scholarly journals Identification of two distinct pathways of human myelopoiesis

2019 ◽  
Vol 4 (35) ◽  
pp. eaau7148 ◽  
Author(s):  
Roy Drissen ◽  
Supat Thongjuea ◽  
Kim Theilgaard-Mönch ◽  
Claus Nerlov

Human myelopoiesis has been proposed to occur through oligopotent common myeloid progenitor (CMP) and lymphoid-primed multipotent progenitor (LMPP) populations. However, other studies have proposed direct commitment of multipotent cells to unilineage fates, without specific intermediary lineage cosegregation patterns. We here show that distinct human myeloid progenitor populations generate the neutrophil/monocyte and mast cell/basophil/eosinophil lineages as previously shown in mouse. Moreover, we find that neutrophil/monocyte potential selectively cosegregates with lymphoid lineage and mast cell/basophil/eosinophil potentials with megakaryocyte/erythroid potential early during lineage commitment. Furthermore, after this initial commitment step, mast cell/basophil/eosinophil and megakaryocyte/erythroid potentials colocalize at the single-cell level in restricted oligopotent progenitors. These results show that human myeloid lineages are generated through two distinct cellular pathways defined by complementary oligopotent cell populations.

Rheumatology ◽  
2021 ◽  
Author(s):  
Barbora Schonfeldova ◽  
Kristina Zec ◽  
Irina A Udalova

Abstract Despite extensive research, there is still no treatment that would lead to remission in all patients with rheumatoid arthritis as our understanding of the affected site, the synovium, is still incomplete. Recently, single-cell technologies helped to decipher the cellular heterogeneity of the synovium; however, certain synovial cell populations, such as endothelial cells or peripheral neurons, remain to be profiled on a single-cell level. Furthermore, associations between certain cellular states and inflammation were found; whether these cells cause the inflammation remains to be answered. Similarly, cellular zonation and interactions between individual effectors in the synovium are yet to be fully determined. A deeper understanding of cell signalling and interactions in the synovium is crucial for a better design of therapeutics with the goal of complete remission in all patients.


2006 ◽  
Vol 107 (2) ◽  
pp. 176-181 ◽  
Author(s):  
Friderike Blumenthal-Barby ◽  
Alf Hamann ◽  
Katja Klugewitz

2019 ◽  
Author(s):  
Daniel B. Burkhardt ◽  
Jay S. Stanley ◽  
Alexander Tong ◽  
Ana Luisa Perdigoto ◽  
Scott A. Gigante ◽  
...  

Abstract Current methods for comparing scRNA-seq datasets collected in multiple conditions focus on discrete regions of the transcriptional state space, such as clusters of cells. Here, we quantify the effects of perturbations at the single-cell level using a continuous measure of the effect of a perturbation across the transcriptomic space. We describe this space as a manifold and develop a relative likelihood estimate of observing each cell in each of the experimental conditions using graph signal processing. This likelihood estimate can be used to identify cell populations specifically affected by a perturbation. We also develop vertex frequency clustering to extract populations of affected cells at the level of granularity that matches the perturbation response. The accuracy of our algorithm to identify clusters of cells that are enriched or depleted in each condition is on average 57% higher than the next best-performing algorithm tested. Gene signatures derived from these clusters are more accurate compared to six alternative algorithms in ground-truth comparisons.


2010 ◽  
Vol 6 (4) ◽  
pp. 361-368 ◽  
Author(s):  
Christopher B. Franco ◽  
Ching-Cheng Chen ◽  
Micha Drukker ◽  
Irving L. Weissman ◽  
Stephen J. Galli

Author(s):  
Dominik Schnerch ◽  
Marie Follo ◽  
Julia Felthaus ◽  
Monika Engelhardt ◽  
Ralph Wäsch

The Analyst ◽  
2017 ◽  
Vol 142 (9) ◽  
pp. 1482-1491 ◽  
Author(s):  
Luis Polo-Parada ◽  
Gerardo Gutiérrez-Juárez ◽  
David Cywiak ◽  
Rafael Pérez-Solano ◽  
Gary A. Baker

The widely held notion that melanin-containing cells are uniform in both size and optical characteristics is demonstrably false.


2018 ◽  
Author(s):  
Longqi Liu ◽  
Chuanyu Liu ◽  
Andrés Quintero ◽  
Liang Wu ◽  
Yue Yuan ◽  
...  

