Protein Quantification Research Articles

Biochemical analysis of bullfrog liver and blood: insights into growth and development

The aim of this study was to evaluate the productive and physiological performance of bullfrogs (Lithobates catesbeianus) after metamorphosis, through zootechnical growth parameters and the quantification of proteins and enzymes present in the liver. In addition we observed the behavior of circulating amino acids in the blood. The experiment was conducted at the Experimental Station of the Aquaculture, APTA Regional – SAA, in São Paulo, Brazil. We used 400 L. catesbeianus froglets weighing 5.76±1.32g, which were distributed in four fattening tanks in the wet system, installed under an agricultural greenhouse at density of 51 frogs/m². The animals were fed with 5% of the biomass of each tank every day, with extruded feed for carnivorous fish with 40% Crude Protein. Every 28 days, they were weighed to calculate weight gain and apparent feed conversion ratio. At the same time, two animals from each tank were chosen randomly to have their blood and liver collected for biochemical analysis to quantify amino acids, proteins, phenols, peroxidase and polyphenol oxidase. The results obtained indicate that the absence of screening every 15 days affected the development and uniformity of the animals, favoring cannibalism. The average apparent feed conversion was 1.84. There was an increasing and proportional formation of proteins with low degradation as the animals gained weight. As for amino acids, we detected arginine, isoleucine, alanine and tryptophan in the first month, with trypsin appearing after 60 days. These results lead us to state that total or partial screening is essential during the first month after metamorphosis, and that the feed provided, although not specific to the species, fulfilled its role in animal metabolism, with little formation of phenolic compounds and free radicals.

Icariside II alleviates lipopolysaccharide-induced acute lung injury by inhibiting lung epithelial inflammatory and immune responses mediated by neutrophil extracellular traps

AimsAcute lung injury (ALI) is a life-threatening lung disease characterized by inflammatory cell infiltration and lung epithelial injury. Icariside II (ICS II), one of the main active ingredients of Herba Epimedii, exhibits anti-inflammatory and immunomodulatory effects. However, the effect and mechanism of ICS II in ALI remain unclear. The purpose of the current study was to investigate the pharmacological effect and underlying mechanism of ICS II in ALI. Main methodsModels of neutrophil-like cells, human peripheral blood neutrophils, and lipopolysaccharide (LPS)-induced ALI mouse model were utilized. RT-qPCR and Western blotting determined the gene and protein expression levels. Protein distribution and quantification were analyzed by immunofluorescence. Key findingsICS II significantly reduced lung histopathological damage, edema, and inflammatory cell infiltration, and it reduced pro-inflammatory cytokines in ALI. There is an excessive activation of neutrophils leading to a significant production of NETs in ALI mice, a process mitigated by the administration of ICS II. In vivo and in vitro studies found that ICS II could decrease NET formation by targeting neutrophil C-X-C chemokine receptor type 4 (CXCR4). Further data showed that ICS II reduces the overproduction of dsDNA, a NETs-related component, thereby suppressing cGAS/STING/NF-κB signalling pathway activation and inflammatory mediators release in lung epithelial cells. SignificanceThis study suggested that ICS II may alleviate LPS-induced ALI by modulating the inflammatory response, indicating its potential as a therapeutic agent for ALI treatment.

Syringic acid attenuates acute lung injury by modulating macrophage polarization in LPS-induced mice

