Magnetic glyco-nanoparticles: A tool to detect, differentiate, and unlock the glyco-codes of cancer via magnetic resonance imaging

Kheireddine Ei-Boubbou, David C. Zhu, Chrysoula Vasileiou, Babak Borhan, Davide Prospen, Wei Li, Xuefei Huang

Research output: Contribution to journalArticle

192 Citations (Scopus)

Abstract

Within cancer, there is a large wealth of diversity, complexity, and information that nature has engineered rendering it challenging to identify reliable detection methods. Therefore, the development of simple and effective techniques to delineate the fine characteristics of cancer cells can have great potential impacts on cancer diagnosis and treatment. Herein, we report a magnetic glyco-nanoparticle (MGNP) based nanosensor system bearing carbohydrates as the ligands, not only to detect and differentiate cancer cells but also to quantitatively profile their carbohydrate binding abilities by magnetic resonance imaging (MRI). Using an array of MGNPs, a range of cells including closely related isogenic tumor cells, cells with different metastatic potential and malignant vs normal cells can be readily distinguished based on their respective "MRI signatures". Furthermore, the information obtained from such studies helped guide the establishment of strongly binding MGNPs as antiadhesive agents against tumors. As the interactions between glycoconjugates and endogenous lectins present on cancer cell surface are crucial for cancer development and metastasis, the ability to characterize and unlock the glyco-code of individual cell lines can facilitate both the understanding of the roles of carbohydrates as well as the expansion of diagnostic and therapeutic tools for cancer.

Original languageEnglish (US)
Pages (from-to)4490-4499
Number of pages10
JournalJournal of the American Chemical Society
Volume132
Issue number12
DOIs
StatePublished - Mar 31 2010

Fingerprint

Magnetic resonance
Nanoparticles
Cells
Magnetic Resonance Imaging
Imaging techniques
Carbohydrates
Neoplasms
Tumors
Bearings (structural)
Nanosensors
Glycoconjugates
Lectins
Ligands
Neoplasm Metastasis
Cell Line

All Science Journal Classification (ASJC) codes

  • Catalysis
  • Chemistry(all)
  • Biochemistry
  • Colloid and Surface Chemistry

Cite this

Magnetic glyco-nanoparticles : A tool to detect, differentiate, and unlock the glyco-codes of cancer via magnetic resonance imaging. / Ei-Boubbou, Kheireddine; Zhu, David C.; Vasileiou, Chrysoula; Borhan, Babak; Prospen, Davide; Li, Wei; Huang, Xuefei.

In: Journal of the American Chemical Society, Vol. 132, No. 12, 31.03.2010, p. 4490-4499.

Research output: Contribution to journalArticle

Ei-Boubbou, Kheireddine ; Zhu, David C. ; Vasileiou, Chrysoula ; Borhan, Babak ; Prospen, Davide ; Li, Wei ; Huang, Xuefei. / Magnetic glyco-nanoparticles : A tool to detect, differentiate, and unlock the glyco-codes of cancer via magnetic resonance imaging. In: Journal of the American Chemical Society. 2010 ; Vol. 132, No. 12. pp. 4490-4499.
@article{956d2084c9c245389b16c22a6b848fa3,
title = "Magnetic glyco-nanoparticles: A tool to detect, differentiate, and unlock the glyco-codes of cancer via magnetic resonance imaging",
abstract = "Within cancer, there is a large wealth of diversity, complexity, and information that nature has engineered rendering it challenging to identify reliable detection methods. Therefore, the development of simple and effective techniques to delineate the fine characteristics of cancer cells can have great potential impacts on cancer diagnosis and treatment. Herein, we report a magnetic glyco-nanoparticle (MGNP) based nanosensor system bearing carbohydrates as the ligands, not only to detect and differentiate cancer cells but also to quantitatively profile their carbohydrate binding abilities by magnetic resonance imaging (MRI). Using an array of MGNPs, a range of cells including closely related isogenic tumor cells, cells with different metastatic potential and malignant vs normal cells can be readily distinguished based on their respective {"}MRI signatures{"}. Furthermore, the information obtained from such studies helped guide the establishment of strongly binding MGNPs as antiadhesive agents against tumors. As the interactions between glycoconjugates and endogenous lectins present on cancer cell surface are crucial for cancer development and metastasis, the ability to characterize and unlock the glyco-code of individual cell lines can facilitate both the understanding of the roles of carbohydrates as well as the expansion of diagnostic and therapeutic tools for cancer.",
author = "Kheireddine Ei-Boubbou and Zhu, {David C.} and Chrysoula Vasileiou and Babak Borhan and Davide Prospen and Wei Li and Xuefei Huang",
year = "2010",
month = "3",
day = "31",
doi = "10.1021/ja100455c",
language = "English (US)",
volume = "132",
pages = "4490--4499",
journal = "Journal of the American Chemical Society",
issn = "0002-7863",
publisher = "American Chemical Society",
number = "12",

