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Post-translational chemical modification of E3 ligase for efficient target protein degradation.

Targeted protein degradation (TPD) has emerged as a powerful therapeutic strategy, with proteolysis-targeting chimeras (PROTACs) leading efforts to address previously undruggable targets. However, PROTACs face challenges such as low bioavailability and poor pharmacokinetic properties which limit their biological applications. Here, we report a strategy termed post-translational chemical modification targeting chimera (PTcM-TAC), which integrates ligand-directed chemistry into the PROTAC framework to achieve sustained target protein degradation through covalent modification of E3 ligases. PTcM-TAC incorporates an electrophilic dibromophenyl benzoate warhead into the linker connecting the E3 ligase ligand and the protein-of-interest (POI) ligand, enabling selective transfer of the POI ligand onto the recruited E3 ligase while releasing the E3-binding moiety. Mechanistic studies, including LC-MS/MS peptide mapping, pull-down assays, and structural modeling, demonstrated site-selective modification of CRBN by the PTcM-TAC. The resulting ligand-labeled E3 ligase enables sustained pseudo-catalytic target recognition through a simplified binary interaction, thereby maintaining degradation activity even after compound washout. Furthermore, we successfully applied the PTcM-TAC strategy to another representative E3 ligase, von Hippel-Lindau (VHL), which exhibited substantially sustained degradation activity compared with conventional PROTACs. To our knowledge, PTcM-TAC represents the first ligand-directed chemical strategy that converts transient PROTAC-mediated ternary complex formation into binary target recognition via post-translational chemical modification of an E3 ligase. We believe that PTcM-TAC could provide a platform for next-generation targeted protein degraders to overcome the current limitation of PROTAC approach.

Ubiquitin-Protein Ligases

Resistance versus concurrent training with three assigned protein targets in middle-aged and older women: a randomized 2 × 3 factorial trial.

BACKGROUND: Evidence is limited regarding whether assigned protein targets modify responses to resistance training (RT) alone or to the same RT program plus cycling (concurrent training [CT]) in middle-aged and older women. This randomized 2&#x2009;&#xd7;&#x2009;3 factorial trial examined bioelectrical impedance analysis (BIA)-derived skeletal muscle mass (SMM; primary outcome), other body composition outcomes, muscular and functional performance, and cycle-derived estimated VO&#x2082;max. METHODS: In this randomized 2&#x2009;&#xd7;&#x2009;3 factorial trial, 108 women aged 40-77 years were assigned to 12 weeks of supervised RT or CT (identical RT followed by cycling) and protein targets of 0.8, 1.6, or 2.2 g&#xb7;kg-1&#xb7;d-1. Baseline-adjusted ANCOVA tested training&#x2009;&#xd7;&#x2009;protein interactions and marginal training and protein effects. Complete-case analyses included 83 participants. RESULTS: For SMM, no training-condition&#x2009;&#xd7;&#x2009;protein-target interaction (p&#x2009;=&#x2009;0.856), marginal protein-target effect (p&#x2009;=&#x2009;0.726), or marginal training-condition effect (p&#x2009;=&#x2009;0.273) was detected. CT had a lower baseline-adjusted week-12 BFP than RT (adjusted difference, -2.04 percentage points; 95% CI, -2.94 to -1.14; p&#x2009;<&#x2009;0.001). RT had a higher baseline-adjusted week-12 leg-press estimated 1-RM than CT (CT - RT: -6.68 kg; 95% CI, -8.32 to -5.04; p&#x2009;<&#x2009;0.001), whereas CT had a higher baseline-adjusted week-12 cycle-derived estimated VO&#x2082;max (adjusted difference, 4.53 mL&#xb7;kg-1&#xb7;min-1; 95% CI, 3.80 to 5.25; p&#x2009;<&#x2009;0.001). No detectable marginal protein-target effects or training-condition&#x2009;&#xd7;&#x2009;protein-target interactions were observed for the key secondary outcomes. CONCLUSIONS: No detectable differences in SMM or key secondary outcomes were attributable to assigned protein target. Compared with RT, CT favored estimated aerobic fitness and BFP, whereas RT favored leg-press strength. Because CT included additional cycling and greater exercise exposure, these differences cannot be attributed solely to training modality. Null protein findings do not establish equivalence among doses.

