Eighteen million years of diverse enamel proteomes from the East African Rift | Nature
Research into the palaeobiology of extinct taxa through ancient DNA and proteomics has been mostly limited to Plio-Pleistocene fossils1–9, due to molecular breakdown over time, which is exacerbated in tropical settings1–3. Here we sample small proteomes from the interior enamel of fossils at palaeontological sites from the Pleistocene to the Oligocene in the Turkana Basin, Kenya, which has produced a rich record of Cenozoic mammalian evolution10. Through a mass-spectrometry-based proteomic workflow, and using criteria to locate diagenetiforms derived from enamel, we recover fragments of enamelin, ameloblastin, matrix metalloprotease-20 and dentin matrix acidic phosphoprotein 1 from an Early Miocene rhinocerotid and several proboscideans collected from the sites of Buluk (16 million years ago; Ma) and Loperot (18 Ma). Diagenetiform counts decline in progressively older fossils, and we observe variability in Early Miocene preservation across sites. Phylogenetic analyses reveal the contri
Discovering 18M years of enamel proteomes in Kenya's Turkana Basin offers new insights into mammalian evolution, breaking limits in ancient biomolecule research! PMID:40634615, Nature 2025, @Nature https://doi.org/10.1038/s41586-025-09040-9 #Medsky #Pharmsky #RNA #ASHG #ESHG 🧪
06.08.2025 00:10 — 👍 0 🔁 0 💬 0 📌 0
How stem cells respond to infection, inflammation and ageing | Nature Reviews Immunology
Stem cells maintain tissue architecture by replacing differentiated cells at steady state and upon injury. Implementing this cornerstone role requires protection of stem cells from pathogens and from the toxic effects of immune system activation. However, the pro-inflammatory innate immune mechanisms that protect differentiated cells from infection are poorly functional in stem cells. Instead, stem cells employ other specific defence mechanisms, such as antiviral RNA interference. At steady state, the proliferation and differentiation of tissue stem cells is regulated by multiple cell types, including immune cells. Following sterile tissue injury or during infection, the immune response — in addition to controlling pathogens and clearing cell debris — orchestrates tissue repair by fine-tuning stem cell activity, through direct cell–cell contacts and via inflammatory mediators such as cytokines. There is thus stem–immune cross-talk that is fundamental to the maintenance of tissue homeos
Stem cells replace cells but need protection from pathogens. Their pro-inflammatory defenses are limited, using RNAi instead. PMID:40707693, Nat Rev Immunol 2025, @NatRevImmunol https://doi.org/10.1038/s41577-025-01203-z #Medsky #Pharmsky #RNA #ASHG #ESHG 🧪
05.08.2025 12:10 — 👍 3 🔁 0 💬 0 📌 0
A role for microglia in mediating the microbiota–gut–brain axis | Nature Reviews Immunology
Microglia, the resident immune cells of the brain, are now recognized as being active participants in the onset and progression of many neurological and neuropsychiatric disorders. As a result, substantial effort has been made in finding ways to target, deplete or modulate the aberrant phenotypes of the microglia that are present in these different disease states, albeit with varied levels of success. The gut microbiota has recently emerged as a master regulator of microglia throughout the lifespan; here, we propose that this microbiota–microglia cross-talk may have major implications for our understanding of neurological disorders and neuropsychiatric diseases. We focus on the latest advances in understanding gut–microglia communication in the context of microglial heterogeneity and microglia-related functions, as well as considering the evidence for effects of these pathways on diseases and disorders of the central nervous system. We also address the challenges, opportunities and cli
