SPLUNC1 as a biomarker of pulmonary exacerbations in children with cystic fibrosis.

BACKGROUND: Short palate, lung, and nasal epithelium clone 1 (SPLUNC1) is an innate defence protein that acts as an anti-microbial agent and regulates airway surface liquid volume through inhibition of the epithelial sodium channel (ENaC). SPLUNC1 levels were found to be reduced in airway secretions of adults with cystic fibrosis (CF). The potential of SPLUNC1 as a biomarker in children with CF is unknown. METHODS: We quantified SPLUNC1, interleukin-8 (IL-8) and neutrophil elastase (NE) in sputum of CF children treated with either intravenous antibiotics or oral antibiotics for a pulmonary exacerbation (PEx)s, and in participants of a prospective cohort of CF children with preserved lung function on spirometry, followed over a period of two years. RESULTS: Sputum SPLUNC1 levels were significantly lower before compared to after intravenous and oral antibiotic therapy for PEx. In the longitudinal cohort, SPLUNC1 levels were found to be decreased at PEx visits compared to both previous and subsequent stable visits. Higher SPLUNC1 levels at stable visits were associated with longer PEx-free time (hazard ratio 0.85, p = 0.04). SPLUNC1 at PEx visits did not correlate with IL-8 or NE levels in sputum or forced expiratory volume in one second (FEV1) but did correlate with the lung clearance index (LCI) (r=-0.53, p < 0.001). CONCLUSION: SPLUNC1 demonstrates promising clinometric properties as a biomarker of PEx in children with CF.

Targeted Phosphoproteomics of Human Saliva Extracellular Vesicles via Multiple Reaction Monitoring Cubed (MRM3).

Oral squamous cell carcinoma (OSCC) has become a global health problem due to its increasing incidence and high mortality rate. Early intervention through monitoring of the diagnostic biomarker levels during OSCC treatment is critical. Extracellular vesicles (EVs) are emerging surrogates in intercellular communication through transporting biomolecule cargo and have recently been identified as a potential source of biomarkers such as phosphoproteins for many diseases. Here, we developed a multiple reaction monitoring cubed (MRM3) method coupled with a novel sample preparation strategy, extracellular vesicles to phosphoproteins (EVTOP), to quantify phosphoproteins using a minimal amount of saliva (50 µL) samples from OSCC patients with high specificity and sensitivity. Our results established differential patterns in the phosphopeptide content of healthy, presurgery, and postsurgery OSCC patient groups. Notably, we discovered significantly increased salivary phosphorylated alpha-amylase (AMY) in the postsurgery group compared to the presurgery group. We hereby present the first targeted MS method with extremely high sensitivity for measuring endogenous phosphoproteins in human saliva EVs.

CTRP6 promotes the macrophage inflammatory response, and its deficiency attenuates LPS-induced inflammation.

Macrophages play critical roles in inflammation and tissue homeostasis, and their functions are regulated by various autocrine, paracrine, and endocrine factors. We have previously shown that CTRP6, a secreted protein of the C1q family, targets both adipocytes and macrophages to promote obesity-linked inflammation. However, the gene programs and signaling pathways directly regulated by CTRP6 in macrophages remain unknown. Here, we combine transcriptomic and phosphoproteomic analyses to show that CTRP6 activates inflammatory gene programs and signaling pathways in mouse bone marrow-derived macrophages (BMDMs). Treatment of BMDMs with CTRP6 upregulated proinflammatory, and suppressed the antiinflammatory, gene expression. We also showed that CTRP6 activates p44/42-MAPK, p38-MAPK, and NF-κB signaling pathways to promote inflammatory cytokine secretion from BMDMs, and that pharmacologic inhibition of these signaling pathways markedly attenuated the effects of CTRP6. Pretreatment of BMDMs with CTRP6 also sensitized and potentiated the BMDMs response to lipopolysaccharide (LPS)-induced inflammatory signaling and cytokine secretion. Consistent with the metabolic phenotype of proinflammatory macrophages, CTRP6 treatment induced a shift toward aerobic glycolysis and lactate production, reduced oxidative metabolism, and elevated mitochondrial reactive oxygen species production in BMDMs. Importantly, in accordance with our in vitro findings, BMDMs from CTRP6-deficient mice were less inflammatory at baseline and showed a marked suppression of LPS-induced inflammatory gene expression and cytokine secretion. Finally, loss of CTRP6 in mice also dampened LPS-induced inflammation and hypothermia. Collectively, our findings suggest that CTRP6 regulates and primes the macrophage response to inflammatory stimuli and thus may have a role in modulating tissue inflammatory tone in different physiological and disease contexts.

