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MetabolomicsEnergy-stress-mediated AMPK activation inhibits ferroptosis

Energy stress depletes ATP and induces cell death. Here we identify an unexpected inhibitory role of energy stress on ferroptosis, a form of regulated cell death induced by iron-dependent lipid peroxidation. We found that ferroptotic cell death and lipid peroxidation can be inhibited by treatment...

2023-01-31 | MTBLS1399 | MetaboLights
MetabolomicsA Pilot Characterization of the Human Chronobiome
Physiological function, disease expression and drug effects vary by time-of-day. Clock disruption in mice results in cardio-metabolic, immunological and neurological dysfunction; circadian misalignment using forced desynchrony increases cardiovascular risk factors in humans. Here we integrated data ...
2018-05-16 | MTBLS656 | MetaboLights
TranscriptomicsIVT-seq reveals extreme bias in RNA-sequencing
Background RNA sequencing (RNA-seq) is a powerful technique for identifying and quantifying transcription and splicing events, both known and novel. However, given its recent development and the proliferation of library construction methods, understanding the bias it introduces is incomplete but cri...
ORGANISM(S): Homo sapiens 
2014-05-21 | E-GEOD-50445 | biostudies-arrayexpress
UnknownHigher dose corticosteroids in hospitalised COVID-19 patients requiring ventilatory support (RECOVERY): a randomised, controlled, open-label, platform trial.
Not available
S-EPMC11872607 | biostudies-literature
GenomicsGoT2D: Genetics of Type 2 Diabetes, a study of the the genetic architecture of type 2 diabetes using low pass whole genome sequencing and high density SNP genotyping in 2,657 individuals.
The Genetics of Type 2 Diabetes Consortium (GoT2D) is a collaboration between the University of Michigan, the Broad Institute and the Wellcome Trust Centre for Human Genetics. The overall aim is to extend upon recent efforts, such as genome-wide association studies (GWAS) and large scale meta-analys...
EGAS00001001459 | EGA
Genomicsena-DATASET-GoT2D/T2D-GENES-09-07-2016-02:03:47:226-1135 - samples
The GoT2D study includes ~2800 samples, half T2D cases and half T2D controls, of Northern European ancestry sequenced over 3 three technologies: deep whole exome sequencing, low-pass (4x) whole genome sequencing, and OMNI 2.5M genotyping. Samples were ascertained to be phenotypically "extreme" (e.g....
EGAD00001002247 | EGA
GenomicsImputation analysis file
This data set includes the following summary level data file used for the imputation data: imputation.sv.assoc.txt: results from single variant association analysis in imputed samples
EGAD00010001184 | EGA
Genomics13K T2D-GENES analysis files
This data set includes the following summary level data files used for the 13k analysis of T2D-GENES data: wes.variants.list: list of variants to keep for any analysis of the exomes data wes.assoc.samples.list: list of samples to keep for association analysis wes.assoc.variants.list: list of variant...
EGAD00010001188 | EGA
GenomicsGoT2D WGS analysis files
This data set includes the following summary level data files used for the GoT2D WGS analysis: wgs.assoc.samples.list: list of samples to keep for association analysis wgs.assoc.variants.list: list of variants to keep for association analysis wgs.sv.assoc.txt: single variant association results
EGAD00010001185 | EGA
GenomicsExome chip analysis file
This data set includes the following summary level data file used for the exome chip analysis: exome_chip.sv.assoc.txt: results from single variant association analysis in exome chip
EGAD00010001187 | EGA
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