Alzheimer's disease CSF biomarkers correlate with early pathology and alterations in neuronal and glial gene expression.

INTRODUCTION: Normal pressure hydrocephalus (NPH) patients undergoing cortical shunting frequently show early AD pathology on cortical biopsy, which is predictive of progression to clinical AD. The objective of this study was to use samples from this cohort to identify CSF biomarkers for AD-related CNS pathophysiologic changes using tissue and fluids with early pathology, free of post-mortem artifact. METHODS: We analyzed Simoa, proteomic, and metabolomic CSF data from 81 patients with previously documented pathologic and transcriptomic changes. RESULTS: AD pathology on biopsy correlates with CSF ß-amyloid-40/42, neurofilament light chain (NfL), and phospho-tau-181(p-tau181)/ß-amyloid-42, while several gene expression modules correlate with NfL. Proteomic analysis highlights 7 core proteins that correlate with pathology and gene expression changes on biopsy, and metabolomic analysis of CSF identifies disease-relevant groups that correlate with biopsy data.. DISCUSSION: As additional biomarkers are added to AD diagnostic panels, our work provides insight into the CNS pathophysiology these markers are tracking.

Septin 7 interacts with Numb to preserve sarcomere structural organization and muscle contractile function.

Here, we investigated the mechanisms by which aging-related reductions of the levels of Numb in skeletal muscle fibers contribute to loss of muscle strength and power, two critical features of sarcopenia. Numb is an adaptor protein best known for its critical roles in development, including asymmetric cell division, cell-type specification, and termination of intracellular signaling. Numb expression is reduced in old humans and mice. We previously showed that, in mouse skeletal muscle fibers, Numb is localized to sarcomeres where it is concentrated near triads; conditional inactivation of Numb and a closely related protein Numb-like (Numbl) in mouse myofibers caused weakness, disorganization of sarcomeres, and smaller mitochondria with impaired function. Here, we found that a single knockout of Numb in myofibers causes reduction in tetanic force comparable to a double Numb, Numbl knockout. We found by proteomics analysis of protein complexes isolated from C2C12 myotubes by immunoprecipitation using antibodies against Numb that Septin 7 is a potential Numb-binding partner. Septin 7 is a member of the family of GTP-binding proteins that organize into filaments, sheets, and rings, and is considered part of the cytoskeleton. Immunofluorescence evaluation revealed a partial overlap of staining for Numb and Septin 7 in myofibers. Conditional, inducible knockouts of Numb led to disorganization of Septin 7 staining in myofibers. These findings indicate that Septin 7 is a Numb-binding partner and suggest that interactions between Numb and Septin 7 are critical for structural organization of the sarcomere and muscle contractile function.

Data-Independent Acquisition and Label-Free Quantification for Quantitative Proteomics Analysis of Human Cerebrospinal Fluid.

This article presents a practical guide to mass spectrometry-based data-independent acquisition and label-free quantification for proteomics analysis applied to cerebrospinal fluid, offering a robust and scalable approach to probing the proteomic composition of the central nervous system. © 2024 Wiley Periodicals LLC. Basic Protocol 1: Cerebrospinal fluid sample collection and preparation for mass spectrometry analysis Basic Protocol 2: Mass spectrometry sample analysis with data-independent acquisition Support Protocol: Data-dependent mass spectrometry and spectral library construction Basic Protocol 3: Analysis of mass spectrometry data.

SEPTIN 7 INTERACTS WITH NUMB TO PRESERVE SARCOMERE STRUCTURAL ORGANIZATION AND MUSCLE CONTRACTILE FUNCTION.

