Biology subjects

Muller-Tidow, C.

Publications and source records attributed to Muller-Tidow, C..

4 recordsLinked to original sources

bioRxiv2025

Dynamic Ribosomal RNA Methylation Regulates Translation in the Hematopoietic System and is Essential for Stem Cell Fitness

Self-renewal and differentiation are at the basis of hematopoiesis. While it is known that tight regulation of translation is vital for hematopoietic stem cells (HSCs) biology, the mechanisms underlying translation regulation across the hematopoietic system remain obscure. Here we reveal a novel mechanism of translation regulation in the hematopoietic hierarchy, which is mediated by ribosomal RNA (rRNA) methylation dynamics. Using ultra-low input ribosome-profiling, we characterized cell-type-specific translation capacity during erythroid differentiation. We found that translation efficiency changes progressively with differentiation and can distinguish between discrete cell populations as well as to define differentiation trajectories. To reveal the underlying mechanism, we performed comprehensive mapping of the most abundant rRNA modification - 2-O-methyl (2OMe). We found that, like translation efficiency, 2OMe dynamics followed a distinct trajectory during erythroid differentiation. Genetic perturbation of individual 2OMe sites demonstrated their distinct roles in modulating proliferation and differentiation. By combining CRISPR screening, molecular and functional analyses, we identified a specific methylation site, 28S-Gm4588, which is progressively lost during differentiation, as a key regulator of HSC self-renewal. We showed that low methylation at this site led to translational skewing, mediated mainly by codon frequency, which promoted differentiation. Functionally, HSCs with diminished 28S-Gm4588 methylation exhibited impaired self-renewal capacity ex-vivo, and loss of fitness in-vivo in bone marrow transplantations. Extending our findings beyond the hematopoietic system, we also found distinct dynamics of 2OMe profiles during differentiation of non-hematopoietic stem cells. Our findings reveal rRNA methylation dynamics as a general mechanism for cell-type-specific translation, required for cell function and differentiation. KEY POINTSO_LIHematopoietic differentiation is associated with rRNA methylation dynamics to control cell-type-specific translation. C_LIO_LITranslation efficiency can distinguish discrete cell types and define differentiation trajectories. C_LIO_LIHSC fitness is regulated by a single rRNA methylation. C_LI

molecular biology↗

bioRxiv2023

N-MYC regulates Cell Survival via eIF4G1 in inv(16) Acute Myeloid Leukemia

c-MYC and N-MYC are critical regulators of hematopoietic stem cell activity. While the role of c-MYC deregulation is studied in detail in hematological malignancies, the importance of N-MYC deregulation in leukemogenesis remains elusive. Here we demonstrate that N-MYC is overexpressed in acute myeloid leukemia (AML) cells with chromosome inversion inv(16) and crucial to the survival and maintenance of inv(16) leukemia. We identified a novel MYCN enhancer, active in multiple AML subtypes, essential for MYCN mRNA levels and survival in inv(16) AML cells. We also identified eukaryotic translation initiation factor 4 gamma 1 (eIF4G1) as a key N-MYC target that sustains leukemic survival in inv(16) AML cells. Ours is the first report to demonstrate the oncogenic role of eIF4G1 in AML. Our results reveal a mechanism whereby N-MYC drives a leukemic transcriptional program and provide a rationale for the therapeutic targeting of the N-MYC/eIF4G1 axis in myeloid leukemia.

cancer biology↗

bioRxiv2023

DNMT3A clonal hematopoiesis-driver mutations induce cardiac fibrosis by paracrine activation of fibroblasts

Hematopoietic mutations in epigenetic regulators like DNA methyltransferase 3 alpha (DNMT3A) drive clonal hematopoiesis of indeterminate potential (CHIP) and are associated with adverse prognosis in patients with heart failure (HF). The interactions between CHIP-mutated cells and other cardiac cell types remain unknown. Here, we identify fibroblasts as potential interaction partners of CHIP-mutated monocytes using combined transcriptomic data from peripheral blood mononuclear cells of HF patients with and without CHIP and the cardiac tissue. We demonstrate that CHIP augments macrophage-to-cardiac fibroblasts interactions. Mechanistically, the secretome of DNMT3A-silenced monocytes leads to myofibroblast activation, partially through epidermal growth factor (EGFR) signaling. Harboring DNMT3A CHIP-driver mutations is associated with increased cardiac interstitial fibrosis in mice and patients, and, thereby, may contribute to the poor outcome. These findings not only identify a novel pathway of DNMT3A CHIP-driver mutation-induced instigation and progression of HF, but may also provide a rationale for the development of new anti-fibrotic strategies. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=118 SRC="FIGDIR/small/521766v1_ufig1.gif" ALT="Figure 1"> View larger version (28K): org.highwire.dtl.DTLVardef@10a365aorg.highwire.dtl.DTLVardef@176807borg.highwire.dtl.DTLVardef@ed3f47org.highwire.dtl.DTLVardef@1d572b2_HPS_FORMAT_FIGEXP M_FIG C_FIG

physiology↗

bioRxiv2021

Single-cell proteo-genomic reference maps of the hematopoietic system enable the purification and massive profiling of precisely defined cell states

Single-cell genomics has transformed our understanding of complex cellular systems. However, excessive costs and a lack of strategies for the purification of newly identified cell types impede their functional characterization and large-scale profiling. Here, we have generated high content single-cell proteo-genomic reference maps of human blood and bone marrow that quantitatively link the expression of up to 197 surface markers to cellular identities and biological processes across all major hematopoietic cell types in healthy aging and leukemia. These reference maps enable the automatic design of cost-effective high-throughput cytometry schemes that outperform state-of-the-art approaches, accurately reflect complex topologies of cellular systems, and permit the purification of precisely defined cell states. The systematic integration of cytometry and proteo-genomic data enables measuring the functional capacities of precisely mapped cell states at the single-cell level. Our study serves as an accessible resource and paves the way for a data-driven era in cytometry.

immunology↗