4.8 Article

Nucleosome regulatory dynamics in response to TGFβ

期刊

NUCLEIC ACIDS RESEARCH
卷 42, 期 11, 页码 6921-6934

出版社

OXFORD UNIV PRESS
DOI: 10.1093/nar/gku326

关键词

-

资金

  1. Swedish Research Council [521-2010-3505, 621-2011-6052]
  2. Diabetes Foundation, Sweden
  3. Ernfors Family Foundation
  4. Diabetes Wellness Network, Sverige
  5. Network of Excellence 'ENFIN', European Union [LSHG-CT-2005-518254]
  6. Polish Ministry of Science and Higher Education [N301 239536]
  7. eSSENCE Program

向作者/读者索取更多资源

Nucleosomes play important roles in a cell beyond their basal functionality in chromatin compaction. Their placement affects all steps in transcriptional regulation, from transcription factor (TF) binding to messenger ribonucleic acid (mRNA) synthesis. Careful profiling of their locations and dynamics in response to stimuli is important to further our understanding of transcriptional regulation by the state of chromatin. We measured nucleosome occupancy in human hepatic cells before and after treatment with transforming growth factor beta 1 (TGF beta 1), using massively parallel sequencing. With a newly developed method, SuMMIt, for precise positioning of nucleosomes we inferred dynamics of the nucleosomal landscape. Distinct nucleosome positioning has previously been described at transcription start site and flanking TF binding sites. We found that the average pattern is present at very few sites and, in case of TF binding, the double peak surrounding the sites is just an artifact of averaging over many loci. We systematically searched for depleted nucleosomes in stimulated cells compared to unstimulated cells and identified 24 318 loci. Depending on genomic annotation, 44-78% of them were over-represented in binding motifs for TFs. Changes in binding affinity were verified for HNF4 alpha by qPCR. Strikingly many of these loci were associated with expression changes, as measured by RNA sequencing.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.8
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

Article Biochemistry & Molecular Biology

Endogenous retroviruses co-opted as divergently transcribed regulatory elements shape the regulatory landscape of embryonic stem cells

Stylianos Bakoulis, Robert Krautz, Nicolas Alcaraz, Marco Salvatore, Robin Andersson

Summary: Transposable elements are an abundant source of transcription factor binding sites, and they regulate gene expression in specific cell types through their association with open chromatin regions. Different subfamilies of transposable elements contribute differently to pluripotency regulatory programs through their repertoires of transcription factor binding site sequences.

NUCLEIC ACIDS RESEARCH (2022)

Article Oncology

Machine Learning-Based Analysis of Glioma Grades Reveals Co-Enrichment

Mateusz Garbulowski, Karolina Smolinska, Ugur Cabuk, Sara A. Yones, Ludovica Celli, Esma Nur Yaz, Fredrik Barrenas, Klev Diamanti, Claes Wadelius, Jan Komorowski

Summary: This study developed a methodology that corrected batch effects in glioma data and identified co-enrichment mechanisms for glioma grading using machine learning. The findings suggest potential therapeutic targets and validate the usefulness of the approach for future studies.

CANCERS (2022)

Article Hematology

Transcriptomic analysis reveals proinflammatory signatures associated with acute myeloid leukemia progression

Svea Stratmann, Sara A. Yones, Mateusz Garbulowski, Jitong Sun, Aron Skaftason, Markus Mayrhofer, Nina Norgren, Morten Krogh Herlin, Christer Sundstrom, Anna Eriksson, Martin Hoglund, Josefine Palle, Jonas Abrahamsson, Kirsi Jahnukainen, Monica Cheng Munthe-Kaas, Bernward Zeller, Katja Pokrovskaja Tamm, Lucia Cavelier, Jan Komorowski, Linda Holmfeldt

Summary: Numerous studies have been conducted to understand the genomic and transcriptomic lesions driving acute myeloid leukemia (AML) initiation. However, there is limited knowledge about the molecular characteristics of longitudinal AML samples and the challenges of relapse and therapy resistance. Our study identified differentially expressed genes associated with short event-free survival and AML relapse, providing insights into AML progression and potential personalized drug targets.

BLOOD ADVANCES (2022)

News Item Biochemical Research Methods

Methods for fighting emerging pathogens

Luiz Carlos Junior Alcantara, Lucas Amenga-Etego, Robin Andersson, Moumita Bhaumik, Young Ki Choi, Helene Decaluwe, Jemma Geoghegan, Bart L. Haagmans, Susana Lopez, Maowia M. Mukhtar, Erni Nelwan, Elias A. Rahal, Kei Sato, Ella H. Sklan, Yvonne Su Chuan Fang

Summary: The article gathers opinions from scientists around the globe regarding the necessary basic research methods, tools, and resources to combat future emerging pathogenic threats.

