--- _id: '6071' abstract: - lang: eng text: 'Transcription factors, by binding to specific sequences on the DNA, control the precise spatio-temporal expression of genes inside a cell. However, this specificity is limited, leading to frequent incorrect binding of transcription factors that might have deleterious consequences on the cell. By constructing a biophysical model of TF-DNA binding in the context of gene regulation, I will first explore how regulatory constraints can strongly shape the distribution of a population in sequence space. Then, by directly linking this to a picture of multiple types of transcription factors performing their functions simultaneously inside the cell, I will explore the extent of regulatory crosstalk -- incorrect binding interactions between transcription factors and binding sites that lead to erroneous regulatory states -- and understand the constraints this places on the design of regulatory systems. I will then develop a generic theoretical framework to investigate the coevolution of multiple transcription factors and multiple binding sites, in the context of a gene regulatory network that performs a certain function. As a particular tractable version of this problem, I will consider the evolution of two transcription factors when they transmit upstream signals to downstream target genes. Specifically, I will describe the evolutionary steady states and the evolutionary pathways involved, along with their timescales, of a system that initially undergoes a transcription factor duplication event. To connect this important theoretical model to the prominent biological event of transcription factor duplication giving rise to paralogous families, I will then describe a bioinformatics analysis of C2H2 Zn-finger transcription factors, a major family in humans, and focus on the patterns of evolution that paralogs have undergone in their various protein domains in the recent past. ' alternative_title: - ISTA Thesis article_processing_charge: No author: - first_name: Roshan full_name: Prizak, Roshan id: 4456104E-F248-11E8-B48F-1D18A9856A87 last_name: Prizak citation: ama: Prizak R. Coevolution of transcription factors and their binding sites in sequence space. 2019. doi:10.15479/at:ista:th6071 apa: Prizak, R. (2019). Coevolution of transcription factors and their binding sites in sequence space. Institute of Science and Technology Austria. https://doi.org/10.15479/at:ista:th6071 chicago: Prizak, Roshan. “Coevolution of Transcription Factors and Their Binding Sites in Sequence Space.” Institute of Science and Technology Austria, 2019. https://doi.org/10.15479/at:ista:th6071. ieee: R. Prizak, “Coevolution of transcription factors and their binding sites in sequence space,” Institute of Science and Technology Austria, 2019. ista: Prizak R. 2019. Coevolution of transcription factors and their binding sites in sequence space. Institute of Science and Technology Austria. mla: Prizak, Roshan. Coevolution of Transcription Factors and Their Binding Sites in Sequence Space. Institute of Science and Technology Austria, 2019, doi:10.15479/at:ista:th6071. short: R. Prizak, Coevolution of Transcription Factors and Their Binding Sites in Sequence Space, Institute of Science and Technology Austria, 2019. date_created: 2019-03-06T16:16:10Z date_published: 2019-03-11T00:00:00Z date_updated: 2023-09-22T10:00:48Z day: '11' ddc: - '576' degree_awarded: PhD department: - _id: GaTk - _id: NiBa doi: 10.15479/at:ista:th6071 file: - access_level: open_access checksum: e60a72de35d270b31f1a23d50f224ec0 content_type: application/pdf creator: rprizak date_created: 2019-03-06T16:05:07Z date_updated: 2020-07-14T12:47:18Z file_id: '6072' file_name: Thesis_final_PDFA_RoshanPrizak.pdf file_size: 20995465 relation: main_file - access_level: closed checksum: 67c2630333d05ebafef5f018863a8465 content_type: application/zip creator: rprizak date_created: 2019-03-06T16:09:39Z date_updated: 2020-07-14T12:47:18Z file_id: '6073' file_name: thesis_v2_merge.zip file_size: 85705272 relation: source_file title: Latex files file_date_updated: 2020-07-14T12:47:18Z has_accepted_license: '1' language: - iso: eng month: '03' oa: 1 oa_version: Published Version page: '189' project: - _id: 254E9036-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: P28844-B27 