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Bispecific Aptamer Sensor toward T-Cell Leukemia Detection in the Tumor Microenvironment.
Boykoff, Natalie; Freage, Lina; Lenn, Jared; Mallikaratchy, Prabodhika.
Afiliação
  • Boykoff N; Ph.D. Programs in Chemistry and Biochemistry, CUNY Graduate Center, 365 Fifth Avenue, New York, New York 10016, United States.
  • Freage L; Department of Chemistry, Lehman College, The City University of New York, 250 Bedford Park Blvd., West, Bronx, New York 10468, United States.
  • Lenn J; The Bronx High School of Science, 75 W 205th Street, Bronx, New York 10468, United States.
  • Mallikaratchy P; Department of Chemistry, Lehman College, The City University of New York, 250 Bedford Park Blvd., West, Bronx, New York 10468, United States.
ACS Omega ; 6(48): 32563-32570, 2021 Dec 07.
Article em En | MEDLINE | ID: mdl-34901605
ABSTRACT
The current detection methods of malignant cells are mainly based on the high expression levels of certain surface proteins on these cells. However, many of the same surface marker proteins are also expressed in normal cells. Growing evidence suggests that the molecular signatures of the tumor microenvironment (TME) are related to the biological state of a diseased cell. Exploiting the unique molecular signature of the TME, we have designed a molecular sensing agent consisting of a molecular switch that can sense the elevated concentration of a small molecule in the TME and promote precise recognition of a malignant cell. We accomplished this by designing and developing a bispecific aptamer that takes advantage of a high concentration of adenosine 5'-triphosphate in the TME. Thus, we report a prototype of a bispecific aptamer molecule, which serves as a dual detection platform and recognizes tumor cells only when a given metabolite concentration is elevated in the TME. This system overcomes hurdles in detecting tumor cells solely based on the elevated expression of cell surface markers, providing a universal platform for tumor targeting and sensing.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Revista: ACS Omega Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Revista: ACS Omega Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos