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Chen ZZ, Dufresne J, Bowden P, Miao M, Marshall JG. Extraction of naturally occurring peptides versus the tryptic digestion of proteins from fetal versus adult bovine serum for LC-ESI-MS/MS. Anal Biochem 2024; 689:115497. [PMID: 38461948 DOI: 10.1016/j.ab.2024.115497] [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: 07/31/2023] [Revised: 02/23/2024] [Accepted: 02/25/2024] [Indexed: 03/12/2024]
Abstract
The naturally occurring peptides and digested proteins of fetal versus adult bovine serum were compared by LC-ESI-MS/MS after correction against noise from blank injections and random MS/MS spectra as statistical controls. Serum peptides were extracted by differential precipitation with mixtures of acetonitrile and water. Serum proteins were separated by partition chromatography over quaternary amine resin followed by tryptic digestion. The rigorous X!TANDEM goodness of fit algorithm that has a low error rate as demonstrated by low FDR q-values (q ≤ 0.01) showed qualitative and quantitative agreement with the SEQUEST cross correlation algorithm on 12,052 protein gene symbols. Tryptic digestion provided a quantitative identification of the serum proteins where observation frequency reflected known high abundance. In contrast, the naturally occurring peptides reflected the cleavage of common serum proteins such as C4A, C3, FGB, HPX, A2M but also proteins in lower concentration such as F13A1, IK, collagens and protocadherins. Proteins associated with cellular growth and development such as actins (ACT), ribosomal proteins like Ribosomal protein S6 (RPS6), synthetic enzymes and extracellular matrix factors were enriched in fetal calf serum. In contrast to the large literature from cord blood, IgG light chains were absent from fetal serum as observed by LC-ESI-MS/MS and confirmed by ELISA.
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Affiliation(s)
- Zhuo Zhen Chen
- Research Analytical Biochemistry Laboratory (RABL), Department of Chemistry and Biology, Toronto Metropolitan University, Canada.
| | - Jaimie Dufresne
- Research Analytical Biochemistry Laboratory (RABL), Department of Chemistry and Biology, Toronto Metropolitan University, Canada.
| | - Peter Bowden
- Research Analytical Biochemistry Laboratory (RABL), Department of Chemistry and Biology, Toronto Metropolitan University, Canada.
| | - Ming Miao
- Research Analytical Biochemistry Laboratory (RABL), Department of Chemistry and Biology, Toronto Metropolitan University, Canada.
| | - John G Marshall
- Research Analytical Biochemistry Laboratory (RABL), Department of Chemistry and Biology, Toronto Metropolitan University, Canada.
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2
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Cheng X, Li X, Liao B, Xu J, Hu L. Improved performance of proteomic characterization for Panax ginseng by strong cation exchange extraction and liquid chromatography-mass spectrometry analysis. J Chromatogr A 2023; 1688:463692. [PMID: 36549145 DOI: 10.1016/j.chroma.2022.463692] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Revised: 11/20/2022] [Accepted: 11/28/2022] [Indexed: 12/05/2022]
Abstract
Panax ginseng is a precious and ancient medicinal plant. The completion of its genome sequencing has laid the foundation for the study of proteome and peptidome. However, the high abundance of secondary metabolites in ginseng reduces the identification efficiency of proteins and peptides in mass spectrometry. In this report, strong cation exchange pretreatment was carried out to eliminate the interference of impurities. Based on the charge separation of proteolytic peptides and metabolites, the sensitivity of mass spectrometry detection was greatly improved. After pretreatment, 2322 and 2685 proteins were identified from the root and stem leaf extract. Further, the ginseng peptidome was analyzed based on this optimized strategy, where 970 and 653 endogenous peptides were identified from root and stem leaf extract, respectively. Functional analysis of proteins and endogenous peptides provided valuable information on the biological activities, metabolic processes, and ginsenoside biosynthesis pathways of ginseng.
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Affiliation(s)
- Xianhui Cheng
- Center for Supramolecular Chemical Biology, School of Life Sciences, Jilin University, Changchun, China
| | - Xiaoying Li
- Center for Supramolecular Chemical Biology, School of Life Sciences, Jilin University, Changchun, China
| | - Baosheng Liao
- Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, China
| | - Jiang Xu
- Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, China.
| | - Lianghai Hu
- Center for Supramolecular Chemical Biology, School of Life Sciences, Jilin University, Changchun, China.
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3
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He B, Huang Z, Huang C, Nice EC. Clinical applications of plasma proteomics and peptidomics: Towards precision medicine. Proteomics Clin Appl 2022; 16:e2100097. [PMID: 35490333 DOI: 10.1002/prca.202100097] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2022] [Revised: 04/16/2022] [Accepted: 04/28/2022] [Indexed: 02/05/2023]
Abstract
In the context of precision medicine, disease treatment requires individualized strategies based on the underlying molecular characteristics to overcome therapeutic challenges posed by heterogeneity. For this purpose, it is essential to develop new biomarkers to diagnose, stratify, or possibly prevent diseases. Plasma is an available source of biomarkers that greatly reflects the physiological and pathological conditions of the body. An increasing number of studies are focusing on proteins and peptides, including many involving the Human Proteome Project (HPP) of the Human Proteome Organization (HUPO), and proteomics and peptidomics techniques are emerging as critical tools for developing novel precision medicine preventative measures. Excitingly, the emerging plasma proteomics and peptidomics toolbox exhibits a huge potential for studying pathogenesis of diseases (e.g., COVID-19 and cancer), identifying valuable biomarkers and improving clinical management. However, the enormous complexity and wide dynamic range of plasma proteins makes plasma proteome profiling challenging. Herein, we summarize the recent advances in plasma proteomics and peptidomics with a focus on their emerging roles in COVID-19 and cancer research, aiming to emphasize the significance of plasma proteomics and peptidomics in clinical applications and precision medicine.
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Affiliation(s)
- Bo He
- State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, and West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University and Collaborative Innovation Center for Biotherapy, Chengdu, P. R. China
| | - Zhao Huang
- State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, and West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University and Collaborative Innovation Center for Biotherapy, Chengdu, P. R. China
| | - Canhua Huang
- State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, and West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University and Collaborative Innovation Center for Biotherapy, Chengdu, P. R. China.,Department of Pharmacology, and Provincial Key Laboratory of Pathophysiology in Ningbo University School of Medicine, Ningbo, Zhejiang, China
| | - Edouard C Nice
- Department of Biochemistry and Molecular Biology, Monash University, Clayton, Victoria, Australia
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Abstract
Peptides play a crucial role in many vitally important functions of living organisms. The goal of peptidomics is the identification of the "peptidome," the whole peptide content of a cell, organ, tissue, body fluid, or organism. In peptidomic or proteomic studies, capillary electrophoresis (CE) is an alternative technique for liquid chromatography. It is a highly efficient and fast separation method requiring extremely low amounts of sample. In peptidomic approaches, CE is commonly combined with mass spectrometric (MS) detection. Most often, CE is coupled with electrospray ionization MS and less frequently with matrix-assisted laser desorption/ionization MS. CE-MS has been employed in numerous studies dealing with determination of peptide biomarkers in different body fluids for various diseases, or in food peptidomic research for the analysis and identification of peptides with special biological activities. In addition to the above topics, sample preparation techniques commonly applied in peptidomics before CE separation and possibilities for peptide identification and quantification by CE-MS or CE-MS/MS methods are discussed in this chapter.
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Ling L, Yuan X, Liu X, Pei W, Li R. A novel peptide promotes human trophoblast proliferation and migration through PI3K/Akt/mTOR signaling pathway. ANNALS OF TRANSLATIONAL MEDICINE 2021; 9:981. [PMID: 34277781 PMCID: PMC8267276 DOI: 10.21037/atm-21-2574] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/08/2021] [Accepted: 06/16/2021] [Indexed: 12/20/2022]
Abstract
Background Preeclampsia (PE) is a complex pregnancy-related disease that endangers the safety of maternal and fetal. The purpose of this study is to reveal the pathogenesis of preeclampsia and discover new predictors from the perspective of peptidomics. The umbilical cord blood of PE and control group was analyzed by peptidomics. A peptide named Regulation of Proliferation Process in Preeclampsia (ROPPIP) was screened out to explore its role in the proliferation, migration and apoptosis of trophoblast cells in preeclampsia. Methods We compared and analyzed the umbilical cord blood of patients with PE and normal pregnant women using liquid chromatography-tandem mass spectrometry (LC-MS). hTR-8/Svneo cells cultured in vitro were divided into ROPPIP group and a disordered peptide group as control. Cell Counting Kit-8 (CCK-8) assay, flow cytometry, Transwell chamber assays and western blot analysis were performed to detect cell proliferation, invasion, migration and apoptosis, in addition to the expression of Matrix metalloproteinase-2 (MMP2), nuclear associated antigen Ki67, B-cell lymphoma-2 (Bcl2), Caspase 3, and β-actin protein. Results We identified 133 differential peptides. Of these, 51 were up-regulated while 82 were down-regulated. the polypeptide SFGVRMATASPTDGNV with low differential expression in the serum of PE patients was selected for the study, we named the polypeptide as Regulation of Proliferation Process in PE (ROPPIP). The experiment shows that ROPPIP can up-regulate the expression levels of MMP2, Ki67, and Bcl2 in HTR-8/Svneo cells, down-regulate the expression of caspase-3, promote the proliferation and migration of HTR-8/Svneo cells and inhibit the apoptosis induced by cisplatin, the activation of the phosphatidylinositol-3-kinase/protein kinase B/mammalian target of rapamycin (PI3K/Akt/mTOR) signaling pathway may be associated with the function of ROPPIP. Conclusions ROPPIP promotes HTR-8/Svneo cells migration and proliferation, and inhibits apoptosis, by regulating the activation of the PI3K/AKT/mTOR signaling pathway.
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Affiliation(s)
- Li Ling
- Department of Obstetrics and Gynecology, the First Affiliated Hospital of Wannan Medical College, Wuhu, China
| | - Xiao Yuan
- Department of Ultrasound, Wuwei People's Hospital, Wuhu, China
| | - Xia Liu
- Department of Obstetrics and Gynecology, the First Affiliated Hospital of Wannan Medical College, Wuhu, China
| | - Wenjun Pei
- Anhui Province Key Laboratory of Biological Macro-Molecules Research, Wannan Medical College, Wuhu, China
| | - Ranran Li
- Department of Obstetrics and Gynecology, the First Affiliated Hospital of Wannan Medical College, Wuhu, China
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Significance of the Differential Peptidome in Multidrug-Resistant Tuberculosis. BIOMED RESEARCH INTERNATIONAL 2019; 2019:5653424. [PMID: 30792993 PMCID: PMC6354167 DOI: 10.1155/2019/5653424] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/27/2018] [Revised: 12/21/2018] [Accepted: 01/03/2019] [Indexed: 12/23/2022]
Abstract
Most multidrug-resistant tuberculosis (MDR-TB) patients fail to receive a timely diagnosis and treatment. Therefore, we explored the differentially expressed peptides in MDR-TB compared with drug-susceptible tuberculosis (DS-TB) patients using LC-MS/MS and Ingenuity Pathway Analysis (IPA) to analyse the potential significance of these differentially expressed peptides. A total of 301 peptides were differentially expressed between MDR-TB and DS-TB groups. Of these, 24 and 16 peptides exhibited presented high (fold change ≥ 2.0, P < 0.05) and low (fold change ≤ −2.0, P < 0.05) levels in MDR-TB. Significant canonical pathways included the prothrombin activation system, coagulation system, and complement system. In the network of differentially expressed precursor proteins, lipopolysaccharide (LPS) regulates many precursor proteins, including four proteins correlated with organism survival. These four important differentially expressed proteins are prothrombin (F2), complement receptor type 2 (CR2), collagen alpha-2(V) chain (COL5A2), and inter-alpha-trypsin inhibitor heavy chain H4 (ITIH4). After addition of CR2 peptide, IL-6 mRNA expression in THP-1 cells decreased significantly in dose- and time-dependent manners. Cumulatively, our study proposes potential biomarkers for MDR-TB diagnosis and enables a better understanding of the pathogenesis of MDR-TB. The functions of differentially expressed peptides, especially CR2, in MDR-TB require further investigation.
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Dufresne J, Bowden P, Thavarajah T, Florentinus-Mefailoski A, Chen ZZ, Tucholska M, Norzin T, Ho MT, Phan M, Mohamed N, Ravandi A, Stanton E, Slutsky AS, Dos Santos CC, Romaschin A, Marshall JC, Addison C, Malone S, Heyland D, Scheltens P, Killestein J, Teunissen CE, Diamandis EP, Michael Siu KW, Marshall JG. The plasma peptides of ovarian cancer. Clin Proteomics 2018; 15:41. [PMID: 30598658 PMCID: PMC6302491 DOI: 10.1186/s12014-018-9215-z] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2018] [Accepted: 11/19/2018] [Indexed: 12/13/2022] Open
Abstract
Background It may be possible to discover new diagnostic or therapeutic peptides or proteins from blood plasma by using liquid chromatography and tandem mass spectrometry to identify, quantify and compare the peptides cleaved ex vivo from different clinical populations. The endogenous tryptic peptides of ovarian cancer plasma were compared to breast cancer and female cancer normal controls, other diseases with their matched or normal controls, plus ice cold plasma to control for pre-analytical variation. Methods The endogenous tryptic peptides or tryptic phospho peptides (i.e. without exogenous digestion) were analyzed from 200 μl of EDTA plasma. The plasma peptides were extracted by a step gradient of organic/water with differential centrifugation, dried, and collected over C18 for analytical HPLC nano electrospray ionization and tandem mass spectrometry (LC–ESI–MS/MS) with a linear quadrupole ion trap. The endogenous peptides of ovarian cancer were compared to multiple disease and normal samples from different institutions alongside ice cold controls. Peptides were randomly and independently sampled by LC–ESI–MS/MS. Precursor ions from peptides > E4 counts were identified by the SEQUEST and X!TANDEM algorithms, filtered in SQL Server, before testing of frequency counts by Chi Square (χ2), for analysis with the STRING algorithm, and comparison of precursor intensity by ANOVA in the R statistical system with the Tukey-Kramer Honestly Significant Difference (HSD) test. Results Peptides and/or phosphopeptides of common plasma proteins such as HPR, HP, HPX, and SERPINA1 showed increased observation frequency and/or precursor intensity in ovarian cancer. Many cellular proteins showed large changes in frequency by Chi Square (χ2 > 60, p < 0.0001) in the ovarian cancer samples such as ZNF91, ZNF254, F13A1, LOC102723511, ZNF253, QSER1, P4HA1, GPC6, LMNB2, PYGB, NBR1, CCNI2, LOC101930455, TRPM5, IGSF1, ITGB1, CHD6, SIRT1, NEFM, SKOR2, SUPT20HL1, PLCE1, CCDC148, CPSF3, MORN3, NMI, XTP11, LOC101927572, SMC5, SEMA6B, LOXL3, SEZ6L2, and DHCR24. The protein gene symbols with large Chi Square values were significantly enriched in proteins that showed a complex set of previously established functional and structural relationships by STRING analysis. Analysis of the frequently observed proteins by ANOVA confirmed increases in mean precursor intensity in ZFN91, TRPM5, SIRT1, CHD6, RIMS1, LOC101930455 (XP_005275896), CCDC37 and GIMAP4 between ovarian cancer versus normal female and other diseases or controls by the Tukey–Kramer HSD test. Conclusion Here we show that separation of endogenous peptides with a step gradient of organic/water and differential centrifugation followed by random and independent sampling by LC–ESI–MS/MS with analysis of peptide frequency and intensity by SQL Server and R revealed significant difference in the ex vivo cleavage of peptides between ovarian cancer and other clinical treatments. There was striking agreement between the proteins discovered from cancer plasma versus previous biomarkers discovered in tumors by genetic or biochemical methods. The results indicate that variation in plasma proteins from ovarian cancer may be directly discovered by LC–ESI–MS/MS that will be a powerful tool for clinical research. Electronic supplementary material The online version of this article (10.1186/s12014-018-9215-z) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Jaimie Dufresne
- 1Ryerson Analytical Biochemistry Laboratory (RABL), Department of Chemistry and Biology, Ryerson University, Toronto, Canada
| | - Pete Bowden
- 1Ryerson Analytical Biochemistry Laboratory (RABL), Department of Chemistry and Biology, Ryerson University, Toronto, Canada
| | - Thanusi Thavarajah
- 1Ryerson Analytical Biochemistry Laboratory (RABL), Department of Chemistry and Biology, Ryerson University, Toronto, Canada
| | | | - Zhuo Zhen Chen
- 1Ryerson Analytical Biochemistry Laboratory (RABL), Department of Chemistry and Biology, Ryerson University, Toronto, Canada
| | - Monika Tucholska
- 1Ryerson Analytical Biochemistry Laboratory (RABL), Department of Chemistry and Biology, Ryerson University, Toronto, Canada
| | - Tenzin Norzin
- 1Ryerson Analytical Biochemistry Laboratory (RABL), Department of Chemistry and Biology, Ryerson University, Toronto, Canada
| | - Margaret Truc Ho
- 1Ryerson Analytical Biochemistry Laboratory (RABL), Department of Chemistry and Biology, Ryerson University, Toronto, Canada
| | - Morla Phan
- 1Ryerson Analytical Biochemistry Laboratory (RABL), Department of Chemistry and Biology, Ryerson University, Toronto, Canada
| | - Nargiz Mohamed
- 1Ryerson Analytical Biochemistry Laboratory (RABL), Department of Chemistry and Biology, Ryerson University, Toronto, Canada
| | - Amir Ravandi
- 2Institute of Cardiovascular Sciences, St Boniface Hospital Research Center, University of Manitoba, Winnipeg, Canada
| | - Eric Stanton
- 3Division of Cardiology, Department of Medicine, McMaster University, Hamilton, Canada
| | - Arthur S Slutsky
- 4Keenan Chair in Medicine, St. Michael's Hospital, University of Toronto, Toronto, Canada
| | - Claudia C Dos Santos
- 5Keenan Research Centre for Biomedical Science, St. Michael's Hospital, Toronto, Canada
| | - Alexander Romaschin
- 5Keenan Research Centre for Biomedical Science, St. Michael's Hospital, Toronto, Canada
| | - John C Marshall
- 5Keenan Research Centre for Biomedical Science, St. Michael's Hospital, Toronto, Canada
| | - Christina Addison
- 6Program for Cancer Therapeutics, Ottawa Hospital Research Institute, Ottawa, Canada
| | - Shawn Malone
- 6Program for Cancer Therapeutics, Ottawa Hospital Research Institute, Ottawa, Canada
| | - Daren Heyland
- 7Clinical Evaluation Research Unit, Kingston General Hospital, Kingston, Canada
| | - Philip Scheltens
- 8Alzheimer Center, Department of Neurology, Amsterdam Neuroscience, Amsterdam University Medical Centers, Vrije Universiteit, Amsterdam, The Netherlands
| | - Joep Killestein
- 9MS Center, Department of Neurology, Amsterdam Neuroscience, Amsterdam University Medical Centers, Vrije Universiteit, Amsterdam, The Netherlands
| | - Charlotte E Teunissen
- 10Neurochemistry Lab and Biobank, Department of Clinical Chemistry, Amsterdam Neuroscience, Amsterdam University Medical Centers, Vrije Universiteit, Amsterdam, The Netherlands
| | | | | | - John G Marshall
- 1Ryerson Analytical Biochemistry Laboratory (RABL), Department of Chemistry and Biology, Ryerson University, Toronto, Canada.,13International Biobank of Luxembourg (IBBL), Luxembourg Institute of Health (formerly CRP Sante Luxembourg), Strassen, Luxembourg.,14Department of Chemistry and Biology, Faculty of Science, Ryerson University, 350 Victoria St., Toronto, ON Canada
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Dufresne J, Bowden P, Thavarajah T, Florentinus-Mefailoski A, Chen ZZ, Tucholska M, Norzin T, Ho MT, Phan M, Mohamed N, Ravandi A, Stanton E, Slutsky AS, Dos Santos CC, Romaschin A, Marshall JC, Addison C, Malone S, Heyland D, Scheltens P, Killestein J, Teunissen C, Diamandis EP, Siu KWM, Marshall JG. The plasma peptidome. Clin Proteomics 2018; 15:39. [PMID: 30519149 PMCID: PMC6271647 DOI: 10.1186/s12014-018-9211-3] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2018] [Accepted: 10/23/2018] [Indexed: 02/07/2023] Open
Abstract
