TY - JOUR A1 - Ahmed, Zeeshan A1 - Zeeshan, Saman A1 - Huber, Claudia A1 - Hensel, Michael A1 - Schomburg, Dietmar A1 - Münch, Richard A1 - Eylert, Eva A1 - Eisenreich, Wolfgang A1 - Dandekar, Thomas T1 - ‘Isotopo’ a database application for facile analysis and management of mass isotopomer data JF - Database N2 - The composition of stable-isotope labelled isotopologues/isotopomers in metabolic products can be measured by mass spectrometry and supports the analysis of pathways and fluxes. As a prerequisite, the original mass spectra have to be processed, managed and stored to rapidly calculate, analyse and compare isotopomer enrichments to study, for instance, bacterial metabolism in infection. For such applications, we provide here the database application ‘Isotopo’. This software package includes (i) a database to store and process isotopomer data, (ii) a parser to upload and translate different data formats for such data and (iii) an improved application to process and convert signal intensities from mass spectra of \(^{13}C\)-labelled metabolites such as tertbutyldimethylsilyl-derivatives of amino acids. Relative mass intensities and isotopomer distributions are calculated applying a partial least square method with iterative refinement for high precision data. The data output includes formats such as graphs for overall enrichments in amino acids. The package is user-friendly for easy and robust data management of multiple experiments. KW - stable-isotope Y1 - 2014 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-120102 VL - 2014 IS - bau077 ER - TY - JOUR A1 - Dandekar, Thomas A1 - Ahmed, Zeeshan A1 - Saman, Zeeshan A1 - Huber, Claudia A1 - Hensel, Michael A1 - Schomburg, Dietmar A1 - Münch, Richard A1 - Eisenreich, Wolfgang T1 - Software LS-MIDA for efficient mass isotopomer distribution analysis in metabolic modelling JF - BMC Bioinformatics N2 - Background The knowledge of metabolic pathways and fluxes is important to understand the adaptation of organisms to their biotic and abiotic environment. The specific distribution of stable isotope labelled precursors into metabolic products can be taken as fingerprints of the metabolic events and dynamics through the metabolic networks. An open-source software is required that easily and rapidly calculates from mass spectra of labelled metabolites, derivatives and their fragments global isotope excess and isotopomer distribution. Results The open-source software “Least Square Mass Isotopomer Analyzer” (LS-MIDA) is presented that processes experimental mass spectrometry (MS) data on the basis of metabolite information such as the number of atoms in the compound, mass to charge ratio (m/e or m/z) values of the compounds and fragments under study, and the experimental relative MS intensities reflecting the enrichments of isotopomers in 13C- or 15 N-labelled compounds, in comparison to the natural abundances in the unlabelled molecules. The software uses Brauman’s least square method of linear regression. As a result, global isotope enrichments of the metabolite or fragment under study and the molar abundances of each isotopomer are obtained and displayed. Conclusions The new software provides an open-source platform that easily and rapidly converts experimental MS patterns of labelled metabolites into isotopomer enrichments that are the basis for subsequent observation-driven analysis of pathways and fluxes, as well as for model-driven metabolic flux calculations. KW - LS-MIDA Y1 - 2013 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-95882 UR - http://www.biomedcentral.com/1471-2105/14/218 ER - TY - JOUR A1 - Scognamiglio, Roberta A1 - Cabezas-Wallscheid, Nina A1 - Thier, Marc Christian A1 - Altamura, Sandro A1 - Reyes, Alejandro A1 - Prendergast, Áine M. A1 - Baumgärtner, Daniel A1 - Carnevalli, Larissa S. A1 - Atzberger, Ann A1 - Haas, Simon A1 - von Paleske, Lisa A1 - Boroviak, Thorsten A1 - Wörsdörfer, Philipp A1 - Essers, Marieke A. G. A1 - Kloz, Ulrich A1 - Eisenman, Robert N. A1 - Edenhofer, Frank A1 - Bertone, Paul A1 - Huber, Wolfgang A1 - van der Hoeven, Franciscus A1 - Smith, Austin A1 - Trumpp, Andreas T1 - Myc depletion induces a pluripotent dormant state mimicking diapause JF - Cell N2 - Mouse embryonic stem cells (ESCs) are maintained in a naive ground state of pluripotency in the presence of MEK and GSK3 inhibitors. Here, we show that ground-state ESCs express low Myc levels. Deletion of both c-myc and N-myc (dKO) or pharmacological inhibition of Myc activity strongly decreases transcription, splicing, and protein synthesis, leading to proliferation arrest. This process is reversible and occurs without affecting pluripotency, suggesting that Myc-depleted stem cells enter a state of dormancy similar to embryonic diapause. Indeed, c-Myc is depleted in diapaused blastocysts, and the differential expression signatures of dKO ESCs and diapaused epiblasts are remarkably similar. Following Myc inhibition, pre-implantation blastocysts enter biosynthetic dormancy but can progress through their normal developmental program after transfer into pseudo-pregnant recipients. Our study shows that Myc controls the biosynthetic machinery of stem cells without affecting their potency, thus regulating their entry and exit from the dormant state. KW - hematopoietic stem cells KW - leukemia inhibitory factor KW - c-Myc KW - N-Myc KW - gene expression KW - embryonic stem cells KW - self-renewal KW - protein synthesis Y1 - 2016 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-190868 VL - 164 IS - 4 ER -