NATURE METHODS (2022)

Article Oncology

Next Generation Plasma Proteomics Identifies High-Precision Biomarker Candidates for Ovarian Cancer

Ulf Gyllensten, Julia Hedlund-Lindberg, Johanna Svensson, Johanna Manninen, Torbjorn Ost, Jon Ramsell, Matilda Aslin, Emma Ivansson, Marta Lomnytska, Maria Lycke, Tomas Axelsson, Ulrika Liljedahl, Jessica Nordlund, Per-Henrik Edqvist, Tobias Sjoblom, Mathias Uhlen, Karin Stalberg, Karin Sundfeldt, Mikael Aberg, Stefan Enroth

Summary: Ovarian cancer is the eighth most common cancer in women, but its survival rate is low. Current biomarkers for early detection of cancer lack sensitivity and specificity, and new biomarkers are needed. This study measured protein biomarkers and found that combinations of 4-7 proteins can accurately detect early- and late-stage ovarian cancer.

CANCERS (2022)

Article Genetics & Heredity

Genome-wide association analyses of physical activity and sedentary behavior provide insights into underlying mechanisms and roles in disease prevention

Zhe Wang, Andrew Emmerich, Nicolas J. Pillon, Tim Moore, Daiane Hemerich, Marilyn C. Cornelis, Eugenia Mazzaferro, Siacia Broos, Tarunveer S. Ahluwalia, Traci M. Bartz, Amy R. Bentley, Lawrence F. Bielak, Mike Chong, Audrey Y. Chu, Diane Berry, Rajkumar Dorajoo, Nicole D. Dueker, Elisa Kasbohm, Bjarke Feenstra, Mary F. Feitosa, Christian Gieger, Mariaelisa Graff, Leanne M. Hall, Toomas Haller, Fernando P. Hartwig, David A. Hillis, Ville Huikari, Nancy Heard-Costa, Christina Holzapfel, Anne U. Jackson, Asa Johansson, Anja Moltke Jorgensen, Marika A. Kaakinen, Robert Karlsson, Kathleen F. Kerr, Boram Kim, Chantal M. Koolhaas, Zoltan Kutalik, Vasiliki Lagou, Penelope A. Lind, Mattias Lorentzon, Leo-Pekka Lyytikainen, Massimo Mangino, Christoph Metzendorf, Kristine R. Monroe, Alexander Pacolet, Louis Perusse, Rene Pool, Rebecca C. Richmond, Natalia Rivera, Sebastien Robiou-Du-Pont, Katharina E. Schraut, Christina-Alexandra Schulz, Heather M. Stringham, Toshiko Tanaka, Alexander Teumer, Constance Turman, Peter J. Van der Most, Mathias Vanmunster, Frank J. A. Van Rooij, Jana V. Van Vliet-Ostaptchouk, Xiaoshuai Zhang, Jing-Hua Zhao, Wei Zhao, Zhanna Balkhiyarova, Marie N. Balslev-Harder, Sebastian E. Baumeister, John Beilby, John Blangero, Dorret Boomsma, Soren Brage, Peter S. Braund, Jennifer A. Brody, Marcel Bruinenberg, Ulf Ekelund, Ching-Ti Liu, John W. Cole, Francis S. Collins, L. Adrienne Cupples, Tonu Esko, Stefan Enroth, Jessica D. Faul, Lindsay Fernandez-Rhodes, Alison E. Fohner, Oscar H. Franco, Tessel E. Galesloot, Scott D. Gordon, Niels Grarup, Catharina A. Hartman, Gerardo Heiss, Jennie Hui, Thomas Illig, Russell Jago, Alan James, Peter K. Joshi, Taeyeong Jung, Mika Kahonen, Tuomas O. Kilpelainen, Woon-Puay Koh, Ivana Kolcic, Peter P. Kraft, Johanna Kuusisto, Lenore J. Launer, Aihua Li, Allan Linneberg, Jian'An Luan, Pedro Marques Vidal, Sarah E. Medland, Yuri Milaneschi, Arden Moscati, Bill Musk, Christopher P. Nelson, Ilja M. Nolte, Nancy L. Pedersen, Annette Peters, Patricia A. Peyser, Christine Power, Olli T. Raitakari, Magi Reedik, Alex P. Reiner, Paul M. Ridker, Igor Rudan, Kathy Ryan, Mark A. Sarzynski, Laura J. Scott, Robert A. Scott, Stephen Sidney, Kristin Siggeirsdottir, Albert Smith, Jennifer A. Smith, Emily Sonestedt, Marin Strom, E. Shyong Tai, Koon K. Teo, Barbara Thorand, Anke Toenjes, Angelo Tremblay, Andre G. Uitterlinden, Jagadish Vangipurapu, Natasja Van Schoor, Uwe Volker, Gonneke Willemsen, Kayleen Williams, Quenna Wong, Huichun Xu, Kristin L. Young, Jian Min Yuan, M. Carola Zillikens, Alan B. Zonderman, Adam Ameur, Stefania Bandinelli, Joshua C. Bis, Michael Boehnke, Claude Bouchard, Daniel Chasman, George Davey Smith, Eco J. C. De Geus, Louise Deldicque, Marcus Dorr, Michele K. Evans, Luigi Ferrucci, Myriam Fornage, Caroline Fox, Theodore Garland, Vilmundur Gudnason, Ulf Gyllensten, Torben Hansen, Caroline Hayward, Bernardo L. Horta, Elina Hypponen, Marjo-Riitta Jarvelin, W. Craig Johnson, Sharon L. R. Kardia, Lambertus A. Kiemeney, Markku Laakso, Claudia Langenberg, Terho Lehtimaki, Loic Le Marchand, Patrik K. E. Magnusson, Nicholas G. Martin, Mads Melbye, Andres Metspalu, David Meyre, Kari E. North, Claes Ohlsson, Albertine J. Oldehinkel, Marju Orho-Melander, Guillaume Pare, Taesung Park, Oluf Pedersen, Brenda W. J. H. Penninx, Tune H. Pers, Ozren Polasek, Inga Prokopenko, Charles N. Rotimi, Nilesh J. Samani, Xueling Sim, Harold Snieder, Thorkild I. A. Sorensen, Tim D. Spector, Nicholas J. Timpson, Rob M. Van Dam, Nathalie Van der Velde, Cornelia M. Van Duijn, Peter Vollenweider, Henry Volzke, Trudy Voortman, Gerard Waeber, Nicholas J. Wareham, David R. Weir, Heinz-Erich Wichmann, James F. Wilson, Andrea L. Hevener, Anna Krook, Juleen R. Zierath, Martine A. Thomis, Ruth J. F. Loos, Marcel Den Hoed