BackgroundAcute lung injury (ALI) is a continuum of lung changes caused by multiple lung injuries, characterized by a syndrome of uncontrolled systemic inflammation that often leads to significant morbidity and death. Anti-inflammatory is one of its treatment methods, but there is no safe and available drug therapy. Syringic acid (SA) is a natural organic compound commonly found in a variety of plants, especially in certain woody plants and fruits. In modern pharmacological studies, SA has anti-inflammatory effects and therefore may be a potentially safe and available compound for the treatment of acute lung injury. PurposeThis study attempts to reveal the protective mechanism of SA against ALI by affecting the polarization of macrophages and the activation of NF-κB signaling pathway. Trying to find a safer and more effective drug therapy for clinical use. MethodsWe constructed the ALI model using C57BL/6 mice by intratracheal instillation of LPS (10 mg/kg). Histological analysis was performed with hematoxylin and eosin (H&E). The wet-dry ratio of the whole lung was measured to evaluate pulmonary edema. The effect of SA on macrophage M1-type was detected by flow cytometry. BCA protein quantification method was used to determine the total protein concentration in bronchoalveolar lavage fluid (BALF). The levels of Interleukin (IL)-6, IL-1β, and tumor necrosis factor (TNF)-α in BALF were determined by the ELISA kits, and RT-qPCR was used to detect the expression levels of IL-6, IL-1β and TNF-α mRNA of lung tissue. Western blot was used to detect the expression levels of iNOS and COX-2 and the phosphorylation of p65 and IκBα in the NF-κB pathway in lung tissue. In vitro experiments were conducted with RAW267.4 cell inflammation model induced by 100 ng/ml LPS and A549 cell inflammation model induced by 10 μg/ml LPS. The effects of SA on M1-type and M2-type macrophages of RAW267.4 macrophages induced by LPS were detected by flow cytometry. The toxicity of compound SA to A549 cells was detected by MTT method which to determine the safe dose of SA. The expressions of COX-2 and the phosphorylation of p65 and IκBα protein in NF-κB pathway were detected by Western blot. ResultsWe found that the pre-treatment of SA significantly reduced the degree of lung injury, and the infiltration of neutrophils in the lung interstitium and alveolar space of the lung. The formation of transparent membrane in lung tissue and thickening of alveolar septum were significantly reduced compared with the model group, and the wet-dry ratio of the lung was also reduced. ELISA and RT-qPCR results showed that SA could significantly inhibit the production of IL-6, IL-1β, TNF-α. At the same time, SA could significantly inhibit the expression of iNOS and COX-2 proteins, and could inhibit the phosphorylation of p65 and IκBα proteins. in a dose-dependent manner. In vitro experiments, we found that flow cytometry showed that SA could significantly inhibit the polarization of macrophages from M0 type macrophages to M1-type macrophages, while SA could promote the polarization of M1-type macrophages to M2-type macrophages. The results of MTT assay showed that SA had no obvious cytotoxicity to A549 cells when the concentration was not higher than 80 μM, while LPS could promote the proliferation of A549 cells. In the study of anti-inflammatory effect, SA can significantly inhibit the expression of COX-2 and the phosphorylation of p65 and IκBα proteins in LPS-induced A549 cells. ConclusionSA has possessed a crucial anti-ALI role in LPS-induced mice. The mechanism was elucidated, suggesting that the inhibition of macrophage polarization to M1-type and the promotion of macrophage polarization to M2-type, as well as the inhibition of NF-κB pathway by SA may be the reasons for its anti-ALI. This finding provides important molecular evidence for the further application of SA in the clinical treatment of ALI.

DTT protein equalization and Tryptophan protein quantification as a powerful tool in analytical proteomics.

Assessing total protein levels in biological samples is a common procedure in biochemistry and molecular biology. In this study, we compare tryptophan fluorescence (WF) with Bradford and BCA assays to determine total protein in serum samples. Our results indicate that tryptophan fluorescence spectrometry is an efficient, sensitive, and straightforward technique for quantifying proteins in serum. We observed minimal variation between the three methods: BCA de one with the lowers LOD and LOQ. The tryptophan method offers the possibility of reusing the intact sample that does not need colourimetric reagents for quantification. Consequently, free tryptophan serves as a reliable universal standard. This assay can be performed using a conventional fluorescence spectrometer with cuvettes or in a 96-well plate format with a plate reader. The method was successfully used as proof of concept, using serum from patients diagnosed with myeloma and serum from healthy donors.

The Effects of Artificial Diets on the Expression of Molecular Marker Genes Related to Honey Bee Health.

