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Series GSE129993 Query DataSets for GSE129993
Status Public on Sep 17, 2020
Title Metabolite Patterns in Human Myeloid Hematopoiesis Result from Lineage-Dependent Active Metabolic Pathways
Organism Homo sapiens
Experiment type Expression profiling by high throughput sequencing
Summary Assessment of hematotoxicity from environmental or xenobiotic compounds is of notable interest and is frequently assessed via the colony forming unit (CFU) assay. Identification of the mode of action of single compounds is of further interest, as this often enables transfer of results across different tissues and compounds. Metabolomics displays one promising approach for such identification, nevertheless, suitability with current protocols is restricted. Here, we combined a hematopoietic stem and progenitor cell (HSPC) expansion approach with distinct lineage differentiations, resulting in formation of erythrocytes, dendritic cells and neutrophils. We examined the unique combination of pathway activity in glycolysis, glutaminolysis, polyamine synthesis, fatty acid oxidation and synthesis, as well as glycerophospholipid and sphingolipid metabolism. We further assessed their interconnections and essentialness for each lineage formation. By this, we provide further insights into active metabolic pathways during the differentiation of HSPC into different lineages, enabling profound understanding of possible metabolic changes in each lineage caused by exogenous compounds.
 
Overall design Expressional profiling during myeloid hematopoiesis, generated from one progenitor population, 4 samples analysed, one from progenitor population, one from each differentiated population
Web link https://0-www-mdpi-com.brum.beds.ac.uk/1422-0067/21/17/6092
 
Contributor(s) Kaiser L, Weinschrott H, Quint I, Blaess M, Csuk R, Jung M, Kohl M, Deigner H
Citation(s) 32847028
Submission date Apr 17, 2019
Last update date Sep 19, 2020
Contact name Lars Kaiser
E-mail(s) kal@hs-furtwangen.de
Organization name University Furtwangen
Department Medical and Life Sciences
Street address Jakob-Kienzle-Str. 17
City Villingen-Schwenningen
ZIP/Postal code 78054
Country Germany
 
Platforms (1)
GPL20301 Illumina HiSeq 4000 (Homo sapiens)
Samples (4)
GSM3729046 CD34_native_0h
GSM3729047 Ery_Diff_Neg_6d
GSM3729048 MKZ_Diff_Neg_12d
Relations
BioProject PRJNA533455
SRA SRP192914

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
GSE129993_RAW.tar 4.2 Mb (http)(custom) TAR (of TSV)
SRA Run SelectorHelp
Raw data are available in SRA
Processed data provided as supplementary file

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