Relevant bibliographies by topics / Metabolomic analyses

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Metabolomic analyses'

Author: Grafiati
Published: 25 June 2022
Last updated: 31 July 2025

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Journal articles on the topic "Metabolomic analyses"

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Yu, Ji-Woo, Min-Ho Song, Ji-Ho Lee, et al. "Urinary Metabolomic Differentiation of Infants Fed on Human Breastmilk and Formulated Milk." Metabolites 14, no. 2 (2024): 128. http://dx.doi.org/10.3390/metabo14020128.

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Human breastmilk is an invaluable nutritional and pharmacological resource with a highly diverse metabolite profile, which can directly affect the metabolism of infants. Application of metabolomics can discriminate the complex relationship between such nutrients and infant health. As the most common biological fluid in metabolomic study, infant urinary metabolomics may provide the physiological impacts of different nutritional resources, namely human breastmilk and formulated milk. In this study, we aimed to identify possible differences in the urine metabolome of 30 infants (1–14 days after b
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Nakhod, Valeriya I., Tatiana V. Butkova, Kristina A. Malsagova, et al. "Sample Preparation for Metabolomic Analysis in Exercise Physiology." Biomolecules 14, no. 12 (2024): 1561. https://doi.org/10.3390/biom14121561.

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Metabolomics investigates final and intermediate metabolic products in cells. Assessment of the human metabolome relies principally on the analysis of blood, urine, saliva, sweat, and feces. Tissue biopsy is employed less frequently. Understanding the metabolite composition of biosamples from athletes can significantly improve our knowledge of molecular processes associated with the efficiency of training and recovery. Such knowledge may also lead to new management opportunities. Successful execution of metabolomic studies requires simultaneous qualitative and quantitative analyses of numerous
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Szczerbinski, Lukasz, Gladys Wojciechowska, Adam Olichwier, et al. "Untargeted Metabolomics Analysis of the Serum Metabolic Signature of Childhood Obesity." Nutrients 14, no. 1 (2022): 214. http://dx.doi.org/10.3390/nu14010214.

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Obesity rates among children are growing rapidly worldwide, placing massive pressure on healthcare systems. Untargeted metabolomics can expand our understanding of the pathogenesis of obesity and elucidate mechanisms related to its symptoms. However, the metabolic signatures of obesity in children have not been thoroughly investigated. Herein, we explored metabolites associated with obesity development in childhood. Untargeted metabolomic profiling was performed on fasting serum samples from 27 obese Caucasian children and adolescents and 15 sex- and age-matched normal-weight children. Three m
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Sebastiani, Paola, and Nalini Raghavachari. "METABOLOMICS OF LONGEVITY AND LIFESPAN." Innovation in Aging 7, Supplement_1 (2023): 631. http://dx.doi.org/10.1093/geroni/igad104.2056.

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Abstract Serum metabolomics has been an important source of biomarkers of aging and longevity for years. This symposium will bring together investigators from large studies of human longevity to provide an overview of recent discoveries on serum metabolomics of aging and extreme human longevity, their connections to genetic variations, and highlight the challenges of correlating metabolomic profiles of aging in human studies and across multiple species. Dr. Sebastiani will describe results from analyses of serum metabolomics of participants enrolled in the Long Life Family Study, highlight sim
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Qi, Jinwei, Kang Li, Yunxia Shi, et al. "Cross-Species Comparison of Metabolomics to Decipher the Metabolic Diversity in Ten Fruits." Metabolites 11, no. 3 (2021): 164. http://dx.doi.org/10.3390/metabo11030164.

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Fruits provide humans with multiple kinds of nutrients and protect humans against worldwide nutritional deficiency. Therefore, it is essential to understand the nutrient composition of various fruits in depth. In this study, we performed LC-MS-based non-targeted metabolomic analyses with ten kinds of fruit, including passion fruit, mango, starfruit, mangosteen, guava, mandarin orange, grape, apple, blueberry, and strawberry. In total, we detected over 2500 compounds and identified more than 300 nutrients. Although the ten fruits shared 909 common-detected compounds, each species accumulated a
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Kim, Hyun Woo. "Metabolomic Approaches to Investigate the Effect of Metformin: An Overview." International Journal of Molecular Sciences 22, no. 19 (2021): 10275. http://dx.doi.org/10.3390/ijms221910275.

