Biology subjects

Min, J.

Publications and source records attributed to Min, J..

At least 37 records · Page 2Linked to original sources

bioRxiv2025

A spatial atlas of chemoradiation therapy in pancreatic cancer identifies cellular and microenvironmental determinants of persister populations

The molecular pathways involved in the response to radiation therapy in pancreatic ductal adenocarcinoma (PDAC) remain poorly understood. We aimed to elucidate the adaptive mechanisms and cellular interactions within PDAC to radiation therapy (RT). We constructed a transcriptomic landscape of the cellular subtypes and spatially resolved neighborhoods from 50 patient samples, including 16 longitudinally matched single cell RNA sequencing and 34 spatial transcriptomics specimens. To resolve shortcomings of cell-type mixtures in spatial data, we developed a novel statistical method called SpaCCI (spatially aware analysis of cell-cell interactions) to profile cell-cell interactions and ligand-receptor enrichment. This revealed CXCL12/TGF{beta}-driven persister cell niches where activated fibroblasts reprogram tumor- associated macrophages and spatially exclude stress-response CD8 T cells after RT. Persister cancer cells displayed transcriptional evidence of recalcitrance to metal-induced cell death pathways of ferroptosis and cuproptosis which were recapitulated in preclinical models. Our study reveals the selective pressures experienced by PDAC following RT that may help provide insight for future multimodal therapeutic strategies.

cancer biology↗

bioRxiv2025

Genetic impacts on within-pair DNA methylation variance in monozygotic twins capture gene-environment interactions and cell-type effects

BackgroundGenetic variants that are associated with phenotypic variability, or variance quantitative trait loci (vQTLs), have been detected for multiple human traits. Gene-environment interactions can lead to differential phenotypic variability across genotype groups, therefore, genetic variants that interact with environmental exposures can manifest as vQTLs. Although changes in DNA methylation variability have been observed in several diseases, vQTLs for methylation levels (vmeQTL) have not yet been explored in depth. ResultsWe optimize the value of monozygotic (MZ) twin studies to identify and replicate vmeQTLs for blood DNA methylation variance at 358 CpGs in 988 adult MZ twin pairs from two European twin registries. Over a third of vmeQTLs captured identical vmeQTL-environmental factor interactions in both datasets, and the majority of interactions were observed with blood cell counts. Correspondingly, over 60% of CpGs affected by genotype-monocyte and genotype-T cell interactions replicated as CpGs affected by genetic effects in the relevant cell type in an independent dataset. Most vmeQTLs also replicated in 1,348 UK non-twin adults and showed longitudinal stability in a sample subset. Integrating gene expression and phenotype association results identified multiple vmeQTLs that capture GxE effects relevant to human health. Examples include vmeQTLs interacting with blood cell type to influence DNA methylation in FAM65A, NAPRT, and CSGALNACT1 underlying immune disease susceptibility and progression. ConclusionOur findings identify novel genetic effects on human DNA methylation variability within a unique MZ twin study design. The results show the potential of vmeQTLs to identify gene-environment interactions and provide novel insights into complex traits.

genetics↗

bioRxiv2025

γ-Amino Carboxylic Acid Modification Enhances the Efficacy of PNAs Targeting miR-221-3p in A549 Cells

Peptide nucleic acids (PNAs) are versatile tools for diagnostic and therapeutic applications, including gene regulation and miRNA targeting. However, their therapeutic potential is often limited by challenges such as biological efficacy. To address this, PNAs offer a key advantage over other nucleic acids--their ease of modification, which allows for enhanced properties. In this study, we introduced a novel{gamma} -amino carboxylic acid ({gamma}-ACA) modification to PNAs targeting miR-221-3p, a key miRNA implicated in various pathological processes. The modified PNAs showed significantly improved binding affinity to their targets and more efficient inhibition of miR-221-3p expression compared to unmodified PNAs in A549 cells, leading to effective regulation of downstream gene and protein expression. These results highlight the potential of{gamma} -modified PNAs as a platform for developing miRNA-targeted therapeutics.

molecular biology↗

bioRxiv2025

PIVOT: an open-source tool for multi-omic spatial data registration

Advances in spatial profiling have resulted in the generation of multi-omic atlases that span biological scales. In general, multiple workflows are required for image registration, coordinate registration, and spot deconvolution to integrate modalities. To improve the throughput of registration of multi-omic cohorts, we introduce PIVOT, a user-friendly and open-source interface for streamlined nonlinear registration. We demonstrate PIVOTs strengths through registration of three multi-omic datasets, and show comparison of its performance to existing workflows.

