Restraining of glycoprotein VI- and integrin α2ß1-dependent thrombus formation by platelet PECAM1.

The platelet receptors, glycoprotein VI (GPVI) and integrin α2ß1 jointly control collagen-dependent thrombus formation via protein tyrosine kinases. It is unresolved to which extent the ITIM (immunoreceptor tyrosine-based inhibitory motif) receptor PECAM1 and its downstream acting protein tyrosine phosphatase PTPN11 interfere in this process. Here, we hypothesized that integrin α2ß1 has a co-regulatory role in the PECAM1- and PTPN11-dependent restraint of thrombus formation. We investigated platelet activation under flow on collagens with a different GPVI dependency and using integrin α2ß1 blockage. Blood was obtained from healthy subjects and from patients with Noonan syndrome with a gain-of-function mutation of PTPN11 and variable bleeding phenotype. On collagens with decreasing GPVI activity (types I, III, IV), the surface-dependent inhibition of PECAM1 did not alter thrombus parameters using control blood. Blockage of α2ß1 generally reduced thrombus parameters, most effectively on collagen IV. Strikingly, simultaneous inhibition of PECAM1 and α2ß1 led to a restoration of thrombus formation, indicating that the suppressing signaling effect of PECAM1 is masked by the platelet-adhesive receptor α2ß1. Blood from 4 out of 6 Noonan patients showed subnormal thrombus formation on collagen IV. In these patients, effects of α2ß1 blockage were counterbalanced by PECAM1 inhibition to a normal phenotype. In summary, we conclude that the suppression of GPVI-dependent thrombus formation by either PECAM1 or a gain-of-function of PTPN11 can be overruled by α2ß1 engagement.

Dopamine modification of glycolytic enzymes impairs glycolysis: possible implications for Parkinson's disease.

BACKGROUND: Parkinson's disease (PD), a chronic and severe neurodegenerative disease, is pathologically characterized by the selective loss of nigrostriatal dopaminergic neurons. Dopamine (DA), the neurotransmitter produced by dopaminergic neurons, and its metabolites can covalently modify proteins, and dysregulation of this process has been implicated in neuronal loss in PD. However, much remains unknown about the protein targets. METHODS: In the present work, we designed and synthesized a dopamine probe (DA-P) to screen and identify the potential protein targets of DA using activity-based protein profiling (ABPP) technology in combination with liquid chromatography-tandem mass spectrometry (LC-MS/MS). In situ pull-down assays, cellular thermal shift assays (CETSAs) and immunofluorescence were performed to confirm the DA modifications on these hits. To investigate the effects of DA modifications, we measured the enzymatic activities of these target proteins, evaluated glycolytic stress and mitochondrial respiration by Seahorse tests, and systematically analyzed the changes in metabolites with unbiased LC-MS/MS-based non-targeted metabolomics profiling. RESULTS: We successfully identified three glycolytic proteins, aldolase A, α-enolase and pyruvate kinase M2 (PKM2), as the binding partners of DA. DA bound to Glu166 of α-enolase, Cys49 and Cys424 of PKM2, and Lys230 of aldolase A, inhibiting the enzymatic activities of α-enolase and PKM2 and thereby impairing ATP synthesis, resulting in mitochondrial dysfunction. CONCLUSIONS: Recent research has revealed that enhancing glycolysis can offer protection against PD. The present study identified that the glycolytic pathway is vulnerable to disruption by DA, suggesting a promising avenue for potential therapeutic interventions. Safeguarding glycolysis against DA-related disruption could be a potential therapeutic intervention for PD.

Deep learning enables the discovery of a novel cuproptosis-inducing molecule for the inhibition of hepatocellular carcinoma.

