Deciphering the comprehensive knowledgebase landscape featuring infertility with IDDB Xtra
Copyright © 2024 Elsevier Ltd. All rights reserved..
Infertility affects ∼15% of couples globally and half of cases are related to genetic disorders. Despite growing data and unprecedented improvements in high-throughput sequencing technologies, accumulated fertility-related issues concerning genetic diagnosis and potential treatment are urgent to be solved. However, there is a lack of comprehensive platforms that characterise various infertility-related records to provide research applications for exploring infertility in-depth and genetic counselling of infertility couple. To solve this problem, we provide IDDB Xtra by further integrating phenotypic manifestations, genomic datasets, epigenetics, modulators in collaboration with numerous interactive tools into our previous infertility database, IDDB. IDDB Xtra houses manually-curated 2369 genes of human and nine model organisms, 273 chromosomal abnormalities, 884 phenotypes, 60 genomic datasets, 464 epigenetic records, 1144 modulators relevant to infertility diagnosis and treatment. Additionally, IDDB Xtra incorporated customized graphical applications for researchers and clinicians to decipher in-depth disease mechanisms from the perspectives of developmental atlas, mutation effects, and clinical manifestations. Users can browse genes across developmental stages of human and mouse, filter candidate genes, mine potential variants and retrieve infertility biomedical network in an intuitive web interface. In summary, IDDB Xtra not only captures valuable research and data, but also provides useful applications to facilitate the genetic counselling and drug discovery of infertility. IDDB Xtra is freely available at https://mdl.shsmu.edu.cn/IDDB/and http://www.allostery.net/IDDB.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2024 |
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| Erschienen: |
2024 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:170 |
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| Enthalten in: |
Computers in biology and medicine - 170(2024) vom: 01. Feb., Seite 108105 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Li, Qian [VerfasserIn] |
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| Links: |
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| Themen: |
Chromosome abnormalities |
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| Anmerkungen: |
Date Completed 28.02.2024 Date Revised 28.02.2024 published: Print-Electronic Citation Status MEDLINE |
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| doi: |
10.1016/j.compbiomed.2024.108105 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM368203077 |
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| 520 | |a Copyright © 2024 Elsevier Ltd. All rights reserved. | ||
| 520 | |a Infertility affects ∼15% of couples globally and half of cases are related to genetic disorders. Despite growing data and unprecedented improvements in high-throughput sequencing technologies, accumulated fertility-related issues concerning genetic diagnosis and potential treatment are urgent to be solved. However, there is a lack of comprehensive platforms that characterise various infertility-related records to provide research applications for exploring infertility in-depth and genetic counselling of infertility couple. To solve this problem, we provide IDDB Xtra by further integrating phenotypic manifestations, genomic datasets, epigenetics, modulators in collaboration with numerous interactive tools into our previous infertility database, IDDB. IDDB Xtra houses manually-curated 2369 genes of human and nine model organisms, 273 chromosomal abnormalities, 884 phenotypes, 60 genomic datasets, 464 epigenetic records, 1144 modulators relevant to infertility diagnosis and treatment. Additionally, IDDB Xtra incorporated customized graphical applications for researchers and clinicians to decipher in-depth disease mechanisms from the perspectives of developmental atlas, mutation effects, and clinical manifestations. Users can browse genes across developmental stages of human and mouse, filter candidate genes, mine potential variants and retrieve infertility biomedical network in an intuitive web interface. In summary, IDDB Xtra not only captures valuable research and data, but also provides useful applications to facilitate the genetic counselling and drug discovery of infertility. IDDB Xtra is freely available at https://mdl.shsmu.edu.cn/IDDB/and http://www.allostery.net/IDDB | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Chromosome abnormalities | |
| 650 | 4 | |a Epigenetics | |
| 650 | 4 | |a Genomics | |
| 650 | 4 | |a Infertility | |
| 650 | 4 | |a Infertility-caused genes | |
| 650 | 4 | |a Knowledge graph | |
| 650 | 4 | |a Modulators | |
| 650 | 4 | |a Mutations | |
| 650 | 4 | |a Phenotypes | |
| 650 | 4 | |a Research applications | |
| 700 | 1 | |a Hu, Zhijie |e verfasserin |4 aut | |
| 700 | 1 | |a He, Jiayin |e verfasserin |4 aut | |
| 700 | 1 | |a Liu, Xinyi |e verfasserin |4 aut | |
| 700 | 1 | |a Liu, Yini |e verfasserin |4 aut | |
| 700 | 1 | |a Wei, Jiale |e verfasserin |4 aut | |
| 700 | 1 | |a Wu, Binjian |e verfasserin |4 aut | |
| 700 | 1 | |a Lu, Xun |e verfasserin |4 aut | |
| 700 | 1 | |a He, Hongxi |e verfasserin |4 aut | |
| 700 | 1 | |a Zhang, Yuqi |e verfasserin |4 aut | |
| 700 | 1 | |a He, Jixiao |e verfasserin |4 aut | |
| 700 | 1 | |a Li, Mingyu |e verfasserin |4 aut | |
| 700 | 1 | |a Wu, Chengwei |e verfasserin |4 aut | |
| 700 | 1 | |a Lv, Lijun |e verfasserin |4 aut | |
| 700 | 1 | |a Wang, Yang |e verfasserin |4 aut | |
| 700 | 1 | |a Zhou, Linxuan |e verfasserin |4 aut | |
| 700 | 1 | |a Zhang, Quan |e verfasserin |4 aut | |
| 700 | 1 | |a Zhang, Jian |e verfasserin |4 aut | |
| 700 | 1 | |a Cheng, Xiaoyue |e verfasserin |4 aut | |
| 700 | 1 | |a Shao, Hongfang |e verfasserin |4 aut | |
| 700 | 1 | |a Lu, Xuefeng |e verfasserin |4 aut | |
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