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Dive into the research topics where Adam J Rubin is active.

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Featured researches published by Adam J Rubin.


Nature Methods | 2016

HiChIP: efficient and sensitive analysis of protein-directed genome architecture

Maxwell R. Mumbach; Adam J Rubin; Ryan A. Flynn; Chao Dai; Paul A. Khavari; William J. Greenleaf; Howard Y. Chang

Genome conformation is central to gene control but challenging to interrogate. Here we present HiChIP, a protein-centric chromatin conformation method. HiChIP improves the yield of conformation-informative reads by over 10-fold and lowers the input requirement over 100-fold relative to that of ChIA-PET. HiChIP of cohesin reveals multiscale genome architecture with greater signal-to-background ratios than those of in situ Hi-C.


Nature Genetics | 2017

Enhancer connectome in primary human cells identifies target genes of disease-associated DNA elements

Maxwell R. Mumbach; Ansuman T. Satpathy; Evan A. Boyle; Chao Dai; Benjamin G. Gowen; Seung Woo Cho; Michelle L. Nguyen; Adam J Rubin; Jeffrey M. Granja; Katelynn R. Kazane; Yuning Wei; Trieu Nguyen; Peyton Greenside; M. Ryan Corces; Josh Tycko; Dimitre R. Simeonov; Nabeela Suliman; Rui Li; Jin Xu; Ryan A. Flynn; Anshul Kundaje; Paul A. Khavari; Alexander Marson; Jacob E. Corn; Thomas Quertermous; William J. Greenleaf; Howard Y. Chang

The challenge of linking intergenic mutations to target genes has limited molecular understanding of human diseases. Here we show that H3K27ac HiChIP generates high-resolution contact maps of active enhancers and target genes in rare primary human T cell subtypes and coronary artery smooth muscle cells. Differentiation of naive T cells into T helper 17 cells or regulatory T cells creates subtype-specific enhancer–promoter interactions, specifically at regions of shared DNA accessibility. These data provide a principled means of assigning molecular functions to autoimmune and cardiovascular disease risk variants, linking hundreds of noncoding variants to putative gene targets. Target genes identified with HiChIP are further supported by CRISPR interference and activation at linked enhancers, by the presence of expression quantitative trait loci, and by allele-specific enhancer loops in patient-derived primary cells. The majority of disease-associated enhancers contact genes beyond the nearest gene in the linear genome, leading to a fourfold increase in the number of potential target genes for autoimmune and cardiovascular diseases.


Nature Structural & Molecular Biology | 2016

7SK-BAF axis controls pervasive transcription at enhancers

Ryan A. Flynn; Brian T. Do; Adam J Rubin; Eliezer Calo; Byron K. Lee; Hannes Y. Kuchelmeister; Michael Rale; Ci Chu; Eric T. Kool; Joanna Wysocka; Paul A. Khavari; Howard Y. Chang

RNA functions at enhancers remain mysterious. Here we show that the 7SK small nuclear RNA (snRNA) inhibits enhancer transcription by modulating nucleosome position. 7SK occupies enhancers and super enhancers genome wide in mouse and human cells, and it is required to limit enhancer-RNA initiation and synthesis in a manner distinct from promoter pausing. Clustered elements at super enhancers uniquely require 7SK to prevent convergent transcription and DNA-damage signaling. 7SK physically interacts with the BAF chromatin-remodeling complex, recruits BAF to enhancers and inhibits enhancer transcription by modulating chromatin structure. In turn, 7SK occupancy at enhancers coincides with that of Brd4 and is exquisitely sensitive to the bromodomain inhibitor JQ1. Thus, 7SK uses distinct mechanisms to counteract the diverse consequences of pervasive transcription that distinguish super enhancers, enhancers and promoters.


Nature Methods | 2017

An improved ATAC-seq protocol reduces background and enables interrogation of frozen tissues

M. Ryan Corces; Alexandro E. Trevino; Emily G. Hamilton; Peyton Greenside; Nicholas A Sinnott-Armstrong; Sam Vesuna; Ansuman T. Satpathy; Adam J Rubin; Kathleen S. Montine; Beijing Wu; Arwa Kathiria; Seung Woo Cho; Maxwell R. Mumbach; Ava C. Carter; Maya Kasowski; Lisa A. Orloff; Viviana I. Risca; Anshul Kundaje; Paul A. Khavari; Thomas J. Montine; William J. Greenleaf; Howard Y. Chang

We present Omni-ATAC, an improved ATAC-seq protocol for chromatin accessibility profiling that works across multiple applications with substantial improvement of signal-to-background ratio and information content. The Omni-ATAC protocol generates chromatin accessibility profiles from archival frozen tissue samples and 50-μm sections, revealing the activities of disease-associated DNA elements in distinct human brain structures. The Omni-ATAC protocol enables the interrogation of personal regulomes in tissue context and translational studies.


bioRxiv | 2018

Morphogen-Lineage Selector Interactions During Surface Epithelial Commitment

Sandra P. Melo; Jillian M. Pattison; Samantha N. Piekos; Jessica L. Torkelson; Elizaveta Bashkirova; Maxwell R. Mumbach; Charlotte Rajasingh; Hanson H. Zhen; Lingjie Li; Eric J. Liaw; Daniel Alber; Adam J Rubin; Gautam Shankar; Howard Y. Chang; Paul A. Khavari; Anthony E. Oro

