{"title":"全球生物库的地理分布。","authors":"Farzad Parvizpour, Sarvenaz Salahi, Mohammad Amin Mahmanzar, Karim Rahimian, Neda Esfandiari, Zahra Fatahi, Niousha Khoshdast, Reyhaneh Yarmohammadi, Mohamad Amir Amirkhani, Arefeh Jafarian","doi":"10.22074/cellj.2024.2024380.1525","DOIUrl":null,"url":null,"abstract":"<p><p>This study aimed to comprehensively review the global biobanks to visualize their geographical distribution. The protocol for this review consisted of the following steps: i. Developing a search strategy to identify biobanks from each continent, ii. Defining variables (such as tissue-based, cell-based, and gene-based biobanks) and organizing them in Excel sheets for data collection, iii. Collecting data, iv. Removing duplicate and invalid entries, v. Structuring the database, and vi. Analyzing the data. MATLAB software was utilized for data analysis and chart plotting. Data on global biobanks aimed to collected through targeted searches of databases, publications, and registries using predefined variables such as biobank type, location, and accessibility. The data were organized, cleaned to remove duplicates, and analyzed using MATLAB to visualize geographical distribution and prevalence patterns. Tissue and cell-based, tissue-based, and cellbased biobanks were the most common type of global biobanks with a prevalence of 30.4, 27.93, and 25.15%. United Kingdom (n=78, P=43.09%), Canada (n=43, P=23.75%), and the United States (n=33, P=18.23%) were the countries with a higher frequency of tissue-based biobanks (domain frequency: 1-78; 0.55-43.09%). However, tissue and genebased biobanks had the most minor frequency and were only in two countries of Spain (n=1, P=25%) and the United Kingdom (n=3, P=75%). The results of this study indicate that the feasibility of designing and conducting biobanks varies by type. Tissue and cell-based biobanks were found to be more prevalent, followed by tissue-based, cell-based, cell and gene-based, tissue, cell, and gene-based, gene-based, and finally, tissue and gene-based biobanks. This study represents the initial step in creating a global database by identifying all types of biobanks worldwide.</p>","PeriodicalId":49224,"journal":{"name":"Cell Journal","volume":"26 9","pages":"523-529"},"PeriodicalIF":1.7000,"publicationDate":"2025-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Geographical Distribution of Global Biobanks.\",\"authors\":\"Farzad Parvizpour, Sarvenaz Salahi, Mohammad Amin Mahmanzar, Karim Rahimian, Neda Esfandiari, Zahra Fatahi, Niousha Khoshdast, Reyhaneh Yarmohammadi, Mohamad Amir Amirkhani, Arefeh Jafarian\",\"doi\":\"10.22074/cellj.2024.2024380.1525\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>This study aimed to comprehensively review the global biobanks to visualize their geographical distribution. The protocol for this review consisted of the following steps: i. Developing a search strategy to identify biobanks from each continent, ii. Defining variables (such as tissue-based, cell-based, and gene-based biobanks) and organizing them in Excel sheets for data collection, iii. Collecting data, iv. Removing duplicate and invalid entries, v. Structuring the database, and vi. Analyzing the data. MATLAB software was utilized for data analysis and chart plotting. Data on global biobanks aimed to collected through targeted searches of databases, publications, and registries using predefined variables such as biobank type, location, and accessibility. The data were organized, cleaned to remove duplicates, and analyzed using MATLAB to visualize geographical distribution and prevalence patterns. Tissue and cell-based, tissue-based, and cellbased biobanks were the most common type of global biobanks with a prevalence of 30.4, 27.93, and 25.15%. United Kingdom (n=78, P=43.09%), Canada (n=43, P=23.75%), and the United States (n=33, P=18.23%) were the countries with a higher frequency of tissue-based biobanks (domain frequency: 1-78; 0.55-43.09%). However, tissue and genebased biobanks had the most minor frequency and were only in two countries of Spain (n=1, P=25%) and the United Kingdom (n=3, P=75%). The results of this study indicate that the feasibility of designing and conducting biobanks varies by type. Tissue and cell-based biobanks were found to be more prevalent, followed by tissue-based, cell-based, cell and gene-based, tissue, cell, and gene-based, gene-based, and finally, tissue and gene-based biobanks. This study represents the initial step in creating a global database by identifying all types of biobanks worldwide.</p>\",\"PeriodicalId\":49224,\"journal\":{\"name\":\"Cell Journal\",\"volume\":\"26 9\",\"pages\":\"523-529\"},\"PeriodicalIF\":1.7000,\"publicationDate\":\"2025-01-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Cell Journal\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://doi.org/10.22074/cellj.2024.2024380.1525\",\"RegionNum\":4,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"CELL BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cell Journal","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.22074/cellj.2024.2024380.1525","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"CELL BIOLOGY","Score":null,"Total":0}
This study aimed to comprehensively review the global biobanks to visualize their geographical distribution. The protocol for this review consisted of the following steps: i. Developing a search strategy to identify biobanks from each continent, ii. Defining variables (such as tissue-based, cell-based, and gene-based biobanks) and organizing them in Excel sheets for data collection, iii. Collecting data, iv. Removing duplicate and invalid entries, v. Structuring the database, and vi. Analyzing the data. MATLAB software was utilized for data analysis and chart plotting. Data on global biobanks aimed to collected through targeted searches of databases, publications, and registries using predefined variables such as biobank type, location, and accessibility. The data were organized, cleaned to remove duplicates, and analyzed using MATLAB to visualize geographical distribution and prevalence patterns. Tissue and cell-based, tissue-based, and cellbased biobanks were the most common type of global biobanks with a prevalence of 30.4, 27.93, and 25.15%. United Kingdom (n=78, P=43.09%), Canada (n=43, P=23.75%), and the United States (n=33, P=18.23%) were the countries with a higher frequency of tissue-based biobanks (domain frequency: 1-78; 0.55-43.09%). However, tissue and genebased biobanks had the most minor frequency and were only in two countries of Spain (n=1, P=25%) and the United Kingdom (n=3, P=75%). The results of this study indicate that the feasibility of designing and conducting biobanks varies by type. Tissue and cell-based biobanks were found to be more prevalent, followed by tissue-based, cell-based, cell and gene-based, tissue, cell, and gene-based, gene-based, and finally, tissue and gene-based biobanks. This study represents the initial step in creating a global database by identifying all types of biobanks worldwide.
期刊介绍:
The “Cell Journal (Yakhteh)“, formerly published as “Yakhteh Medical Journal”, is a quarterly English publication of Royan Institute. This journal focuses on topics relevant to cellular and molecular scientific areas, besides other related fields. The Cell J has been certified by Ministry of Culture and Islamic Guidance in 1999 and was accredited as a scientific and research journal by HBI (Health and Biomedical Information) Journal Accreditation Commission in 2000 which is an open access journal.