Microglia, brain's immune cells, influenced by gut microbiota, play roles in neurological disorders. Potential target for therapy. PMID:40506470, Nat Rev Immunol 2025, @NatRevImmunol https://doi.org/10.1038/s41577-025-01188-9 #Medsky #Pharmsky #RNA #ASHG #ESHG 🧪
05.08.2025 04:10 — 👍 18 🔁 5 💬 0 📌 0
https://www.cell.com/ajhg/fulltext/S0002-9297(25)00006-0
No description available
5 authors reveal misattributed paternity (MP) findings, critiquing 15 guidelines from medical organizations for 10 key hazards. #MPDiscovery PMID:39904342, Am J Hum Genet 2025, @AJHGNews https://www.cell.com/ajhg/fulltext/S0002-9297(25)00006-0 #Medsky #Pharmsky #RNA #ASHG #ESHG 🧪
05.08.2025 02:10 — 👍 2 🔁 0 💬 0 📌 0
https://doi.org/10.1093/nar/gkaf373
No description available
Explore L2S2, a web tool featuring 1.678M gene sets from 248 cell lines affected by 33,621 compounds & 7,508 CRISPR KOs. Discover insights fast! PMID:40308216, Nucleic Acids Res 2025, @NAR_Open https://doi.org/10.1093/nar/gkaf373 #Medsky #Pharmsky #RNA #ASHG #ESHG 🧪
05.08.2025 00:10 — 👍 3 🔁 0 💬 0 📌 0
https://doi.org/10.1126/science.ado2403
No description available
Polyglycine aggregates disrupted tRNA processing in GGC repeat disorders by incorporating FAM98B, affecting neurodegeneration. PMID:40674500, Science 2025, @ScienceMagazine https://doi.org/10.1126/science.ado2403 #Medsky #Pharmsky #RNA #ASHG #ESHG 🧪
04.08.2025 11:10 — 👍 5 🔁 0 💬 0 📌 0
Labelizer: systematic selection of protein residues for covalent fluorophore labeling | Nature Communications
Attaching fluorescent dyes to biomolecules is essential for assays in biology, biochemistry, biophysics, biomedicine and imaging. A systematic approach for the selection of suitable labeling sites in macromolecules, particularly proteins, is missing. We present a quantitative strategy to identify such protein residues using a naïve Bayes classifier. Analysis of >100 proteins with ~400 successfully labeled residues allows to identify four parameters, which can rank residues via a single metric (the label score). The approach is tested and benchmarked by inspection of literature data and experiments on the expression level, degree of labelling, and success in FRET assays of different bacterial substrate binding proteins. With the paper, we provide a python package and webserver ( https://labelizer.bio.lmu.de/ ), that performs an analysis of a pdb-structure (or model), label score calculation, and FRET assay scoring. The approach can facilitate to build up a central open-access databas
Discover a method to select protein sites for dye labeling using a Naïve Bayes classifier. Analyzed 100+ proteins and ~400 residues for optimal picks. PMID:40319045, Nat Commun 2025, @NatureComms https://doi.org/10.1038/s41467-025-58602-y #Medsky #Pharmsky #RNA #ASHG #ESHG 🧪
03.08.2025 17:00 — 👍 5 🔁 0 💬 0 📌 0
https://doi.org/10.1126/science.adr8063
No description available
Innovative approach creates proteins targeting 39 diverse intrinsically disordered regions, unlocking new potential in complex systems! PMID:40674483, Science 2025, @ScienceMagazine https://doi.org/10.1126/science.adr8063 #Medsky #Pharmsky #RNA #ASHG #ESHG 🧪
03.08.2025 12:10 — 👍 6 🔁 1 💬 0 📌 0
Identifying fibroblast-derived sFRP2 as a therapeutic target and engineering siRNA therapy for uterine scarring | Nature Communications
Uterine scarring is a common complication following uterine injury, characterized by abnormal wound healing in the endometrial or myometrial tissue. However, the underlying mechanisms contributing to scar formation remain unclear, impeding the development of effective drugs for uterine scarring. Here, we identify that secreted frizzled-related protein 2 (sFRP2) is highly expressed in human and mouse uterine tissues with uterine scarring, particularly in uterine fibroblasts. Using female mouse models, we demonstrate that sFRP2 overexpression in the healthy uterus induces uterine scarring features and exacerbates surgery-induced fibrosis, while sFRP2 knockdown inhibits uterine scarring development and fibrotic transformation in uterine fibroblasts, highlighting the pivotal role of sFRP2 as an initiating driver in uterine scarring pathogenesis. Mechanistically, sFRP2 promotes uterine scar formation by activating the non-canonical Wnt signaling pathway and calcium influx in uterine fibrobl
