scholarly journals A Durable Anatomy with Local Plasticity Enables Normal and Stress Hematopoiesis

Blood ◽  
2021 ◽  
Vol 138 (Supplement 1) ◽  
pp. 297-297
Author(s):  
Qingqing Wu ◽  
Jizhou Zhang ◽  
Courtney Johnson ◽  
Benjamin Weinhaus ◽  
Anastasiya Slaughter ◽  
...  

Abstract Knowledge of the anatomy of each tissue and the relationships between progenitors and daughter cells is necessary to understand physiology and pathology. The anatomy of hematopoiesis in the marrow remains largely unknown. Here we identify strategies to image all steps of blood cell production in the mouse sternum using confocal microscopy. We show that long-distance migration of multipotent progenitors, lineage-committed progenitor recruitment to vessels, and generation of lineage-specific oligoclonal structures that are the main production sites for immature cells are key features of the anatomy of blood production. This structural organization is extremely durable and resilient to insults as it was maintained after hemorrhage, Listeria monocytogenes infection, and aging (80-weeks). Importantly, this anatomy is also enabled with local plasticity as production sites for each blood lineage selectively expand/contract in respond to insults followed by a return to homeostasis. We used immunophenotyping to identify fifty-six surface markers that can be combined to image any populations of interest. For example, we found that ESAM is selectively expressed in 100% of LT-HSC, 90% of ST-HSC, 70% of MPP2 and MPP3, 30% of MPP4, 10% of CMP, and 90% of MkP and megakaryocytes but absent in more mature cells. Transplantation experiments revealed that all functional LT- and ST-HSC, MPP2, MPP3 and CMP were contained -exclusively- in the ESAM positive fraction (p<0.05 when compared with ESAM- cells n= 7 mice per group). ESAM + MPP4 displayed 5-fold more engraftment than ESAM - MPP4 (p<0.05). Combining ESAM with classical HSPC markers allowed imaging of all LT-HSC, ST-HSC, MkP, Pre-MegE, MPP2 and a mixed population of MPP3, CMP and MPP4. We developed similar strategies to map erythropoiesis (Pre-MegE → Pre-CFU-E → CFU-E → early erythroblast → late erythroblast → reticulocyte → erythrocyte) and lymphopoiesis (CLP→ PreProB → ProB →PreB→ Immature B). All strategies allowed clonal fate-mapping using Ubc-cre ERT2:confetti mice. In this model tamoxifen treatment leads to irreversible expression of one out of four fluorescent proteins. We found that multipotent and oligopotent progenitors are found as single cells, evenly distributed through the marrow (e.g. mean LT-HSC distance to closest ST-HSC, MPP2, MPP3, MkP, Pre-MegE >100 μm, no different from random simulations, n=41 LT-HSC from 5 sternum sections of 4 wild-type mice) and are clonally unrelated between them. Multipotent and oligopotent progenitors reside near sinusoids (mean distance =9.7 μm) but this association is not different from that observed for random cells. In contrast, as progenitors become lineage-restricted, they localize to arterioles (for lymphoid progenitors) or sinusoids (all other progenitors) where they enter oligoclonal structures that are the main production sites for immature cells in each lineage. Each production site has distinct architectures: lymphoid sites are characterized by tight clusters of PreProB cells surrounding CLP; erythroid sites are characterized by strings of 4-21 CFU-E decorating the surface of sinusoids with early erythroblasts differentiating orthogonally to the vessel surface; in megakaryocyte sites one or two megakaryocyte progenitors produce megakaryocytes that decorate blood vessels over large (>200μm 3) marrow regions. We previously showed that production sites for neutrophils contain 1 or 2 granulocyte progenitors tightly clustered with preneutrophils and that sites for monocytes/dendritic cells contain loose clusters of dendritic cells surrounding monocyte dendritic cell progenitors (Zhang Nature 2021). This spatial architecture is durable and resilient and is maintained after acute challenge via phlebotomy, L. monocytogenes infection, or physiological aging (80-week-old mice). However, we also observed plasticity of production sites. Two days after phlebotomy we found increases in erythroid site numbers (368 vs 945 per mm 3, p<0.05). These expansions were reversed by day 8 after phlebotomy. Similarly, infection led to increases in the size of neutrophil and dendritic cell production sites (~2-fold by day 6 post-infection) but these changes are reverted by day 20 post-infection. In summary, we have developed strategies that allow imaging of differentiation in situ and defined a complex - but durable and plastic- anatomy for the hematopoietic tissue. Disclosures No relevant conflicts of interest to declare.

