Biology subjects

Arrowsmith, C. H.

Publications and source records attributed to Arrowsmith, C. H..

At least 19 recordsLinked to original sources

bioRxiv2026

Chemically induced USP21-KLHL12 association recruits USP21 to COPII assembly

Ubiquitin-specific protease 21 (USP21) is a deubiquitinase implicated in various biological processes and disease states, including cancer. To better understand USP21 protein interaction networks, we used biotin identification proximity labeling, and uncovered USP21 interactions with the cytoskeleton, endosomal, and transcriptional regulators. Notably, a subset of these interactions was modulated by the USP21 selective inhibitor BAY-805. In cells, BAY-805 promoted proximity between USP21 and Kelch like protein KLHL12, a component of the Cullin3 ligase complex. Structural modeling using AlphaFold3, together with hydrogen deuterium exchange mass spectrometry, identified an orthosteric BAY-805 binding site within USP21. Binding of BAY-805 functionally competes with ubiquitin at USP21, thereby enabling USP21 interaction with KLHL12. This BAY-805 induced proximity elicited relocalization of USP21 to KLHL12 containing coat protein complex II (COPII) vesicles. Induced USP21-KLHL12 association led to enlargement of COPII vesicles and impaired transport of large cargoes such as collagen. Overall, our findings reveal a novel chemically induced proximity mechanism in which the monovalent ligand BAY-805 outcompetes ubiquitin from USP21, thereby recruiting USP21 to KLHL12 associated protein complexes.

cell biology↗

bioRxiv2026

Hepatocyte growth factor activator inhibitor-2 rapidly inactivates airway-expressed human Type II Transmembrane Serine Proteases

Human Type II Transmembrane Serine Proteases (TTSPs) are essential entry factors for various influenza A and coronaviruses, and drive cancer metastasis when they are overexpressed by tumor cells. However, the natural inhibition mechanisms that regulate these proteases are not well understood. One natural transmembrane protease inhibitor, hepatocyte growth factor activator inhibitor-2 (HAI-2), has been shown to block TMPRSS2 activity and can prevent SARS-CoV-2 infection and reduce TMPRSS2-driven prostate cancer metastasis when overexpressed. In this study, we present biochemical and biophysical evidence showing that HAI-2 effectively inactivates TMPRSS2 and other TTSPs only after they have undergone zymogen activation. Through mutagenesis and ligand binding assays, we demonstrate that Kunitz Domain 1 (KD1) and KD2 can form stable ternary complexes with TMPRSS2 and other TTSPs, but do not employ the typical Laskowski inhibitor mechanism found for other macromolecular serine protease inhibitors. We also show that HAI-2 proteins do not inhibit the coagulation protease thrombin and that multivalent human IgG-tagged HAI-2 proteins are highly potent TMPRSS2 inhibitors. Our findings provide a mechanistic understanding of how TTSP activity is regulated in human airway cells and offer a foundation for developing engineered soluble HAI-2 proteins as anti-TTSP antivirals and anti-cancer therapeutics.

biochemistry↗

bioRxiv2025

Structural basis of NSD2 degradation via targeted recruitment of SCF-FBXO22

Targeted protein degradation (TPD) through the ubiquitin-proteasome system is driven by compound-mediated polyubiquitination of a protein-of-interest by an E3 ubiquitin (Ub) ligase. To date, relatively few E3s have been successfully utilized for TPD and the governing principles of functional ternary complex formation between the E3, degrader, and protein target remain elusive. FBXO22 has recently been harnessed by several groups to target different proteins for degradation. FBXO22 recruitment has been enabled through degraders that covalently modify its cysteine residues. Here, we reveal that the aldehyde derivative of UNC10088 promotes cooperative binding of FBXO22 to NSD2, a histone methyltransferase and oncogenic protein, leading to a cryo-EM structure of the full SKP1-CUL1-F-box (SCF)-FBXO22 complex with NSD2. This structure revealed a conformational change in the FBXO22 loop surrounding C326, further exposing the cysteine for covalent recruitment. Additional medicinal chemistry efforts led to the discovery of benzaldehyde-based non-prodrug degraders that similarly engage C326 of FBXO22 and potently degrade NSD2. Furthermore, unlike many degraders, our molecules recruit NSD2 to a different surface of FBXO22 than the known FBXO22 substrate BACH1, allowing for concurrent complex formation and degradation of both the neosubstrate and endogenous substrates. Overall, we demonstrate the biochemical and structural basis for NSD2 degradation, revealing key principles for efficient and selective TPD by SCFFBXO22.