bioinformatics↗

bioRxiv2025

Distinct mechanisms underlying extrachromosomal telomere DNA generation in ALT cancers

Alternative lengthening of telomeres (ALT) is a telomerase-independent telomere maintenance mechanism observed in 15% of human cancers. A hallmark of ALT cancers is the presence of C-circles, circular single-stranded DNAs (ssDNAs) enriched with cytosine-rich telomere (C-rich, CCCTAA) sequences. G-circles, containing guanosine-rich telomere (G-rich, GGGTTA) ssDNAs, also exist but are much less abundant. Recent studies indicate that excessive displacement of Okazaki fragments during lagging-strand synthesis is a unique feature of ALT telomeres and responsible for generating C-circles/C-rich ssDNAs. However, the distinct characteristics of C-circles compared to G-circles remain unclear. Here, we demonstrate that co-deficiency of the DNA translocases SMARCAL1 and FANCM leads to abundant generation of G-circle/G-rich ssDNAs. These G-rich ssDNAs mainly exist in linear form, ranging in size from 500 to 3000 nucleotides, which differs significantly from the structure and size of C-circle/C-rich ssDNAs. Mechanistically, both C-rich and G-rich ssDNAs originate from BLM/POLD-mediated excessive strand displacement; however, they differ in their origins and initiation mechanisms. Specifically, C-rich ssDNAs arise from lagging daughter strands initiated by the CST complex, whereas G-rich ssDNAs originate from leading daughter strands through RAD51-dependent G-strand synthesis. Our findings propose two distinct mechanisms for generating two different extrachromosomal telomere DNAs, C-and G-circles, during ALT-mediated telomere elongation.

biochemistry↗

bioRxiv2025

The Physiological Component of the BOLD Signal: Impact of Age and Heart Rate Variability Biofeedback Training

Aging is associated with declines in autonomic nervous system (ANS) function, including reduced heart rate variability (HRV), impaired neurovascular coupling, and diminished cerebrovascular responsiveness--factors that may contribute to cognitive decline and neurodegenerative diseases. Understanding how aging alters physiological signal integration in the brain is crucial for identifying potential interventions to promote brain health. This study examines age-related differences in how cardiac and respiratory fluctuations influence the blood oxygenation level-dependent (BOLD) signal, using two independent resting-state fMRI datasets with concurrent physiological recordings from younger and older adults. Our findings reveal significant age-related reductions in the percent variance of the BOLD signal explained by heart rate (HR), respiratory variation (RV), and end-tidal CO2, particularly in regions involved in autonomic regulation, including the orbitofrontal cortex, anterior cingulate cortex, insula, basal ganglia, and white matter. Cross-correlation analysis also revealed that younger adults exhibited stronger HR-BOLD coupling in white matter, as well as a more rapid BOLD response to RV and CO2 in gray matter. Additionally, we investigated the effects of heart rate variability biofeedback (HRV-BF) training, a non-invasive intervention designed to modulate heart rate oscillations. The intervention altered physiological-BOLD coupling in an age- and training-dependent manner: older adults who underwent HRV-BF to enhance HR oscillations exhibited a shift toward younger-like HR-BOLD coupling patterns, while younger adults who trained to suppress HR oscillations showed increased CO2-BOLD coupling. These findings suggest that HRV-BF may help mitigate age-related declines in autonomic or cerebrovascular function. Overall, this study underscores the role of physiological dynamics in brain aging and highlights the importance of considering autonomic function when interpreting BOLD signals. By demonstrating that HRV-BF can modulate physiological-BOLD interactions, our findings suggest a potential pathway for enhancing cerebrovascular function and preserving brain health across the lifespan.

