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988 results on '"Oefner, Peter J."'

1. Coupling metabolomics and exome sequencing reveals graded effects of rare damaging heterozygous variants on gene function and human traits

Author

Scherer, Nora, Fässler, Daniel, Borisov, Oleg, Cheng, Yurong, Schlosser, Pascal, Wuttke, Matthias, Haug, Stefan, Li, Yong, Telkämper, Fabian, Patil, Suraj, Meiselbach, Heike, Wong, Casper, Berger, Urs, Sekula, Peggy, Hoppmann, Anselm, Schultheiss, Ulla T., Mozaffari, Sahar, Xi, Yannan, Graham, Robert, Schmidts, Miriam, Köttgen, Michael, Oefner, Peter J., Knauf, Felix, Eckardt, Kai-Uwe, Grünert, Sarah C., Estrada, Karol, Thiele, Ines, Hertel, Johannes, and Köttgen, Anna

Published
2025
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3. SpaCeNet: Spatial Cellular Networks from Omics Data

Author

Schrod, Stefan, Lück, Niklas, Lohmayer, Robert, Solbrig, Stefan, Wipfler, Tina, Shutta, Katherine H., Guebila, Marouen Ben, Schäfer, Andreas, Beißbarth, Tim, Zacharias, Helena U., Oefner, Peter J., Quackenbush, John, Altenbuchinger, Michael, Goos, Gerhard, Series Editor, Hartmanis, Juris, Founding Editor, van Leeuwen, Jan, Series Editor, Hutchison, David, Editorial Board Member, Kanade, Takeo, Editorial Board Member, Kittler, Josef, Editorial Board Member, Kleinberg, Jon M., Editorial Board Member, Kobsa, Alfred, Series Editor, Mattern, Friedemann, Editorial Board Member, Mitchell, John C., Editorial Board Member, Naor, Moni, Editorial Board Member, Nierstrasz, Oscar, Series Editor, Pandu Rangan, C., Editorial Board Member, Sudan, Madhu, Series Editor, Terzopoulos, Demetri, Editorial Board Member, Tygar, Doug, Editorial Board Member, Weikum, Gerhard, Series Editor, Vardi, Moshe Y, Series Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, and Ma, Jian, editor

Published
2024
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4. BITES: Balanced Individual Treatment Effect for Survival data

Author

Schrod, Stefan, Schäfer, Andreas, Solbrig, Stefan, Lohmayer, Robert, Gronwald, Wolfram, Oefner, Peter J., Beißbarth, Tim, Spang, Rainer, Zacharias, Helena U., and Altenbuchinger, Michael

Subjects
Statistics - Methodology, Computer Science - Machine Learning
Abstract

Estimating the effects of interventions on patient outcome is one of the key aspects of personalized medicine. Their inference is often challenged by the fact that the training data comprises only the outcome for the administered treatment, and not for alternative treatments (the so-called counterfactual outcomes). Several methods were suggested for this scenario based on observational data, i.e.~data where the intervention was not applied randomly, for both continuous and binary outcome variables. However, patient outcome is often recorded in terms of time-to-event data, comprising right-censored event times if an event does not occur within the observation period. Albeit their enormous importance, time-to-event data is rarely used for treatment optimization. We suggest an approach named BITES (Balanced Individual Treatment Effect for Survival data), which combines a treatment-specific semi-parametric Cox loss with a treatment-balanced deep neural network; i.e.~we regularize differences between treated and non-treated patients using Integral Probability Metrics (IPM). We show in simulation studies that this approach outperforms the state of the art. Further, we demonstrate in an application to a cohort of breast cancer patients that hormone treatment can be optimized based on six routine parameters. We successfully validated this finding in an independent cohort. BITES is provided as an easy-to-use python implementation.

