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Hu Y, Zou Y, Qiao L, Lin L. Integrative proteomic and metabolomic elucidation of cardiomyopathy with in vivo and in vitro models and clinical samples. Mol Ther 2024; 32:3288-3312. [PMID: 39233439 DOI: 10.1016/j.ymthe.2024.08.030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2024] [Revised: 07/16/2024] [Accepted: 08/30/2024] [Indexed: 09/06/2024] Open
Abstract
Cardiomyopathy is a prevalent cardiovascular disease that affects individuals of all ages and can lead to life-threatening heart failure. Despite its variety in types, each with distinct characteristics and causes, our understanding of cardiomyopathy at a systematic biology level remains incomplete. Mass spectrometry-based techniques have emerged as powerful tools, providing a comprehensive view of the molecular landscape and aiding in the discovery of biomarkers and elucidation of mechanisms. This review highlights the significant potential of integrating proteomic and metabolomic approaches with specialized databases to identify biomarkers and therapeutic targets across different types of cardiomyopathies. In vivo and in vitro models, such as genetically modified mice, patient-derived or induced pluripotent stem cells, and organ chips, are invaluable in exploring the pathophysiological complexities of this disease. By integrating omics approaches with these sophisticated modeling systems, our comprehension of the molecular underpinnings of cardiomyopathy can be greatly enhanced, facilitating the development of diagnostic markers and therapeutic strategies. Among the promising therapeutic targets are those involved in extracellular matrix remodeling, sarcomere damage, and metabolic remodeling. These targets hold the potential to advance precision therapy in cardiomyopathy, offering hope for more effective treatments tailored to the specific molecular profiles of patients.
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Affiliation(s)
- Yiwei Hu
- Department of Chemistry, Zhongshan Hospital, and Minhang Hospital, Fudan University, Shanghai 200000, China
| | - Yunzeng Zou
- Department of Chemistry, Zhongshan Hospital, and Minhang Hospital, Fudan University, Shanghai 200000, China.
| | - Liang Qiao
- Department of Chemistry, Zhongshan Hospital, and Minhang Hospital, Fudan University, Shanghai 200000, China.
| | - Ling Lin
- Department of Chemistry, Zhongshan Hospital, and Minhang Hospital, Fudan University, Shanghai 200000, China.
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2
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Kühle M, Kuhn J, Ly TD, Knabbe C, Fischer B. Using targeted proteomics-based detection of collagen propeptides to quantify fibrillar collagen biogenesis in vitro. Biochimie 2024:S0300-9084(24)00214-1. [PMID: 39278395 DOI: 10.1016/j.biochi.2024.09.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2024] [Revised: 09/12/2024] [Accepted: 09/13/2024] [Indexed: 09/18/2024]
Abstract
The collagen superfamily, as the major structural component of the extracellular matrix, encompasses 28 distinct subtypes, with type-I and -III forming fibrils crucial for the matrix scaffold. During collagen biogenesis, trimers of type-I and -III procollagen are secreted into the extracellular matrix. The N- and C-terminal propeptides of these trimers are proteolytically cleaved from procollagen during secretion, initiating collagen fibril formation. The propeptides are released into extracellular space and, therefore, have been used to quantify collagen biogenesis. But high-throughput methods for the quantification of these biomarkers are still lacking. This study presents a state-of-the-art multiplexed approach for the simultaneous quantification of PINP, PICP, PIIINP and PIIICP from cell culture supernatants. The ability of targeted proteomics to quantify these propeptides from cell culture samples was assessed in this study. Using tryptic digestion and solid phase extraction, we were able to accurately quantify precollagen propeptides in a range of 3-1000 ng/mL. The assay showed an average inter-assay variance of 6.86 % with an overall recovery ranging from 92 to 98 %. The assay was validated using recombinant protein standards diluted in surrogate matrix and tested using transforming growth factor β1 mediated induction of normal human dermal fibroblasts. In summary, the assay presented in this paper offers a novel, robust, and precise high-throughput method for measuring human collagen propeptides in cell culture supernatants, empowering researchers to assess collagen biogenesis effectively in in vitro experiments.
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Affiliation(s)
- Matthias Kühle
- Institut für Laboratoriums- und Transfusionsmedizin, Herz- und Diabeteszentrum Nordrhein-Westfalen, Universitätsklinik der Ruhr-Universität Bochum, Georgstraße 11, 32545, Bad Oeynhausen, Germany.
| | - Joachim Kuhn
- Institut für Laboratoriums- und Transfusionsmedizin, Herz- und Diabeteszentrum Nordrhein-Westfalen, Universitätsklinik der Ruhr-Universität Bochum, Georgstraße 11, 32545, Bad Oeynhausen, Germany
| | - Thanh-Diep Ly
- Institut für Laboratoriums- und Transfusionsmedizin, Herz- und Diabeteszentrum Nordrhein-Westfalen, Universitätsklinik der Ruhr-Universität Bochum, Georgstraße 11, 32545, Bad Oeynhausen, Germany
| | - Cornelius Knabbe
- Institut für Laboratoriums- und Transfusionsmedizin, Herz- und Diabeteszentrum Nordrhein-Westfalen, Universitätsklinik der Ruhr-Universität Bochum, Georgstraße 11, 32545, Bad Oeynhausen, Germany
| | - Bastian Fischer
- Institut für Laboratoriums- und Transfusionsmedizin, Herz- und Diabeteszentrum Nordrhein-Westfalen, Universitätsklinik der Ruhr-Universität Bochum, Georgstraße 11, 32545, Bad Oeynhausen, Germany
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3
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Son A, Kim W, Lee W, Park J, Kim H. Applicability of selected reaction monitoring for precise screening tests. Expert Rev Proteomics 2024; 21:237-246. [PMID: 38697802 DOI: 10.1080/14789450.2024.2350975] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2023] [Accepted: 03/27/2024] [Indexed: 05/05/2024]
Abstract
INTRODUCTION The proactive identification of diseases through screening tests has long been endorsed as a means to preempt symptomatic onset. However, such screening endeavors are fraught with complications, such as diagnostic inaccuracies, procedural risks, and patient unease during examinations. These challenges are amplified when screenings for multiple diseases are administered concurrently. Selected Reaction Monitoring (SRM) offers a unique advantage, allowing for the high-throughput quantification of hundreds of analytes with minimal interferences. AREAS COVERED Our research posits that SRM-based assays, traditionally tailored for single-disease biomarker profiling, can be repurposed for multi-disease screening. This innovative approach has the potential to substantially alleviate time, labor, and cost demands on healthcare systems and patients alike. Nonetheless, there are formidable methodological hurdles to overcome. These include difficulties in detecting low-abundance proteins and the risk of model overfitting due to the multiple functionalities of single proteins across different disease spectrums - issues especially pertinent in blood-based assays where detection sensitivity is constrained. As we move forward, technological strides in sample preparation, online extraction, throughput, and automation are expected to ameliorate these limitations. EXPERT OPINION The maturation of mass spectrometry's integration into clinical laboratories appears imminent, positioning it as an invaluable asset for delivering highly sensitive, reproducible, and precise diagnostic results.
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Affiliation(s)
- Ahrum Son
- Department of Molecular Medicine, The Scripps Research Institute, La Jolla, CA, USA
| | - Woojin Kim
- Department of Bio-AI convergence Chungnam National University,Daejeon, South Korea
| | - Wonseok Lee
- Department of Bio-AI convergence Chungnam National University,Daejeon, South Korea
| | - Jongham Park
- Department of Bio-AI convergence Chungnam National University,Daejeon, South Korea
| | - Hyunsoo Kim
- Department of Bio-AI convergence Chungnam National University,Daejeon, South Korea
- Department of Convergent Bioscience and Informatics, Chungnam National University, Daejeon, Republic of Korea
- SCICS, Daejeon, Republic of Korea
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4
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Sowislok A, Busch A, Kaschani F, Kaiser M, Jäger M. Differences in the Synovial Fluid Proteome of Septic and Aseptic Implant Failure. Antibiotics (Basel) 2024; 13:346. [PMID: 38667022 PMCID: PMC11047638 DOI: 10.3390/antibiotics13040346] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2024] [Revised: 03/25/2024] [Accepted: 04/07/2024] [Indexed: 04/29/2024] Open
Abstract
Implant loosening is a severe complication after total joint replacement. Here, differential diagnosis between septic and aseptic cases is crucial for further surgical treatment, but low-grade periprosthetic joint infections (PJIs) in particular remain a challenge. In this study, we analyzed the synovial fluid proteome of 21 patients undergoing revision surgery for septic (eight cases) or aseptic (thirteen cases) implant failure using LC-MS/MS to identify potential new biomarkers as future diagnostic tools. Staphylococci were found in four cases, Streptococci in two cases, Serratia marcescens and Cutibacterium acnes in one case. Proteomic analysis of the synovial fluid resulted in the identification of 515 different proteins based on at least two peptides. A statistical comparison revealed 37 differentially abundant proteins (p < 0.05), of which 17 proteins (46%) showed a higher abundance in the septic group. The proteins with the highest fold change included the known marker proteins c-reactive protein (7.57-fold) and the calprotectin components protein S100-A8 (4.41-fold) and protein S100-A9 (3.1-fold). However, the protein with the highest fold change was leucine-rich alpha-2-glycoprotein 1 (LRG1) (9.07-fold), a currently discussed new biomarker for inflammatory diseases. Elevated LRG1 levels could facilitate the diagnosis of PJI in the future, but their significance needs to be further investigated.
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Affiliation(s)
- Andrea Sowislok
- Chair of Orthopedics and Trauma Surgery, University of Duisburg-Essen, 45147 Essen, Germany;
| | - André Busch
- Department of Orthopedics, Trauma and Reconstructive Surgery, Katholisches Klinikum Essen Philippus, 45355 Essen, Germany;
| | - Farnusch Kaschani
- Analytics Core Facility Essen (ACE), ZMB, Chemical Biology, University of Duisburg-Essen, 45141 Essen, Germany;
| | - Markus Kaiser
- Chemical Biology, Faculty of Biology, University of Duisburg-Essen, 45141 Essen, Germany;
| | - Marcus Jäger
- Chair of Orthopedics and Trauma Surgery, University of Duisburg-Essen, 45147 Essen, Germany;
- Department of Orthopedics, Trauma and Reconstructive Surgery, Katholisches Klinikum Essen Philippus, 45355 Essen, Germany;
- Department of Orthopedics, Trauma and Reconstructive Surgery, St. Marien Hospital Mülheim a. d. Ruhr, 45468 Mülheim, Germany
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Wu CC, Tsantilas KA, Park J, Plubell D, Sanders JA, Naicker P, Govender I, Buthelezi S, Stoychev S, Jordaan J, Merrihew G, Huang E, Parker ED, Riffle M, Hoofnagle AN, Noble WS, Poston KL, Montine TJ, MacCoss MJ. Mag-Net: Rapid enrichment of membrane-bound particles enables high coverage quantitative analysis of the plasma proteome. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2023.06.10.544439. [PMID: 38617345 PMCID: PMC11014469 DOI: 10.1101/2023.06.10.544439] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/16/2024]
Abstract
Membrane-bound particles in plasma are composed of exosomes, microvesicles, and apoptotic bodies and represent ~1-2% of the total protein composition. Proteomic interrogation of this subset of plasma proteins augments the representation of tissue-specific proteins, representing a "liquid biopsy," while enabling the detection of proteins that would otherwise be beyond the dynamic range of liquid chromatography-tandem mass spectrometry of unfractionated plasma. We have developed an enrichment strategy (Mag-Net) using hyper-porous strong-anion exchange magnetic microparticles to sieve membrane-bound particles from plasma. The Mag-Net method is robust, reproducible, inexpensive, and requires <100 μL plasma input. Coupled to a quantitative data-independent mass spectrometry analytical strategy, we demonstrate that we can collect results for >37,000 peptides from >4,000 plasma proteins with high precision. Using this analytical pipeline on a small cohort of patients with neurodegenerative disease and healthy age-matched controls, we discovered 204 proteins that differentiate (q-value < 0.05) patients with Alzheimer's disease dementia (ADD) from those without ADD. Our method also discovered 310 proteins that were different between Parkinson's disease and those with either ADD or healthy cognitively normal individuals. Using machine learning we were able to distinguish between ADD and not ADD with a mean ROC AUC = 0.98 ± 0.06.
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Affiliation(s)
- Christine C. Wu
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | | | - Jea Park
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Deanna Plubell
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Justin A. Sanders
- Department of Computer Science, University of Washington, Seattle, WA, USA
| | | | | | | | | | | | - Gennifer Merrihew
- Department of Computer Science, University of Washington, Seattle, WA, USA
| | - Eric Huang
- Department of Computer Science, University of Washington, Seattle, WA, USA
| | - Edward D. Parker
- Vision Core Lab, Department of Ophthalmology, University of Washington, Seattle, WA, USA
| | - Michael Riffle
- Department of Biochemistry, University of Washington, Seattle, WA, USA
| | - Andrew N. Hoofnagle
- Department of Lab Medicine and Pathology, University of Washington, Seattle, WA, USA
| | - William S. Noble
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
- Department of Computer Science, University of Washington, Seattle, WA, USA
| | - Kathleen L. Poston
- Department of Neurology & Neurological Sciences, Stanford University, Palo Alto CA, USA
| | | | - Michael J. MacCoss
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
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Alexander N, McDonald L, Wesdemiotis C, Pang Y. Native mass spectrometry analysis of conjugated HSA and BSA complexes with various flavonoids. Analyst 2024; 149:1929-1938. [PMID: 38376111 PMCID: PMC10926777 DOI: 10.1039/d3an02070c] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2023] [Accepted: 01/10/2024] [Indexed: 02/21/2024]
Abstract
Mass spectrometry was used to study the binding interaction between serum albumin proteins (BSA and HSA) and flavone dyes, which is known to induce large fluorescence signals for protein detection. By electrospray ionization mass spectrometry (ESI-MS), multiple charged species/states could be produced in ammonium acetate buffer, while preserving the native structures of the proteins. Subsequent introduction of a flavone dye into the buffered solution resulted in an immediate interaction, forming the respective protein-dye conjugates associated by non-covalent interactions. Formation of protein-dye conjugates induced a notable response in the ESI-MS spectra, including changes in both the charge states and molecular mass of the protein species. The resulting data pointed out that the protein-flavone dye maintained a 1 : 1 ratio in the conjugate, although multiple binding sites for drug molecules are present in albumin proteins.
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Affiliation(s)
| | - Lucas McDonald
- Department of Chemistry, The University of Akron, OH 44325, USA.
| | | | - Yi Pang
- Department of Chemistry, The University of Akron, OH 44325, USA.
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Wenk D, Zuo C, Kislinger T, Sepiashvili L. Recent developments in mass-spectrometry-based targeted proteomics of clinical cancer biomarkers. Clin Proteomics 2024; 21:6. [PMID: 38287260 PMCID: PMC10826105 DOI: 10.1186/s12014-024-09452-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2023] [Accepted: 01/14/2024] [Indexed: 01/31/2024] Open
Abstract
Routine measurement of cancer biomarkers is performed for early detection, risk classification, and treatment monitoring, among other applications, and has substantially contributed to better clinical outcomes for patients. However, there remains an unmet need for clinically validated assays of cancer protein biomarkers. Protein tumor markers are of particular interest since proteins carry out the majority of biological processes and thus dynamically reflect changes in cancer pathophysiology. Mass spectrometry-based targeted proteomics is a powerful tool for absolute peptide and protein quantification in biological matrices with numerous advantages that make it attractive for clinical applications in oncology. The use of liquid chromatography-tandem mass spectrometry (LC-MS/MS) based methodologies has allowed laboratories to overcome challenges associated with immunoassays that are more widely used for tumor marker measurements. Yet, clinical implementation of targeted proteomics methodologies has so far been limited to a few cancer markers. This is due to numerous challenges associated with paucity of robust validation studies of new biomarkers and the labor-intensive and operationally complex nature of LC-MS/MS workflows. The purpose of this review is to provide an overview of targeted proteomics applications in cancer, workflows used in targeted proteomics, and requirements for clinical validation and implementation of targeted proteomics assays. We will also discuss advantages and challenges of targeted MS-based proteomics assays for clinical cancer biomarker analysis and highlight some recent developments that will positively contribute to the implementation of this technique into clinical laboratories.
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Affiliation(s)
- Deborah Wenk
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - Charlotte Zuo
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - Thomas Kislinger
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada.
- Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada.
- Princess Margaret Cancer Research Tower, Room 9-807, 101 College Street, Toronto, ON, M5G 1L7, Canada.
| | - Lusia Sepiashvili
- Department of Paediatric Laboratory Medicine, The Hospital for Sick Children, 555 University Ave, Rm 3606, Toronto, ON, M5G 1X8, Canada.
- Department of Laboratory Medicine & Pathobiology, University of Toronto, Toronto, ON, Canada.
- Sickkids Research Institute, Toronto, ON, Canada.
