Gene Expression Nebulas
A data portal of transcriptomic profiles analyzed by a unified pipeline across multiple species

Gene Expression Nebulas

A data portal of transcriptome profiles across multiple species

PRJNA474670: Cell-specific proteome analyses of human bone marrow reveal molecular features of age-dependent functional decline [cell populations]

Source: NCBI / GSE115348
Submission Date: Jun 05 2018
Release Date: Jul 19 2018
Update Date: Jul 19 2019

Summary: Diminishing potential to replace damaged tissues is a hallmark for ageing of somatic stem cells, but the mechanisms leading to ageing remain elusive. We present a proteome-wide atlas of age-associated alterations in human haematopoietic stem and progenitor cells (HPCs) along with five other cell types that constitute the bone marrow niche. For each, the abundance of a large fraction of the ~12,000 proteins identified was assessed in a cohort of healthy human subjects from different age. As the HPCs became older, pathways in central carbon metabolism exhibited features reminiscent of the Warburg effect where glycolytic intermediates are rerouted towards anabolism. Simultaneously, altered abundance of early regulators of HPC differentiation revealed a reduced functionality and a bias towards myeloid differentiation at the expense of lymphoid development. Ageing caused significant alterations in the bone marrow niche too, such as functionality of the pathways involved in HPC homing and lineage differentiation. The data represents a valuable resource for further in-depth mechanistic analyses, and for validation of knowledge gained from animal models.

Overall Design: RNA-seq samples extracted from human bone marrow, from 6 cell populations (HPC, LYM, MON, ERP, GRA, MSC). Technical replicates are included for each donor and cell type. Technical replicates were produced by making independent libraries from the same RNA.

GEN Datasets:
GEND000034
Strategy:
Species:
Tissue:
Healthy Condition:
Cell Type:
Protocol
Growth Protocol: Bone marrow (BM) samples were harvested through puncture at the posterior iliac crest using a Yamshidi needle
Treatment Protocol: BM aspirates were processed by FICOLL density fractionation for isolation of MNCs; stained with CD34-APC, CD45-FITC and CD14-PE; FACS-sorted and stored at -80℃
Extract Protocol: RNA was extracted with trizol (Invitrogen) using a linear acrylamide carrier. RNA was then treated with DNase I (Life technologies) and purified using Agencourt RNAClean XP beads (Beckman Coulter). RNA quality and concentration were assessed by using an RNA 6000 bioanalyzer pico kit (Agilent). Samples with concentrations less than 30 pg/μl and/or an RNA integrity number (RIN) less than 6 were excluded from further analysis.
Library Construction Protocol: A cDNA library was produced using the Smart-Seq 2 protocol. Sequencing was performed on an Illumina HiSeq4000 with 75 bp paired-end reads with the aim to achieve coverage of 25 million reads per sample.
Sequencing
Molecule Type: poly(A)+ RNA
Library Source:
Library Layout: PAIRED
Library Strand: -
Platform: ILLUMINA
Instrument Model: Illumina HiSeq 4000 
Strand-Specific: Unspecific
Samples
Basic Information:
Sample Characteristic:
Biological Condition:
Experimental Variables:
Protocol:
Sequencing:
Assessing Quality:
Analysis:
Data Resource GEN Sample ID GEN Dataset ID Project ID BioProject ID Sample ID Sample Name BioSample ID Sample Accession Experiment Accession Release Date Submission Date Update Date Species Race Ethnicity Age Age Unit Gender Source Name Tissue Cell Type Cell Subtype Cell Line Disease Disease State Development Stage Mutation Phenotype Case Detail Control Detail Growth Protocol Treatment Protocol Extract Protocol Library Construction Protocol Molecule Type Library Layout Strand-Specific Library Strand Spike-In Strategy Platform Instrument Model Cell Number Reads Number Gbases AvgSpotLen1 AvgSpotLen2 Uniq Mapping Rate Multiple Mapping Rate Coverage Rate
Publications
Cell-specific proteome analyses of human bone marrow reveal molecular features of age-dependent functional decline.
Nature communications . 2018-10-01 [PMID: 30275468]
Glycogen accumulation, central carbon metabolism, and aging of hematopoietic stem and progenitor cells.
Scientific reports . 2020-07-14 [PMID: 32665666]