Qiurui Rachel Zeng (@zengqiurui) 's Twitter Profile
Qiurui Rachel Zeng

@zengqiurui

PhD Student @JoeEcker lab, Salk Institue

ID: 1602702194

calendar_today18-07-2013 06:11:37

17 Tweet

115 Followers

201 Following

Hanqing Liu (@hanq_liu) 's Twitter Profile Photo

Thrilled to share our latest work from Joe Ecker 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…

Thrilled to share our latest work from <a href="/JoeEcker/">Joe Ecker</a> 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…
Hanqing Liu (@hanq_liu) 's Twitter Profile Photo

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, an open-source cloud computing framework, empowered us to handle atlas-level data in the cloudā˜ļø! link.medium.com/EU1kDD0Zrzb

Yan Hu (@yanhu41082612) 's Twitter Profile Photo

Super excited to share our new study from the Jason 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…

Luisa Amaral (@luisajamaral) 's Twitter Profile Photo

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

Zihan Xu (@xu_zxu) 's Twitter Profile Photo

I'm thrilled to share our new #bioRxiv preprint from ⁦Junyue⁩ lab at ⁦Rockefeller University⁩! 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…

Marios Georgakis (@mariosgeorgakis) 's Twitter Profile Photo

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 twošŸ‘‡

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 twošŸ‘‡
Cohesin (@xieeee4) 's Twitter Profile Photo

How does heart failure rewire gene regulation? šŸ” Excited to share our single-cell, multimodal epigenomic resource on human heart failurešŸ«€: doi.org/10.1101/2025.0….

Rongxin Fang, Ph.D. (@rongxinfang) 's Twitter Profile Photo

We are looking for a research assistant to join the lab and work on spatial genomics. Please help spread the word—thanks! careersearch.stanford.edu/jobs/life-scie…