Humans

TogoPhosTAC as a delivery-ready platform for targeted protein dephosphorylation.

Phosphorylation-targeting chimeras (PhosTACs) enable targeted protein dephosphorylation by recruiting phosphatases through induced proximity. However, the direct recruitment of phosphatase subunits or holoenzymes with small molecules remains challenging, as suitable ligands are scarce and often compromise enzymatic activity or cellular function. Here, we present togoPhosTAC, a hybrid modality that integrates a small-molecule PhosTAC, an engineered FKBP12F36V-phosphatase, and a lipid nanoparticle delivery system. This strategy allows delivery of preassembled PhosTAC-FKBP12F36V-phosphatase complexes or PhosTAC-phosphatase mRNA, enabling rapid and efficient intracellular dephosphorylation. We demonstrate that togoPhosTAC can selectively dephosphorylate EGFR, &#x3b1;-synuclein, and tau in biological contexts, providing a versatile strategy that circumvents the need for genetically engineered phosphatases. We also find togoPhosTAC further enhances tau dephosphorylation as well as its disaggregation in cellulo. Importantly, intrahippocampal or intranasal delivery of togoPhosTAC in PS19 tau transgenic male mice leads to a marked reduction in pathological tau phosphorylation across multiple sites (Ser202, Thr205, Thr231, Ser396, and Ser404), decreases pathological tau burden in related brain regions, and improves Alzheimer's disease-related behavioral deficits. Together, these findings establish a versatile and generalizable approach for precise protein dephosphorylation in disease-relevant systems, overcoming key limitations in phosphatase-recruiting drug discovery.

Animals

A proteomic study of SUMO-2 target proteins.

The SUMO family in vertebrates includes at least three distinct proteins (SUMO-1, -2, and -3) that are added as post-translational modifications to target proteins. A considerable number of SUMO-1 target proteins have been identified, but little is known about SUMO-2. A stable HeLa cell line expressing His6-tagged SUMO-2 was established and used to label and purify novel endogenous SUMO-2 target proteins. Tagged forms of SUMO-2 were functional and localized predominantly in the nucleus. His6-tagged SUMO-2 conjugates were affinity-purified from nuclear fractions and identified by mass spectrometry. Eight novel potential SUMO-2 target proteins were identified by at least two peptides. Three of these proteins, SART1, heterogeneous nuclear ribonucleoprotein (RNP) M, and the U5 small nuclear RNP 200-kDa helicase, play a role in RNA metabolism. SART1 and heterogeneous nuclear RNP M were both shown to be genuine SUMO targets, confirming the validity of the approach.

Antigens, Neoplasm

Distinct and overlapping sets of SUMO-1 and SUMO-2 target proteins revealed by quantitative proteomics.

The small ubiquitin-like modifier (SUMO) family in vertebrates includes three different family members that are conjugated as post-translational modifications to target proteins. SUMO-2 and -3 are nearly identical but differ substantially from SUMO-1. We used quantitative proteomics to investigate the target protein preferences of SUMO-1 and SUMO-2. HeLa cells were established that stably express His6-SUMO-1 or His6-SUMO-2. These cell lines and control HeLa cells were labeled with stable arginine isotopes, and His6-SUMOs were enriched from lysates using immobilized metal affinity chromatography. 53 SUMO-conjugated proteins were identified, including 44 novel SUMO targets. 25 proteins were preferentially conjugated to SUMO-1, 19 were preferentially conjugated to SUMO-2, and nine proteins were conjugated to both SUMO-1 and SUMO-2. SART1 was confirmed by immunoblotting to have both SUMO-1- and SUMO-2-linked forms at similar levels. SUMO-1 and SUMO-2 are thus shown to have distinct and overlapping sets of target proteins, indicating that SUMO-1 and SUMO-2 may have both redundant and non-redundant cellular functions. Interestingly, 14 of the 25 SUMO-1-conjugated proteins contain zinc fingers. Although both SUMO family members play roles in many cellular processes, our data show that sumoylation is strongly associated with transcription because nearly one-third of the identified target proteins are putative transcriptional regulators.

