{"id":29,"date":"2020-11-18T20:00:37","date_gmt":"2020-11-18T20:00:37","guid":{"rendered":"http:\/\/localhost\/testsite\/?page_id=29"},"modified":"2022-05-18T16:58:53","modified_gmt":"2022-05-18T16:58:53","slug":"publications","status":"publish","type":"page","link":"https:\/\/sysbiosig.org\/index.php\/publications\/","title":{"rendered":"Selected Publications"},"content":{"rendered":"\n

Making sense of BMP signaling complexity<\/a>
<\/strong>Komorowski M.
Cell systems, 2022.<\/a><\/strong><\/p>\n\n\n\n

Phenotypic variability, not noise, accounts for most of the cell-to-cell heterogeneity in IFN-\u03b3 and oncostatin M signaling responses<\/a>
<\/strong>Topolewski P, Zakrzewska KE, Walczak J, Niena\u0142towski K, M\u00fcller-Newen G, Singh A, Komorowski M.
Science Signaling, 2022.<\/p>\n\n\n\n

The tyrosine phosphatase SHP2 increases robustness and information transfer within IL-6-induced JAK\/STAT signalling
<\/a><\/strong>Fiebelkow J, Guendel A, Guendel B, Mehwald N, Jetka T, Komorowski M, Waldherr A, Schaper F, Dittrich A
Cell Communication and Signaling, 2021.<\/p>\n\n\n\n

Information-theoretic analyses of cellular strategies for achieving high signaling capacity \u2014 dynamics, cross-wiring and heterogeneity of cellular states<\/a>
<\/strong>Topolewski P, Komorowski M.
Current Opinion in Systems Biology, 2021.<\/p>\n\n\n\n

Fractional response analysis reveals logarithmic cytokine responses in cellular populations<\/a>
<\/strong>Nienaltowski K, Rigby RE, Walczak J, Zakrzewska KE, G\u0142\u00f3w E, Rehwinkel J, Komorowski M.
Nature Communications, 2021.<\/p>\n\n\n\n

Information-theoretic analysis of multivariate single-cell signaling responses<\/a>
<\/strong>Jetka T, Nienaltowski K, Winarski T, Blonski S, Komorowski M.
PLOS Computational Biology, 2019.<\/p>\n\n\n\n

The Limited Information Capacity of Cross-Reactive Sensors Drives the Evolutionary Expansion of Signaling
<\/a><\/strong>Komorowski M, Tawfik DS.
Cell Systems, 2019.<\/p>\n\n\n\n

Robustness and Information Transfer within IL-6-induced JAK\/STAT Signalling <\/strong><\/a>
Billing U, Jetka T, Nortmann L, Wundrack N, Komorowski M, Waldherr S, Schaper F, Dittrich A,
Communications Biology, 2019.<\/p>\n\n\n\n

An information-theoretic framework for deciphering pleiotropic and noisy biochemical signaling<\/strong><\/a>
Jetka T, Niena\u0142towski K, Filippi S, Stumpf M, Komorowski M.
Nature Communications, 2018.<\/p>\n\n\n\n

Sensitivity Analysis<\/strong><\/a>
Niena\u0142towski K, Jetka T, Komorowski M.
Contributed chapter in Quantitative Biology: Theory, Computational Methods and Examples of Models<\/em>, MIT press, 2018.<\/p>\n\n\n\n

Experimental Design<\/strong><\/a>
Jetka T, Niena\u0142towski K, Komorowski M.
Contributed chapter in Quantitative Biology: Theory, Computational Methods and Examples of Models<\/em>, MIT press, 2018.<\/p>\n\n\n\n

Nuclear translocation of STAT3 and NF-\u03baB are independent of each other but NF-\u03baB supports expression and activation of STAT3<\/strong><\/a>
Martincuks A, Andryka K, K\u00fcster A, Schmitz-Van de Leur H, Komorowski M, & M\u00fcller-Newen G.
Cellular signalling, 2017.<\/p>\n\n\n\n

Clustering reveals limits of parameter identifiability in multi-parameter models of biochemical dynamics<\/strong><\/a>
Niena\u0142towski K, W\u0142odarczyk M, Lipniacki T, Komorowski M.
BMC Systems Biology, 2015.<\/p>\n\n\n\n