Honey bees are commonly used to study metabolic processes, yet the molecular mechanisms underlying nutrient transformation, particularly proteins and their effects on development, health, and diseases, still evoke varying opinions among researchers. To address this gap, we investigated the digestibility and transformation of water-soluble proteins from four artificial diets in long-lived honey bee populations (Apis mellifera ligustica), alongside their impact on metabolism and DWV relative expression ratio, using transcriptomic and protein quantification methods. Diet 2, characterized by its high protein content and digestibility, was selected for further analysis from the other studied diets. Subsequently, machine learning was employed to identify six diet-related molecular markers: SOD1, Trxr1, defensin2, JHAMT, TOR1, and vg. The expression levels of these markers were found to resemble those of honey bees who were fed with Diet 2 and bee bread, renowned as the best natural food. Notably, honey bees exhibiting chalkbrood symptoms (Control-N) responded differently to the diet, underscoring the unique nutritional effects on health-deficient bees. Additionally, we proposed a molecular model to elucidate the transition of long-lived honey bees from diapause to development, induced by nutrition. These findings carry implications for nutritional research and beekeeping, underscoring the vital role of honey bees in agriculture.

Immunoassays and Mass Spectrometry for Determination of Protein Concentrations in Genetically Modified Crops.

Quantifying protein levels in genetically modified (GM) crops is crucial in every phase of development, deregulation, and seed production. Immunoassays, particularly enzyme-linked immunosorbent assay, have been the primary protein quantitation techniques for decades within the industry due to their efficiency, adaptability, and credibility. Newer immunoassay technologies like Meso Scale Discovery and Luminex offer enhanced sensitivity and multiplexing capabilities. While mass spectrometry (MS) has been widely used for small molecules and protein detection in the pharmaceutical and agricultural industries (e.g., biomarkers, endogenous allergens), its use in quantifying protein levels in GM crops has been limited. However, as trait portfolios for GM crop have expanded, MS has been increasingly adopted due to its comparable sensitivity, increased specificity, and multiplexing capabilities. This review contrasts the benefits and limitations of immunoassays and MS technologies for protein measurement in GM crops, considering factors such as cost, convenience, and specific analytical needs. Ultimately, both techniques are suitable for assessing protein concentrations in GM crops, with MS offering complementary capabilities to immunoassays. This comparison aims to provide insights into selecting between these techniques based on the user's end point needs.

Molecular Imprinting-Based SERS Detection Strategy for the Large-Size Protein Quantitation and Curbing Non-Specific Recognition.

Molecular imprinting-based surface-enhanced Raman scattering (MI-SERS) sensors have shown remarkable potential from an academic standpoint. However, their practical applications, especially in the detection of large-size protein (≥10 nm), face challenges due to the lack of versatile sensing strategies and nonspecific fouling of matrix species. Herein, we propose a Raman reporter inspector mechanism (RRIM) implemented on a protein-imprinted polydopamine (PDA) layer coated on the SERS active substrate. In the RRIM, after large-size protein recognition, the permeability of the PDA imprinted cavities undergoes changes that are scrutinized by Raman reporter molecules. Target proteins can specifically bind and fully occupy the imprinted cavities, whereas matrix species cannot. Then, Raman reporter molecules with suitable size are introduced to serve as both inspectors of the recognition status and inducers of the SERS signal, which can only penetrate through the vacant and nonspecifically filled cavities. Consequently, changes in the SERS signal exclusively originate from the specific binding of target proteins, while the nonspecific recognition of matrix species is curbed. The RRIM enables reproducible quantitation of the large-size cyanobacteria-specific protein model (≥10 nm), phycocyanin, at the level down to 2.6 × 10-3 μg L-1. Finally, the practical applicability of the RRIM is confirmed by accurately analyzing crude urban waterway samples over 21 min without any pretreatment.

Use of Residual Malt from an Artisanal Beer Brewing Process in the Biosynthesis of Silver Nanoparticles Mediated by Nucleating and Structure-Directing Agents.

