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89 Publications visible to you, out of a total of 89

Abstract (Expand)

Prerequisite for a successful proteomics experiment is a high-quality lysis of the sample of interest, resulting in a large number of identified proteins as well as a high coverage of protein sequences. Therefore, the choice of suitable lysis conditions is crucial. Many buffers were previously employed in proteomics studies, yet a comprehensive comparison of lysate preparation conditions was so far missing. In this study, we compared the efficiency of four commonly used lysis buffers, containing the agents NP40, SDS, urea or GdnHCl, in four different types of biological samples (suspension and adherent cell lines, primary mouse cells and mouse liver tissue). After liquid chromatography-mass spectrometry (LC-MS) measurement and MaxQuant analysis, we compared chromatograms, intensities, number of identified proteins and the localization of the identified proteins. Overall, SDS emerged as the most reliable reagent, ensuring stable performance and reproducibility across diverse samples. Furthermore, our data advocated for a dual-sample lysis approach, including that the resulting pellet is lysed again after the initial lysis with a urea lysis buffer and subsequently both lysates are combined for a single LC-MS run to maximize the proteome coverage. However, none of the investigated lysis buffers proved to be superior in every category, indicating that the lysis buffer of choice depends on the proteins of interest and on the biological question. Further, we demonstrated with our systematic studies the establishment of conditions that allows to perform global proteomics and affinity purification-based interactome characterization from the same lysate. In sum our results provide guidance for the best-suited lysis buffer for mass spectrometry-based proteomics depending on the question of interest.

Authors: Barbara Helm, Pauline Hansen, Li Lai, Luisa Schwarzmüller, Simone M. Clas, Annika Richter, Max Ruwolt, Fan Liu, Dario Frey, Lorenza A. D’Alessandro, Wolf-Dieter Lehmann, Marcel Schilling, Dominic Helm, Dorothea Fiedler, Ursula Klingmüller

Date Published: 21st Feb 2024

Publication Type: Journal

Abstract (Expand)

Abstract Type I interferons (IFNs) play a central role not only in innate immunity against viral infection, but also in the antitumour response, e.g. through a direct impact on cell proliferation.act on cell proliferation. Particularly for cancer arising in the context of chronic inflammation, constant exposure to IFNs may constitute a strong selective pressure during tumour evolution. Expansion of neoplastic subclones resistant to the antiproliferative effects of IFNs may contribute to immunoediting of tumours, leading to more aggressive disease. Experimental evidence for this development of IFN-insensitivity has been scarce and its molecular mechanism is unclear. In this study we demonstrate that six weeks exposure of cells to IFN-β in vitro reduces their sensitivity to its antiproliferative effects, and that this phenotype was stable for up to four weeks. Furthermore, we observed substantial differences in cellular sensitivity to growth inhibition by IFN-β in a panel of ten different liver cancer cell lines, most prominently in a pair of highly dedifferentiated cell lines, and least in cells from well-differentiated tumours. In both, long-term IFN selection and in dedifferentiated tumour cell lines, we found IFNAR2 expression to be substantially reduced, suggesting the receptor complex to be a sensitive target amenable to immunoediting. Beyond new insights into possible molecular processes in tumour evolution, these findings might prove valuable for the development of biomarkers allowing to stratify tumours for their sensitivity to IFN treatment in the context of patient tailored therapies.

Authors: Felix Hiebinger, Aiste Kudulyte, Huanting Chi, Sebastian Burbano De Lara, Doroteja Ilic, Barbara Helm, Hendrik Welsch, Viet Loan Dao Thi, Ursula Klingmüller, Marco Binder

Date Published: 1st Dec 2023

Publication Type: Journal

Abstract (Expand)

