Quantitative Proteomics Research Articles

Comparative Proteomics Highlights that GenX Exposure Leads to Metabolic Defects and Inflammation in Astrocytes.

Exposure to PFAS such as GenX (HFPO dimer acid) has become increasingly common due to the replacement of older generation PFAS in manufacturing processes. While neurodegenerative and developmental effects of legacy PFAS exposure have been studied in depth, there is a limited understanding specific to the effects of GenX exposure. To investigate the effects of GenX exposure, we exposed Drosophila melanogaster to GenX and assessed the motor behavior and performed quantitative proteomics of fly brains to identify molecular changes in the brain. Additionally, metabolic network-based analysis using the iDrosophila1 model unveiled a potential link between GenX exposure and neurodegeneration. Since legacy PFAS exposure has been linked to Parkinson's disease (PD), we compared the proteome data sets between GenX-exposed flies and a fly model of PD expressing human α-synuclein. Considering the proteomic data- and network-based analyses that revealed GenX may be regulating GABA-associated pathways and the immune system, we next explored the effects of GenX on astrocytes, as astrocytes in the brain can regulate GABA. An array of assays demonstrated GenX exposure may lead to mitochondrial dysfunction and neuroinflammatory response in astrocytes, possibly linking non-cell autonomous neurodegeneration to the motor deficits associated with GenX exposure.

Progressive Amyloid-β Accumulation in the Brain leads to Altered Protein Expressions in the Liver and Kidneys of APP knock-in Mice.

Impaired hepatic and renal function influence Alzheimer's disease (AD) progression; however, whether AD progression affects these important organ functions remains unclear. Here, we investigated the impact of AD progression, characterized by brain amyloid-beta (Aβ) accumulation, on liver and kidney function of AppNL-G-F/NL-G-F (APP-KI) mice using quantitative proteomics. SWATH-based quantitative proteomics revealed changes in mitochondrial, drug metabolism, and pharmacokinetic-related proteins in mouse liver and kidneys during the early (2-month-old) and intermediate (5-month-old) stages of Aβ accumulation. Notably, in 5-month-old APP-KI mouse liver, 25 phase I/II metabolizing enzymes (8 CYPs, 7 UGTs, 7 CESs, and 3 SLCs) and five transporters (2 ABCs and 3 SLCs) were significantly altered; specifically, Ugt1a9 and Slc33a1 protein abundances increased, whereas Ugt1a1 and Abcc3 protein abundances decreased. In the kidneys, 13 phase I/II metabolizing enzymes and 10 ABC-SLC transporters were altered, including Ugt1a6, Ugt1a7, Slc22a7, and Abcb1a. Additionally, plasma proteins, such as albumin and alpha-1-acid glycoprotein, which are critical for drug binding and distribution, were also altered. These results underscore the significant role of progressive brain Aβ accumulation in modifying hepatic and renal protein abundances, potentially influencing drug metabolism and disposition in AD. Our findings provide novel insights into the complex relationship between AD progression and organ dysfunction.

Impact of the tumor microenvironment in splenic metastasis in high-grade serous ovarian cancer revealed by quantitative proteomics

Impact of the tumor microenvironment in splenic metastasis in high-grade serous ovarian cancer revealed by quantitative proteomics

Polyphenol Tannin‐Induced Protein Precipitation for Drug Target Discovery by Chemical Proteomics

AbstractHigh‐throughput drug discovery is highly dependent on the targets available to accelerate the process of candidate screening. Unbiased drug target identification is of crucial importance to reveal the mechanisms of protein–drug interactions. In recent years, energetics‐based protein conformation methods have become an alternative strategy for protein target discovery of bioactive drugs. In this study, we present a novel tannin protein precipitation method (TAP) for identifying target proteins of small molecules using the effect on protein solubility of tannin. The feasibility of this method was validated using a drug model of methotrexate. It was found that the known target DHFR yields a significant solubility shift. This method was further investigated with Annexin A2, the target protein of protopanaxadiol (PPD)‐S by western blot, and by screening potential target proteins of PPD‐S in K562 cells by quantitative proteomics. Finally, the TAP method was employed to differentiate the target proteins of pair chiral molecules PPD‐S and PPD‐R, which can bring up novel insights into the mechanism of drug–protein interactions. This study not only provides an effective tool for drug research and development but also offers new ideas for understanding the mechanism of action of natural chiral bioactive compounds.

