An

CD133 (prominin-1) Cancer stem cells In-silico analysis third extracellular domain (D-EC3)

Journal

Iranian journal of pharmaceutical research : IJPR
ISSN: 1735-0328
Titre abrégé: Iran J Pharm Res
Pays: Netherlands
ID NLM: 101208407

Informations de publication

Date de publication:
2021
Historique:
entrez: 23 2 2022
pubmed: 24 2 2022
medline: 24 2 2022
Statut: ppublish

Résumé

The selection of the appropriate fragment of the cell surface receptors as an antigen is significant for the production of antibodies. CD133, as a suitable biomarker candidate in the cancer stem cells (CSCs), is a glycosylated protein. The antibodies used for analyzing it recognize glycosylated epitopes of CD133. Since the glycosylated motifs have a dynamic nature over the lifetime of a protein, they limit the detection of CD133. In this study, to access a specific antibody against the antigenic, accessible, and non-glycosylated fragment of the native CD133, we performed an

Identifiants

pubmed: 35194430
doi: 10.22037/ijpr.2021.115662.15470
pmc: PMC8842621
doi:

Types de publication

Journal Article

Langues

eng

Pagination

80-91

Déclaration de conflit d'intérêts

The authors declare that they have no conflict of interest.

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Auteurs

Sepideh Ghani (S)

Department of Medical Biotechnology, School of Advanced Technologies in Medicine Shahid Beheshti University of Medical Sciences, Tehran, Iran.

Fatemeh Yarian (F)

Department of Medical Biotechnology, School of Advanced Technologies in Medicine Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Department of Medical Biotechnology, School of Advanced Technologies in Medicine, Fasa University of Medical Sciences, Fasa, Iran.

Mojgan Bandehpour (M)

Department of Medical Biotechnology, School of Advanced Technologies in Medicine Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Cellular and Molecular Biology Research Center Shahid Beheshti University of Medical Sciences, Tehran, Iran.

Bahram Kazemi (B)

Cellular and Molecular Biology Research Center Shahid Beheshti University of Medical Sciences, Tehran, Iran.

Classifications MeSH