Published
2022

6. Genetic studies of paired metabolomes reveal enzymatic and transport processes at the interface of plasma and urine

Author

Schlosser, Pascal, Scherer, Nora, Grundner-Culemann, Franziska, Monteiro-Martins, Sara, Haug, Stefan, Steinbrenner, Inga, Uluvar, Burulça, Wuttke, Matthias, Cheng, Yurong, Ekici, Arif B., Gyimesi, Gergely, Karoly, Edward D., Kotsis, Fruzsina, Mielke, Johanna, Gomez, Maria F., Yu, Bing, Grams, Morgan E., Coresh, Josef, Boerwinkle, Eric, Köttgen, Michael, Kronenberg, Florian, Meiselbach, Heike, Mohney, Robert P., Akilesh, Shreeram, Schmidts, Miriam, Hediger, Matthias A., Schultheiss, Ulla T., Eckardt, Kai-Uwe, Oefner, Peter J., Sekula, Peggy, Li, Yong, and Köttgen, Anna

Published
2023
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7. Fully integrative data analysis of NMR metabolic fingerprints with comprehensive patient data: a case report based on the German Chronic Kidney Disease (GCKD) study

Author

Zacharias, Helena U., Altenbuchinger, Michael, Solbrig, Stefan, Schäfer, Andreas, Buyukozkan, Mustafa, Schultheiß, Ulla T., Kotsis, Fruzsina, Köttgen, Anna, Krumsiek, Jan, Theis, Fabian J., Spang, Rainer, Oefner, Peter J., Gronwald, Wolfram, and investigators, GCKD study

Subjects
Statistics - Applications, Quantitative Biology - Quantitative Methods
Abstract

Omics data facilitate the gain of novel insights into the pathophysiology of diseases and, consequently, their diagnosis, treatment, and prevention. To that end, it is necessary to integrate omics data with other data types such as clinical, phenotypic, and demographic parameters of categorical or continuous nature. Here, we exemplify this data integration issue for a study on chronic kidney disease (CKD), where complex clinical and demographic parameters were assessed together with one-dimensional (1D) 1H NMR metabolic fingerprints. Routine analysis screens for associations of single metabolic features with clinical parameters, which requires confounding variables typically chosen by expert knowledge to be taken into account. This knowledge can be incomplete or unavailable. The results of this article are manifold. We introduce a framework for data integration that intrinsically adjusts for confounding variables. We give its mathematical and algorithmic foundation, provide a state-of-the-art implementation, and give several sanity checks. In particular, we show that the discovered associations remain significant after variable adjustment based on expert knowledge. In contrast, we illustrate that the discovery of associations in routine analysis can be biased by incorrect or incomplete expert knowledge in univariate screening approaches. Finally, we exemplify how our data integration approach reveals important associations between CKD comorbidities and metabolites. Moreover, we evaluate the predictive performance of the estimated models on independent validation data and contrast the results with a naive screening approach.

Published
2018

8. Loss-function learning for digital tissue deconvolution

Author

Görtler, Franziska, Solbrig, Stefan, Wettig, Tilo, Oefner, Peter J., Spang, Rainer, and Altenbuchinger, Michael

Subjects
Quantitative Biology - Quantitative Methods
Abstract

The gene expression profile of a tissue averages the expression profiles of all cells in this tissue. Digital tissue deconvolution (DTD) addresses the following inverse problem: Given the expression profile $y$ of a tissue, what is the cellular composition $c$ of that tissue? If $X$ is a matrix whose columns are reference profiles of individual cell types, the composition $c$ can be computed by minimizing $\mathcal L(y-Xc)$ for a given loss function $\mathcal L$. Current methods use predefined all-purpose loss functions. They successfully quantify the dominating cells of a tissue, while often falling short in detecting small cell populations. Here we learn the loss function $\mathcal L$ along with the composition $c$. This allows us to adapt to application-specific requirements such as focusing on small cell populations or distinguishing phenotypically similar cell populations. Our method quantifies large cell fractions as accurately as existing methods and significantly improves the detection of small cell populations and the distinction of similar cell types., Comment: 13 pages, 7 figures

Published
2018
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9. Scale-invariant biomarker discovery in urine and plasma metabolite fingerprints

