Chemically Synthesized Fluorescence-Based Kinase Sensing Systems for Signaling in Cancer

Anindita Roy1, Monisha Singha2, Subhankar Singha1

  • 1Centre for Interdisciplinary Sciences (CIS), JIS Institute of Advanced Studies and Research (JISIASR), JIS University, Howrah, West Bengal, 711112, India.

Insights

Chemically synthesized fluorescence-based kinase sensors offer sensitive, real-time detection of kinase activity. These versatile tools aid in understanding cancer biology and developing personalized medicine by identifying biomarkers and optimizing therapies.

Area of Science:

  • Biochemistry
  • Molecular Biology
  • Chemical Biology

Background:

  • Kinases regulate crucial cellular processes via phosphorylation.
  • Dysregulated kinase activity is linked to cancer development, progression, and treatment resistance.
  • Accurate monitoring of kinase activity is vital for cancer research and clinical applications.

Purpose of the Study:

  • To review chemically synthesized fluorescence-based kinase sensing systems.
  • To highlight their advantages over genetically encoded systems for cancer research.
  • To explore their potential in diagnostics and personalized cancer therapy.

Main Methods:

  • Focus on chemically synthesized fluorescence-based kinase sensing systems.
  • Classification into peptide substrate-based, ATP/ADP-recognition-based, and inhibitor-based systems.
  • Discussion of design, mechanisms, and applications in cancer biology.

Main Results:

  • Chemically synthesized sensors offer precise control and versatility for in vitro and in vivo studies.
  • These systems provide sensitive, real-time insights into kinase function.
  • They are well-suited for quantitative, high-throughput screening.

Conclusions:

  • Chemically synthesized fluorescence-based kinase sensors are powerful tools for cancer research.
  • They enable identification of kinase biomarkers and optimization of targeted therapies.
  • These sensors advance personalized medicine by providing detailed kinase activity profiles.