Summary: Physical activity and sedentary behavior have genetic components, and this study identified 99 genetic loci associated with self-reported physical activity, leisure screen time, and sedentary behavior. Some genetic variants were found to affect muscle function and possibly protect against exercise-induced muscle damage. Mendelian randomization analyses also revealed that the beneficial effects of reducing sedentary behavior and increasing physical activity on health outcomes may be mediated or confounded by body mass index.

NATURE GENETICS (2022)

Review Biochemistry & Molecular Biology

Current challenges in understanding the role of enhancers in disease

Judith Barbara Zaugg, Pelin Sahlen, Robin Andersson, Meritxell Alberich-Jorda, Wouter de Laat, Bart Deplancke, Jorge Ferrer, Susanne Mandrup, Gioacchino Natoli, Dariusz Plewczynski, Alvaro Rada-Iglesias, Salvatore Spicuglia

Summary: Enhancers are crucial for the spatiotemporal control of gene expression and are cell-type-specific. They are suggested to contribute to phenotypic variation, evolution, and disease. Dysfunction of enhancers, caused by genetic, structural, or epigenetic mechanisms, has been linked to a broad range of human diseases, known as enhanceropathies. Understanding how enhancer dysfunction affects gene expression remains a challenge.

NATURE STRUCTURAL & MOLECULAR BIOLOGY (2022)

Article Biology

Promoter sequence and architecture determine expression variability and confer robustness to genetic variants

Hjoerleifur Einarsson, Marco Salvatore, Christian Vaagenso, Nicolas Alcaraz, Jette Bornholdt, Sarah Rennie, Eduardo Eyras, Robin Andersson

Summary: This study investigates the relationship between the sequence and transcription start site architectures of promoters and their expression variability across human individuals. The results show that expression variability can be largely explained by a promoter's DNA sequence and its binding sites for specific transcription factors. Additionally, the study reveals a trade-off between stability and plasticity for different types of genes.
Article Biochemistry & Molecular Biology

Transcription factor expression is the main determinant of variability in gene co-activity

Lucas van Duin, Robert Krautz, Sarah Rennie, Robin Andersson

Summary: This study investigates the regulatory determinants of gene co-activity in genomic domains using individual variation in gene expression. The researchers identify co-regulatory processes underlying co-activity and quantify their effect sizes. They find that transcription factor expression levels are the main determinant of gene co-activity, with distal trans effects contributing more than local genetic variation.

