Journal of proteomics最新文献

{"title":"Proteo-transcriptomic profiles reveal genetic mechanisms underlying primary hair follicle development in coarse sheep fetal skin","authors":"Dehong Tian ,&nbsp;Wenkui Zhang ,&nbsp;Lei Wang ,&nbsp;Junying Qi ,&nbsp;Teng Xu ,&nbsp;Mingxing Zuo ,&nbsp;Buying Han ,&nbsp;Xue Li ,&nbsp;Kai Zhao","doi":"10.1016/j.jprot.2024.105327","DOIUrl":"10.1016/j.jprot.2024.105327","url":null,"abstract":"<div><div>Long hair trait represents a valuable genetic asset in Qinghai Tibetan sheep, with its quality and yield being contingent upon the characteristics of hair follicles (HFs). This study aims to elucidate the genetic mechanism underlying primary hair follicles (PFs) formation through an integrated analysis of proteomics and transcriptomics. Samples were collected at key stages of fetal HF formation (E65 and E85) for histological observation, revealing significant alterations in the microstructure of PF (E65) during the developmental process. In this study, a comprehensive analysis revealed a total of 217 overlapping genes that exhibited concordant expression patterns at both the proteomic and transcriptomic levels. Furthermore, to ensure the reliability of our findings, we employed parallel response monitoring (PRM) to validate the obtained proteomic data. The protein-protein interaction (PPI) network diagram highlights five hub core proteins (TTN, IGTA2, F2, EGFR, and MYH14). These differentially expressed proteins (DEPs) play crucial roles in metabolic processes, cell adhesion, and diverse biological processes. The potential synergy between transcriptional regulation and post-translational modifications plays a pivotal role in governing the initiation PF development. The findings presented in this study offer innovative insights into the molecular mechanisms underlying HFs generation and establish a robust foundation for targeted breeding strategies aimed at augmenting wool traits in sheep.</div></div><div><h3>Significance</h3><div>The composition of coarse hair primarily consists of long, myelinated fibers originating from primary hair follicles. Sheep fetal skin initiates the formation of primary hair follicles around E65, followed by the development of secondary hair follicles around E85. Conducting differential proteomic and transcriptomic analyses during these developmental stages enhances our understanding of the molecular mechanisms underlying primary hair follicle development and offers valuable insights for sustainable utilization of high-quality germplasm resources.</div></div>","PeriodicalId":16891,"journal":{"name":"Journal of proteomics","volume":null,"pages":null},"PeriodicalIF":2.8,"publicationDate":"2024-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142442621","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Protein degradation patterns as biomarkers for post-mortem interval estimation: A comprehensive review of proteomic approaches in forensic science","authors":"Anjali Chhikara,&nbsp;Pallavi Kumari,&nbsp;Jyoti Dalal,&nbsp;Kiran Kumari","doi":"10.1016/j.jprot.2024.105326","DOIUrl":"10.1016/j.jprot.2024.105326","url":null,"abstract":"<div><div>The determination of post-mortem interval (PMI) is a critical process for forensic medical-legal investigations. Proteomic techniques are gaining prominence in analysing forensic biological samples. After death, studying the proteins present in human bodies could be critical in discovering important new biomarkers that can serve as reliable indicators of various factors. A literature review is conducted on estimating PMI through protein degradation analysis using PubMed, NCBI, SCOPUS, Research Gate, Science Direct, and Google Scholar. A total of 32 studies were identified and studied. It is found that the most commonly studied tissue type is the skeleton muscle (15 studies), followed by others. The kinetics of several proteins and proteases were particularly correlated with PMI. Different proteins degrade differently after death: alpha-actinin, GAPDH, and alpha-tubulin breakdown slowly, but meta-vinculin breaks down early. Tropomyosin does not change for a long time after death, up to 10 days. Certain markers had a positive correlation with PMI, meaning that their amount increased as PMI hours increased, while other markers showed a negative correlation, suggesting that their number decreased with time. The level of several biological markers, such as SERBP1, COX7B, and SOD2, changed gradually and consistently as the PMI increased. The information gathered from this analysis provides new opportunities for precise PMI measurements in legal contexts by expanding the research area's use in human skeletal tissue.