Proteomic Strategies Research Articles

A short dasatinib and quercetin treatment is sufficient to reinstate potent adult neuroregenesis in the aged killifish

The young African turquoise killifish has a high regenerative capacity, but loses it with advancing age, adopting several aspects of the limited form of mammalian regeneration. We deployed a proteomic strategy to identify pathways that underpin the loss of regenerative power caused by aging. Cellular senescence stood out as a potential brake on successful neurorepair. We applied the senolytic cocktail Dasatinib and Quercetin (D + Q) to test clearance of chronic senescent cells from the aged killifish central nervous system (CNS) as well as rebooting the neurogenic output. Our results show that the entire aged killifish telencephalon holds a very high senescent cell burden, including the parenchyma and the neurogenic niches, which could be diminished by a short-term, late-onset D + Q treatment. Reactive proliferation of non-glial progenitors increased substantially and lead to restorative neurogenesis after traumatic brain injury. Our results provide a cellular mechanism for age-related regeneration resilience and a proof-of-concept of a potential therapy to revive the neurogenic potential in an already aged or diseased CNS.

Proteomic analysis of STEAP1 knockdown in human LNCaP prostate cancer cells

Prostate cancer (PCa) continues to be one of the most common cancers in men worldwide. The six transmembrane epithelial antigen of the prostate 1 (STEAP1) protein is overexpressed in several types of human tumors, particularly in PCa. Our research group has demonstrated that STEAP1 overexpression is associated with PCa progression and aggressiveness. Therefore, understanding the cellular and molecular mechanisms triggered by STEAP1 overexpression will provide important insights to delineate new strategies for PCa treatment. In the present work, a proteomic strategy was used to characterize the intracellular signaling pathways and the molecular targets downstream of STEAP1 in PCa cells. A label-free approach was applied using an Orbitrap LC-MS/MS system to characterize the proteome of STEAP1-knockdown PCa cells. More than 6700 proteins were identified, of which a total of 526 proteins were found differentially expressed in scramble siRNA versus STEAP1 siRNA (234 proteins up-regulated and 292 proteins down-regulated). Bioinformatics analysis allowed us to explore the mechanism through which STEAP1 exerts influence on PCa, revealing that endocytosis, RNA transport, apoptosis, aminoacyl-tRNA biosynthesis, and metabolic pathways are the main biological processes where STEAP1 is involved. By immunoblotting, it was confirmed that STEAP1 silencing induced the up-regulation of cathepsin B, intersectin-1, and syntaxin 4, and the down-regulation of HRas, PIK3C2A, and DIS3. These findings suggested that blocking STEAP1 might be a suitable strategy to activate apoptosis and endocytosis, and diminish cellular metabolism and intercellular communication, leading to inhibition of PCa progression.

STRAP binds to and promotes the repair of N1-methyldeoxyadenosine in DNA

N1-methyladenosine (m1A) is an important RNA modification that functions in various biological processes by interacting with cellular proteins. However, the binding proteins of N1-methyldeoxyadenosine (1mdA) in DNA remain largely unknown. Herein, we employed a quantitative proteomics strategy to identify the potential binding proteins of 1mdA in human cells. Our results revealed that serine‑threonine kinase receptor-associated protein (STRAP) can bind to 1mdA-carrying DNA. We further demonstrated that STRAP participates in alkylating agent-induced DNA damage response and can promote the repair of 1mdA embedded in DNA. Moreover, we investigated the effects of STRAP on 1mdA-induced perturbation in transcription using a shuttle vector- and next-generation sequencing-based assay, and found that STRAP is involved in the transcriptional bypass of 1mdA in human cells. Together, our study revealed STRAP as a novel 1mdA-binding protein in human cells and provided new insight into the biological implications of STRAP and 1mdA modification in human diseases.