Here, we investigated mechanisms by which aging-related reductions of the levels of Numb in skeletal muscle fibers contribute to loss of muscle strength and power, two critical features of sarcopenia. Numb is an adaptor protein best known for its critical roles in development including asymmetric cell division, cell-type specification and termination of intracellular signaling. Numb expression is reduced in old humans and mice. We previously showed that, in mouse skeletal muscle fibers, Numb is localized to sarcomeres where it is concentrated near triads; conditional inactivation of Numb and a closely related protein Numb-like (NumbL) in mouse myofibers caused weakness, disorganization of sarcomeres and smaller mitochondria with impaired function. Here, we found that a single knockout of Numb in myofibers causes reduction in tetanic force comparable to a double Numb, NumbL knockout. We found by proteomics analysis of protein complexes isolated from C2C12 myotubes by immunoprecipitation using antibodies against Numb, that Septin 7 is a potential Numb binding partner. Septin 7 is a member of the family of GTP-binding proteins that organize into filaments, sheets and rings, and is considered part of the cytoskeleton. Immunofluorescence evaluation revealed a partial overlap of staining for Numb and Septin 7 in myofibers. Conditional, inducible knockouts of Numb led to disorganization of Septin 7 staining in myofibers. These findings indicate that Septin 7 is a Numb binding partner and suggest that interactions between Numb and Septin 7 are critical for structural organization of the sarcomere and muscle contractile function.

Lipopolysaccharide and statin-mediated immune-responsive protein networks revealed in macrophages through affinity purification spacer-arm controlled cross-linking (AP-SPACC) proteomics.

Toll-like receptor 4 (TLR4), a pattern recognition receptor, is activated by lipopolysaccharides (LPS) and induces the MyD88 pathway, which subsequently produces pro-inflammatory cytokines through activation of transcriptional nuclear factor (NF)-κB. Statins have been widely prescribed to reduce cholesterol synthesis for patients with cardiovascular disease. Statins may have pleiotropic effects, which include anti- and pro-inflammatory effects on cells. The molecular mechanism of the sequential influence of LPS and statin on the innate immune system remains unknown. We employed affinity purification-spacer-arm controlled cross-linking (AP-SPACC) MS-based proteomics analysis to identify the LPS- and statin-LPS-responsive proteins and their networks. LPS-stimulated RAW 264.7 macrophage cells singly and combined with the drug statin used in this study. Two chemical cross-linkers with different spacer chain lengths were utilized to stabilize the weak and transient interactors. Proteomic analysis identified 1631 differentially expressed proteins. We identified 151 immune-response proteins through functional enrichment analysis and visualized their interaction networks. Selected candidate protein-coding genes were validated, specifically squamous cell carcinoma antigens recognized by T cells 3, sphingosine-1-phosphate lyase 1, Ras-related protein Rab-35, and tumor protein D52 protein-coding genes through transcript-level expression analysis. The expressions of those genes were significantly increased upon statin treatment and decreased in LPS-stimulated macrophage cells. Therefore, we presumed that the expression changes of genes occurred due to immune response during activation of inflammation. These results highlight the immune-responsive proteins network, providing a new platform for novel investigations and discovering future therapeutic targets for inflammatory diseases.

Identification of Inflammatory Proteomics Networks of Toll-like Receptor 4 through Immunoprecipitation-Based Chemical Cross-Linking Proteomics.

Toll-like receptor 4 (TLR4) is a receptor on an immune cell that can recognize the invasion of bacteria through their attachment with bacterial lipopolysaccharides (LPS). Hence, LPS is a pro-immune response stimulus. On the other hand, statins are lipid-lowering drugs and can also lower immune cell responses. We used human embryonic kidney (HEK 293) cells engineered to express HA-tagged TLR-4 upon treatment with LPS, statin, and both statin and LPS to understand the effect of pro- and anti-inflammatory responses. We performed a monoclonal antibody (mAb) directed co-immunoprecipitation (CO-IP) of HA-tagged TLR4 and its interacting proteins in the HEK 293 extracted proteins. We utilized an ETD cleavable chemical cross-linker to capture weak and transient interactions with TLR4 protein. We tryptic digested immunoprecipitated and cross-linked proteins on beads, followed by liquid chromatography-mass spectrometry (LC-MS/MS) analysis of the peptides. Thus, we utilized the label-free quantitation technique to measure the relative expression of proteins between treated and untreated samples. We identified 712 proteins across treated and untreated samples and performed protein network analysis using Ingenuity Pathway Analysis (IPA) software to reveal their protein networks. After filtering and evaluating protein expression, we identified macrophage myristoylated alanine-rich C kinase substrate (MARCKSL1) and creatine kinase proteins as a potential part of the inflammatory networks of TLR4. The results assumed that MARCKSL1 and creatine kinase proteins might be associated with a statin-induced anti-inflammatory response due to possible interaction with the TLR4.