Biosynthesized silver nanoparticles (AgNPs) are widely used in varied applications, which are morphology dependent. Consequently, a morphology-controlled synthesis is mandatory. Although there are several studies focused on the plant extract-based biosynthesis of metallic nanoparticles, the use of extracts obtained from agro-wastes is scant. Furthermore, information regarding morphology modification through the use of additional agents is even more scarce. Thus, in this study, AgNPs were synthesized using a malt extract (ME) obtained from an artisanal beer brewing process residue. Additionally, sodium chloride (NaCl), gum arabic (GA), and talc (T) were used in an attempt to modify the morphology of AgNPs. XRD, DLS, SEM, and TEM results demonstrate that stable AgNPs of different sizes and shapes were synthesized. FTIR, HPLC analysis, and the quantification of total proteins, free amino acids, reducing sugars, and total polyphenols before and after AgNPs synthesis showed that ME biomolecules allowed them to act as a source of reducing and stabilizing agents. Therefore, this study provides evidence that ME can be successfully used to biosynthesize AgNPs. Additionally, the antibacterial activity of AgNPs against Gram-negative and Gram-positive bacteria was evaluated. Results indicate that AgNPs show a higher antibacterial activity against Gram-positive bacteria.

A comprehensive investigation of the interactions of human serum albumin with polymeric and hybrid nanoparticles.

Nanoparticles (NPs) engineered as drug delivery systems continue to make breakthroughs as they offer numerous advantages over free therapeutics. However, the poor understanding of the interplay between the NPs and biomolecules, especially blood proteins, obstructs NP translation to clinics. Nano-bio interactions determine the NPs' in vivo fate, efficacy and immunotoxicity, potentially altering protein function. To fulfill the growing need to investigate nano-bio interactions, this study provides a systematic understanding of two key aspects: (i) protein corona (PC) formation and (ii) NP-induced modifications on protein's structure and stability. A methodology was developed by combining orthogonal techniques to analyze both quantitative and qualitative aspects of nano-bio interactions, using human serum albumin (HSA) as a model protein. Protein quantification via liquid chromatography-mass spectrometry, and capillary zone electrophoresis (CZE) clarified adsorbed protein quantity and stability. CZE further unveiled qualitative insights into HSA forms (native, glycated HSA and cysteinylated), while synchrotron radiation circular dichroism enabled analyzing HSA's secondary structure and thermal stability. Comparative investigations of NP cores (organic vs. hybrid), and shells (with or without polyethylene glycol (PEG)) revealed pivotal factors influencing nano-bio interactions. Polymeric NPs based on poly(lactic-co-glycolic acid) (PLGA) and hybrid NPs based on metal-organic frameworks (nanoMOFs) presented distinct HSA adsorption profiles. PLGA NPs had protein-repelling properties while inducing structural modifications on HSA. In contrast, HSA exhibited a high affinity for nanoMOFs forming a PC altering thereby the protein structure. A shielding effect was gained through PEGylation for both types of NPs, avoiding the PC formation as well as the alteration of unbound HSA structure.

Key Proteomics Tools for Fundamental and Applied Microalgal Research.

Microscopic, photosynthetic prokaryotes and eukaryotes, collectively referred to as microalgae, are widely studied to improve our understanding of key metabolic pathways (e.g., photosynthesis) and for the development of biotechnological applications. Omics technologies, which are now common tools in biological research, have been shown to be critical in microalgal research. In the past decade, significant technological advancements have allowed omics technologies to become more affordable and efficient, with huge datasets being generated. In particular, where studies focused on a single or few proteins decades ago, it is now possible to study the whole proteome of a microalgae. The development of mass spectrometry-based methods has provided this leap forward with the high-throughput identification and quantification of proteins. This review specifically provides an overview of the use of proteomics in fundamental (e.g., photosynthesis) and applied (e.g., lipid production for biofuel) microalgal research, and presents future research directions in this field.

Exploration of nutritional and bioactive peptide properties in goat meat from various primal cuts during in vitro gastrointestinal digestion and absorption.

