timsTOF Pro Research Articles

Analyzing changes in tear proteins of Sjogren’s syndrome patients with timsTOF pro

AbstractPurposeTo investigate changes in the tear proteome of patients with Sjögren's syndrome (SSp) using a high‐resolution trapped ion mobility spectrometry (TIMS) powered with parallel accumulation–serial fragmentation (PASEF).MethodsTear samples were collected using Schirmer strips from healthy controls (HC) and SSp, then extracted in ammonium bicarbonate. The protein content of each sample was normalized to 250 ng. Proteomics analysis was performed by using TIMS coupled quadrupole time‐of‐flight (timsTOF Pro) followed by data processing using MaxQuant software for protein identification. Differentially expressed proteins were detected by a Limma statistical test with a false discovery rate (FDR)˂1%. Protein Gene Ontology classification was performed by using Panther.ResultsThe proteins identified decreased by 23.9% in SSp compared to HC. Off the proteins identified in SSp, 90% were common with HC while only 68% of the proteins identified in HC were detected in SSp. A total of 175 proteins were significantly modulated in SSp with a fold‐change ≥ 1.5 (p‐value ≤0.05). None of the proteins detected only in SSp was among significantly modulated proteins but 25 proteins identified only in HC were significantly modulated. Catalytic activity (46.9%) and binding proteins (38.5%) formed the major molecular function groups among significantly modulated proteins. Proteins that exhibit binding activity were mainly down‐regulated in SSp while proteins involved in apoptosis such as caspase‐3 and proteasome subunits were up‐regulated. Several oxidoreductase enzymes (18) such as sulfhydryl oxidase‐1, Glutathione peroxidase‐3 and lactoperoxidase have been down‐regulated. Actins, actin‐binding proteins, tubulins, microtubule‐binding proteins were decreased in SSp. These results highlight an alteration in cellular process and antioxidase activity.ConclusionsA large amount of proteins expressed differently in SSp that involve important biological processes and signalling pathways have been revealed. The improved spatial resolution, sensitivity, speed, and specificity of timsTOF Pro can dramatically increase the ability to fully investigate the molecular factors behind the pathophysiology of SS.

High-Throughput Plasma Proteomic Profiling.

Plasma and serum are rich sources of proteins that are commonly used for clinical proteome profiling and biomarkers discovery. However, high-throughput plasma proteome profiling and quantitative analysis using mass spectrometry are challenging because of the large dynamic range of protein abundance and complexity. To overcome these challenges, we developed a convenient high-throughput workflow of depleted plasma using the 4D-Proteomics feature of the Bruker timsTOF Pro mass spectrometer with data-dependent (PASEF) and data-independent acquisition (diaPASEF) method that can potentially be used in a clinical proteome profiling and biomarker discoveries. This workflow is robust, optimal for high throughput, high proteome depth, and is reproducible. In our sample preparation steps, we used immuno-depletion steps to remove high-abundance plasma proteins, and without any further cleanup steps, we can use depleted plasma samples directly for enzymatic digestion. Immuno-depletion steps and 4D-Proteomics features of timsTOF Pro increase the plasma proteome depth, and accuracy with the identification of >800 protein groups.

Proteomic Analysis of Tears and Conjunctival Cells Collected with Schirmer Strips Using timsTOF Pro: Preanalytical Considerations.

This study aimed to investigate the human proteome profile of samples collected from whole (W) Schirmer strips (ScS) and their two parts—the bulb (B) and the rest of the strip (R)—with a comprehensive proteomic approach using a trapped ion mobility mass spectrometer, the timsTOF Pro. Eight ScS were collected from two healthy subjects at four different visits to be separated into three batches, i.e., 4W, 4B, and 4R. In total, 1582 proteins were identified in the W, B, and R batches. Among all identified proteins, binding proteins (43.4%) and those with catalytic activity (42.2%) constituted more than 80% of the molecular functions. The most represented biological processes were cellular processes (31.2%), metabolic processes (20.8%), and biological regulation (13.1%). Enzymes were the most represented protein class (41%), consisting mainly of hydrolases (47.5%), oxidoreductases (22.1%), and transferases (16.7%). The bulb (B), which is in contact with the conjunctiva, might collect both tear and cell proteins and therefore promote the identification of more proteins. Processing B and R separately before mass spectrometry (MS) analysis, combined with the high data acquisition speed and the addition of ion-mobility-based separation in the timsTOF Pro, can bring a new dimension to biomarker investigations of a limited sample such as tear fluid.