Translational proteomics and phosphoproteomics: Tissue to extracellular vesicles.

We are currently experiencing a rapidly developing era in terms of translational and clinical medical sciences. The relatively mature state of nucleic acid examination has significantly improved our understanding of disease mechanism and therapeutic potential of personalized treatment, but misses a large portion of phenotypic disease information. Proteins, in particular phosphorylation events that regulates many cellular functions, could provide real-time information for disease onset, progression and treatment efficacy. The technical advances in liquid chromatography and mass spectrometry have realized large-scale and unbiased proteome and phosphoproteome analyses with disease relevant samples such as tissues. However, tissue biopsy still has multiple shortcomings, such as invasiveness of sample collection, potential health risk for patients, difficulty in protein preservation and extreme heterogeneity. Recently, extracellular vesicles (EVs) have offered a great promise as a unique source of protein biomarkers for non-invasive liquid biopsy. Membranous EVs provide stable preservation of internal proteins and especially labile phosphoproteins, which is essential for effective routine biomarker detection. To aid efficient EV proteomic and phosphoproteomic analyses, recent developments showcase clinically-friendly EV techniques, facilitating diagnostic and therapeutic applications. Ultimately, we envision that with streamlined sample preparation from tissues and EVs proteomics and phosphoproteomics analysis will become routine in clinical settings.

Phosphorylated Proteins from Serum: A Promising Potential Diagnostic Biomarker of Cancer.

Cancer is a fatal disease worldwide. Each year ten million people are diagnosed around the world, and more than half of patients eventually die from it in many countries. A majority of cancer remains asymptomatic in the earlier stages, with specific symptoms appearing in the advanced stages when the chances of adequate treatment are low. Cancer screening is generally executed by different imaging techniques like ultrasonography (USG), mammography, CT-scan, and magnetic resonance imaging (MRI). Imaging techniques, however, fail to distinguish between cancerous and non-cancerous cells for early diagnosis. To confirm the imaging result, solid and liquid biopsies are done which have certain limitations such as invasive (in case of solid biopsy) or missed early diagnosis due to extremely low concentrations of circulating tumor DNA (in case of liquid biopsy). Therefore, it is essential to detect certain biomarkers by a noninvasive approach. One approach is a proteomic or glycoproteomic study which mostly identifies proteins and glycoproteins present in tissues and serum. Some of these studies are approved by the Food and Drug Administration (FDA). Another non-expensive and comparatively easier method to detect glycoprotein biomarkers is by ELISA, which uses lectins of diverse specificities. Several of the FDA approved proteins used as cancer biomarkers do not show optimal sensitivities for precise diagnosis of the diseases. In this regard, expression of phosphoproteins is associated with a more specific stage of a particular disease with high sensitivity and specificity. In this review, we discuss the expression of different serum phosphoproteins in various cancers. These phosphoproteins are detected either by phosphoprotein enrichment by immunoprecipitation using phosphospecific antibody and metal oxide affinity chromatography followed by LC-MS/MS or by 2D gel electrophoresis followed by MALDI-ToF/MS analysis. The updated knowledge on phosphorylated proteins in clinical samples from various cancer patients would help to develop these serum phophoproteins as potential diagnostic/prognostic biomarkers of cancer.

Quantitative phosphoproteome analysis of Streptomyces coelicolor by immobilized zirconium (IV) affinity chromatography and mass spectrometry reveals novel regulated protein phosphorylation sites and sequence motifs.

