scholarly journals Characterization of the Drosophila adult hematopoietic system reveals a rare cell population with differentiation and proliferation potential.

2021 ◽  
Author(s):  
Manon Boulet ◽  
Yoan Renaud ◽  
Francois Lapraz ◽  
Billel Benmimoun ◽  
Laurence Vandel ◽  
...  

While many studies have described Drosophila embryonic and larval blood cells, the hematopoietic system of the imago remains poorly characterized and conflicting data have been published concerning adult hematopoiesis. Using a combination of blood cell markers, we show that the adult hematopoietic system is essentially composed of a few distinct mature blood cell types. In addition, our transcriptomics results indicate that adult and larval blood cells have both common and specific features and it appears that adult hemocytes reactivate many gene expressed in embryonic blood cells. Interestingly, we identify a small set of blood cells that do not express differentiation markers but maintain the progenitor marker domeMeso. Yet, we show that these cells are derived from the posterior signaling center, a specialized population of cells present in the larval lymph gland, rather than from larval blood cell progenitors, and that their maintenance depends on the EBF transcription factor Collier. Furthermore, while these cells are normally quiescent, we find that some of them can differentiate and proliferate in response to bacterial infection. In sum, our results indicate that adult flies harbor a small population of specialized cells with limited hematopoietic potential and further support the idea that no substantial hematopoiesis takes place during adulthood.

Author(s):  
Manon Boulet ◽  
Yoan Renaud ◽  
François Lapraz ◽  
Billel Benmimoun ◽  
Laurence Vandel ◽  
...  

While many studies have described Drosophila embryonic and larval blood cells, the hematopoietic system of the imago remains poorly characterized and conflicting data have been published concerning adult hematopoiesis. Using a combination of blood cell markers, we show that the adult hematopoietic system is essentially composed of a few distinct mature blood cell types. In addition, our transcriptomics results indicate that adult and larval blood cells have both common and specific features and it appears that adult hemocytes reactivate many genes expressed in embryonic blood cells. Interestingly, we identify a small set of blood cells that does not express differentiation markers but rather maintains the expression of the progenitor marker domeMeso. Yet, we show that these cells are derived from the posterior signaling center, a specialized population of cells present in the larval lymph gland, rather than from larval blood cell progenitors, and that their maintenance depends on the EBF transcription factor Collier. Furthermore, while these cells are normally quiescent, we find that some of them can differentiate and proliferate in response to bacterial infection. In sum, our results indicate that adult flies harbor a small population of specialized cells with limited hematopoietic potential and further support the idea that no substantial hematopoiesis takes place during adulthood.


Author(s):  
Apri Nur Liyantoko ◽  
Ika Candradewi ◽  
Agus Harjoko

 Leukemia is a type of cancer that is on white blood cell. This disease are characterized by abundance of abnormal white blood cell called lymphoblast in the bone marrow. Classification of blood cell types, calculation of the ratio of cell types and comparison with normal blood cells can be the subject of diagnosing this disease. The diagnostic process is carried out manually by hematologists through microscopic image. This method is likely to provide a subjective result and time-consuming.The application of digital image processing techniques and machine learning in the process of classifying white blood cells can provide more objective results. This research used thresholding method as segmentation and  multilayer method of back propagation perceptron with variations in the extraction of textural features, geometry, and colors. The results of segmentation testing in this study amounted to 68.70%. Whereas the classification test shows that the combination of feature extraction of GLCM features, geometry features, and color features gives the best results. This test produces an accuration value 91.43%, precision value of 50.63%, sensitivity 56.67%, F1Score 51.95%, and specitifity 94.16%.


2018 ◽  
Author(s):  
Meaghan J Jones ◽  
Louie Dinh ◽  
Hamid Reza Razzaghian ◽  
Olivia de Goede ◽  
Julia L MacIsaac ◽  
...  

AbstractBackgroundDNA methylation profiling of peripheral blood leukocytes has many research applications, and characterizing the changes in DNA methylation of specific white blood cell types between newborn and adult could add insight into the maturation of the immune system. As a consequence of developmental changes, DNA methylation profiles derived from adult white blood cells are poor references for prediction of cord blood cell types from DNA methylation data. We thus examined cell-type specific differences in DNA methylation in leukocyte subsets between cord and adult blood, and assessed the impact of these differences on prediction of cell types in cord blood.ResultsThough all cell types showed differences between cord and adult blood, some specific patterns stood out that reflected how the immune system changes after birth. In cord blood, lymphoid cells showed less variability than in adult, potentially demonstrating their naïve status. In fact, cord CD4 and CD8 T cells were so similar that genetic effects on DNA methylation were greater than cell type effects in our analysis, and CD8 T cell frequencies remained difficult to predict, even after optimizing the library used for cord blood composition estimation. Myeloid cells showed fewer changes between cord and adult and also less variability, with monocytes showing the fewest sites of DNA methylation change between cord and adult. Finally, including nucleated red blood cells in the reference library was necessary for accurate cell type predictions in cord blood.ConclusionChanges in DNA methylation with age were highly cell type specific, and those differences paralleled what is known about the maturation of the postnatal immune system.