Hepatocellular carcinoma (HCC) is one of the most common and deadly cancers in the world. The therapeutic outlook for HCC patients has significantly improved with the advent and development of systematic and targeted therapies such as sorafenib and lenvatinib; however, the rise of drug resistance and the high mortality rate necessitate the continuous discovery of effective targeting agents. To discover novel anti-HCC compounds, we first constructed a deep learning-based chemical representation model to screen more than 6 million compounds in the ZINC15 drug-like library. We successfully identified LGOd1 as a novel anticancer agent with a characteristic levoglucosenone (LGO) scaffold. The mechanistic studies revealed that LGOd1 treatment leads to HCC cell death by interfering with cellular copper homeostasis, which is similar to a recently reported copper-dependent cell death named cuproptosis. While the prototypical cuproptosis is brought on by copper ionophore-induced copper overload, mechanistic studies indicated that LGOd1 does not act as a copper ionophore, but most likely by interacting with the copper chaperone protein CCS, thus LGOd1 represents a potentially new class of compounds with unique cuproptosis-inducing property. In summary, our findings highlight the critical role of bioavailable copper in the regulation of cell death and represent a novel route of cuproptosis induction.

The development of a novel zeolite-based assay for efficient and deep plasma proteomic profiling.

Plasma proteins are considered the most informative source of biomarkers for disease diagnosis and monitoring. Mass spectrometry (MS)-based proteomics has been applied to identify biomarkers in plasma, but the complexity of the plasma proteome and the extremely large dynamic range of protein abundances in plasma make the clinical application of plasma proteomics highly challenging. We designed and synthesized zeolite-based nanoparticles to deplete high-abundance plasma proteins. The resulting novel plasma proteomic assay can measure approximately 3000 plasma proteins in a 45 min chromatographic gradient. Compared to those in neat and depleted plasma, the plasma proteins identified by our assay exhibited distinct biological profiles, as validated in several public datasets. A pilot investigation of the proteomic profile of a hepatocellular carcinoma (HCC) cohort identified 15 promising protein features, highlighting the diagnostic value of the plasma proteome in distinguishing individuals with and without HCC. Furthermore, this assay can be easily integrated with all current downstream protein profiling methods and potentially extended to other biofluids. In conclusion, we established a robust and efficient plasma proteomic assay with unprecedented identification depth, paving the way for the translation of plasma proteomics into clinical applications.

Deep Profiling of the Proteome Dynamics of Pseudomonas aeruginosa Reference Strain PAO1 under Different Growth Conditions.

As one of the most common bacterial pathogens causing nosocomial infections, Pseudomonas aeruginosa is highly adaptable to survive under various conditions. Here, we profiled the abundance dynamics of 3489 proteins across different growth stages in the P. aeruginosa reference strain PAO1 using data-independent acquisition-based quantitative proteomics. The proteins differentially expressed during the planktonic growth exhibit several distinct patterns of expression profiles and are relevant to various biological processes, highlighting the continuous adaptation of the PAO1 proteome during the transition from the acceleration phase to the stationary phase. By contrasting the protein expressions in a biofilm to planktonic cells, the known roles of T6SS, phenazine biosynthesis, quorum sensing, and c-di-GMP signaling in the biofilm formation process were confirmed. Additionally, we also discovered several new functional proteins that may play roles in the biofilm formation process. Lastly, we demonstrated the general concordance of protein expressions within operons across various growth states, which permits the study of coexpression protein units, and reversely, the study of regulatory components in the operon structure. Taken together, we present a high-quality and valuable resource on the proteomic dynamics of the P. aeruginosa reference strain PAO1, with the potential of advancing our understanding of the overall physiology of Pseudomonas bacteria.

Combining human platelet proteomes and transcriptomes: possibilities and challenges.

The anucleate human platelets contain a broad pattern of mRNAs and other RNA transcripts. The high quantitative similarity of mRNAs in megakaryocytes and platelets from different sources points to a common origin, and suggests a random redistribution of mRNA species upon proplatelet formation. A comparison of the classified platelet transcriptome (17.6k transcripts) with the identified platelet proteome (5.2k proteins) indicates an under-representation of: (i) nuclear but not of other organellar proteins; (ii) membrane receptors and channels with low transcript levels; (iii) transcription/translation proteins; and (iv) so far uncharacterized proteins. In this review, we discuss the technical, normalization and database-dependent possibilities and challenges to come to a complete, genome-wide platelet transcriptome and proteome. Such a reference transcriptome and proteome can serve to further elucidate intra-subject and inter-subject differences in platelets in health and disease. Applications may also lay in the aid of genetic diagnostics.