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8
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Hu Q, Tong Z, Yalikong A, Ge LP, Shi Q, Du X, Wang P, Liu XY, Zhan W, Gao X, Sun D, Fu T, Ye D, Fan C, Liu J, Zhong YS, Jiang YZ, Gu H. DNAzyme-based faithful probing and pulldown to identify candidate biomarkers of low abundance. Nat Chem 2024; 16:122-131. [PMID: 37710046 DOI: 10.1038/s41557-023-01328-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Accepted: 08/17/2023] [Indexed: 09/16/2023]
Abstract
Biomarker discovery is essential for the understanding, diagnosis, targeted therapy and prognosis assessment of malignant diseases. However, it remains a huge challenge due to the lack of sensitive methods to identify disease-specific rare molecules. Here we present MORAC, molecular recognition based on affinity and catalysis, which enables the effective identification of candidate biomarkers with low abundance. MORAC relies on a class of DNAzymes, each cleaving a sole RNA linkage embedded in their DNA chain upon specifically sensing a complex system with no prior knowledge of the system's molecular content. We show that signal amplification from catalysis ensures the DNAzymes high sensitivity (for target probing); meanwhile, a simple RNA-to-DNA mutation can shut down their RNA cleavage ability and turn them into a pure affinity tool (for target pulldown). Using MORAC, we identify previously unknown, low-abundance candidate biomarkers with clear clinical value, including apolipoprotein L6 in breast cancer and seryl-tRNA synthetase 1 in polyps preceding colon cancer.
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Affiliation(s)
- Qinqin Hu
- Key Laboratory of Breast Cancer in Shanghai, Department of Breast Surgery, Institutes of Biomedical Sciences, Fudan University Shanghai Cancer Center, Shanghai Stomatological Hospital, and Endoscopy Center, Zhongshan Hospital, Fudan University, Shanghai, China
- Department of Chemical Biology, School of Chemistry and Chemical Engineering, and School of Global Health, Shanghai Jiao Tong University, Shanghai, China
| | - Zongxuan Tong
- Key Laboratory of Breast Cancer in Shanghai, Department of Breast Surgery, Institutes of Biomedical Sciences, Fudan University Shanghai Cancer Center, Shanghai Stomatological Hospital, and Endoscopy Center, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Ayimukedisi Yalikong
- Key Laboratory of Breast Cancer in Shanghai, Department of Breast Surgery, Institutes of Biomedical Sciences, Fudan University Shanghai Cancer Center, Shanghai Stomatological Hospital, and Endoscopy Center, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Li-Ping Ge
- Key Laboratory of Breast Cancer in Shanghai, Department of Breast Surgery, Institutes of Biomedical Sciences, Fudan University Shanghai Cancer Center, Shanghai Stomatological Hospital, and Endoscopy Center, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Qiang Shi
- Key Laboratory of Breast Cancer in Shanghai, Department of Breast Surgery, Institutes of Biomedical Sciences, Fudan University Shanghai Cancer Center, Shanghai Stomatological Hospital, and Endoscopy Center, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Xinyu Du
- Key Laboratory of Breast Cancer in Shanghai, Department of Breast Surgery, Institutes of Biomedical Sciences, Fudan University Shanghai Cancer Center, Shanghai Stomatological Hospital, and Endoscopy Center, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Pu Wang
- Key Laboratory of Breast Cancer in Shanghai, Department of Breast Surgery, Institutes of Biomedical Sciences, Fudan University Shanghai Cancer Center, Shanghai Stomatological Hospital, and Endoscopy Center, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Xi-Yu Liu
- Key Laboratory of Breast Cancer in Shanghai, Department of Breast Surgery, Institutes of Biomedical Sciences, Fudan University Shanghai Cancer Center, Shanghai Stomatological Hospital, and Endoscopy Center, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Wuqiang Zhan
- Key Laboratory of Breast Cancer in Shanghai, Department of Breast Surgery, Institutes of Biomedical Sciences, Fudan University Shanghai Cancer Center, Shanghai Stomatological Hospital, and Endoscopy Center, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Xia Gao
- Key Laboratory of Breast Cancer in Shanghai, Department of Breast Surgery, Institutes of Biomedical Sciences, Fudan University Shanghai Cancer Center, Shanghai Stomatological Hospital, and Endoscopy Center, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Di Sun
- Key Laboratory of Breast Cancer in Shanghai, Department of Breast Surgery, Institutes of Biomedical Sciences, Fudan University Shanghai Cancer Center, Shanghai Stomatological Hospital, and Endoscopy Center, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Tong Fu
- Key Laboratory of Breast Cancer in Shanghai, Department of Breast Surgery, Institutes of Biomedical Sciences, Fudan University Shanghai Cancer Center, Shanghai Stomatological Hospital, and Endoscopy Center, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Dan Ye
- Key Laboratory of Breast Cancer in Shanghai, Department of Breast Surgery, Institutes of Biomedical Sciences, Fudan University Shanghai Cancer Center, Shanghai Stomatological Hospital, and Endoscopy Center, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Chunhai Fan
- Department of Chemical Biology, School of Chemistry and Chemical Engineering, and School of Global Health, Shanghai Jiao Tong University, Shanghai, China
- Institute of Molecular Medicine, Shanghai Key Laboratory for Nucleic Acids Chemistry and Nanomedicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- New Cornerstone Science Laboratory, Frontiers Science Center for Transformative Molecules and National Center for Translational Medicine, Shanghai Jiao Tong University, Shanghai, China
- Zhangjiang Laboratory, Shanghai, China
| | - Jie Liu
- Department of Digestive Disease, Huashan Hospital, Fudan University, Shanghai, China
| | - Yun-Shi Zhong
- Key Laboratory of Breast Cancer in Shanghai, Department of Breast Surgery, Institutes of Biomedical Sciences, Fudan University Shanghai Cancer Center, Shanghai Stomatological Hospital, and Endoscopy Center, Zhongshan Hospital, Fudan University, Shanghai, China.
| | - Yi-Zhou Jiang
- Key Laboratory of Breast Cancer in Shanghai, Department of Breast Surgery, Institutes of Biomedical Sciences, Fudan University Shanghai Cancer Center, Shanghai Stomatological Hospital, and Endoscopy Center, Zhongshan Hospital, Fudan University, Shanghai, China.
| | - Hongzhou Gu
- Key Laboratory of Breast Cancer in Shanghai, Department of Breast Surgery, Institutes of Biomedical Sciences, Fudan University Shanghai Cancer Center, Shanghai Stomatological Hospital, and Endoscopy Center, Zhongshan Hospital, Fudan University, Shanghai, China.
- Department of Chemical Biology, School of Chemistry and Chemical Engineering, and School of Global Health, Shanghai Jiao Tong University, Shanghai, China.
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9
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Asicioglu M, Oztug M, Karaguler NG. Development of an ID-LC-MS/MS method using targeted proteomics for quantifying cardiac troponin I in human serum. Clin Proteomics 2023; 20:40. [PMID: 37759177 PMCID: PMC10536812 DOI: 10.1186/s12014-023-09430-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2023] [Accepted: 09/05/2023] [Indexed: 09/29/2023] Open
Abstract
BACKGROUND Cardiac troponin is a complex protein consisting of the three subunits I, T and C located in heart muscle cells. When the heart muscle is damaged, it is released into the blood and can be detected. Cardiac troponin I (cTnI) is considered the most reliable and widely accepted test for detecting and confirming acute myocardial infarction. However, there is no current standardization between the commercial assays for cTnI quantification. Our work aims to create a measurement procedure that is traceable to the International System of Units for accurately measuring cardiac cTnI levels in serum samples from patients. METHODS The workflow begins with immobilizing anti-cTnI antibodies onto magnetic nanoparticles to form complexes. These complexes are used to isolate cTnI from serum. Next, trypsin is used to enzymatically digest the isolated cTnI. Finally, the measurement of multiple cTnI peptides is done simultaneously using isotope dilution liquid chromatography-tandem mass spectrometry (ID-LC-MS/MS). RESULTS The maximum antibody immobilization was achieved by combining 1 mg of nanoparticles with 100 μg of antibody, resulting in an average of 59.2 ± 5.7 μg/mg of immobilized antibody. Subsequently, the anti-cTnI-magnetic nanoparticle complex was utilized to develop and validate a method for quantifying cTnI in human serum using ID-LC-MS/MS and a protein calibration approach. The analytical method was assessed regarding linearity and recovery. The developed method enables the quantification of cTnI from 0.7 to 24 μg/L (R > 0.996). The limit of quantification was 1.8 μg/L and the limit of detection was 0.6 μg/L. Intermediate precision was ≤ 9.6% and repeatability was 2.0-8.7% for all quality control materials. The accuracy of the analyzed quality control materials was between 90 and 110%. Total measurement uncertainties for target value assignment (n = 6) were found to be ≤ 12.5% for all levels. CONCLUSIONS The analytical method demonstrated high analytical performance in accurately quantifying cardiac troponin I levels in human serum. The proposed analytical method has the potential to facilitate the harmonization of cTnI results between clinical laboratories, assign target values to secondary certified reference materials and support reliable measurement of cTnI.
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Affiliation(s)
- Meltem Asicioglu
- TUBITAK National Metrology Institute (TUBITAK UME), Gebze, 41400, Kocaeli, Turkey
- Department of Molecular Biology and Genetics, Faculty of Science and Letters, Istanbul Technical University, Istanbul, Turkey
- Dr. Orhan Ocalgiray Molecular Biology-Biotechnology and Genetics Research Center, Istanbul Technical University, Istanbul, Turkey
| | - Merve Oztug
- TUBITAK National Metrology Institute (TUBITAK UME), Gebze, 41400, Kocaeli, Turkey.
| | - Nevin Gul Karaguler
- Department of Molecular Biology and Genetics, Faculty of Science and Letters, Istanbul Technical University, Istanbul, Turkey
- Dr. Orhan Ocalgiray Molecular Biology-Biotechnology and Genetics Research Center, Istanbul Technical University, Istanbul, Turkey
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10
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Li J, Sato T, Hernández-Tejero M, Beier JI, Sayed K, Benos PV, Wilkey DW, Humar A, Merchant ML, Duarte-Rojo A, Arteel GE. The plasma degradome reflects later development of NASH fibrosis after liver transplant. Sci Rep 2023; 13:9965. [PMID: 37340062 PMCID: PMC10282030 DOI: 10.1038/s41598-023-36867-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Accepted: 06/13/2023] [Indexed: 06/22/2023] Open
Abstract
Although liver transplantation (LT) is an effective therapy for cirrhosis, the risk of post-LT NASH is alarmingly high and is associated with accelerated progression to fibrosis/cirrhosis, cardiovascular disease and decreased survival. Lack of risk stratification strategies hampers early intervention against development of post-LT NASH fibrosis. The liver undergoes significant remodeling during inflammatory injury. During such remodeling, degraded peptide fragments (i.e., 'degradome') of the ECM and other proteins increase in plasma, making it a useful diagnostic/prognostic tool in chronic liver disease. To investigate whether liver injury caused by post-LT NASH would yield a unique degradome profile that is predictive of severe post-LT NASH fibrosis, a retrospective analysis of 22 biobanked samples from the Starzl Transplantation Institute (12 with post-LT NASH after 5 years and 10 without) was performed. Total plasma peptides were isolated and analyzed by 1D-LC-MS/MS analysis using a Proxeon EASY-nLC 1000 UHPLC and nanoelectrospray ionization into an Orbitrap Elite mass spectrometer. Qualitative and quantitative peptide features data were developed from MSn datasets using PEAKS Studio X (v10). LC-MS/MS yielded ~ 2700 identifiable peptide features based on the results from Peaks Studio analysis. Several peptides were significantly altered in patients that later developed fibrosis and heatmap analysis of the top 25 most significantly changed peptides, most of which were ECM-derived, clustered the 2 patient groups well. Supervised modeling of the dataset indicated that a fraction of the total peptide signal (~ 15%) could explain the differences between the groups, indicating a strong potential for representative biomarker selection. A similar degradome profile was observed when the plasma degradome patterns were compared being obesity sensitive (C57Bl6/J) and insensitive (AJ) mouse strains. The plasma degradome profile of post-LT patients yielded stark difference based on later development of post-LT NASH fibrosis. This approach could yield new "fingerprints" that can serve as minimally-invasive biomarkers of negative outcomes post-LT.
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Affiliation(s)
- Jiang Li
- Department of Medicine, University of Pittsburgh, Thomas E. Starzl Biomedical Science Tower, West 1143, 200 Lothrop Street, Pittsburgh, PA, 15213, USA
| | - Toshifumi Sato
- Department of Medicine, University of Pittsburgh, Thomas E. Starzl Biomedical Science Tower, West 1143, 200 Lothrop Street, Pittsburgh, PA, 15213, USA
| | - María Hernández-Tejero
- Department of Medicine, University of Pittsburgh, Thomas E. Starzl Biomedical Science Tower, West 1143, 200 Lothrop Street, Pittsburgh, PA, 15213, USA
| | - Juliane I Beier
- Department of Medicine, University of Pittsburgh, Thomas E. Starzl Biomedical Science Tower, West 1143, 200 Lothrop Street, Pittsburgh, PA, 15213, USA
- Pittsburgh Liver Research Center, University of Pittsburgh, Pittsburgh, PA, USA
| | - Khaled Sayed
- Department of Epidemiology, University of Florida, Gainesville, FL, USA
- Department of Electrical and Computer Engineering and Computer Science, University of New Haven, New Haven, CT, USA
| | | | - Daniel W Wilkey
- Department of Medicine, University of Louisville, Louisville, KY, USA
| | - Abhinav Humar
- Department of Surgery, University of Pittsburgh, Pittsburgh, PA, USA
| | | | - Andres Duarte-Rojo
- Division of Gastroenterology and Hepatology, Northwestern Medicine and Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
- Comprehensive Transplant Center, Northwestern Medicine and Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Gavin E Arteel
- Department of Medicine, University of Pittsburgh, Thomas E. Starzl Biomedical Science Tower, West 1143, 200 Lothrop Street, Pittsburgh, PA, 15213, USA.
- Pittsburgh Liver Research Center, University of Pittsburgh, Pittsburgh, PA, USA.
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11
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Xu M, Xu K, Yin S, Sun W, Wang G, Zhang K, Mu J, Wu M, Xing B, Zhang X, Han J, Zhao X, Chang C, Wang Y, Xu D, Yu X. In-depth serum proteomics reveals the trajectory of hallmarks of cancer in hepatitis B virus-related liver diseases. Mol Cell Proteomics 2023:100574. [PMID: 37209815 PMCID: PMC10316086 DOI: 10.1016/j.mcpro.2023.100574] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2022] [Revised: 04/25/2023] [Accepted: 05/16/2023] [Indexed: 05/22/2023] Open
Abstract
Hepatocellular carcinoma (HCC) is a prevalent cancer in China, with chronic hepatitis B (CHB) and liver cirrhosis (LC) being high-risk factors for developing HCC. Here, we determined the serum proteomes (762 proteins) of 125 healthy controls and Hepatitis B virus-infected CHB, LC, and HCC patients and constructed the first cancerous trajectory of liver diseases. The results not only reveal that the majority of altered biological processes were involved in the hallmarks of cancer (inflammation, metastasis, metabolism, vasculature, coagulation), but also identify potential therapeutic targets in cancerous pathways (i.e., IL17 signaling pathway). Notably, the biomarker panels for detecting HCC in CHB and LC high-risk populations were further developed using machine learning in two cohorts comprised of 200 samples (discovery cohort=125, validation cohort=75). The protein signatures significantly improved the area under the receiver operating characteristic curve (AUC) of HCC (CHB discovery and validation cohort = 0.953 and 0.891, respectively; LC discovery and validation cohort = 0.966 and 0.818, respectively) compared to using the traditional biomarker, alpha-fetoprotein (AFP), alone. Finally, selected biomarkers were validated with parallel reaction monitoring (PRM) mass spectrometry in an additional cohort (n=120). Altogether, our results provide fundamental insights into the continuous changes of cancer biology processes in liver diseases and identify candidate protein targets for early detection and intervention.
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Affiliation(s)
- Meng Xu
- State Key Laboratory of Analytical Chemistry for Life Science, School of Chemistry and Chemical Engineering, Nanjing University, Nanjing, China; State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences, Beijing Institute of Lifeomics, Beijing, 102206, China
| | - Kaikun Xu
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences, Beijing Institute of Lifeomics, Beijing, 102206, China; Research Unit of Proteomics Driven Cancer Precision Medicine, Chinese Academy of Medical Sciences, Beijing 102206, China
| | - Shangqi Yin
- Department of Clinical Laboratory, Beijing Ditan Hospital, Capital Medical University, Beijing 100015, China
| | - Wei Sun
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences, Beijing Institute of Lifeomics, Beijing, 102206, China
| | - Guibin Wang
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences, Beijing Institute of Lifeomics, Beijing, 102206, China
| | - Kai Zhang
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences, Beijing Institute of Lifeomics, Beijing, 102206, China
| | - Jinsong Mu
- Department of Critical Care Medicine, The Fifth Medical Center, Chinese PLA General Hospital, Beijing, 100039, China
| | - Miantao Wu
- Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou 510060, China
| | - Baocai Xing
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Hepato-Pancreato-Biliary Surgery I, Peking University Cancer Hospital and Institute, Beijing, 100036, China
| | - Xiaomei Zhang
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences, Beijing Institute of Lifeomics, Beijing, 102206, China
| | - Jinyu Han
- Department of Clinical Laboratory, Beijing Ditan Hospital, Capital Medical University, Beijing 100015, China
| | - Xiaohang Zhao
- State Key Laboratory of Molecular Oncology, Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Cheng Chang
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences, Beijing Institute of Lifeomics, Beijing, 102206, China; Research Unit of Proteomics Driven Cancer Precision Medicine, Chinese Academy of Medical Sciences, Beijing 102206, China.
| | - Yajie Wang
- Department of Clinical Laboratory, Beijing Ditan Hospital, Capital Medical University, Beijing 100015, China.
| | - Danke Xu
- State Key Laboratory of Analytical Chemistry for Life Science, School of Chemistry and Chemical Engineering, Nanjing University, Nanjing, China.
| | - Xiaobo Yu
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences, Beijing Institute of Lifeomics, Beijing, 102206, China.
