Cargando…

ESOMIR: a curated database of biomarker genes and miRNAs associated with esophageal cancer

‘Esophageal cancer’ (EC) is a highly aggressive and deadly complex disease. It comprises two types, esophageal adenocarcinoma (EAC) and esophageal squamous cell carcinoma (ESCC), with Barrett’s esophagus (BE) being the only known precursor. Recent research has revealed that microRNAs (miRNAs) play a...

Descripción completa

Detalles Bibliográficos
Autores principales: Sindhoo, Asma, Sipy, Saima, Khan, Abbas, Selvaraj, Gurudeeban, Alshammari, Abdulrahman, Casida, Mark Earl, Wei, Dong-Qing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10563827/
https://www.ncbi.nlm.nih.gov/pubmed/37815872
http://dx.doi.org/10.1093/database/baad063
_version_ 1785118417783619584
author Sindhoo, Asma
Sipy, Saima
Khan, Abbas
Selvaraj, Gurudeeban
Alshammari, Abdulrahman
Casida, Mark Earl
Wei, Dong-Qing
author_facet Sindhoo, Asma
Sipy, Saima
Khan, Abbas
Selvaraj, Gurudeeban
Alshammari, Abdulrahman
Casida, Mark Earl
Wei, Dong-Qing
author_sort Sindhoo, Asma
collection PubMed
description ‘Esophageal cancer’ (EC) is a highly aggressive and deadly complex disease. It comprises two types, esophageal adenocarcinoma (EAC) and esophageal squamous cell carcinoma (ESCC), with Barrett’s esophagus (BE) being the only known precursor. Recent research has revealed that microRNAs (miRNAs) play a crucial role in the development, prognosis and treatment of EC and are involved in various human diseases. Biological databases have become essential for cancer research as they provide information on genes, proteins, pathways and their interactions. These databases collect, store and manage large amounts of molecular data, which can be used to identify patterns, predict outcomes and generate hypotheses. However, no comprehensive database exists for EC and miRNA relationships. To address this gap, we developed a dynamic database named ‘ESOMIR (miRNA in esophageal cancer) (https://esomir.dqweilab-sjtu.com)’, which includes information about targeted genes and miRNAs associated with EC. The database uses analysis and prediction methods, including experimentally endorsed miRNA(s) information. ESOMIR is a user-friendly interface that allows easy access to EC-associated data by searching for miRNAs, target genes, sequences, chromosomal positions and associated signaling pathways. The search modules are designed to provide specific data access to users based on their requirements. Additionally, the database provides information about network interactions, signaling pathways and region information of chromosomes associated with the 3ʹuntranslated region (3ʹUTR) or 5ʹUTR and exon sites. Users can also access energy levels of specific miRNAs with targeted genes. A fuzzy term search is included in each module to enhance the ease of use for researchers. ESOMIR can be a valuable tool for researchers and clinicians to gain insight into EC, including identifying biomarkers and treatments for this aggressive tumor. Database URL https://esomir.dqweilab-sjtu.com
format Online
Article
Text
id pubmed-10563827
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Oxford University Press
record_format MEDLINE/PubMed
spelling pubmed-105638272023-10-11 ESOMIR: a curated database of biomarker genes and miRNAs associated with esophageal cancer Sindhoo, Asma Sipy, Saima Khan, Abbas Selvaraj, Gurudeeban Alshammari, Abdulrahman Casida, Mark Earl Wei, Dong-Qing Database (Oxford) Database Tool ‘Esophageal cancer’ (EC) is a highly aggressive and deadly complex disease. It comprises two types, esophageal adenocarcinoma (EAC) and esophageal squamous cell carcinoma (ESCC), with Barrett’s esophagus (BE) being the only known precursor. Recent research has revealed that microRNAs (miRNAs) play a crucial role in the development, prognosis and treatment of EC and are involved in various human diseases. Biological databases have become essential for cancer research as they provide information on genes, proteins, pathways and their interactions. These databases collect, store and manage large amounts of molecular data, which can be used to identify patterns, predict outcomes and generate hypotheses. However, no comprehensive database exists for EC and miRNA relationships. To address this gap, we developed a dynamic database named ‘ESOMIR (miRNA in esophageal cancer) (https://esomir.dqweilab-sjtu.com)’, which includes information about targeted genes and miRNAs associated with EC. The database uses analysis and prediction methods, including experimentally endorsed miRNA(s) information. ESOMIR is a user-friendly interface that allows easy access to EC-associated data by searching for miRNAs, target genes, sequences, chromosomal positions and associated signaling pathways. The search modules are designed to provide specific data access to users based on their requirements. Additionally, the database provides information about network interactions, signaling pathways and region information of chromosomes associated with the 3ʹuntranslated region (3ʹUTR) or 5ʹUTR and exon sites. Users can also access energy levels of specific miRNAs with targeted genes. A fuzzy term search is included in each module to enhance the ease of use for researchers. ESOMIR can be a valuable tool for researchers and clinicians to gain insight into EC, including identifying biomarkers and treatments for this aggressive tumor. Database URL https://esomir.dqweilab-sjtu.com Oxford University Press 2023-10-10 /pmc/articles/PMC10563827/ /pubmed/37815872 http://dx.doi.org/10.1093/database/baad063 Text en © The Author(s) 2023. Published by Oxford University Press. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Database Tool
Sindhoo, Asma
Sipy, Saima
Khan, Abbas
Selvaraj, Gurudeeban
Alshammari, Abdulrahman
Casida, Mark Earl
Wei, Dong-Qing
ESOMIR: a curated database of biomarker genes and miRNAs associated with esophageal cancer
title ESOMIR: a curated database of biomarker genes and miRNAs associated with esophageal cancer
title_full ESOMIR: a curated database of biomarker genes and miRNAs associated with esophageal cancer
title_fullStr ESOMIR: a curated database of biomarker genes and miRNAs associated with esophageal cancer
title_full_unstemmed ESOMIR: a curated database of biomarker genes and miRNAs associated with esophageal cancer
title_short ESOMIR: a curated database of biomarker genes and miRNAs associated with esophageal cancer
title_sort esomir: a curated database of biomarker genes and mirnas associated with esophageal cancer
topic Database Tool
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10563827/
https://www.ncbi.nlm.nih.gov/pubmed/37815872
http://dx.doi.org/10.1093/database/baad063
work_keys_str_mv AT sindhooasma esomiracurateddatabaseofbiomarkergenesandmirnasassociatedwithesophagealcancer
AT sipysaima esomiracurateddatabaseofbiomarkergenesandmirnasassociatedwithesophagealcancer
AT khanabbas esomiracurateddatabaseofbiomarkergenesandmirnasassociatedwithesophagealcancer
AT selvarajgurudeeban esomiracurateddatabaseofbiomarkergenesandmirnasassociatedwithesophagealcancer
AT alshammariabdulrahman esomiracurateddatabaseofbiomarkergenesandmirnasassociatedwithesophagealcancer
AT casidamarkearl esomiracurateddatabaseofbiomarkergenesandmirnasassociatedwithesophagealcancer
AT weidongqing esomiracurateddatabaseofbiomarkergenesandmirnasassociatedwithesophagealcancer