Predictive molecular markers of chemoradiation resistance in cervical cancer.

e17505 Background: Cisplatin based concurrent chemoradiation therapy (CCRT) has been recognized as the standard treatment for locally advanced cervical cancer. Although patients treated with CCRT have better chances of survival and prognosis, over 30–40% of patients do not achieve a complete response and may develop locoregional recurrence. Hence predictive biomarkers-based treatment selection of right cohort could be a strong approach for personalized treatment. Therapy resistance occur due to multifactorial events and targeting key molecules involved in treatment resistance could combat treatment resistance. Herein, we profiled both the global proteomic and phosphoproteomic landscape of the concurrent chemotherapy resistant cervical cancer to identify potential predictive biomarkers as well as therapeutic targets. Methods: We employed mass spectrometry based global proteomic and phosphoproteomic strategies to identify proteomic signature and dysregulated kinase involved in CCRT resistance. The biopsy tissue samples were collected before the start of the therapy and the protein was extracted, digested from each sample and labelled with 10 plex TMT (Tandem Mass Tags). The pooled peptides were fractionated by basic pH liquid chromatography analyzed on Orbitrap-Fusion-Tribrid mass spectrometer (ThermoFisher Scientific). For the phosphoproteomic experiment, the peptides were enriched using IMAC based phosphopeptide enrichment method. Liquid chromatography-mass spectrometry/ experiments together with thorough bioinformatics analysis were carried out to characterize the global proteome and phosphoproteome. Results: Analysis of protein expression and phosphorylation led to the identification of dysregulated protein expression and phosphorylation between treatment sensitive and resistant patient cohorts. Further analysis and validation experiment revealed the potential of differentially expressed protein syntaxin 3 (STX3) as a predictive biomarker for treatment resistance. Phosphoproteomic analysis revealed the enrichment of DNA repair pathway in treatment-resistant cohort and the phosphorylation of the proteins involved in DNA repair such as SMC1A, HMGN1, MGMT, DDB2, MSH6 are dysregulated between the cohort suggesting role of DNA repair pathway in the treatment resistance. Kinase-substrate enrichment analysis revealed the activation of kinases such as CSNK2A1, PRKDC, PLK1, NEK2 and ATM in non-responders. Conclusions: We have identified an accurate and reliable biomarker STX3 to predict CCRT resistance in cervical cancer. Further, the phosphoproteomic profiling revealed dysregulation of DNA repair pathways which may be involved in treatment resistance. Targeting the activated kinases such as CSNK2A1, PRKDC, PLK1, NEK2 and ATM could combat treatment resistance in cervical cancer patients.

Development of analytical methods fort he quantitative analysis of the enzyme abundance and activity in the arachidonic acid cascade

The arachidonic acid (ARA) cascade is a key regulatory pathway where eicosanoids and other oxylipins are formed via the oxidation of polyunsaturated fatty acids. These oxylipins are involved in controlling physiological functions such as vascular tone, blood clotting and immune regulation. Changes in the oxylipin pattern can be caused by direct enzyme inhibition or modulated gene expression. In order to understand the effect mechanisms modulating the ARA cascade it is essential to not only investigate the metabolite, i.e. oxylipin, concentrations but also the abundances of the enzymes involved in their formation. For this reason, a quantitative targeted proteomics method for the ARA cascade was developed within this thesis.A detailed workflow for method development was established where enzyme/protein levels are measured via sequence‐specific, representative peptides chosen on the basis of several criteria. With liquid chromatography‐tandem mass spectrometry‐based analysis, the cyclooxygenase (COX) pathway of the ARA cascade was investigated in human colon carcinoma cell lines and primary macrophages where strong correlations were found between the oxylipins formed via the COX pathway and the COX‐2 abundance.The modulating effects of polyphenols on the 5‐lipoxygenase (LOX) pathway of the ARA cascade were investigated in cell‐free enzyme assays and human neutrophils. Resveratrol, its dimer ɛ‐viniferin and a resveratrol imine analogue directly inhibited the 5‐LOX with micromolar potencies and modulated the total oxylipin pattern in the neutrophils with remarkably different effects. Genistein did not act as a 5‐LOX inhibitor in the cell‐free assay but the modulated oxylipin pattern in the cells suggests a global cellular interference.The enzymes of the LOX pathway were included in the targeted proteomics method which together with an extended targeted oxylipin metabolomics platform enables a sensitive multi‐ omics analysis of the ARA cascade in a single sample. The comparison of the multiple reaction monitoring (MRM) detection and the MRM^‐based approach with an additional fragmentation step demonstrated that MRM is more favorable in targeted proteomics due to its higher sensitivity, greater linear range and higher multiplexing capacities. The analysis with the multi‐ omics approach showed that the 5 LOX protein is induced together with its product formation during the differentiation of human monocytic THP 1 cells to macrophages. M1‐like human primary macrophages were also characterized by the abundance of 5‐LOX and its activating protein (FLAP), while 15‐LOX and 15‐LOX‐2 dominated the protein pattern of the M2 like macrophages accompanied by high levels of the oxylipins formed via these enzymes. The developed methodology allows mechanistic investigation of a modulation of the ARA cascade as demonstrated by lipo‐poly‐saccharide stimulation as well as pharmaceutical treatment of the cells.Overall, with this thesis, a new quantitative proteomics strategy for the enzymes of the ARA cascade is established which can be easily extended to further proteins. The use of this technique in combination with targeted oxylipin metabolomics has provided new insights into the mechanisms involved in the modulation of the ARA cascade in human immune cells.