Discovery of inflammatory response-related proteins as candidate urinary biomarkers of allergic rhinitis

ObjectivesAllergic rhinitis (AR) is a pervasive condition, affecting a significant global population, often with lifelong implications. The objective of this study is to screen for inflammatory-related differential proteins in the urine of AR patients, aiming to analyze the correlation between these identified proteins and the severity of allergic rhinitis. Design and methodsTo diagnose AR, we utilized the sIgE test to measure the allergenic responses. Based on the total IgE levels, patients were segregated into two categories: AR1 (IgE>125IU/mL) and AR2 (IgE≤125IU/mL). The differential proteins related to inflammation in the urine of patients were screened using TMT labeling combined with LC–MS/MS. Subsequently, these proteins were validated through PRM-based proteomics quantification. ResultsWe found significant increases in FCGR3A, A1AT, KRT18, and IL18 in the AR group (P<0.001). PRM-based quantification results highlighted considerable differences in the concentrations of these four proteins across varying degrees of allergic rhinitis severity. A biomarker panel comprising FCGR3A, A1AT, KRT18, and IL18 was identified, with an area under the curve (AUC) value of 0.993 for the detection of AR. ConclusionsThis study provides the first comprehensive report of combined TMT labeling LC–MS/MS quantitative proteomics and PRM analysis for discovering urinary biomarkers related to inflammatory responses in AR. These findings may be instrumental in evaluating the severity of allergic rhinitis and further our understanding of the molecular mechanisms underlying AR.

Deep quantitative proteomics identifies elevated MUC16 in low- compared to high-grade serous ovarian carcinoma

Deep quantitative proteomics identifies elevated MUC16 in low- compared to high-grade serous ovarian carcinoma

Akt Inhibitors Prevent CyHV-2 Infection In Vitro

Cyprinid herpesvirus 2 (CyHV-2) is a double-stranded DNA virus that infects goldfish (Carassius auratus) and crucian carp (C. carassius), resulting in substantial mortality rates and significant epidemiological implications. To gain deeper insights into CyHV-2-host interactions and identify potential therapeutic targets, quantitative proteomics analysis was conducted on CyHV-2-infected Ryukin goldfish fin (RyuF-2) cells. Our findings revealed significant alterations in the expression of proteins associated with the PI3K/Akt signaling pathway, which were up-regulated upon viral infection. Building on these observations, we employed LY294002, a specific inhibitor of PI3K, to investigate its impact on viral replication by inhibiting the PI3K/Akt pathway in GiCF cell line derived from the caudal fin of Carassius auratus gibelio (Bloch). Our results demonstrated the inhibition of both CyHV-2 replication and Akt phosphorylation within this pathway. Quercetin, a plant-derived analogue of LY294002, was further investigated for its anti-CyHV-2 effects in vitro as well as its underlying mechanism. The results suggested that quercetin exhibits antiviral properties against CyHV-2 and may exert its effects through mechanisms similar to those observed with LY294002. Given that aquaculture water serves as a vector for aquaculture viral diseases and the release of chemical compounds can lead to pollution of the aquatic environment, our study shifted focus to crude extracts obtained from plants. We confirmed crude quercetin extract derived from Cuminum anisum has antiviral activity against CyHV-2 in vitro. Therefore, based on our identification of the involvement of PI3K/Akt signaling pathway in CyHV-2 replication, along with verification of its antiviral mechanism using LY294002, we propose natural dietary quercetin as a promising candidate for development into a novel anti-CyHV-2 drug.