Hydroxyl radical footprinting analysis of a human haptoglobin-hemoglobin complex

Methods of structural mass spectrometry have become more popular to study protein structure and dynamics. Among them, fast photochemical oxidation of proteins (FPOP) has several advantages such as irreversibility of modifications and more facile determination of the site of modification with single residue resolution. In the present study, FPOP analysis was applied to study the hemoglobin (Hb) – haptoglobin (Hp) complex allowing identification of respective regions altered upon the complex formation. FPOP footprinting using a timsTOF Pro mass spectrometer revealed structural information for 84 and 76 residues in Hp and Hb, respectively, including statistically significant differences in the modification extent below 0.3%. The most affected residues upon complex formation were Met76 and Tyr140 in Hbα, and Tyr280 and Trp284 in Hpβ. The data allowed determination of amino acids directly involved in Hb – Hp interactions and those located outside of the interaction interface yet affected by the complex formation. Also, previously modeled interaction between Hb βTrp37 and Hp βPhe292 was not confirmed by our data. Data are available via ProteomeXchange with identifier PXD021621.

PRM-LIVE with Trapped Ion Mobility Spectrometry and Its Application in Selectivity Profiling of Kinase Inhibitors.

Parallel reaction monitoring (PRM) has emerged as a popular approach for targeted protein quantification. With high ion utilization efficiency and first-in-class acquisition speed, the timsTOF Pro provides a powerful platform for PRM analysis. However, sporadic chromatographic drift in peptide retention time represents a fundamental limitation for the reproducible multiplexing of targets across PRM acquisitions. Here, we present PRM-LIVE, an extensible, Python-based acquisition engine for the timsTOF Pro, which dynamically adjusts detection windows for reproducible target scheduling. In this initial implementation, we used iRT peptides as retention time standards and demonstrated reproducible detection and quantification of 1857 tryptic peptides from the cell lysate in a 60 min PRM-LIVE acquisition. As an application in functional proteomics, we use PRM-LIVE in an activity-based protein profiling platform to assess binding selectivity of small-molecule inhibitors against 220 endogenous human kinases.

Cross-Linking/Mass Spectrometry Combined with Ion Mobility on a timsTOF Pro Instrument for Structural Proteomics.

The combination of cross-linking/mass spectrometry (XL-MS) and ion mobility is still underexplored for conducting protein conformational and protein-protein interaction studies. We present a method for analyzing cross-linking mixtures on a timsTOF Pro mass spectrometer that allows separating ions based on their gas-phase mobilities. Cross-linking was performed with three urea-based MS-cleavable cross-linkers that deliver distinct fragmentation patterns for cross-linked species upon collisional activation. The discrimination of cross-linked species from non-cross-linked peptides was readily performed based on their collisional cross sections. We demonstrate the general feasibility of our combined XL-MS/ion mobility approach for three protein systems of increasing complexity: (i) bovine serum albumin (BSA), (ii) Escherichia coli ribosome, and (iii) HEK293T cell nuclear lysates. We identified a total of 623 unique cross-linking sites for BSA, 670 for the E. coli ribosome, and 1623 unique cross-links for nuclear lysates, corresponding to 1088 intra- and 535 interprotein interactions and yielding 564 distinct protein-protein interactions. Our results underline the strength of combining XL-MS with ion mobility not only for deriving three-dimensional (3D) structures of single proteins but also for performing system-wide protein interaction studies.

High-Throughput Multi-attribute Analysis of Antibody-Drug Conjugates Enabled by Trapped Ion Mobility Spectrometry and Top-Down Mass Spectrometry.