Author

Zacharias, Helena U., Rehberg, Thorsten, Mehrl, Sebastian, Richtmann, Daniel, Wettig, Tilo, Oefner, Peter J., Spang, Rainer, Gronwald, Wolfram, and Altenbuchinger, Michael

Subjects
Quantitative Biology - Quantitative Methods
Abstract

Motivation: Metabolomics data is typically scaled to a common reference like a constant volume of body fluid, a constant creatinine level, or a constant area under the spectrum. Such normalization of the data, however, may affect the selection of biomarkers and the biological interpretation of results in unforeseen ways. Results: First, we study how the outcome of hypothesis tests for differential metabolite concentration is affected by the choice of scale. Furthermore, we observe this interdependence also for different classification approaches. Second, to overcome this problem and establish a scale-invariant biomarker discovery algorithm, we extend linear zero-sum regression to the logistic regression framework and show in two applications to ${}^1$H NMR-based metabolomics data how this approach overcomes the scaling problem. Availability: Logistic zero-sum regression is available as an R package as well as a high-performance computing implementation that can be downloaded at https://github.com/rehbergT/zeroSum

Published
2017
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10. A Predictive Model for Progression of CKD to Kidney Failure Based on Routine Laboratory Tests

Author

Zacharias, Helena U., Altenbuchinger, Michael, Schultheiss, Ulla T., Raffler, Johannes, Kotsis, Fruzsina, Ghasemi, Sahar, Ali, Ibrahim, Kollerits, Barbara, Metzger, Marie, Steinbrenner, Inga, Sekula, Peggy, Massy, Ziad A., Combe, Christian, Kalra, Philip A., Kronenberg, Florian, Stengel, Bénédicte, Eckardt, Kai-Uwe, Köttgen, Anna, Schmid, Matthias, Gronwald, Wolfram, and Oefner, Peter J.

Published
2022
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11. Tachycardiomyopathy entails a dysfunctional pattern of interrelated mitochondrial functions

Author

Paulus, Michael G., Renner, Kathrin, Nickel, Alexander G., Brochhausen, Christoph, Limm, Katharina, Zügner, Elmar, Baier, Maria J., Pabel, Steffen, Wallner, Stefan, Birner, Christoph, Luchner, Andreas, Magnes, Christoph, Oefner, Peter J., Stark, Klaus J., Wagner, Stefan, Maack, Christoph, Maier, Lars S., Streckfuss-Bömeke, Katrin, Sossalla, Samuel, and Dietl, Alexander

Published
2022
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12. Kynurenine induces T cell fat catabolism and has limited suppressive effects in vivo

Author

Siska, Peter J., Jiao, Jing, Matos, Carina, Singer, Katrin, Berger, Raffaela S., Dettmer, Katja, Oefner, Peter J., Cully, Michelle D., Wang, Zhonglin, QuinnIII, William J., Oliff, Kristen N., Wilkins, Benjamin J., Christensen, Lanette M., Wang, Liqing, Hancock, Wayne W., Baur, Joseph A., Levine, Matthew H., Ugele, Ines, Mayr, Roman, Renner, Kathrin, Zhou, Liang, Kreutz, Marina, and Beier, Ulf H.

Published
2021
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13. Urine Metabolite Levels, Adverse Kidney Outcomes, and Mortality in CKD Patients: A Metabolome-wide Association Study