Streptomycetes are multicellular gram-positive bacteria that produce many bioactive compounds, including antibiotics, antitumorals and immunosuppressors. The Streptomyces phosphoproteome remains largely uncharted even though protein phosphorylation at Ser/Thr/Tyr is known to modulate morphological differentiation and specialized metabolic processes. We here expand the S. coelicolor phosphoproteome by optimised immobilized zirconium (IV) affinity chromatography and mass spectrometry to identify phosphoproteins at the vegetative and sporulating stages. We mapped 361 phosphorylation sites (41% pSer, 56.2% pThr, 2.8% pTyr) and discovered four novel Thr phosphorylation motifs ("Kxxxx(pT)xxxxK", "DxE(pT)", "D(pT)" and "Exxxxx(pT)") in 351 phosphopeptides derived from 187 phosphoproteins. We identified 154 novel phosphoproteins, thereby almost doubling the number of experimentally verified Streptomyces phosphoproteins. Novel phosphoproteins included cell division proteins (FtsK, CrgA) and specialized metabolism regulators (ArgR, AfsR, CutR and HrcA) that were differentially phosphorylated in the vegetative and in the antibiotic producing sporulating stages. Phosphoproteins involved in primary metabolism included 27 novel ribosomal proteins that were phosphorylated during the vegetative stage. Phosphorylation of these proteins likely participate in the intricate and incompletely understood regulation of Streptomyces development and secondary metabolism. We conclude that Zr(IV)-IMAC is an efficient and sensitive method to study protein phosphorylation and regulation in bacteria and enhance our understanding of bacterial signalling. SIGNIFICANCE: Two thirds of the secondary metabolites used in clinic, especially antibiotics, were discovered in Streptomyces strains. Antibiotic resistance became one of the major challenges in clinic, and new antibiotics are urgently required in clinic. Next-generation sequencing analyses revealed that streptomycetes harbour many cryptic secondary metabolite pathways, i.e. pathways not expressed in the laboratory. Secondary metabolism is tightly connected with hypha differentiation and sporulation, and understanding Streptomyces differentiation is one of the main challenges in industrial microbiology, in order to activate the expression of cryptic pathways in the laboratory. Protein phosphorylation at Ser/Thr/Tyr modulates development and secondary metabolism, but the Streptomyces phosphoproteome is still largely uncharted. Previous S. coelicolor phosphoproteomic studies used TiO2 affinity enrichment and LC-MS/MS identifying a total of 184 Streptomyces phosphoproteins. Here, we used by first time zirconium (IV) affinity chromatography and mass spectrometry, identifying 186 S. coelicolor phosphoproteins. Most of these phosphoproteins (154) were not identified in previous phosphoproteomic studies using TiO2 affinity enrichment. Thereby we almost doubling the number of experimentally verified Streptomyces phosphoproteins. Zr(IV)-IMAC affinity chromatography also worked in E. coli, allowing the identification of phosphoproteins that were not identified by TiO2 affinity chromatography. We conclude that Zr(IV)-IMAC is an efficient and sensitive method for studies of protein phosphorylation and regulation in bacteria to enhance our understanding of bacterial signalling networks. Moreover, the new Streptomyces phosphoproteins identified will contribute to design further works to understand and modulate Streptomyces secondary metabolism activation.

Phosphorylation analysis of the Hippo-YAP pathway using Phos-tag.

Phosphorylation is an essential regulatory mechanism in cells that modifies diverse substrates, such as proteins, carbohydrates, lipids, and nucleotides. Protein phosphorylation regulates function, subcellular localization, and protein-protein interactions. Protein kinases and phosphatases catalyze this reversible mechanism, subsequently influencing signal transduction. The dysregulation of protein phosphorylation leads to many diseases, such as cancer, neurodegenerative diseases, and metabolic diseases. Therefore, analyzing the phosphorylation status and identifying protein phosphorylation sites are critical for elucidating the biological functions of specific phosphorylation events. Unraveling the critical phosphorylation events associated with diseases and specific signaling pathways is promising for drug discovery. To date, highly accurate and sensitive approaches have been developed to detect the phosphorylation status of proteins. In this review, we discuss the application of Phos-tag to elucidate the biological functions of Hippo pathway components, with emphasis on the identification and quantitation of protein phosphorylation under physiological and pathological conditions. SIGNIFICANCE: We here provide a comprehensive overview of Phos-tag technique-based strategies to identify phosphorylated proteins at the cellular level in the Hippo-YAP pathway that comprises a major driving force for cellular homeostasis. We clarify the links of applying Phos-tag in elucidating the biological functions of the Hippo pathway components with particular attention to the identification and quantitation of protein phosphorylation under physiological and pathological conditions. We believe that our paper will make a significant contribution to the literature because these detailed phosphorylation modifications and functional diversity of the Hippo pathway components in physiological and pathological processes are only beginning to come to the fore, highlighting the potential for discovering new therapeutic targets. Moreover, this line of research can provide further insight into the inextricable link between phos-tag applications as a molecular tool and cellular signaling modality, offering new directions for an integrated research program toward understanding cellular regulation at the molecular level. Given the broad research and practical applications, we believe that this paper will be of interest to the readership of your journal.