</div></div>","PeriodicalId":16891,"journal":{"name":"Journal of proteomics","volume":null,"pages":null},"PeriodicalIF":2.8,"publicationDate":"2024-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142391348","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Dehydration priming remodels protein abundance and phosphorylation level regulating tolerance to subsequent dehydration or salt stress in creeping bentgrass","authors":"Huizhen Yang ,&nbsp;Yan Yuan ,&nbsp;Zhou Li","doi":"10.1016/j.jprot.2024.105325","DOIUrl":"10.1016/j.jprot.2024.105325","url":null,"abstract":"<div><div>Dehydration priming (DP) induces stress memory which plays a positive role in plant adaptability, but it is not well understood how DP differentially regulates subsequent dehydration (cis priming) or salt (trans priming) tolerance at the post-translational level. Purpose of this study was to identify proteins, phosphorylation levels and sites, and relevant metabolic pathways for DP-induced dehydration or salt tolerance in <em>Agrostis stolonifera</em>. DP-induced differentially regulated proteins (DRPs) were mostly located in the cytoplasm, chloroplast, and cell membrane, and differentially regulated phosphoproteins (DRPPs) were mostly nuclear proteins and cytoplasmic proteins. DP regulated common phosphorylation sites ([SP] and [RxxS]) under dehydration and salt conditions and also individually affected 8 or 11 phosphorylation sites under dehydration or salt stress. DP-regulated DRPPs were mainly rich in glycolysis and glutathione metabolism pathways, RNA splicing, and dynamin family proteins under dehydration stress, whereas DP-regulated salt tolerance was mainly related to chlorophyll metabolism, photosynthesis, MAPK signaling cascade, and ABC transporter I family at the phosphorylation level. In addition, the DP also significantly up-regulated phosphorylation of histones (ATXR3 and SETD1A) in response to subsequent dehydration and salt stress as well as abundances of antioxidant enzymes, dynamin family protein, and KCS6 under dehydration stress or abundances of PETE, HMGA, XTH, and ABCI6 under salt stress, respectively. Transcriptomics analysis further indicated that DP-regulated dehydration or salt tolerance was also related to transcriptional regulation in the early stage. Current results provided better understanding of the role of stress memory in plant adaptability to repeated or crossed stress via post-translational modifications (PTMs).</div></div><div><h3>Significance</h3><div>Recurrent moderate drought may buffer drought legacies in many plant species. When plants were exposed to repeated drought stress, their adaptability to subsequent stress could be enhanced, which is known as “stress memory”. Dehydration priming has been found to be an important approach to induce stress memory. Current results provided better understanding of the role of stress memory in plant adaptability to repeated or crossed stress via post-translational modifications.</div></div>","PeriodicalId":16891,"journal":{"name":"Journal of proteomics","volume":null,"pages":null},"PeriodicalIF":2.8,"publicationDate":"2024-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142381155","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Proteomic integrity of tape-stripped stratum corneum samples endures higher temperatures","authors":"Ali Azimi ,&nbsp;Lauren Faul ,&nbsp;Petrina Chand ,&nbsp;Pablo Fernandez-Penas","doi":"10.1016/j.jprot.2024.105329","DOIUrl":"10.1016/j.jprot.2024.105329","url":null,"abstract":"","PeriodicalId":16891,"journal":{"name":"Journal of proteomics","volume":null,"pages":null},"PeriodicalIF":2.8,"publicationDate":"2024-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142381156","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Integrated transcriptomic and proteomic analysis revealed the regulatory role of 5-azacytidine in kenaf salt stress alleviation","authors":"Dengjie Luo ,&nbsp;Zengqiang Li ,&nbsp;Samavia Mubeen ,&nbsp;Muzammal Rehman ,&nbsp;Shan Cao ,&nbsp;Caijin Wang ,&nbsp;Jiao Yue ,&nbsp;Jiao Pan ,&nbsp;Gang Jin ,&nbsp;Ru Li ,&nbsp;Tao Chen ,&nbsp;Peng Chen","doi":"10.1016/j.jprot.2024.105328","DOIUrl":"10.1016/j.jprot.2024.105328","url":null,"abstract":"<div><div>Salinity stress limits agricultural production. The DNA methyltransferase