Author

Eckardt, Kai-Uwe, Meiselbach, Heike, Schneider, Markus P., Schiffer, Mario, Prokosch, Hans-Ulrich, Bärthlein, Barbara, Beck, Andreas, Reis, André, Ekici, Arif B., Becker, Susanne, Becker-Grosspitsch, Dinah, Alberth-Schmidt, Ulrike, Hausknecht, Birgit, Weigel, Anke, Walz, Gerd, Köttgen, Anna, Schultheiß, Ulla T., Kotsis, Fruzsina, Meder, Simone, Mitsch, Erna, Reinhard, Ursula, Floege, Jürgen, Saritas, Turgay, Schaeffner, Elke, Baid-Agrawal, Seema, Theisen, Kerstin, Haller, Hermann, Menne, Jan, Zeier, Martin, Sommerer, Claudia, Theilinger, Johanna, Wolf, Gunter, Busch, Martin, Paul, Rainer, Sitter, Thomas, Wanner, Christoph, Krane, Vera, Börner-Klein, Antje, Bauer, Britta, Kronenberg, Florian, Raschenberger, Julia, Kollerits, Barbara, Forer, Lukas, Schönherr, Sebastian, Weissensteiner, Hansi, Oefner, Peter, Gronwald, Wolfram, Schmid, Matthias, Nadal, Jennifer, Steinbrenner, Inga, Schultheiss, Ulla T., Schlosser, Pascal, Stockmann, Helena, Mohney, Robert P., Oefner, Peter J., and Sekula, Peggy

Published
2021
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16. Metformin modulates microbiota and improves blood pressure and cardiac remodeling in a rat model of hypertension.

Author

Wimmer, Moritz I., Bartolomaeus, Hendrik, Anandakumar, Harithaa, Chen, Chia‐Yu, Vecera, Valentin, Kedziora, Sarah, Kamboj, Sakshi, Schumacher, Fabian, Pals, Sidney, Rauch, Ariana, Meisel, Jutta, Potapenko, Olena, Yarritu, Alex, Bartolomaeus, Theda U. P., Samaan, Mariam, Thiele, Arne, Stürzbecher, Lucas, Geisberger, Sabrina Y., Kleuser, Burkhard, and Oefner, Peter J.

Subjects
DIASTOLIC blood pressure, SYSTOLIC blood pressure, LABORATORY rats, SHOTGUN sequencing, GUT microbiome
Abstract

Aims: Metformin has been attributed to cardiovascular protection even in the absence of diabetes. Recent observations suggest that metformin influences the gut microbiome. We aimed to investigate the influence of metformin on the gut microbiota and hypertensive target organ damage in hypertensive rats. Methods: Male double transgenic rats overexpressing the human renin and angiotensinogen genes (dTGR), a model of angiotensin II‐dependent hypertension, were treated with metformin (300 mg/kg/day) or vehicle from 4 to 7 weeks of age. We assessed gut microbiome composition and function using shotgun metagenomic sequencing and measured blood pressure via radiotelemetry. Cardiac and renal organ damage and inflammation were evaluated by echocardiography, histology, and flow cytometry. Results: Metformin treatment increased the production of short‐chain fatty acids (SCFA) acetate and propionate in feces without altering microbial composition and diversity. It significantly reduced systolic and diastolic blood pressure and improved cardiac function, as measured by end‐diastolic volume, E/A, and stroke volume despite increased cardiac hypertrophy. Metformin reduced cardiac inflammation by lowering macrophage infiltration and shifting macrophage subpopulations towards a less inflammatory phenotype. The observed improvements in blood pressure, cardiac function, and inflammation correlated with fecal SCFA levels in dTGR. In vitro, acetate and propionate altered M1‐like gene expression in macrophages, reinforcing anti‐inflammatory effects. Metformin did not affect hypertensive renal damage or microvascular structure. Conclusion: Metformin modulated the gut microbiome, increased SCFA production, and ameliorated blood pressure and cardiac remodeling in dTGR. Our findings confirm the protective effects of metformin in the absence of diabetes, highlighting SCFA as a potential mediators. [ABSTRACT FROM AUTHOR]

Published
2024
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18. Arginase impedes the resolution of colitis by altering the microbiome and metabolome

Author

Baier, Julia, Gansbauer, Maximilian, Giessler, Claudia, Arnold, Harald, Muske, Mercedes, Schleicher, Ulrike, Lukassen, Soren, Ekici, Arif, Rauh, Manfred, Daniel, Christoph, Hartmann, Arndt, Schmid, Benjamin, Tripal, Philipp, Dettmer, Katja, Oefner, Peter J., Atreya, Raja, Wirtz, Stefan, Bogdan, Christian, and Mattner, Jochen

