Expert Review of Proteomics最新文献_第6页

Novel proteomic technologies to address gaps in pre-clinical ovarian cancer biomarker discovery efforts 新型蛋白质组学技术填补临床前卵巢癌生物标志物发现工作的空白

IF 3.4 3区生物学

Expert Review of Proteomics Pub Date : 2023-12-20 DOI: 10.1080/14789450.2023.2295861

Helen A. Jordan, Stefani N. Thomas

引用次数: 0

Metabolomics in diabetes mellitus: clinical insight 糖尿病的代谢组学：临床见解

IF 3.4 3区生物学

Expert Review of Proteomics Pub Date : 2023-12-18 DOI: 10.1080/14789450.2023.2295866

Shereen M. Aleidi, Hiba Al Fahmawi, Afshan Masoud, Anas Abdel Rahman

引用次数: 0

Glycoproteomic contributions to hepatocellular carcinoma research: a 2023 update. 糖蛋白质组学对肝细胞癌研究的贡献：2023年更新。

IF 3.4 3区生物学

Expert Review of Proteomics Pub Date : 2023-07-01 Epub Date: 2023-10-27 DOI: 10.1080/14789450.2023.2265064

Yingqi Zheng, Ke Gao, Qiang Gao, Shu Zhang

{"title":"Glycoproteomic contributions to hepatocellular carcinoma research: a 2023 update.","authors":"Yingqi Zheng, Ke Gao, Qiang Gao, Shu Zhang","doi":"10.1080/14789450.2023.2265064","DOIUrl":"10.1080/14789450.2023.2265064","url":null,"abstract":"Introduction: Hepatocellular carcinoma (HCC) represents a significant burden globally, which ranks sixth among the most frequently diagnosed cancers and stands as the third leading cause of cancer-related mortality. Glycoproteomics, as an important branch of proteomics, has already made significant achievements in the field of HCC research. Aberrant protein glycosylation has shown to promote the malignant transformation of hepatocytes by modulating a wide range of tumor-promoting signaling pathways. The glycoproteome provides valuable information for understanding cancer progression, tumor immunity, and clinical outcome, which could serve as potential diagnostic, prognostic, and therapeutic tools in HCC.Areas covered: In this review, recent advances of glycoproteomics contribute to clinical applications (diagnosis and prognosis) and molecular mechanisms (hepatocarcinogenesis, progression, stemness and recurrence, and drug resistance) of HCC are summarized.Expert opinion: Glycoproteomics shows promise in HCC, enhancing early detection, risk stratification, and personalized treatments. Challenges include sample heterogeneity, diverse glycans structures, sensitivity issues, complex workflows, limited databases, and incomplete understanding of immune cell glycosylation. Addressing these limitations requires collaborative efforts, technological advancements, standardization, and validation studies. Future research should focus on targeting abnormal protein glycosylation therapeutically. Advancements in glycobiomarkers and glycosylation-targeted therapies will greatly impact HCC diagnosis, prognosis, and treatment.","PeriodicalId":50463,"journal":{"name":"Expert Review of Proteomics","volume":" ","pages":"211-220"},"PeriodicalIF":3.4,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50163505","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

Proteolytic signaling in cancer. 癌症中的蛋白质分解信号。

IF 3.4 3区生物学

Expert Review of Proteomics Pub Date : 2023-07-01 Epub Date: 2023-12-30 DOI: 10.1080/14789450.2023.2275671