Background It may be possible to discover new diagnostic or therapeutic peptides or proteins from blood plasma using LC–ESI–MS/MS to identify, with a linear quadrupole ion trap to identify, quantify and compare the statistical distributions of peptides cleaved ex vivo from plasma samples from different clinical populations. Methods A systematic method for the organic fractionation of plasma peptides was applied to identify and quantify the endogenous tryptic peptides from human plasma from multiple institutions by C18 HPLC followed nano electrospray ionization and tandem mass spectrometry (LC–ESI–MS/MS) with a linear quadrupole ion trap. The endogenous tryptic peptides, or tryptic phospho peptides (i.e. without exogenous digestion), were extracted in a mixture of organic solvent and water, dried and collected by preparative C18. The tryptic peptides from 6 institutions with 12 different disease and normal EDTA plasma populations, alongside ice cold controls for pre-analytical variation, were characterized by mass spectrometry. Each patient plasma was precipitated in 90% acetonitrile and the endogenous tryptic peptides extracted by a stepwise gradient of increasing water and then formic acid resulting in 10 sub-fractions. The fractionated peptides were manually collected over preparative C18 and injected for 1508 LC–ESI–MS/MS experiments analyzed in SQL Server R. Results Peptides that were cleaved in human plasma by a tryptic activity ex vivo provided convenient and sensitive access to most human proteins in plasma that show differences in the frequency or intensity of proteins observed across populations that may have clinical significance. Combination of step wise organic extraction of 200 μL of plasma with nano electrospray resulted in the confident identification and quantification ~ 14,000 gene symbols by X!TANDEM that is the largest number of blood proteins identified to date and shows that you can monitor the ex vivo proteolysis of most human proteins, including interleukins, from blood. A total of 15,968,550 MS/MS spectra ≥ E4 intensity counts were correlated by the SEQUEST and X!TANDEM algorithms to a federated library of 157,478 protein sequences that were filtered for best charge state (2+ or 3+) and peptide sequence in SQL Server resulting in 1,916,672 distinct best-fit peptide correlations for analysis with the R statistical system. SEQUEST identified some 140,054 protein accessions, or some ~ 26,000 gene symbols, proteins or loci, with at least 5 independent correlations. The X!TANDEM algorithm made at least 5 best fit correlations to more than 14,000 protein gene symbols with p-values and FDR corrected q-values of ~ 0.001 or less. Log10 peptide intensity values showed a Gaussian distribution from E8 to E4 arbitrary counts by quantile plot, and significant variation in average precursor intensity across the disease and controls treatments by ANOVA with means compared by the Tukey–Kramer test. STRING analysis of the top 2000 gene symbols showed a tight association of cellular proteins that were apparently present in the plasma as protein complexes with related cellular components, molecular functions and biological processes. Conclusions The random and independent sampling of pre-fractionated blood peptides by LC-ESI-MS/MS with SQL Server-R analysis revealed the largest plasma proteome to date and was a practical method to quantify and compare the frequency or log10 intensity of individual proteins cleaved ex vivo across populations of plasma samples from multiple clinical locations to discover treatment-specific variation using classical statistics suitable for clinical science. It was possible to identify and quantify nearly all human proteins from EDTA plasma and compare the results of thousands of LC–ESI–MS/MS experiments from multiple clinical populations using standard database methods in SQL Server and classical statistical strategies in the R data analysis system. Electronic supplementary material The online version of this article (10.1186/s12014-018-9211-3) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Jaimie Dufresne
- 1Ryerson Analytical Biochemistry Laboratory (RABL), Department of Chemistry and Biology, Faculty of Science, Ryerson University, 350 Victoria St, Toronto, ON Canada
| | - Pete Bowden
- 1Ryerson Analytical Biochemistry Laboratory (RABL), Department of Chemistry and Biology, Faculty of Science, Ryerson University, 350 Victoria St, Toronto, ON Canada
| | - Thanusi Thavarajah
- 1Ryerson Analytical Biochemistry Laboratory (RABL), Department of Chemistry and Biology, Faculty of Science, Ryerson University, 350 Victoria St, Toronto, ON Canada
| | - Angelique Florentinus-Mefailoski
- 1Ryerson Analytical Biochemistry Laboratory (RABL), Department of Chemistry and Biology, Faculty of Science, Ryerson University, 350 Victoria St, Toronto, ON Canada
| | - Zhuo Zhen Chen
- 1Ryerson Analytical Biochemistry Laboratory (RABL), Department of Chemistry and Biology, Faculty of Science, Ryerson University, 350 Victoria St, Toronto, ON Canada
| | - Monika Tucholska
- 1Ryerson Analytical Biochemistry Laboratory (RABL), Department of Chemistry and Biology, Faculty of Science, Ryerson University, 350 Victoria St, Toronto, ON Canada
| | - Tenzin Norzin
- 1Ryerson Analytical Biochemistry Laboratory (RABL), Department of Chemistry and Biology, Faculty of Science, Ryerson University, 350 Victoria St, Toronto, ON Canada
| | - Margaret Truc Ho
- 1Ryerson Analytical Biochemistry Laboratory (RABL), Department of Chemistry and Biology, Faculty of Science, Ryerson University, 350 Victoria St, Toronto, ON Canada
| | - Morla Phan
- 1Ryerson Analytical Biochemistry Laboratory (RABL), Department of Chemistry and Biology, Faculty of Science, Ryerson University, 350 Victoria St, Toronto, ON Canada
| | - Nargiz Mohamed
- 1Ryerson Analytical Biochemistry Laboratory (RABL), Department of Chemistry and Biology, Faculty of Science, Ryerson University, 350 Victoria St, Toronto, ON Canada
| | - Amir Ravandi
- 2Institute of Cardiovascular Sciences, St Boniface Hospital Research Center, University of Manitoba, Winnipeg, Canada
| | - Eric Stanton
- 3Division of Cardiology, Department of Medicine, McMaster University, Hamilton, Canada
| | - Arthur S Slutsky
- 4St. Michael's Hospital, Keenan Chair in Medicine, University of Toronto, Toronto, Canada
| | - Claudia C Dos Santos
- 5St. Michael's Hospital, Keenan Research Centre for Biomedical Science, Toronto, Canada
| | - Alexander Romaschin
- 5St. Michael's Hospital, Keenan Research Centre for Biomedical Science, Toronto, Canada
| | - John C Marshall
- 5St. Michael's Hospital, Keenan Research Centre for Biomedical Science, Toronto, Canada
| | - Christina Addison
- 6Program for Cancer Therapeutics, Ottawa Hospital Research Institute, Ottawa, Canada
| | - Shawn Malone
- 6Program for Cancer Therapeutics, Ottawa Hospital Research Institute, Ottawa, Canada
| | - Daren Heyland
- 7Clinical Evaluation Research Unit, Kingston General Hospital, Kingston, Canada
| | - Philip Scheltens
- 8Alzheimer Center, Department of Neurology, Amsterdam University Medical Centers, Vrije Universiteit, Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Joep Killestein
- 9MS Center, Department of Neurology, Amsterdam University Medical Centers, Vrije Universiteit, Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Charlotte Teunissen
- 10Neurochemistry Lab and Biobank, Department of Clinical Chemistry, Amsterdam University Medical Centers, Vrije Universiteit, Amsterdam Neuroscience, Amsterdam, The Netherlands
| | | | - K W M Siu
- 12University of Windsor, Windsor, Canada
| | - John G Marshall
- 1Ryerson Analytical Biochemistry Laboratory (RABL), Department of Chemistry and Biology, Faculty of Science, Ryerson University, 350 Victoria St, Toronto, ON Canada.,13International Biobank of Luxembourg (IBBL), Luxembourg Institute of Health (formerly CRP Sante Luxembourg), Strassen, Luxembourg
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Kalmykova SD, Arapidi GP, Urban AS, Osetrova MS, Gordeeva VD, Ivanov VT, Govorun VM. In Silico Analysis of Peptide Potential Biological Functions. RUSSIAN JOURNAL OF BIOORGANIC CHEMISTRY 2018. [DOI: 10.1134/s106816201804009x] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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10
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Dufresne J, Florentinus-Mefailoski A, Bowden P, Marshall JG. A method for the extraction of the endogenous tryptic peptides (peptidome) from human EDTA plasma. Anal Biochem 2018; 549:188-196. [PMID: 29486203 DOI: 10.1016/j.ab.2018.02.025] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2017] [Revised: 02/21/2018] [Accepted: 02/23/2018] [Indexed: 10/18/2022]
Abstract
The proteins identified from endogenous peptides agreed between serum versus plasma, and tryptic versus non-tryptic peptides, when collected by C18 alone and analyzed by liquid chromatography electrospray ionization and tandem mass spectrometry (LC-ESI-MS/MS) including amyloids, apolipoproteins, haptoglobin, complements, fibrinogens, hemopexin, antitrypsin and alpha 2 macroglobulin. Precipitation of polypeptides from plasma in 9 vol of 100% organic solvent followed by stepwise extraction of the insoluble pellet with an increasing fraction of water identified thousands of proteins. A Coomassie-blue protein binding assay, and tricine SDS-PAGE, showed that Acetonitrile-Water (AH) resulted in a greater relative enrichment of low molecular weight plasma polypeptides than Acetonitrile-Methanol Water (AMH). A total of 905,386 MS/MS spectra greater than ~10,000 (E4) counts were correlated by X!TANDEM to a federated human protein library of 153,124 different protein sequences that resulted in 58,223 fully tryptic peptides from 3463 Gene Symbols of which 1880 had ≥ 5 independent peptides (p ≤ 0.00001). The results were filtered and organized in an SQL database for analysis using the generic R statistical analysis system. Cellular proteins including secreted and exosome proteins, signaling factors, nucleic acid binding proteins, metabolic enzymes and uncharacterized factors were observed with a significant enrichment of expected protein-protein interactions by STRING analysis.
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Affiliation(s)
- Jaimie Dufresne
- Ryerson Analytical Biochemistry Laboratory (RABL), Department of Chemistry and Biology, Faculty of Science, Ryerson University, Toronto, ON, M5B 2K3, Canada
| | - Angelique Florentinus-Mefailoski
- Ryerson Analytical Biochemistry Laboratory (RABL), Department of Chemistry and Biology, Faculty of Science, Ryerson University, Toronto, ON, M5B 2K3, Canada
| | - Pete Bowden
- Ryerson Analytical Biochemistry Laboratory (RABL), Department of Chemistry and Biology, Faculty of Science, Ryerson University, Toronto, ON, M5B 2K3, Canada
| | - John G Marshall
- Ryerson Analytical Biochemistry Laboratory (RABL), Department of Chemistry and Biology, Faculty of Science, Ryerson University, Toronto, ON, M5B 2K3, Canada.
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11
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Methodology for Urine Peptidome Analysis Based on Nano-HPLC Coupled to Fourier Transform Ion Cyclotron Resonance Mass Spectrometry. Methods Mol Biol 2018; 1719:311-318. [PMID: 29476520 DOI: 10.1007/978-1-4939-7537-2_20] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/24/2023]
Abstract
Urine is a sample of choice for noninvasive biomarkers search because it is easily available in large amounts and its molecular composition provides information on processes in the organism. The high potential of urine peptidomics has been demonstrated for clinical purpose. Several mass spectrometry based approaches have been successfully applied for urine peptidome analysis and potential biomarkers search. Summarizing literature data and our own experience we developed a protocol for comprehensive urine peptidome analysis. The technology includes several stages and consists of urine sample preparation by size exclusion chromatography and identification of featured peptides by nano-HPLC coupled to Fourier transform ion cyclotron resonance mass spectrometry, semiquantitative and statistical data analysis.
