Biology subjects

Nguyen, H.

Publications and source records attributed to Nguyen, H..

At least 55 records · Page 3Linked to original sources

bioRxiv2025

CHAMP1 Complex Promotes Heterochromatin Assembly and Reduces Replication Stress

Replication stress is a major driver of genomic instability and a hallmark of cancer cells. Although dynamic heterochromatin remodeling has been implicated in replication stress response, the precise mechanisms remain unclear. Here, we identify the CHAMP1 complex, composed of CHAMP1, POGZ, HP1, and the H3K9 methyltransferase SETDB1, as a critical regulator of heterochromatin assembly at stalled replication forks. Upon replication stress, the CHAMP1 complex is recruited to stalled forks where it facilitates H3K9me3 deposition, creating a repressive chromatin environment that shields replication forks from MRE11-mediated degradation. The complex promotes the recruitment of the origin recognition complex (ORC) to sites of replication stress, such as the telomeric heterochromatin in alternative lengthening of telomeres (ALT)-positive tumor cells, thereby supporting efficient telomeric DNA replication. Loss of CHAMP1 disrupts ORC2 recruitment and impairs fork restart, leading to increased micronuclei formation and heightened sensitivity to replication stress. Notably, CHAMP1 deficiency induces synthetic lethality with FANCM inhibition in ALT-positive tumor cells, and the CHAMP1 complex is essential for the survival of CCNE1-amplified ovarian cancers. These findings uncover a chromatin-based mechanism of replication fork stabilization and suggest that CHAMP1 may represent a candidate therapeutic vulnerability in cancers with elevated replication stress.

molecular biology↗

bioRxiv2025

Maturation of Dorsal Association Tracts during Preadolescence Links to Concurrent and Future Cognitive Performance and Transdiagnostic Psychopathology

Many psychiatric disorders begin during adolescence, coinciding with the rapid development of brain white matter (WM). However, it remains unclear whether deviations from normal WM maturation during this age period contribute to the development of psychopathology. In this study, we developed and validated normative models of brain age based on specific WM tracts using three large-scale developmental datasets (a total of [~]10,000 subjects). We found that tract-specific deviations in WM development of association and limbic/subcortical systems were linked to concurrent cognition and psychopathology. The spatial pattern of the association system aligned closely with distributions of high-order brain networks, and with mitochondrial content and respiratory capacity. The maturation of the association system contributed significantly to better cognitive performance assessed two or three years later. Importantly, delayed WM development especially in dorsal association tracts predicted psychiatric disorders across diagnoses and disorder onset over a 2-year follow-up. By identifying tract-specific WM development during preadolescence as a predictor of cognitive capacity and psychiatric disorder risks, this study provides a valuable framework for tracking individualized brain maturation and understanding the neurobiological underpinnings of cognitive performance and transdiagnostic psychopathology.

neuroscience↗

bioRxiv2025

Specificity of Aberrant Exons in a Saturated Background of Differentially Expressed Exons

Determining the maximal specificity of aberrant exons from multifactorial disease tissues in a whole body background could provide insights into the exon origin as well as potential targets of diagnosis or therapy, but it remains a challenging task. For this purpose, we obtained a saturated list of differentially expressed exons (DEXs) from our independent reference human exome extracted from 56 normal tissues by DEXSeq. We found that the DEXs comprised the majority of the reference exome and that 99.4% of cancer-specific exons relative to paired normal tissues fell within the DEX list, consistent with the ectopic expression of the majority of aberrant exons. We then screened over seven thousand pathogenic single nucleotide variants (SNVs) in the TCGA and COSMIC databases by SpliceAI. The analysis identified over three hundreds of highly confident, mostly somatic SNV-specific splicing events and/or novel exonic fragments in five types of adenocarcinomas. Interestingly, these events are all associated with cis-acting mutations in tumor suppressor genes, particularly in TP53 with an antigenic novel peptide. This revelation of the DEX exome dominance and non-specificity of nearly all aberrant exons not only reshapes our understanding of the normal human exome by highlighting its mainly variable over constitutive exons, but also illuminates the path through cis-acting somatic and pathogenic SNVs to identify genuine cancer-specific exonic fragments that are absent in any normal tissues, beyond neo-exon junctions. This path holds promise for identifying novel peptide fragments for antigens in holistic cancer treatments including vaccination and immunotherapies.

