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Chong, S.

Publications and source records attributed to Chong, S..

11 recordsLinked to original sources

A Bispecific Biologic That Robustly Reverses HIV-1 and SIV Latency

Antiretroviral therapy suppresses HIV-1 replication but cannot eliminate the latent viral reservoir persisting in memory CD4 T cells. Existing latency reversal candidates have yet to achieve robust viral reactivation at tolerable doses. We engineered T4IL15{triangleup}, a bispecific biologic that selectively delivers IL-15 signaling to memory CD4 T cells, with minimal off-target stimulation. T4IL15{triangleup} reactivated latent virus in 94% (48/51) of clinical samples ex vivo, 75% (15/20) of administrations in HIV-1-infected and ART-suppressed humanized mice, and 100% (6/6) of SIV-infected and ART-suppressed rhesus macaques at doses well tolerated. We also found that off-target stimulation of non-CD4 cells hindered HIV-1 reactivation ex vivo. T4IL15{triangleup} provides a robust reactivation platform that could complement other reservoir-elimination strategies toward an HIV-1 cure.

microbiology↗

A Monoclonal Antibody Panel to Track Ongoing Antigenic Evolution of SARS-CoV-2 Variants

SARS-CoV-2 continues to evolve, generating successive variants with enhanced resistance to antibody-mediated neutralization. However, many existing monoclonal antibody (mAb) repertoires were derived from exposures to ancestral or early Omicron strains and thus incompletely capture the antigenic landscape of newly emerging strains. Here, we generated a mAb panel by immunizing naive, unimprinted VelocImmune humanized mice with spike from the KP.3.1.1 variant, and isolated and characterized 11 neutralizing antibodies targeting diverse epitopes of recently evolved antigenic variants. We then integrated these antibodies with previously characterized mAbs to establish an expanded toolbox for profiling antigenic evolution among emerging variants. Application of this panel to currently emerging SARS-CoV-2 variants provided mechanistic insight into recent antigenic evolution, highlighting the potential role of altered receptor-binding domain conformation. Our data also revealed clear differences in antibody-evasion profiles between JN.1-derived lineages and BA.3.2 lineages. Together, our findings establish an updated mAb panel for monitoring SARS-CoV-2 antigenic evolution.

microbiology↗

A Panel of Human Monoclonal Antibodies for Tracking the Antigenic Evolution of Influenza H5N1 Clade 2.3.4.4b

The ongoing panzootic of clade 2.3.4.4b H5N1 influenza has resulted in widespread infection of birds, mammals, and livestock, underscoring the need for tools to interpret its real-time evolution. Here, we describe the isolation and characterization of a panel of 19 human monoclonal antibodies that potently neutralize current isolates. Competition immunoassays and cryo-electron microscopy analyses revealed their collective near-complete epitope coverage of the H5-hemagglutinin surface. Neutralization profiling across multiple historical and contemporary H5 viruses defined their epitope-specific patterns of virus neutralization. One cluster of antibodies potently neutralized only clade 2.3.4.4b viruses, while many others exhibited broadly neutralizing activity against diverse H5N1 clades. Application of this structurally calibrated antibody panel to recent North American human isolates revealed genotype-specific antigenic divergence between lineages that have spread among cattle (B3.13) and poultry (D1.1). Together, the findings of this study establish a structurally grounded antibody reference panel spanning major vulnerable sites of H5 hemagglutinin and provide a toolbox for interpreting emergent mutations, monitoring ongoing antigenic drift, and anticipating the evolutionary trajectory of circulating H5N1 influenza viruses.

microbiology↗

Dynamic regulation of endogenous transcription factor hubs at single-molecule resolution

Eukaryotic transcription factors (TFs) form local, high-concentration hubs at specific genomic loci through dynamic, multivalent protein-protein interactions mediated by their low-complexity domains. The hub formation behavior plays an essential role in TFs transcriptional activation activities. Characterizing the dimensions, dynamics, and regulation of TF hubs requires high-resolution imaging of TFs in their native cellular environment, but much of such biophysical characterization remains missing. Here, we combined CRISPR/Cas9-mediated genome editing and advanced quantitative cell imaging, including single-molecule microscopy, to investigate the dynamic behaviors of the endogenous oncogenic fusion TF EWS::FLI1 in Ewing sarcoma cells. We found that endogenous EWS::FLI1 forms dynamic, sub-diffraction-limit hubs with mechanisms of dissolution that prevent the hubs from achieving macroscopic liquid-liquid phase separation. Hub formation is a neomorphic behavior of EWS::FLI1 that is not directly conferred by its parental proteins, EWSR1 and FLI1. We found that during mitosis, EWS::FLI1 hubs dissolve, but EWS::FLI1 molecules continue to dynamically bind and unbind mitotic chromosomes, revealing a role of EWS::FLI1 in mitotic bookmarking. Nascent RNA destabilizes EWS::FLI1 hubs on chromatin, but it does not affect the dimensions of the hubs. Finally, we visualized endogenous EWS::FLI1 hubs upon treatment with various compounds that were previously indicated to affect EWS::FLI1 function. We found that LY2835219 and trabectedin significantly alter the nuclear distribution of endogenous EWS::FLI1, disrupting and mislocalizing EWS::FLI1 hubs, respectively. This finding highlights the therapeutic potential of both compounds for Ewing sarcoma. Together, our results reveal new insights into the assembly and regulation of endogenous EWS::FLI1 hubs at an unprecedented resolution. The methodology developed here will be useful for characterizing the functional hubs of many regular and pathological TFs in the future.

