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Kai N, Qingsong C, Kejia M, Weiwei L, Xing W, Xuejie C, Lixia C, Minzi D, Yuanyuan Y, Xiaoyan W. An Inflammatory Bowel Diseases Integrated Resources Portal (IBDIRP). Database (Oxford) 2024; 2024:baad097. [PMID: 38227799 DOI: 10.1093/database/baad097] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2023] [Revised: 12/02/2023] [Accepted: 12/22/2023] [Indexed: 01/18/2024]
Abstract
IBD, including ulcerative colitis and Crohn's disease, is a chronic and debilitating gastrointestinal disorder that affects millions of people worldwide. Research on IBD has generated massive amounts of data, including literature, metagenomics, metabolomics, bioresources and databases. We aim to create an IBD Integrated Resources Portal (IBDIRP) that provides the most comprehensive resources for IBD. An integrated platform was developed that provides information on different aspects of IBD research resources, such as single-nucleotide polymorphisms (SNPs), genes, transcriptome, microbiota, metabolomics, single cells and other resources. Valuable and comprehensive IBD-related data were collected from PubMed, Google, GMrepo, gutMega, gutMDisorder, Single Cell Portal and other sources. Then, the data were systematically sorted, and these resources were manually curated. We systematically sorted and cataloged more than 320 unique risk SNPs associated with IBD in the SNP section. We presented over 289 IBD-related genes based on the database collection in the gene section. We also obtained 153 manually curated IBD transcriptomics data, including 12 388 samples, on the Gene Expression Omnibus database. The sorted IBD-related microbiota data from three primary microbiome databases (GMrepo, gutMega and gutMDisorder) were available for download. We selected 23 149 IBD-related taxonomic records from these databases. Additionally, we collected 24 IBD metabolomics studies with 2896 participants in the metabolomics section. We introduced two interactive single-cell data plug-in units that provided data visualization based on cells and genes. Finally, we listed 18 significant IBD web resources, such as the official European Crohn's and Colitis Organisation and International Organization for the Study of IBD websites, IBD scoring tools, IBD genetic and multi-omics resources, IBD biobanks and other useful research resources. The IBDIRP website is the first integrated resource for global IBD researchers. This portal will help researchers by providing comprehensive knowledge and enabling them to reinforce the multidimensional impression of IBD. The IBDIRP website is accessible via www.ibdirp.com Database URL: www.ibdirp.com.
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Affiliation(s)
- Nie Kai
- Department of Gastroenterology, The Third Xiangya Hospital of Central South University, Changsha Hunan 410000, China
- Hunan Key Laboratory of Nonresolving Inflammation and Cancer, Changsha Hunan 410000, China
| | | | - Ma Kejia
- Department of Gastroenterology, The Third Xiangya Hospital of Central South University, Changsha Hunan 410000, China
- Hunan Key Laboratory of Nonresolving Inflammation and Cancer, Changsha Hunan 410000, China
| | - Luo Weiwei
- Department of Gastroenterology, The Third Xiangya Hospital of Central South University, Changsha Hunan 410000, China
- Hunan Key Laboratory of Nonresolving Inflammation and Cancer, Changsha Hunan 410000, China
| | - Wu Xing
- Department of Gastroenterology, The Third Xiangya Hospital of Central South University, Changsha Hunan 410000, China
- Hunan Key Laboratory of Nonresolving Inflammation and Cancer, Changsha Hunan 410000, China
| | - Chen Xuejie
- Department of Gastroenterology, The Third Xiangya Hospital of Central South University, Changsha Hunan 410000, China
- Hunan Key Laboratory of Nonresolving Inflammation and Cancer, Changsha Hunan 410000, China
| | - Cai Lixia
- Changsha Hospital for Maternal and Child Health Care Affiliated to Hunan Normal University Changsha Hunan 410000, China
| | - Deng Minzi
- Department of Gastroenterology, The Third Xiangya Hospital of Central South University, Changsha Hunan 410000, China
- Hunan Key Laboratory of Nonresolving Inflammation and Cancer, Changsha Hunan 410000, China
| | - Yang Yuanyuan
- Department of Gastroenterology, The Third Xiangya Hospital of Central South University, Changsha Hunan 410000, China
- Hunan Key Laboratory of Nonresolving Inflammation and Cancer, Changsha Hunan 410000, China
| | - Wang Xiaoyan
- Department of Gastroenterology, The Third Xiangya Hospital of Central South University, Changsha Hunan 410000, China
- Hunan Key Laboratory of Nonresolving Inflammation and Cancer, Changsha Hunan 410000, China
- The College of Computer Science in Sichuan University, Chengdu Sichuan 610000, China
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Bagnara GP, Castaldini C, Minzi D, Brunelli MA. [The distribution of peroxidase-positive granuloblastic precursors of normal human bone marrow separated in discontinuous albumin gradient density]. Boll Soc Ital Biol Sper 1980; 56:56-61. [PMID: 7437141] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Abstract
Human normal marrow cells from 5 donors have been separated via discontinuous density gradient according to the Dicke's technique and the morphology of granulocytic cells recovered from density fractions has been examined; peroxidase negative myeloblasts are concentrated in low density fractions (specific density below 1.063), while granulated myeloblasts (peroxidase positive) are concentrated at densities ranging between 1.063 and 1.073; promyelocytes and myelocytes have been observed in all fractions although their maximal concentration is at density 1.073; metamyelocytes and polymorphonucleated cells are concentrated in the highest density fraction (density 1.078); some differentiated cells which are peroxidase negative have been observed; they concentrate at a density lower than that of peroxidase positive cells which look morphologically identical.
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