AbstractIntegrative analysis of multi-omics layers at single cell level is critical for accurate dissection of cell-to-cell variation within certain cell populations. Here we report scCAT-seq, a technique for simultaneously assaying chromatin accessibility and the transcriptome within the same single cell. We show that the combined single cell signatures enable accurate construction of regulatory relationships between cis-regulatory elements and the target genes at single-cell resolution, providing a new dimension of features that helps direct discovery of regulatory patterns specific to distinct cell identities. Moreover, we generated the first single cell integrated maps of chromatin accessibility and transcriptome in human pre-implantation embryos and demonstrated the robustness of scCAT-seq in the precise dissection of master transcription factors in cells of distinct states during embryo development. The ability to obtain these two layers of omics data will help provide more accurate definitions of “single cell state” and enable the deconvolution of regulatory heterogeneity from complex cell populations.


Blood ◽  
2005 ◽  
Vol 106 (11) ◽  
pp. 1723-1723
Author(s):  
Cristina Pina ◽  
Tariq Enver

Abstract Human cord blood-derived CD133+G0 cells are a primitive population highly enriched in hematopoietic stem cells (HSC). We used this population to investigate the molecular characteristics of primitive human HSC, and, in particular, to unveil how different cell fates of quiescence, self-renewal and lineage commitment and differentiation are regulated at the molecular level. We isolated cord blood CD133+ cells in the G0 and G1 compartments of the cell cycle on the basis of low or high RNA content, respectively, as detected by Pyronin Y staining. More than 98% of the CD133+G0 cells were Ki67-negative, and at least 90% did not express CD38, thus confirming the quiescent and primitive status of the cells. Consistent with earlier findings showing that CD133+G0 cells have the highest reported frequency of LTC-IC (1), our quiescent population presented a significantly higher frequency of LTC-IC when compared to CD133+G1 cells. We further showed that CD133+G0 cells had significantly higher colony-forming capacity in progenitor assays and a higher CFU-Mix content. Initial RT-PCR analysis revealed that while both compartments express the erythroid marker beta-globin, myeloid MPO and lymphoid IL7R can only be observed in CD133+G1 cells. This suggests a hierarchy of commitment decisions in relation to cell cycle that places the erythroid signature upstream of myelo-lymphoid differentiation and may be in agreement with revised models of the hematopoietic differentiation tree recently proposed in mouse (2). This hypothesis is currently being assessed at the single-cell level. We next compared the overall gene expression programmes of CD133+G0 and G1 populations using global profiling. Consistent with the sorting criteria, CD133+G1-enriched transcripts have a comparatively higher frequency of cell cycle, protein synthesis and RNA processing, and metabolism-associated genes, which underlines the robustness of the data. The CD133+G1 population is associated with a lymphoid signature, including immunoglobulin heavy and light chains, and the SLAM family member CD48, which is consistent with the revised hierarchy of commitment decisions discussed above. Functional categories comparatively over-represented amongst CD133+G0-enriched genes include transcriptional regulation and signal transduction, suggesting that primitive quiescent HSC are ready to respond to a variety of cues that modulate alternative fate decisions. Since the transcriptional profile of a given population of cells may not reflect the transcriptional profile of each individual cell, we are currently analyzing the expression patterns of CD133+G0-enriched transcription factors (TF) at the single-cell level. This approach may help define subpopulations of cells with unique molecular signatures and suggest functional subcompartments within an otherwise heterogeneous population of primitive hematopoietic cells.


2017 ◽  
Vol 140 (2) ◽  
pp. 497-509.e10 ◽  
Author(s):  
Régis Joulia ◽  
Fatima-Ezzahra L'Faqihi ◽  
Salvatore Valitutti ◽  
Eric Espinosa

2016 ◽  
Author(s):  
Stefan Semrau ◽  
Johanna Goldmann ◽  
Magali Soumillon ◽  
Tarjei S. Mikkelsen ◽  
Rudolf Jaenisch ◽  
...  

ABSTRACTGene expression heterogeneity in the pluripotent state of mouse embryonic stem cells (mESCs) has been increasingly well-characterized. In contrast, exit from pluripotency and lineage commitment have not been studied systematically at the single-cell level. Here we measured the gene expression dynamics of retinoic acid driven mESC differentiation using an unbiased single-cell transcriptomics approach. We found that the exit from pluripotency marks the start of a lineage bifurcation as well as a transient phase of susceptibility to lineage specifying signals. Our study revealed several transcriptional signatures of this phase, including a sharp increase of gene expression variability. Importantly, we observed a handover between two classes of transcription factors. The early-expressed class has potential roles in lineage biasing, the late-expressed class in lineage commitment. In summary, we provide a comprehensive analysis of lineage commitment at the single cell level, a potential stepping stone to improved lineage control through timing of differentiation cues.


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