Next-Generation Sequencing for Venomics: Application of Multi-Enzymatic Limited Digestion for Inventorying the Snake Venom Arsenal.

To improve the characterization of snake venom protein profiles, we report the application of a new generation of proteomic methodology to deeply characterize complex protein mixtures. The new approach, combining a synergic multi-enzymatic and a time-limited digestion (MELD), is a versatile and straightforward protocol previously developed by our group. The higher number of overlapping peptides generated during MELD increases the quality of downstream peptide sequencing and of protein identification. In this context, this work aims at applying the MELD strategy to a venomics purpose for the first time, and especially for the characterization of snake venoms. We used four venoms as the test models for this proof of concept: two Elapidae (Dendroaspis polylepis and Naja naja) and two Viperidae (Bitis arietans and Echis ocellatus). Each venom was reduced and alkylated before being submitted to two different protocols: the classical bottom-up proteomics strategy including a digestion step with trypsin only, or MELD, which combines the activities of trypsin, Glu-C and chymotrypsin with a limited digestion approach. The resulting samples were then injected on an M-Class chromatographic system, and hyphenated to a Q-Exactive Mass Spectrometer. Toxins and protein identification were performed by Peaks Studio X+. The results show that MELD considerably improves the number of sequenced (de novo) peptides and identified peptides from protein databases, leading to the unambiguous identification of a greater number of toxins and proteins. For each venom, MELD was successful, not only in terms of the identification of the major toxins (increasing of sequence coverage), but also concerning the less abundant cellular components (identification of new groups of proteins). In light of these results, MELD represents a credible methodology to be applied as the next generation of proteomics approaches dedicated to venomic analysis. It may open new perspectives for the sequencing and inventorying of the venom arsenal and should expand global knowledge about venom composition.

Proteomic Characterization of Human Gut Habitual Bacteroides intestinalis against Common Intestinal Bile Acid Stress

Bacteroides intestinalis (B. intestinalis) is an abundant gastrointestinal commensal bacterium and is able to produce secondary bile acids (BAs) among other important metabolic functions. However, deoxycholic acid (DCA) is known to suppress Bacteroides, suggesting differential molecular impact of different BA species on Bacteroides. Among major human gastrointestinal BA components, we first demonstrated that DCA and chenodeoxycholic acid (CDCA) and their taurine-conjugated species at 1 mM showed significantly higher inhibitory effects on the growth of B. intestinalis than cholic acid (CA) and lithocholic acid (LCA) and their taurine-conjugated species. Then, high-throughput proteomic strategy was used to show that both TCDCA and TDCA caused more proteome-wide modulation than TCA and TLCA. In response to incremental BA toxicity, the main functional changes of B. intestinalis include enhanced protein synthesis, DNA integrity maintenance, and suppressed central metabolic activities. Importantly, key energy and BA metabolism enzymes of B. intestinalis were inhibited by TCDCA and TDCA. These findings provide a basis for future studies to explore how Bacteroides respond to bile stress and how BA composition modulate gut microbiome homeostasis.