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12
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Yaung KN, Yeo JG, Kumar P, Wasser M, Chew M, Ravelli A, Law AHN, Arkachaisri T, Martini A, Pisetsky DS, Albani S. Artificial intelligence and high-dimensional technologies in the theragnosis of systemic lupus erythematosus. THE LANCET. RHEUMATOLOGY 2023; 5:e151-e165. [PMID: 38251610 DOI: 10.1016/s2665-9913(23)00010-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/30/2022] [Revised: 12/14/2022] [Accepted: 01/04/2023] [Indexed: 02/22/2023]
Abstract
Systemic lupus erythematosus is a complex, systemic autoimmune disease characterised by immune dysregulation. Pathogenesis is multifactorial, contributing to clinical heterogeneity and posing challenges for diagnosis and treatment. Although strides in treatment options have been made in the past 15 years, with the US Food and Drug Administration approval of belimumab in 2011, there are still many patients who have inadequate responses to therapy. A better understanding of underlying disease mechanisms with a holistic and multiparametric approach is required to improve clinical assessment and treatment. This Review discusses the evolution of genomics, epigenomics, transcriptomics, and proteomics in the study of systemic lupus erythematosus and ways to amalgamate these silos of data with a systems-based approach while also discussing ways to strengthen the overall process. These mechanistic insights will facilitate the discovery of functionally relevant biomarkers to guide rational therapeutic selection to improve patient outcomes.
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Affiliation(s)
- Katherine Nay Yaung
- Translational Immunology Institute, SingHealth Duke-NUS Academic Medical Centre, Singapore; Duke-NUS Medical School, Singapore.
| | - Joo Guan Yeo
- Translational Immunology Institute, SingHealth Duke-NUS Academic Medical Centre, Singapore; Duke-NUS Medical School, Singapore; Rheumatology and Immunology Service, KK Women's and Children's Hospital, Singapore
| | - Pavanish Kumar
- Translational Immunology Institute, SingHealth Duke-NUS Academic Medical Centre, Singapore
| | - Martin Wasser
- Translational Immunology Institute, SingHealth Duke-NUS Academic Medical Centre, Singapore
| | - Marvin Chew
- Translational Immunology Institute, SingHealth Duke-NUS Academic Medical Centre, Singapore
| | - Angelo Ravelli
- Direzione Scientifica, IRCCS Istituto Giannina Gaslini, Genoa, Italy; Dipartimento di Neuroscienze, Riabilitazione, Oftalmologia, Genetica e Scienze Materno-Infantili, Università degli Studi di Genova, Genoa, Italy
| | - Annie Hui Nee Law
- Duke-NUS Medical School, Singapore; Department of Rheumatology and Immunology, Singapore General Hospital, Singapore
| | - Thaschawee Arkachaisri
- Duke-NUS Medical School, Singapore; Rheumatology and Immunology Service, KK Women's and Children's Hospital, Singapore
| | | | - David S Pisetsky
- Department of Medicine and Department of Immunology, Duke University Medical Center, Durham, NC, USA; Medical Research Service, Veterans Administration Medical Center, Durham, NC, USA
| | - Salvatore Albani
- Translational Immunology Institute, SingHealth Duke-NUS Academic Medical Centre, Singapore; Duke-NUS Medical School, Singapore; Rheumatology and Immunology Service, KK Women's and Children's Hospital, Singapore
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13
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Mohammed Y, Goodlett D, Borchers CH. Absolute Quantitative Targeted Proteomics Assays for Plasma Proteins. Methods Mol Biol 2023; 2628:439-473. [PMID: 36781801 DOI: 10.1007/978-1-0716-2978-9_27] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/15/2023]
Abstract
Preclinical and clinical trials require rapid, precise, and multiplexed analytical methods to characterize the complex samples and to allow high-throughput biomarker monitoring with low consumption of sample material. Targeted proteomics has been used to address these challenges when quantifying protein abundances in complex biological matrices. In many of these studies, blood plasma is collected either as the main research or diagnostic sample or in combination with other specimens. Mass spectrometry (MS)-based targeted proteomics using multiple reaction monitoring (MRM) or parallel reaction monitoring (PRM) with stable isotope-labeled internal standard (SIS) peptides allows robust characterization of blood plasma protein via absolute quantification. Compared to other commonly used technologies like enzyme-linked immunosorbent assay (ELISA), targeted proteomics is faster, more sensitive, and more cost-effective. Here we describe a protocol for the quantification of proteins in blood plasma using targeted MRM proteomics with heavy-labeled internal standards. The 270-protein panel allows rapid and robust absolute quantitative proteomic characterization of blood plasma in a 1 h gradient. The method we describe here works for non-depleted plasma, which makes it simple and easy to implement. Moreover, the protocol works with the two most commonly used blood plasma collection methods used in practice, namely, either K2EDTA or sodium citrate as anticoagulants.
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Affiliation(s)
- Yassene Mohammed
- Center for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, The Netherlands. .,University of Victoria - Genome BC Proteomics Centre, Victoria, BC, Canada.
| | - David Goodlett
- University of Victoria - Genome BC Proteomics Centre, Victoria, BC, Canada.,Department of Biochemistry and Microbiology, University of Victoria, Victoria, BC, Canada.,University of Gdansk, International Centre for Cancer Vaccine Science, Gdansk, Poland
| | - Christoph H Borchers
- Proteomics Centre, Segal Cancer Centre, Lady Davis Institute, Jewish General Hospital, McGill University, Montreal, QC, Canada.,Gerald Bronfman Department of Oncology, Jewish General Hospital, Montreal, QC, Canada.,Division of Experimental Medicine, McGill University, Montreal, QC, Canada.,Department of Pathology, McGill University, Montreal, QC, Canada
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14
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Li J, Sato T, Hernández-Tejero M, Beier JI, Sayed K, Benos PV, Wilkey DW, Humar A, Merchant ML, Duarte-Rojo A, Arteel GE. The plasma degradome reflects later development of NASH fibrosis after liver transplant. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.01.30.526241. [PMID: 36778394 PMCID: PMC9915514 DOI: 10.1101/2023.01.30.526241] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
Although liver transplantation (LT) is an effective therapy for cirrhosis, the risk of post-LT NASH is alarmingly high and is associated with accelerated progression to fibrosis/cirrhosis, cardiovascular disease, and decreased survival. Lack of risk stratification strategies hamper liver undergoes significant remodeling during inflammatory injury. During such remodeling, degraded peptide fragments (i.e., 'degradome') of the ECM and other proteins increase in plasma, making it a useful diagnostic/prognostic tool in chronic liver disease. To investigate whether inflammatory liver injury caused by post-LT NASH would yield a unique degradome profile, predictive of severe post-LT NASH fibrosis, we performed a retrospective analysis of 22 biobanked samples from the Starzl Transplantation Institute (12 with post-LT NASH after 5 years and 10 without). Total plasma peptides were isolated and analyzed by 1D-LC-MS/MS analysis using a Proxeon EASY-nLC 1000 UHPLC and nanoelectrospray ionization into an Orbitrap Elite mass spectrometer. Qualitative and quantitative peptide features data were developed from MSn datasets using PEAKS Studio X (v10). LC-MS/MS yielded ∼2700 identifiable peptide features based on the results from Peaks Studio analysis. Several peptides were significantly altered in patients that later developed fibrosis and heatmap analysis of the top 25 most significantly-changed peptides, most of which were ECM-derived, clustered the 2 patient groups well. Supervised modeling of the dataset indicated that a fraction of the total peptide signal (∼15%) could explain the differences between the groups, indicating a strong potential for representative biomarker selection. A similar degradome profile was observed when the plasma degradome patterns were compared being obesity sensitive (C57Bl6/J) and insensitive (AJ) mouse strains. Both The plasma degradome profile of post-LT patients yields stark difference based on later development of post-LT NASH fibrosis. This approach could yield new "fingerprints" that can serve as minimally-invasive biomarkers of negative outcomes post-LT.
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15
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Sato T, Head KZ, Li J, Dolin CE, Wilkey D, Skirtich N, Smith K, McCreary DD, Liu S, Beier JI, Singhi AD, McEnaney RM, Merchant ML, Arteel GE. Fibrosis resolution in the mouse liver: Role of Mmp12 and potential role of calpain 1/2. Matrix Biol Plus 2023; 17:100127. [PMID: 36632559 PMCID: PMC9826883 DOI: 10.1016/j.mbplus.2022.100127] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2022] [Revised: 12/05/2022] [Accepted: 12/25/2022] [Indexed: 12/29/2022] Open
Abstract
Although most work has focused on resolution of collagen ECM, fibrosis resolution involves changes to several ECM proteins. The purpose of the current study was twofold: 1) to examine the role of MMP12 and elastin; and 2) to investigate the changes in degraded proteins in plasma (i.e., the "degradome") in a preclinical model of fibrosis resolution. Fibrosis was induced by 4 weeks carbon tetrachloride (CCl4) exposure, and recovery was monitored for an additional 4 weeks. Some mice were treated with daily MMP12 inhibitor (MMP408) during the resolution phase. Liver injury and fibrosis was monitored by clinical chemistry, histology and gene expression. The release of degraded ECM peptides in the plasma was analyzed using by 1D-LC-MS/MS, coupled with PEAKS Studio (v10) peptide identification. Hepatic fibrosis and liver injury rapidly resolved in this mouse model. However, some collagen fibrils were still present 28d after cessation of CCl4. Despite this persistent collagen presence, expression of canonical markers of fibrosis were also normalized. The inhibition of MMP12 dramatically delayed fibrosis resolution under these conditions. LC-MS/MS analysis identified that several proteins were being degraded even at late stages of fibrosis resolution. Calpains 1/2 were identified as potential new proteases involved in fibrosis resolution. CONCLUSION. The results of this study indicate that remodeling of the liver during recovery from fibrosis is a complex and highly coordinated process that extends well beyond the degradation of the collagenous scar. These results also indicate that analysis of the plasma degradome may yield new insight into the mechanisms of fibrosis recovery, and by extension, new "theragnostic" targets. Lastly, a novel potential role for calpain activation in the degradation and turnover of proteins was identified.
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Affiliation(s)
- Toshifumi Sato
- Department of Medicine, Division of Gastroenterology, Hepatology and Nutrition, United States
| | - Kimberly Z. Head
- Department of Pharmacology and Chemical Biology, University of Pittsburgh, Pittsburgh, PA 15213, United States
| | - Jiang Li
- Department of Medicine, Division of Gastroenterology, Hepatology and Nutrition, United States
| | - Christine E. Dolin
- Department of Pharmacology and Toxicology, University of Louisville, Louisville, KY 40292, United States
| | - Daniel Wilkey
- Department of Medicine, Division of Nephrology and Hypertension, University of Louisville, Louisville, KY 40292, United States
- University of Louisville Alcohol Research Center, University of Louisville, Louisville, KY 40292, United States
| | - Nolan Skirtich
- Department of Surgery, University of Pittsburgh, Pittsburgh, PA 15213, United States
| | - Katelyn Smith
- Department of Pathology, University of Pittsburgh, Pittsburgh, PA 15213, United States
| | - Dylan D. McCreary
- Department of Surgery, University of Pittsburgh, Pittsburgh, PA 15213, United States
| | - Sylvia Liu
- Department of Pathology, University of Pittsburgh, Pittsburgh, PA 15213, United States
- Pittsburgh Liver Research Center, University of Pittsburgh, Pittsburgh, PA 15213, United States
| | - Juliane I. Beier
- Department of Medicine, Division of Gastroenterology, Hepatology and Nutrition, United States
- Pittsburgh Liver Research Center, University of Pittsburgh, Pittsburgh, PA 15213, United States
- Department of Environmental and Occupational Health, University of Pittsburgh, Pittsburgh, PA 15213, United States
| | - Aatur D. Singhi
- Department of Pathology, University of Pittsburgh, Pittsburgh, PA 15213, United States
- Pittsburgh Liver Research Center, University of Pittsburgh, Pittsburgh, PA 15213, United States
| | - Ryan M. McEnaney
- Department of Surgery, University of Pittsburgh, Pittsburgh, PA 15213, United States
| | - Michael L. Merchant
- Department of Medicine, Division of Nephrology and Hypertension, University of Louisville, Louisville, KY 40292, United States
- University of Louisville Alcohol Research Center, University of Louisville, Louisville, KY 40292, United States
| | - Gavin E. Arteel
- Department of Medicine, Division of Gastroenterology, Hepatology and Nutrition, United States
- Pittsburgh Liver Research Center, University of Pittsburgh, Pittsburgh, PA 15213, United States
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16
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Sato S, Gillette M, de Santiago PR, Kuhn E, Burgess M, Doucette K, Feng Y, Mendez-Dorantes C, Ippoliti PJ, Hobday S, Mitchell MA, Doberstein K, Gysler SM, Hirsch MS, Schwartz L, Birrer MJ, Skates SJ, Burns KH, Carr SA, Drapkin R. LINE-1 ORF1p as a candidate biomarker in high grade serous ovarian carcinoma. Sci Rep 2023; 13:1537. [PMID: 36707610 PMCID: PMC9883229 DOI: 10.1038/s41598-023-28840-5] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2022] [Accepted: 01/25/2023] [Indexed: 01/29/2023] Open
Abstract
Long interspersed element 1 (LINE-1) open reading frame 1 protein (ORF1p) expression is a common feature of many cancer types, including high-grade serous ovarian carcinoma (HGSOC). Here, we report that ORF1p is not only expressed but also released by ovarian cancer and primary tumor cells. Immuno-multiple reaction monitoring-mass spectrometry assays showed that released ORF1p is confidently detectable in conditioned media, ascites, and patients' plasma, implicating ORF1p as a potential biomarker. Interestingly, ORF1p expression is detectable in fallopian tube (FT) epithelial precursors of HGSOC but not in benign FT, suggesting that ORF1p expression in an early event in HGSOC development. Finally, treatment of FT cells with DNA methyltransferase inhibitors led to robust expression and release of ORF1p, validating the regulatory role of DNA methylation in LINE-1 repression in non-tumorigenic tissue.
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Affiliation(s)
- Sho Sato
- Penn Ovarian Cancer Research Center, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, 19104, USA
| | - Michael Gillette
- The Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA.,Division of Pulmonary and Critical Care Medicine, Massachusetts General Hospital, Boston, MA, 02114, USA.,Harvard Medical School, Boston, MA, 02115, USA
| | - Pamela R de Santiago
- Penn Ovarian Cancer Research Center, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, 19104, USA
| | - Eric Kuhn
- The Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
| | - Michael Burgess
- The Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
| | - Kristen Doucette
- The Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
| | - Yi Feng
- Penn Ovarian Cancer Research Center, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, 19104, USA
| | | | - Paul J Ippoliti
- The Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
| | - Sara Hobday
- Penn Ovarian Cancer Research Center, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, 19104, USA
| | - Marilyn A Mitchell
- Penn Ovarian Cancer Research Center, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, 19104, USA
| | - Kai Doberstein
- Penn Ovarian Cancer Research Center, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, 19104, USA
| | - Stefan M Gysler
- Penn Ovarian Cancer Research Center, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, 19104, USA
| | - Michelle S Hirsch
- Department of Pathology, Brigham and Women's Hospital, Boston, MA, 02115, USA.,Harvard Medical School, Boston, MA, 02115, USA
| | - Lauren Schwartz
- Department of Pathology and Laboratory Medicine, Hospital of the University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Michael J Birrer
- Department of Medicine, University of Alabama at Birmingham, Birmingham, AL, 35233, USA
| | - Steven J Skates
- Harvard Medical School, Boston, MA, 02115, USA.,Biostatistics and Computational Biology, Massachusetts General Hospital, Boston, MA, USA
| | - Kathleen H Burns
- Harvard Medical School, Boston, MA, 02115, USA.,Department of Oncologic Pathology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Steven A Carr
- The Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA.,Harvard Medical School, Boston, MA, 02115, USA
| | - Ronny Drapkin
- Penn Ovarian Cancer Research Center, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, 19104, USA. .,Basser Center for BRCA, Abramson Cancer Center, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, 19104, USA.
