Carl Herrmann

ORCID: 0000-0003-4989-4722
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • Cancer Genomics and Diagnostics
  • Neuroblastoma Research and Treatments
  • Genomics and Chromatin Dynamics
  • Epigenetics and DNA Methylation
  • Genomics and Phylogenetic Studies
  • Bioinformatics and Genomic Networks
  • Single-cell and spatial transcriptomics
  • Cancer-related molecular mechanisms research
  • Gene expression and cancer classification
  • RNA modifications and cancer
  • Cancer, Hypoxia, and Metabolism
  • Protein Degradation and Inhibitors
  • Black Holes and Theoretical Physics
  • Glioma Diagnosis and Treatment
  • Multiple Myeloma Research and Treatments
  • Genetics, Bioinformatics, and Biomedical Research
  • Chromosomal and Genetic Variations
  • Immune Cell Function and Interaction
  • Circular RNAs in diseases
  • Acute Myeloid Leukemia Research
  • Evolution and Genetic Dynamics
  • Cancer-related gene regulation
  • Cosmology and Gravitation Theories
  • Particle physics theoretical and experimental studies
  • Genetic Associations and Epidemiology

Heidelberg University
2016-2025

University Hospital Heidelberg
2018-2025

Heidelberg University
2020-2024

Harvard University
2024

Massachusetts General Hospital
2024

German Cancer Research Center
2014-2023

DKFZ-ZMBH Alliance
2014-2021

Aix-Marseille Université
2009-2015

Inserm
2004-2015

Theories and Approaches of Genomic Complexity
2011-2015

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

Abstract Transcriptional reprogramming of proliferative melanoma cells into a phenotypically distinct invasive cell subpopulation is critical event at the origin metastatic spreading. Here we generate transcriptome, open chromatin and histone modification maps cultures; integrate this data with existing transcriptome DNA methylation profiles from tumour biopsies to gain insight mechanisms underlying key event. This shows thousands genomic regulatory regions states, identifying SOX10/MITF...

10.1038/ncomms7683 article EN cc-by Nature Communications 2015-04-09

RSAT (Regulatory Sequence Analysis Tools) is a modular software suite for the analysis of cisregulatory elements in genome sequences.Its main applications are (i) motif discovery, appropriate to genome-wide data sets like ChIP-seq, (ii) transcription factor binding (quality assessment, comparisons and clustering), (iii) comparative genomics (iv) regulatory variations.Nine new programs have been added 43 described 2011 NAR Web Software Issue, including tool extract sequences from list...

10.1093/nar/gkv362 article EN cc-by-nc Nucleic Acids Research 2015-04-22

RSAT (Regulatory Sequence Analysis Tools) comprises a wide collection of modular tools for the detection cis-regulatory elements in genome sequences. Thirteen new programs have been added to 30 described 2008 NAR Web Software Issue, including an automated sequence retrieval from EnsEMBL (retrieve-ensembl-seq), two novel motif discovery algorithms (oligo-diff and info-gibbs), 100-times faster version matrix-scan enabling scanning genome-scale sets, series facilities random model generation...

10.1093/nar/gkr377 article EN cc-by-nc Nucleic Acids Research 2011-06-29

ChIP-seq is increasingly used to characterize transcription factor binding and chromatin marks at a genomic scale. Various tools are now available extract motifs from peak data sets. However, most approaches only as command-line programs, or via website but with size restrictions. We present peak-motifs , computational pipeline that discovers in sequences, compares them databases, exports putative sites for visualization the UCSC genome browser generates an extensive report suited both naive...

10.1093/nar/gkr1104 article EN cc-by-nc Nucleic Acids Research 2011-12-08

Integrative analysis of multi-omics layers at single cell level is critical for accurate dissection cell-to-cell variation within certain populations. Here we report scCAT-seq, a technique simultaneously assaying chromatin accessibility and the transcriptome same cell. We show that combined signatures enable construction regulatory relationships between cis-regulatory elements target genes single-cell resolution, providing new dimension features helps direct discovery patterns specific to...