cancer biology↗

bioRxiv2025

OmnibusX: A unified platform for accessible multi-omics analysis

OmnibusX is an integrated, privacy-centric platform that enables code-free multi-omics data analysis by bridging computational methodologies with user-friendly interfaces. Designed to overcome challenges posed by fragmented analytical tools and high computational barriers, OmnibusX consolidates workflows for diverse technologies - including bulk RNA-seq, single-cell RNA-seq, single-cell ATAC-seq, and spatial transcriptomics - into a single, cohesive application. The application integrates established open-source tools such as Scanpy, DESeq2, SciPy, and scikit-learn into transparent, reproducible pipelines, offering users control over analytical parameters. Additionally, OmnibusX features proprietary modules, including a highly accurate cell-type prediction engine and an interactive plotting editor for generating publication-quality visualizations. Available as a standalone desktop application and an enterprise edition for centralized server deployment, OmnibusX ensures all data processing is conducted locally, eliminating external data transfer and usage tracking. By lowering technical barriers and enhancing reproducibility, OmnibusX aims to accelerate biological discovery and foster robust, data-driven collaborations. A fully documented trial version is accessible at: https://omnibusx.com/apps.

bioinformatics↗

bioRxiv2025

Disruption of Microhomology-mediated End-joining in Ewing Sarcoma

Ewing sarcoma (EwS) is a group of bone and soft tissue cancers in children and young adults. Since EwS cells have pronounced sensitivity to radiation and chemotherapy-induced DNA damage, the role of the oncoprotein, EWS-FLI1, in DNA repair is likely. Here, we demonstrate that EWS-FLI1 causes a defect in microhomology-mediated end-joining (MMEJ) repair. EWSR1 is a splicing factor that promotes the faithful splicing of the POLQ pre-mRNA, required for the expression of POL{Theta}, a critical protein in the MMEJ pathway. Expression of EWS-FLI1, or loss of EWSR1, causes exon 25 skipping of the POLQ transcript, decreased POL{Theta} expression, impaired MMEJ, and cellular sensitivity to inhibitors of the Fanconi Anemia (FA), NHEJ, or HR pathways, through the mechanism of synthetic lethality. Knockdown of EWS-FLI1 expression restores POL0 mitotic foci and increases MMEJ activity. Inhibitors of the FA, NHEJ, or HR therefore may provide a targeted therapy for patients with EwS. Highlights- Ewing sarcoma tumors have a deficiency in POL{theta} expression and a corresponding loss of MMEJ activity - EWSR1 is a splicing factor that interacts with other splicing factors such as FUBP1 and KHSRP/FUBP2 to accurately splice the POLQ mRNA. - The EWS-FLI1 fusion oncoprotein, or loss of EWSR1, causes a splicing defect, leading to exon25 skipping of the POLQ pre-mRNA and loss of POL{theta} expression - The MMEJ deficiency of EwS cells results in cellular sensitivity to inhibitors of Fanconi Anemia, Homologous Recombination or Non-Homologous End-Joining - Exon 25 skipping of POLQ mRNA is a predictive biomarker for HR inhibitors in human cancers

cancer biology↗

bioRxiv2025

Exploring the C(2)M Cohesin Complex: Structure, Dynamics, and Ability to Facilitate Assembly of the Synaptonemal Complex

