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

PRJNA473344: Cell-specific proteome analyses of human bone marrow reveal molecular features of age-dependent functional decline [single cells]

Source: NCBI / GSE114961
Submission Date: May 28 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: Examination of myeloid- and lymphoid-primed sub-populations of HPCs across young and old donors

GEN Datasets:
GEND000049
Strategy:
Species:
Tissue:
Healthy Condition:
Development Stage:
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 -80C
Extract Protocol: Sequencing libraries from 192 single CD34+ cells per donor were produced based on the smart-seq2 protocol of Picelli et al. 2014 and the tagmentation procedure of Henning et al. 2018 with slight modifications as described in the publication.
Library Construction Protocol: -
Sequencing
Molecule Type: rRNA- RNA
Library Source:
Library Layout: SINGLE
Library Strand: -; Reverse; Forward
Platform: ILLUMINA
Instrument Model: Illumina NextSeq 500
Strand-Specific: Unspecific; Specific
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]