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17
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King CD, Kapp KL, Arul AB, Choi MJ, Robinson RAS. Advancements in automation for plasma proteomics sample preparation. Mol Omics 2022; 18:828-839. [PMID: 36048090 PMCID: PMC9879274 DOI: 10.1039/d2mo00122e] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023]
Abstract
Automation is necessary to increase sample processing throughput for large-scale clinical analyses. Replacement of manual pipettes with robotic liquid handler systems is especially helpful in processing blood-based samples, such as plasma and serum. These samples are very heterogenous, and protein expression can vary greatly from sample-to-sample, even for healthy controls. Detection of true biological changes requires that variation from sample preparation steps and downstream analytical detection methods, such as mass spectrometry, remains low. In this mini-review, we discuss plasma proteomics protocols and the benefits of automation towards enabling detection of low abundant proteins and providing low sample error and increased sample throughput. This discussion includes considerations for automation of major sample depletion and/or enrichment strategies for plasma toward mass spectrometry detection.
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Affiliation(s)
- Christina D King
- Department of Chemistry, Vanderbilt University, Nashville, Tennessee 37235, USA
| | - Kathryn L Kapp
- Department of Chemistry, Vanderbilt University, Nashville, Tennessee 37235, USA
- Vanderbilt Institute of Chemical Biology, Vanderbilt University, Nashville, Tennessee 37232, USA
| | - Albert B Arul
- Department of Chemistry, Vanderbilt University, Nashville, Tennessee 37235, USA
| | - Min Ji Choi
- Department of Chemistry, Vanderbilt University, Nashville, Tennessee 37235, USA
| | - Renã A S Robinson
- Department of Chemistry, Vanderbilt University, Nashville, Tennessee 37235, USA
- Vanderbilt Institute of Chemical Biology, Vanderbilt University, Nashville, Tennessee 37232, USA
- Department of Neurology, Vanderbilt University Medical Center, Nashville, Tennessee 37232, USA
- Vanderbilt Memory & Alzheimer's Center, Vanderbilt University Medical Center, Nashville, Tennessee 37212, USA
- Vanderbilt Brain Institute, Vanderbilt University, Nashville, Tennessee 37232, USA
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18
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Cifani P, Kentsis A. Quantitative Cell Proteomic Atlas: Pathway-Scale Targeted Mass Spectrometry for High-Resolution Functional Profiling of Cell Signaling. J Proteome Res 2022; 21:2535-2544. [PMID: 36154077 PMCID: PMC10494574 DOI: 10.1021/acs.jproteome.2c00223] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
In spite of extensive studies of cellular signaling, many fundamental processes such as pathway integration, cross-talk, and feedback remain poorly understood. To enable integrated and quantitative measurements of cellular biochemical activities, we have developed the Quantitative Cell Proteomics Atlas (QCPA). QCPA consists of panels of targeted mass spectrometry assays to determine the abundance and stoichiometry of regulatory post-translational modifications of sentinel proteins from most known physiologic and pathogenic signaling pathways in human cells. QCPA currently profiles 1 913 peptides from 469 effectors of cell surface signaling, apoptosis, stress response, gene expression, quiescence, and proliferation. For each protein, QCPA includes triplets of isotopically labeled peptides covering known post-translational regulatory sites to determine their stoichiometries and unmodified protein regions to measure total protein abundance. The QCPA framework incorporates analytes to control for technical variability of sample preparation and mass spectrometric analysis, including TrypQuant, a synthetic substrate for accurate quantification of proteolysis efficiency for proteins containing chemically modified residues. The ability to precisely and accurately quantify most known signaling pathways should enable improved chemoproteomic approaches for the comprehensive analysis of cell signaling and clinical proteomics of diagnostic specimens. QCPA is openly available at https://qcpa.mskcc.org.
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Affiliation(s)
- Paolo Cifani
- Molecular Pharmacology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, 10065 USA
| | - Alex Kentsis
- Molecular Pharmacology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, 10065 USA
- Tow Center for Developmental Oncology, Department of Pediatrics, Memorial Sloan Kettering Cancer Center, NY, 10065 USA
- Departments of Pediatrics, Pharmacology, and Physiology & Biophysics, Weill Medical College of Cornell University, NY, 10065 USA
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19
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Lee JE, Dan K, Kim HJ, Kim YM, Park KH. Plasma proteomic analysis to identify potential biomarkers of histologic chorioamnionitis in women with preterm premature rupture of membranes. PLoS One 2022; 17:e0270884. [PMID: 35797368 PMCID: PMC9262229 DOI: 10.1371/journal.pone.0270884] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2021] [Accepted: 06/18/2022] [Indexed: 01/08/2023] Open
Abstract
Introduction
To identify potential biomarkers in the plasma that could predict histologic chorioamnionitis (HCA) in women with preterm premature rupture of membranes (PPROM), using shotgun and targeted proteomic analyses.
Methods
This retrospective cohort study included 78 singleton pregnant women with PPROM (24–34 gestational weeks) who delivered within 96 h of blood sampling. Maternal plasma samples were analyzed by label-free liquid chromatography-tandem mass spectrometry for proteome profiling in a nested case-control study design (HCA cases vs. non-HCA controls [n = 9 each]). Differential expression of 12 candidate proteins was assessed by multiple reaction monitoring-mass spectrometry (MRM-MS) analysis in individual plasma samples from cases and controls matched by gestational age at sampling (n = 40, cohort 1). A validation study was further performed in an independent study group (n = 38, cohort 2) using ELISA and turbidimetric immunoassay for three differentially expressed proteins.
Results
Shotgun proteomics analyses yielded 18 proteins that were differentially expressed (P < 0.05) between HCA cases and non-HCA controls. MRM-MS analysis of 12 differentially expressed proteins further revealed that the CRP, C4A, and SAA4 levels were significantly increased in women with HCA. A multi-marker panel comprising plasma SAA4 and C4A showed enhanced potential for differentiating HCA from non-HCA women (area under the curve = 0.899). Additional validation of these findings by ELISA assays revealed that the CRP levels were significantly higher in women with HCA than in those without HCA, whereas the plasma levels of C4A and SAA4 did not significantly differ between the two groups.
Conclusions
Plasma C4A, SAA4, and CRP were identified as potential biomarkers for detecting HCA in women with PPROM, based on targeted and shotgun proteomic analyses, showing good accuracy when used as a combined dual-biomarker panel (C4A and SAA4). Nevertheless, ELISA validation of these proteins, except for CRP, may not yield clinically useful markers for predicting HCA.
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Affiliation(s)
- Ji Eun Lee
- Center for Theragnosis, Biomedical Research Division, Korea Institute of Science and Technology, Seoul, Korea
| | - Kisoon Dan
- Proteomics Core Facility, Biomedical Research Institute, Seoul National University Hospital, Seoul, Korea
| | - Hyeon Ji Kim
- Departments of Obstetrics and Gynecology, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam, Korea
| | - Yu Mi Kim
- Departments of Obstetrics and Gynecology, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam, Korea
| | - Kyo Hoon Park
- Departments of Obstetrics and Gynecology, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam, Korea
- * E-mail:
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20
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Houy S, Streit L, Drissa I, Rame M, Decraene C, Moog S, Brunaud L, Lanoix J, Chelbi R, Bihain F, Lacomme S, Lomazzi S, Campoli P, Vix M, Mutter D, Paramithiotis E, Dubessy C, Vitale N, Ory S, Gasman S. Dysfunction of calcium-regulated exocytosis at a single-cell level causes catecholamine hypersecretion in patients with pheochromocytoma. Cancer Lett 2022; 543:215765. [PMID: 35680072 DOI: 10.1016/j.canlet.2022.215765] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2022] [Revised: 05/13/2022] [Accepted: 05/28/2022] [Indexed: 11/27/2022]
Abstract
Neuroendocrine tumors constitute a heterogeneous group of tumors arising from hormone-secreting cells and are generally associated with a dysfunction of secretion. Pheochromocytoma (Pheo) is a neuroendocrine tumor that develops from chromaffin cells of the adrenal medulla, and is responsible for an excess of catecholamine secretion leading to severe clinical symptoms such as hypertension, elevated stroke risk and various cardiovascular complications. Surprisingly, while the hypersecretory activity of Pheo is well known to pathologists and clinicians, it has never been carefully explored at the cellular and molecular levels. In the present study, we have combined catecholamine secretion measurement by carbon fiber amperometry on human tumor cells directly cultured from freshly resected Pheos, with the analysis by mass spectrometry of the exocytotic proteins differentially expressed between the tumor and the matched adjacent non-tumor tissue. In most patients, catecholamine secretion recordings from single Pheo cells revealed a higher number of exocytic events per cell associated with faster kinetic parameters. Accordingly, we unravel significant tumor-associated modifications in the expression of key proteins involved in different steps of the calcium-regulated exocytic pathway. Altogether, our findings indicate that dysfunction of the calcium-regulated exocytosis at the level of individual Pheo cell is a cause of the tumor-associated hypersecretion of catecholamines.
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Affiliation(s)
- Sébastien Houy
- Centre National de la Recherche Scientifique, Université de Strasbourg, Institut des Neurosciences Cellulaires et Intégratives, F-67000, Strasbourg, France
| | - Laura Streit
- Centre National de la Recherche Scientifique, Université de Strasbourg, Institut des Neurosciences Cellulaires et Intégratives, F-67000, Strasbourg, France
| | - Inès Drissa
- Univ. Rouen, INSERM, Normandie Univ., Différenciation et Communication Neuroendocrine, Endocrine et Germinale, F-76000, Rouen, France
| | - Marion Rame
- Centre National de la Recherche Scientifique, Université de Strasbourg, Institut des Neurosciences Cellulaires et Intégratives, F-67000, Strasbourg, France
| | - Charles Decraene
- Centre National de la Recherche Scientifique, Université de Strasbourg, Institut des Neurosciences Cellulaires et Intégratives, F-67000, Strasbourg, France; Centre National de la Recherche Scientifique, Université de Strasbourg, Laboratoire de Neurosciences Cognitives et Adaptatives, F-67000 Strasbourg, France
| | - Sophie Moog
- Centre National de la Recherche Scientifique, Université de Strasbourg, Institut des Neurosciences Cellulaires et Intégratives, F-67000, Strasbourg, France
| | - Laurent Brunaud
- Département de Chirurgie Viscérale, Métabolique et Cancérologique (CVMC), INSERM NGERE-U1256, Université de Lorraine, CHRU NANCY, Hôpital Brabois adultes, F-54511, Vandœuvre-lès-Nancy, France
| | - Joël Lanoix
- Institut de Recherche en Immunologie et en Cancérologie (IRIC), Université de Montréal, Montréal, Canada, Département de Médecine, Université de Montréal, Montréal, QC H3C 3J7, Canada
| | - Rabie Chelbi
- Centre National de la Recherche Scientifique, Université de Strasbourg, Institut des Neurosciences Cellulaires et Intégratives, F-67000, Strasbourg, France; Inovarion, F-75005, Paris, France
| | - Florence Bihain
- Département de Chirurgie Viscérale, Métabolique et Cancérologique (CVMC), INSERM NGERE-U1256, Université de Lorraine, CHRU NANCY, Hôpital Brabois adultes, F-54511, Vandœuvre-lès-Nancy, France
| | - Stéphanie Lacomme
- Centre de Ressources Biologiques Lorrain, CHRU Nancy, Hôpitaux de Brabois, F-54511, Vandœuvre-lès-Nancy, France
| | - Sandra Lomazzi
- Centre de Ressources Biologiques Lorrain, CHRU Nancy, Hôpitaux de Brabois, F-54511, Vandœuvre-lès-Nancy, France
| | - Philippe Campoli
- Department of Biopathology, CHRU-ICL, CHRU Nancy, Vandoeuvre-lès-Nancy, France and Faculty of Medicine, Université de Lorraine, F-54511, Vandoeuvre-lès-Nancy, France
| | - Michel Vix
- NHC Strasbourg, Service de Chirurgie Digestive et Endocrinienne des Hôpitaux Universitaires de Strasbourg, Hôpital Civil, F-67000, Strasbourg, France
| | - Didier Mutter
- NHC Strasbourg, Service de Chirurgie Digestive et Endocrinienne des Hôpitaux Universitaires de Strasbourg, Hôpital Civil, F-67000, Strasbourg, France
| | | | - Christophe Dubessy
- Univ. Rouen, INSERM, Normandie Univ., Différenciation et Communication Neuroendocrine, Endocrine et Germinale, F-76000, Rouen, France; Univ. Rouen, INSERM, CNRS, HERACLES, PRIMACEN, F-76000, Rouen, France
| | - Nicolas Vitale
- Centre National de la Recherche Scientifique, Université de Strasbourg, Institut des Neurosciences Cellulaires et Intégratives, F-67000, Strasbourg, France
| | - Stéphane Ory
- Centre National de la Recherche Scientifique, Université de Strasbourg, Institut des Neurosciences Cellulaires et Intégratives, F-67000, Strasbourg, France
| | - Stéphane Gasman
- Centre National de la Recherche Scientifique, Université de Strasbourg, Institut des Neurosciences Cellulaires et Intégratives, F-67000, Strasbourg, France.
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21
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Urban J. A review on recent trends in the phosphoproteomics workflow. From sample preparation to data analysis. Anal Chim Acta 2022; 1199:338857. [DOI: 10.1016/j.aca.2021.338857] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2021] [Revised: 07/14/2021] [Accepted: 07/15/2021] [Indexed: 12/12/2022]
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22
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Lu HW, Kane AA, Parkinson J, Gao Y, Hajian R, Heltzen M, Goldsmith B, Aran K. The promise of graphene-based transistors for democratizing multiomics studies. Biosens Bioelectron 2022; 195:113605. [PMID: 34537553 DOI: 10.1016/j.bios.2021.113605] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2021] [Revised: 07/22/2021] [Accepted: 08/29/2021] [Indexed: 12/28/2022]
Abstract
As biological research has synthesized genomics, proteomics, metabolomics, and transcriptomics into systems biology, a new multiomics approach to biological research has emerged. Today, multiomics studies are challenging and expensive. An experimental platform that could unify the multiple omics approaches to measurement could increase access to multiomics data by enabling more individual labs to successfully attempt multiomics studies. Field effect biosensing based on graphene transistors have gained significant attention as a potential unifying technology for such multiomics studies. This review article highlights the outstanding performance characteristics that makes graphene field effect transistor an attractive sensing platform for a wide variety of analytes important to system biology. In addition to many studies demonstrating the biosensing capabilities of graphene field effect transistors, they are uniquely suited to address the challenges of multiomics studies by providing an integrative multiplex platform for large scale manufacturing using the well-established processes of semiconductor industry. Furthermore, the resulting digital data is readily analyzable by machine learning to derive actionable biological insight to address the challenge of data compatibility for multiomics studies. A critical stage of systems biology will be democratizing multiomics study, and the graphene field effect transistor is uniquely positioned to serve as an accessible multiomics platform.
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Affiliation(s)
- Hsiang-Wei Lu
- Keck Graduate Institute, The Claremont Colleges, Claremont, CA, 91711, USA; Cardea Bio, San Diego, CA, 92121, USA
| | | | | | | | - Reza Hajian
- Keck Graduate Institute, The Claremont Colleges, Claremont, CA, 91711, USA; Cardea Bio, San Diego, CA, 92121, USA
| | | | | | - Kiana Aran
- Keck Graduate Institute, The Claremont Colleges, Claremont, CA, 91711, USA; Cardea Bio, San Diego, CA, 92121, USA.
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23
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Forensic proteomics. Forensic Sci Int Genet 2021; 54:102529. [PMID: 34139528 DOI: 10.1016/j.fsigen.2021.102529] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2020] [Revised: 05/06/2021] [Accepted: 05/07/2021] [Indexed: 12/19/2022]
Abstract
Protein is a major component of all biological evidence, often the matrix that embeds other biomolecules such as polynucleotides, lipids, carbohydrates, and small molecules. The proteins in a sample reflect the transcriptional and translational program of the originating cell types. Because of this, proteins can be used to identify body fluids and tissues, as well as convey genetic information in the form of single amino acid polymorphisms, the result of non-synonymous SNPs. This review explores the application and potential of forensic proteomics. The historical role that protein analysis played in the development of forensic science is examined. This review details how innovations in proteomic mass spectrometry have addressed many of the historical limitations of forensic protein science, and how the application of forensic proteomics differs from proteomics in the life sciences. Two more developed applications of forensic proteomics are examined in detail: body fluid and tissue identification, and proteomic genotyping. The review then highlights developing areas of proteomics that have the potential to impact forensic science in the near future: fingermark analysis, species identification, peptide toxicology, proteomic sex estimation, and estimation of post-mortem intervals. Finally, the review highlights some of the newer innovations in proteomics that may drive further development of the field. In addition to potential impact, this review also attempts to evaluate the stage of each application in the development, validation and implementation process. This review is targeted at investigators who are interested in learning about proteomics in a forensic context and expanding the amount of information they can extract from biological evidence.
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24
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Abstract
Biomarkers factor into the diagnosis and treatment of almost every patient with cancer. The innovation in proteomics follows improvement of mass spectrometry techniques and data processing strategy. Recently, proteomics and typical biological studies have been the answer for clinical applications. The clinical proteomics techniques are now actively adapted to protein identification in large patient cohort, biomarker development for more sensitive and specific screening based on quantitative data. And, it is important for clinical, translational researchers to be acutely aware of the issues surrounding appropriate biomarker development, in order to facilitate entry of clinically useful biomarkers into the clinic. Here, we discuss in detail include the case research for clinical proteomics. Furthermore, we give an overview on the current developments and novel findings in proteomics-based cancer biomarker research.
