Biology subjects

Jiang, Z.

Publications and source records attributed to Jiang, Z..

At least 109 records · Page 6Linked to original sources

bioRxiv2024

Comprehensive assembly of monoclonal and mixed antibody sequences

The elucidation of antibody sequence information is crucial for understanding antigen binding and advancing therapeutic and research applications. However, complete de novo assembly of monoclonal antibody sequences remains challenging due to accuracy and robustness limitations. To address this issue, we introduce Fusion, an innovative de novo assembler that integrates overlapping peptides and template information into complete sequences using a beam search strategy. We demonstrate Fusions performance by reconstructing multiple human and murine antibodies with highest accuracy (100% and over 99%, respectively). Biological validation of the recombinantly expressed AFS98 antibody with unknown sequences further supports its effectiveness. Furthermore, current methods are applicable only to traditional monoclonal antibody sequencing assembly, presenting a significant bottleneck in achieving higher throughput. In contrast, Fusion can assemble peptide sequences from mixtures of two or three monoclonal antibodies into complete individual sequences with the same accuracy as traditional sequencing, significantly enhancing throughput. To our knowledge, this is the first study enabling high-throughput sequencing of multiple antibodies using only bottom-up mass spectrometry. The duration, expense, and reagent consumption of mass spectrometry detection are comparable to those required for sequencing a single monoclonal antibody. In summary, Fusions superior performance in handling the complex antibody sequencing represents a significant advancement in antibody research.

bioinformatics↗

bioRxiv2024

Glucocorticoids desensitize CRH neurons to norepinephrine via rapid nitrosylation-dependent regulation of α1 adrenoreceptor trafficking

Noradrenergic afferents to hypothalamic corticotropin releasing hormone (CRH) neurons provide a major excitatory drive for somatic stress activation of the hypothalamic-pituitary-adrenal (HPA) axis. We showed that glucocorticoids rapidly desensitize CRH neurons to norepinephrine and suppress inflammation-induced HPA activation via a glucocorticoid receptor- and endocytosis-dependent mechanism. Here, we show that 1 adrenoreceptor (AR1) trafficking is regulated by convergent glucocorticoid and nitric oxide synthase signaling mechanisms. Live-cell imaging of AR1b-eGFP-expressing hypothalamic cells revealed rapid corticosterone-stimulated redistribution of internalized AR1 from rapid recycling endosomes to late endosomes and lysosomes via a nitrosylation-regulated mechanism. Proximity assay demonstrated interaction of glucocorticoid receptors with AR1b and {beta}-arrestin, and showed corticosterone blockade of norepinephrine-stimulated AR1b/{beta}-arrestin interaction, which may prevent AR1b from entering the rapid recycling endosomal pathway. These findings demonstrate a rapid glucocorticoid regulation of G protein-coupled receptor trafficking and provide a molecular mechanism for rapid glucocorticoid desensitization of noradrenergic signaling in CRH neurons.

neuroscience↗

bioRxiv2024

An emerging PB2-627 polymorphism increases the pandemic potential of avian influenza virus by breaking through ANP32 host restriction in mammalian and avian hosts

Alterations in the PB2-627 domain could substantially increase the risk of an avian influenza virus (AIV) pandemic. So far, a well-known mammalian mutation PB2-E627K has not been maintained in AIV in poultry, which limits the spread of AIVs from avian to humans. Here, we discovered a variant, PB2-627V, which combines the properties of avian-like PB2-627E and human-like PB2-627K, overcoming host restrictions and posing a risk for human pandemics. Specifically, by screening the global PB2 sequences, we discovered a new independent cluster with PB2-627V emerged in the 2010s, which is prevalent in various avian, mammalian, and human isolates of AIVs, including H9N2, H7N9, H3N8, 2.3.4.4b H5N1, and other subtypes. And, the increasing prevalence of PB2-627V in poultry is accompanied by a rise in human infection cases with this variant. Then we systematically assessed its host adaptation, fitness, and transmissibility across three subtypes of AIVs (H9N2, H7N9, and H3N8) in different host models, including avian and human cells, chickens, mice, and ferrets where infections naturally occur. We found that PB2-627V facilitates AIVs to efficiently infect and replicate in chickens and mice by utilizing both avian- and human-origin ANP32A proteins. Importantly, and like PB2-627K, PB2-627V promotes efficient transmission between ferrets through respiratory droplets. Deep sequencing in passaged chicken samples and transmitted ferret samples indicates that PB2-627V remains stable across the two distinct hosts and has a high potential for long-term prevalence in avian species. Therefore, the mutation has the ability to continue spreading among poultry and can also overcome the barrier between birds and humans, greatly enhancing the likelihood of AIVs infecting humans. Given the escalating global spread of AIVs, it is crucial to closely monitor influenza viruses carrying PB2-627V to prevent a pandemic.

