Randi Istrup Juul

ORCID: 0000-0001-7829-9071
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Research Areas
  • Cancer Genomics and Diagnostics
  • Genomics and Phylogenetic Studies
  • Evolution and Genetic Dynamics
  • Genomics and Chromatin Dynamics
  • Bioinformatics and Genomic Networks
  • Genetic factors in colorectal cancer
  • Cancer-related molecular mechanisms research
  • Chromosomal and Genetic Variations
  • RNA modifications and cancer
  • Genomics and Rare Diseases
  • Bladder and Urothelial Cancer Treatments
  • Epigenetics and DNA Methylation
  • Nutrition, Genetics, and Disease
  • DNA Repair Mechanisms
  • RNA Research and Splicing
  • Cancer Immunotherapy and Biomarkers
  • Cancer, Hypoxia, and Metabolism
  • Telomeres, Telomerase, and Senescence
  • Lung Cancer Treatments and Mutations
  • Genetics, Bioinformatics, and Biomedical Research
  • Genomic variations and chromosomal abnormalities
  • Mitochondrial Function and Pathology
  • Gene expression and cancer classification
  • Biological Research and Disease Studies
  • Radiomics and Machine Learning in Medical Imaging

Aarhus University Hospital
2020-2024

Aarhus University
2021-2024

Esther Rheinbay Morten Muhlig Nielsen Federico Abascal Jeremiah A. Wala Ofer Shapira and 95 more Grace Tiao Henrik Hornshøj Julian M. Hess Randi Istrup Juul Ziao Lin Lars Feuerbach Radhakrishnan Sabarinathan Tobias Madsen Jaegil Kim Loris Mularoni Shimin Shuai Andrés Lanzós Carl Herrmann Yosef E. Maruvka Ciyue Shen Samirkumar B. Amin Pratiti Bandopadhayay Johanna Bertl Keith A. Boroevich John Busanovich Joana Carlevaro-Fita Dimple Chakravarty Calvin Wing Yiu Chan David Craft Priyanka Dhingra Klev Diamanti Nuno A. Fonseca Abel González-Pérez Qianyun Guo Mark P. Hamilton Nicholas J. Haradhvala Hong Chen Keren Isaev Todd A. Johnson Malene Juul André Kahles Abdullah Kahraman Young-Wook Kim Jan Komorowski Kiran Kumar Sushant Kumar Donghoon Lee Kjong-Van Lehmann Yilong Li Eric Minwei Liu Lucas Lochovsky Keunchil Park Oriol Pich Nicola D. Roberts Gordon Saksena Steven E. Schumacher Nikos Sidiropoulos Lina Sieverling Nasa Sinnott-Armstrong Chip Stewart David Tamborero José M. C. Tubío Husen M. Umer Liis Uusküla-Reimand Claes Wadelius Lina Wadi Xiaotong Yao Cheng‐Zhong Zhang Jing Zhang James E. Haber Asger Hobolth Marcin Imieliński Manolis Kellis Michael S. Lawrence Christian von Mering Hidewaki Nakagawa Benjamin J. Raphael Mark A. Rubin Chris Sander Lincoln D. Stein Joshua M. Stuart Tatsuhiko Tsunoda David A. Wheeler Rory Johnson Jüri Reimand Mark Gerstein Ekta Khurana Peter J. Campbell Núria López-Bigas Federico Abascal Samirkumar B. Amin Gary D. Bader Pratiti Bandopadhayay Jonathan Barenboim Rameen Beroukhim Johanna Bertl Keith A. Boroevich Søren Brunak Peter J. Campbell Joana Carlevaro-Fita

The discovery of drivers cancer has traditionally focused on protein-coding genes

