1
|
Comparative Evaluation of Reproducibility of Phage-Displayed Peptide Selections and NGS Data, through High-Fidelity Mapping of Massive Peptide Repertoires. Int J Mol Sci 2023; 24:ijms24021594. [PMID: 36675109 PMCID: PMC9862337 DOI: 10.3390/ijms24021594] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Revised: 01/08/2023] [Accepted: 01/08/2023] [Indexed: 01/14/2023] Open
Abstract
Phage-displayed peptide selections generate complex repertoires of several hundred thousand peptides as revealed by next-generation sequencing (NGS). In repeated peptide selections, however, even in identical experimental in vitro conditions, only a very small number of common peptides are found. The repertoire complexities are evidence of the difficulty of distinguishing between effective selections of specific peptide binders to exposed targets and the potential high background noise. Such investigation is even more relevant when considering the plethora of in vivo expressed targets on cells, in organs or in the entire organism to define targeting peptide agents. In the present study, we compare the published NGS data of three peptide repertoires that were obtained by phage display under identical experimental in vitro conditions. By applying the recently developed tool PepSimili we evaluate the calculated similarities of the individual peptides from each of these three repertoires and perform their mappings on the human proteome. The peptide-to-peptide mappings reveal high similarities among the three repertoires, confirming the desired reproducibility of phage-displayed peptide selections.
Collapse
|
2
|
TMT-based quantitative proteomics analysis and potential serum protein biomarkers for systemic lupus erythematosus. Clin Chim Acta 2022; 534:43-49. [PMID: 35810799 DOI: 10.1016/j.cca.2022.06.031] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2022] [Revised: 06/22/2022] [Accepted: 06/30/2022] [Indexed: 01/18/2023]
Abstract
Systemic lupus erythematosus (SLE) was not only a typical systemic autoimmune disease, but also one of the most challenging heterogeneous diseases for physicians. Currently, the pathogenesis of SLE was unclear, and there were no accurate, universal or easy-to-use diagnostic criteria for assessing SLE activity and predicting SLE severity. Proteins were direct effectors of biological mechanisms, and were closer to clinical phenotypes than the other discovered biomarkers. Moreover, proteins were widely used as biomarkers for clinical diagnosis and mechanism research of many diseases. Herein, we compared the proteins profiles of healthy individuals (HCs) and SLE patients to reveal the pathogenesis and provide evidence for diagnosis and management of persons with SLE. Serum samples were collected from 28 SLE patients and 30 HCs. Tandem mass tag (TMT)-based quantitative proteomics method was used to identify, screen and detect differentially expressed proteins (DEPs) in the collected serum samples. A total of 744 proteins were identified, and 84 of them were considered as DEPs with 71 upregulated and 13 downregulated. Bioinformatics analysis suggested that these DEPs were mainly involved in many biological processes, including immune response, signal transduction, inflammatory response, proteolysis, innate immune response and apoptosis, which were closely related to the pathogenesis of SLE. After comprehensive analysis, serum amyloid A1 (SAA1) and endothelin (CD248) were identified as specific biomarkers for the diagnosis of SLE, and were confirmed by subsequent enzyme-linked immunosorbent assays (ELISA), indicating a high reliability of TMT-based quantitative proteomics results. Areas under the ROC curve (AUC) results confirmed that SAA1 and CD248 combination as early immune diagnosis biomarkers of SLE presented excellent sensitivity and specificity.
Collapse
|
3
|
Wang Y, Zhang G, Zhong L, Qian M, Wang M, Cui R. Filamentous bacteriophages, natural nanoparticles, for viral vaccine strategies. NANOSCALE 2022; 14:5942-5959. [PMID: 35389413 DOI: 10.1039/d1nr08064d] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Filamentous bacteriophages are natural nanoparticles formed by the self-assembly of structural proteins that have the capability of replication and infection. They are used as a highly efficient vaccine platform to enhance immunogenicity and effectively stimulate the innate and adaptive immune response. Compared with traditional vaccines, phage-based vaccines offer thermodynamic stability, biocompatibility, homogeneity, high carrying capacity, self-assembly, scalability, and low toxicity. This review summarizes recent research on phage-based vaccines in virus prevention. In addition, the expression systems of filamentous phage-based virus vaccines and their application principles are discussed. Moreover, the prospect of the prevention of emerging infectious diseases, such as coronavirus 2019 (COVID-19), is also discussed.