Quantitative proteomics and phosphoproteomics of urinary extracellular vesicles define putative diagnostic biosignatures for Parkinson’s disease

BackgroundMutations in the leucine-rich repeat kinase 2 (LRRK2) gene have been recognized as genetic risk factors for Parkinson’s disease (PD). However, compared to cancer, fewer genetic mutations contribute to the cause of PD, propelling the search for protein biomarkers for early detection of the disease.MethodsUtilizing 138 urine samples from four groups, healthy individuals (control), healthy individuals with G2019S mutation in the LRRK2 gene (non-manifesting carrier/NMC), PD individuals without G2019S mutation (idiopathic PD/iPD), and PD individuals with G2019S mutation (LRRK2 PD), we applied a proteomics strategy to determine potential diagnostic biomarkers for PD from urinary extracellular vesicles (EVs).ResultsAfter efficient isolation of urinary EVs through chemical affinity followed by mass spectrometric analyses of EV peptides and enriched phosphopeptides, we identify and quantify 4476 unique proteins and 2680 unique phosphoproteins. We detect multiple proteins and phosphoproteins elevated in PD EVs that are known to be involved in important PD pathways, in particular the autophagy pathway, as well as neuronal cell death, neuroinflammation, and formation of amyloid fibrils. We establish a panel of proteins and phosphoproteins as novel candidates for disease biomarkers and substantiate the biomarkers using machine learning, ROC, clinical correlation, and in-depth network analysis. Several putative disease biomarkers are further partially validated in patients with PD using parallel reaction monitoring (PRM) and immunoassay for targeted quantitation.ConclusionsThese findings demonstrate a general strategy of utilizing biofluid EV proteome/phosphoproteome as an outstanding and non-invasive source for a wide range of disease exploration.

Plasma protein changes reflect colorectal cancer development and associated inflammation.

Colorectal cancer (CRC) is the third most common malignancy and the second leading cause of death worldwide. Efficient non-invasive blood-based biomarkers for CRC early detection and prognosis are urgently needed. To identify novel potential plasma biomarkers, we applied a proximity extension assay (PEA), an antibody-based proteomics strategy to quantify the abundance of plasma proteins in CRC development and cancer-associated inflammation from few μL of plasma sample. Among the 690 quantified proteins, levels of 202 plasma proteins were significantly changed in CRC patients compared to age-and-sex-matched healthy subjects. We identified novel protein changes involved in Th17 activity, oncogenic pathways, and cancer-related inflammation with potential implications in the CRC diagnosis. Moreover, the interferon γ (IFNG), interleukin (IL) 32, and IL17C were identified as associated with the early stages of CRC, whereas lysophosphatidic acid phosphatase type 6 (ACP6), Fms-related tyrosine kinase 4 (FLT4), and MANSC domain-containing protein 1 (MANSC1) were correlated with the late-stages of CRC. Further study to characterize the newly identified plasma protein changes from larger cohorts will facilitate the identification of potential novel diagnostic, prognostic biomarkers for CRC.

Identification of Mutated in colorectal cancer (MCC) protein as a novel partner of PDZRN3 during Blood brain barrier development