Lab on a Chip ◽  
2020 ◽  
Vol 20 (2) ◽  
pp. 226-235 ◽  
Author(s):  
Emel Islamzada ◽  
Kerryn Matthews ◽  
Quan Guo ◽  
Aline T. Santoso ◽  
Simon P. Duffy ◽  
...  

Cell sorting using microfluidic ratchets enables sensitive and consistent characterization of donor red blood cell deformability. Using this capability, we show the degradation of red blood cell deformability during cold storage is donor-dependent.


Development ◽  
2001 ◽  
Vol 128 (11) ◽  
pp. 2131-2142
Author(s):  
Kristin Lorent ◽  
Katherine S. Liu ◽  
Joseph R. Fetcho ◽  
Michael Granato

All vertebrates depend on neural circuits to produce propulsive movements; however, the contribution of individual neural cell types to control such movements are not well understood. We report that zebrafish space cadet mutant larvae fail to initiate fast turning movements properly, and we show that this motor phenotype correlates with axonal defects in a small population of commissural hindbrain neurons, which we identify as spiral fiber neurons. Moreover, we demonstrate that severing spiral fiber axons produces space cadet-like locomotor defects, thereby providing compelling evidence that the space cadet gene plays an essential role in integrating these neurons into the circuitry that modulates fast turning movements. Finally, we show that axonal defects are restricted to a small set of commissural trajectories, including retinal ganglion cell axons and spiral fiber axons, and that the space cadet gene functions in axonal pathfinding. Together, our results provide a rare example in vertebrates of an individual neuronal cell type that contributes to the expression of a defined motor behavior. Movies available on-line


Blood ◽  
2018 ◽  
Vol 132 (Supplement 1) ◽  
pp. 531-531
Author(s):  
Erik L. Bao ◽  
Jacob C. Ulirsch ◽  
Caleb A. Lareau ◽  
Leif S. Ludwig ◽  
Michael H. Guo ◽  
...  

Abstract Hematopoiesis is a well-characterized paradigm of cellular differentiation that is highly regulated to ensure balanced proportions of mature blood cells. However, many aspects of this process remain poorly understood in humans. For example, there is extensive variation in commonly measured blood cell traits, which can manifest as diseases at extreme ends of the spectrum, yet the vast majority of genetic loci responsible for driving these differences are currently unknown. Here, we integrate fine-mapped population genetics with high-resolution chromatin landscapes to gain novel insights into regulatory mechanisms critical for human blood cell production and disease. First, we conducted a genome-wide association study in 115,000 individuals from the UK Biobank, measuring the effects of genetic variation on 16 blood traits spanning 7 hematopoietic lineages (erythroid, platelet, lymphocyte, monocyte, neutrophil, eosinophil, basophil). Within each region of association (n = 2,056), we performed Bayesian fine-mapping on all common variants to resolve the most likely causal hits. Going further, we were interested in whether genetic variants predominantly act in terminal cell states or less differentiated progenitors. To this end, we overlapped fine-mapped variants with chromatin accessibility profiles (ATAC-seq) of 18 primary hematopoietic populations sorted from healthy donors. Across all lineages, 21% of regulatory variants were restricted to accessible chromatin (AC) peaks in terminal progenitors. Interestingly, 59% of variants fell in AC regions of one or more upstream progenitor states, suggesting that a significant amount of variation in blood traits stems from regulatory signaling in earlier stages of hematopoiesis. Motivated by this finding, we hypothesized that different branches of hematopoiesis (e.g., monocyte and red blood cell count) could be co-regulated by pleiotropic variants acting in common progenitor populations. Therefore, we investigated variants associated with 2 or more of the 7 blood cell types for which phenotypes were available. Remarkably, across 172 such variants, there was an average of 60% more open chromatin in progenitors than terminal cell types (mean 4.01 vs. 2.44 counts per million; p = 0.025). Examining the directional effects of these variants on distinct lineages, we discovered that 91% of pleiotropic variants exhibited a tune mechanism by changing the levels of different blood cells in the same direction. One such example was rs17758695 located in intron 1 of BCL2, an anti-apoptotic protein known to regulate cell death similarly across multiple hematopoietic cell types. In contrast, the remaining 9% of pleiotropic variants favored one lineage at the expense of others (switch mechanism), including novel variants near key myeloid-determining transcription factors CEBPA and MYC (rs78744187 and rs562240450). Together, these results suggest that pleiotropic variants 1) preferentially act in common progenitor rather than terminal cell types, and 2) predominantly tune multiple traits in the same direction, but may favor one at the expense of others when influencing lineage commitment. Finally, given the enrichment of fine-mapped variants in common progenitor states, we set out to determine whether classically defined hematopoietic populations could be divided into lineage-biased subpopulations based on differential genetic regulation of blood traits. To do so, we measured the enrichment of fine-mapped variants in the chromatin landscapes of 2,034 single cells isolated from 8 hematopoietic progenitor populations. Strikingly, we discovered significant heterogeneity within the common myeloid progenitor (CMP) population, in which one subset of cells exhibited greater open-chromatin enrichment for myeloid trait variants and relevant transcription factor (TF) binding (CEBPA, IRF8), whereas the other subset showed enrichment for erythroid trait variants and TFs (GATA1, KLF1). By integrating genetic fine-mapping with chromatin data, we identified hundreds of causal variants regulating 16 blood traits, characterized novel mechanisms of pleiotropic effects, and discovered cell states enriched for blood trait regulation. These findings provide new insights into the importance of genetic regulation in progenitor cell states and will contribute to knowledge of how these processes go awry in diseases of blood cell production. Disclosures No relevant conflicts of interest to declare.


