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Series GSE109546 Query DataSets for GSE109546
Status Public on May 01, 2018
Title Loss of adrenergic nerves in bone marrow drives hematopoietic stem cell niche aging
Organism Mus musculus
Experiment type Expression profiling by high throughput sequencing
Summary Aging of hematopoietic stem cells (HSCs) is associated with the decline of their regenerative capacity, and multi-lineage differentiation potential, contributing to development of blood disorders. The bone marrow microenvironment was recently suggested to influence HSC aging, however the underlying mechanisms remain largely unknown. Here, we show that HSC aging critically depends on bone marrow innervation by the sympathetic nervous system (SNS), as premature loss of SNS nerves or adrenoreceptor b3 (ADRb3) signaling in the microenvironment accelerated the appearance of HSC aging phenotypes reminiscent of physiological aging. Strikingly, supplementation of ADRb3 sympathomimetics to old mice significantly rejuvenated in vivo function of old HSCs, suggesting that the preservation or restitution of SNS innervation during aging may hold the potential for novel HSC rejuvenation strategies.
 
Overall design mRNA profiles of sorted bone marrow hematopoietic stem cells were generated from saline treated young and old and BRL37344 treated old mice in triplicates by Illumina NextSeq500 sequencing
 
Contributor(s) Frenette P, Wei Q
Citation(s) 29736022
Submission date Jan 24, 2018
Last update date Mar 25, 2019
Contact name Paul Frenette
Organization name Albert Einstein College of Medicine
Department Ruth L. and David S. Gottesman Institute for Stem Cell and Regenerative Medicine Research
Street address 1301 Morris Park Avenue , Room 101
City Bronx
State/province NY
ZIP/Postal code 10461
Country USA
 
Platforms (1)
GPL19057 Illumina NextSeq 500 (Mus musculus)
Samples (9)
GSM2946105 HSC saline treated young rep1
GSM2946106 HSC saline treated young rep2
GSM2946107 HSC saline treated young rep3
Relations
BioProject PRJNA431366
SRA SRP131360

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Supplementary file Size Download File type/resource
GSE109546_HSC_Partek_Maria-aging_individual_counts.xlsx 3.6 Mb (ftp)(http) XLSX
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Raw data are available in SRA
Processed data are available on Series record

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