Jason S. Carroll

ORCID: 0000-0003-3643-0080
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About
Contact & Profiles
Research Areas
  • Estrogen and related hormone effects
  • Genomics and Chromatin Dynamics
  • Computational Drug Discovery Methods
  • Gene expression and cancer classification
  • Attachment and Relationship Dynamics
  • Bioinformatics and Genomic Networks
  • Family Dynamics and Relationships
  • Epigenetics and DNA Methylation
  • RNA Research and Splicing
  • Cancer Cells and Metastasis
  • FOXO transcription factor regulation
  • Breast Cancer Treatment Studies
  • HER2/EGFR in Cancer Research
  • Prostate Cancer Treatment and Research
  • Cancer, Lipids, and Metabolism
  • Cytokine Signaling Pathways and Interactions
  • Cancer, Hypoxia, and Metabolism
  • Cancer-related Molecular Pathways
  • Advanced Breast Cancer Therapies
  • Molecular Biology Techniques and Applications
  • Cancer Genomics and Diagnostics
  • RNA modifications and cancer
  • Brain Metastases and Treatment
  • Monoclonal and Polyclonal Antibodies Research
  • Ubiquitin and proteasome pathways

Cancer Research UK
2016-2025

University of Cambridge
2016-2025

Cancer Research UK Cambridge Center
2015-2024

Brigham Young University
2013-2024

Alzheimer’s Research UK
2020-2024

Lymphatic Education & Research Network
2023

University of Toronto
2020

University of Aberdeen
2015

Institute of Cancer Research
2015

Addenbrooke's Hospital
2015

Kyriaki Michailidou Sara Lindström Joe Dennis Jonathan Beesley Shirley Hui and 95 more Siddhartha Kar Audrey Lemaçon Penny Soucy Dylan M. Glubb Asha Rostamianfar Manjeet K. Bolla Qin Wang Jonathan P. Tyrer Ed Dicks Andrew Lee Zhaoming Wang Jamie Allen Renske Keeman Ursula Eilber Juliet D. French Xiaohong Chen Laura Fachal Karen McCue Amy E. McCart Reed Maya Ghoussaini Jason S. Carroll Xia Jiang Hilary K. Finucane Marcia Adams Muriel A. Adank Habibul Ahsan Kristiina Aittomäki Hoda Anton‐Culver Natalia Antonenkova Volker Arndt Kristan J. Aronson Banu K. Arun Paul L. Auer François Bacot Myrto Barrdahl Caroline Baynes Matthias W. Beckmann Sabine Behrens Javier Benı́tez Marina Bermisheva Leslie Bernstein Carl Blomqvist Natalia Bogdanova Stig E. Bojesen Bernardo Bonanni Anne‐Lise Børresen‐Dale Judith S. Brand Hiltrud Brauch Paul Brennan Hermann Brenner Louise A. Brinton Per Broberg Ian W. Brock Annegien Broeks Angela Brooks‐Wilson Sara Y. Brucker Thomas Brüning Barbara Burwinkel Katja Butterbach Qiuyin Cai Hui Cai Trinidad Caldés Federico Canzian Ángel Carracedo Brian D. Carter Jose E. Castelao Tsun Leung Chan Ting‐Yuan David Cheng Kee Seng Chia Ji‐Yeob Choi Hans Christiansen Christine L. Clarke Margriet Collée Don Conroy Emilie Cordina‐Duverger Sten Cornelissen David G. Cox Angela Cox Simon S. Cross Julie M. Cunningham Kamila Czene Mary B. Daly Peter Devilee Kimberly F. Doheny Thilo Dörk Isabel dos‐Santos‐Silva Martine Dumont Lorraine Durcan Miriam Dwek Diana Eccles Arif B. Ekici A. Heather Eliassen Carolina Ellberg Mingajeva Elvira Christoph Engel

10.1038/nature24284 article EN Nature 2017-10-20

This study examined correlates of pornography acceptance and use within a normative (nonclinical) population emerging adults (individuals aged 18—26). Participants included 813 university students (500 women; M age = 20 years) recruited from six college sites across the United States. completed online questionnaires regarding their pornography, as well sexual values activity, substance use, family formation values. Results revealed that roughly two thirds (67% ) young men one half (49%)...