Quantitative proteomics and multi-omics analysis identifies potential biomarkers and the underlying pathological molecular networks in Chinese patients with multiple sclerosis

Multiple sclerosis (MS) is an autoimmune disorder caused by chronic inflammatory reactions in the central nervous system. Currently, little is known about the changes of plasma proteomic profiles in Chinese patients with MS (CpwMS) and its relationship with the altered profiles of multi-omics such as metabolomics and gut microbiome, as well as potential molecular networks that underlie the etiology of MS. To uncover the characteristics of proteomics landscape and potential multi-omics interaction networks in CpwMS, Plasma samples were collected from 22 CpwMS and 22 healthy controls (HCs) and analyzed using a Tandem Mass Tag (TMT)-based quantitative proteomics approach. Our results showed that the plasma proteomics pattern was significantly different in CpwMS compared to HCs. A total of 90 differentially expressed proteins (DEPs), such as LAMP1 and FCG2A, were identified in CpwMS plasma comparing to HCs. Furthermore, we also observed extensive and significant correlations between the altered proteomic profiles and the changes of metabolome, gut microbiome, as well as altered immunoinflammatory responses in MS-affected patients. For instance, the level of LAMP1 and ERN1 were significantly and positively correlated with the concentrations of metabolite L-glutamic acid and pro-inflammatory factor IL-17 (Padj < 0.05). However, they were negatively correlated with the amounts of other metabolites such as L-tyrosine and sphingosine 1-phosphate, as well as the concentrations of IL-8 and MIP-1α. This study outlined the underlying multi-omics integrated mechanisms that might regulate peripheral immunoinflammatory responses and MS progression. These findings are potentially helpful for developing new assisting diagnostic biomarker and therapeutic strategies for MS.

Quantitative proteomic profiling reveals sexual dimorphism in the retina and RPE of C57BL6 mice.

Sex as a biological variable is not a common consideration in molecular mechanistic or preclinical studies of retinal diseases. Understanding the sexual dimorphism of adult RPE and retina under physiological conditions is an important first step in improving our understanding of sex-based physio-pathological mechanisms. Isobaric tags for relative and absolute quantitation (iTRAQ) were used for quantitative proteomics of male and female mouse retina and RPE (10 mice of each sex for each tissue type). Differentially expressed proteins were subjected to Gene Ontology (GO) analysis and Ingenuity Pathway Analysis (IPA). Differential expression analysis identified 21 differentially expressed proteins in the retina and 58 differentially expressed proteins in the RPE. Ingenuity pathway analysis identified the top canonical pathways differentially activated in the retina to be calcium transport I, nucleotide excision repair, molecular transport and cell death and survival. In the RPE, the top canonical pathways were calcium signaling, dilated cardiomyopathy signaling, actin cytoskeletal signaling and cellular assembly and organization. These results provide insights into sex differences in the retina and RPE proteome of mice and begin to shed clues into the sexual dimorphism seen in retinal diseases.

The MON1-CCZ1 complex plays dual roles in autophagic degradation and vacuolar protein transport in rice.

Autophagy is a highly conserved cellular program in eukaryotic cells which mediates the degradation of cytoplasmic components through the lysosome, also named the vacuole in plants. However, the molecular mechanisms underlying the fusion of autophagosomes with the vacuole remain unclear. Here, we report the functional characterization of a rice (Oryza sativa) mutant with defects in storage protein transport in endosperm cells and accumulation of numerous autophagosomes in root cells. Cytological and immunocytochemical experiments showed that this mutant exhibits a defect in the fusion between autophagosomes and vacuoles. The mutant harbors a loss-of-function mutation in the rice homolog of Arabidopsis thaliana MONENSIN SENSITIVITY1 (MON1). Biochemical and genetic evidence revealed a synergistic interaction between rice MON1 and AUTOPHAGY-RELATED 8a in maintaining normal growth and development. In addition, the rice mon1 mutant disrupted storage protein sorting to protein storage vacuoles. Furthermore, quantitative proteomics verified that the loss of MON1 function influenced diverse biological pathways including autophagy and vacuolar transport, thus decreasing the transport of autophagic and vacuolar cargoes to vacuoles. Together, our findings establish a molecular link between autophagy and vacuolar protein transport, and offer insights into the dual functions of the MON1-CCZ1 (CAFFEINE ZINC SENSITIVITY1) complex in plants.