biophysics↗

Determining Multivalent Interactomes of Intrinsically Disordered Proteins in Phase-Separated Condensates in Live Cells

Many intrinsically disordered protein regions (IDRs) can form liquid-liquid phase separation (LLPS) condensates via multivalent interactions, but how the interaction behaviors contribute to specific cellular functions remains unclear due to the unknown composition of the condensates. Here, we report phase-separation-induced interactome detection (PhaseID), a new method that determines the protein components within the LLPS condensates driven by any given IDR in live human cells. Using PhaseID, we demonstrated that transactivation IDRs each have unique multivalent interactomes, thereby executing transactivation through distinct pathways. In-depth analyses of PhaseID-determined IDR interactomes revealed that LLPS tunes the interaction selectivity of IDRs, enabling them to play new roles in specific cellular processes, and different LLPS condensates recruit proteins with distinct physicochemical properties encoded in their sequences.

molecular biology↗

Genomic Landscape of Patients with Germline RUNX1 Variants and Familial Platelet Disorder with Myeloid Malignancies in a Natural History Study

Germline RUNX1 mutations lead to familial platelet disorder with associated myeloid malignancies (FPDMM), which is characterized by thrombocytopenia and a life-long risk (35-45%) of hematological malignancies. We recently launched a longitudinal natural history study for patients with FPDMM at the NIH Clinical Center. Among 29 families with research genomic data, 28 different germline RUNX1 variants were detected. Besides missense mutations enriched in Runt homology domain and loss-of-function mutations distributed throughout the gene, splice-region mutations and large deletions were detected in 6 and 7 families, respectively. In 24 of 54 (44.4%) non-malignant patients, somatic mutations were detected in at least one of the clonal hematopoiesis of indeterminate potential (CHIP) genes or acute myeloid leukemia (AML) driver genes. BCOR was the most frequently mutated gene (in 9 patients), and multiple BCOR mutations were identified in 4 patients. Mutations in 7 other CHIP or AML driver genes (DNMT3A, TET2, NRAS, SETBP1, SF3B1, KMT2C, and LRP1B) were also found in more than one non-malignant patient. Moreover, three unrelated patients (one with myeloid malignancy) carried somatic mutations in NFE2, which regulates erythroid and megakaryocytic differentiation. Sequential sequencing data from 19 patients demonstrated dynamic changes of somatic mutations over time, and stable clones were more frequently found in elderly patients. In summary, there are diverse types of germline RUNX1 mutations and high frequency of somatic mutations related to clonal hematopoiesis in patients with FPDMM. Monitoring dynamic changes of somatic mutations prospectively will benefit patients clinical management and reveal mechanisms for progression to myeloid malignancies. Key PointsO_LIComprehensive genomic profile of patients with FPDMM with germline RUNX1 mutations. C_LIO_LIRising clonal hematopoiesis related secondary mutations that may lead to myeloid malignancies. C_LI

genomics↗

Hormone-induced enhancer assembly requires an optimal level of hormone receptor multivalent interactions

Transcription factors (TFs) activate enhancers to drive cell-specific gene programs in response to signals, but our understanding of enhancer assembly during signaling events is incomplete. Here, we show that Androgen Receptor (AR), a steroid hormone-regulated transcription factor, forms condensates through multivalent interactions in response to androgen signaling to orchestrate enhancer assembly. We demonstrate that the intrinsically disordered N-terminal domain (NTD) of AR drives 1,6-Hexanediol-sensitive condensate formation and that NTD deletion or aromatic residue mutation reduces AR self-association and abolishes AR transcriptional activity. AR NTD can be substituted by intrinsically disordered regions (IDRs) from selective proteins for AR condensation capacity and transactivation function. Surprisingly, strengthened AR condensation capacity caused by extending the polyQ tract within AR NTD also leads to impaired transcriptional activity without affecting AR binding on enhancers. Furthermore, either NTD deletion or polyQ extension reduces heterotypic multivalent interactions between AR and other enhancer components. These results suggest the importance of an optimal level of AR condensation in mediating AR-AR homotypic and AR-cofactor heterotypic interactions to regulate enhancer assembly in response to signals. Our study supports the notion that alteration of the fine-tuned multivalent IDR-IDR interactions might underlie AR-related human pathologies, thereby providing novel molecular insights for potential therapeutic strategies to treat prostate cancer and other AR-involved diseases by targeting AR multivalent interactions.