Antibody-drug conjugates (ADCs) are one of the fastest growing classes of anticancer therapies. Combining the high targeting specificity of monoclonal antibodies (mAbs) with cytotoxic small molecule drugs, ADCs are complex molecular entities that are intrinsically heterogeneous. Primary sequence variants, varied drug-to-antibody ratio (DAR) species, and conformational changes in the starting mAb structure upon drug conjugation must be monitored to ensure the safety and efficacy of ADCs. Herein, we have developed a high-throughput method for the analysis of cysteine-linked ADCs using trapped ion mobility spectrometry (TIMS) combined with top-down mass spectrometry (MS) on a Bruker timsTOF Pro. This method can analyze ADCs (∼150 kDa) by TIMS followed by a three-tiered top-down MS characterization strategy for multi-attribute analysis. First, the charge state distribution and DAR value of the ADC are monitored (MS1). Second, the intact mass of subunits dissociated from the ADC by low-energy collision-induced dissociation (CID) is determined (MS2). Third, the primary sequence for the dissociated subunits is characterized by CID fragmentation using elevated collisional energies (MS3). We further automate this workflow by directly injecting the ADC and using MS segmentation to obtain all three tiers of MS information in a single 3-min run. Overall, this work highlights a multi-attribute top-down MS characterization method that possesses unparalleled speed for high-throughput characterization of ADCs.

Ultrafast and Reproducible Proteomics from Small Amounts of Heart Tissue Enabled by Azo and timsTOF Pro.

Global bottom-up mass spectrometry (MS)-based proteomics is widely used for protein identification and quantification to achieve a comprehensive understanding of the composition, structure, and function of the proteome. However, traditional sample preparation methods are time-consuming, typically including overnight tryptic digestion, extensive sample cleanup to remove MS-incompatible surfactants, and offline sample fractionation to reduce proteome complexity prior to online liquid chromatography-tandem mass spectrometry (LC-MS/MS) analysis. Thus, there is a need for a fast, robust, and reproducible method for protein identification and quantification from complex proteomes. Herein, we developed an ultrafast bottom-up proteomics method enabled by Azo, a photocleavable, MS-compatible surfactant that effectively solubilizes proteins and promotes rapid tryptic digestion, combined with the Bruker timsTOF Pro, which enables deeper proteome coverage through trapped ion mobility spectrometry (TIMS) and parallel accumulation-serial fragmentation (PASEF) of peptides. We applied this method to analyze the complex human cardiac proteome and identified nearly 4000 protein groups from as little as 1 mg of human heart tissue in a single one-dimensional LC-TIMS-MS/MS run with high reproducibility. Overall, we anticipate this ultrafast, robust, and reproducible bottom-up method empowered by both Azo and the timsTOF Pro will be generally applicable and greatly accelerate the throughput of large-scale quantitative proteomic studies. Raw data are available via the MassIVE repository with identifier MSV000087476.

P035 Potential biomarkers for diagnosis through proteomics, in patients with Inflammatory Bowel Disease

