Information transfer in signaling pathways : a study using coupled simulated and experimental data

The topology of signaling cascades has been studied in quite some detail. However, how information is processed exactly is still relatively unknown. Since quite diverse information has to be transported by one and the same signaling cascade (e.g. in case of different agonists), it is clear that the...
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Gespeichert in:

Autor*in:	Pahle, Jürgen - 1976- [verfasserIn] Kummer, Ursula - 1967- [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	4 March 2008

Anmerkung:	Gesehen am 24.05.2017
Umfang:	14

Übergeordnetes Werk:	Enthalten in: BMC bioinformatics - London : BioMed Central, 2000, 9(2008) Artikel-Nummer 130, 14 Seiten
Übergeordnetes Werk:	volume:9 ; year:2008 ; extent:14

Links:	Volltext

DOI / URN:	10.1186/1471-2105-9-139

Katalog-ID:	1558951113

Internformat


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publishDate	2008
allfields	10.1186/1471-2105-9-139 doi (DE-627)1558951113 (DE-576)488951119 (DE-599)BSZ488951119 (OCoLC)1340975730 DE-627 ger DE-627 rda eng Pahle, Jürgen 1976- verfasserin (DE-588)136080243 (DE-627)577146467 (DE-576)300819382 aut Information transfer in signaling pathways a study using coupled simulated and experimental data Jürgen Pahle, Anne K. Green, C. Jane Dixon and Ursula Kummer 4 March 2008 14 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Gesehen am 24.05.2017 The topology of signaling cascades has been studied in quite some detail. However, how information is processed exactly is still relatively unknown. Since quite diverse information has to be transported by one and the same signaling cascade (e.g. in case of different agonists), it is clear that the underlying mechanism is more complex than a simple binary switch which relies on the mere presence or absence of a particular species. Therefore, finding means to analyze the information transferred will help in deciphering how information is processed exactly in the cell. Using the information-theoretic measure transfer entropy, we studied the properties of information transfer in an example case, namely calcium signaling under different cellular conditions. Transfer entropy is an asymmetric and dynamic measure of the dependence of two (nonlinear) stochastic processes. We used calcium signaling since it is a well-studied example of complex cellular signaling. It has been suggested that specific information is encoded in the amplitude, frequency and waveform of the oscillatory Ca2+-signal. Kummer, Ursula 1967- verfasserin (DE-588)115411682 (DE-627)691297975 (DE-576)176480897 aut Enthalten in BMC bioinformatics London : BioMed Central, 2000 9(2008) Artikel-Nummer 130, 14 Seiten Online-Ressource (DE-627)326644814 (DE-600)2041484-5 (DE-576)107014688 1471-2105 nnns volume:9 year:2008 extent:14 http://dx.doi.org/10.1186/1471-2105-9-139 Verlag Resolving-System kostenfrei Volltext GBV_USEFLAG_U GBV_ILN_2013 ISIL_DE-16-250 SYSFLAG_1 GBV_KXP GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 GBV_ILN_2403 GBV_ILN_2403 ISIL_DE-LFER AR 9 2008 14 9(2008) Artikel-Nummer 130, 14 Seiten 2013 01 DE-16-250 2970172607 00 --%%-- --%%-- --%%-- --%%-- l01 24-05-17 2403 01 DE-LFER 2971465063 00 --%%-- --%%-- n --%%-- l01 08-06-17 2403 01 DE-LFER http://dx.doi.org/10.1186/1471-2105-9-139 2013 01 DE-16-250 00 s hd2008 2013 01 DE-16-250 01 s (DE-627)1410508463 wissenschaftlicher Artikel (Zeitschrift) 2013 01 DE-16-250 02 s per_4 2013 01 DE-16-250 03 s s_14 2013 01 DE-16-250 04 p (DE-627)1558617299 Pahle, Jürgen 2013 01 DE-16-250 04 k (DE-627)1416734031 BIOQUANT 2013 01 DE-16-250 04 s (DE-627)1410501914 Verfasser 2013 01 DE-16-250 04 s pos_1 2013 01 DE-16-250 05 p (DE-627)1497999472 Kummer, Ursula 2013 01 DE-16-250 05 k (DE-627)1416734031 BIOQUANT 2013 01 DE-16-250 05 s (DE-627)1410501914 Verfasser 2013 01 DE-16-250 05 s pos_4