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25
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Pino LK, Baeza J, Lauman R, Schilling B, Garcia BA. Improved SILAC Quantification with Data-Independent Acquisition to Investigate Bortezomib-Induced Protein Degradation. J Proteome Res 2021; 20:1918-1927. [PMID: 33764077 DOI: 10.1021/acs.jproteome.0c00938] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
Stable isotope labeling by amino acids in cell culture (SILAC) coupled to data-dependent acquisition (DDA) is a common approach to quantitative proteomics with the desirable benefit of reducing batch effects during sample processing and data acquisition. More recently, using data-independent acquisition (DIA/SWATH) to systematically measure peptides has gained popularity for its comprehensiveness, reproducibility, and accuracy of quantification. The complementary advantages of these two techniques logically suggests combining them. Here we develop a SILAC-DIA-MS workflow using free, open-source software. We empirically determine that using DIA achieves similar peptide detection numbers as DDA and that DIA improves the quantitative accuracy and precision of SILAC by an order of magnitude. Finally, we apply SILAC-DIA-MS to determine protein turnover rates of cells treated with bortezomib, an FDA-approved 26S proteasome inhibitor for multiple myeloma and mantle cell lymphoma. We observe that SILAC-DIA produces more sensitive protein turnover models. Of the proteins determined to be differentially degraded by both acquisition methods, we find known proteins that are degraded by the ubiquitin-proteasome pathway, such as HNRNPK, EIF3A, and IF4A1/EIF4A-1, and a slower turnover for CATD, a protein implicated in invasive breast cancer. With improved quantification from DIA, we anticipate that this workflow will make SILAC-based experiments like protein turnover more sensitive.
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Affiliation(s)
- Lindsay K Pino
- Department of Biochemistry and Biophysics, University of Pennsylvania, Philadelphia, Pennsylvania 19104, United States
| | - Josue Baeza
- Department of Biochemistry and Biophysics, University of Pennsylvania, Philadelphia, Pennsylvania 19104, United States
| | - Richard Lauman
- Department of Biochemistry and Biophysics, University of Pennsylvania, Philadelphia, Pennsylvania 19104, United States
| | - Birgit Schilling
- Buck Institute for Research on Aging, Novato, California 94945, United States
| | - Benjamin A Garcia
- Department of Biochemistry and Biophysics, University of Pennsylvania, Philadelphia, Pennsylvania 19104, United States
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26
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Smit NPM, Ruhaak LR, Romijn FPHTM, Pieterse MM, van der Burgt YEM, Cobbaert CM. The Time Has Come for Quantitative Protein Mass Spectrometry Tests That Target Unmet Clinical Needs. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2021; 32:636-647. [PMID: 33522792 PMCID: PMC7944566 DOI: 10.1021/jasms.0c00379] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/09/2020] [Revised: 12/22/2020] [Accepted: 01/19/2021] [Indexed: 05/04/2023]
Abstract
Protein mass spectrometry (MS) is an enabling technology that is ideally suited for precision diagnostics. In contrast to immunoassays with indirect readouts, MS quantifications are multiplexed and include identification of proteoforms in a direct manner. Although widely used for routine measurements of drugs and metabolites, the number of clinical MS-based protein applications is limited. In this paper, we share our experience and aim to take away the concerns that have kept laboratory medicine from implementing quantitative protein MS. To ensure added value of new medical tests and guarantee accurate test results, five key elements of test evaluation have been established by a working group within the European Federation for Clinical Chemistry and Laboratory Medicine. Moreover, it is emphasized to identify clinical gaps in the contemporary clinical pathways before test development is started. We demonstrate that quantitative protein MS tests that provide an additional layer of clinical information have robust performance and meet long-term desirable analytical performance specifications as exemplified by our own experience. Yet, the adoption of quantitative protein MS tests into medical laboratories is seriously hampered due to its complexity, lack of robotization and high initial investment costs. Successful and widespread implementation in medical laboratories requires uptake and automation of this next generation protein technology by the In-Vitro Diagnostics industry. Also, training curricula of lab workers and lab specialists should include education on enabling technologies for transitioning to precision medicine by quantitative protein MS tests.
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Affiliation(s)
- Nico P. M. Smit
- Department of Clinical Chemistry and
Laboratory Medicine, Leiden University Medical
Center, Albinusdreef 2, 2333 ZA Leiden, The Netherlands
| | - L. Renee Ruhaak
- Department of Clinical Chemistry and
Laboratory Medicine, Leiden University Medical
Center, Albinusdreef 2, 2333 ZA Leiden, The Netherlands
| | - Fred P. H. T. M. Romijn
- Department of Clinical Chemistry and
Laboratory Medicine, Leiden University Medical
Center, Albinusdreef 2, 2333 ZA Leiden, The Netherlands
| | - Mervin M. Pieterse
- Department of Clinical Chemistry and
Laboratory Medicine, Leiden University Medical
Center, Albinusdreef 2, 2333 ZA Leiden, The Netherlands
| | - Yuri E. M. van der Burgt
- Department of Clinical Chemistry and
Laboratory Medicine, Leiden University Medical
Center, Albinusdreef 2, 2333 ZA Leiden, The Netherlands
| | - Christa M. Cobbaert
- Department of Clinical Chemistry and
Laboratory Medicine, Leiden University Medical
Center, Albinusdreef 2, 2333 ZA Leiden, The Netherlands
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27
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Gao X, Chen C, Geng D, Bateman KP, Shi S, Woolf EJ, Xu Y. Volumetric absorptive microsampling (VAMS®) in therapeutic protein quantification by LC-MS/MS: Investigation of anticoagulant impact on assay performance and recommendations for best practices in method development. J Pharm Biomed Anal 2021; 196:113895. [PMID: 33486450 DOI: 10.1016/j.jpba.2021.113895] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2020] [Revised: 12/02/2020] [Accepted: 01/05/2021] [Indexed: 01/01/2023]
Abstract
Microsampling techniques have been employed as an alternative to traditional serum/plasma sampling because of their inherently proven and desirable advantages across the pharmaceutical industry. These include reduced animal usage in pre-clinical studies, as well as, permitting the collection of samples that would otherwise be inaccessible in clinical studies. The application of volumetric absorptive microsampling (VAMS®) technology, a second-generation dried microsampling method, coupled with LC-MS, has been extensively explored for small molecule drugs at various drug development stages. However, the potential of using VAMS technology and LC-MS analysis for biological therapeutic development has yet to be well-established. In this work, we describe the method development, validation, and a proof-of-concept non-human primate study of a LC-MS/MS method for VAMS utilized to obtain pharmacokinetic (PK) data for a therapeutic monoclonal antibody. A good correlation between VAMS data and data from conventional serum samples was established in rhesus monkeys and indicated the possibility of using of this novel sampling technology in clinical studies. However, during the initial clinical study, a significant difference in internal standard (IS) response between the patient fingerstick samples and the standard/QC samples was observed, which posed a question on the accuracy of the clinical results. A comprehensive investigation confirmed that the EDTA anticoagulant used in the standard/QC samples was the root cause of the observed anomalous IS responses. Special considerations and corresponding best practices during method development and validation are proposed to ensure early detection of potential issues and appropriate implementation of VAMS technology in clinical studies in the future.
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Affiliation(s)
- Xinliu Gao
- Analytical Research & Development Mass Spectrometry, Merck & Co., Inc., 2000 Galloping Hill Road Kenilworth, NJ, 07033, USA.
| | - Cindy Chen
- Pharmacokinetics, Pharmacodynamics and Drug Metabolism, Merck & Co., Inc, 770 Sumneytown Pike, WP75B-300, West Point, PA, 19486, USA
| | - Dong Geng
- Pharmacokinetics, Pharmacodynamics and Drug Metabolism, Merck & Co., Inc, 770 Sumneytown Pike, WP75B-300, West Point, PA, 19486, USA
| | - Kevin P Bateman
- Pharmacokinetics, Pharmacodynamics and Drug Metabolism, Merck & Co., Inc, 770 Sumneytown Pike, WP75B-300, West Point, PA, 19486, USA
| | - Shuangping Shi
- Pharmacokinetics, Pharmacodynamics and Drug Metabolism, Merck & Co., Inc, 770 Sumneytown Pike, WP75B-300, West Point, PA, 19486, USA
| | - Eric J Woolf
- Pharmacokinetics, Pharmacodynamics and Drug Metabolism, Merck & Co., Inc, 770 Sumneytown Pike, WP75B-300, West Point, PA, 19486, USA
| | - Yang Xu
- Pharmacokinetics, Pharmacodynamics and Drug Metabolism, Merck & Co., Inc, 770 Sumneytown Pike, WP75B-300, West Point, PA, 19486, USA.
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28
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Rozanova S, Barkovits K, Nikolov M, Schmidt C, Urlaub H, Marcus K. Quantitative Mass Spectrometry-Based Proteomics: An Overview. Methods Mol Biol 2021; 2228:85-116. [PMID: 33950486 DOI: 10.1007/978-1-0716-1024-4_8] [Citation(s) in RCA: 89] [Impact Index Per Article: 29.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
In recent decades, mass spectrometry has moved more than ever before into the front line of protein-centered research. After being established at the qualitative level, the more challenging question of quantification of proteins and peptides using mass spectrometry has become a focus for further development. In this chapter, we discuss and review actual strategies and problems of the methods for the quantitative analysis of peptides, proteins, and finally proteomes by mass spectrometry. The common themes, the differences, and the potential pitfalls of the main approaches are presented in order to provide a survey of the emerging field of quantitative, mass spectrometry-based proteomics.
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Affiliation(s)
- Svitlana Rozanova
- Medizinisches Proteom-Center, Medical Faculty, Ruhr-University Bochum, Bochum, Germany.,Medical Proteome Analysis, Center for protein diagnostics (PRODI), Ruhr-University Bochum, Bochum, Germany
| | - Katalin Barkovits
- Medizinisches Proteom-Center, Medical Faculty, Ruhr-University Bochum, Bochum, Germany.,Medical Proteome Analysis, Center for protein diagnostics (PRODI), Ruhr-University Bochum, Bochum, Germany
| | - Miroslav Nikolov
- Bioanalytical Mass Spectrometry Group, Max Planck Institute for Biophysical Chemistry, Goettingen, Germany
| | - Carla Schmidt
- Interdisciplinary Research Center HALOmem, Charles Tanford Protein Center, Institute for Biochemistry and Biotechnology, Martin Luther University Halle-Wittenberg, Halle, Germany
| | - Henning Urlaub
- Bioanalytical Mass Spectrometry Group, Max Planck Institute for Biophysical Chemistry, Goettingen, Germany.,Bioanalytics Group, Institute of Clinical Chemistry, University Medical Center Goettingen, Goettingen, Germany.,Hematology/Oncology, Department of Medicine II, Johann Wolfgang Goethe University, Frankfurt, Germany
| | - Katrin Marcus
- Medizinisches Proteom-Center, Medical Faculty, Ruhr-University Bochum, Bochum, Germany. .,Medical Proteome Analysis, Center for protein diagnostics (PRODI), Ruhr-University Bochum, Bochum, Germany.
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29
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Herb-drug interaction: The effect of Polygonum capitatum extract on pharmacokinetics of levofloxacin in rats. J Pharm Biomed Anal 2020; 195:113832. [PMID: 33349475 DOI: 10.1016/j.jpba.2020.113832] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2020] [Revised: 11/17/2020] [Accepted: 12/04/2020] [Indexed: 10/22/2022]
Abstract
Polygonum capitatum is a traditional medicinal plant of the Miao people and has been used to treat a variety of urological disorders in China for many years. Preparations made from water-soluble P. capitatum extracts, Relinqing® granules, are often used in combination with levofloxacin to treat urinary tract infections, and have demonstrated better clinical efficacy than either drug alone. As there is no information on the pharmacokinetics of both drugs after co-administration, a sensitive and reliable ultra-performance liquid chromatography-tandem mass spectrometry method was developed and validated to study the potential herb-drug interactions between P. capitatum and levofloxacin. This analytical method delivered high levels of specificity, recovery, accuracy, precision and preserved sample stability. When applied to study pharmacokinetic interactions after oral co-administration of P. capitatum extract (1.86 g kg-1) and levofloxacin (42 mg kg-1) in rats, the results indicated significant reductions in Cmax and AUC0-24h of levofloxacin, and significant increases in MRT, Tmax, CLz/F and Vz/F. Moreover, pretreatment with P. capitatum extract orally did not alter the intravenous pharmacokinetics of levofloxacin. Combined and compared oral pharmacokinetic parameters, suggesting that the interacting targets might localized in the intestine during absorption. Overall, the results revealed a potential herb-drug interaction between P. capitatum and levofloxacin.
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30
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Illiano A, Pinto G, Melchiorre C, Carpentieri A, Faraco V, Amoresano A. Protein Glycosylation Investigated by Mass Spectrometry: An Overview. Cells 2020; 9:E1986. [PMID: 32872358 PMCID: PMC7564411 DOI: 10.3390/cells9091986] [Citation(s) in RCA: 36] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2020] [Revised: 08/14/2020] [Accepted: 08/24/2020] [Indexed: 12/16/2022] Open
Abstract
The protein glycosylation is a post-translational modification of crucial importance for its involvement in molecular recognition, protein trafficking, regulation, and inflammation. Indeed, abnormalities in protein glycosylation are correlated with several disease states such as cancer, inflammatory diseases, and congenial disorders. The understanding of cellular mechanisms through the elucidation of glycan composition encourages researchers to find analytical solutions for their detection. Actually, the multiplicity and diversity of glycan structures bond to the proteins, the variations in polarity of the individual saccharide residues, and the poor ionization efficiencies make their detection much trickier than other kinds of biopolymers. An overview of the most prominent techniques based on mass spectrometry (MS) for protein glycosylation (glycoproteomics) studies is here presented. The tricks and pre-treatments of samples are discussed as a crucial step prodromal to the MS analysis to improve the glycan ionization efficiency. Therefore, the different instrumental MS mode is also explored for the qualitative and quantitative analysis of glycopeptides and the glycans structural composition, thus contributing to the elucidation of biological mechanisms.
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Affiliation(s)
- Anna Illiano
- Department of Chemical Sciences, University of Naples Federico II, Via Cinthia 26, 80126 Napoles, Italy; (A.I.); (G.P.); (C.M.); (A.C.); (A.A.)
- CEINGE Advanced Biotechnology, University of Naples Federico II, Via Cinthia 26, 80126 Napoles, Italy
| | - Gabriella Pinto
- Department of Chemical Sciences, University of Naples Federico II, Via Cinthia 26, 80126 Napoles, Italy; (A.I.); (G.P.); (C.M.); (A.C.); (A.A.)
| | - Chiara Melchiorre
- Department of Chemical Sciences, University of Naples Federico II, Via Cinthia 26, 80126 Napoles, Italy; (A.I.); (G.P.); (C.M.); (A.C.); (A.A.)
| | - Andrea Carpentieri
- Department of Chemical Sciences, University of Naples Federico II, Via Cinthia 26, 80126 Napoles, Italy; (A.I.); (G.P.); (C.M.); (A.C.); (A.A.)
| | - Vincenza Faraco
- Department of Chemical Sciences, University of Naples Federico II, Via Cinthia 26, 80126 Napoles, Italy; (A.I.); (G.P.); (C.M.); (A.C.); (A.A.)
| | - Angela Amoresano
- Department of Chemical Sciences, University of Naples Federico II, Via Cinthia 26, 80126 Napoles, Italy; (A.I.); (G.P.); (C.M.); (A.C.); (A.A.)
- Istituto Nazionale Biostrutture e Biosistemi—Consorzio Interuniversitario, Viale delle Medaglie d’Oro, 305, 00136 Rome, Italy
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Jeong H, Vacanti NM. Systemic vitamin intake impacting tissue proteomes. Nutr Metab (Lond) 2020; 17:73. [PMID: 32863845 PMCID: PMC7449053 DOI: 10.1186/s12986-020-00491-7] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2020] [Accepted: 08/07/2020] [Indexed: 12/12/2022] Open
Abstract
The kinetics and localization of the reactions of metabolism are coordinated by the enzymes that catalyze them. These enzymes are controlled via a myriad of mechanisms including inhibition/activation by metabolites, compartmentalization, thermodynamics, and nutrient sensing-based transcriptional or post-translational regulation; all of which are influenced as a network by the activities of metabolic enzymes and have downstream potential to exert direct or indirect control over protein abundances. Considering many of these enzymes are active only when one or more vitamin cofactors are present; the availability of vitamin cofactors likely yields a systems-influence over tissue proteomes. Furthermore, vitamins may influence protein abundances as nuclear receptor agonists, antioxidants, substrates for post-translational modifications, molecular signal transducers, and regulators of electrolyte homeostasis. Herein, studies of vitamin intake are explored for their contribution to unraveling vitamin influence over protein expression. As a body of work, these studies establish vitamin intake as a regulator of protein abundance; with the most powerful demonstrations reporting regulation of proteins directly related to the vitamin of interest. However, as a whole, the field has not kept pace with advances in proteomic platforms and analytical methodologies, and has not moved to validate mechanisms of regulation or potential for clinical application.
