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

PRJNA392305: Single Cell RNA sequencing analysis of human haemopoietic lympho-myeloid progenitor populations (LMPP, MLP and GMP)

Source: NCBI / GSE100618
Submission Date: Jun 28 2017
Release Date: Nov 11 2017
Update Date: May 15 2019

Summary: We performed single cell RNA sequencing of human haemopoietic lympho-myeloid progenitors with the aim to separate functionally and transcriptionally distinct progenitors within the heterogeneous GMP, LMPP and MLP populations. We performed RNA sequencing in a total of 415 single cells. From donors 1 (CB369) and 2 (CB431), 163/166 and 157/249 cells passed quality control.We further analysed the 320 single cells that passed quality control from two different donors (157 and 163 from each donor; 91 LMPP, 110 MLP and 119 GMP). We performed clustering using Seurat package, which identified 3 clusters of cells. We identified genes that were differentially expressed among cells of the different clusters. The majority of the cells in cluster 1 were MLP, the majority of cluster 3 were GMP while cluster comprised of LMPP and GMP cells. Cluster 1 showed high expression of lymphoid-affiliated genes. Conversely, cluster 3 showed increased expression of myeloid genes, while cluster 2 showed a mixed transcriptional signature. PCA analysis revealed a transcriptional continuum of LMPP, MLP and GMP populations.

Overall Design: Transcriptional heterogeneity of LMPP, MLP and GMP human lymphomyeloid progenitors at the single cell level.

GEN Datasets:
GEND000042
Strategy:
Species:
Tissue:
Healthy Condition:
Cell Type:
Development Stage:
Protocol
Growth Protocol: Fresh cord blood from normal donors were obtained with informed consent. They were processed within 16-34h after collection. Mononuclear cells were isolated and CD34+ fraction was separated as described{Quek et al, JouRNAl of Experimental Medicine 2016}.
Treatment Protocol: Fresh Cord Blood cells were obtained and processed with ficoll to obtain mononuclear cells. CD34+ cells were purified using CD34 Microbead Kit and MACS separation columns
Extract Protocol: Single cells were deposited in individual wells of 96 well plates, directly lysed according to the SmartSeq2 protocol and stored at -80C. No extraction protocol was performed
Library Construction Protocol: Single cell libraries for RNAseq were prepared using SmartSeq2 protocol (Picelli et al., -ture Protocols 2014) and the Illumina Nextera XT Index Kit (96 indexes, 384 samples, FC-131-1002) for cDNA tagmentation and indexing. ERCC RNA Spike-In Mix (Ambion, 4456740) are included.
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
Single-cell RNA-seq highlights intratumoral heterogeneity in primary glioblastoma.
Science (New York, N.Y.) . 2014-06-12 [PMID: 24925914]