The Geographical Distribution of Global Biobanks
This study aimed to comprehensively review the global biobanks to visualize their geographical distribution. The protocolfor 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...
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| Format: | Article |
| Language: | English |
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Royan Institute (ACECR), Tehran
2024-09-01
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| Series: | Cell Journal |
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| Online Access: | https://www.celljournal.org/article_719748_6f70c22d1acb188512b8e8451923f61a.pdf |
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| author | Farzad Parvizpour Sarvenaz Salahi Mohammad Amin Mahmanzar Karim Rahimian Neda Esfandiari Zahra Fatahi Niousha Khoshdast Reyhaneh Yarmohammadi Mohamad Amir Amirkhani Arefeh Jafarian |
| author_facet | Farzad Parvizpour Sarvenaz Salahi Mohammad Amin Mahmanzar Karim Rahimian Neda Esfandiari Zahra Fatahi Niousha Khoshdast Reyhaneh Yarmohammadi Mohamad Amir Amirkhani Arefeh Jafarian |
| author_sort | Farzad Parvizpour |
| collection | DOAJ |
| description | This study aimed to comprehensively review the global biobanks to visualize their geographical distribution. The protocolfor 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 sheetsfor 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 aimedto collected through targeted searches of databases, publications, and registries using predefined variables such asbiobank type, location, and accessibility. The data were organized, cleaned to remove duplicates, and analyzed usingMATLAB to visualize geographical distribution and prevalence patterns. Tissue and cell-based, tissue-based, and cellbasedbiobanks were the most common type of global biobanks with a prevalence of 30.4, 27.93, and 25.15%. UnitedKingdom (n=78, P=43.09%), Canada (n=43, P=23.75%), and the United States (n=33, P=18.23%) were the countrieswith a higher frequency of tissue-based biobanks (domain frequency: 1-78; 0.55-43.09%). However, tissue and genebasedbiobanks had the most minor frequency and were only in two countries of Spain (n=1, P=25%) and the UnitedKingdom (n=3, P=75%). The results of this study indicate that the feasibility of designing and conducting biobanksvaries 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. Thisstudy represents the initial step in creating a global database by identifying all types of biobanks worldwide. |
| format | Article |
| id | doaj-art-32a40b8f361141ceac78feda614e3f0c |
| institution | Kabale University |
| issn | 2228-5806 2228-5814 |
| language | English |
| publishDate | 2024-09-01 |
| publisher | Royan Institute (ACECR), Tehran |
| record_format | Article |
| series | Cell Journal |
| spelling | doaj-art-32a40b8f361141ceac78feda614e3f0c2025-01-19T09:34:57ZengRoyan Institute (ACECR), TehranCell Journal2228-58062228-58142024-09-0126952352910.22074/cellj.2024.2024380.1525719748The Geographical Distribution of Global BiobanksFarzad Parvizpour0Sarvenaz Salahi1Mohammad Amin Mahmanzar2Karim Rahimian3Neda Esfandiari4Zahra Fatahi5Niousha Khoshdast6Reyhaneh Yarmohammadi7Mohamad Amir Amirkhani8Arefeh Jafarian9Department of Molecular Medicine, Medicine Faculty, Kurdistan University of Medical Sciences, Sanandaj, IranDepartment of Stem Cells and Developmental Biology, Cell Science Research Center, Royan Institute for Stem cell Biology and Technology, ACECR, Tehran, IranDepartment of Bioinformatics, Kish International Campus University of Tehran, Kish, IranInstitute of Biochemistry and Biophysics (IBB), University of Tehran, Tehran, IranFaculty of Life Sciences and Biotechnology, Shahid Beheshti University, Tehran, IranFaculty of Health and Society, Department of Biomedical Science, Malmِ University, Biofilm Research Center for Biointerfaces, Malmِ, SwedenFaculty of Life Sciences and Biotechnology, Shahid Beheshti University, Tehran, IranCarolina University, Winston-Salem, NC, USASkin and Stem Cell Research Center, Tehran University of Medical Sciences, Tehran, IranResearch Center for War-Affected People, Tehran University of Medical Sciences, Tehran, IranThis study aimed to comprehensively review the global biobanks to visualize their geographical distribution. The protocolfor 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 sheetsfor 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 aimedto collected through targeted searches of databases, publications, and registries using predefined variables such asbiobank type, location, and accessibility. The data were organized, cleaned to remove duplicates, and analyzed usingMATLAB to visualize geographical distribution and prevalence patterns. Tissue and cell-based, tissue-based, and cellbasedbiobanks were the most common type of global biobanks with a prevalence of 30.4, 27.93, and 25.15%. UnitedKingdom (n=78, P=43.09%), Canada (n=43, P=23.75%), and the United States (n=33, P=18.23%) were the countrieswith a higher frequency of tissue-based biobanks (domain frequency: 1-78; 0.55-43.09%). However, tissue and genebasedbiobanks had the most minor frequency and were only in two countries of Spain (n=1, P=25%) and the UnitedKingdom (n=3, P=75%). The results of this study indicate that the feasibility of designing and conducting biobanksvaries 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. Thisstudy represents the initial step in creating a global database by identifying all types of biobanks worldwide.https://www.celljournal.org/article_719748_6f70c22d1acb188512b8e8451923f61a.pdfbiobankcellgeneprevalencetissue |
| spellingShingle | Farzad Parvizpour Sarvenaz Salahi Mohammad Amin Mahmanzar Karim Rahimian Neda Esfandiari Zahra Fatahi Niousha Khoshdast Reyhaneh Yarmohammadi Mohamad Amir Amirkhani Arefeh Jafarian The Geographical Distribution of Global Biobanks Cell Journal biobank cell gene prevalence tissue |
| title | The Geographical Distribution of Global Biobanks |
| title_full | The Geographical Distribution of Global Biobanks |
| title_fullStr | The Geographical Distribution of Global Biobanks |
| title_full_unstemmed | The Geographical Distribution of Global Biobanks |
| title_short | The Geographical Distribution of Global Biobanks |
| title_sort | geographical distribution of global biobanks |
| topic | biobank cell gene prevalence tissue |
| url | https://www.celljournal.org/article_719748_6f70c22d1acb188512b8e8451923f61a.pdf |
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