neuroscience↗

bioRxiv2025

Accessible, realistic genome simulation with selection using stdpopsim

Selection is a fundamental evolutionary force that shapes patterns of genetic variation across species. However, simulations incorporating realistic selection along heterogeneous genomes in complex demographic histories are challenging, limiting our ability to benchmark statistical methods aimed at detecting selection and to explore theoretical predictions. stdpopsim is a community-maintained simulation library that already provides an extensive catalog of species-specific population genetic models. Here we present a major extension to the stdpopsim framework that enables simulation of various modes of selection, including background selection, selective sweeps, and arbitrary distributions of fitness effects (DFE) acting on annotated subsets of the genome (for instance, exons). This extension maintains stdpopsims core principles of reproducibility and accessibility while adding support for species-specific genomic annotations and published DFE estimates. We demonstrate the utility of this framework by comparing methods for demographic inference, DFE estimation, and selective sweep detection across several species and scenarios. Our results demonstrate the robustness of demographic inference methods to selection on linked sites, reveal the sensitivity of DFE-inference methods to model assumptions, and show how genomic features, like recombination rate and functional sequence density, influence power to detect selective sweeps. This extension to stdpopsim provides a powerful new resource for the population genetics community to explore the interplay between selection and other evolutionary forces in a reproducible, user-friendly framework.

evolutionary biology↗

bioRxiv2025

Discovery of a VHL molecular glue degrader of GEMIN3 by Picowell RNA-seq

Targeted protein degradation (TPD) is an emerging therapeutic modality in which small molecules are used to recruit targets to the natural protein degradation machinery of the cell. Molecular glue degraders (MGD) are monovalent small molecules that accomplish this by redirecting E3 ubiquitin ligases to target proteins, offering the potential to degrade previously unliganded and "undruggable" proteins in cancer, neurodegenerative, and other diseases. While attractive due to their drug-like properties, MGDs are exceptionally hard to discover and have largely been identified serendipitously. The Von Hippel-Lindau (VHL) E3 ligase is the second most widely used effector for TPD, though current VHL-based degraders are primarily large heterobifunctional PROTACs (proteolysis-targeting chimeras) designed using target-based ligands. Here, we have instead pursued target-agnostic discovery of VHL MGDs leveraging proprietary ultra-miniaturized microfluidics devices (Picowells) to facilitate unbiased RNA-seq screening of a biased E3-focused library. This resulted in dGEM3, a novel VHL molecular glue that targets the survival of motor neuron (SMN) complex member GEMIN3 for degradation. Through a combination of cellular, biochemical, and biophysical assays, we have characterized the GEMIN3 degron within its helicase ATP-binding domain, and how the kinetics of ternary complex formation impact degradation. These findings provide insights on the re-programmability of VHL for novel targets using drug-like molecular glues.

biochemistry↗

bioRxiv2024

Fentanyl reinforcement history has sex-specific effects on multi-step decision-making

It is commonly thought that drug addiction involves a transition to habitual control of action, where the choice to consume drugs becomes automatized and reflects a failure to deliberate over possible negative outcomes. Determining whether the pursuit of addictive drugs is habitual is hampered by a lack of behavior assessments suitable for use during a bout of actual drug seeking. Therefore, to understand how variable histories of drug reinforcement might affect goal-directed and habitual pursuit of drug, we trained rats to perform a multi-step decision-making task to earn oral fentanyl and sucrose rewards following extensive pretraining with either fentanyl or sucrose. Importantly, this task allowed for independent measurements of goal-directed and habitual choice characteristics during online pursuit of rewards, and habitual choice could be further categorized into perseverative and reward-guided components. Chronic fentanyl led to a bias for reward-guided habitual choice specifically in females, and a high degree of perseveration in both sexes. These behavioral changes after chronic fentanyl pretraining generalized across fentanyl and sucrose seeking. In contrast, acute fentanyl selectively increased perseveration in females, and blunted the gradual within-session improvement in goal-directed choice in both sexes. These results show that chronic fentanyl reinforcement promotes habits that generalize across drug and non-drug reward seeking, and that female rats are especially susceptible to habitual control induced by both chronic and acute fentanyl reinforcement.

animal behavior and cognition↗

bioRxiv2024

Imputed DNA methylation outperforms measured loci associations with smoking and chronological age

Multi-locus signatures of blood-based DNA methylation are well-established biomarkers for lifestyle and health outcomes. Here, we focus on two CpGs that are strongly associated with age and smoking behaviour. Imputing these loci via epigenome-wide CpGs results in stronger associations with outcomes in external datasets compared to directly measured CpGs. If extended epigenome-wide, CpG imputation could augment historic arrays and recently-released, inexpensive but lower-content arrays, thereby yielding better-powered association studies.