inhibitor, 5-azacitidine (5-azaC), plays a role in plant abiotic stress regulation, but its molecular basis in mediating salinity tolerance in kenaf remains unclear. To investigate the effects on 5-azaC on alleviating salt stress, kenaf seedlings were pre-treated with 0, 50, 100, 150, and 200 μM 5-azaC and then exposed to 150 mM NaCl in a nutrient solution. Physiological, transcriptomic, and proteomic analyses were conducted on the root system to understand the regulatory mechanism of 5-azaC (comparing 5-azaC150 and control group 5-azaC0) under salt stress. The results indicated that 5-azaC significantly mitigated salt stress in kenaf by activating the antioxidant system, reducing reactive oxygen species (ROS), and increasing starch, soluble sugars, and adenosine triphosphate (ATP) content. A total of 14,348 differentially expressed genes (DEGs) and 313 differentially abundant proteins (DAPs) were identified. Combined proteomic and transcriptomic analysis revealed 27 DEGs/DAPs, with jointly up-regulated proteins (genes) including <em>HcTHI1</em>, <em>HcBGLU11</em>, and <em>HcCBL1</em>, and jointly down-regulated proteins (genes) including <em>HcGAPDH</em>, <em>HcSS</em>, and <em>HcPP2C52</em>. Overexpression and virus-induced gene silencing (VIGS) of <em>HcPP2C52</em> demonstrated its role as a negative regulator of salt tolerance. These findings provide insights into the regulatory role of 5-azaC in plant responses to abiotic stresses.</div></div><div><h3>Significance</h3><div>The specific molecular mechanism by which 5-azaC affects gene expression and protein activity of kenaf has been revealed, leading to enhanced salt tolerance.</div></div>","PeriodicalId":16891,"journal":{"name":"Journal of proteomics","volume":null,"pages":null},"PeriodicalIF":2.8,"publicationDate":"2024-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142378028","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Characterizing Leishmania infantum-induced resistance to trivalent stibogluconate (SbIII) through deep proteomics","authors":"Adriana Castillo-Castañeda ,&nbsp;Luz H. Patiño ,&nbsp;Antonio Muro ,&nbsp;Julio López ,&nbsp;Raúl Manzano ,&nbsp;Juan David Ramírez","doi":"10.1016/j.jprot.2024.105323","DOIUrl":"10.1016/j.jprot.2024.105323","url":null,"abstract":"&lt;div&gt;&lt;div&gt;&lt;em&gt;Leishmania infantum&lt;/em&gt; belongs to the &lt;em&gt;L. donovani&lt;/em&gt; complex, which includes species associated with visceral leishmaniasis. Traditionally, antimonial compounds have served as the primary antiparasitic treatment for all clinical forms of leishmaniasis. However, the global spread of resistance to these compounds has posed a significant challenge in the treatment in some regions. In this study, we aimed to investigate resistance to trivalent sodium stibogluconate &lt;em&gt;in vitro&lt;/em&gt; using promastigotes from a wild strain of &lt;em&gt;L. infantum&lt;/em&gt;. We compared the growth rates and proteomic profiles of wild-type and resistant line conducting label-free quantitative mass spectrometry-based proteomic analyses. Statistical and bioinformatics analyses were employed to evaluate the significance of protein concentration changes, protein identity annotation, GO term analysis, biosynthetic pathways, and protein-protein interactions. Our findings revealed that the resistant line displayed a notable reduction in growth rate. Proteomic data unveiled similar protein concentrations per cell in both groups but with differing molecule copy numbers. We identified 165 proteins with increased concentration, these were associated with transcription and translation activities, lipid metabolism, energy metabolism, and peroxisome biogenesis. In the decreased protein groups were 56 proteins linked to metal acquisition and metabolism, particularly iron. These results suggest a novel perspective on antimonial resistance, highlighting the importance of post-transcriptional and post-translational regulation, alongside energy expenditure compensation and alterations in organelle membrane lipid composition in antimonial-resistant parasites. Overall, our study provides insights into the proteomic profile of stibogluconate-resistant strain, contributing to our general understanding of the complex landscape of antiparasitic resistance in &lt;em&gt;L. infantum&lt;/em&gt;.