name: Biophysics of information processing in gene regulation publication_identifier: issn: - 2663-337X publication_status: published publisher: Institute of Science and Technology Austria related_material: record: - id: '1358' relation: part_of_dissertation status: public - id: '955' relation: part_of_dissertation status: public status: public supervisor: - first_name: Gašper full_name: Tkačik, Gašper id: 3D494DCA-F248-11E8-B48F-1D18A9856A87 last_name: Tkačik orcid: 0000-0002-6699-1455 title: Coevolution of transcription factors and their binding sites in sequence space type: dissertation user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1 year: '2019' ... --- _id: '7103' abstract: - lang: eng text: Origin and functions of intermittent transitions among sleep stages, including short awakenings and arousals, constitute a challenge to the current homeostatic framework for sleep regulation, focusing on factors modulating sleep over large time scales. Here we propose that the complex micro-architecture characterizing the sleep-wake cycle results from an underlying non-equilibrium critical dynamics, bridging collective behaviors across spatio-temporal scales. We investigate θ and δ wave dynamics in control rats and in rats with lesions of sleep-promoting neurons in the parafacial zone. We demonstrate that intermittent bursts in θ and δ rhythms exhibit a complex temporal organization, with long-range power-law correlations and a robust duality of power law (θ-bursts, active phase) and exponential-like (δ-bursts, quiescent phase) duration distributions, typical features of non-equilibrium systems self-organizing at criticality. Crucially, such temporal organization relates to anti-correlated coupling between θ- and δ-bursts, and is independent of the dominant physiologic state and lesions, a solid indication of a basic principle in sleep dynamics. article_number: e1007268 article_processing_charge: No article_type: original author: - first_name: Jilin W. J. L. full_name: Wang, Jilin W. J. L. last_name: Wang - first_name: Fabrizio full_name: Lombardi, Fabrizio id: A057D288-3E88-11E9-986D-0CF4E5697425 last_name: Lombardi orcid: 0000-0003-2623-5249 - first_name: Xiyun full_name: Zhang, Xiyun last_name: Zhang - first_name: Christelle full_name: Anaclet, Christelle last_name: Anaclet - first_name: Plamen Ch. full_name: Ivanov, Plamen Ch. last_name: Ivanov citation: ama: Wang JWJL, Lombardi F, Zhang X, Anaclet C, Ivanov PC. Non-equilibrium critical dynamics of bursts in θ and δ rhythms as fundamental characteristic of sleep and wake micro-architecture. PLoS Computational Biology. 2019;15(11). doi:10.1371/journal.pcbi.1007268 apa: Wang, J. W. J. L., Lombardi, F., Zhang, X., Anaclet, C., & Ivanov, P. C. (2019). Non-equilibrium critical dynamics of bursts in θ and δ rhythms as fundamental characteristic of sleep and wake micro-architecture. PLoS Computational Biology. Public Library of Science. https://doi.org/10.1371/journal.pcbi.1007268 chicago: Wang, Jilin W. J. L., Fabrizio Lombardi, Xiyun Zhang, Christelle Anaclet, and Plamen Ch. Ivanov. “Non-Equilibrium Critical Dynamics of Bursts in θ and δ Rhythms as Fundamental Characteristic of Sleep and Wake Micro-Architecture.” PLoS Computational Biology. Public Library of Science, 2019. https://doi.org/10.1371/journal.pcbi.1007268. ieee: J. W. J. L. Wang, F. Lombardi, X. Zhang, C. Anaclet, and P. C. Ivanov, “Non-equilibrium critical dynamics of bursts in θ and δ rhythms as fundamental characteristic of sleep and wake micro-architecture,” PLoS Computational Biology, vol. 15, no. 11. Public Library of Science, 2019. ista: Wang JWJL, Lombardi F, Zhang X, Anaclet C, Ivanov PC. 2019. Non-equilibrium critical dynamics of bursts in θ and δ rhythms as fundamental characteristic of sleep and wake micro-architecture. PLoS Computational Biology. 