genetics↗

bioRxiv2024

Population genetics meets ecology: a guide to individual-based simulations in continuous landscapes

Individual-based simulation has become an increasingly crucial tool for many fields of population biology. However, continuous geography is important to many applications, and implementing realistic and stable simulations in continuous space presents a variety of difficulties, from modeling choices to computational efficiency. This paper aims to be a practical guide to spatial simulation, helping researchers to implement individual-based simulations and avoid common pitfalls. To do this, we delve into mechanisms of mating, reproduction, density-dependent feedback, and dispersal, all of which may vary across the landscape, discuss how these affect population dynamics, and describe how to parameterize simulations in convenient ways (for instance, to achieve a desired population density). We also demonstrate how to implement these models using the current version of the individual-based simulator, SLiM. We additionally discuss natural selection - in particular, how genetic variation can affect demographic processes. Finally, we provide four short vignettes: simulations of pikas that shift their range up a mountain as temperatures rise; mosquitoes that live in rivers as juveniles and experience seasonally changing habitat; cane toads that expand across Australia, reaching 120 million individuals; and monarch butterflies whose populations are regulated by an explicitly modeled resource (milkweed).

evolutionary biology↗

bioRxiv2024

Structure of Geobacillus stearothermophilus Cas9: insights into the catalytic process and thermostability of CRISPR-Cas9

CRISPR-Cas9 has been developed as a powerful gene editing tool, but the mechanism governing the intricate catalytic process remains incompletely resolved. Here, the cryo-electron microscopy structures of thermostable Cas9 from Geobacillus stearothermophilus (GeoCas9) in complex with sgRNA and target DNA are reported. The structure of GeoCas9 in complex with sgRNA reveals a slit termed L1-crevice comprising HNH, RuvC, and L1 helix as a transient storage site of 5 spacer of sgRNA. When 5 spacer is extracted to pair with the target DNA, L1-crevice collapses to trigger the subsequent HNH domain translocation. In addition, structural and biochemical analyses suggest that the resilience of GeoCas9 at elevated temperature is related to the unique PI domain conformation. These results advance our understanding into the catalytic process of Cas9 and unveil the molecular mechanism that accounts for the superior thermal profile of GeoCas9.

molecular biology↗

bioRxiv2024

Asymmetric Allostery in Estrogen Receptor-α Homodimers Drives Responses to the Ensemble of Estrogens in the Hormonal Milieu

The estrogen receptor- (ER) is thought to function only as a homodimer, but responds to a variety of environmental, metazoan, and therapeutic estrogens at sub-saturating doses, supporting binding mixtures of ligands as well as dimers that are only partially occupied. Here, we present a series of flexible ER ligands that bind to receptor dimers with individual ligand poses favoring distinct receptor conformations --receptor conformational heterodimers--mimicking the binding of two different ligands. Molecular dynamics simulations showed that the pairs of different ligand poses changed the correlated motion across the dimer interface to generate asymmetric communication between the dimer interface, the ligands, and the surface binding sites for epigenetic regulatory proteins. By examining binding of the same ligand in crystal structures of ER in the agonist versus antagonist conformers, we also showed that these allosteric signals are bidirectional. The receptor conformer can drive different ligand binding modes to support agonist versus antagonist activity profiles, a revision of ligand binding theory that has focused on unidirectional signaling from ligand to the coregulator binding site. We also observed differences in the allosteric signals between ligand and coregulator binding sites in the monomeric versus dimeric receptor, and when bound by two different ligands, states that are physiologically relevant. Thus, ER conformational heterodimers integrate two different ligand-regulated activity profiles, representing new modes for ligand-dependent regulation of ER activity. SignificanceThe estrogen receptor- (ER) regulates transcription in response to a hormonal milieu that includes low levels of estradiol, a variety of environmental estrogens, as well as ER antagonists such as breast cancer anti-hormonal therapies. While ER has been studied as a homodimer, the variety of ligand and receptor concentrations in different tissues means that the receptor can be occupied with two different ligands, with only one ligand in the dimer, or as a monomer. Here, we use X-ray crystallography and molecular dynamics simulations to reveal a new mode for ligand regulation of ER activity whereby sequence-identical homodimers can act as functional or conformational heterodimers having unique signaling characteristics, with ligand-selective allostery operating across the dimer interface integrating two different signaling outcomes.