Hepatitis C virus (HCV) infection can lead to hepatic fibrosis. The advent of direct-acting antivirals (DAAs) has substantially improved sustained virological response (SVR) rates. In this context, this context, kidney transplant recipients (KTRs) are of particular interest due to their higher HCV infection rates and uncertain renal excretion and bioavailability of DAAs. We investigated liver stiffness after DAA treatment in 15 HCV-infected KTRs using ultrasound shear wave elastography (SWE) in comparison with magnetic resonance elastography (MRE). KTRs were treated with DAAs (daclatasvir and sofosbuvir) for three months and underwent SWE at baseline, end of therapy (EOT), and 3 (EOT+3) and 12 months (EOT+12) after EOT. Fourteen patients achieved SVR12. Shear wave speed (SWS)—as a surrogate parameter for tissue stiffness—was substantially lower at all three post-therapeutic timepoints compared with baseline (EOT: −0.42 m/s, p < 0.01; CI = −0.75–−0.09, EOT+3: −0.43 m/s, p < 0.01; CI = −0.75–−0.11, and EOT+12: −0.52 m/s, p < 0.001; CI = −0.84–−0.19), suggesting liver regeneration after viral eradication and end of inflammation. Baseline SWS correlated positively with histopathological fibrosis scores (r = 0.48; CI = −0.11–0.85). Longitudinal results correlated moderately with APRI (r = 0.41; CI = 0.12–0.64) but not with FIB-4 scores (r = 0.12; CI = −0.19–0.41). Although higher on average, SWE-derived measurements correlated strongly with MRE (r = 0.64). In conclusion, SWE is suitable for non-invasive therapy monitoring in KTRs with HCV infection.

Authors: Salma Almutawakel, Fabian Halleck, Michael Dürr, Ulrike Grittner, Eva Schrezenmeier, Klemens Budde, Christian E. Althoff, Bernd Hamm, Ingolf Sack, Thomas Fischer, Stephan R. Marticorena Garcia

Date Published: 1st Dec 2023

Publication Type: Journal

Abstract (Expand)

Loss of hepatocyte nuclear factor 4α (HNF4α) expression is frequently observed in end-stage liver disease and associated with loss of vital liver functions, thus increasjng mortality. Loss of HNF4α expression is mediated by inflammatory cytokines, such as transforming growth factor (TGF)-β. However, details of how HNF4α is suppressed are largely unknown to date. This study reports that TGF-β does not directly inhibit HNF4α but contributes to its transcriptional regulation by SMAD2/3 recruiting acetyltransferase CREB-binding protein/p300 to the HNF4α promoter. The recruitment of CREB-binding protein/p300 is indispensable for CCAAT/enhancer-binding protein α (C/EBPα) binding, another essential requirement for constitutive HNF4α expression in hepatocytes. Consistent with the in vitro observation, 67 of 98 patients with hepatic HNF4α express both phospho-SMAD2 and C/EBPα, whereas 22 patients without HNF4α expression lack either phospho-SMAD2 or C/EBPα. In contrast to the observed induction of HNF4α, SMAD2/3 inhibits C/EBPα transcription. Therefore, long-term TGF-β incubation results in C/EBPα depletion, which abrogates HNF4α expression. Intriguingly, SMAD2/3 inhibitory binding to the C/EBPα promoter is abolished by insulin. Two-thirds of patients without C/EBPα lack membrane glucose transporter type 2 expression in hepatocytes, indicating insulin resistance. Taken together, hepatic insulin sensitivity is essential for hepatic HNF4α expression in the condition of inflammation.

Authors: Rilu Feng, Chenhao Tong, Tao Lin, Hui Liu, Chen Shao, Yujia Li, Carsten Sticht, Kejia Kan, Xiaofeng Li, Rui Liu, Sai Wang, Shanshan Wang, Stefan Munker, Hanno Niess, Christoph Meyer, Roman Liebe, Matthias P. Ebert, Steven Dooley, Hua Wang, Huiguo Ding, Hong-Lei Weng

Date Published: 1st Oct 2023

Publication Type: Journal

Abstract (Expand)