Identification and validation of new ERK substrates by phosphoproteomic technologies including Phos-tag SDS-PAGE.

The extracellular signal-regulated kinase (ERK), a member of the mitogen-activated protein (MAP) kinase family, governs various cellular processes by phosphorylating a large set of substrates. Although many studies have expanded the number of ERK substrates, it is likely that additional substrates remain to be discovered. Here we have employed a quantitative phosphoproteomic approach to explore novel ERK substrates in NIH3T3 fibroblasts stably expressing a fusion protein between B-Raf and estrogen receptor. Among ERK-dependent phosphorylation targets, we focused on NGFI-A-binding protein 2 (Nab2), forkhead box protein K1 (Foxk1), and Disks large-associated protein 5 (Dlgap5/HURP). Phos-tag SDS-PAGE followed by Western blotting confirmed ERK-dependent phosphorylation of these three proteins in cells. Phos-tag SDS-PAGE of in vitro kinase assay samples revealed high degrees of phosphorylation of these proteins by active ERK. Furthermore, in-gel digestion of the phosphorylated protein bands from Phos-tag SDS-PAGE followed by LC-MS/MS indicated that active ERK directly phosphorylates the same sites in vitro as those observed in cells. This study demonstrates the usefulness of Phos-tag SDS-PAGE for validation of candidate substrates of protein kinases. SIGNIFICANCE: Label-free quantitative phosphoproteomics identified 1439 phosphopeptides derived from 840 proteins that were significantly increased by ERK activation in mouse fibroblasts. Through gene ontology and pathway analysis, we selected three proteins involved in transcriptional regulation and/or tumorigenesis. The identified phosphorylation sites of these proteins conform to the ERK consensus motif and were directly phosphorylated by active ERK in vitro. Phos-tag SDS-PAGE was useful for detecting ERK-mediated phosphorylation of these substrates both in cells and in vitro. Further characterization of these new ERK substrates will be needed to better understand the ERK signaling pathway, and our phosphoproteomic data provide useful information for studying downstream substrates of ERK.

Analysis of protein kinases by Phos-tag SDS-PAGE.

Protein kinases regulate almost all biological processes including cell proliferation, differentiation, apoptosis, and gene expression. Dysregulation of protein phosphorylation caused by abnormal activity and expression of protein kinases results in the onset of various diseases such as cancer and metabolic syndromes. The activities of a large number of protein kinases are regulated by phosphorylation. Therefore, analysis of the phosphorylation status of protein kinases is important for elucidation of biological phenomena and the pathogenesis of diseases. To investigate protein phosphorylation, phosphate-binding tag molecule "Phos-tag" was developed. In addition, various techniques and tools using Phos-tag such as Phos-tag SDS-PAGE, have been developed for analysis and profiling of protein phosphorylation. Here, we describe the methods and analytical techniques that use Phos-tag for investigation of protein kinase phosphorylation and the applications of phosphorylation analysis. SIGNIFICANCE: Protein kinases play pivotal roles in regulating many biological processes and pathogenesis of diseases. Determination of phosphorylation status of protein kinases can provide the essential information for their activation. This review provides analytical techniques for analysis of phosphorylation status of protein kinases by Phos-tag SDS-PAGE. We believe that this review would help readers to study in kinomics research.

Immunogenic senescence sensitizes lung cancer to LUNX-targeting therapy.

The higher immunogenicity of tumors usually predicts favorable therapeutic responses. Tumor antigens dominate the immunogenic character within tumors. We investigated if there was a targetable tumor antigen during immunogenic chemotherapy within lung cancer. Chemotherapy-induced immunogenic senescence was demonstrated using a multi-marker, three-step workflow, and RNA-sequencing data. The ability of anti-lung-specific X protein (LUNX) antibody to suppress the survival of senescent lung cancer cells was evaluated in vitro and in vivo using real-time cytotoxicity analysis and xenograft mouse models, respectively. The induction of cellular senescence by immunogenic chemotherapy boosted cell-surface shuttling of LUNX and enhanced the immunogenic features of senescent tumor cells, which sensitized lung cancer cells to anti-LUNX antibody-mediated therapy and contributed to tumor suppression. The immunogenic senescence-mediated anti-tumor response was triggered by the direct action of antibody on tumor cells, strengthened by natural-killer cells through an antibody-dependent cell-mediated cytotoxicity response, and ultimately, led to tumor control. Our findings suggest that LUNX is a lung cancer targetable-immunogenic antigen. The proportion of lung cancers responding to LUNX-targeting therapy could be expanded substantially by immunogenic chemotherapy that induces senescence-associated translocation of LUNX to the plasma membrane.