Proteomics analysis of round and wrinkled pea (Pisum sativum L.) seeds during different development periods.

Seed development is complex, influenced by genetic and environmental factors. Understanding proteome profiles at different seed developmental stages is key to improving seed composition and quality. We used label-free quantitative proteomics to analyze round and wrinkled pea seeds at five growth stages: 4, 7, 12, 15, and days after anthesis (DAA), and at maturity. Wrinkled peas had lower starch content (30%) compared to round peas (47%-55%). Proteomic analysis identified 3659 protein groups, with 21%-24% shared across growth stages. More proteins were identified during early seed development than at maturity. Statistical analysis found 735 significantly different proteins between wrinkled and round seeds, regardless of the growth stage. The detected proteins were categorized into 31 functional classes, including metabolic enzymes, proteins involved in protein biosynthesis and homeostasis, carbohydrate metabolism, and cell division. Cell division-related proteins were more abundant in early stages, while storage proteins were more abundant later in seed development. Wrinkled seeds had lower levels of the starch-branching enzyme (SBEI), which is essential for amylopectin biosynthesis. Seed storage proteins like legumin and albumin (PA2) were more abundant in round peas, whereas vicilin was more prevalent in wrinkled peas. This study enhances our understanding of seed development in round and wrinkled peas. The study highlighted the seed growth patterns and protein profiles in round and wrinkled peas during seed development. It showed how protein accumulation changed, particularly focusing on proteins implicated in cell division, seed reserve metabolism, as well as storage proteins and protease inhibitors. These findings underscore the crucial role of these proteins in seed development. By linking the proteins identified to Cameor-based pea reference genome, our research can open avenues for deeper investigations into individual proteins, facilitate their practical application in crop improvement, and advance our knowledge of seed development.

The Influence of Aspergillus fumigatus Fatty Acid Oxygenases PpoA and PpoC on Caspofungin Susceptibility

Aspergillus fumigatus can cause invasive pulmonary aspergillosis (IPA). Fungicidal azoles and fungistatic caspofungin (CAS) are the first- and second-line therapies, respectively, used to treat IPA. Treatment of A. fumigatus with CAS or micafungin induces the production of the oxylipin 5,8-diHODE by the fungal oxygenase PpoA. For this article, we investigated the influence of ppo genes, which encode the fatty acid oxygenases responsible for oxylipin biosynthesis, on CAS tolerance. The influence of PpoA and PpoC on CAS tolerance is mediated by MpkA phosphorylation and protein kinase A (PKA) activity. RNAseq transcriptional profiling and the label-free quantitative proteomics of the ppoA and ppoC mutants showed that differentially expressed genes and proteins are related to secondary metabolites and carbohydrate metabolism. We also characterized two clinical isolates, CM7555 and IFM61407, which decrease and increase susceptibility to CAS, respectively. CM7555 does not exhibit increased oxylipin production in the presence of CAS but oxylipin induction upon CAS exposure is increased in IFM61407, suggesting that oxylipins are not the only mechanism involved in CAS tolerance in these isolates. Upon CAS exposure, CM7555 has higher MpkA phosphorylation and PKA activity than IFM61407. Our results reveal the different aspects and genetic determinants involved in A. fumigatus CAS tolerance.

Label-Free Quantitative Proteomics Analysis of Nasal Lavage Fluid in Chronic Rhinosinusitis with Nasal Polyposis