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12
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Moore RE, Kirwan J, Doherty MK, Whitfield PD. Biomarker Discovery in Animal Health and Disease: The Application of Post-Genomic Technologies. Biomark Insights 2017. [DOI: 10.1177/117727190700200040] [Citation(s) in RCA: 30] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
The causes of many important diseases in animals are complex and multifactorial, which present unique challenges. Biomarkers indicate the presence or extent of a biological process, which is directly linked to the clinical manifestations and outcome of a particular disease. Identifying biomarkers or biomarker profiles will be an important step towards disease characterization and management of disease in animals. The emergence of post-genomic technologies has led to the development of strategies aimed at identifying specific and sensitive biomarkers from the thousands of molecules present in a tissue or biological fluid. This review will summarize the current developments in biomarker discovery and will focus on the role of transcriptomics, proteomics and metabolomics in biomarker discovery for animal health and disease.
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Affiliation(s)
- Rowan E. Moore
- Proteomics and Functional Genomics Research Group, Faculty of Veterinary Science, University of Liverpool, Liverpool, United Kingdom
| | - Jennifer Kirwan
- Proteomics and Functional Genomics Research Group, Faculty of Veterinary Science, University of Liverpool, Liverpool, United Kingdom
| | - Mary K. Doherty
- Proteomics and Functional Genomics Research Group, Faculty of Veterinary Science, University of Liverpool, Liverpool, United Kingdom
| | - Phillip D. Whitfield
- Proteomics and Functional Genomics Research Group, Faculty of Veterinary Science, University of Liverpool, Liverpool, United Kingdom
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13
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Qian Y, Zhang L, Rui C, Ding H, Mao P, Ruan H, Jia R. Peptidome analysis of amniotic fluid from pregnancies with preeclampsia. Mol Med Rep 2017; 16:7337-7344. [PMID: 28944906 PMCID: PMC5865863 DOI: 10.3892/mmr.2017.7582] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2017] [Accepted: 09/05/2017] [Indexed: 02/06/2023] Open
Abstract
Preeclampsia (PE), a life-threatening, complicated pregnancy-associated disease, has recently become a research focus in obstetrics. However, the peptidome of the amniotic fluid in PE patients has rarely been investigated. The present study used peptidomic profiling to perform a comparative analysis of human amniotic fluid between normal and PE pregnancies. Centrifugal ultrafiltration and liquid chromatography-tandem mass spectrometry (LC-MS/MS) was combined with isotopomeric dimethyl labels to gain a deeper understanding of the role of proteins and the peptidome in the onset of PE. Following ultrafiltration and LC-MS/MS, 352 peptides were identified. Of these, 23 peptides were observed to be significantly differentially expressed (6 downregulated and 17 upregulated; P<0.05). Using Gene Ontology and Blastp analyses, the functions and biological activities of these 23 peptides were identified and revealed to include autophagy, signal transduction, receptor activity, enzymatic activity and nucleic acid binding. In addition, a bibliographic search revealed that some of the identified peptides, including Titin, are crucial to the pathogenesis underlying PE. The present study identified 23 peptides expressed at significantly different levels in the amniotic fluid of PE and normal pregnancies. A comprehensive peptidome analysis is more efficient than a simple biomarker analysis at revealing deficiencies and improving the detection rate in diseases. These analyses therefore provide a substantial advantage in applications aimed at the discovery of disease-specific biomarkers.
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Affiliation(s)
- Yating Qian
- Department of Obstetrics and Gynecology, Obstetrics and Gynecology Hospital Affiliated to Nanjing Medical University, Nanjing, Jiangsu 210004, P.R. China
| | - Lei Zhang
- Department of Obstetrics and Gynecology, Obstetrics and Gynecology Hospital Affiliated to Nanjing Medical University, Nanjing, Jiangsu 210004, P.R. China
| | - Can Rui
- Department of Obstetrics and Gynecology, Obstetrics and Gynecology Hospital Affiliated to Nanjing Medical University, Nanjing, Jiangsu 210004, P.R. China
| | - Hongjuan Ding
- Department of Obstetrics and Gynecology, Obstetrics and Gynecology Hospital Affiliated to Nanjing Medical University, Nanjing, Jiangsu 210004, P.R. China
| | - Pengyuan Mao
- Department of Human Resources, Obstetrics and Gynecology Hospital Affiliated to Nanjing Medical University, Nanjing, Jiangsu 210004, P.R. China
| | - Hongjie Ruan
- Department of Obstetrics and Gynecology, Obstetrics and Gynecology Hospital Affiliated to Nanjing Medical University, Nanjing, Jiangsu 210004, P.R. China
| | - Ruizhe Jia
- Department of Obstetrics and Gynecology, Obstetrics and Gynecology Hospital Affiliated to Nanjing Medical University, Nanjing, Jiangsu 210004, P.R. China
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14
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Zhang J, Liang D, Cheng Q, Cao L, Wu Y, Wang Y, Han S, Yu Z, Cui X, Xu T, Ma D, Hu P, Xu Z. Peptidomic Analysis of Fetal Heart Tissue for Identification of Endogenous Peptides Involved in Tetralogy of Fallot. DNA Cell Biol 2017; 36:451-461. [PMID: 28304193 DOI: 10.1089/dna.2017.3647] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023] Open
Affiliation(s)
- Jingjing Zhang
- State Key Laboratory of Reproductive Medicine, Department of Prenatal Diagnosis, Obstetrics and Gynecology Hospital Affiliated to Nanjing Medical University, Nanjing, China
| | - Dong Liang
- State Key Laboratory of Reproductive Medicine, Department of Prenatal Diagnosis, Obstetrics and Gynecology Hospital Affiliated to Nanjing Medical University, Nanjing, China
| | - Qing Cheng
- Department of Obstetrics, Obstetrics and Gynecology Hospital Affiliated to Nanjing Medical University, Nanjing, China
| | - Li Cao
- Department of Ultrasound, Obstetrics and Gynecology Hospital Affiliated to Nanjing Medical University, Nanjing, China
| | - Yun Wu
- Department of Ultrasound, Obstetrics and Gynecology Hospital Affiliated to Nanjing Medical University, Nanjing, China
| | - Yan Wang
- State Key Laboratory of Reproductive Medicine, Department of Prenatal Diagnosis, Obstetrics and Gynecology Hospital Affiliated to Nanjing Medical University, Nanjing, China
| | - Shuping Han
- Department of Pediatrics, Obstetrics and Gynecology Hospital Affiliated to Nanjing Medical University, Nanjing, China
| | - Zhangbin Yu
- Department of Pediatrics, Obstetrics and Gynecology Hospital Affiliated to Nanjing Medical University, Nanjing, China
| | - Xianwei Cui
- Nanjing Maternal and Child Health Medical Institute, Obstetrics and Gynecology Hospital Affiliated to Nanjing Medical University, Nanjing, China
| | - Tianhui Xu
- State Key Laboratory of Reproductive Medicine, Department of Prenatal Diagnosis, Obstetrics and Gynecology Hospital Affiliated to Nanjing Medical University, Nanjing, China
| | - Dingyuan Ma
- State Key Laboratory of Reproductive Medicine, Department of Prenatal Diagnosis, Obstetrics and Gynecology Hospital Affiliated to Nanjing Medical University, Nanjing, China
| | - Ping Hu
- State Key Laboratory of Reproductive Medicine, Department of Prenatal Diagnosis, Obstetrics and Gynecology Hospital Affiliated to Nanjing Medical University, Nanjing, China
| | - Zhengfeng Xu
- State Key Laboratory of Reproductive Medicine, Department of Prenatal Diagnosis, Obstetrics and Gynecology Hospital Affiliated to Nanjing Medical University, Nanjing, China
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15
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Kononikhin A, Starodubtseva N, Bugrova A, Shirokova V, Chagovets V, Indeykina M, Popov I, Kostyukevich Y, Vavina O, Muminova K, Khodzhaeva Z, Kan N, Frankevich V, Nikolaev E, Sukhikh G. An untargeted approach for the analysis of the urine peptidome of women with preeclampsia. J Proteomics 2016; 149:38-43. [DOI: 10.1016/j.jprot.2016.04.024] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2015] [Revised: 03/31/2016] [Accepted: 04/15/2016] [Indexed: 12/18/2022]
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16
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Liu F, Zhao C, Liu L, Ding H, Huo R, Shi Z. Peptidome profiling of umbilical cord plasma associated with gestational diabetes-induced fetal macrosomia. J Proteomics 2016; 139:38-44. [PMID: 26945739 DOI: 10.1016/j.jprot.2016.03.001] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2015] [Revised: 02/25/2016] [Accepted: 03/01/2016] [Indexed: 01/08/2023]
Abstract
UNLABELLED Fetal macrosomia, defined as a birth weight ≥4000g, may affect 15-45% of newborns of women with gestational diabetes mellitus (GDM). The associations between endogenous peptides and gestational diabetes-induced macrosomia have not been investigated extensively by peptidome analysis. Here, we analyzed the umbilical cord plasma by combining ultrafiltration using molecular weight cut-off filters and liquid chromatography-tandem mass spectrometry (LC-MS/MS) to investigate potential associations of GDM with macrosomia. As macrosomic babies have increased susceptibility to obesity, diabetes and cardiovascular diseases in later life, we also aimed to identify specific biomarkers to detect these future diseases. Thirty pairs of GDM mothers and controls were randomly divided into three subgroups. We identified 235 peptides of around 1000-3000Da, originating from 115 proteins. Analyzing the cleavage sites revealed that these peptides were cleaved in regulation, which may reflect the protease activity and distribution in umbilical cord plasma. Four identified peptides, of 2471.7, 1077.2, 1446.5 and 2372.7Da, were significantly differentially expressed in the GDM macrosomia groups compared with controls, whose precursors may play a critical role in developing GDM macrosomia. We provide for the first time a validated GDM macrosomia peptidome profile and identify potential biomarkers linking the effects of macrosomia to later-life diseases. BIOLOGICAL SIGNIFICANCE Fetal macrosomia is the predominant adverse outcome of gestational diabetes mellitus (GDM), which is a frequent medical condition during pregnancy. Till now, the detailed molecular mechanisms underlying gestational diabetes-induced macrosomia are still not elucidated. With high detection sensitivity and high throughput of peptidome technology, it is now possible to systemically identify peptides possibly involved in the umbilical cord plasma of GDM induced macrosomia cases. With LC-MS/MS based quantification, totally, we identified 235 peptides originated from 115 precursor proteins. And four peptides of 2471.7, 1077.2, 1446.5 and 2372.7Da differentially expressed between GDM cases and compared controls. A precursor protein of 1077.2Da was fibrinogen alpha chain (FGA), which was also identified in the Ai et al. [29] study with a downregulated manner in the serum samples of GDM cases. And further analysis the cleavage pattern of the identified peptides revealed that the enzymes in tissues cleaved the protein according to their rules. Thus, this quantitative peptidome approach can identify related peptides that may play a role in the gestational diabetes-induced macrosomia, and give candidate biomarkers contributing to the development of later-life diseases in macrosomic babies.