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Metformin is the first-line antidiabetic drug that is widely used in the treatment of type 2 diabetes mellitus (T2DM). Even though the various therapeutic potential of metformin treatment has been reported, as well as the improvement of insulin sensitivity and glucose homeostasis, the mechanisms underlying those benefits are still not fully understood. In order to explain the beneficial effects on metformin treatment, various metabolomics analyses have been applied to investigate the metabolic alterations in response to metformin treatment, and significant systemic metabolome changes were obse
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Li, Jie, Huan Liu, Panpan Yang, Feng Zhu, Fei Shen, and Geyu Liang. "Identifying Aberrant 1CM-Related Pathways by Multi-Omics Analysis and Validating Tumor Inhibitory Effect of One-Carbon Donor Betaine in Gastric Cancer." International Journal of Molecular Sciences 26, no. 8 (2025): 3841. https://doi.org/10.3390/ijms26083841.

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Metabolic reprogramming, a well-established hallmark of gastric carcinogenesis, has been implicated in driving tumor progression. Nevertheless, the precise mechanisms through which these metabolic alterations orchestrate gastric cancer (GC) pathogenesis remain incompletely elucidated. We conducted metabolomic analyses of plasma samples obtained from 334 patients with GC and healthy individuals to identify differential metabolites and metabolic pathways. Transcriptome sequencing was conducted on six pairs of tissues, and a joint analysis of the transcriptome and metabolome was performed. Single
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Patterson, Jeffrey, Xiaojian Shi, William Bresette, et al. "A Metabolomic Analysis of the Sex-Dependent Hispanic Paradox." Metabolites 11, no. 8 (2021): 552. http://dx.doi.org/10.3390/metabo11080552.

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In Mexican Americans, metabolic conditions, such as obesity and type 2 diabetes (T2DM), are not necessarily associated with an increase in mortality; this is the so-called Hispanic paradox. In this cross-sectional analysis, we used a metabolomic analysis to look at the mechanisms behind the Hispanic paradox. To do this, we examined dietary intake and body mass index (BMI; kg/m2) in men and women and their effects on serum metabolomic fingerprints in 70 Mexican Americans (26 men, 44 women). Although having different BMI values, the participants had many similar anthropometric and biochemical pa
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Kelly, Patricia E., H. Jene Ng, Gillian Farrell, et al. "An Optimised Monophasic Faecal Extraction Method for LC-MS Analysis and Its Application in Gastrointestinal Disease." Metabolites 12, no. 11 (2022): 1110. http://dx.doi.org/10.3390/metabo12111110.

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Liquid chromatography coupled with mass spectrometry (LC-MS) metabolomic approaches are widely used to investigate underlying pathogenesis of gastrointestinal disease and mechanism of action of treatments. However, there is an unmet requirement to assess faecal metabolite extraction methods for large-scale metabolomics studies. Current methods often rely on biphasic extractions using harmful halogenated solvents, making automation and large-scale studies challenging. The present study reports an optimised monophasic faecal extraction protocol that is suitable for untargeted and targeted LC-MS
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Kreuzer, Kathrin, Alexandra Reiter, Anna Maria Birkl-Töglhofer, et al. "The PROVIT Study—Effects of Multispecies Probiotic Add-on Treatment on Metabolomics in Major Depressive Disorder—A Randomized, Placebo-Controlled Trial." Metabolites 12, no. 8 (2022): 770. http://dx.doi.org/10.3390/metabo12080770.

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The gut–brain axis plays a role in major depressive disorder (MDD). Gut-bacterial metabolites are suspected to reduce low-grade inflammation and influence brain function. Nevertheless, randomized, placebo-controlled probiotic intervention studies investigating metabolomic changes in patients with MDD are scarce. The PROVIT study (registered at clinicaltrials.com NCT03300440) aims to close this scientific gap. PROVIT was conducted as a randomized, single-center, double-blind, placebo-controlled multispecies probiotic intervention study in individuals with MDD (n = 57). In addition to clinical a
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Dissertations / Theses on the topic "Metabolomic analyses"

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Robinson, Andrew Raymond. "Metabolomic analyses of wood attributes in tree species." Thesis, University of British Columbia, 2009. http://hdl.handle.net/2429/7697.