(1) Background: Chronic rhinosinusitis (CRS) is a common chronic inflammation of the nasal mucosa and the paranasal sinuses. The pathogenesis of chronic rhinosinusitis (CRS) is multifactorial and, as of yet, not well understood. (2) Methods: Nasal lavage fluid samples were collected from patients diagnosed with chronic sinusitis with nasal polyposis (CRSwNP) (n = 10) and individuals without sinusitis (control group) (n = 10) who had no nasal complaints. In the present study, we used an untargeted label-free LC-MS/MS mass spectrometric approach combined with bioinformatics and network pathway analysis to compare the changes in the proteomic profiles of the CRSwNP group and the control group. Data from LC-MS/MS underwent univariate and multivariate analyses. (3) Results: The proteomic analyses revealed distinct differences in the abundances of nasal lavage fluid proteins between the CRSwNP and control groups: a total of 234 proteins, 151 up- and 83 down-regulated in CRSwNP. Functional Gene Ontology (GO) analysis showed that dysregulated proteins were involved in airway inflammatory reaction, immune response, and oxidative stress. The biomarkers were evaluated using the Receiver Operating Characteristic (ROC) curve; an Area Under the Curve (AUC) of 0.999 (95% CI) identified potential biomarkers between the CRSwNP and control group. EMILIN-3 and RAB11-binding protein RELCH were down-regulated, and Macrophage migration inhibitory factor and deoxyribonuclease-1 were up-regulated, in CRSwNP compared to the control group. (4) Conclusions: These differentially expressed proteins identified in CRSwNP are involved in airway inflammatory reaction, immune response, and oxidative stress. In particular, the identification of increased interleukin-36 gamma (IL-36γ), which contributes to inflammatory response, and a decrease in SOD, in this group are notable findings. In the future, several of these proteins may prove useful for exploring the pathogenesis of nasal polyps and chronic sinusitis or as objective biomarkers for quantitatively monitoring disease progression or response to therapy.

Quantitative chemical proteomics reveals that phenethyl isothiocyanate covalently targets BID to promote apoptosis

Naturally occurring isothiocyanates (ITCs) found in cruciferous vegetables, such as benzyl isothiocyanate (BITC), phenethyl isothiocyanate (PEITC), and sulforaphane (SFN), have attracted significant research interest for their promising anti-cancer activity in vitro and in vivo. While the induction of apoptosis is recognized to play a key role in the anti-cancer effects of ITCs, the specific protein targets and associated upstream events underlying ITC-induced apoptosis remain unknown. In this study, we present a set of chemical probes that are derived from BITC, PEITC, and SFN and equipped with bioorthogonal alkynyl handles to systematically profile the target proteins of ITCs in live cancer cells. Using a competition-based quantitative chemical proteomics approach, we identify a range of candidate target proteins of ITCs enriched in biological processes such as apoptosis. We show that BID, an apoptosis regulator of the Bcl-2 family, is covalently modified by ITCs on its N-terminal cysteines. Functional characterization demonstrates that covalent binding to N-terminal cysteines of BID by PEITC results in conformational changes of the protein and disruption of the self-inhibitory interaction between N- and C-terminal regions of BID, thus unleashing the highly active C-terminal segment to exert downstream pro-apoptotic effects. Consistently, PEITC promotes the cleavage and mitochondrial translocation of BID, leading to a strong induction of apoptosis. We further show that mutation of N-terminal cysteines impairs the N- and C-terminal interaction of BID, relieving the self-inhibition and enhancing its apoptotic activity. Overall, our chemical proteomics profiling and functional studies not only reveal BID as the principal target of PEITC in mediating upstream events for the induction of apoptosis, but also uncover a novel molecular mechanism involving N-terminal cysteines within the first helix of BID in regulating its pro-apoptotic potential.

Link Between Individual Codon Frequencies and Protein Expression: Going Beyond Codon Adaptation Index

An important role of a particular synonymous codon composition of a gene in its expression level is well known. There are a number of algorithms optimizing codon usage of recombinant genes to maximize their expression in host cells. Nevertheless, the underlying mechanism remains unsolved and is of significant relevance. In the realm of modern biotechnology, directing protein production to a specific level is crucial for metabolic engineering, genome rewriting and a growing number of other applications. In this study, we propose two new simple statistical and empirical methods for predicting the protein expression level from the nucleotide sequence of the corresponding gene: Codon Expression Index Score (CEIS) and Codon Productivity Score (CPS). Both of these methods are based on the influence of each individual codon in the gene on the overall expression level of the encoded protein and the frequencies of isoacceptors in the species. Our predictions achieve a correlation level of up to r = 0.7 with experimentally measured quantitative proteome data of Escherichia coli, which is superior to any previously proposed methods. Our work helps understand how codons determine protein abundances. Based on these methods, it is possible to design proteins optimized for expression in a particular organism.