Human embryonic stem cell (hESC) differentiation promises advances in regenerative medicine1–3, yet conversion of hESCs into tissues such as keratinocytes requires a better understanding of epigenetic interactions between the inductive morphogens retinoic acid (RA) and bone morphogenetic protein 4 (BMP), and the master regulator p634,5. Here we develop a robust, defined, keratinocyte differentiation system, and use a multi-dimensional genomics approach to interrogate the contributions of the morphogens and lineage selector to chromatin dynamics during early surface ectoderm commitment. In stark contrast to other master regulators6–9, we find using p63 gain and loss of function hESC lines, that p63 effects major transcriptional changes only after morphogenetic action. Morphogens alter chromatin accessibility and histone modifications, establishing an epigenetic landscape for p63 to modify. In turn, p63 closes chromatin accessibility and promotes the accumulation of repressive H3K27me3 histone modifications at sites distal to where it binds. Surprisingly, cohesin HiChIP10 visualization of genome-wide chromosome conformation reveals that both p63 and the morphogens contribute to dynamic long-range genomic interactions that increase the probability of negative transcriptional regulation at p63 target loci. p63-regulated accessibility, not H3K27me3 deposition, appears to drive early transcriptional changes. We illustrate morphogen-selector interactions by studying p63 negative feedback regulation of TFAP2Ci11, whereby disruption of the single p63 binding site results in a loss of p63-mediated transcriptional control and dramatic increases in TFAP2C and p63 expression. Our study reveals the unexpected dependency of p63 on morphogenetic signaling to control long-range chromatin interactions during tissue specification and provides novel insights into how master regulators specify diverse morphological outcomes.


bioRxiv | 2018

Coupled single-cell CRISPR screening and epigenomic profiling reveals causal gene regulatory networks

Adam J Rubin; Kevin R. Parker; Ansuman T. Satpathy; Yanyan Qi; Beijing Wu; Alvin J Ong; Maxwell R. Mumbach; Andrew L. Ji; Daniel S. Kim; Sueng Woo Cho; Brian J. Zarnegar; William J. Greenleaf; Howard Y. Chang; Paul A. Khavari

Here we present Perturb-ATAC, a method which combines multiplexed CRISPR interference or knockout with genome-wide chromatin accessibility profiling in single cells, based on the simultaneous detection of CRISPR guide RNAs and open chromatin sites by assay of transposase-accessible chromatin with sequencing (ATAC-seq). We applied Perturb-ATAC to transcription factors (TFs), chromatin-modifying factors, and noncoding RNAs (ncRNAs) in ∼4,300 single cells, encompassing more than 63 unique genotype-phenotype relationships. Perturb-ATAC in human B lymphocytes uncovered regulators of chromatin accessibility, TF occupancy, and nucleosome positioning, and identified a hierarchical organization of TFs that govern B cell state, variation, and disease-associated cis-regulatory elements. Perturb-ATAC in primary human epidermal cells revealed three sequential modules of cis-elements that specify keratinocyte fate, orchestrated by the TFs JUNB, KLF4, ZNF750, CEBPA, and EHF. Combinatorial deletion of all pairs of these TFs uncovered their epistatic relationships and highlighted genomic co-localization as a basis for synergistic interactions. Thus, Perturb-ATAC is a powerful and general strategy to dissect gene regulatory networks in development and disease. Highlights A new method for simultaneous measurement of CRISPR perturbations and chromatin state in single cells. Perturb-ATAC reveals regulatory factors that control cis-element accessibility, trans-factor occupancy, and nucleosome positioning. Perturb-ATAC reveals regulatory modules of coordinated trans-factor activity in B lymphoblasts. Keratinocyte differentiation is orchestrated by synergistic activities of co-binding TFs on cis-elements.


Genome Biology | 2015

A novel ATAC-seq approach reveals lineage-specific reinforcement of the open chromatin landscape via cooperation between BAF and p63

Xiaomin Bao; Adam J Rubin; Kun Qu; Jiajing Zhang; Paul G. Giresi; Howard Y. Chang; Paul A. Khavari


Nature Genetics | 2017

Lineage-specific dynamic and pre-established enhancer-promoter contacts cooperate in terminal differentiation

Adam J Rubin; Brook Barajas; Mayra Furlan-Magaril; Vanessa Lopez-Pajares; Maxwell R. Mumbach; Imani Howard; Daniel S. Kim; Lisa D. Boxer; Jonathan Cairns; Mikhail Spivakov; Steven W. Wingett; Minyi Shi; Zhixin Zhao; William J. Greenleaf; Anshul Kundaje; Michael Snyder; Howard Y. Chang; Peter Fraser; Paul A. Khavari


Developmental Cell | 2017

CSNK1a1 Regulates PRMT1 to Maintain the Progenitor State in Self-Renewing Somatic Tissue

Xiaomin Bao; Zurab Siprashvili; Brian J. Zarnegar; Rajani M. Shenoy; Eon J. Rios; Natalie Nady; Kun Qu; Angela Mah; Daniel E. Webster; Adam J Rubin; Glenn G. Wozniak; Shiying Tao; Joanna Wysocka; Paul A. Khavari


Nature Medicine | 2018

Transcript-indexed ATAC-seq for precision immune profiling

Ansuman T. Satpathy; Naresha Saligrama; Jason D. Buenrostro; Yuning Wei; Beijing Wu; Adam J Rubin; Jeffrey M. Granja; Caleb A. Lareau; Rui Li; Yanyan Qi; Kevin R. Parker; Maxwell R. Mumbach; William S. Serratelli; David Gennert; Alicia N. Schep; M. Ryan Corces; Michael S. Khodadoust; Youn H. Kim; Paul A. Khavari; William J. Greenleaf; Mark M. Davis; Howard Y. Chang

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