @CellCellPress! doi.org/10.1016/j.cell…
Happy to share an exciting paper pnas.org/doi/10.1073/pn… by Dr. Bercin Cenik @bkcenik from our lab in collaboration with Vijay Ramani's lab @GladstoneInst @UCSFMedicine revealing how SETDB1 selectively silences specific retrotransposons, particularly ERVK and ERV1, while LINE/L1 elements follow a different regulatory molecular logic. Bercin used long-read RNA-seq and a telomere-to-telomere genomic information to uncover TE regulation at single-locus resolution, revealing that even elements within the same family can behave differently. The big takeaway for me is that Genome defense is not one-size-fits-all. Distinct transposable elements rely on different layers of epigenetic mechanisms to regulate repression. @NU_BMG_SQE @NUFeinbergMed @PNASNews @theNASciences @theNAMedicine #epigenetics #retrotransposons
@alexGioannidis @edwardhuangc @chrisoutho Congratulations to you and your team! So cool!! ✨🙌
My group's paper out on the cover of Science! Native Hawaiians are most closely related to the Rapanui of distant Easter Island 😮 Proud of it my students, the two co-first authors Cole Shanks & former MS student @edwardhuangc, and 3rd author @chrisoutho. science.org/eprint/4HAYG3K…
Exciting day for DNA Typewriter w/ 2 papers from the lab & SeaHub out today :) 1. Mouse lineage from E0 to E13.5 science.org/doi/10.1126/sc… 2. A fluctuation test for gastruloid heterogeneity cell.com/cell/fulltext/… Paper #1 covered in quoted thread. More on paper #2 here. 1/n
Thrilled to post thread re: new single-cell lineage of mouse embryo reconstructed w/ DNA Typewriter. One animal, zygote to late organogenesis (E13.5). Tree has 1,340,794 transcriptionally profiled, annotated tips (cells), 1,142,588 dated internal nodes, rooted at zygote 1/n
A team at Amsterdam UMC compared the fats in tissues from mice, worms, flies, and people. In all four, the fatty tails of membrane lipids get longer with age, and in worms, reversing that lengthening extended lifespan. One potential explanation is that membrane lipid makeup affects vulnerability to oxidative damage, though this paper doesn’t test that idea.
Today, our xenocortication work is on the cover of @Nature! accompanied by the Editorial and a News & Views (links 👇) Huge congratulations to our four co-first authors: @KaganovskyNeuro, @kevinwkelley (now Assistant Professor), Tilo Gschwind and Paul Harary, and to the entire team, including our close collaborators Brian Wandell, Julia Kaltschmidt, Ivan Soltesz and @KarlDeisseroth. #Xenocortex #Organoids #Neuroscience
A universal predictive model of the cell would dramatically accelerate science, allowing biologists to perform experiments digitally. Today we’re announcing a major partnership with the DOE and NIH. The goal of this partnership is to generate the data that will be needed to build an accurate model of the cell with artificial intelligence. Isomorphic, Google DeepMind, and Meta are joining us as founding partners in the Virtual Biology Initiative. This is the beginning of a large scale coordinated effort to map cellular biology to power the development of digital models of life. Other leading scientific institutions and consortia including the Allen Institute, Broad Institute, Gladstone Institutes, the Human Cell Atlas, the Human Protein Atlas, the Wellcome Sanger Institute, as well as NVIDIA, are working together as part of this international scientific project. Creating a predictive model of the cell is one of the most important challenges for the next decade of science. The insights that come from this could unlock a far greater understanding of disease, and open new paths for cures. We invite the worldwide scientific community and other funders to join us in this effort.
@KarlDeisseroth Congratulations Karl!! So well deserved!! ✨😎
Thanks to everyone sharing in this moment! I’m so grateful to my trainees & collaborators… dlab.stanford.edu/group-members (pic: optogenetics conference chairs, Tuscany) Reading for all those asking: for technical details: dlab.stanford.edu for everyone: deisseroth.org/projections
Matt Kaeberlein @mkaeberlein
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FrezzaLab @FrezzaLab
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Antebi Lab @AntebiLab
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Xiaoyan Zhu @XiaoyanZhu1
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Matt Kaeberlein @mkaeberlein
32K Followers 353 Following Husband, father, scientist, athlete (sort of), CEO, recovering academic. Passionate about helping people and companion animals live longer, healthier lives.
FrezzaLab @FrezzaLab
27K Followers 3K Following We are a group of metabolism-lovers, focused on mitochondrial metabolism. Tweets are from Christian. https://t.co/EbWsJo6DnZ
Aging Science News @AgingBiology
35K Followers 1 Following Latest news in the biology and genetics of aging, covering longevity science, rejuvenation technologies and life-extension research. Tweets by @jpsenescence
João Pedro de Magalh... @jpsenescence
21K Followers 2K Following Scientist planning to live forever (so far so good!), professor decoding the genome @unibirmingham, geek, entrepreneur, speaker, writer, keen footballer.