Blood platelets contain thousands types of mRNAs and proteins. The mRNA composition is similar to the mRNAs of megakaryocytes, from which platelets are derived, suggesting a random redistribution upon platelet formation. First attempts to identify all classified platelet proteins from mass spectral analysis used the genome-wide information of all mRNA types. This analysis revealed that the so far absent proteins in platelets are especially located in the megakaryocyte nucleus, or have low mRNA levels or low copy numbers. In this review, we discuss the possibilities to come to subject-dependent identification of the platelet protein and mRNA composition. Future applications may aid the genetic diagnostics.

Discovery of SNP Molecular Markers and Candidate Genes Associated with Sacbrood Virus Resistance in Apis cerana cerana Larvae by Whole-Genome Resequencing.

Sacbrood virus (SBV) is a significant problem that impedes brood development in both eastern and western honeybees. Whole-genome sequencing has become an important tool in researching population genetic variations. Numerous studies have been conducted using multiple techniques to suppress SBV infection in honeybees, but the genetic markers and molecular mechanisms underlying SBV resistance have not been identified. To explore single nucleotide polymorphisms (SNPs), insertions, deletions (Indels), and genes at the DNA level related to SBV resistance, we conducted whole-genome resequencing on 90 Apis cerana cerana larvae raised in vitro and challenged with SBV. After filtering, a total of 337.47 gigabytes of clean data and 31,000,613 high-quality SNP loci were detected in three populations. We used ten databases to annotate 9359 predicted genes. By combining population differentiation index (FST) and nucleotide polymorphisms (π), we examined genome variants between resistant (R) and susceptible (S) larvae, focusing on site integrity (INT < 0.5) and minor allele frequency (MAF < 0.05). A selective sweep analysis with the top 1% and top 5% was used to identify significant regions. Two SNPs on the 15th chromosome with GenBank KZ288474.1_322717 (Guanine > Cytosine) and KZ288479.1_95621 (Cytosine > Thiamine) were found to be significantly associated with SBV resistance based on their associated allele frequencies after SNP validation. Each SNP was authenticated in 926 and 1022 samples, respectively. The enrichment and functional annotation pathways from significantly predicted genes to SBV resistance revealed immune response processes, signal transduction mechanisms, endocytosis, peroxisomes, phagosomes, and regulation of autophagy, which may be significant in SBV resistance. This study presents novel and useful SNP molecular markers that can be utilized as assisted molecular markers to select honeybees resistant to SBV for breeding and that can be used as a biocontrol technique to protect honeybees from SBV.

Nonredundant Roles of Platelet Glycoprotein VI and Integrin αIIbß3 in Fibrin-Mediated Microthrombus Formation.

OBJECTIVE: Fibrin is considered to strengthen thrombus formation via integrin αIIbß3, but recent findings indicate that fibrin can also act as ligand for platelet glycoprotein VI. Approach and Results: To investigate the thrombus-forming potential of fibrin and the roles of platelet receptors herein, we generated a range of immobilized fibrin surfaces, some of which were cross-linked with factor XIIIa and contained VWF-BP (von Willebrand factor-binding peptide). Multicolor microfluidics assays with whole-blood flowed at high shear rate (1000 s-1) indicated that the fibrin surfaces, regardless of the presence of factor XIIIa or VWF-BP, supported platelet adhesion and activation (P-selectin expression), but only microthrombi were formed consisting of bilayers of platelets. Fibrinogen surfaces produced similar microthrombi. Markedly, tiggering of coagulation with tissue factor or blocking of thrombin no more than moderately affected the fibrin-induced microthrombus formation. Absence of αIIbß3 in Glanzmann thrombasthenia annulled platelet adhesion. Blocking of glycoprotein VI with Fab 9O12 substantially, but incompletely reduced platelet secretion, Ca2+ signaling and aggregation, while inhibition of Syk further reduced these responses. In platelet suspension, glycoprotein VI blockage or Syk inhibition prevented fibrin-induced platelet aggregation. Microthrombi on fibrin surfaces triggered only minimal thrombin generation, in spite of thrombin binding to the fibrin fibers. CONCLUSIONS: Together, these results indicate that fibrin fibers, regardless of their way of formation, act as a consolidating surface in microthrombus formation via nonredundant roles of platelet glycoprotein VI and integrin αIIbß3 through signaling via Syk and low-level Ca2+ rises.