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Metabolomics is an emerging field in functional plant biology that attempts to relate patterns in the molecular intermediates and products of metabolic pathways with genetic, gene expression, environmental and phenotypic traits - at the whole-tissue and/or whole-organism level. There is enormous potential for metabolomics tools to be applied in the study of tree species, and the demand for widespread application is promoting an ongoing evolution and refinement of newly-developed techniques. This body of research addresses the application of broad-scale, non-targeted metabolomics to questions
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Hobani, Yahya Hasan. "Metabolomic analyses of Drosophila models for human renal disease." Thesis, University of Glasgow, 2012. http://theses.gla.ac.uk/3222/.

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Inborn errors of metabolism (IEMs) constitute a major class of genetic disorder. Most of IEMs are transmitted recessively, so consanguinity has a huge impact on disease prevalence, particularly in societies like Saudi Arabia, where consanguineous marriage is common. Understanding and treatment are very important in genetic diseases, and simple models would be helpful. Thus, the feasibility of applying the fruit fly, Drosophila melanogaster, as a model for a human renal genetic disease - xanthinuria - was investigated. Xanthinuria is a rare human genetic disease, caused by mutations in xanthine
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Wibom, Carl. "Multivariate analyses of proteomic and metabolomic patterns in brain tumors." Doctoral thesis, Umeå universitet, Onkologi, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-25670.

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Glioblastoma multiforme (GBM) is the most common primary brain tumor. Given the current standard of care, the prognosis for patients diagnosed with this disease is still poor. There consequently exists a need to improve current treatments, as well as to develop new ones. Many obstacles however need to be overcome to facilitate this effort and one of these involves the development of improved methods to monitor treatment effects. At present, the effects of treatment are typically assessed by radiological means several months after its initiation, which is unsatisfactory for a fast growing tumor
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Taraboletti, Alexandra Anna. "Chemical and Metabolomic Analyses of Cuprizone-Induced Demyelination and Remyelination." University of Akron / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=akron1498535047689141.

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Barberis, Elettra. "New non-invasive approaches for proteomics and metabolomics analyses." Doctoral thesis, Università del Piemonte Orientale, 2020. http://hdl.handle.net/11579/115041.

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Recent technological developments in analytical chemistry spurred the analysis of historical, archaeological and paleontological objects. The Identification of proteins and small molecules from cultural heritage objects is crucial to characterize the materials used by the artists and it can provide invaluable information for designing restoration interventions. All most the developed analytical procedures require at least a micro sampling from the object. However, non-invasive techniques are always preferred for the analysis of precious and unique objects. A part of this PhD research focused
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Orland, Annika [Verfasser]. "Metabolomic and Transcriptomic Analyses in the Characterization of Herbal Substances and their Preparations = Metabolom- und Transkriptom-Analysen zur Charakterisierung von pflanzlichen Substanzen und daraus hergestellten Zubereitungen / Annika Orland." Bonn : Universitäts- und Landesbibliothek Bonn, 2014. http://d-nb.info/1077290357/34.

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Vincent, Isabel May. "Using metabolomic analyses to study mode of action of and resistance to Eflornithine in Trypanosoma brucei." Thesis, University of Glasgow, 2011. http://theses.gla.ac.uk/3125/.

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Human African trypanosomiasis (HAT) is a disease that is in desperate need of new pharmacological agents active against the causative parasite, the flagellated protozoan Trypanosoma brucei. In this thesis, new metabolomics techniques have been developed to study pathways in response to drug action with the aim of defining the mode of action of current and future drugs. Eflornithine, a polyamine pathway inhibitor, was used as a proof of principle, revealing both expected changes that correlate well with the literature and unexpected changes that lead to pathways and metabolites not previously d
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Sun, Jihan. "Hepatocellular carcinoma complicating MASLD : metabolomic, lipidomic and gene expression analyses of tumorous and non-tumorous liver." Electronic Thesis or Diss., Besançon, Université Marie et Louis Pasteur, 2025. http://www.theses.fr/2025PAST3001.

