Thursday, 23rd November 2017

Development and Regeneration

         Biophysics and Systems Biology

 


Grupo-400

 


 

 

David Míguez

 CSciStaff

CPublications

 

 

 

 

Research summary:

Our lab focuses on the study of the dynamics of biological systems combing experimental, theoretical and computational tools. Our main interests are:

  • Regulation of stem cell differentiation during developmental processes
    The cellular machinery is governed by interacting proteins, genes and metabolites that form complex and highly interconnected networks of interactions. This way, extracellular stimuli triggers pathways of biological events that regulate gene expression, protein activity, and ultimately, cell response. We combine in vivo and in silico approaches to understand how the wiring of the pathways determines the role of the proteins that regulate the differentiation of neurons. We also study how the interplay between mode and rate of division of stem cells is orchestrated. To do that, we use in toto microscopy combined with theoretical tools and algorithms developed in the lab to quantify the effect of key regulators in the balance between proliferation and differentiation during vertebrate neurogenesis.
  • Nonlinear regulation in pathways and its impact on disease treatment
    Small molecule inhibitors display significant potential as treatment for diseases that involve the deregulation of signal transduction pathways. These inhibitors are developed based on their target specificity and binding affinity. We focus on the fact that the numerous signaling proteins and feedback loops in signaling pathways strongly influence the efficiency of pharmacological treatment. The existence of several regulatory positive and negative feedback loops either creates complex dose-responses, desensitization to periodic treatments, or modulation of the drug effect in combinatorial treatments. Our experiments show that the effect of inhibitors strongly depends on the architecture of the targeted pathway, and a detailed characterisation of these nonlinear effects can be useful when designing optimal treatment strategies.
  • Stochasticity and effect of perturbations in biological networks
    Biological networks control cellular behaviour both at the intracellular and at intercellular level. These highly interconnected networks need to perform in the continuously fluctuating and changing cellular microenvironment. Disruption of these networks often leads to aberrant cell behaviour and disease. This leads to some broad questions that we try to address in the lab at different levels: How can these highly nonlinear biological networks integrate and process information? How can they operate robustly in the presence of noise and fluctuations? What are the mechanisms at the network level underlying the adaptation to the different sources of extrinsic and intrinsic noise ? To answer these questions, we use a synthetic biology approach to analyse experimental and computationally the dynamics of fluctuations in minimal networks motifs.

 

figure1

Figure 1: Confocal sections of neural tube of G. Gallus at different developmental times.
Blue: Dapi. Red: Differentiated cells. Green: progenitor cells