10.1177/0743558407306348 article EN Journal of Adolescent Research 2007-12-17

We propose a fast and powerful analysis algorithm, titled Model-based Analysis of Tiling-arrays (MAT), to reliably detect regions enriched by transcription factor chromatin immunoprecipitation (ChIP) on Affymetrix tiling arrays (ChIP-chip). MAT models the baseline probe behavior considering sequence copy number each array. It standardizes value through model, eliminating need for sample normalization. uses an innovative function score ChIP enrichment, which allows robust P false discovery...

10.1073/pnas.0601180103 article EN Proceedings of the National Academy of Sciences 2006-08-09

Adaptation to hypoxia is mediated through a coordinated transcriptional response driven largely by hypoxia-inducible factor 1 (HIF-1). We used ChIP-chip and gene expression profiling identify direct targets of HIF-1 transactivation on genome-wide scale. Several hundred were identified and, as expected, highly enriched for proteins that facilitate metabolic adaptation hypoxia. Surprisingly, there was also striking enrichment the family 2-oxoglutarate dioxygenases, including jumonji-domain...

10.1073/pnas.0810067106 article EN Proceedings of the National Academy of Sciences 2009-03-03

Estrogen receptor-α (ER) is the driving transcription factor in most breast cancers, and its associated proteins can influence drug response, but direct methods for identifying interacting have been limited. We purified endogenous ER using an approach termed RIME (rapid immunoprecipitation mass spectrometry of proteins) discovered interactome under agonist- antagonist-liganded conditions cancer cells, revealing transcriptional networks cancer. The estrogen-enriched interactor GREB1, a...

10.1016/j.celrep.2013.01.010 article EN cc-by-nc-nd Cell Reports 2013-02-01

The cohesin protein complex holds sister chromatids in dividing cells together and is essential for chromosome segregation. Recently, has been implicated mediating transcriptional insulation, via its interactions with CTCF. Here, we show different cell types that functionally behaves as a tissue-specific regulator, independent of CTCF binding. By performing matched genome-wide binding assays (ChIP-seq) human breast cancer (MCF-7), discovered thousands genomic sites share estrogen receptor...

10.1101/gr.100479.109 article EN Genome Research 2010-03-10

Estrogen receptor (ESR1) drives growth in the majority of human breast cancers by binding to regulatory elements and inducing transcription events that promote tumor growth. Differences enhancer occupancy ESR1 contribute diverse expression profiles clinical outcome observed cancer patients. GATA3 is an ESR1-cooperating factor mutated tumors; however, its genomic properties are not fully defined. In order investigate composition enhancers involved estrogen-induced potential role GATA3, we...

10.1101/gr.139469.112 article EN cc-by-nc Genome Research 2012-11-21

Abstract The transcription factor GATA-3 is required for normal mammary gland development, and its expression highly correlated with estrogen receptor α (ERα) in human breast tumors. However, the functional role of ERα-positive cancers yet to be established. Here, we show that estradiol stimulation cell cycle progression cancer cells. signaling requires direct positive regulation ERα gene itself by GATA-3. binds two cis-regulatory elements located within gene, this RNA polymerase II...

10.1158/0008-5472.can-07-0746 article EN Cancer Research 2007-07-01

Estradiol (E2) regulates gene expression at the transcriptional level by functioning as a ligand for estrogen receptor alpha (ERα) and beta (ERβ). E2-inducible proteins c-Myc E2Fs are required optimal ERα activity secondary responses, respectively. We show that E2 induces 21 microRNAs represses seven in MCF-7 breast cancer cells; these have potential to control 420 E2-regulated 757 non-E2-regulated mRNAs post-transcriptional level. The serine/threonine kinase, AKT, alters of microRNAs....

10.1093/nar/gkp500 article EN cc-by-nc Nucleic Acids Research 2009-06-14
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