Abstract Background Currently,endoscopy,an invasive medical procedure, is the gold standard for diagnosis of inflammatory bowel disease (IBD) and to determine mucosal activity.Our main goal was to identify biomarkers in saliva samples that can be used as a screening tool for the diagnosis of ulcerative colitis(UC) and Crohn`s disease(CD). Methods 100 saliva samples were collected from: healthy individuals(20), UC-active stage(10),UC-remission stage(31),CD-active stage(7) and CD-remission stage(32) patients. The samples were thawed on ice and centrifugated at 10,000g for 15 min at 4ºC.The supernatants were aliquoted and stored at -80ºC. The protein extracts were digested with trypsin and peptides resulting from digestion were loaded onto a nano Acquity UPLC chromatograph and analysed in a nano Elute coupled on-line to a timsTOF Pro(Bruker).The data obtained was then processed and loaded onto the Progenesis LC-MS software (Nonlinear Dynamics) for Orbitrap data and PEAKS(Bioinformatics Solutions Inc.) for timsTOF Pro data. Finally, this information was converted to deregulation patterns at protein level and relative quantification was done. Saliva protein levels were compared between healthy (always as control) and CD remission,UC remission,UC active and CD active stages respectively.The identification of potential biomarkers was carried out with classical statistic methods(p value<0,05 and ratio> 1,5) and data Mining mathematical model(p-value<0,05, balanced accuracy ≥ 70, sensitivity ≥ 60 and specificity ≥ 60). Results We have chosen the most relevant classifiers according to statistical and biological criteria, based on their biological function and the pathogenesis of UC or CD(figure 1). We have identified 152 classifiers(biomarkers),118 single and 34 dual, defined by one or two proteins of a list of 135 proteins(table 1).The classifiers are shown for each cohort compared to healthy control:42 biomarkers were found in Active UC,16 in Remission UC, 99 in Active CD and 13 in Remission CD,all of them compared to healthy controls. Conclusion Multiple potential biomarkers have been identified in saliva in relation to IBD. Biomarkers with significant value have been found for identifying and classifying UC as well as CD, compared to controls.The number of biomarkers found in CD has been higher than in UC. The simple biomarker option(versus dual) is recommended,since its application involves fewer errors.

Benefits of Ion Mobility Separation and Parallel Accumulation-Serial Fragmentation Technology on timsTOF Pro for the Needs of Fast Photochemical Oxidation of Protein Analysis.

Fast photochemical oxidation of proteins (FPOP) is a recently developed technique for studying protein folding, conformations, interactions, etc. In this method, hydroxyl radicals, usually generated by KrF laser photolysis of H2O2, are used for irreversible labeling of solvent-exposed side chains of amino acids. Mapping of the oxidized residues to the protein’s structure requires pinpointing of modifications using a bottom-up proteomic approach. In this work, a quadrupole time-of-flight (QTOF) mass spectrometer coupled with trapped ion mobility spectrometry (timsTOF Pro) was used for identification of oxidative modifications in a model protein. Multiple modifications on the same residues, including six modifications of histidine, were successfully resolved. Moreover, parallel accumulation–serial fragmentation (PASEF) technology allows successful sequencing of even minor populations of modified peptides. The data obtained indicate a clear improvement of the quality of the FPOP analysis from the viewpoint of the number of identified peptides bearing oxidative modifications and their precise localization. Data are available via ProteomeXchange with identifier PXD020509.

OpenTIMS, TimsPy, and TimsR: Open and Easy Access to timsTOF Raw Data.

The Bruker timsTOF Pro is an instrument that couples trapped ion mobility spectrometry (TIMS) to high-resolution time-of-flight (TOF) mass spectrometry (MS). For proteomics, lipidomics, and metabolomics applications, the instrument is typically interfaced with a liquid chromatography (LC) system. The resulting LC-TIMS-MS data sets are, in general, several gigabytes in size and are stored in the proprietary Bruker Tims data format (TDF). The raw data can be accessed using proprietary binaries in C, C++, and Python on Windows and Linux operating systems. Here we introduce a suite of computer programs for data accession, including OpenTIMS, TimsR, and TimsPy. OpenTIMS is a C++ library capable of reading Bruker TDF files. It opens up Bruker's proprietary codebase. TimsPy and TimsR build on top of OpenTIMS, enabling swift and user-friendly data access to the raw data with Python and R. Both programs are available under a GPL3 license on all major platforms, extending the possibility to interact with timsTOF data to macOS. Additionally, OpenTIMS is capable of translating Bruker data into HDF5 files that can be easily analyzed from Python with the vaex module. OpenTIMS and TimsPy therefore provide easy and quick access to Bruker timsTOF raw data.

In-depth proteomic analysis of Plasmodium berghei sporozoites using trapped ion mobility spectrometry with parallel accumulation-serial fragmentation.

