Comparative polyA+ RNA sequencing of hematopoietic stem cells from adult Osmr gene knock-out and wild-type mice
Ontology highlight
ABSTRACT:
ORGANISM(S): Mus musculus
PROVIDER: GSE157579 | GEO | 2021/09/01
REPOSITORIES: GEO
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Project description:Oncostatin M (OSM) is a member of the interleukin-6 (IL-6) family of cytokines. OSM has been found to have distinct anti-inflammatory and pro-inflammatory properties in various cellular and disease contexts. OSM signals through a receptor complex that includes OSMRbeta and activates downstream signaling through the JAK/STAT, MAPK/ERK and PI3K/AKT pathways. To investigate the anti- and/or pro-inflammatory roles of OSM signaling in the context of adult hematopoiesis, we utilized the readily available Cre-driven conditional knockout Osmrfl/fl mouse model B6;129-Osmrtm1.1Nat/J. This model contains loxP sites flanking exon 2, which is the first coding exon of the Osmr gene. We crossed Osmrfl/fl mice to an interferon-inducible Mx1-Cre allele that is classically utilized to study adult hematopoiesis given its high efficiency of expression and recombination in adult hematopoietic cells. We developed a PCR assay to evaluate recombination of the Osmrfl allele. In Osmrfl/fl Mx1-Cre mice, we observed complete recombination of the Osmrfl allele and loss of exon 2 in hematopoietic (bone marrow) as well as non-hematopoietic (liver, lung, kidney) tissues. To evaluate Osmr mRNA expression downstream of exon 2, real-time PCR was utilized with TaqMan probes that anneal to an amplicon spanning Osmr exons 17 and 18. Using this assay, reduced Osmr transcript was observed in kidney samples from Osmrfl/fl Mx1-Cre mice compared to Mx1-Cre controls. However, Osmr transcript levels were similar in bone marrow, lung, and liver samples from Osmrfl/fl Mx1-Cre compared to Mx1-Cre control mice, suggesting that transcript is being produced despite loss of exon 2. Western blots revealed that liver cells from Osmrfl/fl Mx1-Cre mice had complete loss of OSMR protein. In contrast, bone marrow, kidney, and lung cells from Osmrfl/fl Mx1-Cre mice had reduced levels of OSMR protein. Together, our data suggest that the B6;129-Osmrtm1.1Nat/J model should be utilized with caution as loss of exon 2 of Osmr variably impacts mRNA and protein expression in a tissue-dependent context.
2024-02-18 | GSE244544 | GEO
Project description:This clinical trial studies etoposide, filgrastim and plerixafor in improving stem cell mobilization in patients with non-Hodgkin lymphoma. Giving colony-stimulating factors, such as filgrastim, and plerixafor and etoposide together helps stem cells move from the patient’s bone marrow to the blood so they can be collected and stored.
| 2110819 | ecrin-mdr-crc
Project description:Plerixafor (AMD3100) and G-CSF mobilize peripheral blood stem cells (PBSCs) by different mechanisms. A rhesus macaque model was used to compare plerixafor and G-CSF-mobilized CD34+ cells. Three PBSC concentrates were collected from 3 macaques treated with G-CSF, plerixafor, or plerixafor plus G-CSF. CD34+ cells were isolated by immunoselection and were analyzed by global gene and micro RNA (miR) expression microarrays. Unsupervised hierarchical clustering of the gene expression data separated the CD34+ cells into three groups based on mobilization regimen. Plerixafor-mobilized cells were enriched for B cells, T cells and mast cells genes and G-CSF-mobilized cells were enriched for neutrophils, and mononuclear phagocytes (MPs) genes. Genes up-regulated in plerixafor plus G-CSF-mobilized CD34+ cells included many that were not up-regulated by either agent alone. Two hematopoietic progenitor cell miR, miR-10 and miR-126, and a dendritic cell miR, miR-155, were up-regulated in G-CSF-mobilized CD34+ cells. A pre-B cell acute lymphocytic leukemia miR, miR-143-3p, and a T cell miR, miR-143-5p, were up-regulated in plerixafor plus G-CSF-mobilized cells. The composition of CD34+ cells is dependent on the mobilization protocol. Plerixafor-mobilized CD34+ cells include more B, T, and mast cell precursors while G-CSF-mobilized cells have more neutrophil and MP precursors.