This research aims to explore the nutritional and bioactive peptide properties of goat meat taken from various primal cuts, including the breast, shoulder, rib, loin, and leg, to produce these bioactive peptides during in vitro gastrointestinal (GI) digestion and absorption. The goat meat from various primal cuts was obtained from Boer goats with an average carcass weight of 30±2 kg. The meat was collected within 3 h after slaughter and was stored at -80°C until analysis. A comprehensive assessment encompassed various aspects, including the chemical composition, cooking properties, in vitro GI digestion, bioactive characteristics, and the bioavailability of the resulting peptides. The findings indicate that the loin muscles contain the highest protein and essential amino acid composition. When the meats were cooked at 70°C for 30 min, they exhibited distinct protein compositions and quantities in the sodium dodecyl sulfate-polyacrylamide gel electrophoresis profile, suggesting they served as different protein substrates during GI digestion. Subsequent in vitro simulated GI digestion revealed that the cooked shoulder and loin underwent the most significant hydrolysis during the intestinal phase, resulting in the strongest angiotensin-converting enzyme (ACE) and dipeptidyl peptidase-IV (DPP-IV) inhibition. Following in vitro GI peptide absorption using a Caco-2 cell monolayer, the GI peptide derived from the cooked loin demonstrated greater bioavailability and a higher degree of ACE and DPP-IV inhibition than the shoulder peptide. This study highlights the potential of goat meat, particularly cooked loin, as a functional meat source for protein, essential amino acids, and bioactive peptides during GI digestion and absorption. These peptides promise to play a role in preventing and treating metabolic diseases due to their dual inhibitory effects on ACE and DPP-IV.

Exosome miR-30a-5p Regulates Glomerular Endothelial Cells' EndMT and Angiogenesis by Modulating Notch1/VEGF Signaling Pathway.

Diabetic nephropathy (DN) is one of the microvascular complications of diabetes. Endothelial-mesenchymal transition (EndMT) and endothelial damage lead to abnormal angiogenesis in DN. This study aimed to investigate the role of exosome miR-30a-5p in high glucose (HG)-induced glomerular endothelial cells (GECs) dysfunction and explore the underlying mechanisms. GECs were cultured in normal glucose (5.5 mM) and HG (30 mM) conditions. The recipient GECs were transfected with exosome or miR-30a-5p mimic/inhibitor and then detected by using CCK-8 and flow cytometry assay. Luciferase analysis was used to verify miR-30a-5p acted on notch homolog protein 1 (Notch1). RT-qPCR and Western blot were used to detect the expression of VE-cadherin, α-SMA, vascular endothelial growth factor (VEGF) and Notch1. In vivo, exosome miR-30a-5p was administered to DN mice, and periodic acid-Schiff (PAS) staining, UTP levels, and HbA1c levels were measured. The expression of miR-30a-5p was downregulated in HG-treated GECs. Exosome miR-30a-5p significantly promoted cell proliferation, and migration and reduced apoptosis of GECs under HG conditions. MiR-30a-5p directly targeted the 3-UTR region of Notch1. Exosome miR-30a-5p reduced the expression levels of Notch1 and VEGF, both at mRNA and protein levels. Furthermore, exosome miR-30a-5p inhibited HG-induced EndMT, as evidenced by increased VE-cadherin and reduced α-SMA. In vivo studies demonstrated that exosome miR-30a-5p reduced serum HbA1c levels and 24-hour urine protein quantification. This study provides evidence that exosome miR-30a-5p suppresses EndMT and abnormal angiogenesis of GECs by modulating the Notch1/VEGF signaling pathway. These findings suggest that exosome miR-30a-5p could be a potential therapeutic strategy for the treatment of DN.

Absolute protein quantification based on calibrated particle counting using electrospray-differential mobility analysis

The traceability of in vitro diagnostics or drug products is based on the accurate quantification of proteins. In this study, we developed an absolute quantification approach for proteins. This method is based on calibrated particle counting using electrospray-differential mobility analysis (ES-DMA) coupled with a condensation particle counter (CPC). The absolute concentration of proteins was quantified with the observed protein particle number measured with ES-DMA-CPC, and the detection efficiency was determined by calibrators. The measurement performance and quantitative level were verified using two certificated reference materials, BSA and NIMCmAb. The linear regression fit for the detection efficiency values of three reference materials and one highly purified protein (myoglobin, BSA, NIMCmAb and fibrinogen) indicated that the detection efficiency and the particle size distribution of these proteins exhibited a linear relationship. Moreover, to explore the suitability of the detection efficiency-particle size curve for protein quantification, the concentrations of three typical proteinaceous particles, including two high molecular weight proteins (NIST reference material 8671 and D-dimer) and one protein complex (glutathione S-transferase dimer), were determined. This work suggests that this calibrated particle counting method is an efficient approach for nondestructive, rapid and accurate quantification of proteins, especially for measuring proteinaceous particles with tremendous size and without reference standards.

