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dc.contributor.authorRahi, SJ
dc.contributor.authorLarsch, J
dc.contributor.authorPecani, K
dc.contributor.authorKatsov, AY
dc.contributor.authorMansouri, N
dc.contributor.authorTsaneva-Atanasova, K
dc.contributor.authorSontag, ED
dc.contributor.authorCross, FR
dc.date.accessioned2017-08-29T09:53:46Z
dc.date.issued2017-08-28
dc.description.abstractBiology emerges from interactions between molecules, which are challenging to elucidate with current techniques. An orthogonal approach is to probe for 'response signatures' that identify specific circuit motifs. For example, bistability, hysteresis, or irreversibility are used to detect positive feedback loops. For adapting systems, such signatures are not known. Only two circuit motifs generate adaptation: negative feedback loops (NFLs) and incoherent feed-forward loops (IFFLs). On the basis of computational testing and mathematical proofs, we propose differential signatures: in response to oscillatory stimulation, NFLs but not IFFLs show refractory-period stabilization (robustness to changes in stimulus duration) or period skipping. Applying this approach to yeast, we identified the circuit dominating cell cycle timing. In Caenorhabditis elegans AWA neurons, which are crucial for chemotaxis, we uncovered a Ca2+ NFL leading to adaptation that would be difficult to find by other means. These response signatures allow direct access to the outlines of the wiring diagrams of adapting systems.en_GB
dc.description.sponsorshipThe work was supported by US National Institutes of Health grant 5RO1-GM078153-07 (F.R.C.), NRSA Training Grant CA009673-36A1 (S.J.R.), a Merck Postdoctoral Fellowship at The Rockefeller University (S.J.R.), and the Simons Foundation (S.J.R.). J.L. was supported by a fellowship from the Boehringer Ingelheim Fonds. E.D.S. was partially supported by the US Office of Naval Research (ONR N00014-13-1-0074) and the US Air Force Office of Scientific Research (AFOSR FA9550-14-1-0060).en_GB
dc.identifier.citationPublished online 28 August 2017en_GB
dc.identifier.doi10.1038/nmeth.4408
dc.identifier.urihttp://hdl.handle.net/10871/29095
dc.language.isoenen_GB
dc.publisherSpringer Natureen_GB
dc.rights.embargoreasonPublisher policyen_GB
dc.subjectBiochemical reaction networksen_GB
dc.subjectCell growthen_GB
dc.subjectComputational biophysicsen_GB
dc.subjectMolecular neuroscienceen_GB
dc.subjectNetwork topologyen_GB
dc.titleOscillatory stimuli differentiate adapting circuit topologiesen_GB
dc.typeArticleen_GB
dc.identifier.issn1548-7091
dc.descriptionThis is the author accepted manuscript. The final version is available from Springer Nature via the DOI in this record.en_GB
dc.identifier.journalNature Methodsen_GB


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