biophysics↗

bioRxiv2024

Metabolic Reprogramming by Mutant GNAS Creates an Actionable Dependency in Intraductal Papillary Mucinous Neoplasms of the Pancreas

ObjectiveOncogenic "hotspot" mutations of KRAS and GNAS are two major driver alterations in Intraductal Papillary Mucinous Neoplasms (IPMNs), which are bona fide precursors to pancreatic ductal adenocarcinoma. We previously reported that pancreas-specific KrasG12D and GnasR201C co-expression in p48Cre; KrasLSL-G12D; Rosa26LSL-rtTA; Tg (TetO-GnasR201C) mice ("Kras;Gnas" mice) caused development of cystic lesions recapitulating IPMNs. Here, we aim to unveil the consequences of mutant GnasR201C expression on phenotype, transcriptomic profile, and genomic dependencies. DesignWe performed multimodal transcriptional profiling (bulk RNA sequencing, single cell RNA sequencing, and spatial transcriptomics) in the "Kras;Gnas" autochthonous model and tumor-derived cell lines (Kras;Gnas cells), where GnasR201C expression is inducible. A genome-wide CRISPR/Cas9 screen was conducted to identify potential vulnerabilities in KrasG12D;GnasR201Cco-expressing cells. ResultsInduction of GnasR201C - and resulting G(s)alpha signaling - leads to the emergence of a gene signature of gastric (pyloric type) metaplasia in pancreatic neoplastic epithelial cells. CRISPR screening identified the synthetic essentiality of glycolysis-related genes Gpi1 and Slc2a1 in KrasG12D;GnasR201C co-expressing cells. Real-time metabolic analyses in Kras;Gnas cells and autochthonous Kras;Gnas model confirmed enhanced glycolysis upon GnasR201C induction. Induction of GnasR201C made KrasG12D expressing cells more dependent on glycolysis for their survival. Protein kinase A-dependent phosphorylation of the glycolytic intermediate enzyme PFKFB3 was a driver of increased glycolysis upon GnasR201C induction. ConclusionMultiple orthogonal approaches demonstrate that KrasG12D and GnasR201C co-expression results in a gene signature of gastric pyloric metaplasia and glycolytic dependency during IPMN pathogenesis. The observed metabolic reprogramming may provide a potential target for therapeutics and interception of IPMNs. SUMMARYO_ST_ABSWhat is already known on this topicC_ST_ABSO_LIActivating "hotspot" mutations of KRAS and GNAS are found in a majority of Intraductal Papillary Mucinous Neoplasms (IPMNs). C_LIO_LIExpression of mutant KRAS and GNAS drives development of IPMN-like cystic lesions in the murine pancreas that eventually progress to pancreatic ductal adenocarcinoma (PDAC). C_LI What this study addsO_LIMutant GNAS and the resulting aberrant G(s)alpha signaling drives a transcriptional signature of gastric (pyloric type) metaplasia in IPMNs with mucin production. C_LIO_LIAberrant G(s)alpha signaling enhances glycolysis via protein kinase A-dependent phosphorylation of the glycolytic enzyme PFKFB3. C_LIO_LIEnhanced glycolysis in KRAS;GNAS-mutated IPMN cells is validated via multiple orthogonal approaches in vitro and in vivo and represents an actionable metabolic vulnerability. C_LI How this study might affect research, practice or policyO_LIThe present study provides mechanistic insight into how aberrant G(s)alpha signaling alters the biology of Kras-mutant pancreatic epithelial neoplasia through metaplastic and metabolic reprogramming. C_LIO_LITargeting glycolysis in IPMNs may represent both a therapeutic avenue as well as an opportunity for intercepting progression to invasive cancer. C_LI

cancer biology↗

bioRxiv2024

Designer micro/nano-crumpled MXene multilayer coatings accelerate osteogenesis and regulate macrophage polarization