Sporozoites of the malaria parasite Plasmodium are transmitted by mosquitoes and infect the liver for an initial and obligatory round of replication, before exponential multiplication in the blood and onset of the disease. Sporozoites and liver stages provide attractive targets for malaria vaccines and prophylactic drugs. In this context, defining the parasite proteome is important to explore the parasite biology and to identify potential targets for antimalarial strategies. Previous studies have determined the total proteome of sporozoites from the two main human malaria parasites, P. falciparum and P. vivax, as well as P. yoelii, which infects rodents. Another murine malaria parasite, P. berghei, is widely used to investigate the parasite biology. However, a deep view of the proteome of P. berghei sporozoites is still missing. To fill this gap, we took advantage of the highly sensitive timsTOF PRO mass spectrometer, combined with three alternative methods for sporozoite purification, to identify the proteome of P. berghei sporozoites using low numbers of parasites. This study provides a reference proteome for P. berghei sporozoites, identifying a core set of proteins expressed across species, and illustrates how the unprecedented sensitivity of the timsTOF PRO system enables deep proteomic analysis from limited sample amounts.

Advances in high-throughput proteomic analysis

基于质谱的蛋白质组学技术已经日趋成熟,可以对细胞和组织中的成千上万种蛋白质进行全面的定性和定量分析,逐步实现“深度覆盖”。随着生物医学日益增长的大队列蛋白质组学分析需求,如何在保持较为理想的覆盖深度下实现短时间、快速的“高通量”蛋白质组学分析已成为当前亟需解决的关键问题之一。常规的蛋白质组学分析流程通常包括样品前处理、色谱分离、质谱检测和数据分析。该文从以上4个方面展开介绍近10年以来高通量蛋白质组学分析技术取得的一系列研究进展,主要包括:(1)基于高通量、自动化移液工作站的蛋白质组样品前处理方法;(2)基于微升流速液相色谱与质谱联用的高通量蛋白质组检测方法;(3)利用灵敏度高、扫描速度快的质谱仪实现短色谱梯度分离下蛋白质组深度覆盖的分析方法;(4)基于人工智能、深度神经网络、机器学习等的蛋白质组学大数据分析方法。此外,对高通量蛋白质组学面临的挑战及其发展进行展望。总而言之,预期在不久的将来高通量蛋白质组学技术将会逐步“落地转化”,成为大队列蛋白质组学分析的利器。

207 Proteomic analysis of umbilical cord in fetal growth restriction and preeclampsia

Fetal growth restriction (FGR) is associated with adverse perinatal outcomes. Pre-eclampsia (PreE), a risk factor for FGR, independently increases the associated perinatal morbidity and mortality. The structure of the umbilical cord in the setting of FGR and FGR in with PreE is understudied. We aimed to examine changes in the umbilical cord (UC) composition in pregnancies complicated by FGR and FGR + PreE. UC from 15 gestational age-matched pregnancies with isolated FGR (n=5), FGR + PreE (n=5) and controls (n=5) were collected, and a standardized portion of the UC was processed for histologic and proteomic analysis. Manual segmentation image analysis was performed to measure cross-section areas of umbilical cord regions. Wharton’s Jelly samples were analyzed on a tims-TOF Pro. Spectral count and ion abundance data were analyzed using intersection data from a combination of multiple mass spectrometry search and inference engines. A p-value <0.05 represents statistical significance. UCs from FGR and FGR+PreE had lower cross sectional area and Wharton’s Jelly area compared with control (p = 0.03 for both). 28 proteins were significantly different in abundance measurement and 34 in spectral count in FGR vs controls (p-value < 0.05). Gene ontology analysis showed the majority of changes were in extracellular matrix proteins. 48 proteins were significantly different in abundance measurement and 5 in spectral count between PreE + FGR vs controls with the majority of changes occurring in inflammatory pathways. This study suggests significant changes in the structure and composition of the umbilical cord in FGR and FGR+PreE pregnancies. These differences represent distinct etiological pathways. Further work in validating these proteomic differences may enable identification of novel molecules as therapeutic targets for FGR and FGR + PreE.View Large Image Figure ViewerDownload Hi-res image Download (PPT)

Highly Multiplexed Targeted Proteomics Acquisition on a TIMS-QTOF.