molecular biology↗

Fixation Can Change the Appearance of Phase Separation in Living Cells

Fixing cells with paraformaldehyde (PFA) is an essential step in numerous biological techniques as it is thought to preserve a snapshot of biomolecular transactions in living cells. Fixed cell imaging techniques such as immunofluorescence have been widely used to detect liquid-liquid phase separation (LLPS) in vivo. Here, we compared images, before and after fixation, of cells expressing intrinsically disordered proteins that are able to undergo LLPS. Surprisingly, we found that PFA fixation can both enhance and diminish putative LLPS behaviors. For specific proteins, fixation can even cause their droplet-like puncta to artificially appear in cells that do not have any detectable puncta in the live condition. Fixing cells in the presence of glycine, a molecule that modulates fixation rates, can reverse the fixation effect from enhancing to diminishing LLPS appearance. We further established a kinetic model of fixation in the context of dynamic protein-protein interactions. Simulations based on the model suggest that protein localization in fixed cells depends on an intricate balance of protein-protein interaction dynamics, the overall rate of fixation, and notably, the difference between fixation rates of different proteins. Consistent with simulations, live-cell single-molecule imaging experiments showed that a fast overall rate of fixation relative to protein-protein interaction dynamics can minimize fixation artifacts. Our work reveals that PFA fixation changes the appearance of LLPS from living cells, presents a caveat in studying LLPS using fixation-based methods, and suggests a mechanism underlying the fixation artifact.

cell biology↗

Robust and durable prophylactic protection conferred by RNA interference in preclinical models of SARS-CoV-2

RNA interference is a natural antiviral mechanism that could be harnessed to combat SARS-CoV-2 infection by targeting and destroying the viral genome. We screened lipophilic small-interfering RNA (siRNA) conjugates targeting highly conserved regions of the SARS-CoV-2 genome and identified leads targeting outside of the spike-encoding region capable of achieving [≥]3-log viral reduction. Serial passaging studies demonstrated that a two-siRNA combination prevented development of resistance compared to a single-siRNA approach. A two-siRNA combination delivered intranasally protected Syrian hamsters from weight loss and lung pathology by viral infection upon prophylactic administration but not following onset of infection. Together, the data support potential utility of RNAi as a prophylactic approach to limit SARS-CoV-2 infection that may help combat emergent variants, complement existing interventions, or protect populations where vaccines are less effective. Most importantly, this strategy has implications for developing medicines that may be valuable in protecting against future coronavirus pandemics.

pharmacology and toxicology↗

Tuning levels of low-complexity domain interactions to modulate endogenous oncogenic transcription

Gene activation by mammalian transcription factors (TFs) requires dynamic, multivalent, and selective interactions of their intrinsically disordered low-complexity domains (LCDs), but how such interactions mediate transcription remains unclear. It has been proposed that extensive LCD-LCD interactions culminating in liquid-liquid phase separation (LLPS) of TFs is the dominant mechanism underlying transactivation. Here, we investigated how tuning the amount and localization of LCD-LCD interactions in vivo affects transcription of endogenous human genes. Quantitative single-cell and single-molecule imaging reveals that the oncogenic TF EWS/FLI1 requires a finely tuned range of LCD-LCD interactions to efficiently activate target genes. Modest or more dramatic increases in LCD-LCD interactions toward putative LLPS repress EWS/FLI1-driven transcription in patient cells. Likewise, ectopically creating LCD-LCD interactions to sequester EWS/FLI1 into a bona fide LLPS compartment, the nucleolus, inhibits EWS/FLI1-driven transcription and oncogenic transformation. Our findings reveal fundamental principles underlying LCD-mediated transcription and suggest mislocalizing specific LCD-LCD interactions as a novel therapeutic strategy for targeting disease-causing TFs.

molecular biology↗

Dynamic and Selective Low-Complexity Domain Interactions Revealed by Live-Cell Single-Molecule Imaging

Many eukaryotic transcription factors (TFs) contain intrinsically disordered low-complexity domains (LCDs) but how they perform transactivation functions remains unclear. Recent studies report that TF-LCDs can undergo hydrogel formation or liquid-liquid phase separation in vitro. Here, live-cell single-molecule imaging reveals that TF-LCDs form local high concentration interaction hubs at synthetic and endogenous genomic loci. TF-LCD hubs stabilize DNA binding, recruit RNA polymerase II (Pol II) and activate transcription. LCD-LCD interactions within hubs are highly dynamic, display selectivity with binding partners, and are differentially sensitive to disruption by hexanediols. These findings suggest that under physiological conditions, rapid reversible and multivalent LCD-LCD interactions occur between TFs and the Pol II machinery, which underpins a central mechanism for transactivation and plays a key role in gene expression and disease.

biophysics↗