scholarly journals MIAMI––a tool for non-targeted detection of metabolic flux changes for mode of action identification

2020 ◽  
Vol 36 (12) ◽  
pp. 3925-3926
Author(s):  
Christian-Alexander Dudek ◽  
Carsten Reuse ◽  
Regine Fuchs ◽  
Janneke Hendriks ◽  
Veronique Starck ◽  
...  

Abstract Summary Mass isotopolome analysis for mode of action identification (MIAMI) combines the strengths of targeted and non-targeted approaches to detect metabolic flux changes in gas chromatography/mass spectrometry datasets. Based on stable isotope labeling experiments, MIAMI determines a mass isotopomer distribution-based (MID) similarity network and incorporates the data into metabolic reference networks. By identifying MID variations of all labeled compounds between different conditions, targets of metabolic changes can be detected. Availability and implementation We implemented the data processing in C++17 with Qt5 back-end using MetaboliteDetector and NTFD libraries. The data visualization is implemented as web application. Executable binaries and visualization are freely available for Linux operating systems, the source code is licensed under General Public License version 3.

2003 ◽  
Vol 69 (3) ◽  
pp. 1614-1622 ◽  
Author(s):  
P. Padmanabhan ◽  
S. Padmanabhan ◽  
C. DeRito ◽  
A. Gray ◽  
D. Gannon ◽  
...  

ABSTRACT Our goal was to develop a field soil biodegradation assay using 13C-labeled compounds and identify the active microorganisms by analyzing 16S rRNA genes in soil-derived 13C-labeled DNA. Our biodegradation approach sought to minimize microbiological artifacts caused by physical and/or nutritional disturbance of soil associated with sampling and laboratory incubation. The new field-based assay involved the release of 13C-labeled compounds (glucose, phenol, caffeine, and naphthalene) to soil plots, installation of open-bottom glass chambers that covered the soil, and analysis of samples of headspace gases for 13CO2 respiration by gas chromatography/mass spectrometry (GC/MS). We verified that the GC/MS procedure was capable of assessing respiration of the four substrates added (50 ppm) to 5 g of soil in sealed laboratory incubations. Next, we determined background levels of 13CO2 emitted from naturally occurring soil organic matter to chambers inserted into our field soil test plots. We found that the conservative tracer, SF6, that was injected into the headspace rapidly diffused out of the soil chamber and thus would be of little value for computing the efficiency of retaining respired 13CO2. Field respiration assays using all four compounds were completed. Background respiration from soil organic matter interfered with the documentation of in situ respiration of the slowly metabolized (caffeine) and sparingly soluble (naphthalene) compounds. Nonetheless, transient peaks of 13CO2 released in excess of background were found in glucose- and phenol-treated soil within 8 h. Cesium-chloride separation of 13C-labeled soil DNA was followed by PCR amplification and sequencing of 16S rRNA genes from microbial populations involved with 13C-substrate metabolism. A total of 29 full sequences revealed that active populations included relatives of Arthrobacter, Pseudomonas, Acinetobacter, Massilia, Flavobacterium, and Pedobacter spp. for glucose; Pseudomonas, Pantoea, Acinetobacter, Enterobacter, Stenotrophomonas, and Alcaligenes spp. for phenol; Pseudomonas, Acinetobacter, and Variovorax spp. for naphthalene; and Acinetobacter, Enterobacter, Stenotrophomonas, and Pantoea spp. for caffeine.


2011 ◽  
Vol 7 (2) ◽  
pp. 71
Author(s):  
Ivan Magdalenić ◽  
Danijel Radošević ◽  
Dragutin Kermek

The on demand generation of source code and its execution is essential if computers are expected to play an active role in information discovery and retrieval. This paper presents a model of implementation of a source code generator, whose purpose is to generate source code on demand. Theimplementation of the source code generator is fully configurable and its adoption to a new application is done by changing the generator configuration and not the generator itself. The advantage of using the source code generator is rapid and automatic development of a family of application once necessary program templates and generator configuration are made. The model of implementation of the source code generator is general and implemented source code generator can be used in differentareas. We use a source code generator for dynamic generation of ontology supported Web services for data retrieval and for building of different kind of web application.


2019 ◽  
Vol 31 (1) ◽  
pp. 159
Author(s):  
J. Chung ◽  
R. Clifford ◽  
G. Sriram ◽  
C. Keefer