Proteomic and Single-Cell Transcriptomic Dissection of Human Plasmacytoid Dendritic Cell Response to Influenza Virus.

Plasmacytoid dendritic cells [pDCs] represent a rare innate immune subset uniquely endowed with the capacity to produce substantial amounts of type-I interferons. This function of pDCs is critical for effective antiviral defenses and has been implicated in autoimmunity. While IFN-I and select cytokines have been recognized as pDC secreted products, a comprehensive agnostic profiling of the pDC secretome in response to a physiologic stimulus has not been reported. We applied LC-MS/MS to catalogue the repertoire of proteins secreted by pDCs in the unperturbed condition and in response to challenge with influenza H1N1. We report the identification of a baseline pDC secretome, and the repertoire of virus-induced proteins including most type-I interferons, various cytokines, chemokines and granzyme B. Additionally, using single-cell RNA-seq [scRNA-seq], we perform multidimensional analyses of pDC transcriptional diversity immediately ex vivo and following stimulation. Our data evidence preexisting pDC heterogeneity, with subsequent highly specialized roles within the pDC population upon stimulation ranging from dedicated cytokine super-producers to cells with APC-like traits. Dynamic expression of transcription factors and surface markers characterize subclusters within activated pDCs. Integrating the proteomic and transcriptomic datasets confirms the pDC-subcluster origin of the proteins identified in the secretome. Our findings represent the most comprehensive molecular characterization of primary human pDCs at baseline, and in response to influenza virus, reported to date.

Proteomics Network Analysis of Polarized Macrophages.

Macrophages play a critical role in innate immunity through Toll-like receptor (TLR) signaling. Lipopolysaccharides (LPS) are a ligand of microbial origin that can trigger cell signaling in macrophages through TLRs and production of pro-inflammatory cytokines. Statin, a hypercholesterolemia drug, on the contrary, can reduce inflammatory cytokine production, and inflammation at large. Discovery-based quantitative proteomics is a useful method for unraveling complex protein networks and inter-protein interactions. Here, we describe protocols for studying the inflammatory proteomics network in RAW 264.7 cells (a model murine macrophage cell line) with the singular or sequential treatment of LPS and statin. We provide detailed protocols, including a quantitative proteomic analysis by mass spectrometry data, a protein network analysis by bioinformatics, and a validation of target through biochemical methods (e.g., immunocytochemistry, immunoblotting, gene silencing, and real-time PCR).

Evaluating the performance of an ETD-cleavable cross-linking strategy for elucidating protein structures.

Chemical cross-linking is a powerful strategy for elucidating the structures of protein or protein complexes. The distance constraints obtained from cross-linked peptides represent the three-dimensional structures of the protein complexes. Unfortunately, structural analysis using cross-linking approach demands a significant amount of data to elucidate protein structures. This requires the development of several cleavable cross-linkers with different range of spacer chains. An Electron Transfer Dissociation (ETD) tandem mass spectrometry cleavable bond hydrazone was reported. Its fragmentation with conjugated peptides showed promise for the development of a new ETD cleavable cross-linker. However, no cross-linker was developed utilizing this ETD cleavable bond. For the first time, we attempted to develop an ETD cleavable cross-linker utilizing a hydrazone bond. We overcome the pitfall for the synthesis of this cross-linker and an easy synthesis scheme is reported. In this report, we evaluated the performance of this cross-linker called Hydrazone Incorporated ETD cleavable cross-linker (HI-ETD-XL) in model peptides and proteins. The characteristic fragmentation behavior of HI-ETD-XL during electron transfer dissociation and subsequent sequence identification of the peptide fragment ions by tandem mass spectrometry allowed the identification of cross-linked peptides unambiguously. We believe the availability of this ETD cleavable cross-linker will advance structural proteomics research significantly. SIGNIFICANCE: Many cellular processes rely on the structural dynamics of protein complexes. The detailed knowledge of the structure and dynamics of protein complexes is crucial for understanding their biological functions and regulations. However, most of the structure of these multiprotein entities remain uncharacterized and sometimes is very challenging to reveal with biophysical techniques alone. Chemical cross-linking combined with mass spectrometry (MS) has proven to be a dependable strategy in structural proteomics field. However, data complexity and false identifications are significant hindrances for unambiguous identification of cross-linked peptides. Confident identifications demand structural studies with cross-linkers with different properties and variable spacer chain lengths. This new ETD cleavable cross-linking workflow will provide additional confidence to overcome these drawbacks and allow us to pinpoint cross-linked peptides confidently.

Improved in-solution trypsin digestion method for methanol-chloroform precipitated cellular proteomics sample.

Methanol-chloroform based protein precipitation is an essential step in many liquid chromatography-tandem mass spectrometry-based cellular proteomics applications. However, re-solubilization of the total protein precipitate is difficult using regular in-solution digestion protocol. Sodium deoxycholate is reported as an efficient surfactant for re-solubilization of membrane fractions. In this study, we demonstrated an application combining methanol-chloroform based protein precipitations and deoxycholic acid assisted re-solubilization of pellets to evaluate the improvement of protein identifications in mass spectrometry-based bottom-up proteomics. We evaluated the modified method using an equal amount of Raw 264.7 mouse macrophage cell lysate. Detailed in-solution trypsin digestion studies were presented on methanol-chloroform precipitated samples with or without deoxycholic acid treatments and compared with popular sample digestion methods. A mass spectrometric analysis confirmed an 82% increase in protein identification in deoxycholic acid-treated samples compared to other established methods. Furthermore, liquid chromatography-tandem mass spectrometry analysis of an equal amount of proteins from methanol-chloroform precipitated, and methanol-chloroform/deoxycholic acid-treated macrophage cell lysate showed a 14% increase and 27% unique protein identifications. We believe this improved digestion method could be a complementary or alternative method for mammalian cell sample preparations where sodium dodecyl sulfate based lysis buffer is frequently used.

High Confidence Identification of Cross-Linked Peptides by an Enrichment-Based Dual Cleavable Cross-Linking Technology and Data Analysis tool Cleave-XL.

Cleavable cross-linking technology requires further MS/MS of the cleavable fragments for unambiguous identification of cross-linked peptides. These spectra are sometimes very ambiguous due to the sensitivity and complex fragmentation pattern of the peptides with the cross-linked residues. We recently reported a dual cleavable cross-linking technology (DUCCT), which can enhance the confidence in the identification of cross-linked peptides. The heart of this strategy is a novel dual mass spectrometry cleavable cross linker that can be cleaved preferentially by two differential tandem mass spectrometry methods, collision induced dissociation and electron transfer dissociation (CID and ETD). Different signature ions from two different mass spectra for the same cross-linked peptide helped identify the cross-linked peptides with high confidence. In this study, we developed an enrichment-based photocleavable DUCCT (PC-DUCCT-biotin), where cross-linked products were enriched from biological samples using affinity purification, and subsequently, two sequential tandem (CID and ETD) mass spectrometry processes were utilized. Furthermore, we developed a prototype software called Cleave-XL to analyze cross-linked products generated by DUCCT. Photocleavable DUCCT was demonstrated in standard peptides and proteins. Efficiency of the software tools to search and compare CID and ETD data of photocleavable DUCCT biotin in standard peptides and proteins as well as regular DUCCT in protein complexes from immune cells were tested. The software is efficient in pinpointing cross-linked sites using CID and ETD cross-linking data. We believe this new DUCCT and associated software tool Cleave-XL will advance high confidence identification of protein cross-linking sites and automated identification of low-resolution protein structures.

Inflammatory Proteomic Network Analysis of Statin-treated and Lipopolysaccharide-activated Macrophages.