15(11), e1007268. mla: Wang, Jilin W. J. L., et al. “Non-Equilibrium Critical Dynamics of Bursts in θ and δ Rhythms as Fundamental Characteristic of Sleep and Wake Micro-Architecture.” PLoS Computational Biology, vol. 15, no. 11, e1007268, Public Library of Science, 2019, doi:10.1371/journal.pcbi.1007268. short: J.W.J.L. Wang, F. Lombardi, X. Zhang, C. Anaclet, P.C. Ivanov, PLoS Computational Biology 15 (2019). date_created: 2019-11-25T08:20:47Z date_published: 2019-11-01T00:00:00Z date_updated: 2023-10-17T12:30:07Z day: '01' ddc: - '570' - '000' department: - _id: GaTk doi: 10.1371/journal.pcbi.1007268 ec_funded: 1 external_id: isi: - '000500976100014' pmid: - '31725712' file: - access_level: open_access checksum: 2a096a9c6dcc6eaa94077b2603bc6c12 content_type: application/pdf creator: dernst date_created: 2019-11-25T08:24:01Z date_updated: 2020-07-14T12:47:49Z file_id: '7104' file_name: 2019_PLOSComBio_Wang.pdf file_size: 3982516 relation: main_file file_date_updated: 2020-07-14T12:47:49Z has_accepted_license: '1' intvolume: ' 15' isi: 1 issue: '11' language: - iso: eng license: https://creativecommons.org/licenses/by/4.0/ month: '11' oa: 1 oa_version: Published Version pmid: 1 project: - _id: 260C2330-B435-11E9-9278-68D0E5697425 call_identifier: H2020 grant_number: '754411' name: ISTplus - Postdoctoral Fellowships publication: PLoS Computational Biology publication_identifier: issn: - 1553-7358 publication_status: published publisher: Public Library of Science quality_controlled: '1' scopus_import: '1' status: public title: Non-equilibrium critical dynamics of bursts in θ and δ rhythms as fundamental characteristic of sleep and wake micro-architecture tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: journal_article user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 15 year: '2019' ... --- _id: '6090' abstract: - lang: eng text: Cells need to reliably sense external ligand concentrations to achieve various biological functions such as chemotaxis or signaling. The molecular recognition of ligands by surface receptors is degenerate in many systems, leading to crosstalk between ligand-receptor pairs. Crosstalk is often thought of as a deviation from optimal specific recognition, as the binding of noncognate ligands can interfere with the detection of the receptor's cognate ligand, possibly leading to a false triggering of a downstream signaling pathway. Here we quantify the optimal precision of sensing the concentrations of multiple ligands by a collection of promiscuous receptors. We demonstrate that crosstalk can improve precision in concentration sensing and discrimination tasks. To achieve superior precision, the additional information about ligand concentrations contained in short binding events of the noncognate ligand should be exploited. We present a proofreading scheme to realize an approximate estimation of multiple ligand concentrations that reaches a precision close to the derived optimal bounds. Our results help rationalize the observed ubiquity of receptor crosstalk in molecular sensing. article_number: '022423' article_processing_charge: No author: - first_name: Martín full_name: Carballo-Pacheco, Martín last_name: Carballo-Pacheco - first_name: Jonathan full_name: Desponds, Jonathan last_name: Desponds - first_name: Tatyana full_name: Gavrilchenko, Tatyana last_name: Gavrilchenko - first_name: Andreas full_name: Mayer, Andreas last_name: Mayer - first_name: Roshan full_name: Prizak, Roshan id: 4456104E-F248-11E8-B48F-1D18A9856A87 last_name: Prizak - first_name: Gautam full_name: Reddy, Gautam last_name: Reddy - first_name: Ilya full_name: Nemenman, Ilya last_name: Nemenman - first_name: Thierry full_name: Mora, Thierry last_name: Mora citation: ama: Carballo-Pacheco M, Desponds J, Gavrilchenko T, et al. Receptor crosstalk improves concentration sensing of multiple ligands. Physical Review E. 2019;99(2). doi:10.1103/PhysRevE.99.022423 apa: Carballo-Pacheco, M., Desponds, J., Gavrilchenko, T., Mayer, A., Prizak, R., Reddy, G., … Mora, T. (2019). Receptor crosstalk improves concentration sensing of multiple ligands. Physical Review E. American Physical Society. https://doi.org/10.1103/PhysRevE.99.022423 chicago: Carballo-Pacheco, Martín, Jonathan Desponds, Tatyana Gavrilchenko, Andreas Mayer, Roshan Prizak, Gautam Reddy, Ilya Nemenman, and Thierry Mora. “Receptor Crosstalk Improves Concentration Sensing of Multiple Ligands.” Physical Review E. American Physical Society, 2019. https://doi.org/10.1103/PhysRevE.99.022423. ieee: M. Carballo-Pacheco et al., “Receptor crosstalk improves concentration sensing of multiple ligands,” Physical Review E, vol. 99, no. 2. American Physical Society, 2019. ista: Carballo-Pacheco M, Desponds J, Gavrilchenko T, Mayer A, Prizak R, Reddy