<HashMap><database>biostudies-arrayexpress</database><scores/><additional><omics_type>Metabolomics</omics_type><omics_type>Unknown</omics_type><omics_type>Transcriptomics</omics_type><omics_type>Genomics</omics_type><omics_type>Proteomics</omics_type><submitter>Zia Khan</submitter><study_type>transcription profiling by array</study_type><organism>Mus musculus</organism><species>Mus musculus</species><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/E-MTAB-15951</full_dataset_link><description>This dataset comprises a bulk transcriptomic profile of bone marrow flush from tibia of C57BL/6N mice.  Differential gene expression analysis was performed comparing old (67-71-week-old; n = 3 males and 3 females) versus young (8-week-old; n = 3 males and 3 females) mice.  Data was generated separately for males and females to identify sex-specific transcriptional shifts.</description><repository>biostudies-arrayexpress</repository><sample_protocol>Nucleic Acid Extraction - For total RNA isolation, the flush samples were centrifuged at 300 xg to pellet the cells.  Cells were then suspended in RLT cell lysis buffer (RNeasy Plus Mini Kit; Qiagen).  Total RNA was prepared using measured using RNeasy Plus Mini Kit (Qiagen).  Concentration of RNA was measured by Qubit RNA Broad Range Assay (Thermo Fisher) in a Qubit Fluorometer (Thermo Fisher).</sample_protocol><sample_protocol>Labeling - Samples were first tested for RNA integrity using Agilent 2100 Bioanalyzer.  Samples were then were subjected to Clariom S Assay (Thermo Fisher, Catalogue# 902931) on a GCS3000 instrument.</sample_protocol><sample_protocol>Scaning - Scanning was performed at the Genetic and Molecular Epidemiology Laboratory, David Braley Research Institute (Hamilton, ON, Canada).</sample_protocol><sample_protocol>Sample Collection - We obtained male and female C57BL/6N mice from Charles River Canada to establish different age cohorts, including 8-weeks-old and 67-71-weeks-old.  Following euthanasia, the epiphyses of the tibiae were removed.  Bone tissues were placed in a 0.5 mL centrifuge tube, which had a hole pierced in the bottom with an 18G needle.  The 0.5 mL centrifuge tubes were then nested in 1.5 mL centrifuge tubes.  Tubes were then centrifuged at 10,000 xg for 15 seconds to flush the bone marrow.  Samples were stored in a cell freezing media solution (90% fetal bovine serum and 10% dimethyl sulfoxide) until further analysis.</sample_protocol><sample_protocol>Hybridization - GeneChip assay was performed at the Genetic and Molecular Epidemiology Laboratory, David Braley Research Institute (Hamilton, ON, Canada)</sample_protocol><figure_sub>MIAME Score</figure_sub><figure_sub>Raw Data</figure_sub><figure_sub>Organization</figure_sub><figure_sub>Assays and Data</figure_sub><figure_sub>Processed Data</figure_sub><figure_sub>MAGE-TAB Files</figure_sub><figure_sub>Array Designs</figure_sub><pubmed_authors>Urooj Syed</pubmed_authors><pubmed_authors>Christopher Howlett</pubmed_authors><pubmed_authors>Mackenzie Hsu</pubmed_authors><pubmed_authors>Zia Khan</pubmed_authors><data_protocol>Data Transformation - Quality control, normalization and differential gene expression analysis were conducted using the default RMA workflow.  Genes with an absolute fold change ≥1.5 and adjusted p-value &lt;0.05 (Benjamini-Hochberg FDR) were considered significantly differentially expressed.</data_protocol></additional><is_claimable>false</is_claimable><name>Age-related vascular remodeling in bone marrow</name><description>This dataset comprises a bulk transcriptomic profile of bone marrow flush from tibia of C57BL/6N mice.  Differential gene expression analysis was performed comparing old (67-71-week-old; n = 3 males and 3 females) versus young (8-week-old; n = 3 males and 3 females) mice.  Data was generated separately for males and females to identify sex-specific transcriptional shifts.</description><dates><release>2025-11-23T00:00:00Z</release><modification>2026-05-27T16:50:22.263Z</modification><creation>2025-11-01T16:21:33.403Z</creation></dates><accession>E-MTAB-15951</accession><cross_references><EFO>EFO_0002768</EFO><EFO>EFO_0002944</EFO><EFO>EFO_0003814</EFO><EFO>EFO_0003813</EFO><EFO>EFO_0005518</EFO><EFO>EFO_0003816</EFO><EFO>EFO_0003815</EFO></cross_references></HashMap>