B. Ayhan, S. Turan, N. Barkan, K. Dalva, M. Beksaç, D. Demiralp
{"title":"新诊断的多发性骨髓瘤患者骨髓浆细胞自下而上的蛋白质组学方法","authors":"B. Ayhan, S. Turan, N. Barkan, K. Dalva, M. Beksaç, D. Demiralp","doi":"10.2174/1570164617999201124142232","DOIUrl":null,"url":null,"abstract":"\n\n Multiple myeloma (MM) is characterized by infiltration of bone marrow (BM) with clonal malignant\nplasma cells. The percentage of plasma cells in the BM is required for both diagnosis and prognosis.\n\n\n\nIntracellular protein screening and quantitative proteomic analysis was performed in myeloma plasma cells with\nan aim to compare expressions between low (0-9%), intermediate (10-20%) and high (>20%) plasma cell infiltration groups.\n\n\n\nBM aspiration samples were collected from newly diagnosed untreated patients with MM. The samples\nwere pooled into three groups according to the plasma cell content (PCC) in the BM: group 1 (0-9%),\ngroup 2 (10-20%) and group 3 (>20%). Protein profiles were obtained and proteins were identified by peptide mass\nfingerprinting analysis.\n\n\n\n Differentially expressed proteins were detected between all groups. The identified proteins are Endoplasmin, Calreticulin,\nProtein Disulfide-isomerase, Marginal zone B and B1 cell specific protein/pERp1, Actin cytoplasmic 1, Myeloblastin,\nThioredoxin domain-containing protein 5, Ig kappa chain C region, Apoptosis regulator B-cell lymphoma 2 and Peroxiredoxin-\n4.\n\n\n\nProteins involved in cell proliferation, apoptosis, redox homeostasis and unfolded protein disposal through endoplasmic\nreticulum-associated degradation machinery has been found to be correlated to PCC. Our results confirm earlier\nreports in regards to the potential effects of identified proteins in the major signaling pathways that lead to cancer. Moreover,\nthis study reveals a novel association between PCC levels and MM. It further highlights the roles of Marginal zone B\nand B1 cell specific proteins in MM, which could be used as candidate biomarkers in future studies.\n","PeriodicalId":50601,"journal":{"name":"Current Proteomics","volume":"1 1","pages":""},"PeriodicalIF":0.5000,"publicationDate":"2020-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A bottom-up proteomic approach in bone marrow plasma cells of newly diagnosed multiple myeloma patients\",\"authors\":\"B. Ayhan, S. Turan, N. Barkan, K. Dalva, M. Beksaç, D. Demiralp\",\"doi\":\"10.2174/1570164617999201124142232\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\\n\\n Multiple myeloma (MM) is characterized by infiltration of bone marrow (BM) with clonal malignant\\nplasma cells. The percentage of plasma cells in the BM is required for both diagnosis and prognosis.\\n\\n\\n\\nIntracellular protein screening and quantitative proteomic analysis was performed in myeloma plasma cells with\\nan aim to compare expressions between low (0-9%), intermediate (10-20%) and high (>20%) plasma cell infiltration groups.\\n\\n\\n\\nBM aspiration samples were collected from newly diagnosed untreated patients with MM. The samples\\nwere pooled into three groups according to the plasma cell content (PCC) in the BM: group 1 (0-9%),\\ngroup 2 (10-20%) and group 3 (>20%). Protein profiles were obtained and proteins were identified by peptide mass\\nfingerprinting analysis.\\n\\n\\n\\n Differentially expressed proteins were detected between all groups. The identified proteins are Endoplasmin, Calreticulin,\\nProtein Disulfide-isomerase, Marginal zone B and B1 cell specific protein/pERp1, Actin cytoplasmic 1, Myeloblastin,\\nThioredoxin domain-containing protein 5, Ig kappa chain C region, Apoptosis regulator B-cell lymphoma 2 and Peroxiredoxin-\\n4.\\n\\n\\n\\nProteins involved in cell proliferation, apoptosis, redox homeostasis and unfolded protein disposal through endoplasmic\\nreticulum-associated degradation machinery has been found to be correlated to PCC. Our results confirm earlier\\nreports in regards to the potential effects of identified proteins in the major signaling pathways that lead to cancer. Moreover,\\nthis study reveals a novel association between PCC levels and MM. It further highlights the roles of Marginal zone B\\nand B1 cell specific proteins in MM, which could be used as candidate biomarkers in future studies.\\n\",\"PeriodicalId\":50601,\"journal\":{\"name\":\"Current Proteomics\",\"volume\":\"1 1\",\"pages\":\"\"},\"PeriodicalIF\":0.5000,\"publicationDate\":\"2020-11-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Current Proteomics\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://doi.org/10.2174/1570164617999201124142232\",\"RegionNum\":4,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"BIOCHEMICAL RESEARCH METHODS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current Proteomics","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.2174/1570164617999201124142232","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
A bottom-up proteomic approach in bone marrow plasma cells of newly diagnosed multiple myeloma patients
Multiple myeloma (MM) is characterized by infiltration of bone marrow (BM) with clonal malignant
plasma cells. The percentage of plasma cells in the BM is required for both diagnosis and prognosis.