biochemistry↗

bioRxiv2025

An Enantioselective Chemical Probe for Chikungunya nsP2 Helicase with Antialphaviral Activity

Chikungunya virus (CHIKV) replication relies on the multifunctional nsP2 protein, making it an attractive target for antiviral drug discovery. Here, we report the resolution of oxaspiropiperidine 1, a first-in-class inhibitor of the CHIKV nsP2 RNA helicase (nsP2hel), into its constitutive enantiomers and characterization of their antiviral activity. The enantiomer (R)-1 exhibited potent inhibition of viral replication, nsP2hel ATPase activity, and dsRNA unwinding, while the (S)-1 enantiomer was >100-fold less active. The (R)-1 enantiomer also demonstrated high selectivity for CHIKV over other RNA viruses and for nsP2hel over other RNA helicases. Direct binding of (R)-1 to nsP2hel protein was confirmed by 19F NMR. Biophysical and structural studies revealed conformational polymorphism in the spirocyclic scaffold of (R)-1, suggesting a potential role of thermal mobility of the ligand in allosteric inhibition of nsP2hel. Collectively, these findings designate (R)-1 (RA-NSP2-1) as a high-quality chemical probe and (S)-1 (RA-NSP2-1N) as a negative control for probing the biology of alphavirus RNA helicases.

pharmacology and toxicology↗

bioRxiv2025

Characterization of PROTAC specificity and endogenous protein interactomes using ProtacID

Here we describe ProtacID, a flexible BioID (proximity-dependent biotinylation)-based approach to identify PROTAC-proximal proteins in living cells. ProtacID analysis of VHL- and CRBN-recruiting PROTACs targeting a number of different proteins (localized to chromatin or cellular membranes, and tested across six different human cell lines) demonstrates how this technique can be used to validate PROTAC degradation targets and identify non-productive (i.e. non-degraded) PROTAC-interacting proteins, addressing a critical need in the field of PROTAC development. We also demonstrate that ProtacID can be used to characterize native, endogenous multiprotein complexes without the use of antibodies, or modification of the protein of interest with epitope tags or biotin ligase tagging.

molecular biology↗

bioRxiv2025

Large-scale discovery, analysis, and design of protein energy landscapes

All folded proteins continuously fluctuate between their low-energy native structures and higher energy conformations that can be partially or fully unfolded. These rare states influence protein function, interactions, aggregation, and immunogenicity, yet they remain far less understood than protein native states. Although native protein structures are now often predictable with impressive accuracy, conformational fluctuations and their energies remain largely invisible and unpredictable, and experimental challenges have prevented large-scale measurements that could improve machine learning and physics-based modeling. Here, we introduce a multiplexed experimental approach to analyze the energies of conformational fluctuations for hundreds of protein domains in parallel using intact protein hydrogen-deuterium exchange mass spectrometry. We analyzed 5,778 domains 28-64 amino acids in length, revealing hidden variation in conformational fluctuations even between sequences sharing the same fold and global folding stability. Site-resolved hydrogen exchange NMR analysis of 13 domains showed that these fluctuations often involve entire secondary structural elements with lower stability than the overall fold. Computational modeling of our domains identified structural features that correlated with the experimentally observed fluctuations, enabling us to design mutations that stabilized low-stability structural segments. Our dataset enables new machine learning-based analysis of protein energy landscapes, and our experimental approach promises to reveal these landscapes at unprecedented scale.

biophysics↗

bioRxiv2025

High-throughput protein target mapping enables accelerated bioactivity discovery for ToxCast and PFAS compounds

