Combination Image Flow Cytometry Reveals Novel Methods for Isolating Megakaryocyte Progenitor Cells

2019 ◽  
Author(s):  
Lucas M. Bush ◽  
Connor P. Healy ◽  
James E. Marvin ◽  
Tara L. Deans
Keyword(s):  
Flow Cytometry ◽  
Progenitor Cells ◽  
Image Flow ◽  
Novel Methods

scholarly journals High-throughput enrichment and isolation of megakaryocyte progenitor cells from the mouse bone marrow

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Lucas M. Bush ◽  
Connor P. Healy ◽  
James E. Marvin ◽  
Tara L. Deans
Keyword(s):  
Bone Marrow ◽  
Flow Cytometry ◽  
Progenitor Cells ◽  
High Throughput ◽  
Severe Disease ◽  
Principal Component ◽  
The Body ◽  
Mouse Bone Marrow ◽  
Image Flow ◽  
And Function

AbstractMegakaryocytes are a rare population of cells that develop in the bone marrow and function to produce platelets that circulate throughout the body and form clots to stop or prevent bleeding. A major challenge in studying megakaryocyte development, and the diseases that arise from their dysfunction, is the identification, classification, and enrichment of megakaryocyte progenitor cells that are produced during hematopoiesis. Here, we present a high throughput strategy for identifying and isolating megakaryocytes and their progenitor cells from a heterogeneous population of bone marrow samples. Specifically, we couple thrombopoietin (TPO) induction, image flow cytometry, and principal component analysis (PCA) to identify and enrich for megakaryocyte progenitor cells that are capable of self-renewal and directly differentiating into mature megakaryocytes. This enrichment strategy distinguishes megakaryocyte progenitors from other lineage-committed cells in a high throughput manner. Furthermore, by using image flow cytometry with PCA, we have identified a combination of markers and characteristics that can be used to isolate megakaryocyte progenitor cells using standard flow cytometry methods. Altogether, these techniques enable the high throughput enrichment and isolation of cells in the megakaryocyte lineage and have the potential to enable rapid disease identification and diagnoses ahead of severe disease progression.

scholarly journals High-throughput enrichment and isolation of megakaryocyte progenitor cells from the mouse bone marrow

2019 ◽  
Author(s):  
Lucas M. Bush ◽  
Connor P. Healy ◽  
James E. Marvin ◽  
Tara L. Deans
Keyword(s):  
Bone Marrow ◽  
Flow Cytometry ◽  
Progenitor Cells ◽  
High Throughput ◽  
Severe Disease ◽  
The Body ◽  
Mouse Bone Marrow ◽  
Principle Components Analysis ◽  
Image Flow ◽  
And Function

AbstractMegakaryocytes are a rare population of cells that develop in the bone marrow and function to produce platelets that circulate throughout the body and form clots to stop or prevent bleeding. A major challenge in studying megakaryocyte development, and the diseases that arise from their dysfunction, is the identification, classification, and enrichment of megakaryocyte progenitor cells that are produced during hematopoiesis. Here, we present a high throughput strategy for identifying and isolating megakaryocytes and their progenitor cells from a heterogeneous population of bone marrow samples. Specifically, we couple thrombopoietin (TPO) induction, image flow cytometry, and principle components analysis (PCA) to identify and enrich for megakaryocyte progenitor cells that are capable of self-renewal and directly differentiating into mature megakaryocytes. This enrichment strategy distinguishes megakaryocyte progenitors from other lineage-committed cells in a high throughput manner. Furthermore, by using image flow cytometry with PCA, we have identified a combination of markers and characteristics that can be used to isolate megakaryocyte progenitor cells using standard flow cytometry methods. Altogether, these techniques enable the high throughput enrichment and isolation of cells in the megakaryocyte lineage and have the potential to enable rapid disease identification and diagnoses ahead of severe disease progression.

A deep learning-based concept for high throughput image flow cytometry

2021 ◽  
Vol 118 (12) ◽  
pp. 123701
Author(s):  
Julie Martin-Wortham ◽  
Steffen M. Recktenwald ◽  
Marcelle G. M. Lopes ◽  
Lars Kaestner ◽  
Christian Wagner ◽  
...  
Keyword(s):  
Flow Cytometry ◽  
Deep Learning ◽  
High Throughput ◽  
Image Flow

scholarly journals 4369 Reprogramming of vascular smooth muscle cells to multipotent progenitor cells contributes to progression of atherosclerosis

