Expert Review of Proteomics最新文献_第5页

Quantitative analysis of proteostasis networks: are there applications for dementia? 蛋白稳态网络定量分析：是否适用于痴呆症？

IF 3.4 3区生物学

Expert Review of Proteomics Pub Date : 2024-01-01 Epub Date: 2024-02-23 DOI: 10.1080/14789450.2024.2320807

Daniel B McClatchy

引用次数: 0

The method developer's guide to oligonucleotide design. 方法开发人员的寡核苷酸设计指南。

IF 3.4 3区生物学

Expert Review of Proteomics Pub Date : 2024-01-01 Epub Date: 2024-02-16 DOI: 10.1080/14789450.2024.2318565

Leonie Wenson, Mattias Leino, Malin Jarvius, Johan Heldin, Björn Koos, Ola Söderberg

引用次数: 0

How can proteomics be incorporated into the management of atrial fibrillation? 如何将蛋白质组学纳入心房颤动的治疗中？

IF 3.4 3区生物学

Expert Review of Proteomics Pub Date : 2024-01-01 Epub Date: 2024-01-30 DOI: 10.1080/14789450.2024.2312099

Haiyu Zhang, Jing Shi

引用次数: 0

Recent advances in mass spectrometry for the detection of doping. 质谱法检测兴奋剂的最新进展。

IF 3.4 3区生物学

Expert Review of Proteomics Pub Date : 2024-01-01 Epub Date: 2024-01-17 DOI: 10.1080/14789450.2024.2305432

Andreas Thomas, Mario Thevis

{"title":"Recent advances in mass spectrometry for the detection of doping.","authors":"Andreas Thomas, Mario Thevis","doi":"10.1080/14789450.2024.2305432","DOIUrl":"10.1080/14789450.2024.2305432","url":null,"abstract":"Introduction: The analysis of doping control samples is preferably performed by mass spectrometry, because obtained results meet the highest analytical standards and ensure an impressive degree of reliability. The advancement in mass spectrometry and all its associated technologies thus allow for continuous improvements in doping control analysis.Areas covered: Modern mass spectrometric systems have reached a status of increased sensitivity, robustness, and specificity within the last decade. The improved sensitivity in particular has, on the other hand, also led to the detection of drug residues that were attributable to scenarios where the prohibited substances were not administered consciously but rather by the unconscious ingestion of or exposure to contaminated products. These scenarios and their doubtless clarification represent a great challenge. Here, too, modern MS systems and their applications can provide good insights in the interpretation of dose-related metabolism of prohibited substances. In addition to the development of new instruments itself, software-assisted analysis of the sometimes highly complex data is playing an increasingly important role and facilitating the work of doping control laboratories.Expert opinion: The sensitive analysis and evaluation of a higher number of samples in a shorter time is made possible by the ongoing developments in mass spectrometry.","PeriodicalId":50463,"journal":{"name":"Expert Review of Proteomics","volume":" ","pages":"27-39"},"PeriodicalIF":3.4,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139425907","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The role of proteomics in acute pancreatitis: new and old knowledge. 蛋白质组学在急性胰腺炎中的作用：新旧知识。

IF 3.4 3区生物学

Expert Review of Proteomics Pub Date : 2024-01-01 Epub Date: 2024-02-23 DOI: 10.1080/14789450.2024.2320810

Peng Ge, Yalan Luo, Guixin Zhang, Hailong Chen

{"title":"The role of proteomics in acute pancreatitis: new and old knowledge.","authors":"Peng Ge, Yalan Luo, Guixin Zhang, Hailong Chen","doi":"10.1080/14789450.2024.2320810","DOIUrl":"10.1080/14789450.2024.2320810","url":null,"abstract":"Introduction: Around 20% of individuals diagnosed with acute pancreatitis (AP) may develop severe acute pancreatitis (SAP), possibly resulting in a mortality rate ranging from 15% to 35%. There is an urgent need to thoroughly understand the molecular phenotypes of SAP resulting from diverse etiologies. The field of translational research on AP has seen the use of several innovative proteomic methodologies via the ongoing improvement of isolation, tagging, and quantification methods.Areas covered: This paper provides a comprehensive overview of differentially abundant proteins (DAPs) identified in AP by searching the PubMed/MEDLINE database (2003-2023) and adds significantly to the current theoretical framework.Expert opinion: DAPs for potentially diagnosing AP based on proteomic identification need to be confirmed by multi-center studies that include larger samples. The discovery of DAPs in various organs at different AP stages via proteomic technologies is essential better to understand the pathophysiology of AP-related multiple organ dysfunction syndrome. Regarding the translational research of AP, novel approaches like single-cell proteomics and imaging using mass spectrometry may be used as soon as they become available.","PeriodicalId":50463,"journal":{"name":"Expert Review of Proteomics","volume":" ","pages":"115-123"},"PeriodicalIF":3.4,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139900823","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Mapping the human brain proteome: opportunities, challenges, and clinical potential. 绘制人脑蛋白质组图谱：机遇、挑战和临床潜力。

