Inferring evolutionary relationships among organisms has been a fundamental problem in evolutionary biology. The current phylogenetic molecular methods serve as the baseline model to test new evolutionary hypotheses with taxonomic purposes. Leishmaniinae trypanosomatids subfamily includes protozoan parasites of clinical importance to humans. They have an intricate taxonomic history defined by morphological elements, host range, and molecular phylogenies. Unraveling the increasing diversity of this group has shown limitations in reconstructing the true evolutionary relationships among Trypanosomatidae species. Toward the goal of inferring evolutionary relationships that help to resolve phylogenetic and taxonomic controversies among parasites of the subfamily Leishmaniinae, Mule et al. propose the method PhyloQuant as a valuable approach, based on differential protein expression obtained from high throughput mass spectrometry data. Employing a pioneering methodological approach, Mule et al. assess the taxonomic problem for species hypothesis within Leishmaniinae, from quantitative phenetic protein expression profiles, in contrast to the standard multilocus phylogenetic approaches.
{"title":"On the PhyloQuant protein expression profiles approach to the taxonomic problem","authors":"Ayixon Sánchez Reyes, Cesar Ayala-Ruan","doi":"10.1002/pmic.202400117","DOIUrl":"10.1002/pmic.202400117","url":null,"abstract":"<p>Inferring evolutionary relationships among organisms has been a fundamental problem in evolutionary biology. The current phylogenetic molecular methods serve as the baseline model to test new evolutionary hypotheses with taxonomic purposes. <i>Leishmaniinae</i> trypanosomatids subfamily includes protozoan parasites of clinical importance to humans. They have an intricate taxonomic history defined by morphological elements, host range, and molecular phylogenies. Unraveling the increasing diversity of this group has shown limitations in reconstructing the true evolutionary relationships among <i>Trypanosomatidae</i> species. Toward the goal of inferring evolutionary relationships that help to resolve phylogenetic and taxonomic controversies among parasites of the subfamily <i>Leishmaniinae</i>, Mule et al. propose the method PhyloQuant as a valuable approach, based on differential protein expression obtained from high throughput mass spectrometry data. Employing a pioneering methodological approach, Mule et al. assess the taxonomic problem for species hypothesis within <i>Leishmaniinae</i>, from quantitative phenetic protein expression profiles, in contrast to the standard multilocus phylogenetic approaches.</p>","PeriodicalId":224,"journal":{"name":"Proteomics","volume":null,"pages":null},"PeriodicalIF":3.4,"publicationDate":"2024-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/pmic.202400117","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141987016","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Arterial thrombosis contributes to some of the most frequent causes of mortality globally, such as myocardial infarction and stroke. Platelets are essential mediators of physiological haemostasis and pathological thrombosis. Platelet activation is controlled by a multitude of signalling pathways. Upon activation, platelets shed platelet-derived extracellular vesicles (pEVs). In this Special Issue: Extracellular Vesicles, Moon et al. investigate the impact of various platelet agonists (thrombin, ADP, collagen) on the proteome of pEVs. The study demonstrates that pEVs exhibit an agonist-dependent altered proteome compared to their parent cells, with significant variations in proteins related to coagulation, complement, and platelet activation. The study observes the rapid generation of pEVs following agonist stimulation with specific proteome alterations that underscore an active packaging process. This commentary highlights the implications of their findings and discusses the role of pEV cargo in cardiovascular disease with potential novel therapeutic and diagnostic opportunities.