Murilo Salardani, Uilla Barcick, André Zelanis

{"title":"Proteolytic signaling in cancer.","authors":"Murilo Salardani, Uilla Barcick, André Zelanis","doi":"10.1080/14789450.2023.2275671","DOIUrl":"10.1080/14789450.2023.2275671","url":null,"abstract":"Introduction: Cancer is a disease of (altered) biological pathways, often driven by somatic mutations and with several implications. Therefore, the identification of potential markers of disease is challenging. Given the large amount of biological data generated with omics approaches, oncology has experienced significant contributions. Proteomics mapping of protein fragments, derived from proteolytic processing events during oncogenesis, may shed light on (i) the role of active proteases and (ii) the functional implications of processed substrates in biological signaling circuits. Both outcomes have the potential for predicting diagnosis/prognosis in diseases like cancer. Therefore, understanding proteolytic processing events and their downstream implications may contribute to advances in the understanding of tumor biology and targeted therapies in precision medicine.Areas covered: Proteolytic events associated with some hallmarks of cancer (cell migration and proliferation, angiogenesis, metastasis, as well as extracellular matrix degradation) will be discussed. Moreover, biomarker discovery and the use of proteomics approaches to uncover proteolytic signaling events will also be covered.Expert opinion: Proteolytic processing is an irreversible protein post-translational modification and the deconvolution of biological data resulting from the study of proteolytic signaling events may be used in both patient diagnosis/prognosis and targeted therapies in cancer.","PeriodicalId":50463,"journal":{"name":"Expert Review of Proteomics","volume":" ","pages":"345-355"},"PeriodicalIF":3.4,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49693535","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

An overview of metabolomic and proteomic profiling in bipolar disorder and its clinical value. 双相情感障碍的代谢组学和蛋白质组学分析及其临床价值综述。

IF 3.4 3区生物学

Expert Review of Proteomics Pub Date : 2023-07-01 Epub Date: 2023-10-30 DOI: 10.1080/14789450.2023.2267756

Henrique Caracho Ribeiro, Flávia da Silva Zandonadi, Alessandra Sussulini

{"title":"An overview of metabolomic and proteomic profiling in bipolar disorder and its clinical value.","authors":"Henrique Caracho Ribeiro, Flávia da Silva Zandonadi, Alessandra Sussulini","doi":"10.1080/14789450.2023.2267756","DOIUrl":"10.1080/14789450.2023.2267756","url":null,"abstract":"ABSTRACT Introduction Bipolar disorder (BD) is a complex psychiatric disease characterized by alternating mood episodes. As for any other psychiatric illness, currently there is no biochemical test that is able to support diagnosis or therapeutic decisions for BD. In this context, the discovery and validation of biomarkers are interesting strategies that can be achieved through proteomics and metabolomics. Areas covered In this descriptive review, a literature search including original articles and systematic reviews published in the last decade was performed with the objective to discuss the results of BD proteomic and metabolomic profiling analyses and indicate proteins and metabolites (or metabolic pathways) with potential clinical value. Expert opinion A large number of proteins and metabolites have been reported as potential BD biomarkers; however, most studies do not reach biomarker validation stages. An effort from the scientific community should be directed toward the validation of biomarkers and the development of simplified bioanalytical techniques or protocols to determine them in biological samples, in order to translate proteomic and metabolomic findings into clinical routine assays.","PeriodicalId":50463,"journal":{"name":"Expert Review of Proteomics","volume":" ","pages":"267-280"},"PeriodicalIF":3.4,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41219198","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

Single-cell omics techniques to elucidate cell-to-cell variability in signalling cascades involved in human diseases. 单细胞组学技术，阐明与人类疾病有关的信号级联中的细胞间变异性。

IF 3.4 3区生物学

Expert Review of Proteomics Pub Date : 2023-07-01 Epub Date: 2023-10-30 DOI: 10.1080/14789450.2023.2268836

Salla Keskitalo, Markku Varjosalo

引用次数: 0

Neuroproteomic mapping of kinases and their substrates downstream of acetylcholine: finding and implications. 乙酰胆碱下游激酶及其底物的神经组织化学定位：发现和意义。

IF 3.4 3区生物学

Expert Review of Proteomics Pub Date : 2023-07-01 Epub Date: 2023-10-30 DOI: 10.1080/14789450.2023.2265067