}

TY - JOUR

T1 - Magnetic glyco-nanoparticles

T2 - A tool to detect, differentiate, and unlock the glyco-codes of cancer via magnetic resonance imaging

AU - Ei-Boubbou, Kheireddine

AU - Zhu, David C.

AU - Vasileiou, Chrysoula

AU - Borhan, Babak

AU - Prospen, Davide

AU - Li, Wei

AU - Huang, Xuefei

PY - 2010/3/31

Y1 - 2010/3/31

N2 - Within cancer, there is a large wealth of diversity, complexity, and information that nature has engineered rendering it challenging to identify reliable detection methods. Therefore, the development of simple and effective techniques to delineate the fine characteristics of cancer cells can have great potential impacts on cancer diagnosis and treatment. Herein, we report a magnetic glyco-nanoparticle (MGNP) based nanosensor system bearing carbohydrates as the ligands, not only to detect and differentiate cancer cells but also to quantitatively profile their carbohydrate binding abilities by magnetic resonance imaging (MRI). Using an array of MGNPs, a range of cells including closely related isogenic tumor cells, cells with different metastatic potential and malignant vs normal cells can be readily distinguished based on their respective "MRI signatures". Furthermore, the information obtained from such studies helped guide the establishment of strongly binding MGNPs as antiadhesive agents against tumors. As the interactions between glycoconjugates and endogenous lectins present on cancer cell surface are crucial for cancer development and metastasis, the ability to characterize and unlock the glyco-code of individual cell lines can facilitate both the understanding of the roles of carbohydrates as well as the expansion of diagnostic and therapeutic tools for cancer.

AB - Within cancer, there is a large wealth of diversity, complexity, and information that nature has engineered rendering it challenging to identify reliable detection methods. Therefore, the development of simple and effective techniques to delineate the fine characteristics of cancer cells can have great potential impacts on cancer diagnosis and treatment. Herein, we report a magnetic glyco-nanoparticle (MGNP) based nanosensor system bearing carbohydrates as the ligands, not only to detect and differentiate cancer cells but also to quantitatively profile their carbohydrate binding abilities by magnetic resonance imaging (MRI). Using an array of MGNPs, a range of cells including closely related isogenic tumor cells, cells with different metastatic potential and malignant vs normal cells can be readily distinguished based on their respective "MRI signatures". Furthermore, the information obtained from such studies helped guide the establishment of strongly binding MGNPs as antiadhesive agents against tumors. As the interactions between glycoconjugates and endogenous lectins present on cancer cell surface are crucial for cancer development and metastasis, the ability to characterize and unlock the glyco-code of individual cell lines can facilitate both the understanding of the roles of carbohydrates as well as the expansion of diagnostic and therapeutic tools for cancer.

UR - http://www.scopus.com/inward/record.url?scp=77950227877&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=77950227877&partnerID=8YFLogxK

U2 - 10.1021/ja100455c

DO - 10.1021/ja100455c

M3 - Article

C2 - 20201530

AN - SCOPUS:77950227877

VL - 132

SP - 4490

EP - 4499

JO - Journal of the American Chemical Society

JF - Journal of the American Chemical Society

SN - 0002-7863

IS - 12

ER -