Chromatography, Affinity

Oncogene activation mechanism determines the limits of targeted protein degradation.

Protein degrader drugs such as PROTACs are being advanced as therapeutics targeted against oncogenic proteins. During tumorigenesis, oncogenic proteins can become constitutively activated via mechanisms including gene amplification, which increases protein production, and point mutations, which can extend protein half-life. Few experimental studies have addressed how disease-associated changes in target protein homeostasis influence PROTAC activity. We developed orthogonal methods to increase production or enhance stability of &#x3b2;-catenin, an important oncoprotein and target for degrader therapeutics, and used the dTAG system to evaluate the consequences for PROTAC activity. Stabilizing oncogenic missense mutations increase protein expression up to 5-fold but do not alter the PROTAC-imposed minimal steady-state level. In contrast, transcriptional upregulation increases both pre- and post-treatment target levels, revealing a synthesis-dependent ceiling on achievable depletion. Our results highlight distinct constraints on PROTAC activity arising from different mechanisms of oncogene activation, with potential implications for preclinical modeling, drug resistance and personalized medicine.

Humans

Recent medicinal chemistry efforts of targeting protein kinases for treating neurological conditions of Parkinson's and Alzheimer's diseases.

The human genome encodes a wide variety of protein kinases that regulate multiple cellular functions. These enzymes play a crucial role in amplifying and propagating intracellular signals during signal transduction. Dysregulation of protein kinase signaling is associated with vascular diseases, inflammatory disorders, cancer, and various neurological conditions. Kinase-targeted therapies have already demonstrated clinical efficacy in oncology and inflammatory diseases, prompting growing interest in their potential application in neurodegenerative disorders such as Alzheimer's disease (AD) and Parkinson's disease (PD). Several kinases, including PDK1, CK1, CK2, c-Abl, p38 MAPK, PKA, GSK-3&#x3b2;, PINK1, and ROCK, have been implicated in the pathogenesis of AD and PD, highlighting their potential as therapeutic targets. However, the development of kinase inhibitors for central nervous system (CNS) disorders remains challenging due to limited blood-brain barrier (BBB) penetration and cytochrome P450-mediated metabolism. This review summarizes protein kinase targets involved in AD and PD, discusses kinase inhibitors under preclinical and clinical investigation, and highlights emerging strategies to overcome pharmacokinetic and therapeutic limitations in the development of disease-modifying therapies.

Journal Article

Pentatricopeptide repeat protein targeting CUG repeat RNA ameliorates RNA toxicity in a myotonic dystrophy type 1 mouse model.

Myotonic dystrophy type 1 (DM1) is an autosomal dominant multisystemic disorder caused by the expansion of a CTG-triplet repeat in the 3' untranslated region of the dystrophia myotonica protein kinase (DMPK) gene. It results in the transcription of toxic RNAs that contain expanded CUG repeats (CUGexp). Splicing factors, such as muscleblind-like 1 (MBNL1), are sequestered by CUGexp, thereby disrupting the normal splicing program that is essential for various cellular functions. Pentatricopeptide repeat (PPR) proteins, originally found in plants, regulate RNA in organelles by binding in a sequence-specific manner. Here, we designed PPR proteins that specifically bind to the hexamer of CUG repeat RNAs (CUG-PPRs) and showed that CUG-PPR1 could ameliorate RNA toxicity induced by CUGexp in cell models of DM1. A single systemic recombinant adeno-associated virus (AAV9) vector-mediated gene delivery of CUG-PPR1 demonstrated long-term therapeutic effects on myotonia and restored splicing activity in a mouse model of DM1. These results highlight the potential of PPR molecules to target pathogenic RNA sequences in DM1 and potentially other RNA-mediated disorders.