Computational modeling of sphingolipid metabolism<\/strong><\/a>
Wronowska W,Charzy\u0144ska A, Niena\u0142towski K, Gambin A.
BMC Systems Biology, 2015.<\/p>\n\n\n\n

Analog nitrogen sensing in Escherichia coli enables high fidelity information processing<\/a><\/strong>
Komorowski M, Schumacher J, Behrends V, Jetka T, Bennett MH, Ale A, Filippi S, Pinney JW, Bundy JG, Buck M, Stumpf MPH.
BioRxiv preprint, 2015.<\/p>\n\n\n\n

Nitrogen and carbon status are integrated at the transcriptional level by the nitrogen regulator NtrC in vivo<\/strong><\/a>
Schumacher J, Behrends V, Pan Z, Brown DR, Heydenreich F, Lewis MR, Bennett MH, Razzaghi B, Komorowski M, Barahona M, Stumpf MPH, Wigneshweraraj S, Bundy JG, Buck M.
mBio, 2013.<\/p>\n\n\n\n

StochDecomp \u2013 Matlab package for noise decomposition in stochastic biochemical systems<\/strong><\/a>
Jetka T., Charzynska A.,Gambin A., Stumpf M.P.H., Komorowski M.
Bioinformatics.  2013.<\/p>\n\n\n\n

Quantifying intrinsic and extrinsic noise in gene transcription using the linear noise approximation: an application to single cell data<\/strong><\/a>
Finkenstadt BF, Woodcock DJ, Komorowski M.,  Harper CV, Davis JRE, White MRH and Rand DA
Annals of Applied Statistics. 2013.<\/p>\n\n\n\n

A hierarchical model of transcriptional dynamics allows robust estimation of transcription rates in populations of single cells with variable gene copy number<\/strong><\/a>
Woodcock DJ, Vance KW, Komorowski M, Koentges G, Finkenstad B,  Rand DA
Bioinformatics. 2013.<\/p>\n\n\n\n

Decomposing Noise in Biochemical Signalling Systems Highlights the Role of Protein Degradation<\/a><\/strong>
Komorowski M, Miekisz J, Stumpf MPH.
Biophys. J. 2013.<\/p>\n\n\n\n

Maximising the information content of experiments in systems biology<\/strong><\/a>
Liepe J, Filippi S, Komorowski M, Stumpf MPH,
PLOS Comp Biol. 2013.<\/p>\n\n\n\n

Mathematical modeling reveals the functional implications of the different nuclear shuttling rates of Erk1 and Erk2.<\/strong><\/a>
Harrington HA, Komorowski M, Beguerisse D\u00edaz M, Ratto GM, Stumpf MPH,
Phys Biol. 2012.<\/p>\n\n\n\n

StochSens\u2013 matlab package for sensitivity analysis of stochastic chemical systems<\/strong><\/a>
Komorowski M, Zurauskiene J, Stumpf MP.
Bioinformatics. 2012.<\/p>\n\n\n\n

Sensitivity, robustness, and identifiability in stochastic chemical kinetics models<\/strong><\/a>
Komorowski M, Costa MJ, Rand DA, Stumpf MP.
Proc Natl Acad Sci U S A. 2011.<\/p>\n\n\n\n

Using a single fluorescent reporter gene to infer half-life of extrinsic noise and other parameters of gene expression<\/strong>.<\/a>
Komorowski M, Finkenst\u00e4dt B, Rand D.
Biophys J. 2010.<\/p>\n\n\n\n

Bayesian inference of biochemical kinetic parameters using the linear noise approximation<\/strong><\/a>
Komorowski M, Finkenst\u00e4dt B, Harper CV, Rand DA.
BMC Bioinformatics. 2009.<\/p>\n\n\n\n

Translational repression contributes greater noise to gene expression than transcriptional repression<\/strong><\/a>
Komorowski M, Miekisz J, Kierzek AM.
Biophys J. 2009.<\/p>\n\n\n\n

Reconstruction of transcriptional dynamics from gene reporter data using differential equations<\/strong>.<\/a>
Finkenst\u00e4dt B, Heron EA, Komorowski M, Edwards K, Tang S, Harper CV, Davis JR, White MR, Millar AJ, Rand DA.
Bioinformatics. 2008.<\/p>\n","protected":false},"excerpt":{"rendered":"

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