Type I interferons (IFNs) play a central role not only in innate immunity against viral infection, but also in the antitumour response. Apart from indirect immune-modulatory and anti-angiogenic effects, they have direct impact on cell proliferation. Particularly for cancer arising in the context of chronic inflammation, constant exposure to IFNs may constitute a strong selective pressure during tumour evolution. Expansion of neoplastic subclones or -populations that developed resistance to the antiproliferative effects of IFNs might constitute an important contribution to immunoediting of the cancer cells leading to more aggressive and metastasising disease. Experimental evidence for this development of IFN-insensitivity has been scarce and its molecular mechanism is unclear. In this study we demonstrate that prolonged (six weeks) exposure of cells to IFN-β in vitro reduces their sensitivity to its antiproliferative effects, and that this phenotype was stable for up to four weeks. Furthermore, we observed substantial differences in cellular sensitivity to growth inhibition by IFN-β in a panel of ten different liver cancer cell lines of varying malignity. IFN-resistance was most prominent in a pair of highly dedifferentiated cell lines, and least in cells from well-differentiated tumours, fostering the hypothesis of IFN-driven immunoediting in advanced cancers. In both settings, long-term IFN selection in vitro as well as in dedifferentiated tumour cell lines, we found IFNAR expression to be substantially reduced, suggesting the receptor complex, in particular IFNAR2, to be a sensitive target amenable to immunoediting. Beyond new insights into possible molecular processes in tumour evolution, these findings might prove valuable for the development of biomarkers allowing to stratify tumours for their sensitivity to IFN treatment in the context of patient tailored therapies.

Authors: Felix Hiebinger, Aiste Kudulyte, Huanting Chi, Sebastian Burbano De Lara, Barbara Helm, Hendrik Welsch, Viet Loan Dao Thi, Ursula Klingmüller, Marco Binder

Date Published: 24th Aug 2023

Publication Type: Journal

Abstract

Not specified

Authors: Miquel Serra-Burriel, Adrià Juanola, Feliu Serra-Burriel, Maja Thiele, Isabel Graupera, Elisa Pose, Guillem Pera, Ivica Grgurevic, Llorenç Caballeria, Salvatore Piano, Laurens van Kleef, Mathias Reichert, Dominique Roulot, Juan M Pericàs, Jörn M Schattenberg, Emmanuel A Tsochatztis, Indra Neil Guha, Montserrat Garcia-Retortillo, Rosario Hernández, Jordi Hoyo, Matilde Fuentes, Carmen Expósito, Alba Martínez, Patricia Such, Anita Madir, Sönke Detlefsen, Marta Tonon, Andrea Martini, Ann T Ma, Judith Pich, Eva Bonfill, Marta Juan, Anna Soria, Marta Carol, Jordi Gratacós-Ginès, Rosa M Morillas, Pere Toran, J M Navarrete, Antoni Torrejón, Céline Fournier, Anne Llorca, Anita Arslanow, Harry J de Koning, Fernando Cucchietti, Michael Manns, Phillip N Newsome, Rubén Hernáez, Alina Allen, Paolo Angeli, Robert J de Knegt, Tom H Karlsen, Peter Galle, Vincent Wai-Sun Wong, Núria Fabrellas, Laurent Castera, Aleksander Krag, Frank Lammert, Patrick S Kamath, Pere Ginès, Marifé Alvarez, Peter Andersen, Paolo Angeli, Alba Ardèvol, Anita Arslanow, Luca Beggiato, Zahia Ben Abdesselam, Lucy Bennett, Bajiha Boutouria, Alessandra Brocca, M. Teresa Broquetas, Llorenç Caballeria, Valeria Calvino, Judith Camacho, Aura Capdevila, Marta Carol, Laurent Castera, Marta Cervera, Fernando Cucchietti, Anna de Fuentes, Rob de Knegt, Harry J de Koning, Sonke Detlefsen, Alba Diaz, José Diéguez Bande, Vanessa Esnault, Núria Fabrellas, Josep Lluis Falcó, Rosa Fernández, Céline Fournier, Matilde Fuentes, Peter Galle, Edgar García, Montserrat García-Retortillo, Esther Garrido, Pere Ginès, Rosa Gordillo Medina, Jordi Gratacós-Ginès, Isabel Graupera, Ivica Grgurevic, Indra Neil Guha, Eva Guix, Johanne Kragh Hansen, Rebecca Harris, Elena Hernández Boluda, Rosario Hernández-Ibañez, Jordi Hoyo, Arfan Ikram, Simone Incicco, Mads Israelsen, Marta Juan, Adrià Juanola, Ralf Kaiser, Patrick S Kamath, Tom H Karlsen, Maria Kjærgaard, Marko Korenjak, Aleksander Krag, Marcin Krawczyk, Philippe Laboulaye, Irina Lambert, Frank Lammert, Simon Langkjær Sørensen, Cristina Laserna-Jiménez, Sonia Lazaro Pi, Elsa Ledain, Vincent Levy, Katrine Prier Lindvig, Anne Llorca, Vanessa Londoño, Guirec Loyer, Ann T. Ma, Anita Madir, Michael Manns, Denise Marshall, M. Lluïsa Martí, Sara Martínez, Ricard Martínez Sala, Roser Masa-Font, Jane Møller Jensen, Rosa M Morillas, Laura Muñoz, Ruth Nadal, Laura Napoleone, JM Navarrete, Phillip N Newsome, Vibeke Nielsen, Martina Pérez, Juan Manuel Pericás-Pulido, Salvatore Piano, Judit Pich, Elisa Pose, Judit Presas Escobet, Matthias Reichert, Carlota Riba, Dominique Roulot, Ana Belén Rubio, Maria Sánchez-Morata, Jörn Schattenberg, Miquel Serra-Burriel, Feliu Serra-Burriel, Louise Skovborg Just, Milan Sonneveld, Anna Soria, Christiane Stern, Patricia Such, Maja Thiele, Marta Tonon, Pere Toran, Antoni Torrejón, Emmanuel A Tsochatzis, Laurens van Kleef, Paulien van Wijngaarden, Vanessa Velázquez, Ana Viu, Susanne Nicole Weber, Tracey Wildsmith