There are two meiotic cohesin pathways that regulate synaptonemal complex (SC) assembly in Drosophila. We previously proposed that C(2)M, which is required for SC assembly, is the only meiosis-specific component of a complex that includes Stromalin (SA), Nipped-B, SMC1 and SMC3. This model also predicts that specific residues within the C-terminus and N-terminus of C(2)M should interact with SMC1 and SMC3 to form a ring structure that may regulate the ability of C(2)M to facilitate SC assembly. Through mutant analysis, our results show several residues known to interact with SMC1 or SMC3 are critical for SC formation, suggesting that C(2)M may require a ring structure to perform meiosis-specific functions such as the formation of SC. We also show that SA colocalizes with and depends on C(2)M. However, the dynamics of C(2)M differ from SA and the SMCs in a way that suggests C(2)M regulates the dynamics and chromosome loading of the other cohesin proteins SMC1 and SA. Consistent with this conclusion, our results suggest that C(2)M can promote chromosome localization of the other cohesin components, and can induce SC assembly when ectopically expressed in germline mitotic cells.

genetics↗

bioRxiv2025

VN1K: a genome graph-based and function-driven multi-omics and phenomics resource for the Vietnamese population

Vietnam, the 16th most populated nation, remains profoundly underrepresented in global genomic databases. Here, we present VN1K, a first-ever comprehensive and well-curated resource of multi-omics data with a wide-range of phenotypic information of 1,011 unrelated Vietnamese individuals. High-depth short-read whole-genome sequencing data were generated for all samples along with various - omic data, including microarray, long-read whole-genome sequencing, and RNA sequencing. Using a high-sensitivity variant detection pipeline, which included a pangenome graph reference and a deep-learning framework, we identified nearly 40 million variants of which 8.5 million are novel with nearly 900 thousand short insertions/deletions and 39 thousand structural variants. Specifically, VN1K featured a first-ever whole-genome methylation profile based on long read sequencing. A genotype imputation panel was also created with the highest accuracy on the Vietnamese population. Variants with significantly different allele frequencies in the Vietnamese population compared to others were found to be functionally significant, especially in genes associated with immune diseases (HLA-B, KIR3DL3, KIR2DL1, KIR2DL4) or drug responses (CYP2C19, CYP2D6, VKORC1, CYP2B6). We were also able to map various loci related to hepatitis B virus infection as well as six disease traits, including triglyceride levels, LDL-C, serum glucose levels, HbA1c, and levels of two liver enzymes (ALT and AST). VN1K dataset is accessible via genome.vinbigdata.org, an integrated platform with both linear and graph-based genome browser for facilitating data exploration, research, and applications in precision medicine.

genomics↗

bioRxiv2025

Designed NGF mimetics with reduced nociceptive signatures in neurons

The clinical use of Nerve Growth Factor (NGF) for neuronal regeneration has been hampered by pain sensitization side effects. NGF signals through the receptor tyrosine kinase TrkA and the co-receptor p75NTR; pain sensitization is thought to involve p75NTR. We sought to overcome this limitation by de novo design of a TrkA agonist that does not bind p75NTR. We designed homodimeric TrkA engaging constructs that dimerize TrkA subunits in a variety of geometries, and identified those eliciting the strongest signaling. The resulting designed agonists are able to stimulate transdifferentiated neurons and neuroblastoma cell lines, leading to neurite outgrowth and neuronal differentiation, with considerably reduced transcription of inflammation and pain related genes. These agonists are promising candidates for promoting neuronal regeneration without adverse side effects. HighlightsO_LIDe novo designed TrkA agonists activate MAPK and PI3K-AKT signaling C_LIO_LIRigid fusions allow for highly tunable signaling signatures C_LIO_LITrkA agonists lead to neurite outgrowth in neuroblastoma cells comparable to retinoic acid C_LIO_LIModulation of the TrkA pathway without co-stimulating p75NTR leads to a downregulation of inflammatory and nociceptive signature in neurons. C_LI Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=107 SRC="FIGDIR/small/648806v1_ufig1.gif" ALT="Figure 1"> View larger version (32K): org.highwire.dtl.DTLVardef@c48066org.highwire.dtl.DTLVardef@c9c5a7org.highwire.dtl.DTLVardef@cf8ebdorg.highwire.dtl.DTLVardef@a4345a_HPS_FORMAT_FIGEXP M_FIG C_FIG

biochemistry↗

bioRxiv2025

Tahoe-100M: A Giga-Scale Single-Cell Perturbation Atlas for Context-Dependent Gene Function and Cellular Modeling

