James Hocker, MD, PhD

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James Hocker, MD, PhD

James Hocker, MD, PhD

@jamesdhocker

PGY-2 @brighamwomens Hospital, Internal Medicine | Cardiovascular Genomics | PhD in Bing Ren Lab @UCSanDiego

Boston, MA Beigetreten Haziran 2020
330 Folgt195 Follower
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James Hocker, MD, PhD
James Hocker, MD, PhD@jamesdhocker·
Our latest work in @CellCellPress is a cell atlas of chromatin accessibility in 30 human tissues, integrated with prior data from 15 fetal tissues: - 222 cell types, ~1.2 million cCREs - Cell type & adult/fetal-specific elements - Interpretation of GWAS cell.com/cell/fulltext/…
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Eric Topol
Eric Topol@EricTopol·
Link to paper #Sec43" target="_blank" rel="nofollow noopener">nature.com/articles/s4158…
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Eric Topol
Eric Topol@EricTopol·
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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Junyue
Junyue@junyue_cao·
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
Ming Hu@afhuming·
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
Jesse Engreitz@jengreitz·
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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Raj Gupta
Raj Gupta@Dr_RajatGupta·
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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Emma Farley 🇪🇺
Emma Farley 🇪🇺@EKFarley·
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 🇪🇺
Emma Farley 🇪🇺@EKFarley·
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
Nature Methods@naturemethods·
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
Mitch Guttman@mitchguttman·
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
bioRxiv@biorxivpreprint·
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
Claudia Han@CeeZeeH·
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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Jesse Engreitz
Jesse Engreitz@jengreitz·
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 👇
Andreas Gschwind@argschwind

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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