2009-12-05 | GSE16936 | GEO
Project description:Plerixafor (AMD3100) and G-CSF mobilize peripheral blood stem cells (PBSCs) by different mechanisms. A rhesus macaque model was used to compare plerixafor and G-CSF-mobilized CD34+ cells. Three PBSC concentrates were collected from 3 macaques treated with G-CSF, plerixafor, or plerixafor plus G-CSF. CD34+ cells were isolated by immunoselection and were analyzed by global gene and micro RNA (miR) expression microarrays. Unsupervised hierarchical clustering of the gene expression data separated the CD34+ cells into three groups based on mobilization regimen. Plerixafor-mobilized cells were enriched for B cells, T cells and mast cells genes and G-CSF-mobilized cells were enriched for neutrophils, and mononuclear phagocytes (MPs) genes. Genes up-regulated in plerixafor plus G-CSF-mobilized CD34+ cells included many that were not up-regulated by either agent alone. Two hematopoietic progenitor cell miR, miR-10 and miR-126, and a dendritic cell miR, miR-155, were up-regulated in G-CSF-mobilized CD34+ cells. A pre-B cell acute lymphocytic leukemia miR, miR-143-3p, and a T cell miR, miR-143-5p, were up-regulated in plerixafor plus G-CSF-mobilized cells. The composition of CD34+ cells is dependent on the mobilization protocol. Plerixafor-mobilized CD34+ cells include more B, T, and mast cell precursors while G-CSF-mobilized cells have more neutrophil and MP precursors. Three rhesus macaques were given all three mobilization protocols and PBSCs were collected from each of these three animals. Two monkeys were given plerixafor first, one was given G-CSF first and all three were given plerixafor plus G-CSF last. This resulted in 6 samples (CD34+ and CD34- cells from each of the 3 mobilizations) from each of the 3 individual animals (biological replicates).
2009-12-04 | E-GEOD-16936 | biostudies-arrayexpress
Project description:The paper describes a model of tumor invasion to bone marrow.
Created by COPASI 4.26 (Build 213)
This model is described in the article:
Modeling invasion of metastasizing cancer cells to bone marrow utilizing ecological principles
Kun-Wan Chen, Kenneth J Pienta
Theoretical Biology and Medical Modelling 2011, 8:36
Abstract:
Background: The invasion of a new species into an established ecosystem can be directly compared to the steps involved in cancer metastasis. Cancer must grow in a primary site, extravasate and survive in the circulation to then intravasate into target organ (invasive species survival in transport). Cancer cells often lay dormant at their metastatic site for a long period of time (lag period for invasive species) before proliferating (invasive spread). Proliferation in the new site has an impact on the target organ microenvironment (ecological impact) and eventually the human host (biosphere impact).
Results: Tilman has described mathematical equations for the competition between invasive species in a structured habitat. These equations were adapted to study the invasion of cancer cells into the bone marrow microenvironment as a structured habitat. A large proportion of solid tumor metastases are bone metastases, known to usurp hematopoietic stem cells (HSC) homing pathways to establish footholds in the bone marrow. This required accounting for the fact that this is the natural home of hematopoietic stem cells and that they already occupy this structured space. The adapted Tilman model of invasion dynamics is especially valuable for modeling the lag period or dormancy of cancer cells.
Conclusions: The Tilman equations for modeling the invasion of two species into a defined space have been modified to study the invasion of cancer cells into the bone marrow microenvironment. These modified equations allow a more flexible way to model the space competition between the two cell species. The ability to model initial density, metastatic seeding into the bone marrow and growth once the cells are present, and movement of cells out of the bone marrow niche and apoptosis of cells are all aspects of the adapted equations. These equations are currently being applied to clinical data sets for verification and further refinement of the models.
To cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models .
To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide.
Please refer to CC0 Public Domain Dedication for more information.
2019-08-13 | BIOMD0000000795 | BioModels
Project description:The paper describes a model of tumor invasion to bone marrow.
Created by COPASI 4.26 (Build 213)
This model is described in the article:
Modeling invasion of metastasizing cancer cells to bone marrow utilizing ecological principles
Kun-Wan Chen, Kenneth J Pienta
Theoretical Biology and Medical Modelling 2011, 8:36
Abstract:
Background: The invasion of a new species into an established ecosystem can be directly compared to the steps involved in cancer metastasis. Cancer must grow in a primary site, extravasate and survive in the circulation to then intravasate into target organ (invasive species survival in transport). Cancer cells often lay dormant at their metastatic site for a long period of time (lag period for invasive species) before proliferating (invasive spread). Proliferation in the new site has an impact on the target organ microenvironment (ecological impact) and eventually the human host (biosphere impact).