{"title":"Differential effects of physiological agonists on the proteome of platelet-derived extracellular vesicles","authors":"Clemens Gutmann, Manuel Mayr","doi":"10.1002/pmic.202400090","DOIUrl":"10.1002/pmic.202400090","url":null,"abstract":"<p>Arterial thrombosis contributes to some of the most frequent causes of mortality globally, such as myocardial infarction and stroke. Platelets are essential mediators of physiological haemostasis and pathological thrombosis. Platelet activation is controlled by a multitude of signalling pathways. Upon activation, platelets shed platelet-derived extracellular vesicles (pEVs). In this Special Issue: Extracellular Vesicles, Moon et al. investigate the impact of various platelet agonists (thrombin, ADP, collagen) on the proteome of pEVs. The study demonstrates that pEVs exhibit an agonist-dependent altered proteome compared to their parent cells, with significant variations in proteins related to coagulation, complement, and platelet activation. The study observes the rapid generation of pEVs following agonist stimulation with specific proteome alterations that underscore an active packaging process. This commentary highlights the implications of their findings and discusses the role of pEV cargo in cardiovascular disease with potential novel therapeutic and diagnostic opportunities.</p>","PeriodicalId":224,"journal":{"name":"Proteomics","volume":null,"pages":null},"PeriodicalIF":3.4,"publicationDate":"2024-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/pmic.202400090","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141987015","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Hao, L., Zhou, X., Liu, S., Sun, M., Song, Y., Du, S., Sun, B., Guo, C., Gong, L., Hu, J., Guan, H., Shao, S. (2015). Elevated GAPDH expression is associated with the proliferation and invasion of lung and esophageal squamous cell carcinomas, Proteomics, 15(17), 3087–3100. https://doi.org/10.1002/pmic.201400577
The above article, published online on May 6, 2015 in Wiley Online Library (wileyonlinelibrary.com), and a corresponding correction (https://doi.org/10.1002/pmic.202070084; published May 25, 2020) have been retracted by agreement between the journal Editor-in-Chief, Lucie Kalvodova; and Wiley-VCH GmbH, Weinheim. The retraction has been agreed following concerns raised by the authors; the same shVector panel was used in two of the figures, suggesting the same control data was used for different experiments.
{"title":"RETRACTION: Elevated GAPDH expression is associated with the proliferation and invasion of lung and esophageal squamous cell carcinomas","authors":"","doi":"10.1002/pmic.202470125","DOIUrl":"10.1002/pmic.202470125","url":null,"abstract":"<p>Hao, L., Zhou, X., Liu, S., Sun, M., Song, Y., Du, S., Sun, B., Guo, C., Gong, L., Hu, J., Guan, H., Shao, S. (2015). Elevated GAPDH expression is associated with the proliferation and invasion of lung and esophageal squamous cell carcinomas, <i>Proteomics</i>, <i>15</i>(17), 3087–3100. https://doi.org/10.1002/pmic.201400577</p><p>The above article, published online on May 6, 2015 in Wiley Online Library (wileyonlinelibrary.com), and a corresponding correction (https://doi.org/10.1002/pmic.202070084; published May 25, 2020) have been retracted by agreement between the journal Editor-in-Chief, Lucie Kalvodova; and Wiley-VCH GmbH, Weinheim. The retraction has been agreed following concerns raised by the authors; the same shVector panel was used in two of the figures, suggesting the same control data was used for different experiments.</p>","PeriodicalId":224,"journal":{"name":"Proteomics","volume":null,"pages":null},"PeriodicalIF":3.4,"publicationDate":"2024-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/pmic.202470125","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141987017","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
RETRACTION: I. Popova, E. Savelyeva, T. Degtyarevskaya, D. Babaskin, and A. Vokhmintsev, “Evaluation of Proteome Dynamics: Implications for Statistical Confidence in Mass Spectrometric Determination,” Proteomics 24, no. 14 (2024): 2300351, https://doi.org/10.1002/pmic.202300351.
The above article, published online on 03 May 2024 in Wiley Online Library (wileyonlinelibrary.com), has been retracted by agreement between the journal Editor-in-Chief, Lucie Kalvodova; and Wiley-VCH GmbH. The retraction has been agreed due to a major unattributed overlap between the figures and figure legends of this article (Figures 2–7) and another article previously published elsewhere by a different group of authors [1]. Such publishing practice is against the journal's policy and Wiley's Best Practice Guidelines on Research Integrity and Publishing Ethics. The co-authors, I. Popova, T. Degtyarevskaya, D. Babaskin, and A. Vokhmintsev stated that they did not participate in the writing and submission of the article and gave no consent for publication. E. Savelyeva remained unresponsive.
