Hyejung Won
@hyejungwon.bsky.social
220 followers 71 following 24 posts
Associate Professor at UNC Chapel Hill Neurogenetics wonlab.org
Posts Media Videos Starter Packs
hyejungwon.bsky.social
Thanks Leo! It was lovely to meet you again!
hyejungwon.bsky.social
Thanks so much Keri for inviting me ❤️ It was a great pleasure to visit Lieber and meet so many amazing scientists!
Reposted by Hyejung Won
martinowk.bsky.social
Phenomenal talk from @hyejungwon.bsky.social who is visiting us @lieberinstitute.bsky.social for the day. Groundbreaking work w/ important implications and roadmap for using rapidly emerging information on psychiatric genetics to prioritize variants and understand their impact on 🧠 function
Reposted by Hyejung Won
sj-marzi.bsky.social
How does APOE change your risk of developing Alzheimer's disease? At least partially by changing the function of immune cells in your brain 🧠🧬

New paper out in @natcomms.nature.com today: www.nature.com/articles/s41...

@ukdri.ac.uk @kingsioppn.bsky.social @imperialbrains.bsky.social
https://nature.com/articles/s4146…
hyejungwon.bsky.social
Huge congrats Debby! This was a lovely story when you presented at GRC ❤️
hyejungwon.bsky.social
Huge congrats Alexi and Sarah 🎉
Reposted by Hyejung Won
kampmann.bsky.social
Silencing of transgenes during iPSC differentiation is a frequent problem. 🧬🫢

Check out the piggyBac system below, which has resisted silencing in many protocols across many labs. 💪

Excited that our lab could contribute to this team effort led by @tuenaka.bsky.social & Marius Wernig!
Reposted by Hyejung Won
fg-pgc.bsky.social
Watch the video📽️attached to see what each of these awesome #FemsinSTEM are up to!

🧵3/3
hyejungwon.bsky.social
Marija, I am so much happy for you! Huge congrats! 😍
hyejungwon.bsky.social
This is soooo cool Pedro! Huge congrats!
hyejungwon.bsky.social
15/ Last but not least, I'd like to thank fabulous first authors, Sool Lee, Jessica McAfee, and Jiseok Lee; great collaborators, Pat Sullivan, Adriana Beltran, @markgerstein.bsky.social, Alan Boyle; and a fantastic editor, Scott Behie!
hyejungwon.bsky.social
Yay thanks! You deserve a credit here 😆
hyejungwon.bsky.social
14/ There’s much more in the full manuscript, including findings on Alu elements with gene regulatory activity and CRISPR validation. Check it out here for full access: authors.elsevier.com/a/1kU9ZL7PXq...
authors.elsevier.com
hyejungwon.bsky.social
13/ Together, our findings suggest pleiotropy arises from the functional properties of target genes and proteins, including prolonged gene activity during neuronal differentiation and higher protein connectivity in PPI networks.
hyejungwon.bsky.social
12/ PPI networks were a recurring theme: mDis3-bound transcription factors, mDis3 proteins, and even downstream effectors all showed higher connectivity in PPI networks. Connectivity in these networks seems critical to how pleiotropic variants exert their effects.
hyejungwon.bsky.social
11/ We also investigated protein-protein interaction (PPI) networks. mDis3 proteins were significantly more interconnected than mDis1 proteins. This implies pleiotropic proteins may amplify their effects through network connectivity, rippling through molecular pathways.
hyejungwon.bsky.social
10/ This suggests that mDis3 variants target genes with broader or longer activity across excitatory neuronal differentiation, potentially driving multiple downstream effects. These temporal differences may explain part of the functional diversity seen in pleiotropy.
hyejungwon.bsky.social
9/ We next examined the functional properties of variants and their target genes. Both mDis1 and mDis3 variants were enriched in the excitatory neuronal lineage. In this lineage, mDis1 genes were often expressed in a single cell type, while mDis3 genes showed prolonged, multi-cell-type expression.
hyejungwon.bsky.social
8/ Next, we wondered if mDis3 variants have more complex regulatory connectivity (e.g., linking to multiple genes). Again, no significant differences were found between mDis3 and mDis1 loci in the number of genes connected to emVars.
hyejungwon.bsky.social
7/ First, we asked if mDis3 loci simply have more emVars than mDis1 loci. The number of emVars didn’t differ between mDis3 and mDis1 loci. So, the extent of pleiotropy wasn’t explained by the number of variants with regulatory activity.
hyejungwon.bsky.social
6/ Why exclude 2-disorder variants? Many were linked to bipolar and schizophrenia, which have high genetic correlation (>0.7). This made it hard to determine if they were truly pleiotropic or just driven by shared biology between these two highly related disorders.