Blood brain barrier (BBB) disruption is a critical component of the physiopathology of neurological disorder. Wnt signalling is crucial for BBB development and its stability. We have reported that an endothelial excessive activation of the ubiquitin ligase PDZRN3, a partner in Wnt signalling, destabilizes the BBB. However, the molecular pathway is still poorly understood. Using a differential screening strategy by BioID, MCC was discovered as a potential PDZRN3 interacting partner. This study focused on understanding how MCC/PDZRN3 interaction regulates Wnt signalling in vitro and in vivo. We then investigated the role of MCC in endothelial function. PDZRN3 and MCC protein partners were identified by a proteomic screening strategy (bioID). MCC functional role in Wnt signalling was studied in brain endothelial cells (HBMEC) using siRNA strategy, and specific chemical inhibitors. MCC in vivo expression was analysed in extracted blood vessels from wild type and transgenic mouse brains. MCC is a direct target of the kinase CKIɛ, a key regulator of the canonical Wnt pathway. We demonstrated that MCC is constantly phosphorylated by this kinase. We then reported that PDZRN3 prevents CKIɛ-induced phosphorylation of MCC. During post-natal mouse BBB development, MCC undergoes a switch from un- to hyper-phosphorylated state, correlated with a decrease in PDZRN3 expression level. Interestingly, in mouse mutants, specific ectopic Pdzrn3 over-expression in brain endothelial cells impairs MCC phosphorylation switch. We then investigated MCC involvement in endothelial function. MCC knock down impairs HBMEC directed migration under flow condition and planar MTOC polarization. Finally, using a bioID screening, we have identified several centrosomal proteins, such as CEP131, as potential MCC partners. Centrosome being a key organelle in cell polarization, we propose that MCC may regulate its organisation during HBMEC planar migration. By forming a stable complex with MCC, PDZRN3 prevents CKIɛ-induced phosphorylation of MCC. MCC would then regulate centrosome polarisation required for endothelial planar migration, making MCC an actor of BBB dynamic maturation.

Discovery of Benzodiazepine-Based Inhibitors of the E2 Enzyme UBCH10 from a Cell-Based p21 Degradation Screen.

p21Cip1 (p21) is a universal cyclin-dependent kinase (CDK) inhibitor that halts cell proliferation and tumor growth by multiple mechanisms. The expression of p21 is often downregulated in cancer cells as a result of the loss of function of transcriptional activators, such as p53, or the increased degradation rate of the protein. To identify small molecules that block the ubiquitin-mediated degradation of p21 as a future avenue for cancer drug discovery, we have screened a compound library using a cell-based reporter assay of p21 degradation. This led to the identification of a benzodiazepine series of molecules that induce the accumulation of p21 in cells. Using a chemical proteomic strategy, we identified the ubiquitin-conjugating enzyme UBCH10 as a cellular target of this benzodiazepine series. We show that an optimized benzodiazepine analogue inhibits UBCH10 ubiquitin-conjugating activity and substrate proteolysis by the anaphase-promoting complex.

Temporal proteomic profiling reveals functional pathways in vaccinia virus-induced cell migration.

Viral diseases have always been intricate and persistent issues throughout the world and there is a lack of holistic discoveries regarding the molecular dysregulations of virus-host interactions. The temporal proteomics strategy can identify various differentially expressed proteins and offer collaborated interaction networks under pathological conditions. Herein, temporal proteomics at various hours post infection of Vero cells were launched to uncover molecular alternations during vaccinia virus (VACV)-induced cell migration. Different stages of infection were included to differentiate gene ontologies and critical pathways at specific time points of infection via bioinformatics. Bioinformatic results showed functional and distinct ontologies and pathways at different stages of virus infection. The enrichment of interaction networks and pathways verified the significances of the regulation of actin cytoskeleton and lamellipodia during VACV-induced fast cell motility. The current results offer a systematic proteomic profiling of molecular dysregulations at different stages of VACV infection and potential biomedical targets for treating viral diseases.

Shotgun Proteomics Analysis, Functional Networks, and Peptide Biomarkers for Seafood-Originating Biogenic-Amine-Producing Bacteria.

Biogenic amine-producing bacteria are responsible for the production of basic nitrogenous compounds (histamine, cadaverine, tyramine, and putrescine) following the spoilage of food due to microorganisms. In this study, we adopted a shotgun proteomics strategy to characterize 15 foodborne strains of biogenic-amine-producing bacteria. A total of 10,673 peptide spectrum matches belonging to 4081 peptides and corresponding to 1811 proteins were identified. Relevant functional pathways were determined, and strains were differentiated into hierarchical clusters. An expected protein-protein interaction network was created (260 nodes/1973 interactions). Most of the determined proteins were associated with networks/pathways of energy, putrescine metabolism, and host-virus interaction. Additionally, 556 peptides were identified as virulence factors. Moreover, 77 species-specific peptide biomarkers corresponding to 64 different proteins were proposed to identify 10 bacterial species. This represents a major proteomic dataset of biogenic-amine-producing strains. These results may also be suitable for new treatments for food intoxication and for tracking microbial sources in foodstuffs.