Selective protein quantification on continuous chromatography equipment with limited absorbance sensing: A partial least squares and statistical wavelength selection solution

AbstractReal‐time selective protein quantification is an integral component of operating continuous chromatography processes. Partial least squares models fit with spectroscopic UV‐Vis absorbance data have demonstrated the ability to selectively quantify proteins. With standard continuous chromatography equipment that is only capable of measuring absorbance at a few user‐defined wavelengths, the problem of selecting appropriate wavelengths that maximize the measurement capability of the instrument remains unaddressed. Therefore, we propose a method for selecting wavelengths for continuous chromatography equipment. We illustrate our method using sets of protein mixtures composed of bovine serum albumin and lysozyme. The first step is to refine the raw wavelength set with a statistical t‐test and an absorbance magnitude test. Then, the wavelengths within the refined spectroscopic range are ranked. Three existing techniques are evaluated – sequential forward search, variable importance to projection scores, and the least absolute shrinkage and selection operator. The best technique (in this case, sequential forward search) determines a subset of three wavelengths for further evaluation on the BioSMB PD. We use an exhaustive approach to determine the final wavelength set. We show that soft sensor models trained from the method's wavelength selections can quantify the two proteins more accurately than from the wavelength set of 230, 260 and 280 nm, by a factor of four. The method is shown to determine appropriate wavelengths for different path lengths and protein concentration ranges. Overall, we provide a tool that alleviates the analytical bottleneck for practitioners seeking to develop advanced monitoring and control methods on standard equipment.

Use of Nonhuman Sera as a Highly Cost-Effective Internal Standard for Quantitation of Multiple Human Proteins Using Species-Specific Tryptic Peptides: Applicability in Clinical LC-MS Analyses.

Quantitation of proteins using liquid chromatography-tandem mass spectrometry (LC-MS/MS) is complex, with a multiplicity of options ranging from label-free techniques to chemically and metabolically labeling proteins. Increasingly, for clinically relevant analyses, stable isotope-labeled (SIL) internal standards (ISs) represent the "gold standard" for quantitation due to their similar physiochemical properties to the analyte, wide availability, and ability to multiplex to several peptides. However, the purchase of SIL-ISs is a resource-intensive step in terms of cost and time, particularly for screening putative biomarker panels of hundreds of proteins. We demonstrate an alternative strategy utilizing nonhuman sera as the IS for quantitation of multiple human proteins. We demonstrate the effectiveness of this strategy using two high abundance clinically relevant analytes, vitamin D binding protein [Gc globulin] (DBP) and albumin (ALB). We extend this to three putative risk markers for cardiovascular disease: plasma protease C1 inhibitor (SERPING1), annexin A1 (ANXA1), and protein kinase, DNA-activated catalytic subunit (PRKDC). The results show highly specific, reproducible, and linear measurement of the proteins of interest with comparable precision and accuracy to the gold standard SIL-IS technique. This approach may not be applicable to every protein, but for many proteins it can offer a cost-effective solution to LC-MS/MS protein quantitation.

Establishing an OCD Model in BALB/c Mice Using RU24969: A Molecular and Behavioural Study of Optimal Dose Selection.

Obsessive-compulsive disorder (OCD) is a disabling disease characterized by distressing obsessions and repetitive compulsions. The etiology of OCD is poorly known, and mouse modeling allows to clarify the genetic and neurochemical basis of this disorder and to investigate potential treatments. This study evaluates the impact of the 5-HT1B agonist RU24969 on the induction of OCD-like behaviours in female BALB/c mice (n = 30), distributed across five groups receiving varying doses of RU24969. Behavioural assessments, including marble test, tail suspension test, sucrose preference test, forced swim test, and nestlet shredding test, were conducted. Gene expression and protein quantitation of Gabra1 and serotonin transporter in mouse brain were also performed. Marble-burying behaviour increased significantly at high doses of RU24969 (15-20 mg/kg). The forced swimming test consistently showed elevated values at the same high concentrations, compared to the control. Altered reward-seeking behaviour was indicated by the sucrose preference test, notably at 15 and 20 mg/kg doses of RU24969. Nestlet shredding results did not show statistical significance among the tested animal groups. Gene expression analysis revealed reduced Gabra1 expression with increasing doses of RU, while serotonin transporter was not related to varying doses of RU24969. Western blotting corroborated these trends. The results underscore complex interactions between the serotonin system, GABAergic signaling, and OCD-relevant behaviours and suggest the use of intraperitoneal injection of 15 mg/kg of RU24969 to induce OCD-like behaviour in BALB/c mouse models.