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Le carcinome hépatocellulaire (CHC) peut compliquer une hépatopathie chronique d'origine virale, alcoolique ou une stéatopathie métabolique (MASLD), une affection qui touche 25 % de la population mondiale et dont l'incidence augmente. Bien que le CHC se développe habituellement en cas de cirrhose, 25 à 30 % des patients atteints de CHC sur MASLD (CHC-MASLD) ne présentent aucune fibrose ou une fibrose légère, ce qui suggère que différents mécanismes de cancérogénèse sont impliqués dans le CHC-MASLD. Notre étude s'est concentrée sur les analyses de lipidomiques et d'expression génique entre les
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Boudah, Samia. "Développement et application de méthodes de chromatographie liquide couplées à la spectrométrie de masse à haute résolution pour les analyses métabolomiques et lipidomiques de larges cohortes." Thesis, Paris 6, 2014. http://www.theses.fr/2014PA066281/document.

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Le profilage métabolomique global de matrices biologiques dans de larges séries d'échantillon est un enjeu majeur. Dans ce contexte, notre travail vise à développer des approches LC-HRMS et outils bioinformatiques pour les analyses métabolomique et lipidomique de larges cohortes. Dans un premier temps, nous avons développé puis évalué la pertinence de 4 méthodes LC-HRMS dans l'annotation du métabolome/lipidome sérique humain. Ainsi, une base de données spectrales a été implémentée à l'aide de spectres MS, MS/MS et les temps de rétention de composés de référence afin d'assurer l'annotation de j
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Díaz, San Pedro Ramón. "Potential of LC-(Q)TOF MS in target and non-target analyses: wide scope screening of organic contaminants and metabolomic applications." Doctoral thesis, Universitat Jaume I, 2016. http://hdl.handle.net/10803/669026.

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En la presente tesis se ha investigado el potencial de la cromatografía líquida acoplada a la espectrometría de masas de alta resolución en aproximaciones analíticas tanto de tipo target (análisis de compuestos diana) como non-target (análisis no dirigido). Las ventajas que este tipo de instrumentación ofrece, derivadas de la adquisición del espectro completo con alta resolución y medidas de masa exacta, la hacen idónea para el screening de contaminantes orgánicos así como para estudios metabolómicos tanto de denominación de origen de alimentos como de carácter biomédico. El trabajo present
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Books on the topic "Metabolomic analyses"

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K, Saito, Dixon Richard A. 1951-, and Willmitzer Lothar, eds. Plant metabolomics. Springer, 2006.

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Xia, Yinglin, and Jun Sun. Microbiome and Metabolomics: Statistical Data Analyses. American Chemical Society, 2022. http://dx.doi.org/10.1021/acsinfocus.7e5003.

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Wolfram, Weckwerth, ed. Metabolomics: Methods and protocols. Humana Press, 2007.

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E, Burczynski Michael, and Rockett John C, eds. Surrogate tissue analysis: Genomic, proteomic and metabolomic approaches. Taylor & Francis, 2005.

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Vaidyanathan, Seetharaman, George G. Harrigan, and Royston Goodacre, eds. Metabolome Analyses: Strategies for Systems Biology. Springer US, 2005. http://dx.doi.org/10.1007/b106967.

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Xia, Yinglin, Jun Sun, and Xiaotao Shen, Ph.D., Stanford University School of Medicine. Statistical Data Analysis of Microbiomes and Metabolomics. American Chemical Society, 2022. http://dx.doi.org/10.1021/acsinfocus.7e5035.

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Li, Shuzhao, ed. Computational Methods and Data Analysis for Metabolomics. Springer US, 2020. http://dx.doi.org/10.1007/978-1-0716-0239-3.

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Bjerrum, Jacob T. Metabonomics: Methods and protocols. Humana Press, 2015.

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Datta, Susmita, and Bart J. A. Mertens, eds. Statistical Analysis of Proteomics, Metabolomics, and Lipidomics Data Using Mass Spectrometry. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-45809-0.