Date Published: 1st Aug 2023

Publication Type: Journal

Abstract (Expand)

Abstract The human liver has a remarkable capacity to regenerate and thus compensate over decades for fibrosis caused by toxic chemicals, drugs, alcohol, or malnutrition. To date, no protective mechanismsrition. To date, no protective mechanisms have been identified that help the liver tolerate these repeated injuries. In this study, we revealed dysregulation of lipid metabolism and mild inflammation as protective mechanisms by studying longitudinal multi-omic measurements of liver fibrosis induced by repeated CCl 4 injections in mice ( n  = 45). Based on comprehensive proteomics, transcriptomics, blood- and tissue-level profiling, we uncovered three phases of early disease development—initiation, progression, and tolerance. Using novel multi-omic network analysis, we identified multi-level mechanisms that are significantly dysregulated in the injury-tolerant response. Public data analysis shows that these profiles are altered in human liver diseases, including fibrosis and early cirrhosis stages. Our findings mark the beginning of the tolerance phase as the critical switching point in liver response to repetitive toxic doses. After fostering extracellular matrix accumulation as an acute response, we observe a deposition of tiny lipid droplets in hepatocytes only in the Tolerant phase. Our comprehensive study shows that lipid metabolism and mild inflammation may serve as biomarkers and are putative functional requirements to resist further disease progression.

Authors: Seddik Hammad, Christoph Ogris, Amnah Othman, Pia Erdoesi, Wolfgang Schmidt-Heck, Ina Biermayer, Barbara Helm, Yan Gao, Weronika Piorońska, Christian H. Holland, Lorenza A. D’Alessandro, Carolina de la Torre, Carsten Sticht, Sherin Al Aoua, Fabian J. Theis, Heike Bantel, Matthias P. Ebert, Ursula Klingmüller, Jan G. Hengstler, Steven Dooley, Nikola S. Mueller

Date Published: 1st Jul 2023

Publication Type: Journal

Abstract

Not specified

Authors: Mihael Vucur, Ahmed Ghallab, Anne T. Schneider, Arlind Adili, Mingbo Cheng, Mirco Castoldi, Michael T. Singer, Veronika Büttner, Leonie S. Keysberg, Lena Küsgens, Marlene Kohlhepp, Boris Görg, Suchira Gallage, Jose Efren Barragan Avila, Kristian Unger, Claus Kordes, Anne-Laure Leblond, Wiebke Albrecht, Sven H. Loosen, Carolin Lohr, Markus S. Jördens, Anne Babler, Sikander Hayat, David Schumacher, Maria T. Koenen, Olivier Govaere, Mark V. Boekschoten, Simone Jörs, Carlos Villacorta-Martin, Vincenzo Mazzaferro, Josep M. Llovet, Ralf Weiskirchen, Jakob N. Kather, Patrick Starlinger, Michael Trauner, Mark Luedde, Lara R. Heij, Ulf P. Neumann, Verena Keitel, Johannes G. Bode, Rebekka K. Schneider, Frank Tacke, Bodo Levkau, Twan Lammers, Georg Fluegen, Theodore Alexandrov, Amy L. Collins, Glyn Nelson, Fiona Oakley, Derek A. Mann, Christoph Roderburg, Thomas Longerich, Achim Weber, Augusto Villanueva, Andre L. Samson, James M. Murphy, Rafael Kramann, Fabian Geisler, Ivan G. Costa, Jan G. Hengstler, Mathias Heikenwalder, Tom Luedde