IF 3.4 3区生物学

Expert Review of Proteomics Pub Date : 2024-01-01 Epub Date: 2024-02-05 DOI: 10.1080/14789450.2024.2313073

Paz Cartas-Cejudo, Adriana Cortés, Mercedes Lachén-Montes, Elena Anaya-Cubero, Erika Peral, Karina Ausín, Ramón Díaz-Peña, Joaquín Fernández-Irigoyen, Enrique Santamaría

{"title":"Mapping the human brain proteome: opportunities, challenges, and clinical potential.","authors":"Paz Cartas-Cejudo, Adriana Cortés, Mercedes Lachén-Montes, Elena Anaya-Cubero, Erika Peral, Karina Ausín, Ramón Díaz-Peña, Joaquín Fernández-Irigoyen, Enrique Santamaría","doi":"10.1080/14789450.2024.2313073","DOIUrl":"10.1080/14789450.2024.2313073","url":null,"abstract":"Introduction: Due to the segmented functions and complexity of the human brain, the characterization of molecular profiles within specific areas such as brain structures and biofluids is essential to unveil the molecular basis for structure specialization as well as the molecular imbalance associated with neurodegenerative and psychiatric diseases.Areas covered: Much of our knowledge about brain functionality derives from neurophysiological, anatomical, and transcriptomic approaches. More recently, laser capture and imaging proteomics, technological and computational developments in LC-MS/MS, as well as antibody/aptamer-based platforms have allowed the generation of novel cellular, spatial, and posttranslational dimensions as well as innovative facets in biomarker validation and druggable target identification.Expert opinion: Proteomics is a powerful toolbox to functionally characterize, quantify, and localize the extensive protein catalog of the human brain across physiological and pathological states. Brain function depends on multi-dimensional protein homeostasis, and its elucidation will help us to characterize biological pathways that are essential to properly maintain cognitive functions. In addition, comprehensive human brain pathological proteomes may be the basis in computational drug-repositioning methods as a strategy for unveiling potential new therapies in neurodegenerative and psychiatric disorders.","PeriodicalId":50463,"journal":{"name":"Expert Review of Proteomics","volume":" ","pages":"55-63"},"PeriodicalIF":3.4,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139652080","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Deciphering a proteomic signature for the early detection of breast cancer from breast milk: the role of quantitative proteomics. 从母乳中解读早期检测乳腺癌的蛋白质组特征：定量蛋白质组学的作用。

IF 3.8 3区生物学

Expert Review of Proteomics Pub Date : 2024-01-01 Epub Date: 2024-02-23 DOI: 10.1080/14789450.2024.2320158

Danielle Whitham, Pathea Bruno, Norman Haaker, Kathleen F Arcaro, Brian T Pentecost, Costel C Darie

{"title":"Deciphering a proteomic signature for the early detection of breast cancer from breast milk: the role of quantitative proteomics.","authors":"Danielle Whitham, Pathea Bruno, Norman Haaker, Kathleen F Arcaro, Brian T Pentecost, Costel C Darie","doi":"10.1080/14789450.2024.2320158","DOIUrl":"10.1080/14789450.2024.2320158","url":null,"abstract":"Introduction: Breast cancer is one of the most prevalent cancers among women in the United States. Current research regarding breast milk has been focused on the composition and its role in infant growth and development. There is little information about the proteins, immune cells, and epithelial cells present in breast milk which can be indicative of the emergence of BC cells and tumors.Areas covered: We summarize all breast milk studies previously done in our group using proteomics. These studies include 1D-PAGE and 2D-PAGE analysis of breast milk samples, which include within woman and across woman comparisons to identify dysregulated proteins in breast milk and the roles of these proteins in both the development of BC and its diagnosis. Our projected outlook for the use of milk for cancer detection is also discussed.Expert opinion: Analyzing the samples by multiple methods allows one to interrogate a set of samples with various biochemical methods that complement each other, thus providing a more comprehensive proteome. Complementing methods like 1D-PAGE, 2D-PAGE, in-solution digestion and proteomics analysis with PTM-omics, peptidomics, degradomics, or interactomics will provide a better understanding of the dysregulated proteins, but also the modifications or interactions between these proteins.","PeriodicalId":50463,"journal":{"name":"Expert Review of Proteomics","volume":" ","pages":"81-98"},"PeriodicalIF":3.8,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11694492/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139906789","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Genetic signatures of suicide attempt behavior: insights and applications. 自杀未遂行为的基因特征：见解与应用。