Subjects
Care and treatment, Chemical properties, Models, Health aspects, Hydrolases -- Health aspects, Metabolites -- Health aspects, Microbiota (Symbiotic organisms) -- Health aspects, Arginine -- Chemical properties -- Health aspects, Colitis -- Care and treatment -- Models
Abstract

Introduction Ulcerative colitis (UC) and Crohn's disease (CD) are characterized by an immune-mediated inflammation of the gastrointestinal (GI) tract. Both inflammatory bowel diseases (IBDs) are thought to result from dysregulated [...], Arginase 1 (Arg1), which converts L-arginine into ornithine and urea, exerts pleiotropic immunoregulatory effects. However, the function of Arg1 in inflammatory bowel disease (IBD) remains poorly characterized. Here, we found that Arg1 expression correlated with the degree of inflammation in intestinal tissues from IBD patients. In mice, Arg1 was upregulated in an IL-4/ IL-13 and intestinal microbiota-dependent manner. Tie2-Cre [Arg1.sup.fl/fl] mice lacking Arg7 in hematopoietic and endothelial cells recovered faster from colitis than Arg7-expressing([Arg1.sup.fl/fl]) littermates. This correlated with decreased vessel density, compositional changes in intestinal microbiota, diminished infiltration by myeloid cells, and an accumulation of intraluminal polyamines that promote epithelial healing. The proresolving effect of Arg1 deletion was reduced by an L-arginine- free diet, but rescued by simultaneous deletion of other L-arginine-metabolizing enzymes, such as Arg2 or Alos2, demonstrating that protection from colitis requires L-arginine. Fecal microbiota transfers from Tie2-Cre [Arg1.sup.fl/fl] mice into WT recipients ameliorated intestinal inflammation, while transfers from WT littermates intoArg7-deficient mice prevented an advanced recovery from colitis. Thus, an increased availability of L-arginine as well as altered intestinal microbiota and metabolic products accounts for the accelerated resolution from colitis in the absence of Arg1. Consequently, L-arginine metabolism may serve as a target for clinical intervention in IBD patients.

Published
2020
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20. Mitochondrial arginase-2 is essential for IL-10 metabolic reprogramming of inflammatory macrophages

Author

Dowling, Jennifer K., Afzal, Remsha, Gearing, Linden J., Cervantes-Silva, Mariana P., Annett, Stephanie, Davis, Gavin M., De Santi, Chiara, Assmann, Nadine, Dettmer, Katja, Gough, Daniel J., Bantug, Glenn R., Hamid, Fidinny I., Nally, Frances K., Duffy, Conor P., Gorman, Aoife L., Liddicoat, Alex M., Lavelle, Ed C., Hess, Christoph, Oefner, Peter J., Finlay, David K., Davey, Gavin P., Robson, Tracy, Curtis, Annie M., Hertzog, Paul J., Williams, Bryan R. G., and McCoy, Claire E.

Published
2021
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22. Restricting Glycolysis Preserves T Cell Effector Functions and Augments Checkpoint Therapy

Author

Renner, Kathrin, Bruss, Christina, Schnell, Annette, Koehl, Gudrun, Becker, Holger M., Fante, Matthias, Menevse, Ayse-Nur, Kauer, Nathalie, Blazquez, Raquel, Hacker, Lisa, Decking, Sonja-Maria, Bohn, Toszka, Faerber, Stephanie, Evert, Katja, Aigle, Lisa, Amslinger, Sabine, Landa, Maria, Krijgsman, Oscar, Rozeman, Elisa A., Brummer, Christina, Siska, Peter J., Singer, Katrin, Pektor, Stefanie, Miederer, Matthias, Peter, Katrin, Gottfried, Eva, Herr, Wolfgang, Marchiq, Ibtisam, Pouyssegur, Jacques, Roush, William R., Ong, SuFey, Warren, Sarah, Pukrop, Tobias, Beckhove, Philipp, Lang, Sven A., Bopp, Tobias, Blank, Christian U., Cleveland, John L., Oefner, Peter J., Dettmer, Katja, Selby, Mark, and Kreutz, Marina