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Affiliation(s)
- Heesoo Jeong
- Division of Nutritional Sciences, Cornell University, Ithaca, NY USA
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Kotol D, Hunt H, Hober A, Karlsson MJ, Forsström B, Gummesson A, Bergström G, Fagerberg L, Uhlén M, Edfors F. Longitudinal Plasma Protein Profiling Using Targeted Proteomics and Recombinant Protein Standards. J Proteome Res 2020; 19:4815-4825. [DOI: 10.1021/acs.jproteome.0c00194] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Affiliation(s)
- David Kotol
- Department of Protein Science, School of Chemistry, Biotechnology and Health, Royal Institute of Technology (KTH), SE-10044 Stockholm, Sweden
- Science For Life Laboratory, SE-17165 Solna, Sweden
| | - Helian Hunt
- Department of Protein Science, School of Chemistry, Biotechnology and Health, Royal Institute of Technology (KTH), SE-10044 Stockholm, Sweden
- Science For Life Laboratory, SE-17165 Solna, Sweden
| | - Andreas Hober
- Department of Protein Science, School of Chemistry, Biotechnology and Health, Royal Institute of Technology (KTH), SE-10044 Stockholm, Sweden
- Science For Life Laboratory, SE-17165 Solna, Sweden
| | - Max J. Karlsson
- Department of Protein Science, School of Chemistry, Biotechnology and Health, Royal Institute of Technology (KTH), SE-10044 Stockholm, Sweden
- Science For Life Laboratory, SE-17165 Solna, Sweden
| | - Björn Forsström
- Department of Protein Science, School of Chemistry, Biotechnology and Health, Royal Institute of Technology (KTH), SE-10044 Stockholm, Sweden
- Science For Life Laboratory, SE-17165 Solna, Sweden
| | - Anders Gummesson
- Department of Molecular and Clinical Medicine, Sahlgrenska Academy, University of Gothenburg, and Clinical Physiology, Sahlgrenska University Hospital, SE-40530 Gothenburg, Sweden
| | - Göran Bergström
- Department of Molecular and Clinical Medicine, Sahlgrenska Academy, University of Gothenburg, and Clinical Physiology, Sahlgrenska University Hospital, SE-40530 Gothenburg, Sweden
| | | | - Mathias Uhlén
- Department of Protein Science, School of Chemistry, Biotechnology and Health, Royal Institute of Technology (KTH), SE-10044 Stockholm, Sweden
- Science For Life Laboratory, SE-17165 Solna, Sweden
- Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, DK-2970 Hørsholm, Denmark
| | - Fredrik Edfors
- Department of Protein Science, School of Chemistry, Biotechnology and Health, Royal Institute of Technology (KTH), SE-10044 Stockholm, Sweden
- Science For Life Laboratory, SE-17165 Solna, Sweden
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Preparation of Tissue Samples for Large-scale Quantitative Mass Spectrometric Analysis. BIOTECHNOL BIOPROC E 2020. [DOI: 10.1007/s12257-019-0495-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
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Label-Free Multiple Reaction Monitoring, a Promising Method for Quantification Analyses of Specific Proteins in Bacteria. Int J Mol Sci 2020; 21:ijms21144924. [PMID: 32664686 PMCID: PMC7404251 DOI: 10.3390/ijms21144924] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2020] [Revised: 07/09/2020] [Accepted: 07/10/2020] [Indexed: 02/06/2023] Open
Abstract
Bacillus subtilis produces eight industrially important exo-proteases. For the detection of proteases, the activity- and antibody-based assays are normally used. Current activity-based assays require expensive multiplex chemical substrates which allow specificity determination of each enzyme. In this study, we provide evidences pertaining to the usefulness of the label-free multiple reaction monitoring (MRM) assay for a rapid identification and quantitation of specific proteins in bacteria. We used wild-type B. pumilus cells producing at least two serine proteases, subtilisin-like protease (AprBp) and glutamyl endopeptidase (GseBp), as well as optimized recombinant B. subtilis cells containing the same protease genes under control of the LIKE expression system. The Skyline software was used for the selection of three specific proteotypic peptides and their fragment ions for quantification and confirmation of AprBp and GseBp in complex mixtures. MRM indicated that the production of AprBp and GseBp exo-enzymes were respectively 0.9- and 26.6-fold higher in the culture medium of B. pumilus strain in comparison to the recombinant B. subtilis strains carrying optimized LIKE expression systems under identical conditions. The developed procedure in this study is fast, easy to perform and dependable. Additionally, it achieves accurate proteins identification and quantification in complex mixture.
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Parry S, Leite R, Esplin MS, Bukowski R, Zhang H, Varner M, Andrews WW, Saade GR, Ilekis J, Reddy UM, Huang H, Sadovsky Y, Blair IA, Biggio J. Cervicovaginal fluid proteomic analysis to identify potential biomarkers for preterm birth. Am J Obstet Gynecol 2020; 222:493.e1-493.e13. [PMID: 31758918 PMCID: PMC7196033 DOI: 10.1016/j.ajog.2019.11.1252] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2019] [Revised: 11/07/2019] [Accepted: 11/13/2019] [Indexed: 12/18/2022]
Abstract
BACKGROUND Spontaneous preterm birth is a leading cause of neonatal morbidity and mortality. Early identification of at-risk women by reliable screening tests could reduce the spontaneous preterm birth rate, but conventional methods such as obstetrical history and maternal cervical length screening identify only a minority of spontaneous preterm birth cases. Cervicovaginal fluid might prove to be a useful, readily available biological fluid for identifying spontaneous preterm birth biomarkers. OBJECTIVE The objective of the study was to identify cervicovaginal fluid biomarkers of early spontaneous preterm birth in a high-risk cohort of pregnant women with a history of spontaneous preterm birth using targeted and shotgun proteomic analyses. STUDY DESIGN A nested case control study (cases were spontaneous preterm birth <34 weeks in the current pregnancy; controls were spontaneous labor and delivery at 39-41 weeks) was performed using cervicovaginal fluid samples collected at 3 study visits (100/7 to 186/7 weeks, 190/7 to 236/7 weeks, and 280/7 to 316/7 weeks). All participants had a history of at least 1 prior spontaneous preterm birth. Targeted proteomic analysis was performed using a stable isotope-labeled proteome derived from endocervical and vaginal mucosal cells. This served as a standard to quantitate candidate protein levels in individual cervicovaginal fluid samples from the second and third study visits using liquid chromatography-multiple reaction monitoring mass spectrometry. The ratio of endogenous peptide area/stable isotope-labeled proteome-derived peptide area was used to measure levels of 42 peptides in 22 proteins. To maximize biomarker discovery in the cervicovaginal fluid samples, shotgun proteomic analysis also was performed utilizing liquid chromatography and ion trap mass spectrometry. A validation study was performed in second-trimester cervicovaginal fluid samples from an independent study group (12 spontaneous preterm birth cases, 19 term delivery controls) using enzyme-linked immunosorbent assay for 5 proteins expressed at higher levels in spontaneous preterm birth cases compared with controls in targeted or shotgun proteomic analyses. RESULTS For targeted proteomics, cervicovaginal fluid samples from 33 cases and 32 controls at 190/7 to 236/7 weeks and 16 cases and 14 controls at 280/7 to 316/7 weeks from the same pregnancies were analyzed. When samples were compared between cases and controls, the relative abundance of 5 proteins was greater (P = .02-.05) in cases at both visits, while the relative abundance of 1 protein was lower (P = .03) in cases at both visits. For shotgun proteomics analyses, cervicovaginal fluid samples were pooled for 9 spontaneous preterm birth cases and 9 term delivery controls at each study visit. Shotgun proteomics yielded 28 proteins that were detected at levels >2 times higher and 1 protein that was detected at a level <0.5 times lower in spontaneous preterm birth cases compared with controls at all 3 study visits. Validation enzyme-linked immunosorbent assay for 5 proteins that were detected at higher levels in cervicovaginal fluid samples from spontaneous preterm birth cases compared with term delivery controls in proteomics analyses did not demonstrate statistically significant differences between spontaneous preterm birth cases and controls. CONCLUSIONS Potential biomarkers of spontaneous preterm birth were identified by targeted and shotgun proteomics analyses in cervicovaginal fluid samples from high-risk, asymptomatic women. Many of the proteins detected at higher levels in cervicovaginal fluid samples from spontaneous preterm birth cases are extracellular matrix proteins and/or regulate cell membrane physiology. These proteins have substantial biological interest, but validation enzyme-linked immunosorbent assay for 5 of these proteins did not yield clinically useful biomarkers for spontaneous preterm birth.
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Affiliation(s)
- Samuel Parry
- Department of Obstetrics and Gynecology, University of Pennsylvania School of Medicine, Philadelphia, PA.
| | - Rita Leite
- Department of Obstetrics and Gynecology, University of Pennsylvania School of Medicine, Philadelphia, PA
| | | | - Radek Bukowski
- Department of Obstetrics and Gynecology, University of Texas Medical Branch, Galveston, TX
| | - Heping Zhang
- Collaborative Center for Statistics in Science, Yale University School of Public Health, New Haven, CT
| | - Michael Varner
- Department of Obstetrics and Gynecology, University of Utah, Salt Lake City, UT
| | - William W Andrews
- Department of Obstetrics and Gynecology, University of Alabama at Birmingham, Birmingham, AL
| | - George R Saade
- Department of Obstetrics and Gynecology, University of Texas Medical Branch, Galveston, TX
| | - John Ilekis
- Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD
| | - Uma M Reddy
- Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD
| | - Hao Huang
- Collaborative Center for Statistics in Science, Yale University School of Public Health, New Haven, CT
| | - Yoel Sadovsky
- Magee Women's Research Institute, University of Pittsburgh, Pittsburgh, PA
| | - Ian A Blair
- Department of Pharmacology, University of Pennsylvania School of Medicine, Philadelphia, PA
| | - Joseph Biggio
- Department of Obstetrics and Gynecology, University of Alabama at Birmingham, Birmingham, AL
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Zhang S, Raedschelders K, Venkatraman V, Huang L, Holewinski R, Fu Q, Van Eyk JE. A Dual Workflow to Improve the Proteomic Coverage in Plasma Using Data-Independent Acquisition-MS. J Proteome Res 2020; 19:2828-2837. [PMID: 32176508 PMCID: PMC10360210 DOI: 10.1021/acs.jproteome.9b00607] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Plasma is one of the most important and common matrices for clinical chemistry and proteomic analyses. Data-independent acquisition (DIA) mass spectrometry has enabled the simultaneous quantitative analysis of hundreds of proteins in plasma samples in support population and disease studies. Depletion of the highest abundant proteins is a common tool to increase plasma proteome coverage, but this strategy can result in the nonspecific depletion of protein subsets with which proteins targeted for depletion interact, adversely affecting their analysis. Our work using an antibody-based depletion column revealed significant complementarity not only in the identification of the proteins derived from depleted and undepleted plasma, but importantly also in the extent to which different proteins can be reproducibly quantified in each fraction. We systematically defined four major quantitative parameters of increasing stringency in both the depleted plasma fraction and in undepleted plasma for 757 observed plasma proteins: Linearity cutoff r2 > 0.8; lower limit of quantification (LLOQ); measurement range; limit of detection (LOD). We applied the results of our study to build a web-based tool, PlasmaPilot, that can serve as a protocol decision tree to determine whether the analysis of a specific protein warrants IgY14 mediated depletion.
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Affiliation(s)
- Shenyan Zhang
- Advanced Clinical Biosystems Research Institute, Barbra Streisand Women’s Heart Center at the Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California 90048, United States
- BGI Genomics, Shenzhen 518083, China
| | - Koen Raedschelders
- Advanced Clinical Biosystems Research Institute, Barbra Streisand Women’s Heart Center at the Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California 90048, United States
| | - Vidya Venkatraman
- Advanced Clinical Biosystems Research Institute, Barbra Streisand Women’s Heart Center at the Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California 90048, United States
| | - Lilith Huang
- Advanced Clinical Biosystems Research Institute, Barbra Streisand Women’s Heart Center at the Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California 90048, United States
| | - Ronald Holewinski
- Advanced Clinical Biosystems Research Institute, Barbra Streisand Women’s Heart Center at the Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California 90048, United States
| | - Qin Fu
- Advanced Clinical Biosystems Research Institute, Barbra Streisand Women’s Heart Center at the Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California 90048, United States
| | - Jennifer E. Van Eyk
- Advanced Clinical Biosystems Research Institute, Barbra Streisand Women’s Heart Center at the Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California 90048, United States
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Eshghi A, Pistawka AJ, Liu J, Chen M, Sinclair NJT, Hardie DB, Elliott M, Chen L, Newman R, Mohammed Y, Borchers CH. Concentration Determination of >200 Proteins in Dried Blood Spots for Biomarker Discovery and Validation. Mol Cell Proteomics 2020; 19:540-553. [PMID: 31896676 PMCID: PMC7050112 DOI: 10.1074/mcp.tir119.001820] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2019] [Revised: 12/06/2019] [Indexed: 12/26/2022] Open
Abstract
The use of protein biomarkers as surrogates for clinical endpoints requires extensive multilevel validation including development of robust and sensitive assays for precise measurement of protein concentration. Multiple reaction monitoring (MRM) is a well-established mass-spectrometric method that can be used for reproducible protein-concentration measurements in biological specimens collected via microsampling. The dried blood spot (DBS) microsampling technique can be performed non-invasively without the expertise of a phlebotomist, and can enhance analyte stability which facilitate the application of this technique in retrospective studies while providing lower storage and shipping costs, because cold-chain logistics can be eliminated. Thus, precise, sensitive, and multiplexed methods for measuring protein concentrations in DBSs can be used for de novo biomarker discovery and for biomarker quantification or verification experiments. To achieve this goal, MRM assays were developed for multiplexed concentration measurement of proteins in DBSs.The lower limit of quantification (LLOQ) was found to have a median total coefficient of variation (CV) of 18% for 245 proteins, whereas the median LLOQ was 5 fmol of peptide injected on column, and the median inter-day CV over 4 days for measuring endogenous protein concentration was 8%. The majority (88%) of the assays displayed parallelism, whereas the peptide standards remained stable throughout the assay workflow and after exposure to multiple freeze-thaw cycles. For 190 proteins, the measured protein concentrations remained stable in DBS stored at ambient laboratory temperature for up to 2 months. Finally, the developed assays were used to measure the concentration ranges for 200 proteins in twenty same sex, same race and age matched individuals.
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Affiliation(s)
- Azad Eshghi
- University of Victoria - Genome BC Proteomics Centre, University of Victoria, Victoria, British Columbia V8Z 7X8, Canada.
| | - Adam J Pistawka
- University of Victoria - Genome BC Proteomics Centre, University of Victoria, Victoria, British Columbia V8Z 7X8, Canada
| | - Jun Liu
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, British Columbia V6T 2B5, Canada
| | - Michael Chen
- Island Medical Program, Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, British Columbia V6T 2B5, Canada
| | - Nicholas J T Sinclair
- University of Victoria - Genome BC Proteomics Centre, University of Victoria, Victoria, British Columbia V8Z 7X8, Canada
| | - Darryl B Hardie
- University of Victoria - Genome BC Proteomics Centre, University of Victoria, Victoria, British Columbia V8Z 7X8, Canada
| | - Monica Elliott
- University of Victoria - Genome BC Proteomics Centre, University of Victoria, Victoria, British Columbia V8Z 7X8, Canada
| | - Lei Chen
- University of Victoria - Genome BC Proteomics Centre, University of Victoria, Victoria, British Columbia V8Z 7X8, Canada
| | - Rachael Newman
- University of Victoria - Genome BC Proteomics Centre, University of Victoria, Victoria, British Columbia V8Z 7X8, Canada
| | - Yassene Mohammed
- University of Victoria - Genome BC Proteomics Centre, University of Victoria, Victoria, British Columbia V8Z 7X8, Canada; Center for Proteomics and Metabolomics, Leiden University Medical Center, Albinusdreef 2, 2333 ZA Leiden, The Netherlands
| | - Christoph H Borchers
- University of Victoria - Genome BC Proteomics Centre, University of Victoria, Victoria, British Columbia V8Z 7X8, Canada; Department of Biochemistry and Microbiology, University of Victoria, Victoria, British Columbia V8P 5C2, Canada; Segal Cancer Proteomics Centre, Lady Davis Institute, Jewish General Hospital, McGill University, Montreal, Quebec H3T 1E2, Canada; Gerald Bronfman Department of Oncology, Jewish General Hospital, McGill University, Montreal, Quebec H3T 1E2, Canada; Department of Data Intensive Science and Engineering, Skolkovo Institute of Science and Technology, Skolkovo Innovation Center, Nobel St., Moscow143026, Russia.