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Roessner, Ute, and Daniel Anthony Dias. Metabolomics tools for natural product discovery: Methods and protocols. Humana Press, 2013.

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Book chapters on the topic "Metabolomic analyses"

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Buszewska-Forajta, Magdalena, Joanna Raczak-Gutknecht, Anna Rajska, and Michał J. Markuszewski. "Metabolomic Analyses of Natural Medicinal Products." In Handbook of Bioanalytics. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-95660-8_21.

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Buszewska-Forajta, Magdalena, Joanna Raczak-Gutknecht, Anna Rajska, and Michał J. Markuszewski. "Metabolomic Analyses of Natural Medicinal Products." In Handbook of Bioanalytics. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-63957-0_21-1.

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Kanani, H., B. Dutta, J. Quackenbush, and M. I. Klapa. "Time-Series Integrated Metabolomic and Transcriptional Profiling Analyses." In Concepts in Plant Metabolomics. Springer Netherlands, 2007. http://dx.doi.org/10.1007/978-1-4020-5608-6_7.

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Richard, Vincent R., Simon D. Bourque, and Vladimir I. Titorenko. "Metabolomic and Lipidomic Analyses of Chronologically Aging Yeast." In Methods in Molecular Biology. Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4939-1363-3_21.

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Hayashi, Yohei, and Yasuhisa Matsui. "Metabolomic and Proteomic Analyses of Mouse Primordial Germ Cells." In Stem Cells and Aging. Springer New York, 2018. http://dx.doi.org/10.1007/7651_2018_164.

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Bonetta Valentino, Rosalin, Jean-Paul Ebejer, and Gianluca Valentino. "Machine Learning Using Neural Networks for Metabolomic Pathway Analyses." In Methods in Molecular Biology. Springer US, 2022. http://dx.doi.org/10.1007/978-1-0716-2617-7_17.

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Noureldein, Mai, Darcy Cochran, Fatema Bhinderwala, et al. "Protocols for Metabolomic Analyses to Assess Changes in Central Carbon Metabolism from Neural Tissue." In Methods in Molecular Biology. Springer US, 2025. https://doi.org/10.1007/978-1-0716-4534-5_24.

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Marrocco, Cristina, Angelo D’Alessandro, Sara Rinalducci, Cristiana Mirasole, and Lello Zolla. "Untargeted metabolomic analyses open new scenarios in post mortem pig muscles: Casertana and Large White." In Farm animal proteomics 2013. Wageningen Academic Publishers, 2013. http://dx.doi.org/10.3920/978-90-8686-776-9_68.

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Scholz, Matthias, and Joachim Selbig. "Visualization and Analysis of Molecular Data." In Metabolomics. Humana Press, 2007. http://dx.doi.org/10.1007/978-1-59745-244-1_6.

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Wishart, David S. "Metabolomic Data Exploration and Analysis with the Human Metabolome Database." In Computational Methods and Data Analysis for Metabolomics. Springer US, 2020. http://dx.doi.org/10.1007/978-1-0716-0239-3_10.

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Conference papers on the topic "Metabolomic analyses"

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Sarker, Kowshika, Ruoqing Zhu, Hannah Diane Holscher, and ChengXiang Zhai. "Prior-guided longitudinal metabolomic analysis." In 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2024. https://doi.org/10.1109/bibm62325.2024.10821745.

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Winston, Zoe, Blake Rushing, Susan McRitchie, Emily Harville, Susan Sumner, and Andrew Lee. "A Metabolomics Analysis of Pregnancy Complications." In 2024 IEEE Integrated STEM Education Conference (ISEC). IEEE, 2024. http://dx.doi.org/10.1109/isec61299.2024.10665262.

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Pan, Minglei, Zengding Liu, and Fen Miao. "Unsupervised Metabolomic Analysis for Detecting Early-warning Signals during Progression of Colorectal Cancer." In 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2024. https://doi.org/10.1109/bibm62325.2024.10822307.

