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UID:0-960@lptms.universite-paris-saclay.fr
DTSTART;TZID=Europe/Paris:20240717T020000
DTEND;TZID=Europe/Paris:20240717T030000
DTSTAMP:20240614T155520Z
URL:http://www.lptms.universite-paris-saclay.fr/seminars/physics-biology-s
 eminar-ajay-subbaroyan/
SUMMARY:Physics-Biology Seminar: Ajay Subbaroyan - la salle des conseils du
  LPTMS - 17 Juil 24 02:00
DESCRIPTION:Ajay Subbaroyan (IMSc Chennai\, India)\nUncovering and leveragi
 ng design principles in Boolean models of gene regulatory networks\nBeware
  of the unusual day and timeslot\n\nBoolean networks (BNs) are a well-esta
 blished framework for modeling the dynamics of gene regulatory networks (G
 RNs). In Boolean GRNs\, genes can be either "on" or "off"\, with their dyn
 amics dictated by regulatory logic rules or Boolean functions (BFs). The c
 omplete dynamics of BNs are encapsulated in its state transition graph (ST
 G). In this presentation\, I will aim to address three research lacunae. T
 he first is whether regulatory logic rules in reconstructed BNs that model
  cellular decision making\, are random. We show that certain biologically 
 meaningful BFs\, namely\, the read-once functions (RoFs) and the nested ca
 nalyzing functions (NCFs) are highly preponderant in such reconstructed BN
 s. This observation is substantiated by proving that RoFs and NCFs possess
  minimal complexity based on two metrics\, Boolean complexity and average 
 sensitivity\, respectively. The second is the proposal of a model selectio
 n framework for developmental Boolean GRNs. Our framework leverages relati
 ve stability constraints that are predicated on the hierarchy of cell stat
 es on the developmental landscape. The application of this framework to th
 e latest reconstructed Boolean GRN of the Arabidopsis thaliana root stem c
 ell niche yields several improved models. The third is how various types o
 f regulatory logic rules influence the structure of the STG of a BN. Certa
 in biologically meaningful BFs typically engender more "bushy" and converg
 ent STGs\, indicative of robust dynamics\, as opposed to STGs obtained usi
 ng random BFs. This investigation is made possible by our adaptation of me
 asures from the theory of cellular automata to the domain of BNs.
CATEGORIES:physbio,seminars
LOCATION:la salle des conseils du LPTMS\, rue André Rivière\, Orsay\, LPT
 MS – Bâtiment Pascal n° 530\, 91405\, France
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=rue André Rivière\, Orsay
 \, LPTMS – Bâtiment Pascal n° 530\, 91405\, France;X-APPLE-RADIUS=100;
 X-TITLE=la salle des conseils du LPTMS:geo:0,0
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