Uncovering perturbations in human hematopoiesis associated with healthy aging and myeloid malignancies at single cell resolution
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ABSTRACT:
PROVIDER: PRJNA747709 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR15182317_1.fastq.gz | Fastqsanger.gz | |||
| SRR15182317_2.fastq.gz | Fastqsanger.gz | |||
| SRR15182318_1.fastq.gz | Fastqsanger.gz | |||
| SRR15182318_2.fastq.gz | Fastqsanger.gz | |||
| SRR15182319_1.fastq.gz | Fastqsanger.gz |
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Project description:Early hematopoiesis is a continuous process in which hematopoietic stem and progenitor cells (HSPCs) gradually differentiate and are primed toward specific lineages. Aging and myeloid malignant transformation are characterized by changes in the composition and regulation of HSPCs. In this study, we evaluated HSPCs obtained from young and elderly healthy donors using single-cell RNA sequencing to identify the transcriptional and regulatory perturbations associated with healthy aging at single cell resolution. We then applied this knowledge to identify specific changes associated with the development of myeloid malignancies. Based on the transcriptional profile obtained, we identified changes in the proportions of progenitor compartments during aging, and differences in their functionality, as evidenced by gene set enrichment analysis. Trajectory inference revealed that altered gene expression dynamics accompanied cell differentiation, which could explain age-associated aberrant hematopoiesis. Next, we focused on key regulators of transcription by constructing gene regulatory networks and detected regulons that were specifically active in elderly individuals. Using the previous findings as a reference, we analyzed scRNA-seq data obtained from patients with myelodysplastic syndrome and acute myeloid leukemia and detected an alteration of the expression dynamics of genes involved in erythroid differentiation and identified specific transcription factors deregulated in acute myeloid leukemia. We demonstrate that the combination of single cell technologies and computational tools enables the study of a variety of cellular mechanisms involved in early hematopoiesis and can be used to dissect perturbed differentiation trajectories associated with aging and malignant transformation. Furthermore, the identification of abnormal regulatory mechanisms associated with myeloid malignancies could be exploited for personalized therapeutic approaches in individual patients.
2021-09-23 | GSE180298 | GEO
Project description:Early hematopoiesis is a continuous process in which hematopoietic stem and progenitor cells (HSPCs) gradually differentiate toward specific lineages. Aging and myeloid malignant transformation are characterized by changes in the composition and regulation of HSPCs. In this study, we used single-cell RNA sequencing (scRNA-seq) to characterize an enriched population of human HSPCs obtained from young and elderly healthy individuals.Based on their transcriptional profile, we identified changes in the proportions of progenitor compartments during aging, and differences in their functionality, as evidenced by gene set enrichment analysis. Trajectory inference revealed that altered gene expression dynamics accompanied cell differentiation, which could explain aging-associated changes in hematopoiesis. Next, we focused on key regulators of transcription by constructing gene regulatory networks (GRNs) and detected regulons that were specifically active in elderly individuals. Using previous findings in healthy cells as a reference, we analyzed scRNA-seq data obtained from patients with myelodysplastic syndrome (MDS) and detected specific alterations of the expression dynamics of genes involved in erythroid differentiation in all patients with MDS such as TRIB2. In addition, the comparison between transcriptional programs and GRNs regulating normal HSPCs and MDS HSPCs allowed identification of regulons that were specifically active in MDS cases such as SMAD1, HOXA6, POU2F2, and RUNX1 suggesting a role of these transcription factors (TFs) in the pathogenesis of the disease.In summary, we demonstrate that the combination of single-cell technologies with computational analysis tools enable the study of a variety of cellular mechanisms involved in complex biological systems such as early hematopoiesis and can be used to dissect perturbed differentiation trajectories associated with perturbations such as aging and malignant transformation. Furthermore, the identification of abnormal regulatory mechanisms associated with myeloid malignancies could be exploited for personalized therapeutic approaches in individual patients.