Discovering that sFRP2 is highly expressed in uterine scarring, a potential drug target emerges! siRNA therapy may revolutionize treatment. Your thoughts? PMID:40715133, Nat Commun 2025, @NatureComms https://doi.org/10.1038/s41467-025-62248-1 #Medsky #Pharmsky #RNA #ASHG #ESHG 🧪
03.08.2025 04:10 — 👍 5 🔁 0 💬 0 📌 0
Cryo-EM structure of native honey bee vitellogenin | Nature Communications
Vitellogenin (Vg) is the main yolk precursor lipoprotein in almost all egg-laying animals. In addition, along its evolutionary history, Vg has developed a range of new functions in different taxa. In the honey bee, Vg has functions related to immunity, antioxidant protection, social behavior and longevity. However, the molecular mechanisms underlying Vg functionalities are still poorly understood. Here, we report the cryo-EM structure of full-length honey bee Vg, one-step purified directly from hemolymph. The structure provides structural insights into the overall domain architecture, including the lipid binding cavity and the previously uncharacterized von Willebrand factor type D domain. A domain of unknown function has been identified as a C-terminal cystine knot domain based on structural homology. Information about post-translational modifications, cleavage products, metal and lipid binding allow an improved understanding of the mechanisms underlying the range of Vg functionalitie
Discover the cryo-EM structure of honey bee vitellogenin, revealing insights into its roles in immunity, antioxidant defense, behavior, & longevity. PMID:40593495, Nat Commun 2025, @NatureComms https://doi.org/10.1038/s41467-025-58575-y #Medsky #Pharmsky #RNA #ASHG #ESHG 🧪
03.08.2025 02:10 — 👍 18 🔁 5 💬 1 📌 0
https://doi.org/10.1001/jamadermatol.2025.0819
No description available
Economic analysis shows hidradenitis suppurativa unroofing costs rose from 2005 to 2020, critical amid rising medical inflation. PMID:40332903, JAMA Dermatol 2025 https://doi.org/10.1001/jamadermatol.2025.0819 #Medsky #Pharmsky #RNA #ASHG #ESHG 🧪
03.08.2025 00:10 — 👍 2 🔁 1 💬 0 📌 0
https://doi.org/10.1093/nar/gkaf406
No description available
Discover BEscreen: a dynamic tool for designing sgRNA libraries for base editing. Create scalable, versatile genetic screens today! PMID:40384567, Nucleic Acids Res 2025, @NAR_Open https://doi.org/10.1093/nar/gkaf406 #Medsky #Pharmsky #RNA #ASHG #ESHG 🧪
02.08.2025 15:00 — 👍 0 🔁 0 💬 0 📌 0
https://www.cell.com/ajhg/fulltext/S0002-9297(25)00147-8
No description available
Surveying 50+ NHS clinical scientists at CanVIG-UK revealed barriers to MAVE adoption: 85% citing need for robust validation! #Genetics PMID:40480200, Am J Hum Genet 2025, @AJHGNews https://www.cell.com/ajhg/fulltext/S0002-9297(25)00147-8 #Medsky #Pharmsky #RNA #ASHG #ESHG 🧪
02.08.2025 09:10 — 👍 0 🔁 0 💬 0 📌 0
The Virtual Lab of AI agents designs new SARS-CoV-2 nanobodies | Nature
Science frequently benefits from teams of interdisciplinary researchers1–3, but many scientists do not have easy access to experts from multiple fields4,5. While large language models (LLMs) have shown an impressive ability to aid researchers across diverse domains, their uses have been largely limited to answering specific scientific questions rather than performing open-ended research6–11. Here, we expand the capabilities of LLMs for science by introducing the Virtual Lab, an AI-human research collaboration to perform sophisticated, interdisciplinary science research. The Virtual Lab consists of an LLM principal investigator agent guiding a team of LLM scientist agents through a series of research meetings, with a human researcher providing high-level feedback. We apply the Virtual Lab to design nanobody binders to recent variants of SARS-CoV-2. The Virtual Lab creates a novel computational nanobody design pipeline that incorporates ESM, AlphaFold-Multimer, and Rosetta and designs 92