Chemical pollution is a global threat to human health, yet the toxicity mechanism of most contaminants remains unknown. Here, we applied an ultrahigh-throughput affinity-selection mass spectrometry (AS-MS) platform to systematically identify protein targets of prioritized chemical contaminants. After benchmarking the platform, we screened 50 human proteins against 481 prioritized chemicals, including 446 ToxCast chemicals and 35 per-and polyfluoroalkyl substances (PFAS). Among 24,050 interactions assessed, we discovered 35 novel interactions involving 14 proteins, with fatty acid-binding proteins (FABPs) emerging as the most ligandable protein family. Given this, we selected FABPs for further validation, which revealed a distinct PFAS binding pattern: legacy PFAS selectively bound to FABP1, whereas replacement compounds, PFECAs, unexpectedly interacted with all FABPs. X-ray crystallography further revealed that the ether group enhances molecular flexibility of alternative PFAS, to accommodate the binding pockets of FABPs. Our findings demonstrate that AS-MS is a robust platform for the discovery of novel protein targets beyond the scope of the ToxCast program and highlight the broader protein-binding spectrum of alternative PFAS as potential regrettable substitutes.

pharmacology and toxicology↗

bioRxiv2025

Identification of Direct-acting nsP2 Helicase Inhibitors with Anti-alphaviral Activity

Alphaviruses are mosquito-borne RNA viruses that pose a significant public health threat, with no FDA-approved antiviral therapeutics available. The non-structural protein 2 helicase (nsP2hel) is an enzyme involved in unwinding dsRNA essential for alphavirus replication. This study reports the discovery and optimization of first-in-class oxaspiropiperidine inhibitors targeting nsP2hel. Structure-activity relationship (SAR) studies identified potent cyclic sulfonamide analogs with nanomolar antiviral activity against chikungunya virus (CHIKV). Biochemical analyses of nsP2hel ATPase and RNA unwindase activities showed these compounds act by a non-competitive mode suggesting that they are allosteric inhibitors. Viral resistance mutations mapped to nsP2hel and a fluorine-labeled analog exhibited direct binding to the protein by 19F NMR. The lead inhibitor, 2o, demonstrated broad-spectrum antialphaviral activity, reducing titers of CHIKV, Mayaro virus (MAYV), and Venezuelan equine encephalitis virus (VEEV). These findings support nsP2hel as a viable target for development of broad-spectrum direct-acting antialphaviral drugs. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=108 SRC="FIGDIR/small/641060v1_ufig1.gif" ALT="Figure 1"> View larger version (22K): org.highwire.dtl.DTLVardef@856df5org.highwire.dtl.DTLVardef@1f6225borg.highwire.dtl.DTLVardef@4997d5org.highwire.dtl.DTLVardef@18f42f2_HPS_FORMAT_FIGEXP M_FIG C_FIG

pharmacology and toxicology↗

bioRxiv2025

Enantioselective Protein Affinity Selection Mass Spectrometry (EAS-MS)

We report an enantioselective protein affinity selection mass spectrometry screening approach (E-ASMS) that enables the detection of weak binders, informs on selectivity, and generates orthogonal confirmation of binding. After method development with control proteins, we screened 31 human proteins against a designed library of 8,210 chiral compounds. 16 binders to 12 targets, including many proteins predicted to be "challenging to ligand", were discovered and confirmed in orthogonal biophysical assays. 7 binders to 6 targets bound in an enantioselective manner, with KD values ranging from 3 to 20 {micro}M. Binders for four targets (DDB1, WDR91, WDR55, and HAT1) were selected for in-depth characterization using X-ray crystallography. In all four cases, the mechanism for enantioselectivity was readily explained. We conclude E-ASMS can be used to identify and characterize selective and weakly-binding ligands for novel protein targets with unprecedented throughput and sensitivity.

pharmacology and toxicology↗

bioRxiv2024

Structural basis of TMPRSS11D specificity and autocleavage activation

Transmembrane Protease, Serine-2 (TMPRSS2) and TMPRSS11D are human proteases that enable SARS-CoV-2 and Influenza A/B virus infections, but their biochemical mechanisms for facilitating viral cell entry remain unclear. We demonstrate these proteases can spontaneously and efficiently cleave their own zymogen activation motifs, thereby activating their wider protease activity on other cellular substrates. We determined TMPRSS11D co-crystal structures in complexes with a native TMPRSS11D zymogen activation motif and with an engineered activation motif, providing insights into TMPRSS11D autocleavage activation and revealing unique regions of its substrate binding cleft. We further show that a protease inhibitor that underwent clinical trials for TMPRSS2-targeted COVID-19 therapy, nafamostat mesylate, was rapidly cleaved by TMPRSS11D and converted to low activity derivatives. These insights into human protease viral tropism and into liabilities with existing human serine protease inhibition strategies will guide future drug discovery campaigns for these targets.