Roles of Focal Adhesion Kinase PTK2 and Integrin αIIbß3 Signaling in Collagen- and GPVI-Dependent Thrombus Formation under Shear.

Glycoprotein (GP)VI and integrin αIIbß3 are key signaling receptors in collagen-dependent platelet aggregation and in arterial thrombus formation under shear. The multiple downstream signaling pathways are still poorly understood. Here, we focused on disclosing the integrin-dependent roles of focal adhesion kinase (protein tyrosine kinase 2, PTK2), the shear-dependent collagen receptor GPR56 (ADGRG1 gene), and calcium and integrin-binding protein 1 (CIB1). We designed and synthetized peptides that interfered with integrin αIIb binding (pCIB and pCIBm) or mimicked the activation of GPR56 (pGRP). The results show that the combination of pGRP with PTK2 inhibition or of pGRP with pCIB > pCIBm in additive ways suppressed collagen- and GPVI-dependent platelet activation, thrombus buildup, and contraction. Microscopic thrombus formation was assessed by eight parameters (with script descriptions enclosed). The suppressive rather than activating effects of pGRP were confined to blood flow at a high shear rate. Blockage of PTK2 or interference of CIB1 no more than slightly affected thrombus formation at a low shear rate. Peptides did not influence GPVI-induced aggregation and Ca2+ signaling in the absence of shear. Together, these data reveal a shear-dependent signaling axis of PTK2, integrin αIIbß3, and CIB1 in collagen- and GPVI-dependent thrombus formation, which is modulated by GPR56 and exclusively at high shear. This work thereby supports the role of PTK2 in integrin αIIbß3 activation and signaling.

Tyrosine-EDC Conjugation, an Undesirable Side Effect of the EDC-Catalyzed Carboxyl Labeling Approach.

Carbodiimide-catalyzed carboxyl and amine conjugation (amidation) has been widely used to protect carboxyl groups. N-(3-(Dimethylamino)propyl)-N'-ethylcarbodiimide (EDC) is the most common carbodiimide reagent in protein chemistry due to its high catalytic efficiency in aqueous media. The reaction has also been applied in different proteomic studies including protein terminomics, glycosylation, and interaction. Herein, we report that the EDC-catalyzed amidation could cause a +155 Da side modification on the tyrosine residue and severely hamper the identification of Tyr-containing peptides. We revealed the extremely low identification rate of Tyr-containing peptides in different published studies employing the EDC-catalyzed amidation. We discovered a +155 Da side modification occurring specifically on Tyr and decoded it as the addition of EDC. Consideration of the side modification in a database search enabled the identification of 13 times more Tyr-containing peptides. Furthermore, we successfully developed an efficient method to remove the side modification. Our results also imply that chemical reactions in proteomic studies should be carefully evaluated prior to their wide applications. Data are available via ProteomeXchange with identifier PXD020042.

Nucleotide-Binding Leucine-Rich Repeat Genes CsRSF1 and CsRSF2 Are Positive Modulators in the Cucumis sativus Defense Response to Sphaerotheca fuliginea.

Cucumber powdery mildew caused by Sphaerotheca fuliginea is a leaf disease that seriously affects cucumber's yield and quality. This study aimed to report two nucleotide-binding site-leucine-rich repeats (NBS-LRR) genes CsRSF1 and CsRSF2, which participated in regulating the resistance of cucumber to S. fuliginea. The subcellular localization showed that the CsRSF1 protein was localized in the nucleus, cytoplasm, and cell membrane, while the CsRSF2 protein was localized in the cell membrane and cytoplasm. In addition, the transcript levels of CsRSF1 and CsRSF2 were different between resistant and susceptible cultivars after treatment with exogenous substances, such as abscisic acid (ABA), methyl jasmonate (MeJA), salicylic acid (SA), ethephon (ETH), gibberellin (GA) and hydrogen peroxide (H2O2). The expression analysis showed that the transcript levels of CsRSF1 and CsRSF2 were correlated with plant defense response against S. fuliginea. Moreover, the silencing of CsRSF1 and CsRSF2 impaired host resistance to S. fuliginea, but CsRSF1 and CsRSF2 overexpression improved resistance to S. fuliginea in cucumber. These results showed that CsRSF1 and CsRSF2 genes positively contributed to the resistance of cucumber to S. fuliginea. At the same time, CsRSF1 and CsRSF2 genes could also regulate the expression of defense-related genes. The findings of this study might help enhance the resistance of cucumber to S. fuliginea.