Building predictive models of the cell requires systematically mapping how perturbations reshape each cells state, function, and behavior. Here, we present Tahoe-100M, a giga-scale single-cell atlas of 100 million transcriptomic profiles measuring how each of 1,100 small-molecule perturbations impact cells across 50 cancer cell lines. Our high-throughput Mosaic platform, composed of a highly diverse and optimally balanced "cell village", reduces batch effects and enables parallel profiling of thousands of conditions at single-cell resolution at an unprecedented scale. As the largest single-cell dataset to date, Tahoe-100M enables artificial-intelligence (AI)-driven models to learn context-dependent functions, capturing fundamental principles of gene regulation and network dynamics. Although we leverage cancer models and pharmacological compounds to create this resource, Tahoe-100M is fundamentally designed as a broadly applicable perturbation atlas and supports deeper insights into cell biology across multiple tissues and contexts. By publicly releasing this atlas, we aim to accelerate the creation and development of robust AI frameworks for systems biology, ultimately improving our ability to predict and manipulate cellular behaviors across a wide range of applications.

genomics↗

bioRxiv2025

Deep Learning-based Framework for Mycobacterium tuberculosis Bacterial Growth Detection for Antimicrobial Susceptibility Testing

Tuberculosis (TB) kills more people annually than any other pathogen. Resistance is an ever-increasing global problem, not least because diagnostics remain challenging and access limited. 96-well broth microdilution plates offer one approach to high-throughput phenotypic testing, but they can be challenging to read. Automated Mycobacterial Growth Detection Algorithm (AMyGDA) is a software package that uses image processing techniques to read plates, but struggles with plates that exhibit low growth or images of low quality. We developed a new framework, TMAS (TB Microbial Analysis System), which leverages state-of-the-art deep learning models to detect M. tuberculosis growth in images of 96-well microtiter plates. TMAS is designed to measure Minimum Inhibitory Concentrations (MICs) rapidly and accurately while differentiating between true bacterial growth and artefacts. Using 4,018 plate images from the CRyPTIC (Comprehensive Resistance Prediction for Tuberculosis: An International Consortium) dataset to train models and refine the framework, TMAS achieved an essential agreement of 98.8%. TMAS offers a reliable, automated and complementary evaluation to support expert interpretation, potentially improving accuracy and efficiency in tuberculosis drug susceptibility testing (DST). Author summaryTuberculosis (TB) is one of the worlds leading causes of death from infectious diseases, with drug resistance making treatment increasingly difficult. Accurate and timely drug susceptibility testing (DST) is essential to determine which antibiotics remain effective against a given TB strain. A widely used DST method involves 96-well broth microdilution plates, where bacteria are exposed to different antibiotic concentrations to determine the minimum inhibitory concentration (MIC), the lowest concentration that fully prevents bacterial growth. However, manually interpreting these plates is time-consuming and prone to human error, while existing automated methods often struggle with imaging artifacts such as condensation, shadows, and contamination. In this study, we developed the Tuberculosis Microbial Analysis System (TMAS), a machine learning-based tool designed to automate MIC determination from plate images. Training on advanced deep learning models, TMAS can learn to detect bacterial growth with high precision, distinguishing true growth from artefacts such as shadows, bubbles, sediment, condensation and contamination. When tested on a large dataset, TMAS outperformed existing automated methods in accuracy, reliability and efficiency. By reducing the reliance on manual interpretation, TMAS has the potential to streamline TB diagnostics, improve efficiency in laboratories, and improve access to high-quality DST, particularly in resource-limited settings.

microbiology↗

bioRxiv2025

Key residue Unlocks Dual PIP2-Dependent and Independent Gating in G Protein-Gated Inwardly Rectifying Potassium Channels