REFERENCES
1. H. Boekweg, A. J. Guise, E. D. Plowey, R. T. Kelly, and S. Payne, “Calculating Sample Size Requirements for Temporal Dynamics in Single-Cell Proteomics,” Molecular & Cellular Proteomics 20, (2021): 100085, https://doi.org/10.1016/j.mcpro.2021.100085.
撤回:I. Popova, E. Savelyeva, T. Degtyarevskaya, D. Babaskin, & A. Vokhmintsev (2024).蛋白质组动态评估:对质谱测定统计置信度的影响》。Proteomics, 24(14), 2300351. https://doi.org/10.1002/pmic.202300351 上述文章于 2024 年 5 月 3 日在线发表于 Wiley Online Library (wileyonlinelibrary.com),经杂志主编 Lucie Kalvodova 和 Wiley-VCH GmbH 协议,该文章已被撤回。同意撤稿的原因是这篇文章(图 2-7)的图和图例与之前由另一组作者在其他地方发表的另一篇文章[1]存在严重的未署名重叠。这种出版行为违反了期刊政策和 Wiley 的《研究诚信与出版伦理最佳实践指南》。共同作者 I. Popova、T. Degtyarevskaya、D. Babaskin 和 A. Vokhmintsev 声明他们没有参与文章的撰写和提交,也没有同意发表。E. 萨韦列耶娃仍未回复。参考文献 Boekweg, H., Guise, A. J., Plowey, E. D., Kelly, R. T., & Payne, S. (2021).计算单细胞蛋白质组学中时间动态的样本量要求。Molecular & Cellular Proteomics, 20, 100085. https://doi.org/10.1016/j.mcpro.2021.100085.
{"title":"RETRACTION: Evaluation of Proteome Dynamics: Implications for Statistical Confidence in Mass Spectrometric Determination","authors":"","doi":"10.1002/pmic.202470135","DOIUrl":"10.1002/pmic.202470135","url":null,"abstract":"<p><b>RETRACTION</b>: I. Popova, E. Savelyeva, T. Degtyarevskaya, D. Babaskin, and A. Vokhmintsev, “Evaluation of Proteome Dynamics: Implications for Statistical Confidence in Mass Spectrometric Determination,” <i>Proteomics</i> 24, no. 14 (2024): 2300351, https://doi.org/10.1002/pmic.202300351.</p><p>The above article, published online on 03 May 2024 in Wiley Online Library (wileyonlinelibrary.com), has been retracted by agreement between the journal Editor-in-Chief, Lucie Kalvodova; and Wiley-VCH GmbH. The retraction has been agreed due to a major unattributed overlap between the figures and figure legends of this article (Figures 2–7) and another article previously published elsewhere by a different group of authors [1]. Such publishing practice is against the journal's policy and Wiley's Best Practice Guidelines on Research Integrity and Publishing Ethics. The co-authors, I. Popova, T. Degtyarevskaya, D. Babaskin, and A. Vokhmintsev stated that they did not participate in the writing and submission of the article and gave no consent for publication. E. Savelyeva remained unresponsive.</p><p><b>REFERENCES</b></p><p>1. H. Boekweg, A. J. Guise, E. D. Plowey, R. T. Kelly, and S. Payne, “Calculating Sample Size Requirements for Temporal Dynamics in Single-Cell Proteomics,” <i>Molecular & Cellular Proteomics</i> 20, (2021): 100085, https://doi.org/10.1016/j.mcpro.2021.100085.</p>","PeriodicalId":224,"journal":{"name":"Proteomics","volume":null,"pages":null},"PeriodicalIF":3.4,"publicationDate":"2024-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/pmic.202470135","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141987014","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Miguel Cosenza-Contreras, Adrianna Seredynska, Daniel Vogele, Niko Pinter, Eva Brombacher, Ruth Fiestas Cueto, Thien-Ly Julia Dinh, Patrick Bernhard, Manuel Rogg, Junwei Liu, Patrick Willems, Simon Stael, Pitter F. Huesgen, E. Wolfgang Kuehn, Clemens Kreutz, Christoph Schell, Oliver Schilling
State-of-the-art mass spectrometers combined with modern bioinformatics algorithms for peptide-to-spectrum matching (PSM) with robust statistical scoring allow for more variable features (i.e., post-translational modifications) being reliably identified from (tandem-) mass spectrometry data, often without the need for biochemical enrichment. Semi-specific proteome searches, that enforce a theoretical enzymatic digestion to solely the N- or C-terminal end, allow to identify of native protein termini or those arising from endogenous proteolytic activity (also referred to as “neo-N-termini” analysis or “N-terminomics”). Nevertheless, deriving biological meaning from these search outputs can be challenging in terms of data mining and analysis. Thus, we introduce TermineR, a data analysis approach for the (1) annotation of peptides according to their enzymatic cleavage specificity and known protein processing features, (2) differential abundance and enrichment analysis of N-terminal sequence patterns, and (3) visualization of neo-N-termini location. We illustrate the use of TermineR by applying it to tandem mass tag (TMT)-based proteomics data of a mouse model of polycystic kidney disease, and assess the semi-specific searches for biological interpretation of cleavage events and the variable contribution of proteolytic products to general protein abundance. The TermineR approach and example data are available as an R package at https://github.com/MiguelCos/TermineR.