Effective tissue regeneration and immune responses are essential for the success of biomaterial implantation. Although the interaction between synthetic materials and biological systems is well-recognized, the role of surface topographical cues in regulating the local osteoimmune microenvironment--specifically, their impact on host tissue and immune cells and their dynamic interactions--remains underexplored. This study addresses this gap by investigating the impact of surface topography on osteogenesis and immunomodulation. We fabricated MXene/Hydroxyapatite (HAP)-coated surfaces with controlled 2.5D nano-, submicro-, and micro-scale topographical patterns using our custom bottom-up pattering method. These engineered surfaces were employed to assess the behavior of osteoblast precursor cells and macrophage polarization. Our results demonstrate that MXene/HAP-coated surfaces with microscale crumpled topography significantly influence osteogenic activity and macrophage polarization: These surfaces notably enhanced osteoblast precursor cell spreading, proliferation, differentiation, and facilitated a shift in macrophages towards an anti-inflammatory, pro-healing M2 phenotype. The observed cell responses indicate that the physical cues from the crumpled topographies, combined with the chemical cues from the MXene/HAP coatings, synergistically create a favorable osteoimmune microenvironment. This study presents the first evidence of employing MXene/HAP-multilayer coated surfaces with finely crumpled topography to concurrently facilitate osteogenesis and immunomodulation for improved implant-to-tissue integration. The tunable topographic patterns of these coatings, coupled with a facile and scalable fabrication process, make them widely applicable for various biomedical purposes. Our results highlight the potential of these novel coatings to improve the in vivo performance and fate of implants by modulating the host response at the material interface.

bioengineering↗

bioRxiv2023

Early Embryonic Establishment of Constitutive Heterochromatin Involves H3K14ac-mediated Recruitment of Eggless/SetDB1

Constitutive heterochromatin, built on various types of repetitive DNA, is a fundamental feature of eukaryotic nucleus essential for transposon silencing and genome stability. However, the molecular programs driving its de novo establishment during early embryogenesis remain poorly understood. Here, we show that histone H3 lysine 14 acetylation (H3K14ac) is maternally inherited and partially colocalizes with hallmarks of constitutive heterochromatin, H3 lysine 9 trimethylation (H3K9me3) and its methyltransferase Eggless/SetDB1, around the mid-blastula transition in Drosophila early embryos. Concealing H3K14ac by either antibody injection or maternal knockdown of Gcn5 diminishes Eggless/SetDB1 nuclear foci and reduces the deposition of H3K9me3. Structural analysis reveals that Eggless/SetDB1 recognizes H3K14ac via its tandem Tudor domains, and disrupting the binding interface causes defects in Eggless/SetDB1 distribution and derepression of a subset of transposons. Therefore, H3K14ac, a histone modification associated with active transcription, is a crucial piece of the maternal programs that introduce constitutive heterochromatic features to the newly formed zygotic genome.

developmental biology↗

bioRxiv2023

Structural insights into specific recognition of PTENα/β-NTE by WDR5 in cancer progression

PTEN/{beta}, two variants of PTEN, play a key role in promoting tumor growth by interacting with WDR5 through their N-terminal extensions (NTEs). This interaction facilitates the recruitment of the SET1/MLL methyltransferase complex, resulting in histone H3K4 trimethylation and upregulation of oncogenes such as NOTCH3, which in turn promotes tumor growth. However, the molecular mechanism underlying this interaction has remained elusive. In this study, we determined the crystal structure of PTEN-NTE in complex with WDR5, which reveal that PTEN specifically binds to the WIN site of WDR5 through a novel binding motif specifically found in the NTE domain of PTEN/{beta}. Disruption of this interaction significantly impedes cell proliferation and tumor growth, highlighting the potential of the WIN site inhibitors of WDR5 as therapeutic agents for PTEN/{beta} associated cancers. These findings not only shed light on the important role of the PTEN/{beta}-WDR5 interaction in carcinogenesis, but also present a promising avenue for developing cancer treatments that target this pathway.

cancer biology↗

bioRxiv2023

Chemical Tools for the Gid4 Subunit of the Human E3 Ligase C-terminal to LisH (CTLH) Degradation Complex

We have developed a novel chemical handle (PFI-E3H1) and a chemical probe (PFI-7) as ligands for the Gid4 subunit of the human E3 ligase CTLH degradation complex. Through an efficient initial hit-ID campaign, structure-based drug design (SBDD) and leveraging the sizeable Pfizer compound library, we identified a 500 nM ligand for this E3 ligase through file screening alone. Further exploration identified a vector that is tolerant to addition of a linker for future chimeric molecule design. The chemotype was subsequently optimized to sub-100 nM Gid4 binding affinity for a chemical probe. These novel tools, alongside the suitable negative control also identified, should enable the interrogation of this complex human E3 ligase macromolecular assembly.

biophysics↗