Published
2019
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24. D-2-hydroxyglutarate supports a tolerogenic phenotype with lowered major histocompatibility class II expression in non-malignant dendritic cells and acute myeloid leukemia cells

Author

Hammon, Kathrin, primary, Renner, Kathrin, additional, Althammer, Michael, additional, Voll, Florian, additional, Babl, Nathalie, additional, Decking, Sonja-Maria, additional, Siska, Peter J., additional, Matos, Carina, additional, Conejo, Zugey Elizabeth Cárdenas, additional, Mendes, Karina, additional, Einwag, Friederike, additional, Siegmund, Heiko, additional, Iberl, Sabine, additional, Berger, Raffaela S., additional, Dettmer, Katja, additional, Schoenmehl, Rebecca, additional, Brochhausen, Christoph, additional, Herr, Wolfgang, additional, Oefner, Peter J., additional, Rehli, Michael, additional, Thomas, Simone, additional, and Kreutz, Marina, additional

Published
2024
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25. Divergent effects of itaconate isomers on Coxiella burnetii growth in macrophages and in axenic culture.

Author

Alam Siddique, Md Nur A., Kellermeier, Fabian, Ölke, Martha, Mingming Zhao, Büssow, Konrad, Oefner, Peter J., Lührmann, Anja, Dettmer, Katja, and Lang, Roland

Subjects
Q fever, AXENIC cultures, COXIELLA burnetii, INTRACELLULAR pathogens, MACROPHAGES
Abstract

Aconitate decarboxylase-1 (ACOD1) is expressed by activated macrophages and generates itaconate that exerts anti-microbial and immunoregulatory effects. ACOD1-itaconate is essential for macrophage-mediated control of the intracellular pathogen Coxiella (C.) burnetii, which causes Q fever. Two isomers of itaconate, mesaconate and citraconate, have overlapping yet distinct activity on macrophage metabolism and inflammatory gene expression. Here, we found that all three isomers inhibited the growth of C. burnetii in axenic culture in ACCM-2 medium. However, only itaconate reduced C. burnetii replication efficiently in Acod1-/- macrophages. In contrast, addition of citraconate strongly increased C. burnetii replication in Acod1+/- macrophages, whereas mesaconate weakly enhanced bacterial burden in Acod1-/- macrophages. Analysis of intracellular isomers showed that exogenous citraconate and mesaconate inhibited the generation of itaconate by infected Acod1+/- macrophages. Uptake of added isomers into Acod1-/- macrophages was increased after infection for itaconate and mesaconate, but not for citraconate. Mesaconate, but not citraconate, competed with itaconate for uptake into macrophages. Taken together, inhibition of itaconate generation by macrophages and interference with the uptake of extracellular itaconate could be identified as potential mechanisms behind the divergent effects of citraconate and mesaconate on C. burnetii replication in macrophages or in axenic culture. [ABSTRACT FROM AUTHOR]

Published
2024
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26. Double genetic disruption of lactate dehydrogenases A and B is required to ablate the “Warburg effect” restricting tumor growth to oxidative metabolism

Author

Ždralević, Maša, Brand, Almut, Di Ianni, Lorenza, Dettmer, Katja, Reinders, Jörg, Singer, Katrin, Peter, Katrin, Schnell, Annette, Bruss, Christina, Decking, Sonja-Maria, Koehl, Gudrun, Felipe-Abrio, Blanca, Durivault, Jérôme, Bayer, Pascale, Evangelista, Marie, O'Brien, Thomas, Oefner, Peter J., Renner, Kathrin, Pouysségur, Jacques, and Kreutz, Marina

Published
2018
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28. PriOmics: integration of high-throughput proteomic data with complementary omics layers using mixed graphical modeling with group priors

