BioMediTech Research Groups

Molecular Signaling Lab

Group Leader: Adjunct Professor Meenakshisundaram Kandhavelu


About Us

Molecular signaling network plays the crucial role in gene expression regulation and cell fate determination. Molecular Signaling Lab (MS Lab) investigate the molecular signaling pathways of cancer and other diseases. Improper intra and/or extracellular signal transduction affects cells well-being and lead to various diseases. Specifically, we study the canonical and non-canonical signaling pathways activated by membrane receptor at single cell level. For this, our group deploys interdisciplinary research knowledge such as Biosensor and biomeasurements, Pharmaceutical sciences, Single cell imaging, Molecular signal processing, Computational models and bioinformatics.

The group develops and apply synthetic signaling compounds, biosensor, modeling, and simulation for health and disease. We are part of the Computational Systems Biology Group, the Faculty of Biomedical Sciences and Engineering at BioMediTech – Tampere University of Technology.

For more information, please visit the:

Research interests and expertise

Glioma signaling:
We are studying the communication of malignant glioma cells and searching the cell death signaling molecules, using synthetic compounds, biosensor, fluorescence microscopy imaging, and molecular signal processing techniques.

Receptor signaling pathways:
We examine molecular signaling networks interaction at single cell level and unveil their complex interaction in space and time. Recently, we found that many of the mutated GPCR17 are not able to recognize and bind with previously reported ligands or binds with different orientation and interaction energy. Currently, we investigate the role of GPCR signaling in glial cells.

Anticancer activity of novel synthetic drug-like compounds:
Recently, we studied the degree of cancer cell heterogeneity from the time-lapse microscopy observation and image analysis of drug-treated cancer cells. Currently, we investigate cell fate mechanism of cancer cells at single cell level.

Computational sampling and dynamics of molecular interactions:
Trying to understand the molecular interactions at systems and cellular level. For this, we are using high-throughput molecular modeling, docking, and dynamics simulation methods. Our special focus on understanding the molecular specificity and evolution of interaction networks.



Laboratory of Biosignals in Mammalian cells: Imaging core facility for mammalian cells located in Tietotalo building, TC313. It offers state-of-the-art imaging system for computational and signal processing scientist. This infrastructures offers to investigate gene expression, mitochondria and cellular compartmentalization in eukaryotic cells, and develops novel signal and image processing techniques for these aims. In addition, several lab-cum theory courses and trainings are running using the infrastructure.

Collaboration offer and requests

Open Positions: Prospective candidates are welcome to send applications at any time. These should include the CV and a cover letter describing the research interests. There are positions available for graduate students (full time), research assistants (part time), PhD (full time) and post-doctoral fellows.

Interested candidates can send their applications to meenakshisundharam.kandhavelu(at)

Major Publications

  1. Konda Mani S, Palanivel S, Yli-Harja O, Kandhavelu M. Identification of novel GPR17-agonists by structural bioinformatics and signaling activation.  J. Biol. Macromol. in press, 2017.
  2. Doan P, Nguyen T, Yli-Harja O, Candeias NR, Kandhavelu M. Effect of alkylaminophenols on growth inhibition and apoptosis of bone cancer cells, EJPS, 107, 208-2016.
  3. Raunio J, Mannoja J, Nguyen T, Ahmad N, Kuuloja NM, Franzen RG, Kandhavelu M, Candeias NR. Base catalysed N-functionalisation of boroxazolidones, organic and biomolecular chemistry. RSC Advances, 7, 20620-20627, 2017.
  4. Karjalainen A, Doan P, Chandraseelan JG, Sandberg O, Yli-Harja O, Candeias NR, Kandhavelu M. Synthesis of Phenol-Derivatives and Biological Screening for Cytotoxic Activity. Anti-Cancer Agents in Medicinal Chemistry, 17, 1, 2017.
  5. Martins DP, Barros MT, Pierobon M, Kandhavelu M,  Lio P, Balasubramaniam S. Computational Models for Trapping Ebola Virus Using Engineered Bacteria. IEEE/ACM Transactions on Computational Biology and press, 2017.
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