G protein-gated inwardly rectifying potassium (GIRK) channels mediate membrane hyperpolarization in response to G protein-coupled receptor activation and are critical for regulating neuronal excitability. The membrane phospholipid phosphatidylinositol 4,5-bisphosphate (PIP2) is essential for regulating a large family of ion channels, and disruptions in PIP2 interactions contribute to some neurological diseases. Structural analyses have identified key residues in PIP2-mediated gating of the GIRK2 channel. Notably, Arginine-92 (R92), a highly conserved basic residue at the membrane interface in GIRK2, interacts with PIP2 as well as cholesteryl hemisuccinate (CHS), a potentiator of GIRK2. Here, we used a combination of electrophysiological assays, fluorescent K+ flux measurements, cryo-electron microscopy, and molecular dynamics simulations, and find that mutations at R92 (Y, F, and Q) not only alter PIP2 sensitivity but can also reveal a novel gating mechanism that is independent of PIP2. These findings indicate that R92 plays a crucial role in modulating GIRK2 channel gating, offering new insights into developing potential therapeutic targets for treating neurological disorders linked to GIRK channel dysfunction.

biophysics↗

bioRxiv2024

CHAMP1 complex directs heterochromatin assembly and promotes homology-directed DNA repair

The CHAMP1 complex, a little-known but highly conserved protein complex consisting of CHAMP1, POGZ, and HP1, is enriched in heterochromatin though its cellular function in these regions of the genome remain unknown. Here we show that the CHAMP complex promotes heterochromatin assembly at multiple chromosomal sites, including centromeres and telomeres, and promotes homology-directed repair (HDR) of DNA double strand breaks (DSBs) in these regions. The CHAMP1 complex is also required for heterochromatin assembly and DSB repair in highly-specialized chromosomal regions, such as the highly-compacted telomeres of ALT (Alternative Lengthening of Telomeres) positive tumor cells. Moreover, the CHAMP1 complex binds and recruits the writer methyltransferase SETDB1 to heterochromatin regions of the genome and is required for efficient DSB repair at these sites. Importantly, peripheral blood lymphocytes from individuals with CHAMP1 syndrome, an inherited neurologic disorder resulting from heterozygous mutations in CHAMP1, also exhibit defective heterochromatin clustering and defective repair of local DSBs, suggesting that a defect in DNA repair underlies this syndrome. Taken together, the CHAMP1 complex has a novel role in heterochromatin assembly and the enhancement of HDR in heterochromatin.

molecular biology↗

bioRxiv2024

Optimization of rearing Transeius montdorensis under laboratory conditions

The global application of Transeius montdorensis (Acari: Phytoseiidae) as a biological control agent across various protected crops has proven effective against a range of insect pests like thrips and whiteflies, as well as pest mites like broad mites and russet mites. Optimization of rearing T. montdorensis under laboratory conditions is crucial for further studies of this species to improve their application in Integrated Pest Management (IPM) programs. Here, we evaluated the development and reproduction of T. montdorensis when fed on four different diets, including cattail pollen (Typha latifolia), living dried fruit mites (Carpoglyphus lactis), frozen C. lactis eggs, and a mixed diet of frozen C. lactis eggs and T. latifolia pollen. Females consuming the mixed diet exhibited superior total fecundity and daily oviposition rate, along with the highest intrinsic rate of increase (rm) and net productive rate (R0) among all diets tested. The immature period was significantly longer for mites on a diet of living C. lactis compared to those on other diets. Importantly, utilizing frozen C. lactis eggs and T. latifolia pollen mitigates the risk of infestation and contamination from the living dried fruit mites, which is important for laboratory and field settings when releasing the predator colonies. Our findings not only present an optimized rearing method for predatory mites under laboratory conditions but also suggest potential broader applications for enhancing the effectiveness and sustainability of biological control strategies across various agroecosystems and reducing dependency on chemical pesticides.

zoology↗

bioRxiv2024

Functional MRI reveals regional changes of brain activity after five days of focal high-density theta burst stimulation (hdTBS) of the rat brain

