1
|
Takasaki K, Wafula EK, Kumar SS, Smith D, Gagne AL, French DL, Thom CS, Chou ST. Single-cell transcriptomics reveal synergistic and antagonistic effects of T21 and GATA1s on hematopoiesis. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.05.24.595827. [PMID: 38826323 PMCID: PMC11142253 DOI: 10.1101/2024.05.24.595827] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/04/2024]
Abstract
Trisomy 21 (T21), or Down syndrome (DS), is associated with baseline macrocytic erythrocytosis, thrombocytopenia, and neutrophilia, and transient abnormal myelopoiesis (TAM) and myeloid leukemia of DS (ML-DS). TAM and ML-DS blasts both arise from an aberrant megakaryocyte-erythroid progenitor and exclusively express GATA1s, the truncated isoform of GATA1 , while germline GATA1s mutations in a non-T21 context lead to congenital cytopenias without a leukemic predisposition. This suggests that T21 and GATA1s perturb hematopoiesis independently and synergistically, but this interaction has been challenging to study in part due to limited human cell and murine models. To dissect the developmental impacts of GATA1s on hematopoiesis in euploid and T21 cells, we performed a single-cell RNA-sequencing timecourse on hematopoietic progenitors (HPCs) derived from isogenic human induced pluripotent stem cells differing only by chromosome 21 and/or GATA1 status. These HPCs were surprisingly heterogeneous and displayed spontaneous lineage skew apparently dictated by T21 and/or GATA1s. In euploid cells, GATA1s nearly eliminated erythropoiesis, impaired MK maturation, and promoted an immature myelopoiesis, while in T21 cells, GATA1s appeared to compete with the enhanced erythropoiesis and suppressed megakaryopoiesis driven by T21 to give rise to immature erythrocytes, MKs, and myeloid cells. T21 and GATA1s both disrupted temporal regulation of lineage-specific transcriptional programs and specifically perturbed cell cycle genes. These findings in an isogenic system can thus be attributed specifically to T21 and GATA1s and suggest that these genetic changes together enhance HPC proliferation at the expense of maturation, consistent with a pro-leukemic phenotype.
Collapse
|
2
|
Chi Y, Yang G, Guo C, Zhang S, Hong L, Tang H, Sang X, Wang J, Ma J, Xue Y, Zeng F. Identification of Cellular Compositions in Different Microenvironments and Their Potential Impacts on Hematopoietic Stem Cells HSCs Using Single-Cell RNA Sequencing with Systematical Confirmation. Life (Basel) 2023; 13:2157. [PMID: 38004297 PMCID: PMC10671877 DOI: 10.3390/life13112157] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2023] [Revised: 10/17/2023] [Accepted: 10/17/2023] [Indexed: 11/26/2023] Open
Abstract
Hematopoietic stem cells (HSCs) are stem cells that can differentiate into various blood cells and have long-term self-renewal capacity. At present, HSC transplantation is an effective therapeutic means for many malignant hematological diseases, such as aplastic hematological diseases and autoimmune diseases. The hematopoietic microenvironment affects the proliferation, differentiation, and homeostasis of HSCs. The regulatory effect of the hematopoietic microenvironment on HSCs is complex and has not been thoroughly studied yet. In this study, we focused on mononuclear cells (MNCs), which provided an important microenvironment for HSCs and established a methodological system for identifying cellular composition by means of multiple technologies and methods. First, single-cell RNA sequencing (scRNA-seq) technology was used to investigate the cellular composition of cells originating from different microenvironments during different stages of hematopoiesis, including mouse fetal liver mononuclear cells (FL-MNCs), bone marrow mononuclear cells (BM-MNCs), and in vitro-cultured fetal liver stromal cells. Second, bioinformatics analysis showed a higher proportion and stronger proliferation of the HSCs in FL-MNCs than those in BM-MNCs. On the other hand, macrophages in in vitro-cultured fetal liver stromal cells were enriched to about 76%. Differential gene expression analysis and Gene Ontology (GO) functional enrichment analysis demonstrated that fetal liver macrophages have strong cell migration and actin skeleton formation capabilities, allowing them to participate in the hematopoietic homeostasis through endocytosis and exocytosis. Last, various validation experiments such as quantitative real-time PCR (qRT-PCR), ELISA, and confocal image assays were performed on randomly selected target genes or proteins secreted by fetal liver macrophages to further demonstrate the potential relationship between HSCs and the cells inhabiting their microenvironment. This system, which integrates multiple methods, could be used to better understand the fate of these specific cells by determining regulation mechanism of both HSCs and macrophages and could also be extended to studies in other cellular models.
