Maps of genomic interactions with two nuclear compartments—the nuclear lamina and nuclear speckles—from developing brains using Genome Organization using CUT and RUN Technology (GO-CaRT); new from Sajad Ahanger, Daniel Lim Lab, and colleagues go.nature.com/2TNTRNn

Published in Nature Neuroscience, Sajad Ahanger Daniel Lim Lab generate the first maps of how the genome is spatially organized in the nucleus of brain cells, with implications for both development and disease: nature.com/articles/s4159…

3D genome architecture relative to nuclear sub-compartments in brain using GO-CaRT.

Our GO-CaRT paper is featured on the cover of Nature Neuroscience! Daniel Lim Lab @_RyanNDelgado Nowakowski_Lab

Fun with #science #communication

‘Evolutionary conservation and cell type specificity of nuclear compartments in the brain’ Trends in Neurosciences Spotlight by @Erin_Aboelnour & Boyan Bonev cell.com/trends/neurosc… discussing Ahanger, Delgado et al. 2021 Sajad Ahanger @_RyanNDelgado Daniel Lim Lab nature.com/articles/s4159…

Happy to see our recently published work getting discussed!

Happy to announce that the Velmeshev lab is opening this March at Duke University's Department of Neurobiology! Looking for a lab manager/research associate and a postdoc. Details at velmeshevlab.com/join-us. Anyone interested please DM or email me. Please RT!

.Sajad Ahanger of Daniel Lim Lab UC San Francisco discusses the mapping of distinct nuclear compartment-associated genome organization in the mammalian brain. Nature Neuroscience @_RyanNDelgado Nowakowski_Lab #JRNLclub jrnlclub.org/research-films…

We’ve updated our lab website. A more modern look. More fun, for sure. Come take a look at what we’re working on! danlimlab.ucsf.edu

New postdoc positions available in the lab here at UCSF! For those curious about 3D genome organization, chromatin biology and lncRNAs of brain development and disease, job listing can be found here: postdocjobs.com/posting/7115831

Nucleotide GPT: Sequence-Based Deep Learning Prediction of Nuclear Subcompartment-Associated Genome Architecture 1. Nucleotide GPT introduces a novel transformer-based model for predicting nuclear subcompartment associations from raw DNA sequences, achieving accuracies of 73.6%