2020 ◽  
Vol 4 (s1) ◽  
pp. 102-102
Author(s):  
Allison Milfred Dubner ◽  
Sizhao Lu ◽  
Austin Jolly ◽  
Keith Strand ◽  
Marie Mutryn ◽  
...  
Keyword(s):  
Flow Cytometry ◽  
Smooth Muscle ◽  
Vascular Smooth Muscle ◽  
Progenitor Cells ◽  
Coronary Arteries ◽  
Lineage Tracing ◽  
Plaque Progression ◽  
Blood Institute ◽  
National Heart ◽  
National Heart Lung

OBJECTIVES/GOALS: Our lab previously identified a population of vascular smooth muscle (SMC)-derived progenitor cells (AdvSca1-SM) which expand robustly in response to disease and can differentiate into multiple cell types. We now aim to define the role of these AdvSca1-SM cells in atherosclerotic plaque progression. METHODS/STUDY POPULATION: Goal one uses SMC lineage tracing mice and a model of atherosclerosis to track reprogramming of SMCs to AdvSca1-SM cells in the setting of disease. Arteries are analyzed using flow cytometry and immunofluorescence to quantify changes in number of mature SMCs and AdvSca1-SM cells. Goal two uses AdvSca1-SM lineage tracing mice with high cholesterol-induced atherosclerosis and plaque neovascularization. Arteries are analyzed to quantify expansion of AdvSca1-SM cells, subsequent re-differentiation into mature SMC, endothelial cells, or macrophages, and contribution to plaque neovascularization. Mechanistic findings from both goals are being investigated in diseased human coronary arteries. RESULTS/ANTICIPATED RESULTS: Flow cytometry from SMC lineage tracing mice revealed a 7- to 13-fold expansion of AdvSca1-SM cells in carotid arteries (p<0.001) and aortas (p = 0.03) after 6 weeks of western diet; no differences in macrophage numbers were observed. Additional SMC and AdvSca1-SM cell lineage tracing mice are on atherogenic diets to assess early and advanced atherosclerosis. We predict that AdvSca1-SM cells will contribute to macrophage accumulation as well as plaque neovascularization in the setting of severe atherosclerosis. Translational relevance of mechanisms driving SMC reprogramming and AdvSca1-SM cell contribution to plaque progression are being applied to studies of diseased human coronary arteries. DISCUSSION/SIGNIFICANCE OF IMPACT: Our data suggest a role for AdvSca1-SM cells in atherosclerosis. Ongoing work will clarify the mechanisms driving plaque-associated AdvSca1-SM expansion and define the ultimate fates of these cells. In vivo modulation of this process could provide the basis for future anti-atherosclerotic therapies. CONFLICT OF INTEREST DESCRIPTION: AD - CCTSI TOTTS TL1TR002533; SL - 18POST34030397 from the American Heart Association; AJ – no conflicts; KS - 1F31HL147393 from the National Heart, Lung, and Blood Institute, NIH; MM – no conflicts; RT – no conflicts; KSM – no conflicts; RAN - R01CA236222 from the National Cancer Institute, NIH, and 2018-03 from the Lungevity Foundation; and MCMW-E - R01 HL121877 from the National Heart, Lung, and Blood Institute, NIH, and 25A8679 from the Chernowitz Foundation.

scholarly journals A selective cytotoxic adenovirus vector for concentration of pluripotent stem cells in human pluripotent stem cell-derived neural progenitor cells

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Takamasa Hirai ◽  
Ken Kono ◽  
Rumi Sawada ◽  
Takuya Kuroda ◽  
Satoshi Yasuda ◽  
...  
Keyword(s):  
Stem Cells ◽  
Flow Cytometry ◽  
Stem Cell ◽  
Progenitor Cells ◽  
Pluripotent Stem Cells ◽  
Pluripotent Stem Cell ◽  
Neural Progenitor Cells ◽  
Neural Progenitor ◽  
Sensitive Detection ◽  
Quality And Safety

AbstractHighly sensitive detection of residual undifferentiated pluripotent stem cells is essential for the quality and safety of cell-processed therapeutic products derived from human induced pluripotent stem cells (hiPSCs). We previously reported the generation of an adenovirus (Ad) vector and adeno-associated virus vectors that possess a suicide gene, inducible Caspase 9 (iCasp9), which makes it possible to sensitively detect undifferentiated hiPSCs in cultures of hiPSC-derived cardiomyocytes. In this study, we investigated whether these vectors also allow for detection of undifferentiated hiPSCs in preparations of hiPSC-derived neural progenitor cells (hiPSC-NPCs), which have been expected to treat neurological disorders. To detect undifferentiated hiPSCs, the expression of pluripotent stem cell markers was determined by immunostaining and flow cytometry. Using immortalized NPCs as a model, the Ad vector was identified to be the most efficient among the vectors tested in detecting undifferentiated hiPSCs. Moreover, we found that the Ad vector killed most hiPSC-NPCs in an iCasp9-dependent manner, enabling flow cytometry to detect undifferentiated hiPSCs intermingled at a lower concentration (0.002%) than reported previously (0.1%). These data indicate that the Ad vector selectively eliminates hiPSC-NPCs, thus allowing for sensitive detection of hiPSCs. This cytotoxic viral vector could contribute to ensuring the quality and safety of hiPSCs-NPCs for therapeutic use.

