Physiological effects of Ac4ManNAz and optimization of metabolic labeling for cell tracking

Sang Soo Han, Dong Eun Lee, Hye Eun Shim, Sangmin Lee, Taekhee Jung, Jung Hwa Oh, Hyang Ae Lee, Sung Hwan Moon, Jongho Jeon, Seokjoo Yoon, Kwangmeyung Kim, Sun Woong Kang

Research output: Contribution to journalArticlepeer-review

23 Citations (Scopus)

Abstract

Metabolic labeling techniques are powerful tools for cell labeling, tracking and proteomic analysis. However, at present, the effects of the metabolic labeling agents on cell metabolism and physiology are not known. To address this question, in this study, we analyzed the effects of cells treated with Ac4ManNAz through microarray analysis and analyses of membrane channel activity, individual bio-physiological properties, and glycolytic flux. According to the results, treatment with 50 μM Ac4ManNAz led to the reduction of major cellular functions, including energy generation capacity, cellular infiltration ability and channel activity. Interestingly, 10 μM Ac4ManNAz showed the least effect on cellular systems and had a sufficient labeling efficiency for cell labeling, tracking and proteomic analysis. Based on our results, we suggest 10 μM as the optimum concentration of Ac4ManNAz for in vivo cell labeling and tracking. Additionally, we expect that our approach could be used for cell-based therapy for monitoring the efficacy of molecule delivery and the fate of recipient cells.

Original languageEnglish
Pages (from-to)1164-1176
Number of pages13
JournalTheranostics
Volume7
Issue number5
DOIs
Publication statusPublished - 2017
Externally publishedYes

Bibliographical note

Publisher Copyright:
© Ivyspring International Publisher.

Keywords

  • Azido group
  • Azido-sugar
  • Metabolic labeling
  • Modified glycosylation
  • Physiology

ASJC Scopus subject areas

  • Medicine (miscellaneous)
  • Pharmacology, Toxicology and Pharmaceutics (miscellaneous)

Fingerprint

Dive into the research topics of 'Physiological effects of Ac4ManNAz and optimization of metabolic labeling for cell tracking'. Together they form a unique fingerprint.

Cite this