Growth Hormone-induced STAT5B Regulates Star Gene Expression Through a Cooperation With cJUN in Mouse MA-10 Leydig Cells.

Leydig cells produce androgens that are essential for male sex differentiation and reproductive function. Leydig cell function is regulated by several hormones and signaling molecules, including growth hormone (GH). Although GH is known to upregulate Star gene expression in Leydig cells, its molecular mechanism of action remains unknown. The STAT5B transcription factor is a downstream effector of GH signaling in other systems. While STAT5B is present in both primary and Leydig cell lines, its function in these cells has yet to be ascertained. Here we report that treatment of MA-10 Leydig cells with GH or overexpression of STAT5B induces Star messenger RNA levels and increases steroid hormone output. The mouse Star promoter contains a consensus STAT5B element (TTCnnnGAA) at -756 bp to which STAT5B binds in vitro (electrophoretic mobility shift assay and supershift) and in vivo (chromatin immunoprecipitation) in a GH-induced manner. In functional promoter assays, STAT5B was found to activate a -980 bp mouse Star reporter. Mutating the -756 bp element prevented STAT5B binding but did not abrogate STAT5B-responsiveness. STAT5B was found to functionally cooperate with DNA-bound cJUN. The STAT5B/cJUN cooperation was only observed in Leydig cells and not in Sertoli or fibroblast cells, indicating that additional Leydig cell-enriched transcription factors are required. The STAT5B/cJUN cooperation was lost only when both STAT5B and cJUN elements were mutated. In addition to identifying the Star gene as a novel target for STAT5B in Leydig cells, our data provide important new insights into the mechanism of GH and STAT5B action in the regulation of Leydig cell function.

DeepPhospho accelerates DIA phosphoproteome profiling through in silico library generation.

Phosphoproteomics integrating data-independent acquisition (DIA) enables deep phosphoproteome profiling with improved quantification reproducibility and accuracy compared to data-dependent acquisition (DDA)-based phosphoproteomics. DIA data mining heavily relies on a spectral library that in most cases is built on DDA analysis of the same sample. Construction of this project-specific DDA library impairs the analytical throughput, limits the proteome coverage, and increases the sample size for DIA phosphoproteomics. Herein we introduce a deep neural network, DeepPhospho, which conceptually differs from previous deep learning models to achieve accurate predictions of LC-MS/MS data for phosphopeptides. By leveraging in silico libraries generated by DeepPhospho, we establish a DIA workflow for phosphoproteome profiling which involves DIA data acquisition and data mining with DeepPhospho predicted libraries, thus circumventing the need of DDA library construction. Our DeepPhospho-empowered workflow substantially expands the phosphoproteome coverage while maintaining high quantification performance, which leads to the discovery of more signaling pathways and regulated kinases in an EGF signaling study than the DDA library-based approach. DeepPhospho is provided as a web server as well as an offline app to facilitate user access to model training, predictions and library generation.

Quantifying SARS-CoV-2 nucleocapsid antigen in oropharyngeal swabs using single molecule array technology.