Proteomic discovery of chemical probes that perturb protein complexes in human cells

Most human proteins lack chemical probes, and several large-scale and generalizable small-molecule binding assays have been introduced to address this problem. How compounds discovered in such "binding-first" assays affect protein function, nonetheless, often remains unclear. Here, we describe a "function-first" proteomic strategy that uses size exclusion chromatography (SEC) to assess the global impact of electrophilic compounds on protein complexes in human cells. Integrating the SEC data with cysteine-directed activity-based protein profiling identifies changes in protein-protein interactions that are caused by site-specific liganding events, including the stereoselective engagement of cysteines in PSME1 and SF3B1 that disrupt the PA28 proteasome regulatory complex and stabilize a dynamic state of the spliceosome, respectively. Our findings thus show how multidimensional proteomic analysis of focused libraries of electrophilic compounds can expedite the discovery of chemical probes with site-specific functional effects on protein complexes in human cells.

Diabetes mellitus and aortic stenosis head to head: toward personalized medicine in patients with both pathologies

Diabetes mellitus (DM) and calcific aortic stenosis (CAS) are common morbidities in the elderly, which are both chronic, progressive and often concomitant diseases. Several studies revealed that DM increases the risk of developing severe CAS, yet clear information about the relationship between both these diseases and the influence of DM on the progression of CAS is currently lacking. To evaluate the effect of DM on aortic valves and on the process of calcification, and to achieve better patient management in daily clinical practice, we analysed calcified and noncalcified valve tissue from patients with severe CAS, with or without DM. A proteomic strategy using isobaric tags was adopted and the plasma concentrations of nine proteins were studied using 3 orthogonal methods and in a separate cell model. The differentially expressed proteins identified are implicated in biological processes like endopeptidase activity, lipid metabolism, coagulation, and fibrinolysis. The results obtained provide evidence that DM provokes changes in the proteome of aortic valves, affecting valve calcification. This finding may help enhance our understanding of the pathogenesis of CAS and how DM affects the evolution of this condition, an important step in identifying targets to personalize the treatment of these patients.

Hydrogen Sulfide Signaling in Plants.

Significance: Hydrogen sulfide (H2S) is a multitasking potent regulator that facilitates plant growth, development, and responses to environmental stimuli. Recent Advances: The important beneficial effects of H2S in various aspects of plant physiology aroused the interest of this chemical for agriculture. Protein cysteine persulfidation has been recognized as the main reduction-oxidation (redox) regulatory mechanism of H2S signaling. An increasing number of studies, including large-scale proteomic analyses and functional characterizations, have revealed that H2S-mediated persulfidations directly regulate protein functions, altering downstream signaling in plants. To date, the importance of H2S-mediated persulfidation in several abscisic acid signaling-controlling key proteins has been assessed as well as their role in stomatal movements, largely contributing to the understanding of the plant H2S-regulatory mechanism. Critical Issues: The molecular mechanisms of the H2S sensing and transduction in plants remain elusive. The correlations of H2S-mediated persulfidation with other oxidative post-translational modifications of cysteines are still to be explored. Future Directions: Implementation of advanced detection approaches for the spatiotemporal monitoring of H2S levels in cells and the current proteomic profiling strategies for the identification and quantification of the cysteine site-specific persulfidation will provide insight into the H2S signaling in plants. Antioxid. Redox Signal. 39, 40-58.

