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Series GSE204740 Query DataSets for GSE204740
Status Public on May 29, 2022
Title Global Stable-isotope Tracing Metabolomics Reveals System-wide Metabolic Alternations in Aging Drosophila
Organism Drosophila melanogaster
Experiment type Expression profiling by high throughput sequencing
Summary System-wide metabolic homeostasis is crucial for maintaining physiological functions of living organisms. Stable-isotope tracing metabolomics allows to unravel metabolic activity quantitatively by measuring the isotopically labeled metabolites, but has been largely restricted by coverage. Yet, delineating system-wide metabolic homeostasis at the whole-organism level remains non-trivial. Here, we develop a global isotope tracing metabolomics technology to measure labeled metabolites with a metabolome-wide coverage. Using Drosophila as an aging model organism, we probe the in vivo tracing kinetics with quantitative information on labeling patterns, extents and rates on a metabolome-wide scale. We curate a system-wide metabolic network to characterize metabolic homeostasis and disclose a system-wide loss of metabolic coordinations that impacts both intra- and inter-tissue metabolic homeostasis significantly during Drosophila aging. Importantly, we reveal an unappreciated metabolic diversion from glycolysis to serine metabolism and purine metabolism as Drosophila aging. The developed technology facilitates a system-level understanding of metabolic regulation in living organisms.
 
Overall design mRNA-seq of total RNAs from 3d and 30d flies, in triplicates, using Illumina Miseq.
 
Contributor(s) Wang R, Li J, Liu N, Zhu Z
Citation(s) 35725845
Submission date May 24, 2022
Last update date Jun 30, 2022
Contact name Ruohong Wang
E-mail(s) ruohongw3@gmail.com
Phone 15021841935
Organization name Chinese Academy of Sciences
Department IRCBC
Street address 100 Haike Road, 13th building
City Shanghai
State/province Not in US
ZIP/Postal code 200032
Country China
 
Platforms (1)
GPL16479 Illumina MiSeq (Drosophila melanogaster)
Samples (6)
GSM6190439 3D-1_S1_L001_R1_001
GSM6190440 3D-2_S2_L001_R1_001
GSM6190441 3D-3_S3_L001_R1_001
Relations
BioProject PRJNA842066

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE204740_Counts_Head.csv.gz 148.8 Kb (ftp)(http) CSV
SRA Run SelectorHelp
Raw data are available in SRA
Processed data are available on Series record

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