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Affiliation(s)
- Fei Liu
- State Key Laboratory of Reproductive Medicine, Department of Histology and Embryology, Nanjing Medical University, Nanjing 210029, China
| | - Chun Zhao
- State Key Laboratory of Reproductive Medicine, Nanjing Maternity and Child Health Care Hospital Affiliated to Nanjing Medical University, Nanjing 210004, China
| | - Lan Liu
- State Key Laboratory of Reproductive Medicine, Nanjing Maternity and Child Health Care Hospital Affiliated to Nanjing Medical University, Nanjing 210004, China
| | - Hongjuan Ding
- State Key Laboratory of Reproductive Medicine, Nanjing Maternity and Child Health Care Hospital Affiliated to Nanjing Medical University, Nanjing 210004, China
| | - Ran Huo
- State Key Laboratory of Reproductive Medicine, Department of Histology and Embryology, Nanjing Medical University, Nanjing 210029, China.
| | - Zhonghua Shi
- State Key Laboratory of Reproductive Medicine, Nanjing Maternity and Child Health Care Hospital Affiliated to Nanjing Medical University, Nanjing 210004, China.
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17
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Rosting C, Gjelstad A, Halvorsen TG. Water-Soluble Dried Blood Spot in Protein Analysis: A Proof-of-Concept Study. Anal Chem 2015; 87:7918-24. [DOI: 10.1021/acs.analchem.5b01735] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/14/2023]
Affiliation(s)
- Cecilie Rosting
- Department of Pharmaceutical
Chemistry, School of Pharmacy, University of Oslo, 0316 Oslo, Norway
| | - Astrid Gjelstad
- Department of Pharmaceutical
Chemistry, School of Pharmacy, University of Oslo, 0316 Oslo, Norway
| | - Trine Grønhaug Halvorsen
- Department of Pharmaceutical
Chemistry, School of Pharmacy, University of Oslo, 0316 Oslo, Norway
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18
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Fesenko IA, Arapidi GP, Skripnikov AY, Alexeev DG, Kostryukova ES, Manolov AI, Altukhov IA, Khazigaleeva RA, Seredina AV, Kovalchuk SI, Ziganshin RH, Zgoda VG, Novikova SE, Semashko TA, Slizhikova DK, Ptushenko VV, Gorbachev AY, Govorun VM, Ivanov VT. Specific pools of endogenous peptides are present in gametophore, protonema, and protoplast cells of the moss Physcomitrella patens. BMC PLANT BIOLOGY 2015; 15:87. [PMID: 25848929 PMCID: PMC4365561 DOI: 10.1186/s12870-015-0468-7] [Citation(s) in RCA: 32] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/08/2014] [Accepted: 02/26/2015] [Indexed: 05/27/2023]
Abstract
BACKGROUND Protein degradation is a basic cell process that operates in general protein turnover or to produce bioactive peptides. However, very little is known about the qualitative and quantitative composition of a plant cell peptidome, the actual result of this degradation. In this study we comprehensively analyzed a plant cell peptidome and systematically analyzed the peptide generation process. RESULTS We thoroughly analyzed native peptide pools of Physcomitrella patens moss in two developmental stages as well as in protoplasts. Peptidomic analysis was supplemented by transcriptional profiling and quantitative analysis of precursor proteins. In total, over 20,000 unique endogenous peptides, ranging in size from 5 to 78 amino acid residues, were identified. We showed that in both the protonema and protoplast states, plastid proteins served as the main source of peptides and that their major fraction formed outside of chloroplasts. However, in general, the composition of peptide pools was very different between these cell types. In gametophores, stress-related proteins, e.g., late embryogenesis abundant proteins, were among the most productive precursors. The Driselase-mediated protonema conversion to protoplasts led to a peptide generation "burst", with a several-fold increase in the number of components in the latter. Degradation of plastid proteins in protoplasts was accompanied by suppression of photosynthetic activity. CONCLUSION We suggest that peptide pools in plant cells are not merely a product of waste protein degradation, but may serve as important functional components for plant metabolism. We assume that the peptide "burst" is a form of biotic stress response that might produce peptides with antimicrobial activity from originally functional proteins. Potential functions of peptides in different developmental stages are discussed.
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Affiliation(s)
- Igor A Fesenko
- />Department of Proteomics, Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry of the Russian Academy of Sciences, 16/10, Miklukho-Maklaya, GSP-7, Moscow, 117997 Russian Federation
| | - Georgij P Arapidi
- />Department of Proteomics, Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry of the Russian Academy of Sciences, 16/10, Miklukho-Maklaya, GSP-7, Moscow, 117997 Russian Federation
- />Moscow Institute of Physics and Technology, 9 Institutskiy per., Dolgoprudny, Moscow Region, 141700 Russian Federation
| | - Alexander Yu Skripnikov
- />Department of Proteomics, Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry of the Russian Academy of Sciences, 16/10, Miklukho-Maklaya, GSP-7, Moscow, 117997 Russian Federation
- />Biology Department, Lomonosov Moscow State University, Moscow, 199234 Russian Federation
| | - Dmitry G Alexeev
- />Research Institute of Physical-Chemical Medicine, Federal Medical & Biological Agency, 1a, Malaya Pirogovskaya, Moscow, 119992 Russian Federation
- />Moscow Institute of Physics and Technology, 9 Institutskiy per., Dolgoprudny, Moscow Region, 141700 Russian Federation
| | - Elena S Kostryukova
- />Research Institute of Physical-Chemical Medicine, Federal Medical & Biological Agency, 1a, Malaya Pirogovskaya, Moscow, 119992 Russian Federation
| | - Alexander I Manolov
- />Research Institute of Physical-Chemical Medicine, Federal Medical & Biological Agency, 1a, Malaya Pirogovskaya, Moscow, 119992 Russian Federation
- />Moscow Institute of Physics and Technology, 9 Institutskiy per., Dolgoprudny, Moscow Region, 141700 Russian Federation
| | - Ilya A Altukhov
- />Research Institute of Physical-Chemical Medicine, Federal Medical & Biological Agency, 1a, Malaya Pirogovskaya, Moscow, 119992 Russian Federation
- />Moscow Institute of Physics and Technology, 9 Institutskiy per., Dolgoprudny, Moscow Region, 141700 Russian Federation
| | - Regina A Khazigaleeva
- />Department of Proteomics, Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry of the Russian Academy of Sciences, 16/10, Miklukho-Maklaya, GSP-7, Moscow, 117997 Russian Federation
| | - Anna V Seredina
- />Department of Proteomics, Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry of the Russian Academy of Sciences, 16/10, Miklukho-Maklaya, GSP-7, Moscow, 117997 Russian Federation
| | - Sergey I Kovalchuk
- />Department of Proteomics, Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry of the Russian Academy of Sciences, 16/10, Miklukho-Maklaya, GSP-7, Moscow, 117997 Russian Federation
- />Research Institute of Physical-Chemical Medicine, Federal Medical & Biological Agency, 1a, Malaya Pirogovskaya, Moscow, 119992 Russian Federation
| | - Rustam H Ziganshin
- />Department of Proteomics, Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry of the Russian Academy of Sciences, 16/10, Miklukho-Maklaya, GSP-7, Moscow, 117997 Russian Federation
| | - Viktor G Zgoda
- />Institute of Biomedical Chemistry RAMS im. V.N. Orehovicha, 10, Pogodinskaya Street, Moscow, 119121 Russian Federation
| | - Svetlana E Novikova
- />Institute of Biomedical Chemistry RAMS im. V.N. Orehovicha, 10, Pogodinskaya Street, Moscow, 119121 Russian Federation
| | - Tatiana A Semashko
- />Research Institute of Physical-Chemical Medicine, Federal Medical & Biological Agency, 1a, Malaya Pirogovskaya, Moscow, 119992 Russian Federation
| | - Darya K Slizhikova
- />Department of Proteomics, Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry of the Russian Academy of Sciences, 16/10, Miklukho-Maklaya, GSP-7, Moscow, 117997 Russian Federation
| | - Vasilij V Ptushenko
- />A. N. Belozersky Institute of Physico-Chemical Biology, M.V. Lomonosov Moscow State University, Leninskye Gory, House 1, Building 40, Moscow, 119992 Russian Federation
| | - Alexey Y Gorbachev
- />Research Institute of Physical-Chemical Medicine, Federal Medical & Biological Agency, 1a, Malaya Pirogovskaya, Moscow, 119992 Russian Federation
| | - Vadim M Govorun
- />Department of Proteomics, Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry of the Russian Academy of Sciences, 16/10, Miklukho-Maklaya, GSP-7, Moscow, 117997 Russian Federation
- />Research Institute of Physical-Chemical Medicine, Federal Medical & Biological Agency, 1a, Malaya Pirogovskaya, Moscow, 119992 Russian Federation
- />Moscow Institute of Physics and Technology, 9 Institutskiy per., Dolgoprudny, Moscow Region, 141700 Russian Federation
| | - Vadim T Ivanov
- />Department of Proteomics, Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry of the Russian Academy of Sciences, 16/10, Miklukho-Maklaya, GSP-7, Moscow, 117997 Russian Federation
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19
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Lambers TT, Gloerich J, van Hoffen E, Alkema W, Hondmann DH, van Tol EA. Clustering analyses in peptidomics revealed that peptide profiles of infant formulae are descriptive. Food Sci Nutr 2014; 3:81-90. [PMID: 25648153 PMCID: PMC4304566 DOI: 10.1002/fsn3.196] [Citation(s) in RCA: 35] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2014] [Revised: 11/27/2014] [Accepted: 11/28/2014] [Indexed: 01/05/2023] Open
Abstract
Prompted by the accumulating evidence on bioactive moieties of milk-derived peptides, novel methods were applied to compare the peptide composition among commercially available hydrolysate formulations and to determine batch-to-batch variations of protein hydrolysate products. Despite the availability of general methods to measure, for example, the degree of hydrolysis and peptide mass distribution at a high level, the objective of this study was to more qualitatively compare peptide sequences and composition. By a comprehensive approach combining peptidomics technologies and multivariate clustering analyses, the peptide profiles of different hydrolyzed milk protein formulations were compared. Moreover, peptide profiles of various hydrolysate batches that had been produced over a period of 5 years were included. Coupling of identified peptide sequences to the position in their corresponding milk proteins produced numerical datasets that subsequently were utilized for multivariate data analyses. These analyses revealed that batch-to-batch variation in the peptide profiles of a specific extensively hydrolyzed casein preparation was low. Moreover, extensive multivariate evaluations revealed that the peptide profiles of different commercially available hydrolyzed milk protein formulations provided a descriptive and distinct signature. Overall, the described methodology may contribute to the field of peptide research as observed dissimilarities in peptide profiles of similar products may be related to differences in their overall functionality.