Collapse
Affiliation(s)
- Yanan Chi
- Department of Histo-Embryology, Genetics and Developmental Biology, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Guanheng Yang
- Shanghai Institute of Medical Genetics, Shanghai Children’s Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200040, China (H.T.); (X.S.)
- NHC Key Laboratory of Medical Embryogenesis and Developmental Molecular Biology & Shanghai Key Laboratory of Embryo and Reproduction Engineering, Shanghai 200040, China
| | - Chuanliang Guo
- Shanghai Institute of Medical Genetics, Shanghai Children’s Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200040, China (H.T.); (X.S.)
- NHC Key Laboratory of Medical Embryogenesis and Developmental Molecular Biology & Shanghai Key Laboratory of Embryo and Reproduction Engineering, Shanghai 200040, China
| | - Shaoqing Zhang
- Shanghai Institute of Medical Genetics, Shanghai Children’s Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200040, China (H.T.); (X.S.)
- NHC Key Laboratory of Medical Embryogenesis and Developmental Molecular Biology & Shanghai Key Laboratory of Embryo and Reproduction Engineering, Shanghai 200040, China
| | - Lei Hong
- Shanghai Institute of Medical Genetics, Shanghai Children’s Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200040, China (H.T.); (X.S.)
- NHC Key Laboratory of Medical Embryogenesis and Developmental Molecular Biology & Shanghai Key Laboratory of Embryo and Reproduction Engineering, Shanghai 200040, China
| | - Huixiang Tang
- Shanghai Institute of Medical Genetics, Shanghai Children’s Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200040, China (H.T.); (X.S.)
- NHC Key Laboratory of Medical Embryogenesis and Developmental Molecular Biology & Shanghai Key Laboratory of Embryo and Reproduction Engineering, Shanghai 200040, China
| | - Xiao Sang
- Shanghai Institute of Medical Genetics, Shanghai Children’s Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200040, China (H.T.); (X.S.)
- NHC Key Laboratory of Medical Embryogenesis and Developmental Molecular Biology & Shanghai Key Laboratory of Embryo and Reproduction Engineering, Shanghai 200040, China
| | - Jie Wang
- Shanghai Institute of Medical Genetics, Shanghai Children’s Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200040, China (H.T.); (X.S.)
- NHC Key Laboratory of Medical Embryogenesis and Developmental Molecular Biology & Shanghai Key Laboratory of Embryo and Reproduction Engineering, Shanghai 200040, China
| | - Ji Ma
- Department of Histo-Embryology, Genetics and Developmental Biology, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
- Shanghai Institute of Medical Genetics, Shanghai Children’s Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200040, China (H.T.); (X.S.)
- NHC Key Laboratory of Medical Embryogenesis and Developmental Molecular Biology & Shanghai Key Laboratory of Embryo and Reproduction Engineering, Shanghai 200040, China
| | - Yan Xue
- Department of Histo-Embryology, Genetics and Developmental Biology, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
- Shanghai Institute of Medical Genetics, Shanghai Children’s Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200040, China (H.T.); (X.S.)
- NHC Key Laboratory of Medical Embryogenesis and Developmental Molecular Biology & Shanghai Key Laboratory of Embryo and Reproduction Engineering, Shanghai 200040, China
| | - Fanyi Zeng
- Department of Histo-Embryology, Genetics and Developmental Biology, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
- Shanghai Institute of Medical Genetics, Shanghai Children’s Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200040, China (H.T.); (X.S.)
- NHC Key Laboratory of Medical Embryogenesis and Developmental Molecular Biology & Shanghai Key Laboratory of Embryo and Reproduction Engineering, Shanghai 200040, China
- School of Pharmacy, Macau University of Science and Technology, Macau 999078, China
| |
Collapse
|
3
|
Dozzo A, Galvin A, Shin JW, Scalia S, O'Driscoll CM, Ryan KB. Modelling acute myeloid leukemia (AML): What's new? A transition from the classical to the modern. Drug Deliv Transl Res 2022:10.1007/s13346-022-01189-4. [PMID: 35930221 DOI: 10.1007/s13346-022-01189-4] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/24/2022] [Indexed: 11/24/2022]
Abstract
Acute myeloid leukemia (AML) is a heterogeneous malignancy affecting myeloid cells in the bone marrow (BM) but can spread giving rise to impaired hematopoiesis. AML incidence increases with age and is associated with poor prognostic outcomes. There has been a disconnect between the success of novel drug compounds observed in preclinical studies of hematological malignancy and less than exceptional therapeutic responses in clinical trials. This review aims to provide a state-of-the-art overview on the different preclinical models of AML available to expand insights into disease pathology and as preclinical screening tools. Deciphering the complex physiological and pathological processes and developing predictive preclinical models are key to understanding disease progression and fundamental in the development and testing of new effective drug treatments. Standard scaffold-free suspension models fail to recapitulate the complex environment where AML occurs. To this end, we review advances in scaffold/matrix-based 3D models and outline the most recent advances in on-chip technology. We also provide an overview of clinically relevant animal models and review the expanding use of patient-derived samples, which offer the prospect to create more "patient specific" screening tools either in the guise of 3D matrix models, microphysiological "organ-on-chip" tools or xenograft models and discuss representative examples.