BackgroundThe therapeutic effects of transcranial magnetic stimulation (TMS) likely stem from neuroplasticity induced by repeated sessions over time. While animal models offer insights into TMS-induced plasticity, a rodent model that faithfully replicates prolonged TMS conditions in humans is still lacking. Objective/HypothesisDevelop a rat model that mimics the spatial and temporal patterns of TMS in humans. MethodsExperiments were conducted on two cohorts of healthy adult rats (N=33). In cohort 1, rats underwent surgical implantation of microelectrodes for motor evoked potential (MEP) recording. With a rodent-specific coil and the high-density theta burst stimulation (hdTBS) paradigm, under awake condition, rats received daily TMS at 100% motor threshold for five days (days 1-5) to the hindlimb motor cortex. Cortical excitability was measured by input-output (I-O) curves on Day 0 (pre-hdTBS baseline) and Day 6 (post-hdTBS). The second cohort received identical TMS and underwent fMRI to map cerebral blood volume (CBV) on Days 0 and 6. ResultsDaily hdTBS session for 5 days significantly up-shifted I-O curves only in the TMS group (N=9), not in the sham group (N=7), indicating enhanced cortical excitability. fMRI data showed that, compared to sham group (N=9), rats receiving hdTBS (N=8) had increased basal CBV in several brain regions proximal and distal to the stimulation site, suggesting enhanced basal metabolism. Conclusion(s)Daily hdTBS session for 5 days focally delivered to the motor cortex of naive rats significantly altered basal brain activity in a network of brain regions, opening a novel platform for further investigating TMS-induced plasticity.

neuroscience↗

bioRxiv2024

Spindle morphology changes between meiosis and mitosis driven by CK2 regulation of the Ran pathway

The transition from meiotic divisions in the oocyte to embryonic mitoses is a critical step in animal development. Despite negligible changes to cell size and shape, following fertilization the small, barrel-shaped meiotic spindle is replaced by a large zygotic spindle that nucleates abundant astral microtubules at spindle poles. To probe underlying mechanisms, we applied a drug screening approach using Ciona eggs and found that inhibition of Casein Kinase 2 (CK2) caused a shift from meiotic to mitotic-like spindle morphology with nucleation of robust astral microtubules, an effect reproduced in cytoplasmic extracts prepared from Xenopus eggs. In both species, CK2 activity decreased at fertilization. Phosphoproteomic differences between Xenopus meiotic and mitotic extracts that also accompanied CK2 inhibition pointed to RanGTP-regulated factors as potential targets. Interfering with RanGTP-driven microtubule formation suppressed astral microtubule growth caused by CK2 inhibition. These data support a model in which CK2 activity attenuation at fertilization leads to activation of RanGTP-regulated microtubule effectors that induce mitotic spindle morphology.

cell biology↗

bioRxiv2024

Macrophage-derived CCL24 promotes fibrosis and worsens cardiac dysfunction during heart failure

Inflammation is a significant risk factor and contributes to cardiovascular disease by driving both adaptive and maladaptive processes. Macrophages are the most abundant immune cells in the heart and play an important role in the remodeling of cardiac tissue. We have previously shown an overall protective function of resident cardiac macrophages after pressure-overloaded injury. However, a subpopulation of resident macrophages also expresses high levels of the profibrotic CC motif chemokine ligand 24 (CCL24), suggesting a dichotomous role in pressure overload-induced cardiac remodeling. Here, we report that following transverse aortic constriction CCL24 knockout (CCL24 KO) mice have improved systolic function, cardiac wall enlargement, as well as increased myocyte surface area and hypertrophy, suggesting that CCL24 disrupts compensatory hypertrophy. TAC-operated CCL24 KO mice also displayed reduced fibrosis and diminished expression of fibrotic genes, implying a pro-fibrotic role for CCL24. Indeed, CCL24 induced the proliferation and activation of primary mouse fibroblasts in a process that required CCR3, the sole G protein-coupled receptor for CCL24. Correspondingly, selective ablation of CCR3 in fibroblasts improved cardiac function and ameliorated fibrosis following pressure overload. Administration of a CCL24 blocking antibody or a CCR3 antagonist both improved cardiac function in pressure-overloaded mice, highlighting the CCL24-CCR3 axis as a potential therapeutic target for heart failure. Finally, CCL24 deficiency improved cardiac function and ameliorated fibrosis during physiological aging. Overall, these results show that macrophage-derived CCL24 aggravates fibrosis via the CCR3 receptor, leading to impaired cardiac function in acute and chronic heart failure.