biochemistry↗

bioRxiv2024

Potent and Selective SETDB1 Covalent Negative Allosteric Modulator Reduces Methyltransferase Activity in Cells

A promising drug target, SETDB1, is a dual Kme reader and methyltransferase, which has been implicated in cancer and neurodegenerative disease progression. To help understand the role of the triple Tudor domain (3TD) of SETDB1, its Kme reader, we first identified a low micromolar small molecule ligand, UNC6535, which occupies simultaneously both the TD2 and TD3 reader binding sites. Further optimization led to the discovery of UNC10013, the first covalent 3TD ligand targeting Cys385 of SETDB1. UNC10013 is potent with a kinact/KI of 1.0 x 106 M-1s-1 and demonstrated proteome-wide selectivity. In cells, negative allosteric modulation of SETDB1-mediated Akt methylation was observed after treatment with UNC10013. Therefore, UNC10013 is a potent, selective and cell-active covalent ligand for the 3TD of SETDB1, demonstrating negative allosteric modulator properties and making it a promising tool to study the biological role of SETDB1 in disease progression. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=81 SRC="FIGDIR/small/615363v1_ufig1.gif" ALT="Figure 1"> View larger version (31K): org.highwire.dtl.DTLVardef@6db8e2org.highwire.dtl.DTLVardef@1852ee3org.highwire.dtl.DTLVardef@c95bb6org.highwire.dtl.DTLVardef@1a43951_HPS_FORMAT_FIGEXP M_FIG C_FIG

molecular biology↗

bioRxiv2024

CACHE Challenge #1: targeting the WDR domain of LRRK2, a Parkinson's Disease associated protein.

The CACHE challenges are a series of prospective benchmarking exercises meant to evaluate progress in the field of computational hit-finding. Here we report the results of the inaugural CACHE #1 challenge in which 23 computational teams each selected up to 100 commercially available compounds that they predicted would bind to the WDR domain of the Parkinsons disease target LRRK2, a domain with no known ligand and only an apo structure in the PDB. The lack of known binding data and presumably low druggability of the target is a challenge to computational hit finding methods. Seventy-three of the 1955 procured molecules bound LRRK2 in an SPR assay with KD lower than 150 M and were advanced to a hit expansion phase where computational teams each selected up to 50 analogs each. Binding was observed in two orthogonal assays with affinities ranging from 18 to 140 M for seven chemically diverse series. The seven successful computational workflows varied in their screening strategies and techniques. Three used molecular dynamics to produce a conformational ensemble of the targeted site, three included a fragment docking step, three implemented a generative design strategy and five used one or more deep learning steps. CACHE #1 reflects a highly exploratory phase in computational drug design where participants sometimes adopted strikingly diverging screening strategies. Machine-learning accelerated methods achieved similar results to brute force (e.g. exhaustive) docking. First-in-class, experimentally confirmed compounds were rare and weakly potent, indicating that recent advances are not sufficient to effectively address challenging targets.

biochemistry↗

bioRxiv2024

Interplay between β-propeller subunits WDR26 and muskelin regulates the CTLH E3 ligase supramolecular complex