Collapse
Affiliation(s)
- Yicun Wang
- Jilin Provincial Key Laboratory on Molecular and Chemical Genetic, The Second Hospital of Jilin University, Changchun 130024, China.
| | - Guangxin Zhang
- Department of Thoracic Surgery, The Second Hospital of Jilin University, Changchun 130024, China
| | - Lili Zhong
- Jilin Provincial Key Laboratory on Molecular and Chemical Genetic, The Second Hospital of Jilin University, Changchun 130024, China.
| | - Min Qian
- Department of Neonatology, The Second Hospital of Jilin University, Changchun 130024, China
| | - Meng Wang
- Department of Respiratory Medical Oncology, Harbin Medical University Cancer Hospital, China
| | - Ranji Cui
- Jilin Provincial Key Laboratory on Molecular and Chemical Genetic, The Second Hospital of Jilin University, Changchun 130024, China.
| |
Collapse
|
4
|
Soluri MF, Puccio S, Caredda G, Edomi P, D’Elios MM, Cianchi F, Troilo A, Santoro C, Sblattero D, Peano C. Defining the Helicobacter pylori Disease-Specific Antigenic Repertoire. Front Microbiol 2020; 11:1551. [PMID: 32849324 PMCID: PMC7396715 DOI: 10.3389/fmicb.2020.01551] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2020] [Accepted: 06/16/2020] [Indexed: 12/19/2022] Open
Abstract
The analysis of the interaction between Helicobacter pylori (HP) and the host in vivo is an extremely informative way to enlighten the molecular mechanisms behind the persistency/latency of the bacterium as well as in the progression of the infection. An important source of information is represented by circulating antibodies targeting the bacteria that define a specific "disease signature" with prospective diagnostic implications. The diagnosis of some of the HP induced diseases such as gastric cancer (GC), MALT lymphoma (MALT), and autoimmune gastritis (AIG) is not easy because patients do not show symptoms of illness in early-onset stages, at the same time they progress rapidly. The possibility of identifying markers able to provide an early diagnosis would be extremely beneficial since a late diagnosis results in a delay in undergoing active therapy and reduces the survival rate of patients. With the aim to identify the HP antigens recognized during the host immune-response to the infection and possibly disease progression, we applied a discovery-driven approach, that combines "phage display" and deep sequencing. The procedure is based on the selection of ORF phage libraries, specifically generated from the pathogen's genome, with sera antibodies from patients with different HP-related diseases. To this end two phage display libraries have been constructed starting from genomic DNA from the reference HP 26695 and the pathogenic HP B128 strains; libraries were filtered for ORFs by using an ORF selection vector developed by our group (Di Niro et al., 2005; Soluri et al., 2018), selected with antibodies from patients affected by GC, MALT, and AIG and putative HP antigens/epitopes were identified after Sequencing and ranking. The results show that individual selection significantly reduced the library diversity and comparison of individual ranks for each condition allowed us to highlight a pattern of putative antigens specific for the different pathological outcomes or common for all of them. Within the putative antigens enriched after selection, we have validated protein CagY/Cag7 by ELISA assay as a marker of HP infection and progression. Overall, we have defined HP antigenic repertoire and identified a panel of putative specific antigens/epitopes for three different HP infection pathological outcomes that could be validated in the next future.
Collapse
Affiliation(s)
- Maria Felicia Soluri
- Department of Health Sciences & IRCAD, Università del Piemonte Orientale, Novara, Italy
- Center for Translational Research on Autoimmune and Allergic Disease, Università del Piemonte Orientale, Novara, Italy
| | - Simone Puccio
- Laboratory of Translational Immunology, IRCCS, Humanitas Clinical and Research Center, Rozzano, Italy
| | - Giada Caredda
- Department of Excellence in Pharmacological and Biomolecular Sciences, University of Milan, Milan, Italy
| | - Paolo Edomi
- Department of Life Sciences, University of Trieste, Trieste, Italy
| | - Mario Milco D’Elios
- Department of Experimental and Clinical Medicine, School of Human Health Sciences, University of Florence, Florence, Italy
| | - Fabio Cianchi
- Department of Experimental and Clinical Medicine, School of Human Health Sciences, University of Florence, Florence, Italy
| | - Arianna Troilo
- Department of Experimental and Clinical Medicine, School of Human Health Sciences, University of Florence, Florence, Italy
| | - Claudio Santoro
- Department of Health Sciences & IRCAD, Università del Piemonte Orientale, Novara, Italy
- Center for Translational Research on Autoimmune and Allergic Disease, Università del Piemonte Orientale, Novara, Italy
| | | | - Clelia Peano
- Institute of Genetic and Biomedical Research, UoS Milan, National Research Council, Milan, Italy
- Genomic Unit, IRCCS, Humanitas Clinical and Research Center, Milan, Italy
| |
Collapse
|