Biology subjects

Ryu, B.

Publications and source records attributed to Ryu, B..

4 recordsLinked to original sources

bioRxiv2025

Heartbeat-like dynamics drives oxygen activation in methane monooxygenase

Soluble methane monooxygenase (sMMO) is an enzyme that hydroxylates methane (CH4), a potent greenhouse gas, at non-heme di-iron active sites under atmospheric conditions. The regulatory component (MMOB) is essential for the catalytic activity of hydroxylase (MMOH) as it induces conformational changes in the active site and facilitating substrate ingress. Recent advances in cryogenic electron microscopy (cryo-EM) have enabled us to elucidate the high resolution picture of sMMO catalytic mechanism. We describe the 2.85 [A] cryo-EM structure of MMOH-MMOB, with one equivalent of MMOB bound to MMOH (H-1B), which is in contrast with previously solved crystal structures. MMOB allosterically regulates the MMOH protomer ({beta}{gamma}) and induces conformational changes that propagate from the surface to the di-iron coordination site. The N-terminal region of the MMOH {beta}-subunit (NT-H{beta}) stabilizes helices essential for iron coordination and oxygen activation. The MMOB-bound protomer (HBA, {beta}{gamma}B) presents the first structural report of a 2.7 [A] Fe{middle dot}{middle dot}{middle dot}Fe distance, while the non-MMOB-bound protomer (HBB, {beta}{gamma}) and MMOH display a 3.1 [A] distance. The coordination of Fe-ligands is maintained by the structural stabilization provided by the {beta}- and {gamma}-subunits of MMOH. This novel cryo-EM structure reveals new coordination environments, offering crucial mechanistic insights into sMMO catalysis.

biochemistry↗

bioRxiv2024

The CoREST-complex regulates MYC stability and promotes post-transcriptional mRNA splicing in melanoma

The CoREST complex is a multi-subunit epigenetic regulator implicated in histone modification and transcriptional repression, but its role in tumorigenesis is not well-defined. Here, we show that the CoREST complex directly interacts with and stabilizes the MYC oncoprotein in cancer cells through site-specific deacetylation of lysine residues, primarily mediated by HDAC1/2. These modifications protect MYC from proteasomal degradation independently of transcriptional regulation, maintaining high MYC protein levels in cancer cells. Transcriptomic analysis reveals that the CoREST-mediated MYC stabilization activates transcription of genes critical for DNA replication and mitotic chromosome segregation, and enhances melanoma cell viability. These findings suggest that the CoREST complex maintains cancer cell genome stability and promotes survival by sustaining MYC oncogenic activity, highlighting it as a potential therapeutic target in MYC-driven malignancies.

cancer biology↗

bioRxiv2024

Journey to the center of the phage; revealing the ejectosome of Pectobacterium bacteriophage {Phi}M1

Podophages that infect gram-negative bacteria, such as Pectobacterium pathogen {Phi}M1, encode tail assemblies too short to extend across the complex gram-negative cell wall. To overcome this, podophages encode a large protein complex (ejectosome) packaged inside the viral capsid and correspondingly ejected during infection to form a transient channel that spans the periplasmic space. Here we describe the ejectosome of bacteriophage {Phi}M1 to a resolution of 3.32 [A] by single particle cryo-EM. The core consists of tetrameric and octameric ejection proteins which form a [~]1.5 MDa ejectosome that must transition through the [~]30 [A] aperture created by the short tail nozzle assembly that acts as the conduit for the passage of DNA during infection. The ejectosome forms several grooves into which coils of genomic DNA are fit before the DNA sharply turns and goes down the tunnel and into the portal. In addition, we reconstructed the icosahedral capsid and hybrid tail apparatus to resolutions between 3.04 [A] and 3.23 [A], and note an uncommon fold adopted by the dimerized decoration proteins which further emphasize the structural diversity of podophages. These reconstructions have allowed the generation of a complete atomic model of the {Phi}M1, uncovering two distinct decoration proteins and highlighting the exquisite structural diversity of tailed bacteriophages. Significance StatementThis study resolves the cryo-EM structure of bacteriophage {Phi}M1, which possesses several unique and interesting structural elements, including a pair of distinct decoration proteins that are underreported in tailed DNA phages. Significantly, we also report the internal ejectosome proteins of {Phi}M1, which are highly non-conserved with previously solved proteins to date and demonstrate the structural diversity of ejection proteins. The ejectosome reveals a DNA spooling phenomenon whereby the viral genome wraps around the ejectosome within the capsid, which has never been reported before. We provide a clear, step-by-step method for the technically challenging reconstruction of ejectosomes using standard, open-source software.

microbiology↗

bioRxiv2019

Development and Validation of Phenotype Classifiers across Multiple Sites in the Observational Health Sciences and Informatics (OHDSI) Network

ObjectiveAccurate electronic phenotyping is essential to support collaborative observational research. Supervised machine learning methods can be used to train phenotype classifiers in a high-throughput manner using imperfectly labeled data. We developed ten phenotype classifiers using this approach and evaluated performance across multiple sites within the Observational Health Sciences and Informatics (OHDSI) network.\n\nMaterials and MethodsWe constructed classifiers using the Automated PHenotype Routine for Observational Definition, Identification, Training and Evaluation (APHRODITE) R-package, an open-source framework for learning phenotype classifiers using datasets in the OMOP CDM. We labeled training data based on the presence of multiple mentions of disease-specific codes. Performance was evaluated on cohorts derived using rule-based definitions and real-world disease prevalence. Classifiers were developed and evaluated across three medical centers, including one international site.\n\nResultsCompared to the multiple mentions labeling heuristic, classifiers showed a mean recall boost of 0.43 with a mean precision loss of 0.17. Performance decreased slightly when classifiers were shared across medical centers, with mean recall and precision decreasing by 0.08 and 0.01, respectively, at a site within the USA, and by 0.18 and 0.10, respectively, at an international site.\n\nDiscussion and ConclusionWe demonstrate a high-throughput pipeline for constructing and sharing phenotype classifiers across multiple sites within the OHDSI network using APHRODITE. Classifiers exhibit good portability between sites within the USA, however limited portability internationally, indicating that classifier generalizability may have geographic limitations, and consequently, sharing the classifier-building recipe, rather than the pre-trained classifiers, may be more useful for facilitating collaborative observational research.

bioinformatics↗