Molecular Proteomics and Signalling of Human Platelets in Health and Disease.

Platelets are small anucleate blood cells that play vital roles in haemostasis and thrombosis, besides other physiological and pathophysiological processes. These roles are tightly regulated by a complex network of signalling pathways. Mass spectrometry-based proteomic techniques are contributing not only to the identification and quantification of new platelet proteins, but also reveal post-translational modifications of these molecules, such as acetylation, glycosylation and phosphorylation. Moreover, target proteomic analysis of platelets can provide molecular biomarkers for genetic aberrations with established or non-established links to platelet dysfunctions. In this report, we review 67 reports regarding platelet proteomic analysis and signalling on a molecular base. Collectively, these provide detailed insight into the: (i) technical developments and limitations of the assessment of platelet (sub)proteomes; (ii) molecular protein changes upon ageing of platelets; (iii) complexity of platelet signalling pathways and functions in response to collagen, rhodocytin, thrombin, thromboxane A2 and ADP; (iv) proteomic effects of endothelial-derived mediators such as prostacyclin and the anti-platelet drug aspirin; and (v) molecular protein changes in platelets from patients with congenital disorders or cardiovascular disease. However, sample sizes are still low and the roles of differentially expressed proteins are often unknown. Based on the practical and technical possibilities and limitations, we provide a perspective for further improvements of the platelet proteomic field.

Basic Strong Cation Exchange Chromatography, BaSCX, a Highly Efficient Approach for C-Terminomic Studies Using LysargiNase Digestion.

Decoding protein C-termini is a challenging task in protein chemistry using conventional chemical and enzymatic approaches. With the rapid development in modern mass spectrometer, many advanced mass spectrometry (MS)-based protein C-termini analysis approaches have been established. Although great progress is being continually achieved, it is still necessary to develop more efficient approaches in order to discover a proteome-scale protein C-termini (C-terminome) and consequently to help understand their biological functions. In this report, we describe the BaSCX method, for basic strong cation exchange chromatography, for C-terminome studies. Taking advantage of carboxylic amidation, LysargiNase digestion, and optimized search parameters, BaSCX enables identification of 1806 and 1812 database-annotated human protein C-termini from HeLa and 293T cells, resepctively, by triplicate experiments using 40 µg proteins each. Combined together, 2151 human protein C-termini, nearly three times the recently reported largest human C-terminome data set, are reported in this study. Similar results were acquired in different organisms, including mice, C. elegans, and tomatoes. Furthermore, we report for the first time the discovery of C-terminal-specific modifications using a proteomic approach, including three methyl-esterified protein C-termini and 16 α-amidated protein C-termini, demonstrating the excellent performance and great potential of BaSCX in C-terminomic studies. Data are available via ProteomeXchange with identifier PXD016317.

Brain transcriptome of honey bees (Apis mellifera) exhibiting impaired olfactory learning induced by a sublethal dose of imidacloprid.

Declines in honey bee populations represent a worldwide concern. The widespread use of neonicotinoid insecticides has been one of the factors linked to these declines. Sublethal doses of a neonicotinoid insecticide, imidacloprid, has been reported to cause olfactory learning deficits in honey bees via impairment of the target organ, the brain. In the present study, olfactory learning of honey bees was compared between controls and imidacloprid-treated bees. The brains of imidacloprid-treated and control bees were used for comparative transcriptome analysis by RNA-Seq to elucidate the effects of imidacloprid on honey bee learning capacity. The results showed that the learning performance of imidacloprid-treated bees was significantly impaired in comparison with control bees after chronic oral exposure to imidacloprid (0.02 ng/µl) for 11 days. Gene expression profiles between imidacloprid treatment and the control revealed that 131 genes were differentially expressed, of which 130 were downregulated in imidacloprid-treated bees. Validation of the RNA-Seq data using qRT-PCR showed that the results of qRT-PCR and RNA-Seq exhibited a high level of agreement. Gene ontology annotation indicated that the oxidation-reduction imbalance might exist in the brain of honey bees due to oxidative stress induced by imidacloprid exposure. KEGG and ingenuity pathway analysis revealed that transient receptor potential and Arrestin 2 in the phototransduction pathway were significantly downregulated in imidacloprid-treated bees, and that five downregulated genes have causal effects on behavioral response inhibition in imidacloprid-treated bees. Our results suggest that downregulation of brain genes involved in immune, detoxification and chemosensory responses may result in decreased olfactory learning capabilities in imidacloprid-treated bees.