Determination of Circulating Endothelial Cells and Endothelial Progenitor Cells Using Multicolor Flow Cytometry in Patients with Thrombophilia

2019 ◽  
Vol 142 (2) ◽  
pp. 113-119
Author(s):  
Martin Řádek ◽  
Eva Babuňková ◽  
Martin Špaček ◽  
Tomáš Kvasnička ◽  
Jan Kvasnička
Keyword(s):  
Flow Cytometry ◽  
Endothelial Cells ◽  
Progenitor Cells ◽  
Endothelial Progenitor Cells ◽  
Endothelial Damage ◽  
Circulating Endothelial Cells ◽  
High Dose ◽  
Multicolor Flow Cytometry ◽  
Endothelial Progenitor ◽  
Identification And Quantification

Background/Aims: Endothelial progenitor cells (EPCs) and circulating endothelial cells (CECs) have been described as markers of endothelial damage and dysfunction in several diseases, including deep venous thrombosis. Their role in patients with known thrombophilia has not yet been evaluated. Both EPCs and CECs represent extremely rare cell populations. Therefore, it is essential to use standardized methods for their identification and quantification. Methods: In this study, we used multicolor flow cytometry to analyze the number of EPCs and CECs in patients with thrombophilia with or without a history of thrombosis. Patients with hematological malignancies after high-dose chemotherapy and patients with acute myocardial infarction were used as positive controls. Results: EPC and CEC immunophenotypes were determined as CD45dim/–CD34+CD146+CD133+ and CD45dim/–CD34+CD146+CD133–, respectively. Increased levels of endothelial cells were observed in positive control groups. No significant changes in the number of EPCs or CECs were detected in patients with thrombophilia compared to healthy controls. Conclusion: Our optimized multicolor flow cytometry method allows unambiguous identification and quantification of endothelial cells in the peripheral blood. Our results support previous studies showing that elevated levels of CECs could serve as an indicator of endothelial injury or dysfunction. Normal levels of CECs or EPCs were found in patients with thrombophilia.

scholarly journals Microwaves from mobile phone induce reactive oxygen species but not DNA damage, preleukemic fusion genes and apoptosis in hematopoietic stem/progenitor cells

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Matus Durdik ◽  
Pavol Kosik ◽  
Eva Markova ◽  
Alexandra Somsedikova ◽  
Beata Gajdosechova ◽  
...  
Keyword(s):  
Reactive Oxygen Species ◽  
Flow Cytometry ◽  
Dna Damage ◽  
Mobile Phone ◽  
Progenitor Cells ◽  
Reactive Oxygen ◽  
Oxygen Species ◽  
Fusion Genes ◽  
Microscopy Imaging ◽  
Hematopoietic Stem

Abstract Exposure to electromagnetic fields (EMF) has been associated with the increased risk of childhood leukemia, which arises from mutations induced within hematopoietic stem cells often through preleukemic fusion genes (PFG). In this study we investigated whether exposure to microwaves (MW) emitted by mobile phones could induce various biochemical markers of cellular damage including reactive oxygen species (ROS), DNA single and double strand breaks, PFG, and apoptosis in umbilical cord blood (UCB) cells including CD34+ hematopoietic stem/progenitor cells. UCB cells were exposed to MW pulsed signals from GSM900/UMTS test-mobile phone and ROS, apoptosis, DNA damage, and PFG were analyzed using flow cytometry, automated fluorescent microscopy, imaging flow cytometry, comet assay, and RT-qPCR. In general, no persisting difference in DNA damage, PFG and apoptosis between exposed and sham-exposed samples was detected. However, we found increased ROS level after 1 h of UMTS exposure that was not evident 3 h post-exposure. We also found that the level of ROS rise with the higher degree of cellular differentiation. Our data show that UCB cells exposed to pulsed MW developed transient increase in ROS that did not result in sustained DNA damage and apoptosis.

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