Utilizing Magnetic Levitation to Detect Lung Cancer-Associated Exosomes.

Extracellular vesicles, especially exosomes, have attracted attention in the last few decades as novel cancer biomarkers. Exosomal membrane proteins provide easy-to-reach targets and can be utilized as information sources of their parent cells. In this study, a MagLev-based, highly sensitive, and versatile biosensor platform for detecting minor differences in the density of suspended objects is proposed for exosome detection. The developed platform utilizes antibody-functionalized microspheres to capture exosomal membrane proteins (ExoMPs) EpCAM, CD81, and CD151 as markers for cancerous exosomes, exosomes, and non-small cell lung cancer (NSCLC)-derived exosomes, respectively. Initially, the platform was utilized for protein detection and quantification by targeting solubilized ExoMPs, and a dynamic range of 1-100 nM, with LoD values of 1.324, 0.638, and 0.722 nM for EpCAM, CD81, and CD151, were observed, respectively. Then, the sensor platform was tested using exosome isolates derived from NSCLC cell line A549 and MRC5 healthy lung fibroblast cell line. It was shown that the sensor platform is able to detect and differentiate exosomal biomarkers derived from cancerous and non-cancerous cell lines. Overall, this innovative, simple, and rapid method shows great potential for the early diagnosis of lung cancer through exosomal biomarker detection.

Abstract 2325: NUWA-ms: A network-based method to infer quantification of missing proteins using multi-cohort proteomics profiles

Abstract Although mass spectrometry is powerful for proteomic quantification, the inherent issue of missing values remains a significant challenge. We found a prevalent lack of quantification of valuable proteins (e.g., immune cell markers and drug targets) in published datasets, limiting the functional utilities of quantitative proteomic profiles. This was exemplified by the substantial lack of quantification of immune cell marker, which impede the dissection of tissue-infiltrating immune cells by deconvolution analysis of cancer proteomic profiles. Thus, we introduce a network-based method NUWA-ms for robust abundance inference of missing proteins using multi-cohort proteomic profiles. By evaluating 561 tumors with paired proteomic and transcriptomic profiles, a significant improvement of deconvolution performance was shown with the aid of NUWA-ms. This was further validated by the comparison between scRNA-seq and proteomic analyses of a same gastric cancer tumor tissue. NUWA-ms applications to cancer proteomic profiles facilitated the inference of CD8+ T cell markers and effector proteins, enabling the associations of CD8+ T cell infiltration with MSI status in colorectal cancer and anti-PD-1 therapy response in melanoma. These findings demonstrated the utilities of NUWA-ms in depicting infiltrating lymphocytes in the tumor microenvironment using proteomic profiles. Furthermore, based on the proteomic profiles of six patient-derived tumor organoids (PDOs), NUWA-ms application helped identifying PDOs sensitive to a targeted therapeutic agent including the ones neglected by the raw MS quantification, and aided in revealing the resistant mechanism. Together, NUWA-ms could enable a robust inference of protein abundance, to help identifying protein biomarkers and therapeutic targets for cancer and other complex diseases. Citation Format: Lihua Cao, Yuhao Xie, Jiale Chen, Man Wang, Tingting Zhao, Heli Yang, Yang Du, Yang Yang, Zhaode Bu, Jiafu Ji, Jianmin Wu. NUWA-ms: A network-based method to infer quantification of missing proteins using multi-cohort proteomics profiles [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 2325.