microbiology↗

bioRxiv2024

Identification of cuproptosis and ferroptosis-related subtypes and development of a prognostic signature in colon cancer

Colon cancer, as a highly prevalent malignant tumor globally, poses a significant threat to human health. In recent years, ferroptosis and cuproptosis, as two novel forms of cell death, have attracted widespread attention for their potential roles in the development and treatment of colon cancer. However, the investigation into the subtypes and their impact on the survival of colon cancer patients remains understudied. In this study, utilizing data from TCGA and GEO databases, we examined the expression differences of ferroptosis and cuproptosis-related genes in colon cancer and identified two subtypes. Through functional analysis and bioinformatics methods, we elucidated pathway differences and biological characteristics between these two subtypes. By leveraging differential genes between the two subtypes, we constructed a prognostic model using univariate Cox regression and multivariate Cox regression analysis as well as LASSO regression analysis. Further survival analysis and receiver operating characteristic curve analysis demonstrated the models high accuracy. To enhance its clinical utility, we evaluated the clinical significance of the model and constructed a nomogram, significantly improving the predictive ability of the model and providing a new tool for prognostic assessment of colon cancer patients. Subsequently, through immune-related analysis, we revealed differences in immune cell infiltration and immune function between high- and low-risk groups. Further analysis of the relationship between the model and immune cells and functions revealed potential therapeutic targets. Drug sensitivity analysis revealed associations between the expression of model-related genes and drug sensitivity, suggesting their involvement in tumor resistance through certain mechanisms. AZD8055_1059, Bortezomib_1191, Dihydrorotenone_1827, and MG-132_1862 were more sensitive in the high-risk group. Finally, we analyzed differential expression of model-related genes between tumor tissues and normal tissues, validated through real-time quantitative PCR. In summary, our study provides a relatively accurate prognostic tool for colon cancer patients, offering guidance for treatment selection and indicating the potential of immunotherapy in colon cancer.

bioinformatics↗

bioRxiv2024

IDH1 regulates human erythropoiesis by eliciting chromatin state reprogramming in a metabolic enzyme independent manner

Isocitrate dehydrogenase 1 (IDH1) is the key enzyme that was involved in the modulation of cellular metabolism, epigenetic modification and redox states homeostasis. Gain-of-function mutations and decreased expression of IDH1 have been demonstrated to be tightly associated with the pathogenesis of various myeloid malignancies characterized by ineffective erythropoiesis, such as acute myeloid leukemia (AML) and myelodysplastic syndrome (MDS). However, the function and mechanism of IDH1 in human erythropoiesis still remains to be further explored. Here, utilizing the human erythropoiesis system, we present an evidence of IDH1-mediated chromatin state reprogramming besides its well-characterized metabolism effects. We showed that knockdown of IDH1 induced chromatin reorganization and subsequently led to abnormalities of various key biological events in erythroid precursors, which could not be rescued by addition of reactive oxygen species (ROS) scavengers or supplementation of -ketoglutarate (-KG). We further revealed that deficiency of IDH1 induces genome-wide changes in distribution and intensity of multiple histone marks, among which H3K79me3 was identified as a critical factor in chromatin state reprogramming. Integrated analysis of ChIP-seq, ATAC-seq and RNA-seq recognized that SIRT1 was the key gene affected by IDH1 deficiency. Thus, our current work provided novel insights for further clarifying fundamental biological function of IDH1 which has substantial implications for an in-depth understanding of pathogenesis of diseases with IDH1 dysfunction and accordingly development of therapeutic strategies. Key PointsO_LIIDH1 deficiency impaired terminal erythropoiesis; C_LIO_LIIDH1 deficiency leads to chromatin states reprogramming by causing aberrant accumulation and genome-wide re-distribution of H3K79me3; C_LIO_LIDyserythropoiesis is caused by upregulation of SIRT1 induced by H3K79me3 accumulation. C_LI Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=81 SRC="FIGDIR/small/599556v2_ufig1.gif" ALT="Figure 1"> View larger version (28K): org.highwire.dtl.DTLVardef@328986org.highwire.dtl.DTLVardef@1e2e8a0org.highwire.dtl.DTLVardef@166885org.highwire.dtl.DTLVardef@1283261_HPS_FORMAT_FIGEXP M_FIG C_FIG

cell biology↗

bioRxiv2024

Deciphering Arabidopsis thaliana Acclimation to Sublethal Combined Abiotic Stresses