The Pro/N-degron recognizing C-terminal to LisH (CTLH) complex is an E3 ligase of emerging interest in the developmental field and for targeted protein degradation (TPD) modalities. The human CTLH complex forms distinct supramolecular ring-shaped structures dependent on the multimerization of WDR26 or muskelin {beta}-propeller proteins. Here, we find that, in human cells, CTLH complex E3 ligase activity is dictated by a dynamic exchange between WDR26 and muskelin in tandem with muskelin autoregulation. Proteomic experiments revealed that complex-associated muskelin protein turnover is a major ubiquitin-mediated degradation event dependent on the CTLH complex in unstimulated HeLa cells. We observed that muskelin and WDR26 binding to the scaffold of the complex is interchangeable, indicative of the formation of separate WDR26 and muskelin complexes, which correlated with distinct proteomes in WDR26 and muskelin knockout cells. We found that mTOR inhibition-induced degradation of Pro/N-degron containing protein HMGCS1 is distinctly regulated by a muskelin-specific CTLH complex. Finally, we found that mTOR inhibition also activated muskelin degradation, likely as an autoregulatory feedback mechanism to regulate CTLH complex activity. Thus, rather than swapping substrate receptors, the CTLH E3 ligase complex controls substrate selectivity and its autoregulation through exchanging its {beta}-propeller oligomeric subunits WDR26 and muskelin.

molecular biology↗

bioRxiv2024

A resource to enable chemical biology and drug discovery of WDR Proteins

Protein class-focused drug discovery has a long and successful history in pharmaceutical research, yet most members of druggable protein families remain unliganded, often for practical reasons. Here we combined experiment and computation to enable discovery of ligands for WD40 repeat (WDR) proteins, one of the largest human protein families. This resource includes expression clones, purification protocols, and a comprehensive assessment of the druggability for hundreds of WDR proteins. We solved 21 high resolution crystal structures, and have made available a suite of biophysical, biochemical, and cellular assays to facilitate the discovery and characterization of small molecule ligands. To this end, we use the resource in a hit-finding pilot involving DNA-encoded library (DEL) selection followed by machine learning (ML). This led to the discovery of first-in-class, drug-like ligands for 9 of 20 targets. This result demonstrates the broad ligandability of WDRs. This extensive resource of reagents and knowledge will enable further discovery of chemical tools and potential therapeutics for this important class of proteins.

biochemistry↗

bioRxiv2024

Huntingtin is an RNA-binding protein and participates in NEAT1-mediated paraspeckles

AbstractHuntingtin protein, mutated in Huntington disease, is implicated in nucleic acid- mediated processes, yet evidence for direct huntingtin-nucleic acid interaction is limited. Here we show wildtype and mutant huntingtin co-purify with nucleic acids, primarily RNA, and interact directly with G-rich RNAs in in vitro assays. Huntingtin RNA immunoprecipitation sequencing from patient-derived fibroblasts and neuronal progenitor cells expressing wildtype and mutant huntingtin revealed NEAT1 as a significantly enriched transcript. Altered NEAT1 levels were evident in Huntingtons disease cells and postmortem brain tissues, and huntingtin knockdown decreased NEAT1 levels. Huntingtin co-localized with NEAT1 in paraspeckles, and we identified a high-affinity RNA motif preferred by huntingtin. This study highlights NEAT1 as a novel huntingtin interactor, demonstrating huntingtins involvement in RNA-mediated functions and paraspeckle regulation. One-Sentence SummaryHTT is an RNA-binding protein that interacts with G-rich sequences, including those in the paraspeckle lncRNA NEAT1.

cell biology↗

bioRxiv2023

EHMT2/G9a-Inhibition Reprograms Cancer-Associated Fibroblasts (CAFs) to a More Differentiated, Less Proliferative and Invasive State

Cancer-associated fibroblasts (CAFs) have previously been shown to play a pivotal role in multiple cancer dynamics, including mediating tumor cell invasion: their pro-invasive secretory profile and ability to remodel the extracellular matrix (ECM) architecture particularly promote tumor progression through tumor cell invasion into surrounding tissue areas and beyond. Given that reduced CAF abundance in tumors correlates with improved outcomes in various cancers, we set out to identify epigenetic targets involved in CAF activation in the tumor-stromal margin to reduce overall tumor aggressiveness. Using the GLAnCE (Gels for Live Analysis of Compartmentalized Environments) co-culture platform, we performed an image-based, phenotypic screen and identified EHMT2 (also known as G9a), an epigenetic enzyme that targets the methylation of histone 3 lysine 9 (H3K9), as the most potent modulator of CAF abundance and CAF-mediated tumor cell invasion. Transcriptomic and functional analysis of EHMT2-inhibited CAFs revealed the involvement of EHMT2 in driving CAFs towards a pro-invasive phenotype. Further, EHMT2 signaling mediated CAF hyperproliferation, a feature that is typically associated with activated fibroblasts present in tumors, but the molecular basis for which has not thus far been identified. This study suggests a role for EHMT2 as a regulator of CAF hyperproliferation within the tumor mass, which in turn magnifies CAF-induced pro-invasive effects on tumor cells.