Yukie Yamahashi, Daisuke Tsuboi, Yasuhiro Funahashi, Kozo Kaibuchi

{"title":"Neuroproteomic mapping of kinases and their substrates downstream of acetylcholine: finding and implications.","authors":"Yukie Yamahashi, Daisuke Tsuboi, Yasuhiro Funahashi, Kozo Kaibuchi","doi":"10.1080/14789450.2023.2265067","DOIUrl":"10.1080/14789450.2023.2265067","url":null,"abstract":"Introduction: Since the emergence of the cholinergic hypothesis of Alzheimer's disease (AD), acetylcholine has been viewed as a mediator of learning and memory. Donepezil improves AD-associated learning deficits and memory loss by recovering brain acetylcholine levels. However, it is associated with side effects due to global activation of acetylcholine receptors. Muscarinic acetylcholine receptor M1 (M1R), a key mediator of learning and memory, has been an alternative target. The importance of targeting a specific pathway downstream of M1R has recently been recognized. Elucidating signaling pathways beyond M1R that lead to learning and memory holds important clues for AD therapeutic strategies.Areas covered: This review first summarizes the role of acetylcholine in aversive learning, one of the outputs used for preliminary AD drug screening. It then describes the phosphoproteomic approach focused on identifying acetylcholine intracellular signaling pathways leading to aversive learning. Finally, the intracellular mechanism of donepezil and its effect on learning and memory is discussed.Expert opinion: The elucidation of signaling pathways beyond M1R by phosphoproteomic approach offers a platform for understanding the intracellular mechanism of AD drugs and for developing AD therapeutic strategies. Clarifying the molecular mechanism that links the identified acetylcholine signaling to AD pathophysiology will advance the development of AD therapeutic strategies.","PeriodicalId":50463,"journal":{"name":"Expert Review of Proteomics","volume":" ","pages":"291-298"},"PeriodicalIF":3.4,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41172267","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

Enterogenic metabolomics signatures of depression: what are the possibilities for the future. 抑郁症的肠源性代谢组学特征：未来的可能性是什么。

IF 3.4 3区生物学

Expert Review of Proteomics Pub Date : 2023-07-01 Epub Date: 2023-12-30 DOI: 10.1080/14789450.2023.2279984

Yangdong Zhang, Xueyi Chen, Xiaolong Mo, Rui Xiao, Qisheng Cheng, Haiyang Wang, Lanxiang Liu, Peng Xie

{"title":"Enterogenic metabolomics signatures of depression: what are the possibilities for the future.","authors":"Yangdong Zhang, Xueyi Chen, Xiaolong Mo, Rui Xiao, Qisheng Cheng, Haiyang Wang, Lanxiang Liu, Peng Xie","doi":"10.1080/14789450.2023.2279984","DOIUrl":"10.1080/14789450.2023.2279984","url":null,"abstract":"Introduction: An increasing number of studies indicate that the microbiota-gut-brain axis is an important pathway involved in the onset and progression of depression. The responses of the organism (or its microorganisms) to external cues cannot be separated from a key intermediate element: their metabolites.Areas covered: In recent years, with the rapid development of metabolomics, an increasing amount of metabolites has been detected and studied, especially the gut metabolites. Nevertheless, the increasing amount of metabolites described has not been reflected in a better understanding of their functions and metabolic pathways. Moreover, our knowledge of the biological interactions among metabolites is also incomplete, which limits further studies on the connections between the microbial-entero-brain axis and depression.Expert opinion: This paper summarizes the current knowledge on depression-related metabolites and their involvement in the onset and progression of this disease. More importantly, this paper summarized metabolites from the intestine, and defined them as enterogenic metabolites, to further clarify the function of intestinal metabolites and their biochemical cross-talk, providing theoretical support and new research directions for the prevention and treatment of depression.","PeriodicalId":50463,"journal":{"name":"Expert Review of Proteomics","volume":" ","pages":"397-418"},"PeriodicalIF":3.4,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71488377","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

Novel proteomic technologies to address gaps in pre-clinical ovarian cancer biomarker discovery efforts. 新型蛋白质组学技术弥补临床前卵巢癌生物标志物发现工作的不足。

IF 3.4 3区生物学

Expert Review of Proteomics Pub Date : 2023-07-01 Epub Date: 2023-12-30 DOI: 10.1080/14789450.2023.2295861