An Approach to Incorporate Multi-Enzyme Digestion into C-TAILS for C-Terminomics Studies.

Protein C-termini study is still a challenging task and far behind its counterpart, N-termini study. MS based C-terminomics study is often hampered by the low ionization efficiency of C-terminal peptides and the lack of efficient enrichment methods. We previously optimized the C-terminal amine-based isotope labeling of substrates (C-TAILS) method and identified 369 genuine protein C-termini in Escherichia coli. A key limitation of C-TAILS is that the prior protection of amines and carboxylic groups at protein level makes Arg-C as the only specific enzyme in practice. Herein, we report an approach combining multi-enzyme digestion and C-TAILS, which significantly increases the identification rate of C-terminal peptides and consequently improves the applicability of C-TAILS in biological studies. We carry out a systematic study and confirm that the omission of the prior amine protection at protein level has a negligible influence and allows the application of multi-enzyme digestion. We successfully apply five different enzyme digestions to C-TAILS, including trypsin, Arg-C, Lys-C, Lys-N, and Lysarginase. As a result, we identify a total of 722 protein C-termini in E. coli, which is at least 66% more than the results using any single enzyme. Moreover, the favored enzyme and enzyme combination are discovered. Data are available via ProteomeXchange with identifier PXD004275.

Enzyme and Chemical Assisted N-Terminal Blocked Peptides Analysis, ENCHANT, as a Selective Proteomics Approach Complementary to Conventional Shotgun Approach.

Shotgun (bottom-up) approach has been widely applied in large-scale proteomics studies. The inherent shortages of shotgun approach lie in that the generated peptides often overwhelm the analytical capacity of current LC-MS/MS systems and that high-abundance proteins often hamper the identification of low-abundance proteins when analyzing complex samples. To reduce the sample complexity and relieve the problems caused by abundant proteins, herein we introduce a modified selective proteomics approach, termed ENCHANT, for enzyme and chemical assisted N-terminal blocked peptides analysis. Modified from our previous Nα-acetylome approach, ENCHANT aims to analyze three kinds of peptides, acetylated protein N-termini, N-terminal glutamine and N-terminal cysteine containing peptides. Application of ENCHANT to HeLa cells allowed to identify 3375 proteins, 19.6% more than that by conventional shotgun approach. More importantly, ENCHANT demonstrated an excellent complementarity to conventional shotgun approach with the overlap of 34.5%. In terms of quantification using data independent acquisition (DIA) technology, ENCHANT quantified 23.9% more proteins than conventional shotgun approach with the overlap of 27.6%. Therefore, our results strongly suggest that ENCHANT is a promising selective proteomics approach, which is complementary to conventional shotgun approach in both qualitative and quantitative proteomics studies. Data are available via ProteomeXchange with identifier PXD007863.

Lys-C/Arg-C, a More Specific and Efficient Digestion Approach for Proteomics Studies.

Nowadays, bottom-up approaches are predominantly adopted in proteomics studies, which necessitate a proteolysis step prior to MS analysis. Trypsin is often the best protease in choice due to its high specificity and MS-favored proteolytic products. A lot of efforts have been made to develop a superior digestion approach but hardly succeed, especially in large-scale proteomics studies. Herein, we report a new tandem digestion using Lys-C and Arg-C, termed Lys-C/Arg-C, which has been proven to be more specific and efficient than trypsin digestion. Reanalysis of our previous data ( Anal. Chem. 2018, 90 (3), 1554-1559) revealed that both Lys-C and Arg-C are trypsin-like proteases and perform better when considered as trypsin. In particular, for Arg-C, the identification capacity is increased to 2.6 times and even comparable with trypsin. The good complementarity, high digestion efficiency, and high specificity of Lys-C and Arg-C prompt the Lys-C/Arg-C digestion. We systematically evaluated Lys-C/Arg-C digestion using qualitative and quantitative proteomics approaches and confirmed its superior performance in digestion specificity, efficiency, and identification capacity to the currently widely used trypsin and Lys-C/trypsin digestions. As a result, we concluded that the Lys-C/Arg-C digestion approach would be the choice of next-generation digestion approach in both qualitative and quantitative proteomics studies. Data are available via ProteomeXchange with identifier PXD009797.