cancer biology↗

bioRxiv2023

SETDB1 Triple Tudor Domain Ligand, (R,R)-59, Promotes Methylation of Akt1 in Cells

Increased expression and hyperactivation of the methyltransferase SETDB1 are commonly observed in cancer and central nervous system disorders. However, there are currently no reported SETDB1-specific methyltransferase inhibitors in the literature, suggesting this is a challenging target. Here, we disclose that the previously reported small-molecule ligand for SETDB1s Triple Tudor Domain, (R,R)-59, is unexpectedly able to increase SETDB1 methyltransferase activity both in vitro and in cells. Specifically, (R,R)-59 promotes in vitro SETDB1-mediated methylation of lysine 64 of the protein kinase Akt1. Treatment with (R,R)-59 also increased Akt1 threonine 308 phosphorylation and activation, a known consequence of Akt1 methylation, resulting in stimulated cell proliferation in a dose-dependent manner. (R,R)-59 is the first SETDB1 small-molecule positive activator for the methyltransferase activity of this protein. Mechanism of action studies show that full-length SETDB1 is required for significant in vitro methylation of an Akt1-K64 peptide, and that this activity is stimulated by (R,R)-59 primarily through an increase in catalytic activity rather than a change in SAM binding. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=63 SRC="FIGDIR/small/539986v1_ufig1.gif" ALT="Figure 1"> View larger version (15K): org.highwire.dtl.DTLVardef@5f4022org.highwire.dtl.DTLVardef@16ba47borg.highwire.dtl.DTLVardef@1fb8b0borg.highwire.dtl.DTLVardef@16595bc_HPS_FORMAT_FIGEXP M_FIG C_FIG

molecular biology↗

bioRxiv2023

PRMT1 is a critical dependency in clear cell renal cell carcinoma through its role in post-transcriptional regulation of DNA damage response genes

Biallelic inactivation of the Von Hippel-Lindau (VHL) tumor suppressor gene occurs in almost all cases of clear cell renal cell carcinoma (ccRCC) and leads to disrupted oxygen sensing and the upregulation of hypoxia-related genetic programs. Although the loss of VHL appears to be a necessary oncogenic driver event in the majority of ccRCC instances, it is not always a sufficient one. Large genomics studies have revealed that co-deletions of VHL with genes involved in chromatin regulation are common and important co-drivers of tumorigenesis. Several conserved evolutionary subtypes have been described clinically and the majority implicate disruptions in epigenetic regulators. It is now clear that impairments in cellular epigenetic mechanisms are important co-drivers of disease and signal a potential vulnerability in the epigenetic network of ccRCC cells relative to their normal counterparts. Using a clinically relevant panel of ccRCC models, we herein sought to exploit this potential vulnerability by screening a library of small molecule inhibitors that target a spectrum of epigenetic regulators. We identified MS023, an inhibitor of type I protein arginine methyltransferases (PRMTs) as an agent with antitumor activity. Using orthogonal genetic technologies, we further validated PRMT1 as the specific critical dependency for cancer growth. Mechanistically, our transcriptomic and functional analyses suggest that MS023 treatment results in substantial impairments to cell cycle and DNA damage repair (DDR) pathways, while spawning an accumulation of DNA damage over time. Our PRMT1 specific proteomics analysis revealed an interactome rich in RNA binding proteins including the specific regulator of DDR mRNA metabolism: the BCLAF1/THRAP3 complex. Further investigation suggests that MS023 treatment may result in impairments to DDR specific mRNA activities including nucleocytoplasmic transport and RNA splicing. Together, our data supports PRMT1 as a compelling target in ccRCC and informs a potential mechanism-based strategy for translational development.

cancer biology↗