Biology subjects

Biancon, G.

Publications and source records attributed to Biancon, G..

6 recordsLinked to original sources

bioRxiv2025

RBM15-MKL1 fusion protein promotes leukemia via m6A methylation and WNT pathway activation

Acute megakaryoblastic leukemia driven by the RBM15-MKL1 fusion protein (RM-AMKL) is the only known recurrent mutation involving the N6-methyladenosine (m6A) writer complex. Dysregulation of m6A modification affects RNA fate and is linked to oncogenesis. Inhibition of m6A deposition via inhibition of the METTL3 writer protein has anti-tumour activity, but the mechanism underlying its efficacy and cancer specificity remains unclear. We treated murine RM-AMKL cells with a novel METTL3 inhibitor, STM3675, and showed apoptosis in vitro and prolonged survival of mice transplanted with RM-AMKL, implicating m6A as an essential component of AMKL and identifying Wnt signalling as a key driver of leukemogenesis. To elucidate the mechanism by which m6A contributes to leukemogenesis we employed a multi-omic approach, combining transcriptome-wide assessment of RNA binding, methylation and turnover. We show for the first time that RM retains the RNA-binding and m6A-modifiying functions of its RBM15 component, while also selectively regulating distinct mRNA targets, particularly genes involved in Wnt signalling including Frizzled. Frizzled genes are upregulated by RM and downregulated in RM-AMKL cells in response to METTL3 inhibition, providing an m6A-dependent explanation for their upregulation. Direct Frizzled knockdown reduced RM-AMKL growth, which was partially rescued by treatment with a {beta}-catenin agonist, underscoring a functional role of Wnt signalling in RM-AMKL. Human AMKLs show elevated Wnt pathway and Frizzled gene expression, highlighting the relevance of our work. Together, our findings reveal that RM-specific m6A modifications and activation of Wnt signalling are critical drivers of RM-AMKL, highlighting these pathways as potential therapeutic targets. Key PointsO_LIRM retains functional abilities of RBM15 and additionally interacts with Wnt-related transcripts to increase expression of Fzd proteins. C_LIO_LIThe METTL3 writer complex and WNT signalling pathways are essential for RM-driven leukemia. C_LI

cancer biology↗

bioRxiv2024

An in vivo screen identifies NAT10 as a master regulator of brain metastasis

Metastasis is the major cause of cancer-related deaths. Emerging evidence has shown that epigenetic regulation plays a fundamental role in cancer metastasis. To better understand the epigenetic regulation of metastasis, we conducted an in vivo shRNA screen for vulnerabilities of brain metastasis and identified N-acetyltransferase 10 (NAT10) as a driver of brain metastasis. Knockdown of NAT10 significantly restrains cancer cell proliferation and migration in vitro, and tumor growth and brain metastasis in vivo. Structure-function analysis of NAT10 showed that its poorly characterized RNA helicase domain is critical for breast cancer cell growth in vitro, while its N-acetyltransferase domain is essential for primary tumor growth and brain metastasis in vivo. Integrative transcriptomic and proteomic analyses revealed key downstream effectors of NAT10, including PHGDH and PSAT1, two catalyzing enzymes for serine biosynthesis implicated in brain metastasis, and HSPA5, known to promote metastasis. We found that distant metastases of breast cancer, especially brain metastases express higher levels of NAT10, PHGDH, PSAT1, and HSPA5. Silencing PHGDH/PSAT1 or HSPA5 in metastatic breast cancer cells inhibits their ability to grow in the serine/glycine-limited condition or migrate, respectively, phenocopying the effects of NAT10 depletion. Moreover, NAT10 promotes the expression of PHGDH, PSAT1, and HSPA5 in its RNA helicase-dependent manner. These findings establish NAT10 as a master regulator of brain metastasis and shed light on the biological functions of its RNA helicase domain, nominating NAT10 as a target for treating metastatic diseases.

cancer biology↗

bioRxiv2024

Interpreting single-cell messages in normal and aberrant hematopoiesis with the Cell Marker Accordion

Single-cell technologies offer a unique opportunity to explore cellular heterogeneity in health and disease. However, reliable identification of cell types and states represents a bottleneck. Available databases and analysis tools employ dissimilar markers, leading to inconsistent annotations and poor interpretability. Furthermore, current tools focus mostly on physiological cell types, limiting their applicability to disease. We developed the Cell Marker Accordion, a user-friendly platform providing automatic annotation and unmatched biological interpretation of single-cell populations, based on consistency weighted markers. We validated our approach on multiple single-cell and spatial datasets from different human and murine tissues, improving annotation accuracy in all cases. Moreover, we show that the Cell Marker Accordion can identify disease-critical cells and pathological processes, extracting potential biomarkers in a wide variety of disease contexts. The breadth of these applications elevates the Cell Marker Accordion as a fast, flexible, faithful and standardized tool to annotate and interpret single-cell and spatial populations in studying physiology and disease.