AI agents developed in a virtual lab design new SARS-CoV-2 nanobodies. This innovation overcomes interdisciplinary barriers, enhancing research collaboration. PMID:40730228, Nature 2025, @Nature https://doi.org/10.1038/s41586-025-09442-9 #Medsky #Pharmsky #RNA #ASHG #ESHG 🧪
02.08.2025 08:10 — 👍 2 🔁 1 💬 1 📌 0
A microRNA-based dynamic risk score for type 1 diabetes | Nature Medicine
Identifying individuals at high risk of type 1 diabetes (T1D) is crucial as disease-delaying medications are available. Here we report a microRNA (miRNA)-based dynamic (responsive to the environment) risk score developed using multicenter, multiethnic and multicountry (‘multicontext’) cohorts for T1D risk stratification. Discovery (wet and dry lab) analysis identified 50 miRNAs associated with functional β cell loss, which is a hallmark of T1D. These miRNAs measured across n = 2,204 individuals from four contexts (4C: Australia, Denmark, Hong Kong SAR People’s Republic of China, India) led to a four-context, miRNA-based dynamic risk score (DRS) that effectively stratified individuals with and without T1D. Generative artificial intelligence was used to create an enhanced four-context, miRNA-based DRS, which offered good predictive power (area under the curve = 0.84) for T1D stratification in a separate multicontext validation dataset (n = 662), and accurately predicted future exogenous
Study unveils a dynamic miRNA-based risk score for T1D. Analyzing 50 miRNAs, it offers improved risk stratification across diverse cohorts. PMID:40473952, Nat Med 2025, @NatureMedicine https://doi.org/10.1038/s41591-025-03730-7 #Medsky #Pharmsky #RNA #ASHG #ESHG 🧪
02.08.2025 05:10 — 👍 5 🔁 4 💬 0 📌 0
Neoadjuvant ARX788 plus pyrotinib versus trastuzumab, pertuzumab, docetaxel and carboplatin for HER2-positive breast cancer: a randomised phase 2b trial | Nature Communications
Antibody-drug conjugates (ADCs) and tyrosine kinase inhibitors (TKIs) are widely used for HER2-positive metastatic breast cancer, but their efficacy in the neoadjuvant setting remains under investigation. The MUKDEN 06 trial (NCT05426486), a multicentre, randomised, phase 2b study, compared ARX788 (anti-HER2 ADC) plus pyrotinib (TKI) with the standard neoadjuvant regimen of docetaxel, carboplatin, trastuzumab, and pertuzumab (TCbHP) in female patients with early or locally advanced HER2-positive breast cancer. The primary endpoint was the pathological complete response (pCR, ypT0/is, ypN0) rate, analyzed in the intention-to-treat population. pCR was achieved in 70.6% (48/68) of patients receiving ARX788 plus pyrotinib, compared to 51.5% (35/68) in the TCbHP group, with a significant absolute difference of 19.1% (95% CI, 2.7–34.6; p = 0.023). No treatment-related deaths occurred. The most common grade 3–4 adverse events were diarrhea and hepatic dysfunction in the ARX788 plus pyrotinib
MUKDEN 06 trial: ARX788 + Pyrotinib vs. TCbHP for HER2+ breast cancer in neoadjuvant setting. Phase 2b results: promising efficacy and safety. PMID:40593759, Nat Commun 2025, @NatureComms https://doi.org/10.1038/s41467-025-61213-2 #Medsky #Pharmsky #RNA #ASHG #ESHG 🧪
02.08.2025 01:10 — 👍 2 🔁 2 💬 0 📌 0
Phase separation instead of binding strength determines target specificities of MAGUKs | Nature Chemical Biology