| S-EPMC9904760 | biostudies-literature
Project description:Early Onset Malignancies Initiative
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Project description:Early Onset Malignancies Initiative
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Project description:Cellular immunotherapy has proven to be effective in the treatment of hematological cancers by donor lymphocyte infusion after allogeneic hematopoietic stem cell transplantation and more recently by targeted therapy with chimeric antigen or T-cell receptor-engineered T-cells. However, dependent on the tissue distribution of the antigens that are targeted, anti-tumor responses can be accompanied by undesired side effects. Therefore, detailed tissue distribution analysis is essential to estimate efficacy and toxicity of candidate targets for immunotherapy of hematological malignancies. In this study, we performed microarray gene expression analysis of hematological malignancies of different origins, healthy hematopoietic cells and various non-hematopoietic cell types from organs that are often targeted in detrimental immune responses after allogeneic stem cell transplantation leading to graft-versus-host disease. Non-hematopoietic cells were also cultured in the presence of IFN-γ to analyze gene expression under inflammatory circumstances. Gene expression was investigated by Illumina HT12.0 microarrays and quality control analysis was performed to confirm the cell-type origin and exclude contamination of non-hematopoietic cell samples with peripheral blood cells. Microarray data were validated by quantitative RT-PCR showing strong correlation between both platforms. Detailed gene expression profiles were generated for various minor histocompatibility antigens and B-cell surface antigens to illustrate the value of the microarray dataset to estimate efficacy and toxicity of candidate targets for immunotherapy. In conclusion, our microarray database provides a relevant platform to analyze and select candidate antigens with hematopoietic (lineage)-restricted expression as potential targets for immunotherapy of hematological cancers. Microarray gene expression analysis was performed on hematological malignancies of different origins and their healthy hematopoietic counterparts as well as on healthy non-hematopoietic cell types from organs that are often targeted in Graft-versus-Host Disease (166 samples in total). Various non-hematopoietic cell types were cultured in the presence of IFN-γ or T-cell culture supernatant to allow gene expression analysis under inflammatory conditions. Malignant and healthy hematopoietic cells were isolated by flow cytometry based on expression of specific surface markers and healthy non-hematopoietic cell types were isolated or cultured from tissue biopsies or surgically removed specimen. Various non-hematopoietic cell types were in vitro cultured for 4 days in the presence of IFN-γ or T-cell culture supernatant to mimic inflammation. The dataset allows comparison of gene expression between hematological malignancies and healthy non-hematopoietic cell types to estimate efficacy and toxicity of immunotherapeutic targets for hematological malignancies. Total RNA was isolated from (malignant) hematopoietic cells isolated by flow cytometry based on expression of specific surface markers and from healthy non-hematopoietic cell types isolated or cultured from tissue biopsies or surgically removed specimen. From various non-hematopoietic cell types, total RNA was also isolated after 4 days of in vitro culture in the presence of IFN-γ or T-cell culture supernatant.
2016-09-01 | E-GEOD-76340 | biostudies-arrayexpress
Project description:DNMT3A (which encodes a de novo DNA methyltransferase) is one of the most frequently mutated genes in AML genomes. Point mutations at position R882 have been shown to cause a dominant negative loss of DNMT3A methylation activity, but 15% of DNMT3A mutations are predicted to produce truncated proteins, which could either have dominant negative activities, or cause loss-of-function and haploinsufficiency. We demonstrate that three of these mutants produce truncated, inactive proteins that do not dimerize with wild-type DNMT3A, strongly supporting the haploinsufficiency hypothesis. We therefore evaluated hematopoiesis in mice heterozygous for a constitutive null Dnmt3a mutation: unmanipulated mice developed myeloid skewing over time, and their stem/progenitor cells exhibited a long-term competitive transplantation advantage. Dnmt3a+/- mice spontaneously developed transplantable myeloid malignancies after a long latent period, and three of 12 tumors tested had cooperating mutations in the Ras- MAPK pathway. The residual Dnmt3a allele was neither mutated nor downregulated in tumors. The bone marrow cells of Dnmt3a+/- mice had a subtle but significant DNA hypomethylation phenotype that was not associated with gene dysregulation. These data demonstrate that haploinsufficiency for DNMT3A alters hematopoiesis, and predisposes mice (and probably humans) to myeloid malignancies by a mechanism that is not yet clear.
