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MetabolomicsLC-MS groundwater analysis 'Hainich Critical Zone exploratory', dataset extension (MS1)

Understanding biogeochemical conversions of dissolved organic matter (DOM) in aquifers is paramount for the effective management of groundwater supplies. On its passage through the critical zone, DOM is subject to biogeochemical conversions and therefore carries cross-habitat information useful f...

2024-10-17 | MTBLS11375 | MetaboLights
MetabolomicsAndrogens drive SLC1A5-dependent metabolic reprogramming in polycystic ovary syndrome-LC-MS analysis of granulosa cells

Polycystic ovary syndrome (PCOS) is the primary cause of female infertility. Growing evidence suggests that dysregulation of amino acid metabolism plays a significant role in the onset and progression of PCOS. However, the underlying mechanism remains unclear. In this study, we conducted targeted...

2025-04-14 | MTBLS12367 | MetaboLights
MetabolomicsUnbiased LC-MS-based metabolomics analysis for both whole cell and mitochondria metabolites to gain an insight into the role of Tug1/PGC1 axis on metabolite profiles in podocytes
Not available
ORGANISM(S): Mus musculus 
ST001850 | MetabolomicsWorkbench
ProteomicsA Rapid and Sensitive Single-cell Proteomic Method Based on Fast LC Separation, Deep-learning RT Prediction and MS1-only Acquisition
We report an integrate strategy that combines fast liquid chromatography (LC) separation, deep learning-based retention time (RT) prediction and MS1-only acquisition for sensitive and rapid single-cell proteome analysis. Finally, SCP-MS1 was applied to sorafenib resistant HepG2 cells.
ORGANISM(S): Homo Sapiens 
2022-08-26 | PXD036211 |
ProteomicsHowDirty: An R package to evaluate molecular contaminants in LC-MS experiments
Contaminants derived from consumables, reagents, and sample handling often negatively affect LC-MS data acquisition. In proteomics experiments, they can markedly reduce identification performance, reproducibility, and quantitative robustness. Here, we introduce a data analysis workflow combining MS1...
ORGANISM(S): Homo Sapiens (human) 
2023-10-12 | PXD044032 | JPOST Repository
ProteomicsMulti-parameter optimization of two common proteomics quantification methods for quantifying low-abundance proteins
To improve the sensitivity and accuracy of label-free quantification and tandem mass tags (TMT) labeling in quantifying low-abundance proteins, multi-parameter optimization was carried out using a complex 2-proteome artificial sample mixture for a series of steps from sample preparation to data anal...
ORGANISM(S): Homo Sapiens Mus Musculus 
2018-11-02 | PXD011574 |
UnknownXFlow: An algorithm for extracting ion chromatograms.
Not available
S-EPMC7580946 | biostudies-literature
UnknownMetaProClust-MS1: an MS1 Profiling Approach for Large-Scale Microbiome Screening.
Not available
S-EPMC9426440 | biostudies-literature
UnknownA simple peak detection and label-free quantitation algorithm for chromatography-mass spectrometry.
Not available
S-EPMC4252003 | biostudies-literature
UnknownEnhanced efficiency of MS/MS all-ion fragmentation for non-targeted analysis of trace contaminants in surface water using multivariate curve resolution and data fusion.
Not available
S-EPMC10850027 | biostudies-literature
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