&lt;/div&gt;&lt;/div&gt;&lt;div&gt;&lt;h3&gt;Significance&lt;/h3&gt;&lt;div&gt;Species within the &lt;em&gt;Leishmania donovani&lt;/em&gt; complex are implicated in cases of visceral leishmaniasis in the world. &lt;em&gt;Leishmania infantum&lt;/em&gt; is a species that predominates in regions spanning the Mediterranean Basin, the Middle East, Central Asia, South and Central America. Antimonials were the first treatment for leishmaniasis, however in the last decades, the resistance has emerged in subregions like India, where it is not a therapeutic option. In contrast, sodium stibogluconate (SbIII) remains the first-line treatment in the Americas. Unfortunately, the emergence of resistance has outpaced the development of new therapeutic options, thereby becoming a critical point in the struggle against the disease. In this study we performed an in-depth proteomic analysis with liquid chromatography mass-mass spectrometry (LC-MS/MS) on &lt;em&gt;L. infantum&lt;/em&gt; with Sb-induced resistance &lt;em&gt;in vitro&lt;/em&gt;. Results showed a complex proteomic adaptation in the resistant line, ","PeriodicalId":16891,"journal":{"name":"Journal of proteomics","volume":null,"pages":null},"PeriodicalIF":2.8,"publicationDate":"2024-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142348954","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Exploration of potential drug targets for Glaucoma by plasma proteome screening","authors":"Zhiqi Wang ,&nbsp;Huanyu Zhou ,&nbsp;Fei Wang ,&nbsp;Haishan Huang","doi":"10.1016/j.jprot.2024.105324","DOIUrl":"10.1016/j.jprot.2024.105324","url":null,"abstract":"<div><h3>Background</h3><div>Glaucoma is the leading cause of irreversible blindness. However, the current available treatment methods are still unsatisfactory. Therefore, the exploration of new drug targets for the treatment of glaucoma is of paramount importance.</div></div><div><h3>Methods</h3><div>We conducted two-sample Mendelian randomization (MR) using plasma protein quantitative trait loci (pQTL) data from two datasets (<em>n</em> = 734, <em>n</em> = 4907) and their instrumental variables to investigate the causal relationship between plasma proteins and glaucoma. The analysis was validated by replacing the exposure and outcome cohorts. Additionally, we utilized protein-protein interaction networks to assess the associations between these potential drug targets and existing drug targets.</div></div><div><h3>Results</h3><div>Through two-sample Mendelian randomization analysis, we identified causal relationships between Glaucoma and the following proteins: AZU1, OBP2B, ENPP5, INPP5B, KREMEN1, LYPLAL1, and PTPRJ. External validation confirmed the protective effect of LYPLAL1 on Glaucoma, while ENPP5, KREMEN1, and PTPRJ increased the risk of Glaucoma. Reverse MR and Steiger filtering did not indicate any reverse causal associations of the aforementioned proteins with Glaucoma.</div></div><div><h3>Conclusion</h3><div>Our study demonstrates a causal impact of ENPP5, KREMEN1, PTPRJ, and LYPLAL1 on the risk of Glaucoma. These findings suggest that these four proteins may serve as promising drug targets for Glaucoma treatment.</div></div><div><h3>Significance</h3><div>Currently, the pharmacological treatment of glaucoma primarily focuses on lowering intraocular pressure, which has its limitations. Targeted therapy is a personalized treatment approach that aims to inhibit or block the development and progression of diseases such as cancer and inflammation by selectively acting on specific biomolecules or signaling pathways. Our research employs a two-sample Mendelian randomization (MR) method, integrating a large amount of GWAS and pQTL data to perform MR analysis. This has enabled us to explore several plasma proteins as potential drug targets for glaucoma, providing direction and a research foundation for future investigations into glaucoma drug targets.</div></div>","PeriodicalId":16891,"journal":{"name":"Journal of proteomics","volume":null,"pages":null},"PeriodicalIF":2.8,"publicationDate":"2024-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142348956","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Decoding the impact of neighboring amino acids on ESI-MS intensity output through deep learning","authors":"Naim Abdul-Khalek,&nbsp;Reinhard Wimmer,&nbsp;Michael Toft Overgaard,&nbsp;Simon Gregersen Echers","doi":"10.1016/j.jprot.2024.105322","DOIUrl":"10.1016/j.jprot.2024.105322","url":null,"abstract":"<div><div>Peptide-level quantification using mass spectrometry (MS) is no trivial task as the physicochemical properties affect both response and detectability. The specific