James Hocker, MD, PhD @jamesdhocker

PGY-2 @brighamwomens Hospital, Internal Medicine | Cardiovascular Genomics | PhD in Bing Ren Lab @UCSanDiego bit.ly/jameshocker Boston, MA Joined June 2020

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UCSD MSTP @ucsd_mstp

a year ago

Great to see @bethanyfixsen and @jamesdhocker featured in the @BrighamMedRes Bulletin! We are sad to see you leave California, but so excited for your new journey in Boston! bwhbulletin.org/2024/03/21/im-…

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Evan Masutani, MD, PhD @EvanMakes

a year ago

So incredibly grateful to have couples matched in San Diego with my wife @HanaMedDO!!! Our 👶🏻 Grace and 🐶 Ozzy are overjoyed! #Match2024 @UCSDMedSchool @WesternUCOMP @UCSDRadRes @ucsd_mstp @HsiaoMDPhD @albertssong @SanYsidroHealth

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James Hocker, MD, PhD @jamesdhocker

a year ago

Thrilled to have couples matched at @BrighamMedRes with @bethanyfixsen - we are so excited to start!!! Thank you to our family, friends, and mentors Neil Chi, @UCSDGlassLab, & Bing Ren #UCSDMatch2024 @UCSDMedSchool @ucsd_mstp @UCSDBMS

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Eric Topol @EricTopol

a year ago

Link to paper nature.com/articles/s4158…

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Eric Topol @EricTopol

a year ago

Single cell sequencing, gene expression, imaging and spatial omics deconvolute the heart's development in exquisite detail @Nature video: youtu.be/bGOgq7DMTGg

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What if 1 million scRNA-seq libraries can be prepared within $1k? Here we go 👉 21 million cells from 623 mouse tissues, spanning 5 life stages & 3 genotypes, all in a SINGLE study by ONE remarkable student Zehao @Tommyz626 from our lab @RockefellerUniv! shorturl.at/epsz7

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Ming Hu @afhuming

2 years ago

nature.com/articles/s4158… I am very excited to share our recent paper on @Nature . It is a great collaboration with Dr. Murre and Dr. Fisch at UCSD. We discovered a molecular mechanism to shape nuclear morphology. @CCLRI

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Jesse Engreitz @jengreitz

2 years ago

1. This validates the observation/hypothesis that causal genes for a disease are connected in gene regulatory networks — and shows that we can find them with systematic Perturb-seq and V2G2P. Here we linked 41 CAD GWAS loci to a single pathway in endothelial cells. 13/

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Jesse Engreitz @jengreitz

2 years ago

Our latest in @Nature: Convergence of coronary artery disease genes on endothelial cell programs nature.com/articles/s4158… Incredible work led by Gavin Schnitzler and @kanghelenyihua — a long-standing partnership between our lab and @Dr_RajatGupta My comments below: 1/

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Raj Gupta @Dr_RajatGupta

2 years ago

Our study is out @Nature. We identify non-lipid risk pathways for coronary artery disease using pooled CRISPR-interference for 2,285 genes at GWAS loci. With an amazing team we identified the genetic risk pathways for CAD that act in endothelial cells. nature.com/articles/s4158…

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William J. Greenleaf @WJGreenleaf

2 years ago

Our work using single-molecule chromatin configurations to link TF binding to gene expression is now out on bioRxiv! Amazing effort from @bgrdoughty, @MichaelaThinks, and @juliaschaepe, and an immensely rewarding collaboration with the @BintuLab: biorxiv.org/content/10.110… [1/n]

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Emma Farley 🇪🇺 @EKFarley

2 years ago

The prevalence of suboptimal affinity binding sites within enhancers creates a vulnerability in genomes whereby single-nucleotide changes that optimize affinity, even slightly, can be pathogenic. doi.org/10.1038/s41586…

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Emma Farley 🇪🇺 @EKFarley

2 years ago

Pinpointing causal variants that disrupt development. So proud of the amazing team on this epic enhancer genotype-to-phenotype study. Well Done, Fabian Lim, @JoeSolvason, Genevieve Ryan, Sophia Le, @granton_jindal, Paige Steffen and Simran Jandu!!! doi.org/10.1038/s41586…

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Nature Methods @naturemethods

2 years ago

SnapATAC2 is a non-linear dimension reduction algorithm tailored for single-cell omics data including scATAC-seq, scRNA-seq, scHi-C, and multiomics datasets. snapATAC is also efficient in runtime and memory usage. nature.com/articles/s4159…

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Mitch Guttman @mitchguttman

2 years ago

Gene expression involves thousands of proteins that bind DNA, yet comprehensively mapping these is challenging. We developed ChIP-DIP – a method for simultaneous, genome-wide mapping of hundreds of DNA-protein interactions in a single experiment. biorxiv.org/content/10.110…

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bioRxiv @biorxivpreprint

2 years ago

Whole genome association testing in 333,100 individuals across three biobanks identifies rare non-coding single variant and genomic aggregate associations with height biorxiv.org/cgi/content/sh… #bioRxiv

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Claudia Han @CeeZeeH

2 years ago

I'm delighted to announce that I am joining the talented research community at @BIG_CenterWashU @wusm_pathology. The Han Lab, with a focus on brain #macrophages in neuropathologies, will be open shortly. More info and website coming soon!

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Andreas Gschwind @argschwind

2 years ago

Excited to share our latest work on bioRxiv! biorxiv.org/content/10.110… A highly collaborative effort with @ksmualim @karbalayghareh, @mayayayas, @kanishkadey, @evelynjagoda,@WangXijhu, @LarsMSteinmetz, @anshulkundaje, @jengreitz and many others from @ENCODE_NIH! Thread👇

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Jesse Engreitz @jengreitz

2 years ago

Excited to share our collaboration with ENCODE to map enhancer-gene regulatory interactions across the human genome! We developed a new model that beats ABC by incorporating additional information on promoter class and enhancer-enhancer interactions. Thread 👇