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Neubert H, Shuford CM, Olah TV, Garofolo F, Schultz GA, Jones BR, Amaravadi L, Laterza OF, Xu K, Ackermann BL. Protein Biomarker Quantification by Immunoaffinity Liquid Chromatography–Tandem Mass Spectrometry: Current State and Future Vision. Clin Chem 2020; 66:282-301. [DOI: 10.1093/clinchem/hvz022] [Citation(s) in RCA: 42] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2019] [Accepted: 11/12/2019] [Indexed: 12/19/2022]
Abstract
Abstract
Immunoaffinity–mass spectrometry (IA-MS) is an emerging analytical genre with several advantages for profiling and determination of protein biomarkers. Because IA-MS combines affinity capture, analogous to ligand binding assays (LBAs), with mass spectrometry (MS) detection, this platform is often described using the term hybrid methods. The purpose of this report is to provide an overview of the principles of IA-MS and to demonstrate, through application, the unique power and potential of this technology. By combining target immunoaffinity enrichment with the use of stable isotope-labeled internal standards and MS detection, IA-MS achieves high sensitivity while providing unparalleled specificity for the quantification of protein biomarkers in fluids and tissues. In recent years, significant uptake of IA-MS has occurred in the pharmaceutical industry, particularly in the early stages of clinical development, enabling biomarker measurement previously considered unattainable. By comparison, IA-MS adoption by CLIA laboratories has occurred more slowly. Current barriers to IA-MS use and opportunities for expanded adoption are discussed. The path forward involves identifying applications for which IA-MS is the best option compared with LBA or MS technologies alone. IA-MS will continue to benefit from advances in reagent generation, more sensitive and higher throughput MS technologies, and continued growth in use by the broader analytical community. Collectively, the pursuit of these opportunities will secure expanded long-term use of IA-MS for clinical applications.
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Minikel EV, Kuhn E, Cocco AR, Vallabh SM, Hartigan CR, Reidenbach AG, Safar JG, Raymond GJ, McCarthy MD, O'Keefe R, Llorens F, Zerr I, Capellari S, Parchi P, Schreiber SL, Carr SA. Domain-specific Quantification of Prion Protein in Cerebrospinal Fluid by Targeted Mass Spectrometry. Mol Cell Proteomics 2019; 18:2388-2400. [PMID: 31558565 PMCID: PMC6885701 DOI: 10.1074/mcp.ra119.001702] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2019] [Revised: 09/16/2019] [Indexed: 01/11/2023] Open
Abstract
Therapies currently in preclinical development for prion disease seek to lower prion protein (PrP) expression in the brain. Trials of such therapies are likely to rely on quantification of PrP in cerebrospinal fluid (CSF) as a pharmacodynamic biomarker and possibly as a trial endpoint. Studies using PrP ELISA kits have shown that CSF PrP is lowered in the symptomatic phase of disease, a potential confounder for reading out the effect of PrP-lowering drugs in symptomatic patients. Because misfolding or proteolytic cleavage could potentially render PrP invisible to ELISA even if its concentration were constant or increasing in disease, we sought to establish an orthogonal method for CSF PrP quantification. We developed a multi-species targeted mass spectrometry method based on multiple reaction monitoring (MRM) of nine PrP tryptic peptides quantified relative to an isotopically labeled recombinant protein standard for human samples, or isotopically labeled synthetic peptides for nonhuman species. Analytical validation experiments showed process replicate coefficients of variation below 15%, good dilution linearity and recovery, and suitable performance for both CSF and brain homogenate and across humans as well as preclinical species of interest. In n = 55 CSF samples from individuals referred to prion surveillance centers with rapidly progressive dementia, all six human PrP peptides, spanning the N- and C-terminal domains of PrP, were uniformly reduced in prion disease cases compared with individuals with nonprion diagnoses. Thus, lowered CSF PrP concentration in prion disease is a genuine result of the disease process and not an artifact of ELISA-based measurement. As a result, dose-finding studies for PrP lowering drugs may need to be conducted in presymptomatic at-risk individuals rather than in symptomatic patients. We provide a targeted mass spectrometry-based method suitable for preclinical quantification of CSF PrP as a tool for drug development.
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Affiliation(s)
- Eric Vallabh Minikel
- Chemical Biology and Therapeutics Science Program, Broad Institute of MIT and Harvard, Cambridge, MA 02142; Program in Biological and Biomedical Sciences, Harvard Medical School, Boston, MA 02115; Prion Alliance, Cambridge, MA 02139; Proteomics Platform, Broad Institute of MIT and Harvard, Cambridge, MA 02142.
| | - Eric Kuhn
- Proteomics Platform, Broad Institute of MIT and Harvard, Cambridge, MA 02142; Program in Biological and Biomedical Sciences, Harvard Medical School, Boston, MA 02115
| | - Alexandra R Cocco
- Proteomics Platform, Broad Institute of MIT and Harvard, Cambridge, MA 02142
| | - Sonia M Vallabh
- Chemical Biology and Therapeutics Science Program, Broad Institute of MIT and Harvard, Cambridge, MA 02142; Program in Biological and Biomedical Sciences, Harvard Medical School, Boston, MA 02115; Prion Alliance, Cambridge, MA 02139
| | | | - Andrew G Reidenbach
- Chemical Biology and Therapeutics Science Program, Broad Institute of MIT and Harvard, Cambridge, MA 02142
| | - Jiri G Safar
- Departments of Pathology and Neurology Case Western Reserve University, Cleveland, OH 44106
| | - Gregory J Raymond
- Laboratory of Persistent Viral Diseases, NIAID Rocky Mountain Labs, Hamilton, MT 59840
| | - Michael D McCarthy
- Environmental Health and Safety, Broad Institute of MIT and Harvard, Cambridge, MA 02142
| | - Rhonda O'Keefe
- Environmental Health and Safety, Broad Institute of MIT and Harvard, Cambridge, MA 02142
| | - Franc Llorens
- National Reference Center for TSE, Georg-August University, Göttingen, 37073, Germany; Biomedical Research Networking Center on Neurodegenerative Diseases (CIBERNED), L'Hospitalet de Llobregat, 08908, Barcelona, Spain
| | - Inga Zerr
- National Reference Center for TSE, Georg-August University, Göttingen, 37073, Germany
| | - Sabina Capellari
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, 40139, Italy; Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, 40123, Italy
| | - Piero Parchi
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, 40139, Italy; Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, Bologna, 40138, Italy
| | - Stuart L Schreiber
- Chemical Biology and Therapeutics Science Program, Broad Institute of MIT and Harvard, Cambridge, MA 02142; Department of Chemistry & Chemical Biology, Harvard University, Cambridge, MA 02138
| | - Steven A Carr
- Proteomics Platform, Broad Institute of MIT and Harvard, Cambridge, MA 02142.
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40
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Wiley CD, Liu S, Limbad C, Zawadzka AM, Beck J, Demaria M, Artwood R, Alimirah F, Lopez-Dominguez JA, Kuehnemann C, Danielson SR, Basisty N, Kasler HG, Oron TR, Desprez PY, Mooney SD, Gibson BW, Schilling B, Campisi J, Kapahi P. SILAC Analysis Reveals Increased Secretion of Hemostasis-Related Factors by Senescent Cells. Cell Rep 2019; 28:3329-3337.e5. [PMID: 31553904 PMCID: PMC6907691 DOI: 10.1016/j.celrep.2019.08.049] [Citation(s) in RCA: 86] [Impact Index Per Article: 17.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2017] [Revised: 06/26/2019] [Accepted: 08/14/2019] [Indexed: 01/07/2023] Open
Abstract
Cellular senescence irreversibly arrests cell proliferation, accompanied by a multi-component senescence-associated secretory phenotype (SASP) that participates in several age-related diseases. Using stable isotope labeling with amino acids (SILACs) and cultured cells, we identify 343 SASP proteins that senescent human fibroblasts secrete at 2-fold or higher levels compared with quiescent cell counterparts. Bioinformatic analysis reveals that 44 of these proteins participate in hemostasis, a process not previously linked with cellular senescence. We validated the expression of some of these SASP factors in cultured cells and in vivo. Mice treated with the chemotherapeutic agent doxorubicin, which induces widespread cellular senescence in vivo, show increased blood clotting. Conversely, selective removal of senescent cells using transgenic p16-3MR mice showed that clearing senescent cells attenuates the increased clotting caused by doxorubicin. Our study provides an in-depth, unbiased analysis of the SASP and unveils a function for cellular senescence in hemostasis.
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Affiliation(s)
| | - Su Liu
- Buck Institute for Research on Aging, Novato, CA 94945, USA
| | | | | | - Jennifer Beck
- Buck Institute for Research on Aging, Novato, CA 94945, USA
| | - Marco Demaria
- European Institute for the Biology of Aging, University of Groningen, Groningen, the Netherlands
| | - Robert Artwood
- Buck Institute for Research on Aging, Novato, CA 94945, USA
| | | | | | | | | | - Natan Basisty
- Buck Institute for Research on Aging, Novato, CA 94945, USA
| | | | | | - Pierre-Yves Desprez
- Buck Institute for Research on Aging, Novato, CA 94945, USA; California Pacific Medical Center, Research Institute, San Francisco, CA 94107, USA
| | - Sean D Mooney
- Department of Biomedical Informatics & Medical Education, University of Washington, Seattle, WA 98195, USA
| | - Bradford W Gibson
- Discovery Attribute Sciences, Amgen Inc., South San Francisco, CA 94080, USA
| | | | - Judith Campisi
- Buck Institute for Research on Aging, Novato, CA 94945, USA; Biosciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA.
| | - Pankaj Kapahi
- Buck Institute for Research on Aging, Novato, CA 94945, USA.
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Eldeeb MA, Siva-Piragasam R, Ragheb MA, Esmaili M, Salla M, Fahlman RP. A molecular toolbox for studying protein degradation in mammalian cells. J Neurochem 2019; 151:520-533. [PMID: 31357232 DOI: 10.1111/jnc.14838] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2019] [Revised: 07/03/2019] [Accepted: 07/24/2019] [Indexed: 12/14/2022]
Abstract
Protein degradation is a crucial regulatory process in maintaining cellular proteostasis. The selective degradation of intracellular proteins controls diverse cellular and biochemical processes in all kingdoms of life. Targeted protein degradation is implicated in controlling the levels of regulatory proteins as well as eliminating misfolded and any otherwise abnormal proteins. Deregulation of protein degradation is concomitant with the progression of various neurodegenerative disorders such as Parkinson's and Alzheimer's diseases. Thus, methods of measuring metabolic half-lives of proteins greatly influence our understanding of the diverse functions of proteins in mammalian cells including neuronal cells. Historically, protein degradation rates have been studied via exploiting methods that estimate overall protein degradation or focus on few individual proteins. Notably, with the recent technical advances and developments in proteomic and imaging techniques, it is now possible to measure degradation rates of a large repertoire of defined proteins and analyze the degradation profile in a detailed spatio-temporal manner, with the aim of determining proteome-wide protein stabilities upon different physiological conditions. Herein, we discuss some of the classical and novel methods for determining protein degradation rates highlighting the crucial role of some state of art approaches in deciphering the global impact of dynamic nature of targeted degradation of cellular proteins. This article is part of the Special Issue "Proteomics".
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Affiliation(s)
- Mohamed A Eldeeb
- Department of Chemistry (Biochemistry Division), Faculty of Science, Cairo University, Giza, Egypt.,Department of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada
| | | | - Mohamed A Ragheb
- Department of Chemistry (Biochemistry Division), Faculty of Science, Cairo University, Giza, Egypt
| | - Mansoore Esmaili
- Department of Biochemistry, University of Alberta, Edmonton, Alberta, Canada
| | - Mohamed Salla
- Department of Biological Sciences, Lebanese International University, Bekaa, Lebanon
| | - Richard P Fahlman
- Department of Biochemistry, University of Alberta, Edmonton, Alberta, Canada
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42
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Liu W, Li J, Zhang P, Hou Q, Feng S, Liu L, Cui D, Shi H, Fu Y, Luo Y. A novel pan-cancer biomarker plasma heat shock protein 90alpha and its diagnosis determinants in clinic. Cancer Sci 2019; 110:2941-2959. [PMID: 31343810 PMCID: PMC6726694 DOI: 10.1111/cas.14143] [Citation(s) in RCA: 45] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2019] [Revised: 06/28/2019] [Accepted: 07/18/2019] [Indexed: 02/05/2023] Open
Abstract
A sensitive and specific diagnosis biomarker, in principle scalable to most cancer types, is needed to reduce the prevalent cancer mortality. Meanwhile, the investigation of diagnosis determinants of a biomarker will facilitate the interpretation of its screening results in clinic. Here we design a large-scale (1558 enrollments), multicenter (multiple hospitals), and cross-validation (two datasets) clinic study to validate plasma Hsp90α quantified by ELISA as a pan-cancer biomarker. ROC curve shows the optimum diagnostic cutoff is 69.19 ng/mL in discriminating various cancer patients from all controls (AUC 0.895, sensitivity 81.33% and specificity 81.65% in test cohort; AUC 0.893, sensitivity 81.72% and specificity 81.03% in validation cohort). Similar results are noted in detecting early-stage cancer patients. Plasma Hsp90α maintains also broad-spectrum for cancer subtypes, especially with 91.78% sensitivity and 91.96% specificity in patients with AFP-limited liver cancer. In addition, we demonstrate levels of plasma Hsp90α are determined by ADAM10 expression, which will affect Hsp90α content in exosomes. Furthermore, Western blotting and PRM-based quantitative proteomics identify that partial false ELISA-negative patients secret high levels of plasma Hsp90α. Mechanism analysis reveal that TGFβ-PKCγ gene signature defines a distinct pool of hyperphosphorylated Hsp90α at Theronine residue. In clinic, a mechanistically relevant population of false ELISA-negative patients express also higher levels of PKCγ. In sum, plasma Hsp90α is a novel pan-cancer diagnosis biomarker, and cancer diagnosis with plasma Hsp90α is particularly effective in those patients with high expression of ADAM10, but may be insufficient to detect the patients with low ADAM10 and those with hyperphosphorylated Hsp90α.
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Affiliation(s)
- Wei Liu
- The National Engineering Laboratory for Anti-Tumor Protein Therapeutics, Tsinghua University, Beijing, China.,Beijing Key Laboratory for Protein Therapeutics, Tsinghua University, Beijing, China.,Cancer Biology Laboratory, School of Life Sciences, Tsinghua University, Beijing, China
| | - Jie Li
- Beijing Chest Hospital, Capital Medical University, Beijing, China
| | - Ping Zhang
- The National Engineering Laboratory for Anti-Tumor Protein Therapeutics, Tsinghua University, Beijing, China
| | - Qiaoyun Hou
- The National Engineering Laboratory for Anti-Tumor Protein Therapeutics, Tsinghua University, Beijing, China.,Beijing Key Laboratory for Protein Therapeutics, Tsinghua University, Beijing, China.,Cancer Biology Laboratory, School of Life Sciences, Tsinghua University, Beijing, China
| | - Shi Feng
- The National Engineering Laboratory for Anti-Tumor Protein Therapeutics, Tsinghua University, Beijing, China.,Beijing Key Laboratory for Protein Therapeutics, Tsinghua University, Beijing, China.,Cancer Biology Laboratory, School of Life Sciences, Tsinghua University, Beijing, China
| | - Lisheng Liu
- Clinical Laboratory, Shandong Cancer Hospital, Jinan, China
| | - Dawei Cui
- The National Engineering Laboratory for Anti-Tumor Protein Therapeutics, Tsinghua University, Beijing, China
| | - Hubing Shi
- Laboratory of Tumor Targeted and Immune Therapy, Clinical Research Center for Breast, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University and Collaborative Innovation Center, Chengdu, China
| | - Yan Fu
- The National Engineering Laboratory for Anti-Tumor Protein Therapeutics, Tsinghua University, Beijing, China.,Beijing Key Laboratory for Protein Therapeutics, Tsinghua University, Beijing, China.,Cancer Biology Laboratory, School of Life Sciences, Tsinghua University, Beijing, China
| | - Yongzhang Luo
- The National Engineering Laboratory for Anti-Tumor Protein Therapeutics, Tsinghua University, Beijing, China.,Beijing Key Laboratory for Protein Therapeutics, Tsinghua University, Beijing, China.,Cancer Biology Laboratory, School of Life Sciences, Tsinghua University, Beijing, China
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43
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Identification of recombinant human insulin and biosynthetic insulin analogues by multiplexed targeted unlabeled mass spectrometry of proteotypic tryptic peptides. J Pharm Biomed Anal 2019; 172:357-363. [PMID: 31096094 DOI: 10.1016/j.jpba.2019.04.052] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2019] [Revised: 03/28/2019] [Accepted: 04/30/2019] [Indexed: 11/21/2022]
Abstract
Direct qualitative methods that allow the rapid screening and identification of insulin products during early stages of the drug development process and those already in the market can be of great utility for manufacturers and regulatory agencies and the recent scientific literature describes several methods. Herein, a qualitative proteomic method is presented for the identification of recombinant human insulin and all marketed biosynthetic analogues -insulin lispro, aspart, glulisine, glargine, detemir and degludec- via tryptic digestion and identification of proteotypic peptides for each insulin. Individual insulins were first denatured under reducing conditions and the cysteine residues blocked by iodoacetamide. The proteins were then digested with trypsin and the peptide products separated by reversed phase liquid chromatography on an Ascentis® Express ES-C18 column and detected by positive polarity ESI-MS/MS. The digestion peptides were characterized using a multiplexed MRM approach that monitors the fragmentation of the doubly charged unlabeled precursor ion of each peptide into a collection of signature y and b ions. The MRM transitions for the individual peptides were optimized to allow maximal ionization on a standard triple quadrupole mass spectrometer. All products of the digestion procedure for all insulins were detected with adequate signal intensity except for the C-terminal B30Thr whenever it was present and cleaved and the tryptic B1-3 tripeptide of insulin glulisine. The unique proteotypic peptides identified for each of the insulin analogues coupled with their signature y and b ions permitted the unambiguous verification of all sequence variations and chemical modifications. The elution of the A polypeptide chain for all insulins and the tryptic peptides of the B chain, with the exception of a very few, occurred around the same time point. This underscores the close similarity in the physicochemical properties between the digestion peptides and is consistent with the subtle variations in amino acid sequence among the various insulins. Therefore, the identification and distinction of the different types of insulin based solely on the chromatographic retention time of their respective proteolytic products can be deceptive without proper mass spectrometric analysis and may result in false positives.