Helen A Jordan, Stefani N Thomas

{"title":"Novel proteomic technologies to address gaps in pre-clinical ovarian cancer biomarker discovery efforts.","authors":"Helen A Jordan, Stefani N Thomas","doi":"10.1080/14789450.2023.2295861","DOIUrl":"10.1080/14789450.2023.2295861","url":null,"abstract":"Introduction: An estimated 20,000 women in the United States will receive a diagnosis of ovarian cancer in 2023. Late-stage diagnosis is associated with poor prognosis. There is a need for novel diagnostic biomarkers for ovarian cancer to improve early-stage detection and novel prognostic biomarkers to improve patient treatment.Areas covered: This review provides an overview of the clinicopathological features of ovarian cancer and the currently available biomarkers and treatment options. Two affinity-based platforms using proximity extension assays (Olink) and DNA aptamers (SomaLogic) are described in the context of highly reproducible and sensitive multiplexed assays for biomarker discovery. Recent developments in ion mobility spectrometry are presented as novel techniques to apply to the biomarker discovery pipeline. Examples are provided of how these aforementioned methods are being applied to biomarker discovery efforts in various diseases, including ovarian cancer.Expert opinion: Translating novel ovarian cancer biomarkers from candidates in the discovery phase to bona fide biomarkers with regulatory approval will have significant benefits for patients. Multiplexed affinity-based assay platforms and novel mass spectrometry methods are capable of quantifying low abundance proteins to aid biomarker discovery efforts by enabling the robust analytical interrogation of the ovarian cancer proteome.","PeriodicalId":50463,"journal":{"name":"Expert Review of Proteomics","volume":" ","pages":"439-450"},"PeriodicalIF":3.4,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138812704","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

Paving the path toward multi-omics approaches in the diagnostic challenges faced in thyroid pathology. 为多组学方法在甲状腺病理诊断中面临的挑战铺平道路。

IF 3.4 3区生物学

Expert Review of Proteomics Pub Date : 2023-07-01 Epub Date: 2023-12-30 DOI: 10.1080/14789450.2023.2288222

Isabella Piga, Vincenzo L'Imperio, Giulia Capitoli, Vanna Denti, Andrew Smith, Fulvio Magni, Fabio Pagni

{"title":"Paving the path toward multi-omics approaches in the diagnostic challenges faced in thyroid pathology.","authors":"Isabella Piga, Vincenzo L'Imperio, Giulia Capitoli, Vanna Denti, Andrew Smith, Fulvio Magni, Fabio Pagni","doi":"10.1080/14789450.2023.2288222","DOIUrl":"10.1080/14789450.2023.2288222","url":null,"abstract":"Introduction: Despite advancements in diagnostic methods, the classification of indeterminate thyroid nodules still poses diagnostic challenges not only in pre-surgical evaluation but even after histological evaluation of surgical specimens. Proteomics, aided by mass spectrometry and integrated with artificial intelligence and machine learning algorithms, shows great promise in identifying diagnostic markers for thyroid lesions.Areas covered: This review provides in-depth exploration of how proteomics has contributed to the understanding of thyroid pathology. It discusses the technical advancements related to immunohistochemistry, genetic and proteomic techniques, such as mass spectrometry, which have greatly improved sensitivity and spatial resolution up to single-cell level. These improvements allowed the identification of specific protein signatures associated with different types of thyroid lesions.Expert commentary: Among all the proteomics approaches, spatial proteomics stands out due to its unique ability to capture the spatial context of proteins in both cytological and tissue thyroid samples. The integration of multi-layers of molecular information combining spatial proteomics, genomics, immunohistochemistry or metabolomics and the implementation of artificial intelligence and machine learning approaches, represent hugely promising steps forward toward the possibility to uncover intricate relationships and interactions among various molecular components, providing a complete picture of the biological landscape whilst fostering thyroid nodule diagnosis.","PeriodicalId":50463,"journal":{"name":"Expert Review of Proteomics","volume":" ","pages":"419-437"},"PeriodicalIF":3.4,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138435378","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