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FEATURES OF HEMATOPOIETIC STEM AND PROGENITOR CELLS IDENTIFIED THROUGH SINGLE-CELL RNA SEQUENCING IN IMMUNE THROMBOCYTOPENIA
Author(s): ,
Yan Liu
Affiliations:
Department Of Hematology, Qilu Hospital Of Shandong University,Jinan,China;Shandong University,Jinan,China
,
Anli Liu
Affiliations:
Department Of Hematology, Qilu Hospital Of Shandong University,Jinan,China;Shandong University,Jinan,China
Jun Peng
Affiliations:
Department Of Hematology, Qilu Hospital Of Shandong University,Jinan,China;Shandong University,Jinan,China
EHA Library. Liu Y. 06/09/21; 324705; S297
Dr. Yan Liu
Dr. Yan Liu
Contributions
Abstract
Presentation during EHA2021: All Oral presentations will be made available as of Friday, June 11, 2021 (09:00 CEST) and will be accessible for on-demand viewing until August 15, 2021 on the Virtual Congress platform.

Abstract: S297

Type: Oral Presentation

Session title: ITP: from bench to bedside

Background

Primary immune thrombocytopenia (ITP) is an acquired autoimmune disease characterized by isolated thrombocytopenia. A growing body of emerging evidence indicates that abnormalities during any stage of thrombopoiesis and megakaryocytopoiesis can influence platelet production. 

Aims

Our study concentrated on the hematopoietic stem and progenitor cells (HSPCs) in ITP patients from the perspective of single cell transcriptome.

Methods

CD34+ HSPCs were isolated from BM of four newly diagnosed ITP patients and four healthy adults as controls by fluorescence-activated cell sorter (FACS), and Single-cell RNA sequencing (scRNA-seq) data was collected using the recommended protocol for the 3’ scRNA-seq 10X genomics platform. 

Results

We perform scRNA-seq for 69,178 single CD34+ HSPCs, and detected over 3000 expressed genes per cell on average. Uniform manifold approximation and projection (UMAP), a method for nonlinear dimensionality reduction, showed a visualized image of the cells (Fig1. A). Heatmap showed the scaled expression of top 10 differentially expressed genes in each cluster (Fig1. B). Cell clusters expressed established markers of hematopoietic populations, revealed diverse hematopoietic cell types and implied differentiation trajectories consistent with current views of hematopoiesis. We identified an unambiguous feature of HSPCs in ITP patients with the down-regulation of HES1 and CD9 (Fig1. C). And the results were verified by flow cytometry (Fig1. D). Furthermore, through cell culture, we found that lin-CD45ra-CD34+CD9+ cells produced fewer mature megakaryocytes in ITP patients than healthy controls. Our study suggested that HES1 and CD9 were involved in the pathogenesis of ITP.

Conclusion

Using scRNA-seq, we revealed a hierarchically-structured transcriptional landscape of hematopoietic differentiation of BM CD34+ HSPCs. We observed a significantly descreased expression of HES1 and CD9 in newly diagnosed ITP patients, which might relate with the generation of abnormal MKs and be a biomarker potentially using in diagnosis.

Keyword(s): Hematopoietic stem and progenitor cells, ITP

Presentation during EHA2021: All Oral presentations will be made available as of Friday, June 11, 2021 (09:00 CEST) and will be accessible for on-demand viewing until August 15, 2021 on the Virtual Congress platform.

Abstract: S297

Type: Oral Presentation

Session title: ITP: from bench to bedside

Background

Primary immune thrombocytopenia (ITP) is an acquired autoimmune disease characterized by isolated thrombocytopenia. A growing body of emerging evidence indicates that abnormalities during any stage of thrombopoiesis and megakaryocytopoiesis can influence platelet production. 

Aims

Our study concentrated on the hematopoietic stem and progenitor cells (HSPCs) in ITP patients from the perspective of single cell transcriptome.

Methods

CD34+ HSPCs were isolated from BM of four newly diagnosed ITP patients and four healthy adults as controls by fluorescence-activated cell sorter (FACS), and Single-cell RNA sequencing (scRNA-seq) data was collected using the recommended protocol for the 3’ scRNA-seq 10X genomics platform. 

Results

We perform scRNA-seq for 69,178 single CD34+ HSPCs, and detected over 3000 expressed genes per cell on average. Uniform manifold approximation and projection (UMAP), a method for nonlinear dimensionality reduction, showed a visualized image of the cells (Fig1. A). Heatmap showed the scaled expression of top 10 differentially expressed genes in each cluster (Fig1. B). Cell clusters expressed established markers of hematopoietic populations, revealed diverse hematopoietic cell types and implied differentiation trajectories consistent with current views of hematopoiesis. We identified an unambiguous feature of HSPCs in ITP patients with the down-regulation of HES1 and CD9 (Fig1. C). And the results were verified by flow cytometry (Fig1. D). Furthermore, through cell culture, we found that lin-CD45ra-CD34+CD9+ cells produced fewer mature megakaryocytes in ITP patients than healthy controls. Our study suggested that HES1 and CD9 were involved in the pathogenesis of ITP.

Conclusion

Using scRNA-seq, we revealed a hierarchically-structured transcriptional landscape of hematopoietic differentiation of BM CD34+ HSPCs. We observed a significantly descreased expression of HES1 and CD9 in newly diagnosed ITP patients, which might relate with the generation of abnormal MKs and be a biomarker potentially using in diagnosis.

Keyword(s): Hematopoietic stem and progenitor cells, ITP

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