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Affiliation(s)
- Tim T Lambers
- Mead Johnson Pediatric Nutrition Institute Nijmegen, The Netherlands
| | - Jolein Gloerich
- Radboud Proteomics Center, Department of Laboratory Medicine, Radboud University Medical Center Nijmegen, The Netherlands
| | | | | | - Dirk H Hondmann
- Mead Johnson Pediatric Nutrition Institute Nijmegen, The Netherlands
| | - Eric Af van Tol
- Mead Johnson Pediatric Nutrition Institute Nijmegen, The Netherlands
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20
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Abstract
During the last decade, a major breakthrough in the field of proteomics has been achieved. This review describes available techniques for proteomic analyses, both gel and non-gel based, particularly concentrating on relative quantification techniques. The principle of the different techniques is discussed, highlighting the advantages and drawbacks of recently available visualization methods in gel-based assays. In addition, recent developments for quantitative analysis in non-gel-based approaches are summarized. This review focuses on applications in Type 1 diabetes. These mainly include proteomic studies on pancreatic islets in animal models and in the human situation. Also discussed are mass spectrometry-based studies on T-cells, and studies on the development of diagnostic markers for diabetic nephropathology by capillary electrophoresis coupled to mass spectrometry.
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Affiliation(s)
- Wannes D'Hertog
- Laboratory for Experimental Medicine & Endocrinology (LEGENDO), University Hospital Gasthuisberg, Herestraat 49, Catholic University of Leuven, Leuven, Belgium.
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21
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Cui XW, Jiang XY, Chen JT, Rong C, Fu ZY, Ji CB, Guo XR. WITHDRAWN: Comprehensive peptidome analysis of human milk from women delivering macrosomic and non-macrosomic infants. J Funct Foods 2013. [DOI: 10.1016/j.jff.2013.10.021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
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22
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Wan J, Cui XW, Zhang J, Fu ZY, Guo XR, Sun LZ, Ji CB. Peptidome analysis of human skim milk in term and preterm milk. Biochem Biophys Res Commun 2013; 438:236-41. [PMID: 23891694 DOI: 10.1016/j.bbrc.2013.07.068] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2013] [Accepted: 07/17/2013] [Indexed: 11/27/2022]
Abstract
The abundant proteins in human milk have been well characterized and are known to provide nutritional, protective, and developmental advantages to both term and preterm infants. Due to the difficulties associated with detection technology of the peptides, the expression of the peptides present in human milk is not known widely. In recent years, peptidome analysis has received increasing attention. In this report, the analysis of endogenous peptides in human milk was done by mass spectrometry. A method was also developed by our researchers, which can be used in the extraction of peptide from human milk. Analysis of the extracts by LC-MS/MS resulted in the detection of 1000-3000Da peptide-like features. Out of these, 419 peptides were identified by MS/MS. The identified peptides were found to originate from 34 proteins, of which several have been reported. Analysis of the peptides' cleavage sites showed that the peptides are cleaved with regulations. This may reflect the protease activity and distribution in human body, and also represent the biological state of the tissue and provide a fresh source for biomarker discovery. Isotope dimethyl labeling analysis was also used to test the effects of premature delivery on milk protein composition in this study. Differences in peptides expression between breast milk in term milk (38-41weeks gestation) and preterm milk (28-32weeks gestation) were investigated in this study. 41 Peptides in these two groups were found expressed differently. 23 Peptides were present at higher levels in preterm milk, and 18 were present at higher levels in term milk.
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Affiliation(s)
- Jun Wan
- Nanjing Maternal and Child Health Medical Institute, Nanjing Medical University Affiliated Nanjing Maternal and Child Health Hospital, China
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23
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Kundu TK, Jaisankar P, Roy S. International symposium on challenges in chemical biology: toward the formation of Chemical Biology Society of India. ACS Chem Biol 2013; 8:658-61. [PMID: 23560637 DOI: 10.1021/cb4001876] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
Affiliation(s)
- Tapas K Kundu
- Transcription and Disease Laboratory, Molecular Biology and Genetics Unit, Jawaharlal Nehru Centre for Advanced Scientific Research, Bangalore, India.
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24
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Liu L, Zhang Y, Zhang L, Yan G, Yao J, Yang P, Lu H. Highly specific revelation of rat serum glycopeptidome by boronic acid-functionalized mesoporous silica. Anal Chim Acta 2012; 753:64-72. [PMID: 23107138 DOI: 10.1016/j.aca.2012.10.002] [Citation(s) in RCA: 104] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2012] [Revised: 09/23/2012] [Accepted: 10/01/2012] [Indexed: 01/01/2023]
Abstract
Although the specific profiling of endogenous glycopeptides in serum is highly inclined towards the discovery of disease biomarkers, studies on the endogenous glycopeptides (glycopeptidome) have never been conducted because of several factors. These factors include the high dynamic range of serum proteins, the inadequacy of traditional sample preparation techniques in proteomics for low-molecular-weight (LMW) proteins, and the relatively low abundances of glycopeptides. Boronic acid-functionalized mesoporous silica was synthesized in this study to overcome the limitations of the state-of-the-art methods for glycopeptidome research. The boronic acid-functionalized mesoporous silica exhibited excellent selectivity by analyzing glycopeptides in the mixture of glycopeptides/non-glycopeptides at molar ratio of 1:100, extreme sensitivity (the limit of detection was at the fmol level), good binding capacity (40 mg g(-1)), as well as the high post-enrichment recovery of glycopeptides (up to 88.10%). The as-prepared material possessing both glycopeptide-suitable pore size and glycopeptide-specific selectivity has shown special capability for enriching the endogenous glycopeptides. Fifteen unique glycosylation sites mapped to 15 different endogenous glycopeptides were identified in rat serum. The established protocol revealed for the first time the rat serum glycopeptidome.
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Affiliation(s)
- Liting Liu
- Shanghai Cancer Center and Department of Chemistry, Fudan University, Shanghai 200032, PR China
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Klingler D, Hardt M. Targeting proteases in cardiovascular diseases by mass spectrometry-based proteomics. ACTA ACUST UNITED AC 2012; 5:265. [PMID: 22511707 DOI: 10.1161/circgenetics.110.957811] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Affiliation(s)
- Diana Klingler
- Boston Biomedical Research Institute, 64 Grove Street, Watertown, MA 02472, USA
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26
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Li XS, Su X, Zhu GT, Zhao Y, Yuan BF, Guo L, Feng YQ. Titanium-containing magnetic mesoporous silica spheres: Effective enrichment of peptides and simultaneous separation of nonphosphopeptides and phosphopeptides. J Sep Sci 2012; 35:1506-13. [DOI: 10.1002/jssc.201101067] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Affiliation(s)
- Xiao-Shui Li
- Key Laboratory of Analytical Chemistry for Biology and Medicine (Ministry of Education); Department of Chemistry; Wuhan University; Wuhan P. R. China
| | - Xin Su
- Key Laboratory of Analytical Chemistry for Biology and Medicine (Ministry of Education); Department of Chemistry; Wuhan University; Wuhan P. R. China
| | - Gang-tian Zhu
- Key Laboratory of Analytical Chemistry for Biology and Medicine (Ministry of Education); Department of Chemistry; Wuhan University; Wuhan P. R. China
| | - Yong Zhao
- Key Laboratory of Analytical Chemistry for Biology and Medicine (Ministry of Education); Department of Chemistry; Wuhan University; Wuhan P. R. China
- College of Life Sciences and State Key Laboratory of Virology; Wuhan University; Wuhan P. R. China
| | - Bi-Feng Yuan
- Key Laboratory of Analytical Chemistry for Biology and Medicine (Ministry of Education); Department of Chemistry; Wuhan University; Wuhan P. R. China
| | - Lin Guo
- Key Laboratory of Analytical Chemistry for Biology and Medicine (Ministry of Education); Department of Chemistry; Wuhan University; Wuhan P. R. China
- College of Life Sciences and State Key Laboratory of Virology; Wuhan University; Wuhan P. R. China
| | - Yu-Qi Feng
- Key Laboratory of Analytical Chemistry for Biology and Medicine (Ministry of Education); Department of Chemistry; Wuhan University; Wuhan P. R. China
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Ladoukakis E, Pereira V, Magny EG, Eyre-Walker A, Couso JP. Hundreds of putatively functional small open reading frames in Drosophila. Genome Biol 2011; 12:R118. [PMID: 22118156 PMCID: PMC3334604 DOI: 10.1186/gb-2011-12-11-r118] [Citation(s) in RCA: 120] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2011] [Revised: 11/04/2011] [Accepted: 11/25/2011] [Indexed: 12/22/2022] Open
Abstract
Background The relationship between DNA sequence and encoded information is still an unsolved puzzle. The number of protein-coding genes in higher eukaryotes identified by genome projects is lower than was expected, while a considerable amount of putatively non-coding transcription has been detected. Functional small open reading frames (smORFs) are known to exist in several organisms. However, coding sequence detection methods are biased against detecting such very short open reading frames. Thus, a substantial number of non-canonical coding regions encoding short peptides might await characterization. Results Using bio-informatics methods, we have searched for smORFs of less than 100 amino acids in the putatively non-coding euchromatic DNA of Drosophila melanogaster, and initially identified nearly 600,000 of them. We have studied the pattern of conservation of these smORFs as coding entities between D. melanogaster and Drosophila pseudoobscura, their presence in syntenic and in transcribed regions of the genome, and their ratio of conservative versus non-conservative nucleotide changes. For negative controls, we compared the results with those obtained using random short sequences, while a positive control was provided by smORFs validated by proteomics data. Conclusions The combination of these analyses led us to postulate the existence of at least 401 functional smORFs in Drosophila, with the possibility that as many as 4,561 such functional smORFs may exist.
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Seip KF, Stigsson J, Gjelstad A, Balchen M, Pedersen-Bjergaard S. Electromembrane extraction of peptides - Fundamental studies on the supported liquid membrane. J Sep Sci 2011; 34:3410-7. [DOI: 10.1002/jssc.201100558] [Citation(s) in RCA: 44] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2011] [Revised: 08/08/2011] [Accepted: 09/09/2011] [Indexed: 11/08/2022]
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Govorun VM, Ivanov VT. [Proteomics and peptidomics in fundamental and applied medical studies]. RUSSIAN JOURNAL OF BIOORGANIC CHEMISTRY 2011; 37:199-215. [PMID: 21721253 DOI: 10.1134/s1068162011020063] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
The review is focused on current issues of biomedical proteomics and peptidomics. The main attention is paid to modem proteomics technologies applied in medical research--extraction, detection and data analysis techniques. The use of chromatography, mass spectrometry and chromato mass spectrometry in proteogenomic, biomedical studies and biomarker discovery is discussed in detail.