Animals

Microsomal target proteins of metabolically activated aromatic hydrocarbons.

The specificity of binding to microsomal proteins of metabolically activated hydrocarbons has been studied. Radioactively labelled benzene, phenol, chlorobenzene, BP and MC were incubated with liver microsomes from control, phenobarbital- and MC-treated rats in the presence of an NADPH-generating system. The patterns of metabolite binding to microsomal proteins were examined by sodium dodecyl sulfate (SDS)-polyacrylamide gel electrophoresis and fluorography. Benzene, phenol and chlorobenzene metabolites showed one type of binding pattern dominated by a band at 72 000 Mr. This band was strong both in control and induced microsomes. Additional radioactive bands were seen in the 50 000--60 000 Mr region particularly in MC-induced microsomes. BP and MC metabolites showed a different type of binding pattern with incorporation of radioactivity into several fractions in the 50 000--60 000 Mr region of MC-induced microsomes. Two other strongly labelled fractions occurred at 68 000 and 72 000 Mr. The incorporation was low into control and phenobarbital-induced microsomes. Two labelled bands (Mr 56 000 and 72 000) were common for all hydrocarbons in MC-induced microsomes. The 56 000 Mr band had the same mobility in the gel as an MC-induced protein likely to be cytochrome P-448. The NADPH-generating system was essential for metabolite binding and GSH and UDPGA greatly reduced binding. We suggest that differences in metabolite binding patterns reflect differences in the routes of metabolite formation and that activated hydrocarbons are likely to bind to proteins close to their site of formation.

Animals

Alternative interactions between the Tn7 transposase and the Tn7 target DNA binding protein regulate target immunity and transposition.

The Tn7 transposon avoids inserting into a target DNA that contains a pre-existing copy of Tn7. This phenomenon, known as 'target immunity', is established when TnsB, a Tn7 transposase subunit, binds to Tn7 sequences in the target DNA and mediates displacement of TnsC, a critical transposase activator, from the DNA. Paradoxically, TnsB-TnsC interactions are also required to promote transposon insertion. We have probed Tn7 target immunity by isolating TnsB mutants that mediate more frequent insertions into a potentially immune target DNA because they fail to provoke dissociation of TnsC from the DNA. We show that a single region of TnsB mediates the TnsB-TnsC interaction that underlies both target immunity and transposition, but that TnsA, the other transposase subunit, channels the TnsB-TnsC interaction toward transposition.

Amino Acid Sequence

Expression patterns of potential targets for antibody-directed therapy in metastatic castration-resistant prostate cancer patients.

INTRODUCTION: Survival in metastatic castration-resistant prostate cancer (mCRPC) patients remains limited and treatment is complicated by tumor heterogeneity. As antibody-based therapeutics emerge, identifying actionable antigen targets and patient subgroups most likely to benefit is essential. MATERIALS & METHODS: Gene expression of 62 antibody-targetable proteins was analyzed in 296 mCRPC biopsies. These genes encode proteins targeted by approved or investigational antibody-based cancer therapeutics. Associations between target expression with genomic classifications and transcriptomic subtypes were evaluated. Target expression was also assessed in tumors with low expression of established mCRPC targets. Subgroup-specific targets were validated in an independent cohort and single-cell transcriptomics. RESULTS: Established targets KLK2, FOLH1 (PSMA) and STEAP1 showed the highest median expression across the cohort. Target expression did not correlate with genomic classifications, including homologous recombination deficiency, microsatellite instability, CDK12, TP53, PTEN or AR alterations Target expression did associate with transcriptomic subtypes: CRPC-AR (driven by androgen receptor-signaling) and CRPC-SCL (stem cell-like features, AP-1/YAP/TAZ-driven), displayed the highest expression of multiple targets, including KLK2, FOLH1, and SLC44A4. CRPC-NE (neuroendocrine phenotype) showed heterogeneous expression, with high CD46 expression, whereas CRPC-WNT (Wnt-signaling driven) generally showed low target expression. Notably, CD46 was highly expressed in tumors with low KLK2, FOLH1, and STEAP1 expression, a subgroup associated with poor prognosis. CONCLUSIONS: Although several antibody targets showed broad expression in mCRPC-tumors, expression varied by transcriptomic subtype. Subgroups such as CRPC-WNT expressed fewer targets, suggesting the need for alternative therapeutic strategies. CD46 emerged as a promising target, with wide expression across multiple subtypes, including clinically challenging CRPC-NE and mCRPC tumors lacking expression of established targets.

