Hematopoietic Lineage Diversification, Simplified

Drissen, Roy; Nerlov, Claus

doi:10.1016/j.stem.2016.07.010

Cited by 3 publications

(2 citation statements)

References 12 publications

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“…In multiple online databases, we found that IL5RA, LY9, SLAMF7, and ICAM1, biomarkers of the haematopoietic cell lineage pathway, were significantly correlated with metastasis and prognosis in patients with STS. The haematopoietic cell lineage pathway is a complex renewal and differentiation process of blood cells, in which haematopoietic stem cells (HSCs) differentiate into common lymphoid progenitors (CLPs) and common myeloid progenitors (CMPs), ultimately promoting the lymphoid lineage and the myeloid lineage, respectively [51,52]. Defects in the haematopoietic cell lineage pathway reportedly contribute to malignant cell transformation [53,54].…”

Section: Discussionmentioning

confidence: 99%

Targeting Lymphotoxin Beta and Paired Box 5: a potential therapeutic strategy for soft tissue sarcoma metastasis

et al. 2021

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Background Soft tissue sarcomas (STS) has a high rate of early metastasis. In this study, we aimed to uncover the potential metastasis mechanisms and related signaling pathways in STS with differentially expressed genes and tumor-infiltrating cells. Methods RNA-sequencing (RNA-seq) of 261 STS samples downloaded from the Cancer Genome Atlas (TCGA) database were used to identify metastasis-related differentially expressed immune genes and transcription factors (TFs), whose relationship was constructed by Pearson correlation analysis. Metastasis-related prediction model was established based on the most significant immune genes. CIBERSORT algorithm was performed to identify significant immune cells co-expressed with key immune genes. The GSVA and GSEA were performed to identify prognosis-related KEGG pathways. Ultimately, we used the Pearson correlation analysis to explore the relationship among immune genes, immune cells, and KEGG pathways. Additionally, key genes and regulatory mechanisms were validated by single-cell RNA sequencing and ChIP sequencing data. Results A total of 204 immune genes and 12 TFs, were identified. The prediction model achieved a satisfactory effectiveness in distant metastasis with the Area Under Curve (AUC) of 0.808. LTB was significantly correlated with PAX5 (P < 0.001, R = 0.829) and hematopoietic cell lineage pathway (P < 0.001, R = 0.375). The transcriptional regulatory pattern between PAX5 and LTB was validated by ChIP sequencing data. Conclusions We hypothesized that down-regulated LTB (immune gene) modulated by PAX5 (TF) in STSs may have the capability of inducing cancer cell metastasis in patients with STS.

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Section: Discussionmentioning

confidence: 99%

Targeting Lymphotoxin Beta and Paired Box 5: a potential therapeutic strategy for soft tissue sarcoma metastasis

et al. 2021

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“…Cell differentiation has been studied in great molecular detail, and some conceptual underpinnings have started to emerge, for example, during differentiation the ability to express different gene expression programs is gradually restricted and the potency reduced. 4,5 In recent times, single-cell RNA-seq and other profiling studies are revealing a more complex picture. It appears that many multipotent and pluripotent cell populations are heterogeneous in terms of surface markers and gene expression profiles.…”

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confidence: 99%

Bi‐stability of the master gene regulatory network of the common dendritic precursor cell: Implications for cell differentiation

Nandi

Banik

et al. 2020

IUBMB Life

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In cell lineage commitment decisions, a gene regulatory network (GRN) consisting of a limited number of transcription factors forms the regulatory pivot. Myeloid lineage dendritic cells or DCs are specialized cells having the antigen‐presenting ability and are of immense importance in immune surveillance. In this report, we analyze the GRN that governs the lineage commitment of Common DC Progenitor (CDP) cells to conventional dendritic cells (cDC) and plasmacytoid dendritic cells (pDC). We have analyzed the quantitative behavior of the master regulatory circuit of CDP that governs the lineage commitment. Simulations showed that the GRN displays a bi‐stable behavior within a range of parameter values. Several transcription factors, PU.1, IRF8, Flt3, and Stat3, whose concentrations vary significantly in the two steady states, appear to be the key players. We hypothesize that the two stable steady states are precursors of cDC and pDC, and the variation of concentration of these key transcription factors in the two states may be responsible for early events in lineage commitment.

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A fish cytokine related to human IL-3, IL-5, and GM-CSF, induces development of eosinophil/basophil/mast-cell type (EBM) granulocytes

Nishiya

Sawada

Dijkstra

et al. 2020

Developmental & Comparative Immunology

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Hematopoietic Lineage Diversification, Simplified

Cited by 3 publications

References 12 publications

Targeting Lymphotoxin Beta and Paired Box 5: a potential therapeutic strategy for soft tissue sarcoma metastasis

Targeting Lymphotoxin Beta and Paired Box 5: a potential therapeutic strategy for soft tissue sarcoma metastasis

Bi‐stability of the master gene regulatory network of the common dendritic precursor cell: Implications for cell differentiation

A fish cytokine related to human IL-3, IL-5, and GM-CSF, induces development of eosinophil/basophil/mast-cell type (EBM) granulocytes

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