10.1038/s41586-020-1965-x article EN cc-by Nature 2020-02-05
Joana Carlevaro-Fita Andrés Lanzós Lars Feuerbach Chen Hong David Mas-Ponte and 95 more Jakob Skou Pedersen Federico Abascal Samirkumar B. Amin Gary D. Bader Jonathan Barenboim Rameen Beroukhim Johanna Bertl Keith A. Boroevich Søren Brunak Peter J. Campbell Joana Carlevaro-Fita Dimple Chakravarty Calvin Wing Yiu Chan Ken Chen Jung Kyoon Choi Jordi Deu-Pons Priyanka Dhingra Klev Diamanti Lars Feuerbach J. Lynn Fink Nuno A. Fonseca Joan Frigola Carlo Gambacorti‐Passerini Dale W. Garsed Mark Gerstein Gad Getz Abel González-Pérez Qianyun Guo Marta Gut David Haan Mark P. Hamilton Nicholas J. Haradhvala Arif Harmanci Mohamed Helmy Carl Herrmann Julian M. Hess Asger Hobolth Ermin Hodzic Chen Hong Henrik Hornshøj Keren Isaev José M. G. Izarzugaza Rory Johnson Todd A. Johnson Malene Juul Randi Istrup Juul André Kahles Abdullah Kahraman Manolis Kellis Ekta Khurana Seungchan Kim Jong K. Kim Young-Wook Kim Jan Komorowski Jan O. Korbel Sushant Kumar Andrés Lanzós Erik G. Larsson Michael S. Lawrence Dong-Hoon Lee Kjong-Van Lehmann Shantao Li Xiaotong Li Ziao Lin Eric Minwei Liu Lucas Lochovsky Shaoke Lou Tobias Madsen Kathleen Marchal Iñigo Martincorena Alexander Martínez-Fundichely Yosef E. Maruvka Patrick D. McGillivray Matthew Meyerson Ferran Muiños Loris Mularoni Hidewaki Nakagawa Morten Muhlig Nielsen Marta Paczkowska Keunchil Park Kiejung Park Jakob Skou Pedersen Oriol Pich Tirso Pons Sergio Pulido-Tamayo Benjamin J. Raphael Jüri Reimand Iker Reyes-Salazar Matthew A. Reyna Esther Rheinbay Mark A. Rubin Carlota Rubio-Pérez Radhakrishnan Sabarinathan S. Cenk Sahinalp Gordon Saksena

Abstract Long non-coding RNAs (lncRNAs) are a growing focus of cancer genomics studies, creating the need for resource lncRNAs with validated roles. Furthermore, it remains debated whether mutated can drive tumorigenesis, and such functions could be conserved during evolution. Here, as part ICGC/TCGA Pan-Cancer Analysis Whole Genomes (PCAWG) Consortium, we introduce Cancer LncRNA Census (CLC), compilation 122 GENCODE causal roles in phenotypes. In contrast to existing databases, CLC requires...

10.1038/s42003-019-0741-7 article EN cc-by Communications Biology 2020-02-05
Marta Paczkowska Jonathan Barenboim Nardnisa Sintupisut Natalie S. Fox Helen Zhu and 95 more Diala Abd-Rabbo Miles W. Mee Paul C. Boutros Federico Abascal Samirkumar B. Amin Gary D. Bader Rameen Beroukhim Johanna Bertl Keith A. Boroevich Søren Brunak Peter J. Campbell Joana Carlevaro-Fita Dimple Chakravarty Calvin Wing Yiu Chan Ken Chen Jung Kyoon Choi Jordi Deu-Pons Priyanka Dhingra Klev Diamanti Lars Feuerbach J. Lynn Fink Nuno A. Fonseca Joan Frigola Carlo Gambacorti‐Passerini Dale W. Garsed Mark Gerstein Gad Getz Abel González-Pérez Qianyun Guo Marta Gut David Haan Mark Hamilton Nicholas J. Haradhvala Arif Harmanci Mohamed Helmy Carl Herrmann Julian M. Hess Asger Hobolth Ermin Hodzic Chen Hong Henrik Hornshøj Keren Isaev José M. G. Izarzugaza Rory Johnson Todd A. Johnson Malene Juul Randi Istrup Juul André Kahles Abdullah Kahraman Manolis Kellis Ekta Khurana Jaegil Kim Jong K. Kim Young-Wook Kim Jan Komorowski Jan O. Korbel Sushant Kumar Andrés Lanzós Michael S. Lawrence Dong-Hoon Lee Kjong-Van Lehmann Shantao Li Xiaotong Li Ziao Lin Eric Minwei Liu Lucas Lochovsky Shaoke Lou Tobias Madsen Kathleen Marchal Iñigo Martincorena Alexander Martínez-Fundichely Yosef E. Maruvka Patrick D. McGillivray William Meyerson Ferran Muiños Loris Mularoni Hidewaki Nakagawa Morten Muhlig Nielsen Keunchil Park Kiejung Park Jakob Skou Pedersen Oriol Pich Tirso Pons Sergio Pulido-Tamayo Benjamin J. Raphael Iker Reyes-Salazar Matthew A. Reyna Esther Rheinbay Mark A. Rubin Carlota Rubio-Pérez Radhakrishnan Sabarinathan S. Cenk Şahinalp Gordon Saksena Leonidas Salichos Chris Sander

Multi-omics datasets represent distinct aspects of the central dogma molecular biology. Such high-dimensional profiles pose challenges to data interpretation and hypothesis generation. ActivePathways is an integrative method that discovers significantly enriched pathways across multiple using statistical fusion, rationalizes contributing evidence highlights associated genes. As part ICGC/TCGA Pan-Cancer Analysis Whole Genomes (PCAWG) Consortium, which aggregated whole genome sequencing from...