Humans

Proteomics-Driven Strategies for Proximity-Inducing Drug Discovery.

In recent years, proximity-inducing drugs have emerged as a novel therapeutic modality that induces or stabilizes protein-protein interactions, especially by recruiting effector proteins to specific target proteins, thereby achieving functions beyond traditional inhibitors. The potential of proximity-inducing drugs extends beyond targeted protein degradation (TPD), as studies have demonstrated their ability to regulate biological processes such as signal transduction, gene transcription, chromatin regulation, and protein trafficking by modulating protein interaction networks. Rational discovery of proximity-inducing drugs requires clarifying their effects on protein-protein interactions, determining drug selectivity, and developing suitable ligands for drug construction. Proteomics has become a central technology in drug discovery, enabling global identification of the direct drug targets and systematic characterization of proteome-wide downstream responses. This provides a more refined map of drug mechanisms. In parallel, advances in machine learning applied to proteomic data, together with the expansion of proteome-wide ligandability maps, are further accelerating the discovery and optimization of proximity-inducing drugs. This review summarizes recent advances of proximity-inducing drugs, with a particular emphasis on how proteomics facilitates target space expansion, drug efficacy optimization, and ligandability discovery, alongside the emerging contributions of machine learning. Collectively, these insights aim to support the rational development of next-generation proximity-inducing drugs.

Drug Discovery

Target Antigen Identification for Antibody Drug Conjugate Therapy in Biliary Tract Cancer.

BACKGROUND: Data on antibody-drug conjugates (ADCs) target expression prevalence, intertumoral heterogeneity, genomic concordance, and its effect on clinical outcomes is limited in biliary tract cancers (BTC). METHODS: Resected primary BTC specimens, and when available, matched metastatic samples were assembled into tissue microarrays and tested for CLDN18.2, c-MET, Nectin-4, TROP2, and HER2 expression by immunohistochemistry (IHC). A subset underwent targeted next-generation sequencing using MSK-IMPACT (NCT01775072). Exploratory associations of target expression with clinicopathologic parameters, genomic alterations, recurrence-free (RFS), and overall (OS) survival were evaluated. RESULTS: 65 patients with resected BTC and 18 paired metastatic sites were identified-43% extrahepatic cholangiocarcinoma, 40% intrahepatic cholangiocarcinoma, and 17% gallbladder cancer. All evaluated target antigens were expressed; percent positivity and H-score &#x2265;200 were: TROP2 (83%, 26%), c-MET (75%, 26%), Nectin-4 (66%, 35%), and CLDN18.2 (46%, 7.7%). HER2 overexpression occurred in 3.1% of tumors. Overall agreement among paired primary and metastatic samples on calling either positive or negative ranged from 43% to 75% with the highest observed for HER2 [75%; &#x3ba;=0.29 (95%CI: -0.32 to 0.91)] and TROP2 (71%; &#x3ba; not available) and lowest for c-MET, CLDN18.2, and Nectin-4. Frequently altered genes included TP53 (36%), SMAD4 (27%), ELF3 (21%). We observed no significant association between target antigen expression with genomics, RFS, or OS. CONCLUSIONS: BTC displays frequent but heterogeneous expression of multiple ADC targets. These hypothesis generating findings suggest inherent complexity of target protein quantification, target threshold determination, and target sampling discordance. Future studies will be required to refine our understanding the utlitiy of ADCs in BTC.