Author

Kosch, Robin, primary, Limm, Katharina, additional, Staiger, Annette M., additional, Kurz, Nadine S., additional, Seifert, Nicole, additional, Oláh, Bence, additional, Solbrig, Stefan, additional, Ziepert, Marita, additional, Chteinberg, Emil, additional, Spang, Rainer, additional, Siebert, Reiner, additional, Zacharias, Helena U., additional, Ott, German, additional, Oefner, Peter J., additional, and Altenbuchinger, Michael, additional

Published
2023
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41. Anomaly detection in mixed high-dimensional molecular data

Author

Buck, Lena, primary, Schmidt, Tobias, additional, Feist, Maren, additional, Schwarzfischer, Philipp, additional, Kube, Dieter, additional, Oefner, Peter J, additional, Zacharias, Helena U, additional, Altenbuchinger, Michael, additional, Dettmer, Katja, additional, Gronwald, Wolfram, additional, and Spang, Rainer, additional

Published
2023
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43. LDHA-Associated Lactic Acid Production Blunts Tumor Immunosurveillance by T and NK Cells

Author

Brand, Almut, Singer, Katrin, Koehl, Gudrun E., Kolitzus, Marlene, Schoenhammer, Gabriele, Thiel, Annette, Matos, Carina, Bruss, Christina, Klobuch, Sebastian, Peter, Katrin, Kastenberger, Michael, Bogdan, Christian, Schleicher, Ulrike, Mackensen, Andreas, Ullrich, Evelyn, Fichtner-Feigl, Stefan, Kesselring, Rebecca, Mack, Matthias, Ritter, Uwe, Schmid, Maximilian, Blank, Christian, Dettmer, Katja, Oefner, Peter J., Hoffmann, Petra, Walenta, Stefan, Geissler, Edward K., Pouyssegur, Jacques, Villunger, Andreas, Steven, André, Seliger, Barbara, Schreml, Stephan, Haferkamp, Sebastian, Kohl, Elisabeth, Karrer, Sigrid, Berneburg, Mark, Herr, Wolfgang, Mueller-Klieser, Wolfgang, Renner, Kathrin, and Kreutz, Marina

Published
2016
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49. Supplementary Figure 1 from Extracellular Citrate Affects Critical Elements of Cancer Cell Metabolism and Supports Cancer Development In Vivo

Author

Mycielska, Maria E., primary, Dettmer, Katja, primary, Rümmele, Petra, primary, Schmidt, Katharina, primary, Prehn, Cornelia, primary, Milenkovic, Vladimir M., primary, Jagla, Wolfgang, primary, Madej, Gregor M., primary, Lantow, Margareta, primary, Schladt, Moritz, primary, Cecil, Alexander, primary, Koehl, Gudrun E., primary, Eggenhofer, Elke, primary, Wachsmuth, Christian J., primary, Ganapathy, Vadivel, primary, Schlitt, Hans J., primary, Kunzelmann, Karl, primary, Ziegler, Christine, primary, Wetzel, Christian H., primary, Gaumann, Andreas, primary, Lang, Sven A., primary, Adamski, Jerzy, primary, Oefner, Peter J., primary, and Geissler, Edward K., primary

Published
2023
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50. Data from Extracellular Citrate Affects Critical Elements of Cancer Cell Metabolism and Supports Cancer Development In Vivo

Author

Mycielska, Maria E., primary, Dettmer, Katja, primary, Rümmele, Petra, primary, Schmidt, Katharina, primary, Prehn, Cornelia, primary, Milenkovic, Vladimir M., primary, Jagla, Wolfgang, primary, Madej, Gregor M., primary, Lantow, Margareta, primary, Schladt, Moritz, primary, Cecil, Alexander, primary, Koehl, Gudrun E., primary, Eggenhofer, Elke, primary, Wachsmuth, Christian J., primary, Ganapathy, Vadivel, primary, Schlitt, Hans J., primary, Kunzelmann, Karl, primary, Ziegler, Christine, primary, Wetzel, Christian H., primary, Gaumann, Andreas, primary, Lang, Sven A., primary, Adamski, Jerzy, primary, Oefner, Peter J., primary, and Geissler, Edward K., primary

Published
2023
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