Homologous proteins often have distinct functions, even if they share overlapping binding targets. PSD-95 and MAGI-2, two membrane-associated guanylate kinase (MAGUK)-family scaffolds in neuronal synapses, exemplify this. With unknown mechanisms, the two MAGUKs are localized at distinct subsynaptic compartments with PSD-95 inside the postsynaptic density (PSD) and MAGI-2 outside. Here we demonstrate that MAGI-2 forms condensates through phase separation. When coexisting with PSD proteins, the MAGI-2 condensate can enrich the extrasynaptic N-cadherin–β-catenin adhesion complex and the MAGI-2 condensates are immiscible with the PSD-95 condensates. Surprisingly, phosphorylated SAPAP is selectively enriched in the PSD-95 condensate, even though it binds to MAGI-2 with a higher affinity. The specific localization of SAPAP is because of the higher network complexities of the PSD-95-containing condensate than the MAGI-2 condensate. Thus, phase-separation-mediated molecular condensate formatio
Discover how MAGUKs differentiate: phase separation, not binding strength, guides target specificity. PSD-95 & MAGI-2 roles decoded! PMID:40494974, Nat Chem Biol 2025, @nchembio https://doi.org/10.1038/s41589-025-01925-0 #Medsky #Pharmsky #RNA #ASHG #ESHG 🧪
01.08.2025 12:10 — 👍 0 🔁 0 💬 0 📌 0
https://doi.org/10.1001/jamadermatol.2024.5291
No description available
Discover scleroderma: symptoms, diagnosis, and treatments boiled down! Dive into the essentials: skin hardening, Raynaud's, lung issues. 🩺 PMID:40238140, JAMA Dermatol 2025 https://doi.org/10.1001/jamadermatol.2024.5291 #Medsky #Pharmsky #RNA #ASHG #ESHG 🧪
01.08.2025 10:10 — 👍 0 🔁 0 💬 0 📌 0
https://doi.org/10.1001/jamadermatol.2025.1849
No description available
Guselkumab (100 mg) shows promise for moderate-severe scalp psoriasis in skin of color. 48-week VISIBLE trial data on efficacy & safety. PMID:40560554, JAMA Dermatol 2025 https://doi.org/10.1001/jamadermatol.2025.1849 #Medsky #Pharmsky #RNA #ASHG #ESHG 🧪
01.08.2025 05:10 — 👍 15 🔁 3 💬 0 📌 0
The impact of library size and scale of testing on virtual screening | Nature Chemical Biology
Virtual ligand libraries for ligand discovery have recently increased 10,000-fold. Whether this has improved hit rates and potencies has not been directly tested. Meanwhile, typically only dozens of docking hits are assayed, clouding hit-rate interpretation. Here we docked a 1.7 billion-molecule virtual library against β-lactamase, testing 1,521 new molecules and comparing the results to a 99 million-molecule screen where 44 molecules were tested. In a larger screen, hit rates improved twofold, more scaffolds were discovered and potency improved. Fifty-fold more inhibitors were found, supporting the idea that the large libraries harbor many more ligands than are being tested. In sampling smaller sets from the 1,521, hit rates only converged when several hundred molecules were tested. Hit rates and affinities improved steadily with docking score. It may be that as the scale of docking libraries and their testing grows, both ligands and our ability to rank them will improve. The docking
A study docked 1.7B molecules against β-lactamase, testing 1,521 vs. a 99M screen with 44. Larger screens offer insights on hit rates. PMID:39753705, Nat Chem Biol 2025, @nchembio https://doi.org/10.1038/s41589-024-01797-w #Medsky #Pharmsky #RNA #ASHG #ESHG 🧪
01.08.2025 03:10 — 👍 6 🔁 0 💬 0 📌 0
https://doi.org/10.1056/NEJMoa2503119
No description available
In a phase 3 trial, Trastuzumab Deruxtecan (6.4 mg/kg) was compared as 2nd-line treatment vs Ramucirumab+Paclitaxel in HER2+ gastric cancer. PMID:40454632, N Engl J Med 2025, @NEJM https://doi.org/10.1056/NEJMoa2503119 #Medsky #Pharmsky #RNA #ASHG #ESHG 🧪
01.08.2025 02:10 — 👍 3 🔁 0 💬 0 📌 0
https://doi.org/10.1126/science.adr5817
No description available
Cryo-EM reveals human telomerase dimer structure at 4.2 Å, showing H/ACA RNP roles in dimerization beyond monomers. PMID:40638752, Science 2025, @ScienceMagazine https://doi.org/10.1126/science.adr5817 #Medsky #Pharmsky #RNA #ASHG #ESHG 🧪
31.07.2025 02:10 — 👍 6 🔁 0 💬 0 📌 0
hnRNPL phase separation activates PIK3CB transcription and promotes glycolysis in ovarian cancer | Nature Communications
