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BCSCdb: a database of biomarkers of cancer stem cells.
Firdous, Shazia; Ghosh, Abhirupa; Saha, Sudipto.
Afiliación
  • Firdous S; Division of Bioinformatics, Bose Institute, Unified Campus Salt Lake, College More, EN Block, Sector V, Kolkata, West Bengal 700091, India.
  • Ghosh A; Division of Bioinformatics, Bose Institute, Unified Campus Salt Lake, College More, EN Block, Sector V, Kolkata, West Bengal 700091, India.
  • Saha S; Division of Bioinformatics, Bose Institute, Unified Campus Salt Lake, College More, EN Block, Sector V, Kolkata, West Bengal 700091, India.
Database (Oxford) ; 20222022 09 28.
Article en En | MEDLINE | ID: mdl-36169329
ABSTRACT
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.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Células Madre Neoplásicas / Neoplasias Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Database (Oxford) Año: 2022 Tipo del documento: Article País de afiliación: India

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Células Madre Neoplásicas / Neoplasias Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Database (Oxford) Año: 2022 Tipo del documento: Article País de afiliación: India