@senc-neurociencia.bsky.social📰Una investigación internacional liderada por el consorcio #PsychAD y publicada en @nature.com ha logrado trazar el mapa transcriptómico de célula única más detallado hasta la fecha de la corteza prefrontal dorsolateral humana
🖋️ @avillarreal.bsky.social
@leelab.bsky.socialLeading the #PsychAD flagship and its eight companion papers has been the privilege of my career, and seeing it on the cover of @nature.com today is surreal.
Huge thanks to the brain donors and their families, our amazing team, and every collaborator who made this possible.
@cdneurogenomics.bsky.socialPsychAD dataset is openly available – described by Fullard et al., with 6.3M nuclei from about 1,500 donors across neurodegenerative and psychiatric disorders, plus neurotypical controls. doi.org/10.1038/s415... #PsychAD #OpenScience
@cdneurogenomics.bsky.socialMeet dreamlet – an open-source tool from Hoffman et al. for differential-expression analysis in population-scale single-cell studies. It is fast, memory-efficient and supports complex models. doi.org/10.1038/s414... #PsychAD #Transcriptomics
@cdneurogenomics.bsky.socialMeet crumblr: an open-source method from Hoffman et al. for fast, flexible analysis of cell-type composition. It scales to complex studies while controlling false positives. doi.org/10.1038/s414... #PsychAD #ComputationalBiology
@cdneurogenomics.bsky.socialVenkatesh et al. created 94 brain cell-type-specific models that link inherited risk to gene activity, finding thousands of gene–disease associations missed by bulk-tissue analyses. doi.org/10.1038/s415... #PsychAD #Genetics #TWAS
@cdneurogenomics.bsky.socialZeng et al. built a multi-ancestry atlas of genetic regulation using 5.6M nuclei from 1,384 donors. It shows where brain-disorder risk acts across specific cell types and 14,000+ genes. doi.org/10.1038/s415... #PsychAD #Neurogenomics #QTL
@cdneurogenomics.bsky.socialChandrashekar et al. developed iBrainMap to create personalized maps of brain-cell communication and gene regulation, revealing molecular differences that may explain Alzheimer's heterogeneity. doi.org/10.1038/s414... #PsychAD #PrecisionMedicine
@cdneurogenomics.bsky.socialHe et al. developed PASCode, an AI framework linking AD phenotypes with specific brain cells and gene programs, including features shared with depression. doi.org/10.1038/s415... #PsychAD #AI
@cdneurogenomics.bsky.socialYang et al. mapped 1.3M cells from 284 donors aged 0–97, revealing early-life remodeling, midlife stability and late-life reactivation. doi.org/10.1038/s415... #PsychAD #HealthyAging
@cdneurogenomics.bsky.socialFlagship in @Nature – Lee et al. mapped 6.3M brain-cell nuclei from 1,494 donors across 8 disorders, revealing vulnerabilities shared across dementias and changes unique to each disease. doi.org/10.1038/s415... #PsychAD #SingleCellGenomics
@cdneurogenomics.bsky.socialToday we're publishing nine #PsychAD papers across @NaturePortfolio journals, mapping 6.3M+ brain cells to study aging, disease, genetic regulation and new computational methods. Explore the PsychAD collection: nature.com/collections/... Learn more: psych-ad.org #OpenScience
