J Engreitz

ORCID: 0000-0002-5754-1719
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About
Contact & Profiles
Research Areas
  • RNA Research and Splicing
  • RNA modifications and cancer
  • RNA and protein synthesis mechanisms
  • Genomics and Chromatin Dynamics
  • Genetic Associations and Epidemiology
  • Cancer-related molecular mechanisms research
  • CRISPR and Genetic Engineering
  • Single-cell and spatial transcriptomics
  • Bioinformatics and Genomic Networks
  • HER2/EGFR in Cancer Research
  • Congenital heart defects research
  • Neuroblastoma Research and Treatments
  • Epigenetics and DNA Methylation
  • Protein Degradation and Inhibitors
  • Atherosclerosis and Cardiovascular Diseases
  • Chromosomal and Genetic Variations
  • Genomic variations and chromosomal abnormalities
  • Cancer Cells and Metastasis
  • Multiple Myeloma Research and Treatments
  • CAR-T cell therapy research
  • Genomics and Rare Diseases
  • Kruppel-like factors research
  • Gene expression and cancer classification
  • Pulmonary Hypertension Research and Treatments
  • Monoclonal and Polyclonal Antibodies Research

Stanford University
2010-2025

Lucile Packard Children's Hospital
2011-2025

Broad Institute
2014-2024

Cardiovascular Institute of the South
2023-2024

Foundation Center
2023-2024

Novo Nordisk (United States)
2023-2024

Institute of Genetics
2024

Novo Nordisk Foundation
2023

Harvard University
2017-2021

Harvard University Press
2017-2020

Understanding Xist-ance Large noncoding RNAs (lncRNAs) are increasingly appreciated to play important roles in the cell. A number of lncRNAs act target chromatin regulatory complexes their sites action. Engreitz et al. (p. 10.1126/science.1237973 , published online 4 July; see Perspective by Dimond and Fraser ) found that mouse Xist lncRNA, which initiates X-chromosome inactivation, was transferred from its site transcription distant on X chromosome purely through close three-dimensional...

10.1126/science.1237973 article EN Science 2013-07-05
Toni Delorey Carly G.K. Ziegler Graham Heimberg Rachelly Normand Yiming Yang and 95 more Åsa Segerstolpe Domenic Abbondanza Stephen J. Fleming Ayshwarya Subramanian Daniel T. Montoro Karthik A. Jagadeesh Kushal K. Dey Pritha Sen Michal Slyper Yered Pita-Juárez Devan Phillips Jana Biermann Zohar Bloom‐Ackermann Nikolaos Barkas Andrea Ganna James Gomez Johannes C. Melms Igor Katsyv Erica Normandin Pourya Naderi Yeganeh Yury Popov Siddharth S. Raju Sebastian Niezen Linus Tsai Katherine J. Siddle Malika Sud Victoria M. Tran Shamsudheen Karuthedath Vellarikkal Yiping Wang Liat Amir-Zilberstein Deepak Atri Joseph Beechem Olga R. Brook Jonathan Chen Prajan Divakar Phylicia Dorceus J Engreitz Adam L. Essene Donna M. Fitzgerald Robin Fropf Steven Gazal Joshua Gould John Grzyb Tyler Harvey Jonathan L. Hecht Tyler Hether Judit Jané‐Valbuena Michael Leney-Greene Hui Ma Cristin McCabe Daniel E. McLoughlin Eric Miller Christoph Muus Mari Niemi Robert F. Padera Liuliu Pan Deepti Pant Carmel Pe’er Jenna Pfiffner-Borges Christopher J. Pinto Jacob Plaisted Jason Reeves Marty Ross Melissa A. Rudy Erroll H. Rueckert Michelle Siciliano Alexander Sturm Ellen Todres Avinash Waghray Sarah Warren Shuting Zhang Daniel R. Zollinger Lisa A. Cosimi Rajat M. Gupta Nir Hacohen Hanina Hibshoosh Yoshihide Hayashizaki Alkes L. Price Jayaraj Rajagopal Purushothama Rao Tata Stefan Riedel Gyöngyi Szabó Timothy L. Tickle Patrick T. Ellinor Deborah T. Hung Pardis C. Sabeti Richard Novák Robert Rogers Donald E. Ingber Z. Gordon Jiang Dejan Juric Mehrtash Babadi Samouil L. Farhi Benjamin Izar James R. Stone

10.1038/s41586-021-03570-8 article EN other-oa Nature 2021-04-29

Gene expression in mammals is regulated by noncoding elements that can affect physiology and disease, yet the functions target genes of most remain unknown. We present a high-throughput approach uses clustered regularly interspaced short palindromic repeats (CRISPR) interference (CRISPRi) to discover regulatory identify their genes. assess >1 megabase sequence vicinity two essential transcription factors, MYC GATA1, nine distal enhancers control gene cellular proliferation. Quantitative...