Mass spectrometry-based proteomic strategy for ecchymotic skin examination in forensic pathology

Mass spectrometry (MS)-based proteomics has recently attracted the attention from forensic pathologists. This work is the first report of the development of a shotgun bottom-up proteomic approach based on rapid protein extraction and nano-liquid chromatography/high-resolution mass spectrometry applied to full-thickness human skin for the differential analysis of normal and ecchymotic tissues to identify new biomarkers for bruise characterization and dating. We identified around 2000 proteins from each pooled extract. The method showed excellent precision on independent replicates, with Pearson correlation coefficients always higher than 95%. Glycophorin A, a known biomarker of vital wounds from immunochemical studies, was identified only in ecchymotic tissues, as confirmed by Western blotting analysis. This finding suggests that this protein can be used as a MS-detectable biomarker of wound vitality. By focusing on skin samples from individuals with known wound dating, besides Glycophorin A, other proteins differentially expressed in ecchymotic samples and dependant on wound age were identified, although further analysis on larger datasets are needed to validate these findings. This study paves the way for an in-depth investigation of the potential of MS-based techniques for wound examination in forensic pathology, overcoming the limitations of immunochemical assays.

Abstract 6299: ZB131 antibody-drug conjugates induce potent antitumor activity

Abstract Antibody-drug conjugates (ADCs) have become increasingly adopted clinically, with 13 drugs FDA-approved and over 100 under clinical development. Despite this momentum and major advances in payload and linker technology, ADCs are limited by off-cancer target-mediated toxicities incurred by currently available targets. In contrast to genomic and proteomic strategies, our unique drug discovery approach accounts for a disease’s native context. This led to the identification of cancer-specific plectin (CSP) as not only overexpressed in malignant tissue compared to healthy, but exclusively present on the surface of cancer cells and absent in normal or pre-malignant tissue. A Phase 0 imaging trial (Biodistribution of Novel Imaging for Resectable Pancreatic Cancer - NCT01962909) evaluating a radiolabeled CSP-targeted peptide has revealed that CSP is bioavailable and abundant, with over a million CSP molecules per cancer cell in pancreatic cancer. Previously, we generated ZB131, a humanized monoclonal antibody that targets CSP. ZB131 demonstrated potent monotherapy efficacy in pancreatic, ovarian, and bile duct preclinical cancer models, indications that have high CSP expression and are being evaluated in a first-in-human Phase 1/2 clinical trial (NCT05074472). Here, we show that CSP is an ideal target for an ADC: it is abundantly and selectively expressed in many indications, bioavailable, and its inhibition is predicted to synergize with FDA-approved payloads. ZB131 binds specifically to CSP, rapidly internalizes, displays linear pharmacokinetics in pre-clinical models, and demonstrates a strong safety profile. We describe the development of two ZB131 ADCs, ZB131-MMAE (monomethyl auristatin E) and ZB131-DXd (Deruxtecan), with drug-to-antibody ratios of 3 – 4 and 7 – 8, respectively. After binding, both ADCs are rapidly and specifically internalized by CSP-positive cells resulting in drug payload release and enhancing cancer cell death compared to ZB131 alone. Moreover, we characterize cytotoxic activity in high and low CSP cell lines to evaluate ADC activity in relation to CSP abundance. In preclinical xenograft models, ZB131-ADC enhanced tumor regression compared to controls at clinically relevant doses. Furthermore, anti-huIgG staining revealed selective target engagement by ZB131-ADC. Taken together, these data show that ZB131-ADCs demonstrate potent antitumor activity and support their evaluation in a Phase 1 clinical trial. Citation Format: Samantha M. Perez, Brian P. Murphy, Danielle B. Heckert, Sarah Hall, Abby L. Colvin, Molly F. Owens, Ben R. Verfurth, Julien Dimastromatteo, Jiang He, Reid B. Adams, Yelena Kovtun, Lindsey T. Brinton, Kimberly A. Kelly. ZB131 antibody-drug conjugates induce potent antitumor activity [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 6299.

Proteomics-Based Identification of Dysregulated Proteins and Biomarker Discovery in Invasive Ductal Carcinoma, the Most Common Breast Cancer Subtype.