amino acid (AA) sequence affects these properties, however the connection between sequence and intensity output remains poorly understood. In this work, we explore combinations of amino acid pairs (i.e., dimer motifs) to determine a potential relationship between the local amino acid environment and MS1 intensity. For this purpose, a deep learning (DL) model, consisting of an encoder-decoder with an attention mechanism, was built. The attention mechanism allowed to identify the most relevant motifs. Specific patterns were consistently observed where a bulky/aromatic and hydrophobic AA followed by a cationic AA as well as consecutive bulky/aromatic and hydrophobic AAs were found important for the prediction of the MS1 intensity. Correlating attention weights to mean MS1 intensities revealed that some important motifs, particularly containing Trp, His, and Cys, were linked with low responding peptides whereas motifs containing Lys and most bulky hydrophobic AAs were often associated with high responding peptides. Moreover, Asn-Gly was associated with low response. The model predicts MS1 response with a mean average percentage error of ∼11 % and a Pearson correlation coefficient of ∼0.64. While dimer representation of peptide sequences did not improve predictive capacity compared to single AA representation in earlier work, this work adds valuable insight for a better understanding of peptide response in MS analysis.</div></div><div><h3>Significance</h3><div>Mass spectrometry is not inherently quantitative, and the response of a compound relies not only on its concentration but also on the molecular composition. For mass spectrometry-based analysis of peptides, such as in bottom-up proteomics, this directly implies that the response cannot be used directly to quantify individual peptides. Moreover, the dependency of the response on the amino acid sequence of individual peptides remains poorly understood. Using a deep learning model based on a recurrent neural network with an attention mechanism, we here investigate how the presence of dimer motifs within a peptide affects the MS1 response through the analysis of intended equimolar peptide pools comprising almost 200,000 unique peptides in total. Not only do we identify certain dimer classes and specific dimers that substantially affect the MS1 response, but the model is also able to predict peptide intensity with low error rates within the independent test subset. The findings not only improve our understanding of the link between sequence and response for peptides but also highlight the potential of utilizing deep learning for developing methods allowing for absolute, label-free peptide quantification.</div></div>","PeriodicalId":16891,"journal":{"name":"Journal of proteomics","volume":null,"pages":null},"PeriodicalIF":2.8,"publicationDate":"2024-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142348955","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Circulating proteomic profiles in women with morbid obesity compared to normal-weight women","authors":"Laia Bertran ,&nbsp;Elena Cristina Rusu ,&nbsp;Maria Guirro ,&nbsp;Carmen Aguilar ,&nbsp;Teresa Auguet ,&nbsp;Cristóbal Richart","doi":"10.1016/j.jprot.2024.105317","DOIUrl":"10.1016/j.jprot.2024.105317","url":null,"abstract":"<div><div>In this study, we aimed to evaluate circulating proteomic levels in women with morbid obesity (MO) compared to normal-weight (NW) women. Moreover, we have compared the proteomic profile between women with metabolically healthy (MH) MO and those with type 2 diabetes mellitus (T2DM). The study included 66 normal-weight (NW) women and 129 women with MO (54 MH and 75 with T2DM). Blood samples were processed for proteomics, involving protein extraction, quantification, digestion with peptide labelling and Nano (liquid chromatography (LC)-(Orbitrap) coupled to mass/mass spectrometry (MS/MS) analysis. Statistical analyses were performed. We identified 257 proteins. Women with MO showed significantly increased levels of 35 proteins and decreased levels of 45 proteins compared to NW women. Enrichment analysis of metabolic pathways revealed significant findings. Women with MO have an altered proteomic profile compared to normal-weight women, involving proteins significantly related to chylomicron assembly, complement cascade, clotting pathways and the insulin growth factor system. Regarding women with MO and T2DM compared to MHMO women, the proteomic profile shows alterations in mostly the same pathways associated with obesity. These findings confirmed in previous reports can help us better understand the pathophysiology of obesity and associated diseases.