Embryo quality and maternal recognition are crucial for successful initiation of bovine pregnancy. Previous studies have proposed that better quality embryos use aerobic glycolysis to meet a high demand for biomass components. While hexoses are the principal carbon sources that provide energy to glycolysis, little is known about partitioning of hexoses into metabolic pathways or alteration of partitioning when different hexoses are simultaneously available. Specific metabolic utilisation of 13C-labelled substrates can be quantified by gas chromatography-mass spectrometry, an excellent noninvasive approach for studying cellular metabolism. To assess hexose flux through central metabolism, bovine blastocysts and CT1 cells (a bovine trophectoderm cell line) were cultured in SOF-based media supplemented with combinations of 50% uniformly labelled (U) and 50% naturally abundant (NA) glucose (Glc) or fructose (Fru) (U−13C Glc+NA Glc, U−13C Fru+NA Fru, U−13C Glc+NA Fru, and U−13C Fru+NA Glc), such that total hexose concentration was 1.5mM. Metabolites in spent media from 24-h cultures of single or 5 blastocysts (40-μL drops; 5% CO2, 5% O2, 90% N2) and 1-, 2-, 3-, 6-, 8-, and 24-h incubations of CT1 cells (150 μL; ~3×104 cells per well; 5% CO2, 95% air) were extracted with a MeOH-CHCl3 reagent, derivatized, and analysed by gas chromatography-mass spectrometry. Measurement of mass isotopomer distributions of metabolites, chiefly pyruvate, lactate, and amino acids, followed by correction for natural abundances and metabolic modelling, revealed several insights. For instance, five Day 7 or Day 8 blastocysts (Day 0=fertilization) supplied with U−13C Glc+NA Fru displayed 13C enrichments of 80.3%±1.4% for pyruvate and 71.6%±2.8% for lactate, whereas when supplied with U−13C Fru+NA Glc, they displayed lower 13C enrichments of 5.7%±2.4% for pyruvate and 2.8%±0.4% lactate (mean±standard deviation, n=3 to 4). Metabolic modelling revealed that when Glc and Fru are simultaneously available, the blastocysts used 2.5±0.2 moles of Fru per 100 moles of Glc used. Furthermore, 13C enrichment of pyruvate was 42.0±0.6% when U−13C Glc+NA Glc was supplied and 37.8±2.7% when U−13C Fru+NA Fru was supplied. Lactate enrichments followed a similar trend. This indicates that, individually, Glc and Fru were utilised majorly through aerobic glycolysis with some involvement of the pentose phosphate pathway. Alanine was negligibly labelled in all of the experiments, suggesting either a low TCA flux or that alanine is diluted by extra- or intracellular amino or fatty acids. Single blastocysts and CT1 cells showed a similar labelling pattern when hexoses were available. Following Glc depletion at 8h in CT1 cultures, the 13C enrichments of alanine and citrate in the media increased, suggesting a sharp alteration of metabolic state. These findings demonstrate that metabolic flux can be comprehensively analysed for single bovine blastocysts and CT1 cell metabolism models that of the blastocyst. This project was supported by Agriculture and Food Research Initiative Competitive Grant no. 2015-67015-23237 from the USDA National Institute of Food and Agriculture.


1988 ◽  
Vol 20 (11-12) ◽  
pp. 17-23 ◽  
Author(s):  
Wilfred E. Pereira ◽  
Colleen E. Rostad ◽  
David M. Updegraff ◽  
Jon L. Bennett

Azaarenes or aromatic nitrogen heterocycles are a class of compounds found in wood-preservative wastes containing creosote. The fate and movement of these compounds in contaminated aquifers is not well understood. Water-quality studies in an aquifer contaminated with creosote near Pensacola, Florida, indicated that ground water was contaminated with several azaarenes and their oxygenated and alkylated derivatives, suggesting that these oxygenated compounds may be products of microbial transformation reactions. Accordingly, laboratory studies were designed to investigate the fate of these compounds. Under aerobic conditions, soil pseudomonads isolated from creosote-contaminated soil converted quinoline to 2(lH)quinolinone that subsequently was degraded to unknown products. A methanogenic consortium isolated from an anaerobic sewage digestor, in presence of ground-water and creosote-contaminated soil, converted quinoline, isoquinoline, and 4-methylquinoline to their respective oxygenated analogs. In addition, N-, C-, and O-methylated analogs of oxygenated azaarenes were identified by gas chromatography-mass spectrometry (GC-MS) in anaerobic cultures. Under the experimental conditions, 2-methylquinoline was biorefractory. Presence of similar biotransformation products in anaerobic cultures and contaminated ground water from the Pensacola site provided further evidence that these compounds indeed were microbial transformation products. Stable isotope labeling studies indicated that the source of the oxygen atom for this hydroxylation reaction under aerobic and anaerobic conditions was water. A mechanism was proposed for this hydroxylation reaction. Whereas parent azaarenes are biodegradable in both anaerobic and aerobic zones, oxygenated and alkylated analogs are more biorefractory and, hence, persistent in anaerobic zones of contaminated aquifers.


2019 ◽  
Vol 35 (21) ◽  
pp. 4462-4464
Author(s):  
Jordan H Creed ◽  
Garrick Aden-Buie ◽  
Alvaro N Monteiro ◽  
Travis A Gerke

Abstract Summary Complementary advances in genomic technology and public data resources have created opportunities for researchers to conduct multifaceted examination of the genome on a large scale. To meet the need for integrative genome wide exploration, we present epiTAD. This web-based tool enables researchers to compare genomic 3D organization and annotations across multiple databases in an interactive manner to facilitate in silico discovery. Availability and implementation epiTAD can be accessed at https://apps.gerkelab.com/epiTAD/ where we have additionally made publicly available the source code and a Docker containerized version of the application.


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