最先进的质谱仪与现代生物信息学算法相结合,利用强大的统计评分功能进行肽谱匹配(PSM),可以从(串联)质谱数据中可靠地识别出更多可变特征(即翻译后修饰),通常无需进行生化富集。半特异性蛋白质组搜索只对 N 端或 C 端进行理论上的酶解,可识别原生蛋白质末端或由内源性蛋白水解活动产生的蛋白质末端(也称为 "新 N 端 "分析或 "N 端组学")。然而,要从这些搜索结果中得出生物学意义,在数据挖掘和分析方面具有挑战性。因此,我们引入了 TermineR,这是一种数据分析方法,用于(1)根据酶裂解特异性和已知蛋白质加工特征对肽段进行注释,(2)对 N 端序列模式进行差异丰度和富集分析,以及(3)对新 N 端位置进行可视化。我们将 TermineR 应用于基于串联质量标签 (TMT) 的多囊肾小鼠模型蛋白质组学数据,以此说明 TermineR 的用途,并评估半特异性搜索对裂解事件的生物学解释以及蛋白水解产物对一般蛋白质丰度的不同贡献。TermineR方法和示例数据作为R软件包可在https://github.com/MiguelCos/TermineR。
{"title":"TermineR: Extracting information on endogenous proteolytic processing from shotgun proteomics data","authors":"Miguel Cosenza-Contreras, Adrianna Seredynska, Daniel Vogele, Niko Pinter, Eva Brombacher, Ruth Fiestas Cueto, Thien-Ly Julia Dinh, Patrick Bernhard, Manuel Rogg, Junwei Liu, Patrick Willems, Simon Stael, Pitter F. Huesgen, E. Wolfgang Kuehn, Clemens Kreutz, Christoph Schell, Oliver Schilling","doi":"10.1002/pmic.202300491","DOIUrl":"10.1002/pmic.202300491","url":null,"abstract":"<p>State-of-the-art mass spectrometers combined with modern bioinformatics algorithms for peptide-to-spectrum matching (PSM) with robust statistical scoring allow for more variable features (i.e., post-translational modifications) being reliably identified from (tandem-) mass spectrometry data, often without the need for biochemical enrichment. Semi-specific proteome searches, that enforce a theoretical enzymatic digestion to solely the N- or C-terminal end, allow to identify of native protein termini or those arising from endogenous proteolytic activity (also referred to as “neo-N-termini” analysis or “N-terminomics”). Nevertheless, deriving biological meaning from these search outputs can be challenging in terms of data mining and analysis. Thus, we introduce <i>TermineR</i>, a data analysis approach for the (1) annotation of peptides according to their enzymatic cleavage specificity and known protein processing features, (2) differential abundance and enrichment analysis of N-terminal sequence patterns, and (3) visualization of neo-N-termini location. We illustrate the use of <i>TermineR</i> by applying it to tandem mass tag (TMT)-based proteomics data of a mouse model of polycystic kidney disease, and assess the semi-specific searches for biological interpretation of cleavage events and the variable contribution of proteolytic products to general protein abundance. The <i>TermineR</i> approach and example data are available as an R package at https://github.com/MiguelCos/TermineR.</p>","PeriodicalId":224,"journal":{"name":"Proteomics","volume":null,"pages":null},"PeriodicalIF":3.4,"publicationDate":"2024-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/pmic.202300491","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141910947","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Roxane L. Degroote, Adrian Schmalen, Simone Renner, Eckhard Wolf, Stefanie M. Hauck, Cornelia A. Deeg
