Reverse-time inference of biological dynamics

Lenner, Nicolas

dc.contributor.advisor	Wolf, Fred Prof. Dr.
dc.contributor.author	Lenner, Nicolas
dc.date.accessioned	2020-10-27T15:10:41Z
dc.date.available	2020-10-27T15:10:41Z
dc.date.issued	2020-10-27
dc.identifier.uri	http://hdl.handle.net/21.11130/00-1735-0000-0005-14C5-6
dc.identifier.uri	http://dx.doi.org/10.53846/goediss-8241
dc.identifier.uri	http://dx.doi.org/10.53846/goediss-8241
dc.language.iso	eng	de
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject.ddc	530	de
dc.title	Reverse-time inference of biological dynamics	de
dc.type	doctoralThesis	de
dc.contributor.referee	Wolf, Fred Prof. Dr.
dc.date.examination	2019-11-13
dc.subject.gok	Physik (PPN621336750)	de
dc.description.abstracteng	In this work I derive a mathematical theory that allows to infer directional biological dynamics in reverse time starting from their target state. I use this approach to infer an effective model of cell junction shrinkage during cell intercalation mediated germband extension in Drosophila embryogenesis. Due to the intrinsic stochasticity of time dependent biological observables, a single observation is not sufficient to characterize the measured process. Instead, a set of independently recorded sample paths is required to form an ensemble and evaluate its statistics. I suggest analyzing such data sets in their natural frame of reference, i.e. by target state alignment. Target state alignment (TSA) allows to determine whether and at which point such a system can be summarized into a single effective dynamic. Target state alignment however also creates pseudo forces. The TSA theory allows me to separate these spurious forces from the true underlying dynamics. Different from previous work, the TSA theory allows the inference of non-linear, non-equilibrium dynamics irrespective of any possibly unknown initial conditions. Applied to Drosophila germband extension this statistical approach establishes a visco-elastic model of junction shrinkage.	de
dc.contributor.coReferee	Großhans, Jörg Prof. Dr.
dc.contributor.thirdReferee	Enderlein, Jörg Prof. Dr.
dc.contributor.thirdReferee	Klumpp, Stefan Prof. Dr.
dc.contributor.thirdReferee	Parlitz, Ulrich Prof. Dr.
dc.contributor.thirdReferee	Wibral, Michael Prof. Dr.
dc.subject.eng	reverse-time inference	de
dc.subject.eng	stochastic dynamics	de
dc.subject.eng	target state alignment	de
dc.subject.eng	developmental biology	de
dc.subject.eng	Drosophila embryogenesis	de
dc.subject.eng	cell intercalation	de
dc.subject.eng	germband extension	de
dc.identifier.urn	urn:nbn:de:gbv:7-21.11130/00-1735-0000-0005-14C5-6-6
dc.affiliation.institute	Fakultät für Physik	de
dc.identifier.ppn	1736837443

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Das Dokument erscheint in:

GGNB - Göttinger Graduiertenzentrum für Neurowissenschaften, Biophysik und molekulare Biowissenschaften [1115]
GGNB - Göttingen Graduate Center for Neurosciences, Biophysics and Molecular Biosciences

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