Plants are frequently exposed to environmental challenges. Responses to sub-lethal abiotic stress combinations are complex and often distinct from responses to individual stresses and remain poorly understood. Investigating traits and molecular factors mediating acclimation to stress combinations is essential for the development of climate change-resilient field crops. Here, we studied the morphological, physiological, and molecular responses of Arabidopsis thaliana to i) co-occurring high temperature and drought and ii) flooding sequentially followed by drought, both of which have increased in frequency due to climate change. A set of 15 physiological and morphological traits were assessed during single and combined stresses. By combining these comprehensive trait analyses with transcriptome characterization, we established the generally additive effects of simultaneous or sequential stresses on plant morphology and physiology compared to the corresponding individual stresses. Although drought had a mild effect in both stress combinations, a unique transcriptome signature emerged upon combination with high temperature simultaneously or flooding sequentially. Molecular processes identified as important for multi-stress resilience included plastid-nucleus communication, ABA signaling and photo-acclimation. Based on the RNA-seq data, a set of 39 genes was identified as potential multi-stress response regulators. Mutants were tested to validate their contribution to plant survival and phenotypic acclimation under combined stress. We confirmed the involvement of several genes in regulating phenotypic acclimation traits. Among the novel identified factors are EARLY FLOWERING 6 (ELF6) and ARABIDOPSIS TOXICOS EN LEVADURA (ATL80), with significant effects on plant growth, leaf development and plant survival (wilting) during high-temperature drought and post-submergence drought respectively.

plant biology↗

bioRxiv2024

Preeclampsia-specific immune cell network in placenta revealed by Cytometry by time of flight and single-cell RNA-seq

Preeclampsia (PE), a major cause of maternal and perinatal mortality with highly heterogeneous causes and symptoms, is usually complicated by gestational diabetes mellitus (GDM). However, a comprehensive understanding of the immune microenvironment in the placenta of PE and the differences between PE and GDM is still lacking. In this study, Cytometry by time of flight (CyTOF) indicated that the frequencies of memory-like Th17 cells (CD45RA-CCR7+IL-17A+CD4+), memory-like CD8+ T cells (CD38+CXCR3-CCR7+Helios-CD127-CD8+) and pro-inflam Macs (CD206-CD163-CD38midCD107alowCD86midHLA-DRmidCD14+) were increased, while the frequencies of anti-inflam Macs (CD206+CD163-CD86midCD33+HLA-DR+CD14+) and granulocyte myeloid-derived suppressor cells (gMDSCs, CD11b+CD15hiHLA-DRlow) were decreased in the placenta of PE compared with that of NP, but not in that of GDM or GDM&PE. The pro-inflam Macs were positively correlated with memory-like Th17 cells and memory-like CD8+ T cells but negatively correlated with gMDSCs. Single-cell RNA sequencing revealed that transferring the F4/80+CD206- pro-inflam Macs with a Folr2+Ccl7+Ccl8+C1qa+C1qb+C1qc+ phenotype from the uterus of PE mice to normal pregnant mice induced the production of memory-like IL-17a+Rora+Il1r1+TNF+Cxcr6+S100a4+CD44+ Th17 cells via IGF1-IGF1R, which contributed to the development and recurrence of PE. Pro-inflam Macs also induced the production of memory-like CD8+ T cells but inhibited the production of Ly6g+S100a8+S100a9+Retnlg+Wfdc21+ gMDSCs at the maternal-fetal interface, leading to PE-like symptoms in mice. In conclusion, this study revealed the PE-specific immune cell network, which was regulated by pro-inflam Macs, providing new ideas about the pathogenesis of PE.