This study aimed to develop a highly sensitive SARS-CoV-2 nucleocapsid antigen assay using the single molecule array (Simoa) technology and compare it with real time RT-PCR as used in routine clinical practice with the ambition to achieve a comparative technical and clinical sensitivity. Samples were available from 148 SARS-CoV-2 real time RT-PCR positive and 73 SARS-CoV-2 real time RT-PCR negative oropharyngeal swabs. For determination of technical sensitivity SARS-CoV-2 virus culture material was used. The samples were treated with lysis buffer and analyzed using both an in-house and a pre-commercial SARS-CoV-2 nucleocapsid antigen assay on Simoa. Both nucleocapsid antigen assays have a technical sensitivity corresponding to around 100 SARS-CoV-2 RNA molecules/mL. Using a cut-off at 0.1 pg/mL the pre-commercial SARS-CoV-2 nucleocapsid antigen assay had a sensitivity of 96% (95% CI 91.4-98.5%) and specificity of 100% (95% CI 95.1-100%). In comparison the in-house nucleocapsid antigen assay had sensitivity of 95% (95% CI 89.3-98.1%) and a specificity of 100% (95% CI 95.1-100%) using a cut-off at 0.01 pg/mL. The two SARS-CoV-2 nucleocapsid antigen assays correlated with r = 0.91 (P < 0.0001). The in-house and the pre-commercial SARS-CoV-2 nucleocapsid antigen assay demonstrated technical and clinical sensitivity comparable to real-time RT-PCR methods for identifying SARS-CoV-2 infected patients and thus can be used clinically as well as serve as a reference method for antigen Point of Care Testing.

Computational Analysis of Cholangiocarcinoma Phosphoproteomes Identifies Patient-Specific Drug Targets.

Cholangiocarcinoma is a form of hepatobiliary cancer with an abysmal prognosis. Despite advances in our understanding of cholangiocarcinoma pathophysiology and its genomic landscape, targeted therapies have not yet made a significant impact on its clinical management. The low response rates of targeted therapies in cholangiocarcinoma suggest that patient heterogeneity contributes to poor clinical outcome. Here we used mass spectrometry-based phosphoproteomics and computational methods to identify patient-specific drug targets in patient tumors and cholangiocarcinoma-derived cell lines. We analyzed 13 primary tumors of patients with cholangiocarcinoma with matched nonmalignant tissue and 7 different cholangiocarcinoma cell lines, leading to the identification and quantification of more than 13,000 phosphorylation sites. The phosphoproteomes of cholangiocarcinoma cell lines and patient tumors were significantly correlated. MEK1, KIT, ERK1/2, and several cyclin-dependent kinases were among the protein kinases most frequently showing increased activity in cholangiocarcinoma relative to nonmalignant tissue. Application of the Drug Ranking Using Machine Learning (DRUML) algorithm selected inhibitors of histone deacetylase (HDAC; belinostat and CAY10603) and PI3K pathway members as high-ranking therapies to use in primary cholangiocarcinoma. The accuracy of the computational drug rankings based on predicted responses was confirmed in cell-line models of cholangiocarcinoma. Together, this study uncovers frequently activated biochemical pathways in cholangiocarcinoma and provides a proof of concept for the application of computational methodology to rank drugs based on efficacy in individual patients. SIGNIFICANCE: Phosphoproteomic and computational analyses identify patient-specific drug targets in cholangiocarcinoma, supporting the potential of a machine learning method to predict personalized therapies.

Proteomic Signature of Host Response to SARS-CoV-2 Infection in the Nasopharynx.

Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, has become a global health pandemic. COVID-19 severity ranges from an asymptomatic infection to a severe multiorgan disease. Although the inflammatory response has been implicated in the pathogenesis of COVID-19, the exact nature of dysregulation in signaling pathways has not yet been elucidated, underscoring the need for further molecular characterization of SARS-CoV-2 infection in humans. Here, we characterize the host response directly at the point of viral entry through analysis of nasopharyngeal swabs. Multiplexed high-resolution MS-based proteomic analysis of confirmed COVID-19 cases and negative controls identified 7582 proteins and revealed significant upregulation of interferon-mediated antiviral signaling in addition to multiple other proteins that are not encoded by interferon-stimulated genes or well characterized during viral infections. Downregulation of several proteasomal subunits, E3 ubiquitin ligases, and components of protein synthesis machinery was significant upon SARS-CoV-2 infection. Targeted proteomics to measure abundance levels of MX1, ISG15, STAT1, RIG-I, and CXCL10 detected proteomic signatures of interferon-mediated antiviral signaling that differentiated COVID-19-positive from COVID-19-negative cases. Phosphoproteomic analysis revealed increased phosphorylation of several proteins with known antiviral properties as well as several proteins involved in ciliary function (CEP131 and CFAP57) that have not previously been implicated in the context of coronavirus infections. In addition, decreased phosphorylation levels of AKT and PKC, which have been shown to play varying roles in different viral infections, were observed in infected individuals relative to controls. These data provide novel insights that add depth to our understanding of SARS-CoV-2 infection in the upper airway and establish a proteomic signature for this viral infection.