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Yang, P., X. Hu, E. Iffrig, G. S. Martin, D. P. Jones, and A. M. Esper. "Serial Metabolomic Analyses in Sepsis-Induced Acute Respiratory Distress Syndrome." In American Thoracic Society 2022 International Conference, May 13-18, 2022 - San Francisco, CA. American Thoracic Society, 2022. http://dx.doi.org/10.1164/ajrccm-conference.2022.205.1_meetingabstracts.a5139.

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Ha, Soo Jung, Gordon Showalter, Jenna Rickus, et al. "Abstract B37: Proteomic and metabolomic analyses of glioblastoma using mass spectrometry." In Abstracts: AACR-NCI-EORTC International Conference: Molecular Targets and Cancer Therapeutics--Oct 19-23, 2013; Boston, MA. American Association for Cancer Research, 2013. http://dx.doi.org/10.1158/1535-7163.targ-13-b37.

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Uchimido, R., K. Kami, R. Yokoe, I. Tsuchiya, T. Hase, and K. Wakabayashi. "Serial Metabolomic Analyses Identify Distinct Clinical Implications of Biomarkers in Severe COVID-19 Patients." In American Thoracic Society 2023 International Conference, May 19-24, 2023 - Washington, DC. American Thoracic Society, 2023. http://dx.doi.org/10.1164/ajrccm-conference.2023.207.1_meetingabstracts.a1652.

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Chu, Ching-Yu, Szu-Yuan Chen, Fu-Yu Chueh, Mei-Ling Cheng, and Chao-Lan Yu. "Abstract 2564: Integrated transcriptomic, proteomic, and metabolomic analyses of human and mouse T cell leukemia." In Proceedings: AACR Annual Meeting 2020; April 27-28, 2020 and June 22-24, 2020; Philadelphia, PA. American Association for Cancer Research, 2020. http://dx.doi.org/10.1158/1538-7445.am2020-2564.

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Zhang, Yuhan, Junjie Qin, Xiaomin Hu, et al. "IDDF2023-ABS-0104 Metagenomic and metabolomic analyses of colorectal precancerous lesions and temporal changes of key signatures after polypectomy." In Abstracts of the International Digestive Disease Forum (IDDF), Hong Kong, 10–11 June 2023. BMJ Publishing Group Ltd and British Society of Gastroenterology, 2023. http://dx.doi.org/10.1136/gutjnl-2023-iddf.8.

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"PREDICTED RELATIVE METABOLOMIC TURNOVER - Predicting Changes in the Environmental Metabolome from the Metagenome." In Metagenomic Sequence Data Analysis. SciTePress - Science and and Technology Publications, 2011. http://dx.doi.org/10.5220/0003314803370345.

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Lopez-Pedrera, C., T. Cerdó, L. Woodridge, et al. "POS1401 INTEGRATION OF PROTEOMIC AND METABOLOMIC ANALYSES FOR STRATIFYING SYSTEMIC LUPUS ERYTHEMATOSUS PATIENTS: UNVEILING SIGNATURES ASSOCIATED WITH CARDIOVASCULAR RISK AND RENAL COMPLICATIONS." In EULAR 2024 European Congress of Rheumatology, 12-15 June. Vienna, Austria. BMJ Publishing Group Ltd and European League Against Rheumatism, 2024. http://dx.doi.org/10.1136/annrheumdis-2024-eular.5240.

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Reports on the topic "Metabolomic analyses"

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Aharoni, Asaph, Zhangjun Fei, Efraim Lewinsohn, Arthur Schaffer, and Yaakov Tadmor. System Approach to Understanding the Metabolic Diversity in Melon. United States Department of Agriculture, 2013. http://dx.doi.org/10.32747/2013.7593400.bard.

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Fruit quality is determined by numerous genetic factors that affect taste, aroma, ‎color, texture, nutritional value and shelf life. To unravel the genetic components ‎involved in the metabolic pathways behind these traits, the major goal of the project was to identify novel genes that are involved in, or that regulate, these pathways using correlation analysis between genotype, metabolite and gene expression data. The original and specific research objectives were: (1) Collection of replicated fruit from a population of 96 RI lines derived from parents distinguished by great diversity in frui
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Arp, Daniel, and Luis Sayavedra-Soto. Metabolomic Functional Analysis of Bacterial Genomes: Final Report. Office of Scientific and Technical Information (OSTI), 2008. http://dx.doi.org/10.2172/951563.