Lydia Finley @lydfinley
8K Followers 329 Following Cell biologist with an interest in pretty much everything
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4K Followers 1K Following Associate professor @USC Gero. French scientist. Aging, omics, immunity, sex-dimorphism. Views my own. She/her.
James Olzmann @OlzmannLab
11K Followers 6K Following Professor of Molecular Therapeutics and Metabolic Biology at UC Berkeley; Departments of Molecular & Cell Biology and Nutritional Sciences & Toxicology
John Lukens @LukensJohnR
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Michelle Monje 🟦 @michelle_monje
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Rutter Lab @RutterLab
10K Followers 672 Following Official Rutter Lab Twitter | @UUtah | @HHMINEWS | #MitoMonday | #Mitochondria, #Metabolism & other cool stuff. Jared's tweets are signed -JR. Views are ours
Antebi Lab @AntebiLab
3K Followers 374 Following Department of Molecular Genetics of Ageing, Max Planck Institute for Biology of Ageing | Tweets by @episarah87, @KoelschbachJ, @fetzli, by Adam are signed AA.
Morgan Levine @DrMorganLevine
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Long Lab @longlabstanford
4K Followers 929 Following Affiliated with @StanfordPath and @Stanford_ChemH. We study mammalian energy metabolism!
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3K Followers 601 Following Biologist, Professor @CECAD_ @UniCologne @UKKoeln. We study aging, age-related diseases, stem cell biology and proteostasis. @thevilchezlab.bsky.social
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Maxim Greenberg @maxvcg
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D. Allan Drummond @dallandrummond
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517 Followers 362 Following Endocrinologist-Scientist at @RockefellerUniv and @WeillCornell Latinoamericano 🇨🇴
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925 Followers 818 Following Assistant Professor @KeckMedUSC. Metabolism, aging and cloudy wine 🏳️🌈
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Allison Fitzgerald, M... @allisonoconn
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Shae McLaughlin @shae_mcl
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125 Followers 299 Following MB/PhD student - Neural Circuits & Immunity in Psychosis Lab @TheCrick @UCLMS
Lucas Tittle-Acosta�... @lucastja13
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Leanne Williams, PhD @LMWilliams_PhD
820 Followers 378 Following Director, Personalized & translational Neuroscience Lab @Stanford_PMHW Professor@StanfordMed for @StanfordPSY Neuroscience is personal, Precision Psychiatry.
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70 Followers 161 Following Machine Learning practitioner in the AI x Bio space @arcinstitute | ex @illumina, @carnegiemellon, @iitroorkee
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342 Followers 200 Following
Manuel Rivas @manuelrivascruz
400 Followers 928 Following Faculty at Stanford. Interest in human genetics, AI, entrepreneurship, statistical modeling. Fmr Maze Tx, HIBio. Advisor: Broadwing Bio, Braveheart Bio.
Bandy Chen @chen_bandy
88 Followers 320 Following UCSD MSTP, Neural Control of Energy Homeostasis + Mechanistic Link between Obesity and Neurodegeneration, Sung Han Lab
Leo Yuan @greatysp
459 Followers 573 Following Scientist @Altos_labs | Formerly stem cell and cancer @RockefellerUniv & airway biology @UCSF | Co-founder @ Aer Therapeutics | Theater & art lover | Adventurer
Khushboo Agrawal @Khushboo288
104 Followers 428 Following DST-INSPIRE Fellow RNA biology, Drosophila Genetics, Biomolecular aggregates, Mosquito development
Guido Wabnitz @GWabnitz
222 Followers 764 Following We study the life and death of neutrophils at the Institute of Immunology in Heidelberg. https://t.co/7uko77vwJa #NeutrophilPick
Nicolas Zucchet @NicolasZucchet
968 Followers 483 Following Postdoc @Stanford, prev. PhD @CSatETH | student researcher @GoogleDeepMind | @Polytechnique
Nikhil Patel @NikhilPatel1113
85 Followers 339 Following MD/PhD student @brangwynnelab @PrincetonMolBio
Bowen Zhang @B_Zhang117
77 Followers 282 Following PhD candidate at @rmkhokha lab in @MBPatUofT studying breast metabolism/epigenetics. Avid organoid-culturist. Chess enthusiast.
Swagata Goswami @SwagataGoswam16
252 Followers 507 Following Assistant Professor of Molecular Pharmacology @EinsteinMed @CDI_Einstein @theNCI Early K99/R00 Fellow
