IF 3.4 3区生物学

Expert Review of Proteomics Pub Date : 2024-01-01 Epub Date: 2024-02-08 DOI: 10.1080/14789450.2024.2314143

Antonio Drago

{"title":"Genetic signatures of suicide attempt behavior: insights and applications.","authors":"Antonio Drago","doi":"10.1080/14789450.2024.2314143","DOIUrl":"10.1080/14789450.2024.2314143","url":null,"abstract":"Introduction: Every year about 800,000 complete suicide events occur. The identification of biologic markers to identify subjects at risk would be helpful in targeting specific support treatments.Area covered: A narrative review defines the meta-analytic level of current evidence about the biologic markers of suicide behavior (SB). The meta-analytic evidence gathered so far indicates that the hypothesis-driven research largely failed to identify the biologic markers of suicide. The most consistent and replicated result was reported for: 1) 5-HTR2A T102C, associated with SB in patients with schizophrenia (OR = 1.73 (1.11-2.69)) and 2) BDNF Val66Met (rs6265), with the Met-Val + Val-Val carriers found to be at risk for suicide in the Caucasian population (OR: 1.96 (1.58-2.43)), while Val-Val vs. Val-Met + Met carriers found to be at risk for suicide in the Asian populations (OR: 1.36 (1.04-1.78)). GWAS-based meta-analyses indicate some positive replicated findings regarding the DRD2, Neuroligin gene, estrogen-related genes, and genes involved in gene expression.Expert opinion: Most consistent results were obtained when analyzing sub-samples of patients. Some promising results come from the implementation of the polygenic risk score. There is no current consensus about an implementable biomarker for SB.","PeriodicalId":50463,"journal":{"name":"Expert Review of Proteomics","volume":" ","pages":"41-53"},"PeriodicalIF":3.4,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139693449","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Tackling reproducibility: lessons for the proteomics community. 解决可重复性问题：蛋白质组学界的经验教训。

IF 3.4 3区生物学

Expert Review of Proteomics Pub Date : 2024-01-01 Epub Date: 2024-02-26 DOI: 10.1080/14789450.2024.2320166

Julian Uszkoreit, Magnus Palmblad, Veit Schwämmle

引用次数: 0

Mass spectrometry-based methods for investigating the dynamics and organization of the surfaceome: exploring potential clinical implications. 基于质谱的表面组动态和组织研究方法：探索潜在的临床意义。

IF 3.8 3区生物学

Expert Review of Proteomics Pub Date : 2024-01-01 Epub Date: 2024-02-09 DOI: 10.1080/14789450.2024.2314148

Xing Xu, Kejun Yin, Senhan Xu, Zeyu Wang, Ronghu Wu

{"title":"Mass spectrometry-based methods for investigating the dynamics and organization of the surfaceome: exploring potential clinical implications.","authors":"Xing Xu, Kejun Yin, Senhan Xu, Zeyu Wang, Ronghu Wu","doi":"10.1080/14789450.2024.2314148","DOIUrl":"10.1080/14789450.2024.2314148","url":null,"abstract":"Introduction: Cell-surface proteins are extremely important for many cellular events, such as regulating cell-cell communication and cell-matrix interactions. Aberrant alterations in surface protein expression, modification (especially glycosylation), and interactions are directly related to human diseases. Systematic investigation of surface proteins advances our understanding of protein functions, cellular activities, and disease mechanisms, which will lead to identifying surface proteins as disease biomarkers and drug targets.Areas covered: In this review, we summarize mass spectrometry (MS)-based proteomics methods for global analysis of cell-surface proteins. Then, investigations of the dynamics of surface proteins are discussed. Furthermore, we summarize the studies for the surfaceome interaction networks. Additionally, biological applications of MS-based surfaceome analysis are included, particularly highlighting the significance in biomarker identification, drug development, and immunotherapies.Expert opinion: Modern MS-based proteomics provides an opportunity to systematically characterize proteins. However, due to the complexity of cell-surface proteins, the labor-intensive workflow, and the limit of clinical samples, comprehensive characterization of the surfaceome remains extraordinarily challenging, especially in clinical studies. Developing and optimizing surfaceome enrichment methods and utilizing automated sample preparation workflow can expand the applications of surfaceome analysis and deepen our understanding of the functions of cell-surface proteins.","PeriodicalId":50463,"journal":{"name":"Expert Review of Proteomics","volume":" ","pages":"99-113"},"PeriodicalIF":3.8,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10928381/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139652081","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0