Results: Tilman has described mathematical equations for the competition between invasive species in a structured habitat. These equations were adapted to study the invasion of cancer cells into the bone marrow microenvironment as a structured habitat. A large proportion of solid tumor metastases are bone metastases, known to usurp hematopoietic stem cells (HSC) homing pathways to establish footholds in the bone marrow. This required accounting for the fact that this is the natural home of hematopoietic stem cells and that they already occupy this structured space. The adapted Tilman model of invasion dynamics is especially valuable for modeling the lag period or dormancy of cancer cells.
Conclusions: The Tilman equations for modeling the invasion of two species into a defined space have been modified to study the invasion of cancer cells into the bone marrow microenvironment. These modified equations allow a more flexible way to model the space competition between the two cell species. The ability to model initial density, metastatic seeding into the bone marrow and growth once the cells are present, and movement of cells out of the bone marrow niche and apoptosis of cells are all aspects of the adapted equations. These equations are currently being applied to clinical data sets for verification and further refinement of the models.
To cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models .
To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide.
Please refer to CC0 Public Domain Dedication for more information.
2019-08-13 | BIOMD0000000793 | BioModels
Project description:Autologous hematopoietic stem cell transplantation (ASCT) improves survival in multiple myeloma (MM). However, up to 30% of MM patients are unable to collect optimal numbers of peripheral blood (PB) CD34+ hematopoietic stem and progenitor cells (HSPCs) with standard G-CSF mobilization. Motixafortide is a novel cyclic-peptide CXCR4 inhibitor with extended receptor occupancy and enhanced in-vivo activity. The GENESIS Trial is a prospective, phase III, double-blind, placebo-controlled, international, multicenter, superiority trial with 122 adult patients randomized (2:1) to motixafortide+G-CSF or placebo+G-CSF for HSPC mobilization for ASCT in MM (NCT03246529). The primary endpoint of the study was met, with motixafortide+G-CSF enabling 92.5% of patients to collect ≥6x106 CD34+ cells/kg within 2 apheresis procedures versus 26.2% with placebo+G-CSF (p<0.0001). A key, prespecified secondary endpoint was also met, with motixafortide+G-CSF enabling 88.8% of patients to collect ≥6x106 CD34+ cells/kg in 1 apheresis versus 9.5% with placebo+G-CSF (p<0.0001). Motixafortide+G-CSF was safe and well-tolerated, with the most common treatment-emergent adverse events observed being transient, Grade 1/2 injection site reactions (pain: 50%, erythema: 27.5%, pruritis: 21.3%). In addition, extended immunophenotyping and single-cell transcriptional profiling were performed on CD34+ HSPCs mobilized on the GENESIS Trial, as well as a contemporaneous MM cohort undergoing plerixafor+G-CSF mobilization for ASCT and 3 cohorts of allogeneic HSPC donors undergoing single-agent mobilization with motixafortide, plerixafor or G-CSF alone. Motixafortide+G-CSF resulted in a 10.5-fold increase in primitive HSPCs collected versus placebo+G-CSF (p<0.0001); and significantly greater numbers of early stem and progenitors versus both placebo+G-CSF (p<0.0001) and plerixafor+G-CSF (p=0.0327). Motixafortide also preferentially mobilized HSPC subsets with upregulated gene expression pathways associated with enhanced self-renewal, regeneration and quiescence (EGF, NFB/TNF and HBO1). In conclusion, motixafortide+G-CSF mobilized significantly greater CD34+ HSPC numbers within 2 apheresis procedures versus placebo+G-CSF. Motixafortide also preferentially mobilized primitive stem and early progenitor cells with unique transcriptional profiles versus plerixafor and G-CSF.
2023-01-31 | GSE223972 | GEO
Project description:Hematopoietic stem and progenitors cells interact with organ specific stem cell niches. We used single cell RNA sequencing (scRNA-seq) to analyze the gene expression of hematopoietic and potential stromal cells in the bone marrow and spleen with or without PyMT-B6 breast cancer.
2023-02-06 | GSE207940 | GEO
Project description:Hematopoietic stem cells give rise to all blood lineages, can fully re-populate the bone marrow, and easily outlive the host organism. To better understand how stem cells remain fit during aging, we analyzed the proteome of hematopoietic stem and progenitor cells.
2019-05-23 | MSV000083845 | MassIVE
Project description:The hematopoietic niches in bone marrow (BM) are specialized compartments working in harmony to regulate all the steps of the hematopoiesis cascade. Little is known about how BM niches in healthy humans. Therefore, we investigated the presence of different niches in healthy human BM using comparative omic technologies (Metabolomic and transcriptomic). We sequenced and comparative analyzed mRNA samples of human bone marrow mesenchymal stem cells (MSCs) to generate the gene expression profiles of these cells which obtained from two anatomically different BM regions (R1 and R2).
2021-03-01 | GSE145008 | GEO