Blood ◽  
2020 ◽  
Vol 136 (Supplement 1) ◽  
pp. 38-39
Author(s):  
Jizhou Zhang ◽  
Qingqing Wu ◽  
Courtney Johnson ◽  
Giang Pham ◽  
Jeremy M. Kinder ◽  
...  

In contrast to virtually all other tissues in the body the anatomy of differentiation in the bone marrow remains unknown. This is due to the lack of strategies to examine blood cell production in situ, which are required to better understand differentiation, lineage commitment decisions, and to define how spatial organizing cues inform tissue function. We developed approaches to image and fate map -using confetti mice- myelopoiesis in situ and generated 3D atlases of granulocyte and monocyte/dendritic cell differentiation during homeostasis and after emergency myelopoiesis induced by infection with Listeria monocytogenes. Figure 1 shows stepwise differentiation during myelopoiesis. We have found that -in imaging studies- CD11b-Ly6C-CD117+CD115+ cells are MDP; Lin-CD117+CD16/32+CD115- cells are GMP; CD11b-Ly6C+CD117+CD115+ are MOP; CD11b-CD117+CD115-Ly6C+ are GP; CD11b+CD115+Ly6Chi and CD11b+CD115+Ly6Clo cells are Ly6Chi and Ly6Clo monocytes; and MHCIIhi reticular cells are dendritic cells (DC). We used these markers to map every myeloid cell in the sternum and assessed the relationships between myeloid progenitors, their offspring and candidate niches in situ with single cell resolution. To test whether the interactions observed were specific we obtained the X, Y and Z coordinates for every hematopoietic cell in the sternum (detected using αCD45 and αTer119). We then used these coordinates to randomly place each type of myeloid cell, at the same frequencies found in vivo, through the BM to generate random distributions for each myeloid cell type. We found that myeloid progenitors do not localize with HSC indicating that they leave the HSC niche during differentiation. In the steady-state GP, MOP, and MDP are found as single cells that do not associate with each other indicating that granulo-, mono-, and dendritic cell-poiesis take place in different location. Myeloid progenitors are specifically recruited to sinusoids but are depleted near endosteum and arterioles (e.g. mean MDP distance to sinusoids, arterioles, and endosteum observed 5, 134, and 105μm vs 9, 86, and 69µm in the random simulation). GP form clusters with preneutrophils and immature neutrophils, in situ fate mapping demonstrated that these clusters are oligoclonal and that additional GP are serially recruited to the cluster as the old ones differentiate. Ly6Clo monocytes and dendritic cells are selectively enriched near MDP (2.0 DC and 4.4 Ly6Clo monocytes observed within 50µm of an MDP vs 0.9 DC and 1.8 Ly6Clo monocytes in the random simulation p=0.02 and p<0.0001). Fate mapping experiments demonstrated that the monocytes around MOP and monocytes and dendritic cells around the MDP are oligoclonal but are not the derived from the MOP/MDP they associate with. These indicate that Ly6Clo monocytes and DC are produced elsewhere but are then selectively recruited to regions enriched in MDP. The results above suggest that different sinusoids might be responsible for supporting different myeloid lineages. We found that dendritic cells localize to a unique subset (8% of all vessels) of colony stimulating factor 1 (CSF1, the major regulator of monopoiesis) -expressing sinusoids. Csf1 deletion in the vasculature disrupted MDP interaction with sinusoids, leading to reduced MDP numbers and differentiation ability, with subsequent loss of Ly6Clo monocytes and dendritic cells. L. monocytogenes infection dramatically changed the architecture of myelopoiesis and caused massive expansion of myeloid progenitors leading to the formation of monoclonal GP clusters and oligoclonal MOP clusters whereas MDP are still found as single cells associated with dendritic cells. Even after this massive insult granulopoiesis and mono/DC poiesis remained spatially segregated to different sinusoids. Csf1 deletion in the vasculature prevented generation of MDP and dendritic cells in response to infection. In summary we have developed strategies to image and fate map myelopoiesis in situ; revealed spatial segregation of -and distinct clonal architectures for- granulopoiesis and mono/DCpoiesis; and identified rare CSF1+ sinusoids that maintain mono/DCpoiesis in the steady-state and after infection. These data indicate that there is a specific spatial organization of definitive hematopoiesis and that local cues produced by distinct blood vessels are responsible for this organization. Figure Disclosures No relevant conflicts of interest to declare.