Application of SILAC Labeling in Phosphoproteomics Analysis.

The analysis of disease-related changes in the phosphorylation status of cellular signal transduction networks is of major interest to biomedical researchers. Mass spectrometry-based proteomics allows the analysis of phosphorylation in a global manner. However, several technical challenges need to be addressed when the phosphorylation of proteins is analyzed. Low-abundant phosphopeptides need to be enriched before analysis, thereby introducing additional steps in sample preparation. Consequently, the applied quantification strategies should be robust towards elaborate sampling handling, rendering label-based quantification strategies the methods of choice in many experiments. Here, we present a protocol for SILAC labeling and the subsequent isolation of phosphopeptides using TiO2 affinity chromatography. We outline the corresponding LC-MS/MS analysis and the essential steps of data processing.

Feasibility of Phosphoproteomics on Leftover Samples After RNA Extraction With Guanidinium Thiocyanate.

In daily practice, different types of biomolecules are usually extracted for large-scale "omics" analysis with tailored protocols. However, when sample material is limited, an all-in-one strategy is preferable. Although lysis of cells and tissues with urea is widely used for phosphoproteomic applications, DNA, RNA, and proteins can be simultaneously extracted from small samples using acid guanidinium thiocyanate-phenol-chloroform (AGPC). Use of AGPC for mass spectrometry-based phosphoproteomics was reported but has not yet been thoroughly evaluated against a classical phosphoproteomic protocol. Here we compared urea- with AGPC-based protein extraction, profiling phosphorylations in the DNA damage response pathway after ionizing irradiation of U2OS cells as proof of principle. On average we identified circa 9000 phosphosites per sample with both extraction methods. Moreover, we observed high similarity of phosphosite characteristics (e.g., 94% shared class 1 identifications) and deduced kinase activities (e.g., ATM, ATR, CHEK1/2, PRKDC). We furthermore extended our comparison to murine and human tissue samples yielding similar and highly correlated results for both extraction protocols. AGPC-based sample extraction can thus replace common cell lysates for phosphoproteomic workflows and may thus be an attractive way to obtain input material for multiple omics workflows, yielding several data types from a single sample.

Aptamer-based approaches to detect nucleolin in prostate cancer.

We have investigated the expression of nucleolin (NCL) in liquid biopsies of prostate cancer (PCa) patients and healthy controls to determine its correlation with tumor prognosis. To detect NCL we used a modified AS1411 aptamer designated by AS1411-N5. In presence of NCL, AS1411-N5 increases the fluorescence by assuming a G-quadruplex (G4) structure, while in the absence of NCL the fluorescence signal remains quenched. The structural characterization of AS1411-N5 was performed by biophysical studies, which demonstrated the formation of G4 parallel conformation in the presence of 100 mM K+ and the ability to recognize NCL with high affinity (KD = 138.1 ±â€¯5.5 nM). Furthermore, the clinical relevance of NCL in PCa liquid biopsies was assessed by using an NCL-based ELISA assay. The protein was measured in the peripheral blood mononuclear cells (PBMCs) cell lysate of 158 individuals, including PCa patients and healthy individuals. The results depicted a remarkable increase of NCL levels in the PBMC's lysate of PCa patients (mean of 626.1 pg/mL whole blood) when compared to healthy individuals (mean of 198.5 pg/mL whole blood). The ELISA results also provided evidence for the usefulness of determining NCL levels in advanced PCa stages. Furthermore, a microfluidic assay showed the ability of AS1411-N5 in recognizing NCL in spiked human plasma samples.

The abscopal effect of radiation therapy.

Radiation therapy (RT) in some cases results in a systemic anticancer response known as the abscopal effect. Multiple hypotheses support the role of immune activation initiated by RT-induced DNA damage. Optimal radiation dose is necessary to promote the cGAS-STING pathway in response to radiation and initiate an IFN-1 signaling cascade that promotes the maturation and migration of dendritic cells to facilitate antigen presentation and stimulation of cytotoxic T cells. T cells then exert a targeted response throughout the body at areas not subjected to RT. These effects are further augmented through the use of immunotherapeutic drugs resulting in increased T-cell activity. Tumor-infiltrating lymphocyte presence and TREX1, KPNA2 and p53 signal expression are being explored as prognostic biomarkers.