immunology↗

bioRxiv2024

Discovery of Potent Degraders of the Dengue Virus Envelope Protein

Targeted protein degradation has been widely adopted as a new approach to eliminate both established and previously recalcitrant therapeutic targets. Here we report the development of small molecule degraders of the envelope (E) protein of dengue virus. We developed two classes of bivalent E-degraders, linking two previously reported E-binding small molecules, GNF-2 and CVM-2-12-2, to a glutarimide-based recruiter of the CRL4CRBN ligase to effect proteosome-mediated degradation of the E protein. ZXH-2-107 (based on GNF-2) is an E degrader with ABL inhibition while ZXH-8-004 (based on CVM-2-12-2) is a selective and potent E-degrader. These two compounds provide proof-of-concept that difficult-to-drug targets such as a viral envelope protein can be effectively eliminated using a bivalent degrader and provide starting points for the future development of a new class antiviral drugs.

biochemistry↗

bioRxiv2024

Unravelling an Efficient O2/Reductant-Dependent Catalytic Route in Heme Peroxygenases for Sustainable Applications

Heme peroxygenases are attractive biocatalysts for incorporating oxygen into the organic molecules using H2O2 as oxygen source under mild conditions. However, their practical applications are hindered by irreversible oxidative inactivation caused by exogenous H2O2 usage. Herein, we report a novel catalytic pathway in heme peroxygenases that relies on O2 and small-molecule reductants such as ascorbate acid (AscA), dehydroascorbic acid (DHA), gallic acid (GA), or pyrogallol (PA) to drive reactions. For reactions of unspecific peroxygenase (UPO) with either AscA or DHA, experimental and computational studies revealed that DHAA (the hydrated form of DHA) is the actual co-substrate responsible for activating oxygen to generate oxyferryl heme (compound I, Cpd I) as the oxygenation species. Subsequently, we demonstrate the universality of this O2/reductant-dependent route across various heme peroxygenases, highlighting its biological significance as monooxygenases. Compared to the conventional H2O2-dependent process, this innovative route can efficiently eliminate the excessive production of H2O2, thereby preventing the heme destruction and related enzyme inactivation. Finally, scale-up reactions were performed for the preparations of chiral, value-added products with unprecedented productivity, underscoring the great synthetic capabilities of the developed peroxygenase technology, which paves the way for sustainable and practical applications in various chemical transformations.

bioengineering↗

bioRxiv2024

Cell-free synthesis and purification of recombinant nucleocapsid (N), membrane (M), and envelope (E) proteins

Rapid production of soluble recombinant antigens is important for developing in vitro diagnostics, vaccines, and drugs against virus such as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). In this research, hard-to-express nucleocapsid, membrane, and envelope proteins were successfully expressed by an Escherichia coli-based cell-free protein synthesis system. The solubility of the proteins was optimized using various amphipathic molecules. Most of the impurities were easily removed by a one-step Ni-NTA affinity chromatography. This study provides an easy and quick alternative for viruss trans-membrane and nucleotides associated recombinant protein expression, which has potential downstream application for early screening of newly emerging viruses.

synthetic biology↗

bioRxiv2024

Discovery and binding site identification of a single-stranded DNA-binding protein that interacts with double-stranded DNA

Scientists have conducted in-depth studies on single-stranded DNA (ssDNA) binding and protein interaction network of single-stranded DNA binding proteins (SSBs). SSBs are widely present in cells from lower prokaryotes to higher mammals and are important proteins for ssDNA protection. In-depth studies in recent years have revealed a wide range of interactions between SSBs and other proteins. Studies have shown that in addition to playing the role of ssDNA protector, SSBs are also important members of biochemical pathways such as DNA replication and recombination. In this study, a single-stranded DNA binding protein SSF encoded by E. coli F plasmid with highly conserved N-terminal region was demonstrated to have ssDNA binding ability similar to E. coli SSB through gel migration experiments. At the same time, the dsDNA binding ability of SSF was also demonstrated, and the dissociation constant of this interaction (in the range of microliters) was determined by Micro-scale Thermophoresis (MST). Through the above experiments, a previously unreported SSB with dsDNA binding ability was revealed, and the region interacting with dsDNA was determined to be the C-terminal unstructured region. This study lays a foundation for further understanding of the mechanism of bacterial conjugation conducted by F plasmid, as well as the potential dsDNA binding ability and biological significance of other SSBs.

biochemistry↗

bioRxiv2024

Cross-domain information fusion for enhanced cell population delineation in single-cell spatial-omics data