Intracellular protein screening and quantitative proteomic analysis was performed in myeloma plasma cells with
an aim to compare expressions between low (0-9%), intermediate (10-20%) and high (>20%) plasma cell infiltration groups.
BM aspiration samples were collected from newly diagnosed untreated patients with MM. The samples
were pooled into three groups according to the plasma cell content (PCC) in the BM: group 1 (0-9%),
group 2 (10-20%) and group 3 (>20%). Protein profiles were obtained and proteins were identified by peptide mass
fingerprinting analysis.
Differentially expressed proteins were detected between all groups. The identified proteins are Endoplasmin, Calreticulin,
Protein Disulfide-isomerase, Marginal zone B and B1 cell specific protein/pERp1, Actin cytoplasmic 1, Myeloblastin,
Thioredoxin domain-containing protein 5, Ig kappa chain C region, Apoptosis regulator B-cell lymphoma 2 and Peroxiredoxin-
4.
Proteins involved in cell proliferation, apoptosis, redox homeostasis and unfolded protein disposal through endoplasmic
reticulum-associated degradation machinery has been found to be correlated to PCC. Our results confirm earlier
reports in regards to the potential effects of identified proteins in the major signaling pathways that lead to cancer. Moreover,
this study reveals a novel association between PCC levels and MM. It further highlights the roles of Marginal zone B
and B1 cell specific proteins in MM, which could be used as candidate biomarkers in future studies.
Current ProteomicsBIOCHEMICAL RESEARCH METHODS-BIOCHEMISTRY & MOLECULAR BIOLOGY
CiteScore
1.60
自引率
0.00%
发文量
25
审稿时长
>0 weeks
期刊介绍:
Research in the emerging field of proteomics is growing at an extremely rapid rate. The principal aim of Current Proteomics is to publish well-timed in-depth/mini review articles in this fast-expanding area on topics relevant and significant to the development of proteomics. Current Proteomics is an essential journal for everyone involved in proteomics and related fields in both academia and industry.
Current Proteomics publishes in-depth/mini review articles in all aspects of the fast-expanding field of proteomics. All areas of proteomics are covered together with the methodology, software, databases, technological advances and applications of proteomics, including functional proteomics. Diverse technologies covered include but are not limited to:
Protein separation and characterization techniques
2-D gel electrophoresis and image analysis
Techniques for protein expression profiling including mass spectrometry-based methods and algorithms for correlative database searching
Determination of co-translational and post- translational modification of proteins
Protein/peptide microarrays
Biomolecular interaction analysis
Analysis of protein complexes
Yeast two-hybrid projects
Protein-protein interaction (protein interactome) pathways and cell signaling networks
Systems biology
Proteome informatics (bioinformatics)
Knowledge integration and management tools
High-throughput protein structural studies (using mass spectrometry, nuclear magnetic resonance and X-ray crystallography)
High-throughput computational methods for protein 3-D structure as well as function determination
Robotics, nanotechnology, and microfluidics.