Abstract 4287: Serological quantification of fibroblast activation protein (FAP) cleaved type III collagen: A biomarker for FAP activity

Abstract Introduction: Fibroblast activation protein (FAP) has unique proteolytic activity with very low expression in healthy tissues, while being upregulated in diseased tissues including many types of cancer for example non-small cell lung cancer (NSCLC). The disease specific expression and unique proteolytic activity have made FAP an interesting protein to be utilized for drug targeting purposes. Therefore, it is important to identify the patients with FAP activity. The aim of the study was to develop a tool to non-invasively quantify FAP activity and investigate its potential as a biomarker for patients with NSCLC. Methods: We developed an ELISA (named C3F), with monoclonal antibodies raised against a FAP generated fragment of type III collagen that was identified by MS, to quantify FAP-mediated cleavage of type III collagen in serum to reflect proteolytic activity of FAP. We confirmed that the biomarker reflects proteolytic activity of FAP by incubating type III collagen with or without FAP and measured C3F. In addition, we confirmed elevated FAP expression in NSCLC (adenocarcinoma and squamous cell carcinoma) compared to healthy tissue and correlation between FAP and COL3A1 expression using data from The Cancer Genome Atlas (TCGA). The comparisons between FAP expression in healthy and cancer tissue was done using one-way ANOVA and correlation between FAP and COL3A1 was done using Spearman correlation. Lastly, C3F was measured in serum samples from patients with NSCLC (n = 109) and healthy controls (n = 42) and the two groups was compared using Mann Whitney test and area under receiver operating characteristic curves (AUROCs). Results: A C3F signal only appeared after type III collagen incubation with FAP, supporting that C3F reflects FAP proteolytic activity. C3F was significantly elevated in serum from patients with NSCLC compared to healthy controls (p < 0.0001, AUROC = 0.78). In support, FAP expression (TCGA) was significantly elevated in NSCLC tissue compared to normal lung tissue (p < 0.0001) and FAP expression correlated with expression of COL3A1 (persons r = 0.83). Conclusion: The FAP-cleavage mediated type III collagen fragment C3F reflects FAP activity and can be quantified non-invasively in serum. In this study we show C3F as promising diagnostic biomarker in NSCLC, however as the biomarker reflects FAP activity the optimal use is more is potentially as a predicter of treatment response from FAP-based drug delivery systems. Citation Format: Rasmus Sund Pedersen, Morten Karsdal, Nicholas Willumsen. Serological quantification of fibroblast activation protein (FAP) cleaved type III collagen: A biomarker for FAP activity [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 4287.

Abstract 353: Investigate the role of homoharringtonine in treating B-cell acute lymphoblastic leukemia

Abstract B lymphoblastic leukemia (B-ALL) is an aggressive and highly lethal hematolymphoid malignancy and it is the most common cancer in children. Although the incidence of B-ALL in adult is lower than that in children, adult patients with B-ALL have a poor prognosis. Relapse/refractory disease is still the main cause of death in B-ALL patients. Homoharringtonine (HHT) is a plant alkaloid that was approved to treat chronic myeloid leukemia (CML) by FDA. Herein, we aimed to investigate the anti-leukemic activity of HHT in B-ALL. Cell viability was reduced in a time and dose-dependent manner upon treatment with HHT. Moreover, HHT was able to induce apoptosis in B-ALL cell lines by downregulating the MCL-1 protein level after 24 hours of treatment. Cell cycle analysis indicated G1 phase arrest, and western blot analysis demonstrated downregulation of CDK-4 and CDK-6. A proteomics study using label-free protein quantitation revealed enrichment of proteins involved in fatty acid oxidation, and further analysis showed downregulation of acyl-CoA desaturase after HHT treatment. Additionally, HHT significantly reduced the leukemic burden and prolonged survival in NSG mice injected with the PALL-2 cell line. Overall, the findings suggest that HHT is effective in treating B-ALL by inducing cell cycle arrest, with a potential inhibitory effect on fatty acid oxidation. Further studies will be conducted to evaluate the mechanism of modulation of fatty acid oxidation. Citation Format: Emilie An An Jiao, Kei Ching Yuen, Bai Lin Li, Chun Fung Sin. Investigate the role of homoharringtonine in treating B-cell acute lymphoblastic leukemia [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 353.