10.1038/s41467-019-13983-9 article EN cc-by Nature Communications 2020-02-05
Matthew A. Reyna David Haan Marta Paczkowska Lieven P. C. Verbeke Miguél Vázquez and 95 more Abdullah Kahraman Sergio Pulido-Tamayo Jonathan Barenboim Lina Wadi Priyanka Dhingra Raunak Shrestha Gad Getz Michael S. Lawrence Jakob Skou Pedersen Mark A. Rubin David A. Wheeler Søren Brunak José M. G. Izarzugaza Ekta Khurana Kathleen Marchal Christian von Mering S. Cenk Şahinalp Alfonso Valencia Federico Abascal Samirkumar B. Amin Gary D. Bader Pratiti Bandopadhayay Rameen Beroukhim Johanna Bertl Keith A. Boroevich John Busanovich Peter J. Campbell Joana Carlevaro-Fita Dimple Chakravarty Calvin Wing Yiu Chan Ken Chen Jung Kyoon Choi Jordi Deu-Pons Klev Diamanti Lars Feuerbach J. Lynn Fink Nuno A. Fonseca Joan Frigola Carlo Gambacorti‐Passerini Dale W. Garsed Mark Gerstein Qianyun Guo Marta Gut Mark P. Hamilton Nicholas J. Haradhvala Arif Harmanci Mohamed Helmy Carl Herrmann Julian M. Hess Asger Hobolth Ermin Hodzic Chen Hong Henrik Hornshøj Keren Isaev Rory Johnson Todd A. Johnson Malene Juul Randi Istrup Juul André Kahles Manolis Kellis Seungchan Kim Jong K. Kim Young-Wook Kim Jan Komorowski Jan O. Korbel Sushant Kumar Andrés Lanzós Erik Larsson Donghoon Lee Kjong-Van Lehmann Shantao Li Xiaotong Li Ziao Lin Eric Minwei Liu Lucas Lochovsky Shaoke Lou Tobias Madsen Iñigo Martincorena Alexander Martínez-Fundichely Yosef E. Maruvka Patrick D. McGillivray William Meyerson Ferran Muiños Loris Mularoni Hidewaki Nakagawa Morten Muhlig Nielsen Keunchil Park Kiejung Park Tirso Pons Iker Reyes-Salazar Esther Rheinbay Carlota Rubio-Pérez Gordon Saksena Leonidas Salichos Chris Sander

Abstract The catalog of cancer driver mutations in protein-coding genes has greatly expanded the past decade. However, non-coding are less well-characterized and only a handful recurrent mutations, most notably TERT promoter have been reported. Here, as part ICGC/TCGA Pan-Cancer Analysis Whole Genomes (PCAWG) Consortium, which aggregated whole genome sequencing data from 2658 across 38 tumor types, we perform multi-faceted pathway network analyses 2583 genomes 27 types compiled by PCAWG...

10.1038/s41467-020-14367-0 article EN cc-by Nature Communications 2020-02-05
Shimin Shuai Federico Abascal Samirkumar B. Amin Gary D. Bader Pratiti Bandopadhayay and 95 more Jonathan Barenboim Rameen Beroukhim Johanna Bertl Keith A. Boroevich Søren Brunak Peter J. Campbell Joana Carlevaro-Fita Dimple Chakravarty Calvin Wing Yiu Chan Ken Chen Jung Kyoon Choi Jordi Deu-Pons Priyanka Dhingra Klev Diamanti Lars Feuerbach J. Lynn Fink Nuno A. Fonseca Joan Frigola Carlo Gambacorti‐Passerini Dale W. Garsed Mark Gerstein Gad Getz Qianyun Guo Marta Gut David Haan Mark P. Hamilton Nicholas J. Haradhvala Arif O. Harmanci Mohamed Helmy Carl Herrmann Julian M. Hess Asger Hobolth Ermin Hodzic Hong Chen Henrik Hornshøj Keren Isaev José M. G. Izarzugaza Rory Johnson Todd A. Johnson Malene Juul Randi Istrup Juul André Kahles Abdullah Kahraman Manolis Kellis Ekta Khurana Jaegil Kim Jong-Kwang Kim Young-Wook Kim Jan Komorowski Jan O. Korbel Sushant Kumar Andrés Lanzós Erik G. Larsson Michael S. Lawrence Donghoon Lee Kjong-Van Lehmann Shantao Li Xiaotong Li Ziao Lin Eric Minwei Liu Lucas Lochovsky Shaoke Lou Tobias Madsen Kathleen Marchal Iñigo Martincorena Alexander Martínez-Fundichely Yosef E. Maruvka Patrick D. McGillivray Matthew Meyerson Ferran Muiños Loris Mularoni Hidewaki Nakagawa Morten Muhlig Nielsen Marta Paczkowska Keunchil Park Kiejung Park Jakob Skou Pedersen Tirso Pons Sergio Pulido-Tamayo Benjamin J. Raphael Jüri Reimand Iker Reyes-Salazar Matthew A. Reyna Esther Rheinbay Mark A. Rubin Carlota Rubio-Pérez S. Cenk Şahinalp Gordon Saksena Leonidas Salichos Chris Sander Steven E. Schumacher Mark Shackleton Ofer Shapira Ciyue Shen Raunak Shrestha