bioinformatics↗

bioRxiv2022

Microfluidic immuno-serology assay revealed a limited diversity of protection against COVID-19 in patients with altered immunity

The immune response to SARS-CoV-2 for patients with altered immunity such as hematologic malignancies and autoimmune disease may differ substantially from that in general population. These patients remain at high risk despite wide-spread adoption of vaccination. It is critical to examine the differences at the systems level between the general population and the patients with altered immunity in terms of immunologic and serological responses to COVID-19 infection and vaccination. Here, we developed a novel microfluidic chip for high-plex immuno-serological assay to simultaneously measure up to 50 plasma or serum samples for up to 50 soluble markers including 35 plasma proteins, 11 anti-spike/RBD IgG antibodies spanning all major variants, and controls. Our assay demonstrated the quintuplicate test in a single run with high throughput, low sample volume input, high reproducibility and high accuracy. It was applied to the measurement of 1,012 blood samples including in-depth analysis of sera from 127 patients and 21 healthy donors over multiple time points, either with acute COVID infection or vaccination. The protein association matrix analysis revealed distinct immune mediator protein modules that exhibited a reduced degree of diversity in protein-protein cooperation in patients with hematologic malignancies and patients with autoimmune disorders receiving B cell depletion therapy. Serological analysis identified that COVID infected patients with hematologic malignancies display impaired anti-RBD antibody response despite high level of anti-spike IgG, which could be associated with limited clonotype diversity and functional deficiency in B cells and was further confirmed by single-cell BCR and transcriptome sequencing. These findings underscore the importance to individualize immunization strategy for these high-risk patients and provide an informative tool to monitor their responses at the systems level.

bioengineering↗

bioRxiv2021

Pre-mRNA Splicing Factor U2AF2 Recognizes Distinct Conformations of Nucleotide Variants at the Center of the pre-mRNA Splice Site Signal

The essential pre-mRNA splicing factor U2AF2 (also called U2AF65) identifies polypyrimidine (Py) tract signals of nascent transcripts, despite length and sequence variations. Previous studies have shown that the U2AF2 RNA recognition motifs (RRM1 and RRM2) preferentially bind uridine-rich RNAs. Nonetheless, the specificity of the RRM1/RRM2 interface for the central Py tract nucleotide has yet to be investigated. We addressed this question by determining crystal structures of U2AF2 bound to a cytidine, guanosine, or adenosine at the central position of the Py tract, and compared U2AF2-bound uridine structures. Local movements of the RNA site accommodated the different nucleotides, whereas the polypeptide backbone remained similar among the structures. Accordingly, molecular dynamics simulations revealed flexible conformations of the central, U2AF2-bound nucleotide. The RNA binding affinities and splicing efficiencies of structure-guided mutants demonstrated that U2AF2 tolerates nucleotide substitutions at the central position of the Py tract. Moreover, enhanced crosslinking and immunoprecipitation of endogenous U2AF2 in human erythroleukemia cells showed uridine-sensitive binding sites with lower sequence conservation at the central nucleotide positions of otherwise uridine-rich, U2AF2-bound splice sites. Altogether, these results highlight the importance of RNA flexibility for protein recognition and take a step towards relating splice site motifs to pre-mRNA splicing efficiencies.

biophysics↗

bioRxiv2021

Multi-omics profiling of U2AF1 mutants dissects pathogenic mechanisms affecting RNA granules in myeloid malignancies

Somatic mutations in splicing factors are of significant interest in myeloid malignancies and other cancers. U2AF1, together with U2AF2, is essential for 3 splice site recognition. U2AF1 mutations result in aberrant splicing, but the molecular mechanism and the full spectrum of consequences on RNA biology have not been fully elucidated to date. We performed multi-omics profiling of in vivo RNA binding, splicing and turnover for U2AF1 S34F and Q157R mutants. We dissected specific binding signals of U2AF1 and U2AF2 and showed that U2AF1 mutations individually alter U2AF1-RNA binding, resulting in defective U2AF2 recruitment. We demonstrated a complex relationship between differential binding and splicing, expanding upon the currently accepted loss-of-binding model. Finally, we observed that U2AF1 mutations increase the formation of stress granules in both cell lines and primary acute myeloid leukemia samples. Our results uncover U2AF1 mutation-dependent pathogenic RNA mechanisms and provide the basis for developing targeted therapeutic strategies.

cancer biology↗