10.1126/science.aag2445 article EN Science 2016-09-30
Pradeep Natarajan Gina M. Peloso Seyedeh M. Zekavat May E. Montasser Andrea Ganna and 95 more Mark Chaffin Amit V. Khera Wei Zhou Jonathan M. Bloom J Engreitz Jason Ernst Jeffrey R. O’Connell Sanni Ruotsalainen Maris Alver Ani Manichaikul W. Craig Johnson James A. Perry Timothy Poterba Cotton Seed Ida Surakka Tõnu Esko Samuli Ripatti Veikko Salomaa Adolfo Correa Ramachandran S. Vasan Manolis Kellis Benjamin M. Neale Eric S. Lander Gonçalo R. Abecasis Braxton D. Mitchell Stephen S. Rich James G. Wilson L. Adrienne Cupples Jerome I. Rotter Cristen J. Willer Sekar Kathiresan Namiko Abe Christine M. Albert Nicholette Palmer Allred Laura Almasy Álvaro Alonso Seth A. Ament Peter Anderson Pramod Anugu Deborah Applebaum‐Bowden Dan E. Arking Donna K. Arnett Allison E. Ashley‐Koch Stella Aslibekyan Tim Assimes Paul L. Auer Dimitrios Avramopoulos J. A. Barnard Kathleen C. Barnes R. Graham Barr Emily Barron‐Casella Terri H. Beaty Diane M. Becker Lewis C. Becker Rebecca Beer Ferdouse Begum Amber L. Beitelshees Emelia J. Benjamin Marcos Bezerra Larry Bielak Joshua C. Bis Thomas W. Blackwell John Blangero Eric Boerwinkle Ingrid B. Borecki Russell P. Bowler Jennifer A. Brody Ulrich Broeckel Jai Broome Karen Bunting Esteban Burchard Jonathan Cardwell Cara L. Carty Richard Casaburi James F. Casella Christy Chang Daniel I. Chasman Sameer Chavan Bo-Juen Chen Wei‐Min Chen Yii-Der Ida Chen Michael H. Cho Seung Hoan Choi Lee‐Ming Chuang Mina K. Chung Elaine Cornell Carolyn Crandall James D. Crapo Joanne E. Curran Jeffrey L. Curtis Brian Custer Coleen Damcott Dawood Darbar Sayantan Das Sean P. David

Large-scale deep-coverage whole-genome sequencing (WGS) is now feasible and offers potential advantages for locus discovery. We perform WGS in 16,324 participants from four ancestries at mean depth >29X analyze genotypes with quantitative traits-plasma total cholesterol, low-density lipoprotein cholesterol (LDL-C), high-density triglycerides. Common variant association yields known loci except few variants previously poorly imputed. Rare coding Mendelian dyslipidemia genes but rare...

10.1038/s41467-018-05747-8 article EN cc-by Nature Communications 2018-08-17
Maria C. Costanzo Marcin von Grotthuss Jeffrey Massung Dongkeun Jang Lizz Caulkins and 95 more Ryan Koesterer Clint Gilbert Ryan Welch Parul Kudtarkar Quy Hoang Andrew P. Boughton Preeti Singh Ying Sun Marc Duby Annie Moriondo Trang Thi Huyen Nguyen Patrick Smadbeck Benjamin Alexander MacKenzie Brandes Mary Carmichael Peter Dornbos Todd J. Green Kenneth C. Huellas-Bruskiewicz Yue Ji Alexandria Kluge Aoife McMahon Josep M. Mercader Oliver Ruebenacker Sebanti Sengupta Dylan Spalding Daniel Taliun Phil Smith Melissa K. Thomas Beena Akolkar M. Julia Brosnan Andriy Cherkas Audrey Y. Chu Eric B. Fauman Caroline S. Fox Tania Kamphaus Melissa Miller Lynette Nguyen Afshin Parsa Dermot F. Reilly Hartmut Ruetten David Wholley Norann A. Zaghloul Gonçalo R. Abecasis David Altshuler Thomas Keane Mark I. McCarthy Kyle J. Gaulton José C. Florez Michael Boehnke Noël P. Burtt Jason Flannick Gonçalo R. Abecasis Beena Akolkar Benjamin Alexander Nicholette D. Allred David Altshuler Jennifer E. Below Richard N. Bergman Joline W. J. Beulens John Blangero Michael Boehnke Krister Bokvist Erwin Böttinger Andrew P. Boughton Donald W. Bowden M. Julia Brosnan Christopher D. Brown Kenneth Bruskiewicz Noël P. Burtt Mary Carmichael Lizz Caulkins Inês Cebola John C. Chambers Yii‐Der Ida Chen Andriy Cherkas Audrey Y. Chu Christopher Clark Melina Claussnitzer Maria C. Costanzo Nancy J. Cox Marcel den Hoed Duc Dong Marc Duby Ravindranath Duggirala Josée Dupuis Petra J. M. Elders J Engreitz Eric B. Fauman Jorge Ferrer Jason Flannick Paul Flicek Matthew Flickinger José C. Florez Caroline S. Fox Timothy M. Frayling

Associations between human genetic variation and clinical phenotypes have become a foundation of biomedical research. Most repositories these data seek to be disease-agnostic therefore lack disease-focused views. The Type 2 Diabetes Knowledge Portal (T2DKP) is public resource datasets genomic annotations dedicated type diabetes (T2D) related traits. Here, we make the T2DKP more accessible prospective users useful existing users. First, evaluate T2DKP's comprehensiveness by comparing its with...

10.1016/j.cmet.2023.03.001 article EN cc-by-nc-nd Cell Metabolism 2023-03-23

Abstract Identifying transcriptional enhancers and their target genes is essential for understanding gene regulation the impact of human genetic variation on disease 1–6 . Here we create evaluate a resource >13 million enhancer-gene regulatory interactions across 352 cell types tissues, by integrating predictive models, measurements chromatin state 3D contacts, large-scale perturbations generated ENCODE Consortium 7 We first systematic benchmarking pipeline to compare assembling dataset...

10.1101/2023.11.09.563812 preprint EN cc-by-nd bioRxiv (Cold Spring Harbor Laboratory) 2023-11-13
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