Collapse
Affiliation(s)
| | - Aoife Galvin
- School of Pharmacy, University College Cork, Cork, Ireland
| | - Jae-Won Shin
- Department of Pharmacology and Regenerative Medicine, University of Illinois at Chicago College of Medicine, 909 S. Wolcott Ave, Chicago, IL, 5091 COMRB, USA
| | - Santo Scalia
- Università degli Studi di Ferrara, Via Luigi Borsari 46, 44121, Ferrara, Italy
| | - Caitriona M O'Driscoll
- School of Pharmacy, University College Cork, Cork, Ireland.,SSPC Centre for Pharmaceutical Research, School of Pharmacy, University College Cork, Cork, Ireland
| | - Katie B Ryan
- School of Pharmacy, University College Cork, Cork, Ireland. .,SSPC Centre for Pharmaceutical Research, School of Pharmacy, University College Cork, Cork, Ireland.
| |
Collapse
|
4
|
Aubrey M, Warburg ZJ, Murre C. Helix-Loop-Helix Proteins in Adaptive Immune Development. Front Immunol 2022; 13:881656. [PMID: 35634342 PMCID: PMC9134016 DOI: 10.3389/fimmu.2022.881656] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2022] [Accepted: 04/04/2022] [Indexed: 11/13/2022] Open
Abstract
The E/ID protein axis is instrumental for defining the developmental progression and functions of hematopoietic cells. The E proteins are dimeric transcription factors that activate gene expression programs and coordinate changes in chromatin organization. Id proteins are antagonists of E protein activity. Relative levels of E/Id proteins are modulated throughout hematopoietic development to enable the progression of hematopoietic stem cells into multiple adaptive and innate immune lineages including natural killer cells, B cells and T cells. In early progenitors, the E proteins promote commitment to the T and B cell lineages by orchestrating lineage specific programs of gene expression and regulating VDJ recombination of antigen receptor loci. In mature B cells, the E/Id protein axis functions to promote class switch recombination and somatic hypermutation. E protein activity further regulates differentiation into distinct CD4+ and CD8+ T cells subsets and instructs mature T cell immune responses. In this review, we discuss how the E/Id proteins define the adaptive immune system lineages, focusing on their role in directing developmental gene programs.
Collapse
Affiliation(s)
- Megan Aubrey
- Division of Biological Sciences, Section of Molecular Biology, University of California, San Diego, San Diego, CA, United States
| | - Zachary J Warburg
- Division of Biological Sciences, Section of Molecular Biology, University of California, San Diego, San Diego, CA, United States
| | - Cornelis Murre
- Division of Biological Sciences, Section of Molecular Biology, University of California, San Diego, San Diego, CA, United States
| |
Collapse
|
5
|
Zhang P, Li X, Pan C, Zheng X, Hu B, Xie R, Hu J, Shang X, Yang H. Single-cell RNA sequencing to track novel perspectives in HSC heterogeneity. Stem Cell Res Ther 2022; 13:39. [PMID: 35093185 PMCID: PMC8800338 DOI: 10.1186/s13287-022-02718-1] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2021] [Accepted: 01/06/2022] [Indexed: 12/21/2022] Open
Abstract
As the importance of cell heterogeneity has begun to be emphasized, single-cell sequencing approaches are rapidly adopted to study cell heterogeneity and cellular evolutionary relationships of various cells, including stem cell populations. The hematopoietic stem and progenitor cell (HSPC) compartment contains HSC hematopoietic stem cells (HSCs) and distinct hematopoietic cells with different abilities to self-renew. These cells perform their own functions to maintain different hematopoietic lineages. Undeniably, single-cell sequencing approaches, including single-cell RNA sequencing (scRNA-seq) technologies, empower more opportunities to study the heterogeneity of normal and pathological HSCs. In this review, we discuss how these scRNA-seq technologies contribute to tracing origin and lineage commitment of HSCs, profiling the bone marrow microenvironment and providing high-resolution dissection of malignant hematopoiesis, leading to exciting new findings in HSC biology.
Collapse
|