G, Nemenman I, Mora T. 2019. Receptor crosstalk improves concentration sensing of multiple ligands. Physical Review E. 99(2), 022423. mla: Carballo-Pacheco, Martín, et al. “Receptor Crosstalk Improves Concentration Sensing of Multiple Ligands.” Physical Review E, vol. 99, no. 2, 022423, American Physical Society, 2019, doi:10.1103/PhysRevE.99.022423. short: M. Carballo-Pacheco, J. Desponds, T. Gavrilchenko, A. Mayer, R. Prizak, G. Reddy, I. Nemenman, T. Mora, Physical Review E 99 (2019). date_created: 2019-03-10T22:59:20Z date_published: 2019-02-26T00:00:00Z date_updated: 2024-02-28T13:12:06Z day: '26' department: - _id: NiBa - _id: GaTk doi: 10.1103/PhysRevE.99.022423 external_id: isi: - '000459916500007' intvolume: ' 99' isi: 1 issue: '2' language: - iso: eng main_file_link: - open_access: '1' url: https://www.biorxiv.org/content/10.1101/448118v1.abstract month: '02' oa: 1 oa_version: Preprint publication: Physical Review E publication_status: published publisher: American Physical Society quality_controlled: '1' scopus_import: '1' status: public title: Receptor crosstalk improves concentration sensing of multiple ligands type: journal_article user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 99 year: '2019' ... --- _id: '7606' abstract: - lang: eng text: We derive a tight lower bound on equivocation (conditional entropy), or equivalently a tight upper bound on mutual information between a signal variable and channel outputs. The bound is in terms of the joint distribution of the signals and maximum a posteriori decodes (most probable signals given channel output). As part of our derivation, we describe the key properties of the distribution of signals, channel outputs and decodes, that minimizes equivocation and maximizes mutual information. This work addresses a problem in data analysis, where mutual information between signals and decodes is sometimes used to lower bound the mutual information between signals and channel outputs. Our result provides a corresponding upper bound. article_number: '8989292' article_processing_charge: No author: - first_name: Michal full_name: Hledik, Michal id: 4171253A-F248-11E8-B48F-1D18A9856A87 last_name: Hledik - first_name: Thomas R full_name: Sokolowski, Thomas R id: 3E999752-F248-11E8-B48F-1D18A9856A87 last_name: Sokolowski orcid: 0000-0002-1287-3779 - first_name: Gašper full_name: Tkačik, Gašper id: 3D494DCA-F248-11E8-B48F-1D18A9856A87 last_name: Tkačik orcid: 0000-0002-6699-1455 citation: ama: 'Hledik M, Sokolowski TR, Tkačik G. A tight upper bound on mutual information. In: IEEE Information Theory Workshop, ITW 2019. IEEE; 2019. doi:10.1109/ITW44776.2019.8989292' apa: 'Hledik, M., Sokolowski, T. R., & Tkačik, G. (2019). A tight upper bound on mutual information. In IEEE Information Theory Workshop, ITW 2019. Visby, Sweden: IEEE. https://doi.org/10.1109/ITW44776.2019.8989292' chicago: Hledik, Michal, Thomas R Sokolowski, and Gašper Tkačik. “A Tight Upper Bound on Mutual Information.” In IEEE Information Theory Workshop, ITW 2019. IEEE, 2019. https://doi.org/10.1109/ITW44776.2019.8989292. ieee: M. Hledik, T. R. Sokolowski, and G. Tkačik, “A tight upper bound on mutual information,” in IEEE Information Theory Workshop, ITW 2019, Visby, Sweden, 2019. ista: Hledik M, Sokolowski TR, Tkačik G. 2019. A tight upper bound on mutual information. IEEE Information Theory Workshop, ITW 2019. Information Theory Workshop, 8989292. mla: Hledik, Michal, et al. “A Tight Upper Bound on Mutual Information.” IEEE Information Theory Workshop, ITW 2019, 8989292, IEEE, 2019, doi:10.1109/ITW44776.2019.8989292. short: M. Hledik, T.R. Sokolowski, G. Tkačik, in:, IEEE Information Theory Workshop, ITW 2019, IEEE, 2019. conference: end_date: 2019-08-28 location: Visby, Sweden name: Information Theory Workshop start_date: 2019-08-25 date_created: 2020-03-22T23:00:47Z date_published: 2019-08-01T00:00:00Z date_updated: 2024-03-06T14:22:51Z day: '01' department: - _id: GaTk doi: 10.1109/ITW44776.2019.8989292 ec_funded: 1 external_id: arxiv: - '1812.01475' isi: - '000540384500015' isi: 1 language: - iso: eng main_file_link: - open_access: '1' url: https://arxiv.org/abs/1812.01475 month: '08' oa: 1 oa_version: Preprint project: - _id: 2564DBCA-B435-11E9-9278-68D0E5697425 call_identifier: H2020 grant_number: '665385' name: International IST Doctoral Program publication: IEEE Information Theory Workshop, ITW 2019 publication_identifier: isbn: - '9781538669006' publication_status: published publisher: IEEE quality_controlled: '1' related_material: record: - id: '15020' relation: dissertation_contains status: public scopus_import: '1' status: public title: A tight upper bound on mutual information type: conference user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1 year: '2019' ... --- _id: '306' abstract: - lang: eng text: A cornerstone of statistical inference, the maximum entropy framework is being increasingly applied to construct descriptive and predictive models of biological systems, especially complex biological networks, from large experimental data sets. Both its broad applicability and the success it obtained in different contexts hinge upon its conceptual simplicity and mathematical soundness. Here we try to concisely review the basic elements of the maximum entropy principle, starting from the notion of ‘entropy’, and describe its usefulness for the analysis of biological systems. As examples, we focus specifically on the problem of reconstructing gene interaction networks from expression data and on recent work attempting to expand our system-level understanding of bacterial metabolism. Finally, we highlight some extensions and potential limitations of the maximum entropy approach, and point to more recent developments that are likely to play a key role in the upcoming challenges of extracting structures and information from increasingly rich, high-throughput biological data. article_number: e00596 author: - first_name: Andrea full_name: De Martino, Andrea last_name: De Martino - first_name: Daniele full_name: De Martino, Daniele id: 3FF5848A-F248-11E8-B48F-1D18A9856A87 last_name: De Martino orcid: 0000-0002-5214-4706 citation: ama: De Martino A, De Martino D. An introduction to the maximum entropy approach and its application to inference problems in biology. Heliyon. 2018;4(4). doi:10.1016/j.heliyon.2018.e00596 apa: De Martino, A., & De Martino, D. (2018). An introduction to the maximum entropy approach and its application to inference problems in biology. Heliyon. Elsevier. https://doi.org/10.1016/j.heliyon.2018.e00596 chicago: De Martino, Andrea, and Daniele De Martino. “An Introduction to the Maximum Entropy Approach and Its Application to Inference Problems in Biology.” Heliyon. Elsevier, 2018. https://doi.org/10.1016/j.heliyon.2018.e00596. ieee: A. De Martino and D. De Martino, “An introduction to the maximum entropy approach and its application to inference problems in biology,” Heliyon, vol. 4, no. 4. Elsevier, 2018. ista: De Martino A, De Martino D. 2018. An introduction to the maximum entropy approach and its application to inference problems in biology. Heliyon. 4(4), e00596. mla: De Martino, Andrea, and Daniele De Martino. “An Introduction to the Maximum Entropy Approach and Its Application to Inference Problems in Biology.” Heliyon, vol. 4, no. 4, e00596, Elsevier, 2018, doi:10.1016/j.heliyon.2018.e00596. short: A. De Martino, D. De Martino, Heliyon 4 (2018). date_created: 2018-12-11T11:45:44Z date_published: 2018-04-01T00:00:00Z date_updated: 2021-01-12T07:40:46Z day: '01' ddc: - '530' department: - _id: GaTk doi: 10.1016/j.heliyon.2018.e00596 ec_funded: 1 file: - access_level: open_access checksum: 67010cf5e3b3e0637c659371714a715a content_type: application/pdf creator: dernst date_created: 2019-02-06T07:36:24Z date_updated: 2020-07-14T12:45:59Z file_id: '5929' file_name: 2018_Heliyon_DeMartino.pdf file_size: 994490 relation: main_file file_date_updated: 2020-07-14T12:45:59Z has_accepted_license: '1' intvolume: ' 4' issue: '4' language: - iso: eng month: '04' oa: 1 oa_version: Published Version project: - _id: 25681D80-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '291734' name: International IST Postdoc Fellowship Programme publication: Heliyon publication_status: published publisher: Elsevier quality_controlled: '1' scopus_import: 1 status: public title: An introduction to the maximum entropy approach and its application to inference problems in biology tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: journal_article user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 4 year: '2018' ...