INSC94Y transgenic pigs represent a model for mutant insulin gene-induced diabetes of youth, with impaired insulin secretion and beta cell loss, leading to elevated fasting blood glucose levels. A key complication of diabetes mellitus is diabetic retinopathy (DR), characterized by hyperglycemia-induced abnormalities in the retina. Adjacent to the retina lies the vitreous, a gelatinous matrix vital for ocular function. It harbors proteins and signaling molecules, offering insights into vitreous biology and ocular health. Moreover, as a reservoir for secreted molecules, the vitreous illuminates molecular processes within intraocular structures, especially under pathological conditions. To uncover the proteomic profile of porcine vitreous and explore its relevance to DR, we employed discovery proteomics to compare vitreous samples from INSC94Y transgenic pigs and wild-type controls. Our analysis identified 1404 proteins, with 266 showing differential abundance in INSC94Y vitreous. Notably, the abundances of ITGB1, COX2, and GRIFIN were significantly elevated in INSC94Y vitreous. Gene Set Enrichment Analysis unveiled heightened MYC and mTORC1 signaling in INSC94Y vitreous, shedding light on its biological significance in diabetes-associated ocular pathophysiology. These findings deepen our understanding of vitreous involvement in DR and provide valuable insights into potential therapeutic targets. Raw data are accessible via ProteomeXchange (PXD038198).
{"title":"Diabetic retinopathy from the vitreous proteome perspective: The INSC94Y transgenic pig model study","authors":"Roxane L. Degroote, Adrian Schmalen, Simone Renner, Eckhard Wolf, Stefanie M. Hauck, Cornelia A. Deeg","doi":"10.1002/pmic.202300591","DOIUrl":"10.1002/pmic.202300591","url":null,"abstract":"<p><i>INS</i><sup>C94Y</sup> transgenic pigs represent a model for mutant insulin gene-induced diabetes of youth, with impaired insulin secretion and beta cell loss, leading to elevated fasting blood glucose levels. A key complication of diabetes mellitus is diabetic retinopathy (DR), characterized by hyperglycemia-induced abnormalities in the retina. Adjacent to the retina lies the vitreous, a gelatinous matrix vital for ocular function. It harbors proteins and signaling molecules, offering insights into vitreous biology and ocular health. Moreover, as a reservoir for secreted molecules, the vitreous illuminates molecular processes within intraocular structures, especially under pathological conditions. To uncover the proteomic profile of porcine vitreous and explore its relevance to DR, we employed discovery proteomics to compare vitreous samples from <i>INS</i><sup>C94Y</sup> transgenic pigs and wild-type controls. Our analysis identified 1404 proteins, with 266 showing differential abundance in <i>INS</i><sup>C94Y</sup> vitreous. Notably, the abundances of ITGB1, COX2, and GRIFIN were significantly elevated in <i>INS</i><sup>C94Y</sup> vitreous. Gene Set Enrichment Analysis unveiled heightened MYC and mTORC1 signaling in <i>INS</i><sup>C94Y</sup> vitreous, shedding light on its biological significance in diabetes-associated ocular pathophysiology. These findings deepen our understanding of vitreous involvement in DR and provide valuable insights into potential therapeutic targets. Raw data are accessible via ProteomeXchange (PXD038198).</p>","PeriodicalId":224,"journal":{"name":"Proteomics","volume":null,"pages":null},"PeriodicalIF":3.4,"publicationDate":"2024-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/pmic.202300591","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141910946","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}