Morphological and Near-Field Properties of Silver Columnar Thin Film for Surface-Enhanced Raman Scattering.

Noble metal sculptured thin films have attracted great research interest last decade as competitive surface-enhanced Raman scattering (SERS) substrates. However, the influences of the deposition conditions and the morphology on the plasmonic properties and SERS performance of the metal sculptured thin films have not been well understood due to the complexities of the morphology. In this work, the influences of the deposition angle and the height are investigated in both experiment and numerical simulation. A more accurate geometrical model based on the binarized scanning electron microscope images has been utilized to study the near-field plasmonic properties of Ag column thin films by taking account of the geometry irregularities, size distributions and random arrangement of the columns. It's found that the cross-sectional electric field enhancement is mainly dominated by the column density. When the deposition angle increases from 68° to 82° the SERS enhancement factors increases monotonously due to the increase of the self-shadow effect. While with the increase of height the SERS enhancement factors firstly increase to the largest value of 3.05 × 108 at the thickness of 694 nm then decrease because of competitive growth mechanism during the deposition. The detection limit of the optimized sample is found to be lower than 10-12 M. Our work could be helpful in understanding the SERS mechanism and useful to the optimization of metal sculptured thin films as SERS substrates.

An optimized guanidination method for large-scale proteomic studies.

As an ε-amine specific derivatization method, guanidination is widely used in proteomic studies for mainly two reasons: the significant improvement in ionization efficiency and the selective protection of ε-amine. Herein, we employed a systematic comparison of two widely used guanidination approaches and revealed the advantages and disadvantages of each method. The sodium buffer based approach resulted in an unexpected side modification, +57 Da, which is reported for the first time; whereas the ammonium buffer based approach resulted in relatively lower yield. We carried out an optimization study by testing different buffer compositions, pH, temperatures and reaction times, and consequently discovered the optimized guanidination condition. Furthermore, we decoded the +57 Da side product as the addition of C2 H3 NO and proposed a possible mechanism of the side reaction. Importantly, our study demonstrated that mass spectrometry is a powerful tool in discovering minor side reactions which are often impossible by other techniques, and hence suggested that chemical derivatization methods should be investigated more carefully prior to extensive applications in proteomics field.

Systematic Optimization of C-Terminal Amine-Based Isotope Labeling of Substrates Approach for Deep Screening of C-Terminome.

It is well-known that protein C-termini play important roles in various biological processes, and thus the precise characterization of C-termini is essential for fully elucidating protein structures and understanding protein functions. Although many efforts have been made in the field during the latest 2 decades, the progress is still far behind its counterpart, N-termini, and it necessitates more novel or optimized methods. Herein, we report an optimized C-termini identification approach based on the C-terminal amine-based isotope labeling of substrates (C-TAILS) method. We optimized the amidation reaction conditions to achieve higher yield of fully amidated product. We evaluated different carboxyl and amine blocking reagents and found the superior performance of Ac-NHS and ethanolamine. Replacement of dimethylation with acetylation for Lys blocking resulted in the identification of 232 C-terminal peptides in an Escherichia coli sample, about 42% higher than the conventional C-TAILS. A systematic data analysis revealed that the optimized method is unbiased to the number of lysine in peptides, more reproducible and with higher MASCOT scores. Moreover, the introduction of the Single-Charge Ion Inclusion (SCII) method to alleviate the charge deficiency of small peptides allowed an additional 26% increase in identification number. With the optimized method, we identified 481 C-terminal peptides corresponding to 369 C-termini in E. coli in a triplicate experiments using 80 µg each. Our optimized method would benefit the deep screening of C-terminome and possibly help discover some novel C-terminal modifications. Data are available via ProteomeXchange with identifier PXD002409.