Date Published: 1st Jul 2023

Publication Type: Journal

Abstract (Expand)

The interplay between chromatin, transcription factors and genes generates complex regulatory circuits that can be represented as gene regulatory networks (GRNs). The study of GRNs is useful to understand how cellular identity is established, maintained and disrupted in disease. GRNs can be inferred from experimental data - historically, bulk omics data - and/or from the literature. The advent of single-cell multi-omics technologies has led to the development of novel computational methods that leverage genomic, transcriptomic and chromatin accessibility information to infer GRNs at an unprecedented resolution. Here, we review the key principles of inferring GRNs that encompass transcription factor-gene interactions from transcriptomics and chromatin accessibility data. We focus on the comparison and classification of methods that use single-cell multimodal data. We highlight challenges in GRN inference, in particular with respect to benchmarking, and potential further developments using additional data modalities.

Authors: P. Badia-I-Mompel, L. Wessels, S. Muller-Dott, R. Trimbour, R. O. Ramirez Flores, R. Argelaguet, J. Saez-Rodriguez

Date Published: 26th Jun 2023

Publication Type: Journal

Abstract

Not specified

Authors: Stefan Hoehme, Seddik Hammad, Jan Boettger, Brigitte Begher-Tibbe, Petru Bucur, Eric Vibert, Rolf Gebhardt, Jan G. Hengstler, Dirk Drasdo

Date Published: 2023

Publication Type: Journal

Abstract

Not specified

Authors: Le Tao, Guangyue Yang, Tiantian Sun, Jie Tao, Chan Zhu, Huimin Yu, Yalan Cheng, Zongguo Yang, Mingyi Xu, Yuefeng Jiang, Wei Zhang, Zhiyi Wang, Wenting Ma, Liu Wu, Dongying Xue, Dongxue Wang, Wentao Yang, Yongjuan Zhao, Shane Horsefield, Bostjan Kobe, Zhe Zhang, Zongxiang Tang, Qigen Li, Qiwei Zhai, Steven Dooley, Ekihiro Seki, Ping Liu, Jianrong Xu, Hongzhuan Chen, Cheng Liu

Date Published: 2023

Publication Type: Journal

Abstract

Not specified

Authors: Rilu Feng, Kejia Kan, Carsten Sticht, Yujia Li, Shanshan Wang, Hui Liu, Chen Shao, Stefan Munker, Hanno Niess, Sai Wang, Christoph Meyer, Roman Liebe, Matthias P. Ebert, Steven Dooley, Huiguo Ding, Honglei Weng

Date Published: 1st Dec 2022

Publication Type: Journal

Abstract (Expand)

MOTIVATION: Over the last decades, image processing and analysis have become one of the key technologies in systems biology and medicine. The quantification of anatomical structures and dynamic processes in living systems is essential for understanding the complex underlying mechanisms and allows, i.e. the construction of spatio-temporal models that illuminate the interplay between architecture and function. Recently, deep learning significantly improved the performance of traditional image analysis in cases where imaging techniques provide large amounts of data. However, if only a few images are available or qualified annotations are expensive to produce, the applicability of deep learning is still limited. RESULTS: We present a novel approach that combines machine learning-based interactive image segmentation using supervoxels with a clustering method for the automated identification of similarly colored images in large image sets which enables a guided reuse of interactively trained classifiers. Our approach solves the problem of deteriorated segmentation and quantification accuracy when reusing trained classifiers which is due to significant color variability prevalent and often unavoidable in biological and medical images. This increase in efficiency improves the suitability of interactive segmentation for larger image sets, enabling efficient quantification or the rapid generation of training data for deep learning with minimal effort. The presented methods are applicable for almost any image type and represent a useful tool for image analysis tasks in general. AVAILABILITY AND IMPLEMENTATION: The presented methods are implemented in our image processing software TiQuant which is freely available at tiquant.hoehme.com. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Authors: A. Friebel, T. Johann, D. Drasdo, S. Hoehme