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Skripnikov AI, Anikanov NA, Kazakov VS, Dolgov SV, Ziganshin RK, Govorun VM, Ivanov VT. [Exploration and identification of Physcomitrella patens moss peptides]. RUSSIAN JOURNAL OF BIOORGANIC CHEMISTRY 2011; 37:108-18. [PMID: 21460886 DOI: 10.1134/s1068162011010158] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
In the current study the isolation and identification of Physcomitrella patens (Hedw.) B.S.G. moss peptides are described. Physcomitrella patens moss is actively used in recent years as a model organism to study the biology of plants. Protoplasts, protonemata and gametophores of the moss are demonstrated for the first time to contain diverse small peptides. From gametophores was isolated and identified 58 peptides that are fragments of 14 proteins, and from protonemata - 49 peptides, fragments of 15 proteins. It was found that the protonemata and gametophores Ph. patens, which are the successive stages of development of this plant, significantly different from each other as a peptide composition and the spectrum of the precursor protein of identified peptides. Isolation of protoplasts of the enzymatic destruction of cell wall protonemata accompanied by massive degradation of intracellular proteins, many of whom are proteins of photosynthesis, which is a characteristic response of plants to stress the impact of environmental factors. A total of moss protoplasts were isolated and identified 323 peptides that are fragments of 79 proteins.
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Paulo JA, Lee LS, Wu B, Repas K, Banks PA, Conwell DL, Steen H. Proteomic analysis of endoscopically (endoscopic pancreatic function test) collected gastroduodenal fluid using in-gel tryptic digestion followed by LC-MS/MS. Proteomics Clin Appl 2011; 4:715-25. [PMID: 21137089 DOI: 10.1002/prca.201000018] [Citation(s) in RCA: 22] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
PURPOSE Proteomic analysis of gastroduodenal fluid offers an alternative strategy to study diseases, such as peptic ulcer disease and gastric cancer. We use in-gel tryptic digestion followed by LC-MS/MS (GeLC-MS/MS) to profile the proteome of gastroduodenal fluid collected during the endoscopic pancreatic function test (ePFT). EXPERIMENTAL DESIGN Gastroduodenal fluid specimens collected during ePFT from six patients with upper abdominal pain were subjected to proteomic analysis. We extracted proteins using three chemical precipitation reagents (acetone, ethanol, and trichloroacetic acid) and analyzed each sample by SDS-PAGE and GeLC-MS/MS for protein identification. Cellular origin and molecular function of the identified proteins were determined via gene ontology analysis. RESULTS All three precipitation techniques successfully extracted protein from gastroduodenal fluid, with acetone resulting in excellent resolution and minimal protein degradation compared with the other methods. A total of 134 unique proteins were found in our GeLC-MS/MS analysis of ePFT-collected gastroduodenal fluid samples. Sixty-seven proteins were identified in at least two of the three samples. Gene ontology analysis classified these proteins mainly as being peptidases and localized extracellularly. CONCLUSIONS AND CLINICAL RELEVANCE ePFT, followed by acetone precipitation, and coupled with LC-MS/MS, can be used to safely collect gastroduodenal fluid from the upper gastrointestinal tract for MS-based proteomic analysis.
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Affiliation(s)
- Joao A Paulo
- Department of Pathology, Children's Hospital Boston, Boston, MA, USA
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Taneja S, Ahmad I, Sen S, Kumar S, Arora R, Gupta VK, Aggarwal R, Narayanasamy K, Reddy VS, Jameel S. Plasma peptidome profiling of acute hepatitis E patients by MALDI-TOF/TOF. Proteome Sci 2011; 9:5. [PMID: 21294899 PMCID: PMC3042370 DOI: 10.1186/1477-5956-9-5] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2010] [Accepted: 02/04/2011] [Indexed: 01/22/2023] Open
Abstract
Background Hepatitis E is endemic to resource-poor regions, where it manifests as sporadic cases and large waterborne outbreaks. The disease severity ranges from acute self-limited hepatitis with low mortality to fulminant hepatic failure with high mortality. It is believed that the host response plays an important role in determining the progression and outcome of this disease. We profiled the plasma peptidome from hepatitis E patients to discover suitable biomarkers and understand disease pathogenesis. Results The peptidome (< 10 kDa) fraction of plasma was enriched and analyzed by mass spectrometry. A comparative analysis of the peptide pattern of hepatitis E patients versus healthy controls was performed using ClinPro Tools. We generated a peptide profile that could be used for selective identification of hepatitis E cases. We have identified five potential biomarker peaks with m/z values of 9288.6, 7763.6, 4961.5, 1060.572 and 2365.139 that can be used to reliably differentiate between hepatitis E patients and controls with areas under the receiver operating characteristic curve (AUROC) values of 1.00, 0.954, 0.989, 0.960 and 0.829 respectively. A number of proteins involved in innate immunity were identified to be differentially present in the plasma of patients compared to healthy controls. Conclusions Besides the utility of this approach for biomarker discovery, identification of changes in endogenous peptides in hepatitis E patient plasma has increased our understanding of disease pathogenesis. We have identified peptides in plasma that can reliably distinguish hepatitis E patients from healthy controls. Results from this and an earlier proteomics study are discussed.
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Affiliation(s)
- Shikha Taneja
- Virology Group, International Centre for Genetic Engineering and Biotechnology, Aruna Asaf Ali Marg, New Delhi - 110067, India.
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Balchen M, Hatterud AG, Reubsaet L, Pedersen-Bjergaard S. Fundamental studies on the electrokinetic transfer of net cationic peptides across supported liquid membranes. J Sep Sci 2010; 34:186-95. [DOI: 10.1002/jssc.201000703] [Citation(s) in RCA: 39] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2010] [Revised: 11/05/2010] [Accepted: 11/05/2010] [Indexed: 11/10/2022]
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Paulo JA, Lee LS, Wu B, Repas K, Banks PA, Conwell DL, Steen H. Optimized sample preparation of endoscopic collected pancreatic fluid for SDS-PAGE analysis. Electrophoresis 2010; 31:2377-87. [PMID: 20589857 DOI: 10.1002/elps.200900762] [Citation(s) in RCA: 26] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
The standardization of methods for human body fluid protein isolation is a critical initial step for proteomic analyses aimed to discover clinically relevant biomarkers. Several caveats have hindered pancreatic fluid proteomics, including the heterogeneity of samples and protein degradation. We aim to optimize sample handling of pancreatic fluid that has been collected using a safe and effective endoscopic collection method (endoscopic pancreatic function test). Using SDS-PAGE protein profiling, we investigate (i) precipitation techniques to maximize protein extraction, (ii) auto-digestion of pancreatic fluid following prolonged exposure to a range of temperatures, (iii) effects of multiple freeze-thaw cycles on protein stability, and (iv) the utility of protease inhibitors. Our experiments revealed that TCA precipitation resulted in the most efficient extraction of protein from pancreatic fluid of the eight methods we investigated. In addition, our data reveal that although auto-digestion of proteins is prevalent at 23 and 37 degrees C, incubation on ice significantly slows such degradation. Similarly, when the sample is maintained on ice, proteolysis is minimal during multiple freeze-thaw cycles. We have also determined the addition of protease inhibitors to be assay-dependent. Our optimized sample preparation strategy can be applied to future proteomic analyses of pancreatic fluid.
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Affiliation(s)
- Joao A Paulo
- Department of Pathology, Children's Hospital Boston and Harvard Medical School, Boston, MA 02115, USA
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35
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Wang L, Evaristo G, Zhou M, Pinkse M, Wang M, Xu Y, Jiang X, Chen T, Rao P, Verhaert P, Shaw C. Nigrocin-2 peptides from Chinese Odorrana frogs - integration of UPLC/MS/MS with molecular cloning in amphibian skin peptidome analysis. FEBS J 2010; 277:1519-31. [DOI: 10.1111/j.1742-4658.2010.07580.x] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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Boonen K, Husson SJ, Landuyt B, Baggerman G, Hayakawa E, Luyten WHML, Schoofs L. Identification and relative quantification of neuropeptides from the endocrine tissues. Methods Mol Biol 2010; 615:191-206. [PMID: 20013210 DOI: 10.1007/978-1-60761-535-4_15] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/28/2023]
Abstract
Endocrine tissues like the pituitary, hypothalamus and islets of Langerhans are rich in bioactive peptides. These are used for intercellular signalling and are involved in regulation of almost all physiological processes. Peptidomics is the comprehensive analysis of peptides in tissues, fluids and cells. Peptidomics applied to (neuro-)endocrine tissues aims therefore to identify as many bioactive peptides as possible. Peptidomics of (neuro-)endocrine tissues requires an integrated approach that consists of careful sample handling, peptide separation techniques, mass spectrometry and bioinformatics. Here we describe the methods for isolation and dissection of endocrine tissues, the extraction of bioactive peptides and further sample handling and identification of peptides by mass spectrometry and hyphenated techniques. We also present a straightforward method for the comparison of relative levels of bioactive peptides in these endocrine tissues under varying physiological conditions. The latter helps to elucidate functions of the bioactive peptides.
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Affiliation(s)
- Kurt Boonen
- Functional Genomics and Proteomics Research Unit, Department of Biology, K.U. Leuven, Leuven, Belgium
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37
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Archakov A, Bergeron JJM, Khlunov A, Lisitsa A, Paik YK. The Moscow HUPO Human Proteome Project workshop. Mol Cell Proteomics 2009; 8:2199-200. [PMID: 19734150 DOI: 10.1074/mcp.h900009-mcp200] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Affiliation(s)
- Alexander Archakov
- Institute of Biomedical Chemistry, Russian Academy of Medical Sciences, Pogodinskaya str., 10 Moscow, 119121, Russia.
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39
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Yatskin ON, Karelin AA, Ivanov VT. Peptidomes of the brain, heart, lung, and spleen of a rat: Similarity and differences. RUSSIAN JOURNAL OF BIOORGANIC CHEMISTRY 2009. [DOI: 10.1134/s1068162009040037] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
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40
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Ahmed FE. Sample preparation and fractionation for proteome analysis and cancer biomarker discovery by mass spectrometry. J Sep Sci 2009; 32:771-98. [PMID: 19219839 DOI: 10.1002/jssc.200800622] [Citation(s) in RCA: 27] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Sample preparation and fractionation technologies are one of the most crucial processes in proteomic analysis and biomarker discovery in solubilized samples. Chromatographic or electrophoretic proteomic technologies are also available for separation of cellular protein components. There are, however, considerable limitations in currently available proteomic technologies as none of them allows for the analysis of the entire proteome in a simple step because of the large number of peptides, and because of the wide concentration dynamic range of the proteome in clinical blood samples. The results of any undertaken experiment depend on the condition of the starting material. Therefore, proper experimental design and pertinent sample preparation is essential to obtain meaningful results, particularly in comparative clinical proteomics in which one is looking for minor differences between experimental (diseased) and control (nondiseased) samples. This review discusses problems associated with general and specialized strategies of sample preparation and fractionation, dealing with samples that are solution or suspension, in a frozen tissue state, or formalin-preserved tissue archival samples, and illustrates how sample processing might influence detection with mass spectrometric techniques. Strategies that dramatically improve the potential for cancer biomarker discovery in minimally invasive, blood-collected human samples are also presented.