MOLECULAR SYSTEMS BIOLOGY (2023)

Article Chemistry, Analytical

MindReader: Unsupervised Classification of Electroencephalographic Data

Salvador Daniel Rivas-Carrillo, Evgeny E. E. Akkuratov, Hector Valdez Ruvalcaba, Angel Vargas-Sanchez, Jan Komorowski, Daniel San-Juan, Manfred G. G. Grabherr

Summary: Electroencephalogram (EEG) interpretation is crucial in assessing neurological conditions, especially epilepsy. Manual analysis of EEG recordings is time-consuming and expensive. Automatic detection, like MindReader, offers the potential to shorten diagnosis time and optimize resource allocation. MindReader utilizes an autoencoder network, hidden Markov model (HMM), and generative component to generate labels for pathological and non-pathological phases, reducing the search space for trained personnel. Evaluation on 686 recordings showed MindReader's high sensitivity in detecting epileptic events (99.45%).

SENSORS (2023)

Article Geriatrics & Gerontology

Pooled analysis of frontal lobe transcriptomic data identifies key mitophagy gene changes in Alzheimer's disease brain

Taoyu Mei, Yuan Li, Anna Orduna Dolado, Zhiquan Li, Robin Andersson, Laura Berliocchi, Lene Juel Rasmussen

Summary: The growing prevalence of Alzheimer's disease (AD) is a global health challenge without effective treatments. Defective mitochondrial function and mitophagy have been suggested as etiological factors in AD. This study integrated transcriptomic data from AD and healthy patients to identify mitophagy-related genes and validate their expression changes in AD-relevant human in vitro models.

FRONTIERS IN AGING NEUROSCIENCE (2023)

Article Genetics & Heredity

Transfer learning identifies sequence determinants of cell-type specific regulatory element accessibility

Marco Salvatore, Marc Horlacher, Annalisa Marsico, Ole Winther, Robin Andersson

Summary: Dysfunction of regulatory elements through genetic variants is a central mechanism in disease pathogenesis. Deep learning methods have shown promise in modeling biomolecular data from DNA sequence but require large input data for training. ChromTransfer, a transfer learning method, utilizes a pre-trained model of open chromatin regions to fine-tune on regulatory sequences and demonstrates superior performance in learning cell-type specific chromatin accessibility. It is able to fine-tune on small input data with minimal decrease in accuracy and utilizes sequence features matching binding site sequences of key transcription factors for prediction, making it a promising tool for learning the regulatory code.

NAR GENOMICS AND BIOINFORMATICS (2023)

Article Cell Biology

Organ-specific metabolic pathways distinguish prediabetes, type 2 diabetes, and normal tissues

Klev Diamanti, Marco Cavalli, Maria J. Pereira, Gang Pan, Casimiro Castillejo-Lopez, Chanchal Kumar, Filip Mundt, Jan Komorowski, Atul S. Deshmukh, Matthias Mann, Olle Korsgren, Jan W. Eriksson, Claes Wadelius

Summary: Environmental and genetic factors contribute to defects in pancreatic islets and insulin resistance in type 2 diabetes (T2D). Through proteomic analysis of multiple metabolic tissues, we identified tissue-specific metabolic dysregulations in T2D, including inflammatory, immune, and vascular alterations.

CELL REPORTS MEDICINE (2022)

Article Medicine, Research & Experimental

Data-driven analysis of a validated risk score for ovarian cancer identifies clinically distinct patterns during follow-up and treatment

Stefan Enroth, Emma Ivansson, Julia Hedlund Lindberg, Maria Lycke, Jessica Bergman, Anna Reneland, Karin Stalberg, Karin Sundfeldt, Ulf Gyllensten

Summary: This study developed a risk score based on an 11-protein plasma assay to distinguish between benign and malignant ovarian tumors. The assay showed robust performance in diagnostic work-up and predicting clinical course.

COMMUNICATIONS MEDICINE (2022)

Meeting Abstract Veterinary Sciences

Interleukin-15 response signature predicts RhCMV/SIV vaccine efficacy

Fredrik Barrenas, Scott Hansen, Lynn Law, Connor Driscoll, Richard Green, Elise Smith, Jean Chang, Inah Golez, Taryn Urion, Xinxia Peng, Leanne Whitmore, Daniel Newhouse, Colette Hughes, David Morrow, Kurt Randall, Andrea Selseth, Julia Ford, Roxanne Gilbride, Bryan Randall, Emily Ainslie, Kelli Oswald, Rebecca Shoemaker, Randy Fast, William Bosche, Michael Axthelm, Yoshinori Fukazawa, George Pavlakis, Barbara Felber, Slim Fourati, Sekaly Rafick-Pierre, Jeffrey Lifson, Jan Komorowski, Ewelina Kosmider, Danica Shao, Wenjun Song, Paul Edlefsen, Louis Picker, Michael Gale

JOURNAL OF MEDICAL PRIMATOLOGY (2022)

暂无数据