Comparative Proteomics of ccRCC Cell Lines to Identify Kidney Cancer Progression Factors.

Clear cell renal cell carcinoma (ccRCC) is the most common type of kidney cancer, accounting for approximately 75% of kidney cancers. The objective of this study was to identify novel progression markers for ccRCC based on proteomics, with the goal of stage determination and early diagnosis of kidney cancer patients. We performed quantitative global proteomics coupled with Stable Isotope Labeling by Amino Acids in Cell Culture (SILAC) and high-resolution tandem mass spectrometry on kidney-derived cells, including HEK-293, 786-O (primary ccRCC), and Caki-1 (metastatic ccRCC) cells, to investigate the novel progression factors of ccRCC. In this study, a total of 1,106 proteins were quantified. The Gene Ontology and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were conducted for differentially expressed proteins (DEPs) that were increased in ccRCC cells compared to HEK-293 cells. Ultimately, 99 DEPs including 75 up-regulated and 24 down-regulated proteins, that were significantly altered in both ccRCC cells, were identified. Among DEPs, vimentin was identified as the most significantly changed protein. Its increased expression in ccRCC was verified through immunoblotting in ccRCC cell lines and immunohistochemistry in kidney tumors. From the global proteomics data detected in ccRCC, we propose 99 DEPs including vimentin as progression factors.

Novel protein-based biomarkers of out-of-hospital sudden cardiac death after myocardial infarction

Abstract Background Risk stratification of out-of-hospital sudden cardiac death (SCD) patients after acute myocardial infarction (AMI) is crucial for timely therapeutic interventions. However, left ventricular ejection fraction (LVEF) as a traditional clinical tool has major limitations, necessitating improved risk stratification strategies. High-throughput proteomic offers the potential to detect novel biomarkers to improve risk assessment. Purpose To identifiy optimal circulating protein combination predicting out-of-hospital SCD post-AMI. Methods We conducted a two-center retrospective nested case-control study of cases with out-of-hospital SCD and controls with AMI who discharged alive. In a discovery cohort, we carried out plasma proteomics profiling of 6,592 peptides and 522 proteins using mass spectrometry. The proteins associated to SCD were further assessed using targeted quantitative proteomics, and the optimal protein combination for predicting out-of-hospital SCD post-AMI was identified by predictor selection classifier. Finally, ELISA validated its predictive value by comparing with a clinical stratification tool (LVEF ≤35%) and two reported risk stratification models within discovery and two independent validation cohorts. Results In the discovery cohort (Figure 1, 210 participants including 105 SCD cases [median age: 68.0 years, 59.05% men]), mass spectrometry discovered 44 differential proteins not previously associated to SCD. Targeted proteomics quantified these proteins and identified optimal protein combination, SCD-warning three protein combination (SCD-W3P), including coronin-1A, haptoglobin, and complement factor D (CFD). A model based on expression levels of SCD-W3P outperformed LVEF alone (Figure 2, C-statistic: 0.752 vs. 0.548, P&amp;lt;0.001), improving its risk prediction (ΔC-statistic = 0.281, P&amp;lt;0.001) and net reclassification improvement (9.5%, P&amp;lt;0.001). Similar incremental discrimination metrics were observed in two reported stratification models combined with SCD-W3P, particularly within the LVEF-preserved population. These findings were repeatably validated in two independent cohorts (Figure 1 and 2, validation 1: 160 participants including 40 SCD cases [median age: 72.5 years, 67.50% men]; validation 2: 96 participants including 24 SCD cases [median age: 74.5 years, 79.17% men]). Finally, CFD inhibition protection for mortality and pro-malignant arrhythmias in AMI mice supported biological plausibility of the critical protein in SCD-W3P. Conclusions This two-center retrospective nested case-control study with two independent validation serves as the largest-scale investigation with the most comprehensive proteomics profiling in out-of-hospital SCD after AMI, identifying an optimal protein combination which may contribute to enhance early identification for timely intensive management. These findings suggest pivotal proteins for improving understanding SCD pathophysiology.Methods overview.Comparison of model performances for pre