Cell population delineation and identification is an essential step in single-cell and spatial-omics studies. Spatial-omics technologies can simultaneously measure information from three complementary domains related to this task: expression levels of a panel of molecular biomarkers at single-cell resolution, relative positions of cells, and images of tissue sections, but existing computational methods for performing this task on single-cell spatial-omics datasets often relinquish information from one or more domains. The additional reliance on the availability of "atlas" training or reference datasets limits cell type discovery to well-defined but limited cell population labels, thus posing major challenges for using these methods in practice. Successful integration of all three domains presents an opportunity for uncovering cell populations that are functionally stratified by their spatial contexts at cellular and tissue levels: the key motivation for employing spatial-omics technologies in the first place. In this work, we introduce Cell Spatio- and Neighborhood-informed Annotation and Patterning (CellSNAP), a self-supervised computational method that learns a representation vector for each cell in tissue samples measured by spatial-omics technologies at the single-cell or finer resolution. The learned representation vector fuses information about the corresponding cell across all three aforementioned domains. By applying CellSNAP to datasets spanning both spatial proteomic and spatial transcriptomic modalities, and across different tissue types and disease settings, we show that CellSNAP markedly enhances de novo discovery of biologically relevant cell populations at fine granularity, beyond current approaches, by fully integrating cells molecular profiles with cellular neighborhood and tissue image information.

bioinformatics↗

bioRxiv2024

Revealing the principles of inter- and intra-domain regulation in a signaling enzyme via scanning mutagenesis

Multi-domain signaling enzymes are often regulated through extensive inter-domain interactions, and disruption of inter-domain interfaces by mutations can lead to aberrant signaling and diseases. For example, the tyrosine phosphatase SHP2 contains two phosphotyrosine recognition domains that auto-inhibit its catalytic domain. SHP2 is canonically activated by binding of these non-catalytic domains to phosphoproteins, which destabilizes the auto-inhibited state, but numerous mutations at the main auto-inhibitory interface have been shown to hyperactivate SHP2 in cancers and developmental disorders. Hundreds of clinically observed mutations in SHP2 have not been characterized, but their locations suggest alternative modes of dysregulation. We performed deep mutational scanning on full-length SHP2 and the isolated phosphatase domain to dissect mechanisms of SHP2 dysregulation. Our analysis revealed mechanistically diverse mutational effects and identified key intra- and inter-domain interactions that contribute to SHP2 activity, dynamics, and regulation. Our datasets also provide insights into the potential pathogenicity of previously uncharacterized clinical variants.

biochemistry↗

bioRxiv2024

Discovery of CRBN-dependent WEE1 Molecular Glue Degraders from a Multicomponent Combinatorial Library

Small molecules promoting protein-protein interactions produce a range of therapeutic outcomes. Molecular glue degraders exemplify this concept due to their compact drug-like structures and ability to engage targets without reliance on existing cognate ligands. While Cereblon molecular glue degraders containing glutarimide scaffolds have been approved for treatment of multiple myeloma and acute myeloid leukemia, the design of new therapeutically relevant monovalent degraders remains challenging. We report here an approach to glutarimide-containing molecular glue synthesis using multicomponent reactions as a central modular core-forming step. Screening the resulting library identified HRZ-01 derivatives that target casein kinase 1 alpha (CK1) and Wee-like protein kinase (WEE1). Further medicinal chemistry efforts led to identification of selective monovalent WEE1 degraders that provide a potential starting point for the eventual development of a selective chemical degrader probe. The structure of the hit WEE1 degrader complex with CRBN-DDB1 and WEE1 provides a model of the protein-protein interface and a rationale for the observed kinase selectivity. Our findings suggest that modular synthetic routes combined with in-depth structural characterization give access to selective molecular glue degraders and expansion of the CRBN-degradable proteome.

molecular biology↗

bioRxiv2024

Loop Catalog: a comprehensive HiChIP database of human and mouse samples

HiChIP enables cost-effective and high-resolution profiling of chromatin loops. To leverage the increasing number of HiChIP datasets, we developed Loop Catalog (https://loopcatalog.lji.org), a web-based database featuring loop calls from 1000+ distinct human and mouse HiChIP samples from 152 studies plus 44 high-resolution Hi-C samples. We demonstrate its utility for interpreting GWAS and eQTL variants through SNP-to-gene linking, identifying enriched sequence motifs and motif pairs, and generating regulatory networks and 2D representations of chromatin structure. Our catalog spans over 4.19M unique loops, and with embedded analysis modules, constitutes an important resource for the field.

bioinformatics↗

bioRxiv2024

Beyond enumeration: Phenotype independent "labeling-capture-release" process enabling precise detection of circulating tumour cells and downstream applications