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44
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Microflow UPLC and high-resolution MS as a sensitive and robust platform for quantitation of intact peptide hormones. Bioanalysis 2019; 11:1275-1289. [DOI: 10.4155/bio-2019-0081] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022] Open
Abstract
Aim: Recent advances in microflow ultra performance liquid chromatography (UPLC) systems offer higher sensitivity with robustness to meet the routine bioanalytical demands. Modern high-resolution mass spectrometers (HRMS) enable the development of highly selective methods with broad dynamic range. Results: The quantitative performances of tandem quadrupole MS and HRMS were comprehensively compared using seven intact peptide hormones up to 9.4 kDa. Results show comparable performance between two platforms in sensitivity, accuracy and linearity. For some peptides, HRMS provided lower background interference. The benefit of increased sensitivity using microflow UPLC was also demonstrated. Conclusion: HRMS is a versatile platform capable of both basic characterization and reliable quantitation in complex matrices. Microflow UPLC provides lower LLOQs than conventional flow systems, even with less sample volume injected.
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45
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Kim KH, Kim JY, Yoo JS. Mass spectrometry analysis of glycoprotein biomarkers in human blood of hepatocellular carcinoma. Expert Rev Proteomics 2019; 16:553-568. [DOI: 10.1080/14789450.2019.1626235] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Affiliation(s)
- Kwang Hoe Kim
- Biomedical Omics Group, Korea Basic Science Institute, Cheongju, Republic of Korea
| | - Jin Young Kim
- Biomedical Omics Group, Korea Basic Science Institute, Cheongju, Republic of Korea
| | - Jong Shin Yoo
- Biomedical Omics Group, Korea Basic Science Institute, Cheongju, Republic of Korea
- Graduate School of Analytical Science and Technology, Chungnam National University, Daejeon, Republic of Korea
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46
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Lee J, Kim H, Sohn A, Yeo I, Kim Y. Cost-Effective Automated Preparation of Serum Samples for Reproducible Quantitative Clinical Proteomics. J Proteome Res 2019; 18:2337-2345. [PMID: 30985128 DOI: 10.1021/acs.jproteome.9b00023] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
Reproducible sample preparation remains a significant challenge in large-scale clinical research using selected reaction monitoring-mass spectrometry (SRM-MS), which enables a highly sensitive multiplexed assay. Although automated liquid-handling platforms have tremendous potential for addressing this issue, the high cost of their consumables is a drawback that renders routine operation expensive. Here we evaluated the performance of a liquid-handling platform in preparing serum samples compared with a standard experiment while reducing the outlay for consumables, such as tips, wasted reagents, and reagent stock plates. A total of 26 multiplex assays were quantified by SRM-MS using four sets of 24 pooled human serum aliquots; the four sets used a fixed number (1, 4, 8, or 24) of tips to dispense digestion reagents. This study demonstrated that the use of 4 or 8 tips is comparable to 24 tips (standard experiment), as evidenced by their coefficients of variation: 13.5% (for 4 and 8 tips) versus 12.0% (24 tips). Thus we can save 37% of the total experimental cost compared with the standard experiment, maintaining nearly equivalent reproducibility. The routine operation of cost-effective liquid-handling platforms can enable researchers to process large-scale samples with high throughput, adding credibility to their findings by minimizing human error.
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Affiliation(s)
| | - Hyunsoo Kim
- Institute of Medical and Biological Engineering, MRC , Seoul National University , Seoul , Korea
| | | | - Injoon Yeo
- Interdisciplinary Program of Bioengineering , Seoul National University College of Engineering , Seoul , Korea
| | - Youngsoo Kim
- Institute of Medical and Biological Engineering, MRC , Seoul National University , Seoul , Korea.,Interdisciplinary Program of Bioengineering , Seoul National University College of Engineering , Seoul , Korea
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47
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Global Lysine Acetylation in Escherichia coli Results from Growth Conditions That Favor Acetate Fermentation. J Bacteriol 2019; 201:JB.00768-18. [PMID: 30782634 DOI: 10.1128/jb.00768-18] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2019] [Accepted: 02/11/2019] [Indexed: 01/17/2023] Open
Abstract
Lysine acetylation is thought to provide a mechanism for regulating metabolism in diverse bacteria. Indeed, many studies have shown that the majority of enzymes involved in central metabolism are acetylated and that acetylation can alter enzyme activity. However, the details regarding this regulatory mechanism are still unclear, specifically with regard to the signals that induce lysine acetylation. To better understand this global regulatory mechanism, we profiled changes in lysine acetylation during growth of Escherichia coli on the hexose glucose or the pentose xylose at both high and low sugar concentrations using label-free mass spectrometry. The goal was to see whether lysine acetylation differed during growth on these two different sugars. No significant differences, however, were observed. Rather, the initial sugar concentration was the principal factor governing changes in lysine acetylation, with higher sugar concentrations causing more acetylation. These results suggest that acetylation does not target specific metabolic pathways but rather simply targets accessible lysines, which may or may not alter enzyme activity. They further suggest that lysine acetylation principally results from conditions that favor accumulation of acetyl phosphate, the principal acetate donor in E. coli IMPORTANCE Bacteria alter their metabolism in response to nutrient availability, growth conditions, and environmental stresses using a number of different mechanisms. One is lysine acetylation, a posttranslational modification known to target many metabolic enzymes. However, little is known about this regulatory mode. We investigated the factors inducing changes in lysine acetylation by comparing growth on glucose and xylose. We found that the specific sugar used for growth did not alter the pattern of acetylation; rather, the amount of sugar did, with more sugar causing more acetylation. These results imply that lysine acetylation is a global regulatory mechanism that is responsive not to the specific carbon source per se but rather to the accumulation of downstream metabolites.
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48
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Pernemalm M, Sandberg A, Zhu Y, Boekel J, Tamburro D, Schwenk JM, Björk A, Wahren-Herlenius M, Åmark H, Östenson CG, Westgren M, Lehtiö J. In-depth human plasma proteome analysis captures tissue proteins and transfer of protein variants across the placenta. eLife 2019; 8:41608. [PMID: 30958262 PMCID: PMC6519984 DOI: 10.7554/elife.41608] [Citation(s) in RCA: 53] [Impact Index Per Article: 10.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2018] [Accepted: 04/04/2019] [Indexed: 01/03/2023] Open
Abstract
Here, we present a method for in-depth human plasma proteome analysis based on high-resolution isoelectric focusing HiRIEF LC-MS/MS, demonstrating high proteome coverage, reproducibility and the potential for liquid biopsy protein profiling. By integrating genomic sequence information to the MS-based plasma proteome analysis, we enable detection of single amino acid variants and for the first time demonstrate transfer of multiple protein variants between mother and fetus across the placenta. We further show that our method has the ability to detect both low abundance tissue-annotated proteins and phosphorylated proteins in plasma, as well as quantitate differences in plasma proteomes between the mother and the newborn as well as changes related to pregnancy. Blood cells travel through the blood vessels in a soupy mixture of proteins called plasma. Most of these proteins are plasma-specific, yet small amounts of proteins can leak into the plasma from other body parts and may provide hints about what is going on elsewhere in the body. This could allow doctors to use plasma samples to assess health or detect disease. But so far developing methods to detect these leaked proteins has proved difficult. Plasma passing through the placenta can transfer proteins between a pregnant woman and her baby. Learning more about these protein exchanges may help scientists understand how the mother and baby adapt to each other and what triggers child birth. But, so far, they have been hard to study. Using DNA to help trace the origins of proteins found in mother or baby could make it easier. Now, Pernemalm et al. have used DNA sequencing in combination with protein analysis to identify proteins passed between two pregnant mothers and their babies. Comparing the genetic sequences of each mother and child made it possible to trace the origin of the proteins. For example, if a mother had a version of the protein that matched genes the child inherited from its father, they knew it passed from the baby to the mother. This approach found 24 proteins in plasma from two pregnant mothers that had likely passed through the placenta during pregnancy. Pernemalm et al. also analyzed the plasma of 30 healthy individuals and confirmed that it contained several proteins that had likely leaked from other organs, including the lungs and pancreas. Monitoring protein transfer between pregnant mother and baby may help scientists identify what triggers normal or premature deliveries. One advantage of the technique developed Pernemalm et al. is that it can analyze plasma proteins from large numbers of people, which could enable larger studies. More refinement of the technique may also allow scientists to identify leaked proteins in the plasma that provide an early warning of cancer or other diseases.
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Affiliation(s)
- Maria Pernemalm
- Karolinska Institute, Stockholm, Sweden.,Proteogenomics, Science for Life Laboratory, Sweden
| | | | - Yafeng Zhu
- Karolinska Institute, Stockholm, Sweden.,Proteogenomics, Science for Life Laboratory, Sweden
| | - Jorrit Boekel
- Karolinska Institute, Stockholm, Sweden.,Proteogenomics, Science for Life Laboratory, Sweden
| | | | | | | | | | | | | | | | - Janne Lehtiö
- Karolinska Institute, Stockholm, Sweden.,Proteogenomics, Science for Life Laboratory, Sweden
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49
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Macossay-Castillo M, Marvelli G, Guharoy M, Jain A, Kihara D, Tompa P, Wodak SJ. The Balancing Act of Intrinsically Disordered Proteins: Enabling Functional Diversity while Minimizing Promiscuity. J Mol Biol 2019; 431:1650-1670. [PMID: 30878482 DOI: 10.1016/j.jmb.2019.03.008] [Citation(s) in RCA: 33] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2018] [Revised: 02/25/2019] [Accepted: 03/03/2019] [Indexed: 10/27/2022]
Abstract
Intrinsically disordered proteins (IDPs) or regions (IDRs) perform diverse cellular functions, but are also prone to forming promiscuous and potentially deleterious interactions. We investigate the extent to which the properties of, and content in, IDRs have adapted to enable functional diversity while limiting interference from promiscuous interactions in the crowded cellular environment. Information on protein sequences, their predicted intrinsic disorder, and 3D structure contents is related to data on protein cellular concentrations, gene co-expression, and protein-protein interactions in the well-studied yeast Saccharomyces cerevisiae. Results reveal that both the protein IDR content and the frequency of "sticky" amino acids in IDRs (those more frequently involved in protein interfaces) decrease with increasing protein cellular concentration. This implies that the IDR content and the amino acid composition of IDRs experience negative selection as the protein concentration increases. In the S. cerevisiae protein-protein interaction network, the higher a protein's IDR content, the more frequently it interacts with IDR-containing partners, and the more functionally diverse the partners are. Employing a clustering analysis of Gene Ontology terms, we newly identify ~600 putative multifunctional proteins in S. cerevisiae. Strikingly, these proteins are enriched in IDRs and contribute significantly to all the observed trends. In particular, IDRs of multi-functional proteins feature more sticky amino acids than IDRs of their non-multifunctional counterparts, or the surfaces of structured yeast proteins. This property likely affords sufficient binding affinity for the functional interactions, commonly mediated by short IDR segments, thereby counterbalancing the loss in overall IDR conformational entropy upon binding.
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Affiliation(s)
- Mauricio Macossay-Castillo
- VIB-VUB Center for Structural Biology, Vlaams Instituut voor Biotechnologie, Pleinlaan 2, 1050 Brussels, Belgium; Structural Biology Brussels, Department of Bioengineering Sciences, Vrije Universiteit Brussel, Pleinlaan 2, 1050 Brussels, Belgium
| | - Giulio Marvelli
- VIB-VUB Center for Structural Biology, Vlaams Instituut voor Biotechnologie, Pleinlaan 2, 1050 Brussels, Belgium; Structural Biology Brussels, Department of Bioengineering Sciences, Vrije Universiteit Brussel, Pleinlaan 2, 1050 Brussels, Belgium
| | - Mainak Guharoy
- VIB-VUB Center for Structural Biology, Vlaams Instituut voor Biotechnologie, Pleinlaan 2, 1050 Brussels, Belgium; Structural Biology Brussels, Department of Bioengineering Sciences, Vrije Universiteit Brussel, Pleinlaan 2, 1050 Brussels, Belgium
| | - Aashish Jain
- Department of Computer Science, Purdue University, West Lafayette, IN 47907, USA
| | - Daisuke Kihara
- Department of Computer Science, Purdue University, West Lafayette, IN 47907, USA; Department of Biological Sciences, Purdue University, Hockmeyer Structural Biology Building, 249 S. Martin Jischke Dr West Lafayette, IN 47907, USA
| | - Peter Tompa
- VIB-VUB Center for Structural Biology, Vlaams Instituut voor Biotechnologie, Pleinlaan 2, 1050 Brussels, Belgium; Structural Biology Brussels, Department of Bioengineering Sciences, Vrije Universiteit Brussel, Pleinlaan 2, 1050 Brussels, Belgium; Institute of Enzymology, Research Centre for Natural Sciences, Hungarian Academy of Sciences, Magyar tudosok korutja 2, 1117 Budapest, Hungary
| | - Shoshana J Wodak
- VIB-VUB Center for Structural Biology, Vlaams Instituut voor Biotechnologie, Pleinlaan 2, 1050 Brussels, Belgium.
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50
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Zhong X, Yu Q, Ma F, Frost DC, Lu L, Chen Z, Zetterberg H, Carlsson C, Okonkwo O, Li L. HOTMAQ: A Multiplexed Absolute Quantification Method for Targeted Proteomics. Anal Chem 2019; 91:2112-2119. [PMID: 30608134 PMCID: PMC6379083 DOI: 10.1021/acs.analchem.8b04580] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
Absolute quantification in targeted proteomics is challenging due to a variety of factors, including low specificity in complex backgrounds, limited analytical throughput, and wide dynamic range. To address these problems, we developed a hybrid offset-triggered multiplex absolute quantification (HOTMAQ) strategy that combines cost-effective mass difference and isobaric tags to enable simultaneous construction of an internal standard curve in the MS1 precursor scan, real-time identification of peptides at the MS2 level, and mass offset-triggered accurate quantification of target proteins in synchronous precursor selection (SPS)-MS3 spectra. This approach increases the analytical throughput of targeted quantitative proteomics by up to 12-fold. The HOTMAQ strategy was employed to verify candidate protein biomarkers in preclinical Alzheimer's disease with high accuracy. The greatly enhanced throughput and quantitative performance, paired with sample flexibility, makes HOTMAQ broadly applicable to targeted peptidomics, proteomics, and phosphoproteomics.
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Affiliation(s)
- Xiaofang Zhong
- School of Pharmacy , University of Wisconsin-Madison , Madison , Wisconsin 53705 , United States
| | - Qinying Yu
- School of Pharmacy , University of Wisconsin-Madison , Madison , Wisconsin 53705 , United States
| | - Fengfei Ma
- School of Pharmacy , University of Wisconsin-Madison , Madison , Wisconsin 53705 , United States
| | - Dustin C Frost
- School of Pharmacy , University of Wisconsin-Madison , Madison , Wisconsin 53705 , United States
| | - Lei Lu
- School of Pharmacy , University of Wisconsin-Madison , Madison , Wisconsin 53705 , United States
| | - Zhengwei Chen
- Department of Chemistry , University of Wisconsin-Madison , Madison , Wisconsin 53706 , United States
| | - Henrik Zetterberg
- Institute of Neuroscience and Physiology, Sahlgrenska Academy , University of Gothenburg , S-431 80 , Gothenburg , Sweden
- Clinical Neurochemistry Laboratory , Sahlgrenska University Hospital , S-431 80 , Mölndal , Sweden
- Department of Molecular Neuroscience , UCL Institute of Neurology , Queen Square, London , WC1N 3BG , U.K
- UK Dementia Research Institute at UCL , London , WC1N 3BG , U.K
| | - Cynthia Carlsson
- School of Medicine and Public Health , University of Wisconsin , Madison , Wisconsin 53705 , United States
| | - Ozioma Okonkwo
- School of Medicine and Public Health , University of Wisconsin , Madison , Wisconsin 53705 , United States
| | - Lingjun Li
- School of Pharmacy , University of Wisconsin-Madison , Madison , Wisconsin 53705 , United States
- Department of Chemistry , University of Wisconsin-Madison , Madison , Wisconsin 53706 , United States
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