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Grumet, R., J. Burger, Y. Tadmor, et al. Cucumis fruit surface biology: Genetic analysis of fruit exocarp features in melon (C. melo) and cucumber (C. sativus). United States-Israel Binational Agricultural Research and Development Fund, 2020. http://dx.doi.org/10.32747/2020.8134155.bard.

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The fruit surface (exocarp) is a unique tissue with multiple roles influencing fruit growth and development, disease susceptibility, crop yield, post-harvest treatments, shipping and storage quality, and food safety. Furthermore, highly visible exocarp traits are the consumer's first exposure to the fruit, serving to identify fruit type, variety, attractiveness, and market value. Cucurbit fruit, including the closely related Cucumis species, melon (C. melo) and cucumber (C. sativus), exhibit tremendous diversity for fruit surface properties that are not present in model species. In this projec
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Rabinowitz, Joshua D. Final Technical Report--Quantitative analysis of metabolic regulation by integration of metabolomics, proteomics, and fluxomics. Office of Scientific and Technical Information (OSTI), 2018. http://dx.doi.org/10.2172/1487155.

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Cytryn, Eddie, Mark R. Liles, and Omer Frenkel. Mining multidrug-resistant desert soil bacteria for biocontrol activity and biologically-active compounds. United States Department of Agriculture, 2014. http://dx.doi.org/10.32747/2014.7598174.bard.

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Control of agro-associated pathogens is becoming increasingly difficult due to increased resistance and mounting restrictions on chemical pesticides and antibiotics. Likewise, in veterinary and human environments, there is increasing resistance of pathogens to currently available antibiotics requiring discovery of novel antibiotic compounds. These drawbacks necessitate discovery and application of microorganisms that can be used as biocontrol agents (BCAs) and the isolation of novel biologically-active compounds. This highly-synergistic one year project implemented an innovative pipeline aimed
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Jendrek, Sebastian, Franziska Schmelter, Christian Sina, Ulrich Günther, and Gabriela Riemekasten. Diagnostic and prognostic value of serum/plasma metabolome analyses in Systemic sclerosis: A protocol for literature review. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2025. https://doi.org/10.37766/inplasy2025.5.0077.

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Lidstrom, Mary E., Ludmila Chistoserdova, Marina G. Kalyuzhnaya, Victoria J. Orphan, and David A. Beck. Systems level insights into alternate methane cycling modes in a freshwater lake via community transcriptomics, metabolomics and nano-SIMS analysis. Office of Scientific and Technical Information (OSTI), 2014. http://dx.doi.org/10.2172/1149958.

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Mizrahi, Itzhak, and Bryan A. White. Exploring the role of the rumen microbiota in determining the feed efficiency of dairy cows. United States Department of Agriculture, 2011. http://dx.doi.org/10.32747/2011.7594403.bard.

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Expanding world hunger calls for increasing available food resources. Ruminants have the remarkable ability to convert human-indigestible plant biomass into human-digestible food products, due to a complex microbiome residing in the rumen compartment of their upper digestive tract. One way to tackle the problem of diminishing food resources is to increase the animals' energetic efficiency, i.e., the efficiency with which they convert energy from feed, thereby increasing food availability while lowering the environmental burden, as these animals would produce more and eat less. We hypothesize t
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Jander, Georg, and Daniel Chamovitz. Investigation of growth regulation by maize benzoxazinoid breakdown products. United States Department of Agriculture, 2015. http://dx.doi.org/10.32747/2015.7600031.bard.

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Introduction Previous research had suggested that benzoxazinoids, a class of defensive metabolites found in maize, wheat, rye, and wild barley, are not only direct insect deterrents, but also influence other areas of plant metabolism. In particular, the benzoxazinoid 2,4-dihydroxy-7-methoxy-2H-1,4-benzoxa- zin-3(4H)- one (DIMBOA) was implicated in: (i) altering plant growth by interfering with auxin signaling, and (ii) leading to the induction of gene expression changes and secondary plant defense responses. The overall goal of this proposal was to identify mechanisms by which benzoxazinoids i
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