Author(s):  
Hugh Devlin ◽  
Rebecca Craven

The blood in relation to dentistry is the topic of this chapter. Components of blood are described, including the blood cell types, their development and functions. Anaemias are discussed and their dental implications. Haemostasis and the coagulation pathway are described, followed by the bleeding disorders, how they are detected in blood tests and managed so as to avoid complications arising from dental treatment. The main malignancies of white blood cells are described in relation to dental care. The final section deals with blood and tissue types and their relevance to blood transfusion and tissue transplantation.


2020 ◽  
Author(s):  
Rajkumar Vaghashiya ◽  
Varun Chauhan ◽  
Kaushal Kapadiya ◽  
Smit Sanghavi ◽  
Ishita Nandwani ◽  
...  

Abstract Digital Inline Holography (DIH) based microscopy is a well-established technique for the characterization of nano and microparticles, such as biological cells, artificial microparticles, quantum dots, etc. Due to its simplicity and cost-effectiveness, various practical solutions such as auto characterization of complete blood count (CBC), cell viability test, and 3D cell tomography have been developed. In our previous work, we demonstrated the feasibility of this system to perform complete blood count along with the auto characterization of cell-lines as well as shape and size characterization of the microparticles. However, its performance suffered due to the weak signals from some of the cells owing to their poor signatures and the presence of background noise. The auto characterization technique therein was based on the parameters determined from our empirical findings, which limit the system in terms of its cellline recognition power. In this work, we try to address these issues by leveraging an artificial intelligence-powered auto signal enhancing scheme as well as adaptive cell characterization technique. The performance comparison of our proposed method with the existing analytical model shows an increase in accuracy to >98% along with the signal enhancement of >5 dB for most cell types like Red Blood Cell (RBC) and White Blood Cell (WBC), except the cancer cells (HepG2 and MCF-7) for which the accuracy is about 84%.


Author(s):  
T Sudarshan Rao ◽  
◽  
N Rohan Sai ◽  
D Koteswara Rao ◽  
◽  
...  

Modern-day computation has become indispensable in the healthcare industry. From medical image processing to cost reduction, Artificial Intelligence has proved its significance in solving complex healthcare problems. One of the primary areas in which it can be of greater use in hematology. Categorization of white-blood cells is imperative to pre-identify abnormalities. Through this paper, we collected image samples for 4 major White Blood cell groups, which are Neutrophils, Lymphocytes, Monocytes, and Eosinophils. The aim of this research is to put forward an intelligent system that efficiently alleviates the stringent requirement of a cytological study. The proposed system classifies 4 white-blood-cell types based on their morphological variation. With the experimental modulations that we chose to integrate, the presented model attained an accuracy of 97%.


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