Date Published: 30th Sep 2022

Publication Type: Journal

Abstract (Expand)

Erythropoietin (Epo) ensures survival and proliferation of colony-forming unit erythroid (CFU-E) progenitor cells and their differentiation to hemoglobin-containing mature erythrocytes. A lack of Epo-induced responses causes embryonic lethality, but mechanisms regulating the dynamic communication of cellular alterations to the organismal level remain unresolved. By time-resolved transcriptomics and proteomics, we show that Epo induces in CFU-E cells a gradual transition from proliferation signature proteins to proteins indicative for differentiation, including heme-synthesis enzymes. In the absence of the Epo receptor (EpoR) in embryos, we observe a lack of hemoglobin in CFU-E cells and massive iron overload of the fetal liver pointing to a miscommunication between liver and placenta. A reduction of iron-sulfur cluster-containing proteins involved in oxidative phosphorylation in these embryos leads to a metabolic shift toward glycolysis. This link connecting erythropoiesis with the regulation of iron homeostasis and metabolic reprogramming suggests that balancing these interactions is crucial for protection from iron intoxication and for survival.

Authors: S. Chakraborty, G. Andrieux, P. Kastl, L. Adlung, S. Altamura, M. E. Boehm, L. E. Schwarzmuller, Y. Abdullah, M. C. Wagner, B. Helm, H. J. Grone, W. D. Lehmann, M. Boerries, H. Busch, M. U. Muckenthaler, M. Schilling, U. Klingmuller

Date Published: 20th Sep 2022

Publication Type: Journal

Abstract (Expand)

Objectives. We assessed the potential of glial cell line-derived neurotrophic factor (GDNF) as a useful biomarker to predict cirrhosis in chronic hepatitis B (CHB) patients. Methods. A total of 735nts. Methods. A total of 735 patients from two medical centers (385 CHB patients and 350 healthy controls) were included to determine the association of serum and tissue GDNF levels with biopsy-proven cirrhosis. The diagnostic accuracy of serum GDNF (sGDNF) was estimated and compared with other indices of cirrhosis. Results. We showed significantly higher levels of sGDNF in CHB patients with fibrosis (28.4 pg/ml vs. 11.6 pg/ml in patients without) and patients with cirrhosis (33.8 pg/ml vs. 23.5 pg/ml in patients without). The areas under receiver operating curve (AUROCs) of sGDNF were 0.83 (95% confidence interval (CI): 0.80–0.87) for predicting liver fibrosis and 0.84 (95% CI: 0.79–0.89) for cirrhosis. Findings from the serum protein level and hepatic mRNA expression were consistent. Using the best cutoff to predict cirrhosis, we categorized the patients into sGDNF-high and sGDNF-low groups. The sGDNF-high group had significantly larger Masson’s trichrome and reticulin staining-positive area, higher Scheuer score, and METAVIR fibrosis stage (all p < 0.001 ) but not steatosis. On multivariable regression, sGDNF was independently associated with cirrhosis with an odds ratio of 6.98 (95% CI: 1.10–17.94). Finally, we demonstrated that sGDNF outperformed AST to platelet ratio index, FIB-4, fibroscore, forn index, and fibrometer in differentiating F4 vs. F3. Conclusion. Using serum, tissue mRNA, and biopsy data, our study revealed a significant potential of sGDNF as a novel noninvasive biomarker for cirrhosis in CHB patients.

Authors: Guangyue Yang, Liping Zhuang, Tiantian Sun, Yee Hui Yeo, Le Tao, Wei Zhang, Wenting Ma, Liu Wu, Zongguo Yang, Yanqin Yang, Dongying Xue, Jie Zhang, Rilu Feng, Ebert Matthias P., Steven Dooley, Ekihiro Seki, Ping Liu, Cheng Liu

Date Published: 9th Jul 2022

Publication Type: Journal

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