</div></div><div><h3>Significance</h3><div>Women with morbid obesity (MO) exhibit substantial proteomic alterations compared to normal-weight (NW) women, involving 80 proteins. These alterations are linked to significant metabolic pathways, including chylomicron assembly, complement cascade, clotting pathways and the insulin growth factor system. Additionally, women with MO and type 2 diabetes mellitus (T2DM) compared to metabolically healthy MO women share similar proteomic changes than the first comparison. These findings enhance our understanding of the pathophysiology of obesity and associated diseases, offering potential targets for therapeutic intervention.</div></div>","PeriodicalId":16891,"journal":{"name":"Journal of proteomics","volume":null,"pages":null},"PeriodicalIF":2.8,"publicationDate":"2024-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1874391924002495/pdfft?md5=63f97b9b5a83a76995d04947f1193d36&pid=1-s2.0-S1874391924002495-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142289774","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Taxonomic identification of Morocco scorpions using MALDI-MS fingerprints of venom proteomes and computational modeling","authors":"Boujemaa Ajdi ,&nbsp;Moulay Abdelmonaim El Hidan ,&nbsp;Abdelhafed El Asbahani ,&nbsp;Michel Bocquet ,&nbsp;Mohamed Ait Hamza ,&nbsp;M'barka Elqdhy ,&nbsp;Abdessamad Elmourid ,&nbsp;Oulaid Touloun ,&nbsp;Hassan Boubaker ,&nbsp;Philippe Bulet","doi":"10.1016/j.jprot.2024.105321","DOIUrl":"10.1016/j.jprot.2024.105321","url":null,"abstract":"<div><div>The venom of scorpions has been the subject of numerous studies. However, their taxonomic identification is not a simple task, leading to misidentifications. This study aims to provide a practical approach for identifying scorpions based on the venom molecular mass fingerprint (MFP). Specimens (251) belonging to fifteen species were collected from different regions in Morocco. Their MFPs were acquired using MALDI-MS. These were used as a training dataset to generate predictive models and a library of mean spectral profiles using software programs based on machine learning. The computational model achieved an overall recognition capability of 99 % comprising 32 molecular signatures. The models and the library were tested using a new dataset for external validation and to evaluate their capability of identification. We recorded an accuracy classification with an average of 97 % and 98 % for the computational models and the library, respectively. To our knowledge, this is the first attempt to demonstrate the potential of MALDI-MS and MFPs to generate predictive models capable of discriminating scorpions from family to species levels, and to build a library of species-specific spectra. These promising results may represent a proof of concept towards developing a reliable approach for rapid molecular identification of scorpions in Morocco.</div></div><div><h3>Significance of the study</h3><div>With their clinical importance, scorpions may constitute a desirable study model for many researchers. The first step in studying scorpion is systematically identifying the species of interest. However, it can be a difficult task, especially for the non-experts. The taxonomy of scorpions is primarily based on morphometric characters. In Morocco, the high number of species and subspecies mainly endemic, and the morphological similarities between different species may result in false identifications. This was observed in many reports according to the scorpion experts. In this study, we describe a reliable practical approach for identifying scorpions based on the venom molecular mass fingerprints (MFPs). By using two software programs based on machine learning, we have demonstrated that these MFPs contains sufficient inter-specific variation to differentiate between the scorpion species mentioned in this study with a good accuracy. Using a drop of venom, this new approach could be a rapid, accurate and cost saving method for taxonomic identification of scorpions in Morocco.</div></div>","PeriodicalId":16891,"journal":{"name":"Journal of proteomics","volume":null,"pages":null},"PeriodicalIF":2.8,"publicationDate":"2024-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142289776","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}