Targeted proteomics allows the highly sensitive detection of specific peptides and proteins in complex biological samples. Here, we describe a methodology for targeted peptide quantification using a trapped ion mobility quadrupole time-of-flight mass spectrometer (timsTOF Pro). The prm-PASEF method exploits the multiplexing capability provided by the trapped ion mobility separation, allowing more than 200 peptides to be monitored over a 30 min liquid chromatography separation. Compared to conventional parallel reaction monitoring (PRM), precursor ions are accumulated in the trapped ion mobility spectrometry (TIMS) cells and separated according to their shape and charge before eluting into the quadrupole time-of-flight (QTOF) part of the mass spectrometer. The ion mobility trap allows measuring up to six peptides from a single 100 ms ion mobility separation with the current setup. Using these improved mass spectrometric capabilities, we detected and quantified 216 isotope-labeled synthetic peptides (AQUA peptides) spiked in HeLa human cell extract with limits of quantification of 17.2 amol for some peptides. The acquisition method is highly reproducible between injections and enables accurate quantification in biological samples, as demonstrated by quantifying KRas, NRas, and HRas as well as several Ras mutations in lung and colon cancer cell lines on fast 10 min gradient separations.

DiaPASEF: parallel accumulation-serial fragmentation combined with data-independent acquisition.

Data-independent acquisition modes isolate and concurrently fragment populations of different precursors by cycling through segments of a predefined precursor m/z range. Although these selection windows collectively cover the entire m/z range, overall, only a few per cent of all incoming ions are isolated for mass analysis. Here, we make use of the correlation of molecular weight and ion mobility in a trapped ion mobility device (timsTOF Pro) to devise a scan mode that samples up to 100% of the peptide precursor ion current in m/z and mobility windows. We extend an established targeted data extraction workflow by inclusion of the ion mobility dimension for both signal extraction and scoring and thereby increase the specificity for precursor identification. Data acquired from whole proteome digests and mixed organism samples demonstrate deep proteome coverage and a high degree of reproducibility as well as quantitative accuracy, even from 10 ng sample amounts.

QuantPipe: A User-Friendly Pipeline Software Tool for DIA Data Analysis Based on the OpenSWATH-PyProphet-TRIC Workflow.

Targeted analysis of data-independent acquisition (DIA) mass spectrometry data requires elegant software tools and strict statistical control. OpenSWATH-PyProphet-TRIC is a widely used DIA data analysis workflow. The OpenSWATH-PyProphet-TRIC workflow is typically executed by running command lines. Here, we present QuantPipe, which is a graphic interface software tool based on the OpenSWATH-PyProphet-TRIC workflow. In addition to OpenSWATH-PyProphet-TRIC functions, QuantPipe can convert the spectral library to the assay library and output peptides and protein intensities. We demonstrated that QuantPipe can be used to analyze SWATH-MS data from TripleTOF 5600 and TripleTOF 6600, phospho-SWATH-MS data, DIA data from Orbitrap instrument, and diaPASEF data from TimsTOF Pro instrument. The executable files, user manual, and source code of QuantPipe are freely available at https://github.com/tachengxmu/QuantPipe/releases.

Benefits of Collisional Cross Section Assisted Precursor Selection (caps-PASEF) for Cross-linking Mass Spectrometry