2017-08-01 | GSE100702 | GEO
Project description:Cellular immunotherapy has proven to be effective in the treatment of hematological cancers by donor lymphocyte infusion after allogeneic hematopoietic stem cell transplantation and more recently by targeted therapy with chimeric antigen or T-cell receptor-engineered T-cells. However, dependent on the tissue distribution of the antigens that are targeted, anti-tumor responses can be accompanied by undesired side effects. Therefore, detailed tissue distribution analysis is essential to estimate efficacy and toxicity of candidate targets for immunotherapy of hematological malignancies. In this study, we performed microarray gene expression analysis of hematological malignancies of different origins, healthy hematopoietic cells and various non-hematopoietic cell types from organs that are often targeted in detrimental immune responses after allogeneic stem cell transplantation leading to graft-versus-host disease. Non-hematopoietic cells were also cultured in the presence of IFN-γ to analyze gene expression under inflammatory circumstances. Gene expression was investigated by Illumina HT12.0 microarrays and quality control analysis was performed to confirm the cell-type origin and exclude contamination of non-hematopoietic cell samples with peripheral blood cells. Microarray data were validated by quantitative RT-PCR showing strong correlation between both platforms. Detailed gene expression profiles were generated for various minor histocompatibility antigens and B-cell surface antigens to illustrate the value of the microarray dataset to estimate efficacy and toxicity of candidate targets for immunotherapy. In conclusion, our microarray database provides a relevant platform to analyze and select candidate antigens with hematopoietic (lineage)-restricted expression as potential targets for immunotherapy of hematological cancers. Microarray gene expression analysis was performed on hematological malignancies of different origins and their healthy hematopoietic counterparts as well as on healthy non-hematopoietic cell types from organs that are often targeted in Graft-versus-Host Disease (166 samples in total). Various non-hematopoietic cell types were cultured in the presence of IFN-γ or T-cell culture supernatant to allow gene expression analysis under inflammatory conditions. Malignant and healthy hematopoietic cells were isolated by flow cytometry based on expression of specific surface markers and healthy non-hematopoietic cell types were isolated or cultured from tissue biopsies or surgically removed specimen. Various non-hematopoietic cell types were in vitro cultured for 4 days in the presence of IFN-γ or T-cell culture supernatant to mimic inflammation. The dataset allows comparison of gene expression between hematological malignancies and healthy non-hematopoietic cell types to estimate efficacy and toxicity of immunotherapeutic targets for hematological malignancies.
2016-09-01 | GSE76340 | GEO
Project description:Hematopoiesis under telomeric attrition at the single-cell resolution
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Project description:Hematopoiesis is a process of constitutive regeneration whereby hematopoietic stem and progenitor cells (HSPCs) constantly replenish mature blood cells. During maturation and aging, HSPCs alter their output to support the shifting demands of prenatal development and postnatal maturation both at homeostasis and in response to stress. How HSPC ontogeny changes throughout life is unknown; studies to date have largely focused on analysis of specific individual ages, particularly those done at single cell resolution. Here, we performed single cell RNA-seq of human HSPCs from early prenatal development into mature adulthood, demonstrating dynamic remodeling of HSPC transcriptional states and differentiation trajectories over time. We identified age-specific gene expression patterns of lineage commitment throughout human life, and developed an approach for identifying, prospectively purifying, and functionally validating age-specific HSPC states. Together, our findings define the temporal evolution of hematopoiesis during human development and maturation, and uncover principles applicable to age-biased blood diseases.
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