Journal Article

Drug target ontology to classify and integrate drug discovery data.

BACKGROUND: One of the most successful approaches to develop new small molecule therapeutics has been to start from a validated druggable protein target. However, only a small subset of potentially druggable targets has attracted significant research and development resources. The Illuminating the Druggable Genome (IDG) project develops resources to catalyze the development of likely targetable, yet currently understudied prospective drug targets. A central component of the IDG program is a comprehensive knowledge resource of the druggable genome. RESULTS: As part of that effort, we have developed a framework to integrate, navigate, and analyze drug discovery data based on formalized and standardized classifications and annotations of druggable protein targets, the Drug Target Ontology (DTO). DTO was constructed by extensive curation and consolidation of various resources. DTO classifies the four major drug target protein families, GPCRs, kinases, ion channels and nuclear receptors, based on phylogenecity, function, target development level, disease association, tissue expression, chemical ligand and substrate characteristics, and target-family specific characteristics. The formal ontology was built using a new software tool to auto-generate most axioms from a database while supporting manual knowledge acquisition. A modular, hierarchical implementation facilitate ontology development and maintenance and makes use of various external ontologies, thus integrating the DTO into the ecosystem of biomedical ontologies. As a formal OWL-DL ontology, DTO contains asserted and inferred axioms. Modeling data from the Library of Integrated Network-based Cellular Signatures (LINCS) program illustrates the potential of DTO for contextual data integration and nuanced definition of important drug target characteristics. DTO has been implemented in the IDG user interface Portal, Pharos and the TIN-X explorer of protein target disease relationships. CONCLUSIONS: DTO was built based on the need for a formal semantic model for druggable targets including various related information such as protein, gene, protein domain, protein structure, binding site, small molecule drug, mechanism of action, protein tissue localization, disease association, and many other types of information. DTO will further facilitate the otherwise challenging integration and formal linking to biological assays, phenotypes, disease models, drug poly-pharmacology, binding kinetics and many other processes, functions and qualities that are at the core of drug discovery. The first version of DTO is publically available via the website http://drugtargetontology.org/ , Github ( http://github.com/DrugTargetOntology/DTO ), and the NCBO Bioportal ( http://bioportal.bioontology.org/ontologies/DTO ). The long-term goal of DTO is to provide such an integrative framework and to populate the ontology with this information as a community resource.

Biological Ontologies

Conserved Filovirus Proteins as Targets of Broad-Spectrum Antivirals.

Filoviruses are enveloped, non-segmented, negative-strand RNA viruses belonging to the Filoviridae family, which includes five genera: Ebolavirus, Marburgvirus, Cuevavirus, Striavirus, and Thamnovirus. Members of this family cause severe and, often, fatal hemorrhagic fevers in humans and non-human primates, with high mortality rates. To date, only two filoviruses, Ebola virus (EBOV) and Marburg virus (MARV), are known to infect humans and are listed as priority pathogens by the World Health Organization due to their potential for re-emergence and the current lack of effective vaccines and antiviral treatments. In this study, we identify and characterize conserved binding sites within key filoviral proteins to support the development of broad-spectrum, direct-acting antiviral agents. We validated the significance of these conserved regions for drug discovery using existing experimental data. Our analysis revealed notably high sequence similarity among proteins from filoviruses capable of infecting humans (EBOV, TAFV, BDBV, SUDV, MARV, and RAVV) compared to those from non-zoonotic species, with the highest conservation observed in the L and VP40 proteins-both critical for viral genome transcription and replication. Furthermore, we compiled and analyzed available experimental data on known antiviral compounds targeting these proteins, identifying several agents with cross-filovirus activity, including Galidesivir, Remdesivir, and Favipiravir. The integrated approach described here-combining sequence and structural conservation analysis with chemical structure and antiviral activity data-demonstrates a strategy that could be extended to the development of broad-spectrum therapeutics across multiple viral families.