Ovarian cancer has the highest mortality rate among gynecologic tumors worldwide, with unclear underlying mechanisms of pathogenesis. RNA-binding proteins (RBPs) primarily direct post-transcriptional regulation through modulating RNA metabolism. Recent evidence demonstrates that RBPs are also implicated in transcriptional control. However, the role and mechanism of RBP-mediated transcriptional regulation in tumorigenesis remain largely unexplored. Here, we show that the RBP heterogeneous ribonucleoprotein L (hnRNPL) interacts with chromatin and regulates gene transcription by forming phase-separated condensates in ovarian cancer. hnRNPL phase separation activates PIK3CB transcription and glycolysis, thus promoting ovarian cancer progression. Notably, we observe that the PIK3CB promoter is transcribed to produce a non-coding RNA which interacts with hnRNPL and promotes hnRNPL condensation. Furthermore, hnRNPL is significantly amplified in ovarian cancer, and its high expression predicts
Discover how hnRNPL's phase separation activates PIK3CB transcription, boosting glycolysis in ovarian cancer. Find insights into its deadly mechanisms! PMID:40413189, Nat Commun 2025, @NatureComms https://doi.org/10.1038/s41467-025-60115-7 #Medsky #Pharmsky #RNA #ASHG #ESHG 🧪
31.07.2025 01:10 — 👍 5 🔁 1 💬 0 📌 0
Gene Expression Regulation | RNA Therapeutics | RNA by Design Leader @ Centillion | Cambridge, UK | Views my own | #RNAsky #RNAtx #RNArocks
A multidisciplinary community of researchers with the mission to better understand the roots of disease and narrow the gap between new biological insights and impact for patients. Broadinstitute.org
Pharmacology • Neuroscience • Ethics • Clinical Trials • Public Health • SciComm • SciArt • Yoga
Posts are mine, not my employer’s.
Posts from the editors of Nature Reviews Rheumatology, the top review journal in the field, covering the latest advances.
http://www.nature.com/nrrheum/index.html
#Rheumsky #Medsky
The Leibniz Institute on Aging – Fritz Lipmann Institute (FLI) is a research institute in Germany, focusing on biomedical research on human aging, a multifactorial process controlled by environmental and genetic factors.
🎙️ Live, from 19p13, it's Saturday Night!
https://en.wikipedia.org/wiki/LKB1
Create and share social media content anywhere, consistently.
Built with 💙 by a global, remote team.
⬇️ Learn more about Buffer & Bluesky
https://buffer.com/bluesky
Professor, Geneticist, Human Evolutionary Biologist, Wife, Mom
Posts reflect my own personal views and not any of the organizations I am affiliated with.
Bioinformatics Scientist / Next Generation Sequencing, Single Cell and Spatial Biology, Next Generation Proteomics, Liquid Biopsy, SynBio, Compute Acceleration in biotech // http://albertvilella.substack.com
Scientist. Mother. Captain's wife. Loves numbers.
https://cncr.nl/ctg/
Young Investigator Committee @geneticepi.bsky.social
PhD @mcgill.ca
Proteomics, Genomics, Genetic Epidemiology
https://chenyangsu.github.io/
Previously @mila-quebec.bsky.social
Twitter: https://x.com/chenyangsu
Population and statistical geneticist @MGH/HMS and Broad Institute
Professor, personal account. Genetics, genomics, brain development, other stuff. Typo-prone. If you’re nice I’ll post dog photos.
If you click the Starter Packs tab below you’ll find two I made for genetics and genomics accounts.
Genomics, big data, open science, diversity. Director of the Centre for Population Genomics, focused on building a more equitable future for genomic medicine. Opinions my own.
MBBS, MD, PhD | GWAS storyteller | Scientist at Regeneron | Human genetics & drug discovery in Neuroscience & Psychiatry
physician-scientist, author, editor
https://www.scripps.edu/faculty/topol/
Ground Truths https://erictopol.substack.com
SUPER AGERS https://www.simonandschuster.com/books/Super-Agers/Eric-Topol/9781668067666
Cardiologist, genetics researcher.
Massachusetts General Hospital | Harvard Medical School | Broad Institute of Harvard & MIT
Population geneticist, University of Chicago