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MetabolomicsUntargeted metabolomics links glutathione to bacterial cell cycle progression
Cell cycle progression requires the coordination of cell growth, chromosome replication, and division. Consequently, a functional cell cycle must be coupled with metabolism. However, direct measurements of metabolome dynamics remained scarce, in particular in bacteria. Here, we describe an untargete...
2020-10-15 | MTBLS1402 | MetaboLights
MetabolomicsPhysiological extremes of the human blood metabolome: A metabolomics analysis of highly glycolytic, oxidative, and anabolic athletes
Human metabolism is highly variable. At one end of the spectrum, defects of enzymes, transporters, and metabolic regulation result in metabolic diseases such as diabetes mellitus or inborn errors of metabolism. At the other end of the spectrum, favorable genetics and years of training combine to res...
2022-02-07 | MTBLS2104 | MetaboLights
UnknownMethodological approach for determining the Minimal Important Difference and Minimal Important Change scores for the European Organisation for Research and Treatment of Cancer Head and Neck Cancer Module (EORTC QLQ-HN43) exemplified by the Swallowing scale.
Not available
S-EPMC8921167 | biostudies-literature
MetabolomicsUntargeted extraction of metabolites 13C labeling profiles from time course labeling switch experiment
Dynamic isotope labeling data provide crucial information about the operation of metabolic pathways, and are commonly generated via liquid chromatography mass spectrometry (LC-MS). Metabolome-wide analysis is challenging as it requires grouping of metabolite features over different samples. We devel...
2015-10-19 | MTBLS228 | MetaboLights
MetabolomicsUntargeted extraction of metabolites 13C labeling profiles from time course labeling switch experiment
Dynamic isotope labeling data provide crucial information about the operation of metabolic pathways, and are commonly generated via liquid chromatography mass spectrometry (LC-MS). Metabolome-wide analysis is challenging as it requires grouping of metabolite features over different samples. We devel...
2015-10-19 | MTBLS229 | MetaboLights
MetabolomicsMTBLS12814: Characterizing Human Oxidative, Anabolic and Glycolytic Metabolism in Athletes with Extreme Physiologies

Background

Regular physical activity is known to benefit health but the long-term effects of specific exercise training on human metabolism remain incompletely described. In this study, we comprehensively characterized the blood metabolomes of male athletes with distinct exercise-adapted me...

2026-03-13 | MTBLS12814 | MetaboLights
TranscriptomicsGRHL1 acts as a tumor suppressor in neuroblastoma and is negatively regulated by MYCN and HDAC3
Neuroblastoma is an embryonic solid tumor of neural crest origin and accounts for 11% of all cancer-related deaths in children. Novel therapeutic strategies are therefore urgently required. MYCN oncogene amplification, which occurs in 20% of neuroblastomas, is a hallmark of high risk. Here we aimed ...
ORGANISM(S): Homo sapiens 
2014-05-22 | E-GEOD-47407 | biostudies-arrayexpress
UnknownA comprehensive immunohistochemical analysis of IMP2 and IMP3 in 542 cases of ovarian tumors.
Not available
S-EPMC9901072 | biostudies-literature
Genomicsena-DATASET-DKFZ-03-08-2020-18:14:14:560-2122 - samples
To investigate the immune response and mechanisms associated with severe COVID-19, we performed single-cell RNA-seq on nasopharyngeal and bronchial samples from 19 clinically well-characterized patients with moderate or critical disease and from 5 healthy controls. We identified airway epithelial ce...
EGAD00001006339 | EGA
2019 novel coronavirus infection 2019-nCoV infection coronavirus disease 2019 COVID-19 SARS-coronavirus 2 SARS-CoV-2 severe acute respiratory syndrome coronavirus 2 
GenomicsSingle-cell analysis of airway samples identifies immune cell activation correlating with COVID-19 disease severity
To investigate the immune response and mechanisms associated with severe COVID-19, we performed single-cell RNA-seq on nasopharyngeal and bronchial samples from 19 clinically well-characterized patients with moderate or critical disease and from 5 healthy controls. We identified airway epithelial ce...
EGAS00001004481 | EGA
2019 novel coronavirus infection 2019-nCoV infection coronavirus disease 2019 COVID-19 SARS-coronavirus 2 SARS-CoV-2 severe acute respiratory syndrome coronavirus 2 
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