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BCSCdb: a database of biomarkers of cancer stem cells

Cancer stem cells (CSCs) are a small heterogeneous population present within the tumor cells exhibiting self-renewal properties. CSCs have been demonstrated to elicit an important role in cancer recurrence, metastasis and drug resistance. CSCs are distinguished from cancer cell populations based on...

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Detalles Bibliográficos
Autores principales: Firdous, Shazia, Ghosh, Abhirupa, Saha, Sudipto
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9517164/
https://www.ncbi.nlm.nih.gov/pubmed/36169329
http://dx.doi.org/10.1093/database/baac082
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author Firdous, Shazia
Ghosh, Abhirupa
Saha, Sudipto
author_facet Firdous, Shazia
Ghosh, Abhirupa
Saha, Sudipto
author_sort Firdous, Shazia
collection PubMed
description Cancer stem cells (CSCs) are a small heterogeneous population present within the tumor cells exhibiting self-renewal properties. CSCs have been demonstrated to elicit an important role in cancer recurrence, metastasis and drug resistance. CSCs are distinguished from cancer cell populations based on their molecular profiling or expression of distinct CSC biomarker(s). Recently, a huge amount of omics data have been generated for the characterization of CSCs, which enables distinguishing CSCs in different cancers. Here, we report biomarkers of the Cancer Stem Cells database (BCSCdb), a repository of information about CSC biomarkers. BCSCdb comprises CSC biomarkers collected from PubMed literature where these are identified using high-throughput and low-throughput methods. Each biomarker is provided with two different scores: the first is a confidence score to give confidence to reported CSC biomarkers based on the experimental method of detection in CSCs. The second is the global score to identify the global CSC biomarkers across 10 different types of cancer. This database contains three tables containing information about experimentally validated CSC biomarkers or genes, therapeutic target genes of CSCs and CSC biomarkers interactions. It contains information on three types of markers: high-throughput marker (HTM-8307), high-throughput marker validated by the low-throughput method (283) and low-throughput marker (LTM-525). A total of 171 low-throughput biomarkers were identified in primary tissue referred to as clinical biomarkers. Moreover, it contains 445 target genes for CSC therapeutics, 10 biomarkers targeted by clinical trial drugs in CSCs and 5 different types of interaction data for CSC biomarkers. BCSCdb is an online resource for CSC biomarkers, which will be immensely helpful in the cancer research community and is freely available. Database URL: http://dibresources.jcbose.ac.in/ssaha4/bcscdb
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spelling pubmed-95171642022-09-29 BCSCdb: a database of biomarkers of cancer stem cells Firdous, Shazia Ghosh, Abhirupa Saha, Sudipto Database (Oxford) Original Article Cancer stem cells (CSCs) are a small heterogeneous population present within the tumor cells exhibiting self-renewal properties. CSCs have been demonstrated to elicit an important role in cancer recurrence, metastasis and drug resistance. CSCs are distinguished from cancer cell populations based on their molecular profiling or expression of distinct CSC biomarker(s). Recently, a huge amount of omics data have been generated for the characterization of CSCs, which enables distinguishing CSCs in different cancers. Here, we report biomarkers of the Cancer Stem Cells database (BCSCdb), a repository of information about CSC biomarkers. BCSCdb comprises CSC biomarkers collected from PubMed literature where these are identified using high-throughput and low-throughput methods. Each biomarker is provided with two different scores: the first is a confidence score to give confidence to reported CSC biomarkers based on the experimental method of detection in CSCs. The second is the global score to identify the global CSC biomarkers across 10 different types of cancer. This database contains three tables containing information about experimentally validated CSC biomarkers or genes, therapeutic target genes of CSCs and CSC biomarkers interactions. It contains information on three types of markers: high-throughput marker (HTM-8307), high-throughput marker validated by the low-throughput method (283) and low-throughput marker (LTM-525). A total of 171 low-throughput biomarkers were identified in primary tissue referred to as clinical biomarkers. Moreover, it contains 445 target genes for CSC therapeutics, 10 biomarkers targeted by clinical trial drugs in CSCs and 5 different types of interaction data for CSC biomarkers. BCSCdb is an online resource for CSC biomarkers, which will be immensely helpful in the cancer research community and is freely available. Database URL: http://dibresources.jcbose.ac.in/ssaha4/bcscdb Oxford University Press 2022-09-28 /pmc/articles/PMC9517164/ /pubmed/36169329 http://dx.doi.org/10.1093/database/baac082 Text en © The Author(s) 2022. Published by Oxford University Press. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Original Article
Firdous, Shazia
Ghosh, Abhirupa
Saha, Sudipto
BCSCdb: a database of biomarkers of cancer stem cells
title BCSCdb: a database of biomarkers of cancer stem cells
title_full BCSCdb: a database of biomarkers of cancer stem cells
title_fullStr BCSCdb: a database of biomarkers of cancer stem cells
title_full_unstemmed BCSCdb: a database of biomarkers of cancer stem cells
title_short BCSCdb: a database of biomarkers of cancer stem cells
title_sort bcscdb: a database of biomarkers of cancer stem cells
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9517164/
https://www.ncbi.nlm.nih.gov/pubmed/36169329
http://dx.doi.org/10.1093/database/baac082
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