Although strategies for circulating tumor cells (CTCs) enrichment have been proposed, the practical effects of clinical CTCs detection are far from satisfactory. Generally, the methodologies for CTCs detection aim at naturally occurring targets, but misdetection/interferences are prevalent due to the diverse phenotypes and subpopulations of CTCs with high heterogeneity. Herein, a CTCs isolation system based on the "labeling-capture-release" process is demonstrated for precise and high-efficient enrichment of CTCs from clinical blood samples. The mechanism which is based on abnormal glyco-metabolism of tumor cells including CTCs can be utilized for the surface decoration of CTCs with artificial azido groups. With the aid of bio-orthogonal plates designed with DBCO- and disulfide groups and exploiting the anti-fouling effects, the cells labeled with azido groups can be captured via a copper-free click reaction and released in a non-destructive manner during subsequent disulfide reduction. The technique is demonstrated to label multiple different types of tumor cells with the EpCAM+/- phenotypes and adherent/suspended status, and all the epithelial/interstitial/hybrid phenotypes of CTCs can be separated from clinical blood samples from 25 patients with 10 different cancer types. Moreover, our strategy is superior to the clinically approved CTCs detection system from the perspective of broad-spectrum and accurate recognition of heterogeneous CTCs. The capturing efficiency of this isolation system is over 80% and the release efficiency exceeds 90%. Most of the released CTCs survive with maintained glycolytic activity thus boding well for downstream applications such as drug susceptibility tests using viable CTCs.

bioengineering↗

bioRxiv2024

Novel Ser74 of NF-kappaB/CgIkappaBalpha Phosphorylated by MAPK/ERK Regulates Temperature Adaptation in Oysters

Phosphorylation of I{kappa}B at Ser32 and Ser36 by IKKs during biotic stress triggers its ubiquitin-proteasome degradation, causing to the nuclear translocation of REL, representing a key cascade mechanism in metazoans conserved and immune core signaling pathway, NF-{kappa}B. However, studies on its response to abiotic stress and signal transduction by phosphorylation in mollusks are lacking. Here, we firstly report a novel heat-induced phosphorylation site (Ser74) at the major NF-{kappa}B/CgI{kappa}B of oysters, phosphorylated by MAPK/CgERK1/2, which independently mediated the subsequent ubiquitin-proteasome degradation without phosphorylation at Ser32 and Ser36 and decreased thermal stability. The degradation of CgI{kappa}B promoted CgREL nuclear translocation, which stimulated cell survival related gene expression to defend against thermal stress. The MAPK and NF-{kappa}B pathways exhibited stronger activation patterns in higher environmental temperature and in the warm-adapted Crassostrea angulata than those in the cold-adapted C. gigas-two allopatric congeneric oyster species with differential habitat temperatures. These findings unveil the complex and unique phosphorylation-mediated signal transduction mechanisms in marine invertebrates, and further expand our understanding of the evolution and function of established classical pathway crosstalk mechanisms.

cell biology↗

bioRxiv2024

Development of subunit selective proteasome substrates for Schistosoma species

Schistosomiasis, or bilharzia, is a neglected tropical disease caused by Schistosoma spp. blood flukes that infects over 200 million people worldwide. Just one partially effective drug is available, and new drugs and drug targets would be welcome. The 20S proteasome is a validated drug target for many parasitic infections, including those caused by Plasmodium and Leishmania. We previously showed that anticancer proteasome inhibitors that act through the Schistosoma mansoni 20S proteasome (Sm20S) kill the parasite in vitro. To advance these initial findings, we employed Multiplex Substrate Profiling by Mass Spectrometry (MSP-MS) to define the substrate cleavage specificities of the three catalytic {beta} subunits of purified Sm20S. The profiles in turn were used to design and synthesize subunit-specific optimized substrates that performed two to eight fold better than the equivalent substrates used to measure the activity of the constitutive human proteasome (c20S). These specific substrates also eliminated the need to purify Sm20S from parasite extracts - a single step enrichment was sufficient to accurately measure substrate hydrolysis and its inhibition with proteasome inhibitors. Finally, we show that the substrate and inhibition profiles for the 20S proteasome from the three medically important schistosome species are similar, suggesting that data arising from an inhibitor development campaign that focuses on Sm20S can be extrapolated to the other two targets with consequent time and cost savings.

biochemistry↗