Oncogene ◽  
2021 ◽  
Author(s):  
Francesca Alfei ◽  
Ping-Chih Ho ◽  
Wan-Lin Lo

AbstractThe exploitation of T cell-based immunotherapies and immune checkpoint blockade for cancer treatment has dramatically shifted oncological treatment paradigms and broadened the horizons of cancer immunology. Dendritic cells have emerged as the critical tailors of T cell immune responses, which initiate and coordinate anti-tumor immunity. Importantly, genetic alterations in cancer cells, cytokines and chemokines produced by cancer and stromal cells, and the process of tumor microenvironmental regulation can compromise dendritic cell–T cell cross-talk, thereby disrupting anti-tumor T cell responses. This review summarizes how T cell activation is controlled by dendritic cells and how the tumor microenvironment alters dendritic cell properties in the context of the anti-tumor immune cycle. Furthermore, we will highlight therapeutic options for tailoring dendritic cell-mediated decision-making in T cells for cancer treatment.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Chandra Chiappin Cardoso ◽  
Camila Matiollo ◽  
Carolina Hilgert Jacobsen Pereira ◽  
Janaina Santana Fonseca ◽  
Helder Emmanuel Leite Alves ◽  
...  

AbstractLiver cirrhosis is often complicated by an immunological imbalance known as cirrhosis-associated immune dysfunction. This study aimed to investigate disturbances in circulating monocytes and dendritic cells in patients with acute decompensation (AD) of cirrhosis. The sample included 39 adult cirrhotic patients hospitalized for AD, 29 patients with stable cirrhosis (SC), and 30 healthy controls (CTR). Flow cytometry was used to analyze monocyte and dendritic cell subsets in whole blood and quantify cytokines in plasma samples. Cirrhotic groups showed higher frequencies of intermediate monocytes (iMo) than CTR. AD patients had lower percentages of nonclassical monocytes than CTR and SC. Cirrhotic patients had a profound reduction in absolute and relative dendritic cell numbers compared with CTR and showed higher plasmacytoid/classical dendritic cell ratios. Increased plasma levels of IL-6, IL-10, and IL-17A, elevated percentages of CD62L+ monocytes, and reduced HLA-DR expression on classical monocytes (cMo) were also observed in cirrhotic patients. Patients with more advanced liver disease showed increased cMo and reduced tissue macrophages (TiMas) frequencies. It was found that cMo percentages greater than 90.0% within the monocyte compartment and iMo and TiMas percentages lower than 5.7% and 8.6%, respectively, were associated with increased 90-day mortality. Monocytes and dendritic cells are deeply altered in cirrhotic patients, and subset profiles differ between stable and advanced liver disease. High cMo and low TiMas frequencies may be useful biomarkers of disease severity and mortality in liver cirrhosis.


2013 ◽  
Vol 87 (14) ◽  
pp. 7816-7827 ◽  
Author(s):  
R. Shivakoti ◽  
M. Siwek ◽  
D. Hauer ◽  
K. L. W. Schultz ◽  
D. E. Griffin

1986 ◽  
Vol 163 (4) ◽  
pp. 981-997 ◽  
Author(s):  
G Kraal ◽  
M Breel ◽  
M Janse ◽  
G Bruin

An mAb, NLDC-145, is described that specifically reacts with a group of nonlymphoid dendritic cells including Langerhans cells (LC), veiled cells (VC), and interdigitating cells (IDC). The antibody does not react with precursor cells in bone marrow and blood. Macrophages are not stained by the antibody, but a subpopulation of Ia+ peritoneal exudate cells is recognized. Possible relationships of the various nonlymphoid dendritic cell (NLDC) types are discussed.


2003 ◽  
Vol 14 (8) ◽  
pp. 3378-3388 ◽  
Author(s):  
Nicole N. van der Wel ◽  
Masahiko Sugita ◽  
Donna M. Fluitsma ◽  
Xaiochun Cao ◽  
Gerty Schreibelt ◽  
...  

The maturation of dendritic cells is accompanied by the redistribution of major histocompatibility complex (MHC) class II molecules from the lysosomal MHC class II compartment to the plasma membrane to mediate presentation of peptide antigens. Besides MHC molecules, dendritic cells also express CD1 molecules that mediate presentation of lipid antigens. Herein, we show that in human monocyte-derived dendritic cells, unlike MHC class II, the steady-state distribution of lysosomal CD1b and CD1c isoforms was unperturbed in response to lipopolysaccharide-induced maturation. However, the lysosomes in these cells underwent a dramatic reorganization into electron dense tubules with altered lysosomal protein composition. These structures matured into novel and morphologically unique compartments, here termed mature dendritic cell lysosomes (MDL). Furthermore, we show that upon activation mature dendritic cells do not lose their ability of efficient clathrin-mediated endocytosis as demonstrated for CD1b and transferrin receptor molecules. Thus, the constitutive endocytosis of CD1b molecules and the differential sorting of MHC class II from lysosomes separate peptide- and lipid antigen-presenting molecules during dendritic cell maturation.


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