Qiurui Rachel Zeng
@zengqiurui
PhD Student @JoeEcker lab, @salkinstitute
Why are older individuals more prone to neurodegenerative diseases? Very excited to share our new #bioRxiv from @JoeEcker. We study age-related epigenetic changes in the brain, highlighting on cell-type-specific transposon demethylation and TAD remodeling. We also present a deep…
Most disease-associated GWAS signals fall in the non-coding genome🧬 Although assumed to influence expression, pinpointing the causal gene isn't easy. Two ways include: 1⃣eQTL mapping in relevant tissues/cells 2⃣in vitro CRISPRi screens This preprint compares the two👇
How does heart failure rewire gene regulation? 🔍 Excited to share our single-cell, multimodal epigenomic resource on human heart failure🫀: doi.org/10.1101/2025.0….
We mapped chromatin & transcriptional changes across 8 brain regions, 3 ages, and both sexes in >1M cells. We find stem cell loss, TF dysregulation, heterochromatin decay & sex-specific X-chromosome changes with age Grateful to all collaborators!🥳 #SingleCell #Aging #Epigenomics
Single-Cell Epigenomics Uncovers Heterochromatin Instability and Transcription Factor Dysfunction during Mouse Brain Aging biorxiv.org/content/10.110… #biorxiv_genomic
I'm thrilled to share our new #bioRxiv preprint from @junyue_cao lab at @RockefellerUniv! We present PerturbFate, a high-throughput single-cell CRISPR platform profiling nascent/pre-existing RNA, steady-state RNA & chromatin accessibility. biorxiv.org/content/10.110…
Super excited to share our new study from the @JD_Buenrostro Lab in @Nature! We developed a computational method for tracking transcription factor and nucleosome binding using single-cell ATAC-seq and deep learning. Paper: nature.com/articles/s4158…
Last month, we shared a preprint on whole mouse brain atlas🐭🧠 Wondering how we tackled the massive data demands? Our latest blog unveils how @skypilot_org, an open-source cloud computing framework, empowered us to handle atlas-level data in the cloud☁️! link.medium.com/EU1kDD0Zrzb
Thrilled to share our latest work from @JoeEcker lab, using cutting-edge snmC-seq3 and snm3C-seq technologies to generate 301,626 methylomes and 176,003 mC+3C multiome profiles from 117 dissected regions throughout the adult mouse brain. (1/n) biorxiv.org/content/10.110…