Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

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Molecular signatures of heterogeneous stem cell populations are resolved by linking single cell functional assays to single cell gene expression

ABSTRACT: The discovery of significant heterogeneity in the self-renewal durability of adult haematopoietic stem cells (HSCs) has challenged our understanding of the molecules involved in population maintenance throughout life. Gene expression studies in bulk populations are difficult to interpret since multiple HSC subtypes are present and HSC purity is typically less than 50% of the input cell population. Numerous groups have therefore turned to studying gene expression profiles of single HSCs, but again these studies are limited by the purity of the input fraction and an inability to directly ascribe a molecular program to a durable self-renewing HSC. Here we combine single cell functional assays with flow cytometric index sorting and single cell gene expression assays to gain the first insight into the gene expression program of HSCs that possess durable self-renewal. This approach can be used in other stem cell systems and sets the stage for linking key molecules with defined cellular functions. single-cell RNA-Seq of haematopoietic stem cells

ORGANISM(S): Mus musculus

SUBMITTER: Evangelia Diamanti

PROVIDER: E-GEOD-61533 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Combined Single-Cell Functional and Gene Expression Analysis Resolves Heterogeneity within Stem Cell Populations.

Wilson Nicola K NK Kent David G DG Buettner Florian F Shehata Mona M Macaulay Iain C IC Calero-Nieto Fernando J FJ Sánchez Castillo Manuel M Oedekoven Caroline A CA Diamanti Evangelia E Schulte Reiner R Ponting Chris P CP Voet Thierry T Caldas Carlos C Stingl John J Green Anthony R AR Theis Fabian J FJ Göttgens Berthold B

Cell stem cell 20150521 6

Heterogeneity within the self-renewal durability of adult hematopoietic stem cells (HSCs) challenges our understanding of the molecular framework underlying HSC function. Gene expression studies have been hampered by the presence of multiple HSC subtypes and contaminating non-HSCs in bulk HSC populations. To gain deeper insight into the gene expression program of murine HSCs, we combined single-cell functional assays with flow cytometric index sorting and single-cell gene expression assays. Thro ...[more]

PMID: 26004780

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Project description:Haematopoietic stem cells (HSCs) are derived early from embryonic precursor cells, such as haemogenic endothelial cells and pre-HSCs. However, the identity of precursor cells remains elusive due to their rareness, transience, and inability to be isolated efficiently. Here we employed potent surface markers to capture the nascent pre-HSCs at 30% purity, as rigorously validated by single-cell-initiated serial transplantation assay. Then we applied single-cell RNA-Seq technique to analyse five populations closely related to HSC formation: endothelial cells, CD45- and CD45+ pre-HSCs in E11 aorta-gonad-mesonephros (AGM) region, and mature HSCs in E12 and E14 foetal liver. In comparison, the pre-HSCs showed unique features in transcriptional machinery, apoptosis, metabolism state, signalling pathway, transcription factor network, and lncRNA expression pattern. Among signalling pathways enriched in pre-HSCs, the mTOR activation was uncovered indispensable for the emergence of HSCs but not haematopoietic progenitors from endothelial cells in vivo. By comparing with proximal populations without HSC potential, the core molecular signature of pre-HSCs was identified. Collectively, our work paves the way for dissection of complex molecular mechanisms regulating the step-wise generation of HSCs in vivo, informing future efforts to engineer HSCs for clinical application. RNA-Seq of 181 single-cell samples from 8 FACS sorted cell types: 1. endothelial cells (samples E11.0_EC_xxxx. CD31+ VE-cadherin+CD41-CD43-CD45-Ter119-); 2. T1 pre-HSCs (samples E11.0_T1_xxxx. CD31+CD45-CD41low c-Kit+CD201high); 3. T1 CD201- cells (samples E11.0_T1CD201neg_xxxx, CD31+CD45-CD41low c-Kit+CD201low/-) ; 4. T2 pre-HSCs (samples E11.0_T2_35xx. CD31+CD45+c-Kit+CD201high), 5. T2 CD41low (samples E11.0_T2_21xx, E11.0_T2_24xx and E11.0_T2_27xx. CD31+CD45+CD41low); 6. E12 HSCs (samples E12.5_FL_xxxx. Lin-Sca-1+Mac-1lowCD201+); 7. E14 HSCs (samples E14.5_FL_xxxx. CD45+CD150+CD48-CD201+); 8. Adult HSCs (samples Adult_HSC_xxxx. CD45+CD150+CD48-CD201+). ECs, T1 pre-HSCs, T1 CD201- cells, T2 pre-HSCs, T2 CD41low cells were sorted from E11 AGM region. Mature HSCs were sorted from E12 or E14 fetal liver and adult bonemarrow.

Dataset Information

Molecular signatures of heterogeneous stem cell populations are resolved by linking single cell functional assays to single cell gene expression

Publications

Combined Single-Cell Functional and Gene Expression Analysis Resolves Heterogeneity within Stem Cell Populations.

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