10.1038/s41467-018-08205-7 article EN cc-by Nature Communications 2019-01-28
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

Abstract Aberrant expression of MYC transcription factor family members predicts poor clinical outcome in many human cancers. Oncogenic profoundly alters metabolism and mediates an antioxidant response to maintain redox balance. Here we show that MYCN induces massive lipid peroxidation on depletion cysteine, the rate-limiting amino acid for glutathione (GSH) biosynthesis, sensitizes cells ferroptosis, oxidative, non-apoptotic iron-dependent type cell death. The high cysteine demand...

10.1038/s43018-022-00355-4 article EN cc-by Nature Cancer 2022-04-28

Exacerbated pro-inflammatory immune response contributes to COVID-19 pathology. However, despite the mounting evidence about SARS-CoV-2 infecting human gut, little is known antiviral programs triggered in this organ. To address gap, we performed single-cell transcriptomics of SARS-CoV-2-infected intestinal organoids. We identified a subpopulation enterocytes as prime target and, interestingly, found lack positive correlation between susceptibility infection and expression ACE2. Infected...

10.15252/msb.202110232 article EN cc-by Molecular Systems Biology 2021-04-01

Abstract Circulating tumor cells (CTCs) drive metastasis, the leading cause of death in individuals with breast cancer. Due to their low abundance circulation, robust CTC expansion protocols are urgently needed effectively study disease progression and therapy responses. Here we present establishment long-term CTC-derived organoids from female metastatic Multiomics analysis along preclinical modeling xenografts identified neuregulin 1 (NRG1)–ERBB2 receptor tyrosine kinase 3 ( ERBB3 /HER3)...

10.1038/s43018-024-00882-2 article EN cc-by Nature Cancer 2025-01-03

The field of regulatory genomics today is characterized by the generation high-throughput data sets that capture genome-wide transcription factor (TF) binding, histone modifications, or DNAseI hypersensitive regions across many cell types and conditions. In this context, a critical question how to make optimal use these publicly available datasets when studying transcriptional regulation. Here, we address in Drosophila melanogaster for which large number are available. We developed...

10.1093/nar/gks543 article EN cc-by-nc Nucleic Acids Research 2012-06-20

ChIP-seq has become a widely adopted genomic assay in recent years to determine binding sites for transcription factors or enrichments specific histone modifications. Beside detection of enriched bound regions, an important question is differences between conditions. While this common analysis gene expression, which large number computational approaches have been validated, the same particularly challenging owing complexity data terms noisiness and variability. Many different tools developed...

10.1093/bib/bbv110 article EN cc-by-nc Briefings in Bioinformatics 2016-01-13

The broad clinical spectrum of neuroblastoma ranges from spontaneous regression to rapid progression despite intensive multimodal therapy. This diversity is not fully explained by known genetic aberrations, suggesting the possibility epigenetic involvement in pathogenesis. In pursuit this hypothesis, we took an integrative approach analyze methylomes, transcriptomes, and copy number variations 105 cases neuroblastoma, complemented primary tumor- cell line-derived global histone modification...

10.1158/0008-5472.can-15-2507 article EN Cancer Research 2016-09-08

Article24 March 2016Open Access Transparent process Environment-induced epigenetic reprogramming in genomic regulatory elements smoking mothers and their children Tobias Bauer orcid.org/0000-0002-4961-3639 Division of Theoretical Bioinformatics, German Cancer Research Center (DKFZ), Heidelberg, Germany Search for more papers by this author Saskia Trump Department Environmental Immunology, Helmholtz Centre Leipzig - UFZ, Leipzig, Naveed Ishaque Heidelberg Personalized Oncology, DKFZ-HIPO,...

10.15252/msb.20156520 article EN cc-by Molecular Systems Biology 2016-03-01

Abstract Chromosome 17q gains are almost invariably present in high-risk neuroblastoma cases. Here, we perform an integrative epigenomics search for dosage-sensitive transcription factors on marked by H3K27ac defined super-enhancers and identify TBX2 as top candidate gene. We show that is a constituent of the recently established core regulatory circuitry with features cell identity factor, driving proliferation through activation p21-DREAM repressed FOXM1 target genes. Combined MYCN/TBX2...

10.1038/s41467-018-06699-9 article EN cc-by Nature Communications 2018-11-13
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
Coming Soon ...