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Affiliation(s)
- Farid E Ahmed
- Department of Radiation Oncology, Leo W. Jenkins Cancer Center, The Brody School of Medicine at East Carolina University, Greenville, NC, USA.
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41
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Blishchenko EY, Sazonova OV, Yatskin ON, Kalinina OA, Tolmazova AG, Philippova MM, Karelin AA, Ivanov VT. beta-Actin-derived peptides isolated from acidic extract of rat spleen suppress tumor cell growth. J Pept Sci 2008; 14:811-8. [PMID: 18219705 DOI: 10.1002/psc.1008] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Twenty-two fragments of beta-actin and beta-actin-related protein were isolated from the acidic extracts of rat spleen tissue. beta-Actin fragments (75-90), (78-89), and (78-88), 0.01-1 microM, decreased live cell number of L929 murine tumor fibroblasts by 80-90%, with maximal cytotoxic effect of 30-40%. The fragments of (78-90) segment and the fragment of beta-actin-related protein (69-77) were less active (inhibitory effect up to 55%, cytotoxic-up to 25%).
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Affiliation(s)
- Elena Y Blishchenko
- Shemyakin-Ovchinnikov Institute of Bio-organic Chemistry, Russian Academy of Sciences, Moscow, V-437, GSP, Russia
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Clynen E, Baggerman G, Husson SJ, Landuyt B, Schoofs L. Peptidomics in drug research. Expert Opin Drug Discov 2008; 3:425-40. [DOI: 10.1517/17460441.3.4.425] [Citation(s) in RCA: 14] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/14/2023]
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43
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Boonen K, Landuyt B, Baggerman G, Husson SJ, Huybrechts J, Schoofs L. Peptidomics: The integrated approach of MS, hyphenated techniques and bioinformatics for neuropeptide analysis. J Sep Sci 2008; 31:427-45. [DOI: 10.1002/jssc.200700450] [Citation(s) in RCA: 78] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
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Abstract
The article brings a comprehensive survey of recent developments and applications of high-performance capillary electromigration methods, zone electrophoresis, ITP, IEF, affinity electrophoresis, EKC, and electrochromatography, to analysis, preparation, and physicochemical characterization of peptides. New approaches to the theoretical description and experimental verification of electromigration behavior of peptides and to methodology of their separations, such as sample preparation, adsorption suppression, and detection, are presented. Novel developments in individual CE and CEC modes are shown and several types of their applications to peptide analysis are presented: conventional qualitative and quantitative analysis, purity control, determination in biomatrices, monitoring of chemical and enzymatical reactions and physical changes, amino acid and sequence analysis, and peptide mapping of proteins. Some examples of micropreparative peptide separations are given and capabilities of CE and CEC techniques to provide important physicochemical characteristics of peptides are demonstrated.
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Affiliation(s)
- Václav Kasicka
- Institute of Organic Chemistry and Biochemistry, Academy of Sciences of the Czech Republic, Prague, Czech Republic.
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45
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Pimenta DC, Lebrun I. Cryptides: buried secrets in proteins. Peptides 2007; 28:2403-10. [PMID: 18023928 DOI: 10.1016/j.peptides.2007.10.005] [Citation(s) in RCA: 66] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/06/2007] [Revised: 10/02/2007] [Accepted: 10/03/2007] [Indexed: 11/27/2022]
Abstract
The proteome originally described the entire set of proteins expressed by a genome, tissue or organism. Subsequently this term was limited to all the expressed proteins at a given time under defined conditions. Hence, specializations such as functional proteome, cancer proteome, liver proteome and so forth have arisen. One particular proteome that has been recently described is the cryptome, a unique subset of already known proteins that has the ability of generating bioactive peptides and proteins when submitted to proteolytic cleavage, rather than the classical processing pathways. This is an idea in agreement with the concept that evolution is not related to the amount of genes or putative proteins that could be secreted by an organism, but to the way these proteins are processed. These 'new' molecules may have related or increased properties when compared to the 'original' molecule or possess completely unrelated biological effects, thus increasing the array of biological roles that can be associated to one given protein (or gene). In this work, we review this recent concept and put it into the toxinology field as well, an area in which the diversity of functional molecules (and roles) is essential for the survival of a given organism.
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Affiliation(s)
- Daniel C Pimenta
- Laboratório de Bioquímica e Biofísica, Instituto Butantan, Avenida Vital Brazil 1500, São Paulo, SP 05503-900, Brazil.
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Tian R, Ye M, Hu L, Li X, Zou H. Selective extraction of peptides in acidic human plasma by porous silica nanoparticles for peptidome analysis with 2-D LC-MS/MS. J Sep Sci 2007; 30:2204-9. [PMID: 17683044 DOI: 10.1002/jssc.200700156] [Citation(s) in RCA: 32] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
In this study, an improved method for human plasma peptidome analysis including selective porous silica nanoparticles (MCM-41) extraction and subsequent online 2-D nano-LC-MS/MS analysis was established. Enhanced enrichment efficiency for the MCM-41 extraction was obtained by adjusting the pH of the plasma sample to 2.5. A total of 1680 unique peptides were identified in the plasma sample obtained from one healthy donor, which is nearly twice the amount identified from the native state of the plasma sample. The hydrophobic property, molecular weight (MW), and pI distribution of the identified peptides at pH 2.5 and native state of the plasma sample were systematically investigated and compared. Furthermore, many unusual cleaved peptides from plasma proteins (e. g., HSA) were observed at pH 2.5, which clearly show a ladder pattern. The cleavage patterns for all of the identified peptides at pH 2.5 were summarized, and chymosin and cathepsin D were confirmed as the possible peptidases responsible for the change of cleavage pattern in peptide profiling.
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Affiliation(s)
- Ruijun Tian
- National Chromatographic R&A Center, Dalian Institute of Chemical Physics, The Chinese Academy of Sciences, Dalian, China
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47
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Bodzon-Kulakowska A, Bierczynska-Krzysik A, Dylag T, Drabik A, Suder P, Noga M, Jarzebinska J, Silberring J. Methods for samples preparation in proteomic research. J Chromatogr B Analyt Technol Biomed Life Sci 2007; 849:1-31. [PMID: 17113834 DOI: 10.1016/j.jchromb.2006.10.040] [Citation(s) in RCA: 176] [Impact Index Per Article: 10.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2006] [Accepted: 10/23/2006] [Indexed: 01/04/2023]
Abstract
Sample preparation is one of the most crucial processes in proteomics research. The results of the experiment depend on the condition of the starting material. Therefore, the proper experimental model and careful sample preparation is vital to obtain significant and trustworthy results, particularly in comparative proteomics, where we are usually looking for minor differences between experimental-, and control samples. In this review we discuss problems associated with general strategies of samples preparation, and experimental demands for these processes.
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Affiliation(s)
- Anna Bodzon-Kulakowska
- Department of Neurobiochemistry, Faculty of Chemistry, Jagiellonian University, Ingardena St. 3, 30-060 Krakow, Poland
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Manes NP, Gustin JK, Rue J, Mottaz HM, Purvine SO, Norbeck AD, Monroe ME, Zimmer JSD, Metz TO, Adkins JN, Smith RD, Heffron F. Targeted protein degradation by Salmonella under phagosome-mimicking culture conditions investigated using comparative peptidomics. Mol Cell Proteomics 2007; 6:717-27. [PMID: 17228056 DOI: 10.1074/mcp.m600282-mcp200] [Citation(s) in RCA: 24] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022] Open
Abstract
The pathogen Salmonella enterica is known to cause both food poisoning and typhoid fever. Because of the emergence of antibiotic-resistant isolates and the threat of bioterrorism (e.g. contamination of the food supply), there is a growing need to study this bacterium. In this investigation, comparative peptidomics was used to study S. enterica serovar Typhimurium cultured in either a rich medium or in an acidic, low magnesium, and minimal nutrient medium designed to roughly mimic the macrophage phagosomal environment (within which Salmonella are known to survive). Native peptides from cleared cell lysates were enriched by using isopropanol extraction and analyzed by using both LC-MS/MS and LC-FTICR-MS. We identified and quantified 5,163 peptides originating from 682 proteins, and the data clearly indicated that compared with Salmonella cultured in the rich medium, cells cultured in the phagosome-mimicking medium had dramatically higher abundances of a wide variety of protein degradation products, especially from ribosomal proteins. Salmonella from the same cultures were also analyzed using traditional, bottom-up proteomic methods, and when the peptidomics and proteomics data were analyzed together, two clusters of proteins targeted for proteolysis were tentatively identified. Possible roles of targeted proteolysis by phagocytosed Salmonella are discussed.
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Affiliation(s)
- Nathan P Manes
- Fundamental Science Division, Pacific Northwest National Laboratory, Richland, Washington 99352, USA
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Amare A, Hummon AB, Southey B, Zimmerman TA, Rodriguez-Zas SL, Sweedler JV. Bridging neuropeptidomics and genomics with bioinformatics: Prediction of mammalian neuropeptide prohormone processing. J Proteome Res 2006; 5:1162-7. [PMID: 16674105 PMCID: PMC2548284 DOI: 10.1021/pr0504541] [Citation(s) in RCA: 44] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Neuropeptides are an important class of cell to cell signaling molecules that are difficult to predict from genetic information because of their large number of post-translational modifications. The transition from prohormone genetic sequence information to the determination of the biologically active neuropeptides requires the identification of the cleaved basic sites, among the many possible cleavage sites, that exist in the prohormone. We report a binary logistic regression model trained on mammalian prohormones that is more sensitive than existing methods in predicting these processing sites, and demonstrate the application of this method to mammalian neuropeptidomic studies. By comparing the predictive abilities of a binary logistic model trained on molluscan prohormone cleavages with the reported model, we establish the need for phyla-specific models.
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Affiliation(s)
- Andinet Amare
- Department of Chemistry, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801
| | - Amanda B. Hummon
- Department of Chemistry, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801
| | - Bruce Southey
- Department of Chemistry, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801
- Department of Animal Sciences, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801
| | - Tyler A. Zimmerman
- Department of Chemistry, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801
| | - Sandra L. Rodriguez-Zas
- Department of Animal Sciences, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801
| | - Jonathan V. Sweedler
- Department of Chemistry, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801
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