Broad Spectrum Antiviral

An essential and highly selective protein import pathway encoded by nucleus-forming phage.

UNLABELLED: Targeting proteins to specific subcellular destinations is essential in prokaryotes, eukaryotes, and the viruses that infect them. Chimalliviridae phages encapsulate their genomes in a nucleus-like replication compartment composed of the protein chimallin (ChmA) that excludes ribosomes and decouples transcription from translation. These phages selectively partition proteins between the phage nucleus and the bacterial cytoplasm. Currently, the genes and signals that govern selective protein import into the phage nucleus are unknown. Here we identify two components of this novel protein import pathway: a species-specific surface-exposed region of a phage intranuclear protein required for nuclear entry and a conserved protein, PicA, that facilitates cargo protein trafficking across the phage nuclear shell. We also identify a defective cargo protein that is targeted to PicA on the nuclear periphery but fails to enter the nucleus, providing insight into the mechanism of nuclear protein trafficking. Using CRISPRi-ART protein expression knockdown of PicA, we show that PicA is essential early in the chimallivirus replication cycle. Together our results allow us to propose a multistep model for the Protein Import Chimallivirus (PIC) pathway, where proteins are targeted to PicA by amino acids on their surface, and then licensed by PicA for nuclear entry. The divergence in the selectivity of this pathway between closely-related chimalliviruses implicates its role as a key player in the evolutionary arms race between competing phages and their hosts. SIGNIFICANCE STATEMENT: The phage nucleus is an enclosed replication compartment built by Chimalliviridae phages that, similar to the eukaryotic nucleus, separates transcription from translation and selectively imports certain proteins. This allows the phage to concentrate proteins required for DNA replication and transcription while excluding DNA-targeting host defense proteins. However, the mechanism of selective trafficking into the phage nucleus is currently unknown. Here we determine the region of a phage nuclear protein that targets it for nuclear import and identify a conserved, essential nuclear shell-associated protein that plays a key role in this process. This work provides the first mechanistic model of selective import into the phage nucleus.

Preprint

Hepatocyte proteome destabilization and novel targets for PFASs unveiled through combined thermal proteome profiling and deep transfer learning.

Identifying protein targets for per- and polyfluoroalkyl substances (PFASs) is essential to understand their toxicity and health risks. However, knowledge about their interacting proteins is limited since reliable identification methods are lacking. We developed an integrated approach combining thermal proteome profiling (TPP) and deep transfer learning (DTL) modeling to efficiently identify cellular targets of PFAS. TPP measured PFAS binding proteins and the affinities by nanospray liquid chromatography tandem mass spectrometry, while DTL models were constructed to predict PFAS-protein affinities using neural network algorithms. TPP results revealed that PFASs uniquely destabilized the proteome of HepG2 cells, unlike the stabilizing effects by other xenobiotics. Key protein targets for three representative PFASs (PFOA, GenX and Novec 649) were identified, which exhibited weak binding affinities (median EC50 &#x2248; 30&#x202f;&#x3bc;M). The number of protein targets increased with molecular weights among the three PFASs. The DTL model achieved a higher Pearson correlation coefficient of 0.89, and reduced mean squared errors by 54&#x202f;% over previous models for drug-protein interactions. Notably, TPP and DTL jointly pinpointed ribosomal proteins as novel targets of GenX, potentially linking it to cell apoptosis through disrupted protein synthesis. Biolayer interferometry validated GenX binding to RPL4 protein, driven by electrostatic interactions and halogen bonds. This integrated approach effectively uncovers novel PFASs targets, advancing insights into their adverse health effects.

Humans