Abstract The discovery of driver mutations is one the key motivations for cancer genome sequencing. Here , as part ICGC/TCGA Pan-Cancer Analysis Whole Genomes (PCAWG) Consortium which aggregated whole sequencing data from 2658 cancers across 38 tumour types, we describe DriverPower, a software package that uses mutational burden and functional impact evidence to identify in coding non-coding sites within genomes. Using total 1373 genomic features derived public sources, DriverPower’s...

10.1038/s41467-019-13929-1 article EN cc-by Nature Communications 2020-02-05

Abstract T cells are key effector in the adaptive immune system, playing a central role defense against pathogens. However, as we age, undergo functional decline due to immunosenescence, gradual decay of system with age. This negatively affects function and composition cells, leading an increased susceptibility age-related diseases, such cancer. We hypothesized that characterization peripheral blood cell receptor (TCR) repertoire has potential provide insights into current state serve...

10.1158/1538-7445.am2025-5083 article EN Cancer Research 2025-04-21

Abstract Large sets of whole cancer genomes make it possible to study mutation hotspots genome-wide. Here we detect, categorize, and characterize site-specific using 2279 from the Pan-Cancer Analysis Whole Genomes project provide a resource annotated We investigate excess in both protein-coding gene regulatory regions develop measures positive selection functional impact for individual hotspots. Using allele fractions, expression aberrations, mutational signatures, variety genomic features,...

10.1038/s41525-021-00197-6 article EN cc-by npj Genomic Medicine 2021-05-13

Abstract Bladder cancer is the sixth most common overall, and treatment often involves removal of bladder, which comes with a significant reduction in quality life. Within this type, an easily applicable prognostic biomarker may have clinical utility, potentially stratifying patients into bladder-sparing treatments. Expansion T cell populations targeting cancer-specific neoantigens early response to malignancy. To investigate if receptor (TCR) repertoire could serve as for progression, we...

10.1158/1538-7445.am2024-5216 article EN Cancer Research 2024-03-22

Cancer mutations accumulate through replication errors and DNA damage coupled with incomplete repair. Individual mutational processes often show nucleotide sequence functional region preferences. As a result, some contexts mutate at much higher rates than others, additional variation found between regions. Mutational hotspots, recurrent across cancer samples, represent genomic positions elevated mutation rates, caused by highly localized processes.We count the 11-mer sequences genome, using...

10.1186/s13073-023-01217-z article EN cc-by Genome Medicine 2023-08-17

Abstract T cells represent essential effector in the intrinsic antitumor immune response. Cancer-specific can recognize cancer neoantigens through their cell receptors (TCRs). The expansion of these clones is believed to be an early response malignancy. We hypothesized that landscape offers insights into competency. aimed characterize TCR repertoire patients with bladder and explore correlations disease outcomes. analyzed a cohort 119 muscle-invasive (MIBC) treated chemotherapy followed by...

10.1158/1557-3265.bladder24-pr003 article EN Clinical Cancer Research 2024-05-17

Summary T cells are one of the primary effector in endogenous defense against cancer, yet clinical impact their quantity, diversity, and dynamics remains underexplored. Here we investigated relevance cell receptor (TCR) repertoire patients with bladder cancer. In advanced-stage low pre-treatment peripheral TCR diversity was associated worse overall survival (p=0.024), particularly when it coincided a fraction circulating (p=0.00049). The low-diversity repertoires were dominated by expanded...

10.1101/2024.05.30.596555 preprint EN cc-by-nc-nd bioRxiv (Cold Spring Harbor Laboratory) 2024-06-02

Abstract Background Cancer mutations accumulate through replication errors and DNA damage coupled with incomplete repair. Individual mutational processes often show strong sequence regional preferences. As a result, some contexts mutate at much higher rates than others. Mutational hotspots, recurrent across cancer samples, represent genomic positions elevated mutation rates, caused by highly localized processes. Results We analyze the of all 11-mer using PCAWG set 2,583 pan-cancer whole...

10.1101/2021.10.27.465848 preprint EN cc-by bioRxiv (Cold Spring Harbor Laboratory) 2021-10-28
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