Quantitative proteomics reveals oxygen-induced adaptations in Caldalkalibacillus thermarum TA2.A1 microaerobic chemostat cultures

The thermoalkaliphile Caldalkalibacillus thermarum possesses a highly branched respiratory chain. These primarily facilitate growth at a wide range of dissolved oxygen levels. The aim of this study was to investigate the regulation of C. thermarum respiratory chain. C. thermarum was cultivated in chemostat bioreactors with a range of oxygen levels (0.25% O2–4.2% O2). Proteomic analysis unexpectedly showed that both the type I and the type II NADH dehydrogenase present are constitutive. The two terminal oxidases detected were the cytochrome c:oxygen aa3 oxidase, whose abundance was highest at 4.2% O2. The cytochrome c:oxygen ba3 oxidase was more abundant at most other O2 levels, but its abundance started to decline below 0.42% O2. We expected this would result in the emergence of the cytochrome c:oxygen bb3 complex or the menaquinol:oxygen bd complex, the other two terminal oxidases of C. thermarum; but neither was detected. Furthermore, the sodium-proton antiporter complex Mrp was downregulated under the lower oxygen levels. Normally, in alkaliphiles, this enzyme is considered crucial for sodium homeostasis. We propose that the existence of a sodium:acetate exporter decreases the requirement for Mrp under strong oxygen limitation.

Combining Quantitative Proteomics and Interactomics for a Deeper Insight into Molecular Differences between Human Cell Lines.

In modern biomedical research, cultivable cell lines are an indispensable tool, and the selection of cell lines that exhibit specific functional profiles is often critical to success. Cellular functional pathways have evolved through the selection of protein intra- and intermolecular interactions collectively referred to as the interactome. In the present work, quantitative in vivo protein cross-linking and mass spectrometry were used to probe large-scale protein interactome differences among three commonly employed human cell lines, namely, HEK293, MCF-7, and HeLa cells. These data illustrated highly reproducible quantitative interactome levels with R2 values larger than 0.8 for all biological replicates. Proteome abundance levels were also measured using data-independent acquisition quantitative proteomics methods. Combining quantitative interactome and proteome information allowed the visualization of cell type-specific interactome changes mediated by proteome level adaptations and independently regulated interactome changes to gain deeper insight into possible drivers of these changes. Among the largest detected alterations in protein interactions and conformations are changes in cytoskeletal proteins, RNA-binding proteins, chromatin remodeling complexes, mitochondrial proteins, and others. Overall, these data demonstrate the utility and reproducibility of quantitative cross-linking to study system-level interactome variations. Moreover, these results illustrate how combined quantitative interactomics and proteomics can provide unique insight into cellular functional landscapes.

A Non-targeted Proteomics Newborn Screening Platform for Inborn Errors of Immunity

PurposeNewborn screening using dried blood spot (DBS) samples for the targeted measurement of metabolites and nucleic acids has made a substantial contribution to public healthcare by facilitating the detection of neonates with genetic disorders. Here, we investigated the applicability of non-targeted quantitative proteomics analysis to newborn screening for inborn errors of immunity (IEIs).MethodsDBS samples from 40 healthy newborns and eight healthy adults were subjected to non-targeted proteomics analysis using liquid chromatography-mass spectrometry after removal of the hydrophilic fraction. Subsequently, DBS samples from 43 IEI patients were analyzed to determine whether patients can be identified by reduced expression of disease-associated proteins.ResultsDBS protein profiling allowed monitoring of levels of proteins encoded by 2912 genes, including 1110 listed in the Online Mendelian Inheritance in Man database, in healthy newborn samples, and was useful in identifying patients with IEIs by detecting reduced levels of disease causative proteins and their interacting proteins, as well as cell-phenotypical alterations.ConclusionOur results indicate that non-targeted quantitative protein profiling of DBS samples can be used to identify patients with IEIs and develop a novel newborn screening platform for genetic disorders.