A significant component of immune biology research is the investigation of protein encoding genes that play central roles in contributing inflammatory response. A gel-free quantitative bottom-up proteomics study was performed on immune cell macrophages after the combined treatment of lipopolysaccharide (LPS) and statin drugs using mass spectrometry and a detailed bioinformatics analyses were conducted. Systematic bioinformatics analysis was applied for discovering novel relationships among proteins and effects of statin and lipopolysaccharide in macrophage cells. Based on gene ontology, majority of protein encoding genes was involved in metabolic and cellular processes and are actively associated with binding, structural molecular, and catalytic activity. Notably, proteomic data analyzed by Ingenuity Pathway Analysis (IPA), discovered the plectin and prohibitin 2 protein interactions network and inflammatory-disease based protein networks. Two up-regulated proteins, plectin and prohibitin 2, were further validated by immunoblotting. Plectin was also cross-validated by immunocytochemistry, since its expression was highly modulated by statin but inhibited during LPS-stimulation. Collectively, the significant up-regulation of plectin due to the treatment of statin, suggests that statin has a significant impact on the cytoskeletal networks of cells. Plectin might have a significant role in the intermediate filament assembly and dynamics, and possibly stabilizing and crosslinking intermediate filament networks.

Arginine-Selective Chemical Labeling Approach for Identification and Enrichment of Reactive Arginine Residues in Proteins.

Modification of arginine residues using dicarbonyl compounds is a common method to identify functional or reactive arginine residues in proteins. Arginine undergoes several kinds of posttranslational modifications in these functional residues. Identifying these reactive residues confidently in a protein or large-scale samples is a very challenging task. Several dicarbonyl compounds have been utilized, and the most effective ones are phenylglyoxal and cyclohexanedione. However, tracking these reactive arginine residues in a protein or large-scale protein samples using a chemical labeling approach is very challenging. Thus, the enrichment of modified peptides will provide reduced sample complexity and confident mass-spectrometric data analysis. To pinpoint arginine-labeled peptide efficiently, we developed a novel arginine-selective enrichment reagent. For the first time, we conjugated an azide tag in a widely used dicarbonyl compound cyclohexanedione. This provided us the ability to enrich modified peptides using a bio-orthogonal click chemistry and the biotin-avidin affinity chromatography. We evaluated the reagent in several standard peptides and proteins. Three standard peptides, bradykinin, substance P, and neurotensin, were labeled with this cyclohexanedione-azide reagent. Click labeling of modified peptides was tested by spiking the peptides in a myoglobin protein digest. A protein, RNase A, was also labeled with the reagent, and after click chemistry and biotin-avidin affinity chromatography, we identified two selective arginine residues. We believe this strategy will be an efficient way for identifying functional and reactive arginine residues in a protein or protein mixtures.

Differential Tandem Mass Spectrometry-Based Cross-Linker: A New Approach for High Confidence in Identifying Protein Cross-Linking.

Chemical cross-linking and mass spectrometry are now widely used to analyze large-scale protein-protein interactions. The major challenge in cross-linking approaches is the complexity of the mass spectrometric data. New approaches are required that can identify cross-linked peptides with high-confidence and establish a user-friendly analysis protocol for the biomedical scientific community. Here, we introduce a novel cross-linker that can be selectively cleaved in the gas phase using two differential tandem mass-spectrometric fragmentation methods, such as collision-induced or electron transfer dissociation (CID and ETD). This technique produces two signature mass spectra of the same cross-linked peptide, thereby producing high confidence in identifying the sites of interaction. Further tandem mass spectrometry can also give additional confidence on the peptide sequences. We demonstrate a proof-of-concept for this method using standard peptides and proteins. Peptides and proteins were cross-linked and their fragmentation characteristics were analyzed using CID and ETD tandem mass spectrometry. Two sequential cleavages unambiguously identified cross-linked peptides. In addition, the labeling efficiency of the new cross-linker was evaluated in macrophage immune cells after stimulation with the microbial ligand lipopolysaccharide and subsequent pulldown experiments with biotin-avidin affinity chromatography. We believe this strategy will help advance insights into the structural biology and systems biology of cell signaling.