Ion mobility separates molecules in the gas-phase based on their physico-chemical properties, providing information about their size as collisional cross-sections. The timsTOF Pro combines trapped ion mobility with a quadrupole, collision cell and a TOF mass analyzer, to probe ions at high speeds with on-the-fly fragmentation. Here, we show that on this platform ion mobility is beneficial for cross-linking MS (XL-MS). Cross-linking reagents covalently link amino acids in proximity, resulting in peptide pairs after proteolytic digestion. These cross-linked peptides are typically present at low abundance in the background of normal peptides, which can partially be resolved by using enrichable cross-linking reagents. Even with a very efficient enrichable cross-linking reagent, like PhoX, the analysis of cross-linked peptides is still hampered by the co-enrichment of peptides connected to a partially hydrolyzed reagent - termed mono-linked peptides. For experiments aiming to uncover protein-protein interactions these are unwanted byproducts. Here, we demonstrate that gas-phase separation by ion mobility enables the separation of mono-linked peptides from cross-linked peptide pairs. A clear partition between these two classes is observed at a CCS of 500 Å2 and a monoisotopic mass of 2 kDa, which can be used for targeted precursor selection. A total of 50-70% of the mono-linked peptides are prevented from sequencing, allowing the analysis to focus on sequencing the relevant cross-linked peptide pairs. In applications to both simple proteins and protein mixtures and a complete highly complex lysate this approach provides a substantial increase in detected cross-linked peptides.

Quantitative Proteomic Analysis of Chikungunya Virus-Infected Aedes aegypti Reveals Proteome Modulations Indicative of Persistent Infection.

The mosquito-borne chikungunya virus (CHIKV) poses a threat to human health in tropical countries throughout the world. The molecular interactions of CHIKV with its mosquito vector Aedes aegypti are not fully understood. Following oral acquisition of CHIKV via salinemeals, we analyzed changes in the proteome of Ae. aegypti in 12 h intervals by label-free quantification using a timsTOF Pro mass spectrometer. For each of the seven time points, between 2647 and 3167 proteins were identified among CHIKV-infected and noninfected mosquito samples, and fewer than 6% of those identified proteins were affected by the virus. Functional enrichment analysis revealed that the three pathways, Endocytosis, Oxidative phosphorylation, and Ribosome biogenesis, were enriched during CHIKV infection. On the other hand, three pathways of the cellular RNA machinery and five metabolism related pathways were significantly attenuated in the CHIKV-infected samples. Furthermore, proteins associated with cytoskeleton and vesicular transport, as well as various serine-type endopeptidases and metallo-proteinases, were modulated in the presence of CHIKV. Our study reveals biological pathways and novel proteins interacting with CHIKV in the mosquito. Overall, CHIKV infection caused minor changes to the mosquito proteome demonstrating a high level of adaption between the vector and the virus, essentially coexisting in a nonpathogenic relationship. The mass spectrometry data have been deposited to the MassIVE repository (https://massive.ucsd.edu/ProteoSAFe/dataset.jsp?task=abfd14f7015243c69854731998d55df1) with the data set identifier MSV000085115.

In-depth proteomics and natural peptidomics analyses reveal antibacterial peptides in human endometrial fluid

The composition of endometrial fluid reflects the status of the endometrium; it is a good atraumatic source of information on embryo implantation processes and possible pathological conditions. Although some attempts have been made to characterise its proteome, the catalogue of its proteins remains incomplete and little has been done to analyse the natural peptides it contains. Here, we present a comprehensive analysis of the proteins and natural peptides of the endometrial fluid. The protein content of samples from 11 individuals was analysed using the novel timsTOF Pro mass spectrometer. We identified 4694 proteins with at least one peptide with FDR < 1%, of which 2261 were found in >50% of the samples. A pooled endometrial fluid sample was used for isolation and analysis of the natural peptides. Mass spectrometry analysis identified 3899 naturally occurring peptides from 238 different proteins. Among these, there were some putative natural antibacterial peptides. Antimicrobial activity of peptides derived from elafin and Cu/Zn superoxide dismutase was confirmed using microbiological assays. Our results substantially expand the catalogue of known endometrial fluid proteins and provide extensive new information on the natural peptide content of this fluid. SignificanceThe endometrial fluid contains many proteins whose clinical relevance is still unknown. Some might be merely markers of endometrial function, but others might play a role in embryo nutrition and/or implantation. Human endometrial fluid analysis might open the door to new developments in embryo transfer strategies in in-vitro fertilisation programmes and lead to improvements in the composition of embryo culture media. Here, we report, for the first time, antimicrobial activity of endometrial fluid peptides. Such peptides could play an important role in the balance of the recently described uterine microbiota.