Invasive ductal carcinoma (IDC) is the most common histological subtype of malignant breast cancer (BC), and accounts for 70-80% of all invasive BCs. IDC demonstrates great heterogeneity in clinical and histopathological characteristics, prognoses, treatment strategies, gene expressions, and proteomic profiles. Significant proteomic determinants of the progression from intraductal pre-invasive malignant lesions of the breast, which characterize a ductal carcinoma in situ (DCIS), to IDC, are still poorly identified, validated, and clinically applied. In the era of "6P" medicine, it remains a great challenge to determine which patients should be over-treated versus which need to be actively monitored without aggressive treatment. The major difficulties for designating DCIS to IDC progression may be solved by understanding the integrated genomic, transcriptomic, and proteomic bases of invasion. In this review, we showed that multiple proteomics-based techniques, such as LC-MS/MS, MALDI-ToF MS, SELDI-ToF-MS, MALDI-ToF/ToF MS, MALDI-MSI or MasSpec Pen, applied to in-tissue, off-tissue, BC cell lines and liquid biopsies, improve the diagnosis of IDC, as well as its prognosis and treatment monitoring. Classic proteomics strategies that allow the identification of dysregulated protein expressions, biological processes, and interrelated pathway analyses based on aberrant protein-protein interaction (PPI) networks have been improved to perform non-invasive/minimally invasive biomarker detection of early-stage IDC. Thus, in modern surgical oncology, highly sensitive, rapid, and accurate MS-based detection has been coupled with "proteome point sampling" methods that allow for proteomic profiling by in vivo "proteome point characterization", or by minimal tissue removal, for ex vivo accurate differentiation and delimitation of IDC. For the detection of low-molecular-weight proteins and protein fragments in bodily fluids, LC-MS/MS and MALDI-MS techniques may be coupled to enrich and capture methods which allow for the identification of early-stage IDC protein biomarkers that were previously invisible for MS-based techniques. Moreover, the detection and characterization of protein isoforms, including posttranslational modifications of proteins (PTMs), is also essential to emphasize specific molecular mechanisms, and to assure the early-stage detection of IDC of the breast.

An integrated multi-level analysis reveals learning-memory deficits and synaptic dysfunction in the rat model exposure to austere environment

Austere environment existing in tank, submarine and vessel has many risk factors including high temperature and humidity, confinement, noise, hypoxia, and high level of carbon dioxide, which may cause depression and cognitive impairment. However, the underlying mechanism is not fully understood yet. We attempt to investigate the effects of austere environment (AE) on emotion and cognitive function in a rodent model. After 21 days of AE stress, the rats exhibit depressive-like behavior and cognitive impairment. Compared with control group, the glucose metabolic level of the hippocampus is significantly decreased using whole-brain positron emission tomography (PET) imaging, and the density of dendritic spines of the hippocampus is remarkably reduced in AE group. Then, we employ a label-free quantitative proteomics strategy to investigate the differentially abundant proteins in rats' hippocampus. It is striking that the differentially abundant proteins annotated by KEGG enrich in oxidative phosphorylation pathway, synaptic vesicle cycle pathway and glutamatergic synapses pathway. The synaptic vesicle transport related proteins (Syntaxin-1A, Synaptogyrin-1 and SV-2) are down-regulated, resulting in the accumulation of intracellular glutamate. Furthermore, the concentration of hydrogen peroxide and malondialdehyde is increased while the activity of superoxide dismutase and complex I and IV of mitochondria is decreased, indicating that oxidative damage to hippocampal synapses is associated with the cognitive decline. The results of this study offer direct evidence, for the first time, that austere environment can substantially cause learning and memory deficits and synaptic dysfunction in a rodent model via behavioral assessments, PET imaging, label-free proteomics, and oxidative stress tests. SignificanceThe incidence of depression and cognitive decline in military occupations (for example, tanker and submariner) is significantly higher than that of global population. In the present study, we first established novel model to simulate the coexisting risk factors in the austere environment. The results of this study offer the direct evidences, for the first time, that the austere environment can substantially cause learning and memory deficits by altering plasticity of the synaptic transmission in a rodent model via proteomic strategy, PET imaging, oxidative stress and behavioral assessments. These findings provide valuable information to better understand the mechanisms of cognitive impairment.