immunology↗

bioRxiv2024

Chromatin remodeling with combined FACT and BET inhibition disrupts oncogenic transcription in Diffuse Midline Glioma

Aberrant epigenetic regulation is a hallmark of Diffuse Midline Glioma (DMG), an incurable pediatric brain tumor. The H3K27M driver histone mutation leads to transcriptional dysregulation, indicating that targeting the epigenome and transcription may be key therapeutic strategies against this highly aggressive cancer. One such target is the Facilitates Chromatin Transcription (FACT) histone chaperone. We found FACT to be enriched at developmental gene promoters, coinciding with regions of open chromatin and binding motifs of core DMG regulatory transcription factors. Furthermore, FACT interacted and co-localized with the Bromodomain and Extra-Terminal Domain (BET) protein BRD4 at promoters and enhancers, suggesting functional cooperation between FACT and BRD4 in DMG. In vitro, a combinatorial therapeutic approach using the FACT inhibitor CBL0137, coupled with BET inhibition revealed potent and synergistic cytotoxicity across a range of DMG cultures. These results were recapitulated in vivo, significantly extending survival in three independent orthotopic PDX models of DMG. Mechanistically, we show that CBL0137 treatment decreased chromatin accessibility, synergizing with BET inhibition to cause broad transcriptional collapse, silencing several key oncogenes including MYC, PDGFRA, MDM4 and SOX2, as well as causing alterations to the splicing landscape. Notably, this combination also elicited immune-related effects, including activation of the interferon response and antigen presentation mechanisms in DMG cells and induction of an activated state in macrophages and T cells, as demonstrated in an immunocompetent setting with spatial transcriptomics. Altogether, our data highlights the therapeutic promise of simultaneously targeting FACT and BET proteins in DMG, offering a dual tumor-intrinsic and immune-mediated strategy for combating this devastating pediatric brain tumor.

cancer biology↗

bioRxiv2024

The Folding of Germ Granule mRNAs Controls Intermolecular Base Pairing in Germ Granules and Maintains Normal Fly Development

Drosophila germ granules enrich mRNAs critical for fly development. Within germ granules, mRNAs form multi-transcript clusters marked by increased mRNA concentration, creating an elevated potential for intermolecular base pairing. However, the type and abundance of intermolecular base pairing in mRNA clusters is poorly characterized. Using single-molecule super-resolution microscopy, chemical probing for base accessibility, phase separation assays, and simulations, we demonstrated that mRNAs remain well-folded upon localization to germ granules. While most base pairing is intramolecular, mRNAs still display the ability for intermolecular base pairing, facilitating clustering without high sequence complementarity or significant melting of secondary structure. This base pairing among mRNAs is driven by scattered and discontinuous stretches of bases appearing on the surface of folded RNAs, providing multivalency to clustering but exhibits low probability for sustained interactions. Notably, engineered germ granule mRNAs with exposed GC-rich complementary sequences (CSs) presented within stable stem loops induce sustained base pairing in vitro and enhanced intermolecular interactions in vivo. However, the presence of these stem loops alone disrupts fly development, and the addition of GC-rich CSs exacerbates this phenotype. Although germ granule mRNAs contain numerous GC-rich CSs capable of stable intermolecular base pairing, they are primarily embedded by RNA folding. This study emphasizes the role of RNA folding in controlling the type and abundance of intermolecular base pairing, thereby preserving the functional integrity of mRNAs within the germ granules.

molecular biology↗