spelling	10.1186/1471-2105-9-139 doi (DE-627)1558951113 (DE-576)488951119 (DE-599)BSZ488951119 (OCoLC)1340975730 DE-627 ger DE-627 rda eng Pahle, Jürgen 1976- verfasserin (DE-588)136080243 (DE-627)577146467 (DE-576)300819382 aut Information transfer in signaling pathways a study using coupled simulated and experimental data Jürgen Pahle, Anne K. Green, C. Jane Dixon and Ursula Kummer 4 March 2008 14 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Gesehen am 24.05.2017 The topology of signaling cascades has been studied in quite some detail. However, how information is processed exactly is still relatively unknown. Since quite diverse information has to be transported by one and the same signaling cascade (e.g. in case of different agonists), it is clear that the underlying mechanism is more complex than a simple binary switch which relies on the mere presence or absence of a particular species. Therefore, finding means to analyze the information transferred will help in deciphering how information is processed exactly in the cell. Using the information-theoretic measure transfer entropy, we studied the properties of information transfer in an example case, namely calcium signaling under different cellular conditions. Transfer entropy is an asymmetric and dynamic measure of the dependence of two (nonlinear) stochastic processes. We used calcium signaling since it is a well-studied example of complex cellular signaling. It has been suggested that specific information is encoded in the amplitude, frequency and waveform of the oscillatory Ca2+-signal. Kummer, Ursula 1967- verfasserin (DE-588)115411682 (DE-627)691297975 (DE-576)176480897 aut Enthalten in BMC bioinformatics London : BioMed Central, 2000 9(2008) Artikel-Nummer 130, 14 Seiten Online-Ressource (DE-627)326644814 (DE-600)2041484-5 (DE-576)107014688 1471-2105 nnns volume:9 year:2008 extent:14 http://dx.doi.org/10.1186/1471-2105-9-139 Verlag Resolving-System kostenfrei Volltext GBV_USEFLAG_U GBV_ILN_2013 ISIL_DE-16-250 SYSFLAG_1 GBV_KXP GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 GBV_ILN_2403 GBV_ILN_2403 ISIL_DE-LFER AR 9 2008 14 9(2008) Artikel-Nummer 130, 14 Seiten 2013 01 DE-16-250 2970172607 00 --%%-- --%%-- --%%-- --%%-- l01 24-05-17 2403 01 DE-LFER 2971465063 00 --%%-- --%%-- n --%%-- l01 08-06-17 2403 01 DE-LFER http://dx.doi.org/10.1186/1471-2105-9-139 2013 01 DE-16-250 00 s hd2008 2013 01 DE-16-250 01 s (DE-627)1410508463 wissenschaftlicher Artikel (Zeitschrift) 2013 01 DE-16-250 02 s per_4 2013 01 DE-16-250 03 s s_14 2013 01 DE-16-250 04 p (DE-627)1558617299 Pahle, Jürgen 2013 01 DE-16-250 04 k (DE-627)1416734031 BIOQUANT 2013 01 DE-16-250 04 s (DE-627)1410501914 Verfasser 2013 01 DE-16-250 04 s pos_1 2013 01 DE-16-250 05 p (DE-627)1497999472 Kummer, Ursula 2013 01 DE-16-250 05 k (DE-627)1416734031 BIOQUANT 2013 01 DE-16-250 05 s (DE-627)1410501914 Verfasser 2013 01 DE-16-250 05 s pos_4
allfields_unstemmed	10.1186/1471-2105-9-139 doi (DE-627)1558951113 (DE-576)488951119 (DE-599)BSZ488951119 (OCoLC)1340975730 DE-627 ger DE-627 rda eng Pahle, Jürgen 1976- verfasserin (DE-588)136080243 (DE-627)577146467 (DE-576)300819382 aut Information transfer in signaling pathways a study using coupled simulated and experimental data Jürgen Pahle, Anne K. Green, C. Jane Dixon and Ursula Kummer 4 March 2008 14 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Gesehen am 24.05.2017 The topology of signaling cascades has been studied in quite some detail. However, how information is processed exactly is still relatively unknown. Since quite diverse information has to be transported by one and the same signaling cascade (e.g. in case of different agonists), it is clear that the underlying mechanism is more complex than a simple binary switch which relies on the mere presence or absence of a particular species. Therefore, finding means to analyze the information transferred will help in deciphering how information is processed exactly in the cell. Using the information-theoretic measure transfer entropy, we studied the properties of information transfer in an example case, namely calcium signaling under different cellular conditions. Transfer entropy is an asymmetric and dynamic measure of the dependence of two (nonlinear) stochastic processes. We used calcium signaling since it is a well-studied example of complex cellular signaling. It has been suggested that specific information is encoded in the amplitude, frequency and waveform of the oscillatory Ca2+-signal. Kummer, Ursula 1967- verfasserin (DE-588)115411682 (DE-627)691297975 (DE-576)176480897 aut Enthalten in BMC bioinformatics London : BioMed Central, 2000 9(2008) Artikel-Nummer 130, 14 Seiten Online-Ressource (DE-627)326644814 (DE-600)2041484-5 (DE-576)107014688 1471-2105 nnns volume:9 year:2008 extent:14 http://dx.doi.org/10.1186/1471-2105-9-139 Verlag Resolving-System kostenfrei Volltext GBV_USEFLAG_U GBV_ILN_2013 ISIL_DE-16-250 SYSFLAG_1 GBV_KXP GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 GBV_ILN_2403 GBV_ILN_2403 ISIL_DE-LFER AR 9 2008 14 9(2008) Artikel-Nummer 130, 14 Seiten 2013 01 DE-16-250 2970172607 00 --%%-- --%%-- --%%-- --%%-- l01 24-05-17 2403 01 DE-LFER 2971465063 00 --%%-- --%%-- n --%%-- l01 08-06-17 2403 01 DE-LFER http://dx.doi.org/10.1186/1471-2105-9-139 2013 01 DE-16-250 00 s hd2008 2013 01 DE-16-250 01 s (DE-627)1410508463 wissenschaftlicher Artikel (Zeitschrift) 2013 01 DE-16-250 02 s per_4 2013 01 DE-16-250 03 s s_14 2013 01 DE-16-250 04 p (DE-627)1558617299 Pahle, Jürgen 2013 01 DE-16-250 04 k (DE-627)1416734031 BIOQUANT 2013 01 DE-16-250 04 s (DE-627)1410501914 Verfasser 2013 01 DE-16-250 04 s pos_1 2013 01 DE-16-250 05 p (DE-627)1497999472 Kummer, Ursula 2013 01 DE-16-250 05 k (DE-627)1416734031 BIOQUANT 2013 01 DE-16-250 05 s (DE-627)1410501914 Verfasser 2013 01 DE-16-250 05 s pos_4
allfieldsGer	10.1186/1471-2105-9-139 doi (DE-627)1558951113 (DE-576)488951119 (DE-599)BSZ488951119 (OCoLC)1340975730 DE-627 ger DE-627 rda eng Pahle, Jürgen 1976- verfasserin (DE-588)136080243 (DE-627)577146467 (DE-576)300819382 aut Information transfer in signaling pathways a study using coupled simulated and experimental data Jürgen Pahle, Anne K. Green, C. Jane Dixon and Ursula Kummer 4 March 2008 14 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Gesehen am 24.05.2017 The topology of signaling cascades has been studied in quite some detail. However, how information is processed exactly is still relatively unknown. Since quite diverse information has to be transported by one and the same signaling cascade (e.g. in case of different agonists), it is clear that the underlying mechanism is more complex than a simple binary switch which relies on the mere presence or absence of a particular species. Therefore, finding means to analyze the information transferred will help in deciphering how information is processed exactly in the cell. Using the information-theoretic measure transfer entropy, we studied the properties of information transfer in an example case, namely calcium signaling under different cellular conditions. Transfer entropy is an asymmetric and dynamic measure of the dependence of two (nonlinear) stochastic processes. We used calcium signaling since it is a well-studied example of complex cellular signaling. It has been suggested that specific information is encoded in the amplitude, frequency and waveform of the oscillatory Ca2+-signal. Kummer, Ursula 1967- verfasserin (DE-588)115411682 (DE-627)691297975 (DE-576)176480897 aut Enthalten in BMC bioinformatics London : BioMed Central, 2000 9(2008) Artikel-Nummer 130, 14 Seiten Online-Ressource (DE-627)326644814 (DE-600)2041484-5 (DE-576)107014688 1471-2105 nnns volume:9 year:2008 extent:14 http://dx.doi.org/10.1186/1471-2105-9-139 Verlag Resolving-System kostenfrei Volltext GBV_USEFLAG_U GBV_ILN_2013 ISIL_DE-16-250 SYSFLAG_1 GBV_KXP GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 GBV_ILN_2403 GBV_ILN_2403 ISIL_DE-LFER AR 9 2008 14 9(2008) Artikel-Nummer 130, 14 Seiten 2013 01 DE-16-250 2970172607 00 --%%-- --%%-- --%%-- --%%-- l01 24-05-17 2403 01 DE-LFER 2971465063 00 --%%-- --%%-- n --%%-- l01 08-06-17 2403 01 DE-LFER http://dx.doi.org/10.1186/1471-2105-9-139 2013 01 DE-16-250 00 s hd2008 2013 01 DE-16-250 01 s (DE-627)1410508463 wissenschaftlicher Artikel (Zeitschrift) 2013 01 DE-16-250 02 s per_4 2013 01 DE-16-250 03 s s_14 2013 01 DE-16-250 04 p (DE-627)1558617299 Pahle, Jürgen 2013 01 DE-16-250 04 k (DE-627)1416734031 BIOQUANT 2013 01 DE-16-250 04 s (DE-627)1410501914 Verfasser 2013 01 DE-16-250 04 s pos_1 2013 01 DE-16-250 05 p (DE-627)1497999472 Kummer, Ursula 2013 01 DE-16-250 05 k (DE-627)1416734031 BIOQUANT 2013 01 DE-16-250 05 s (DE-627)1410501914 Verfasser 2013 01 DE-16-250 05 s pos_4
allfieldsSound	10.1186/1471-2105-9-139 doi (DE-627)1558951113 (DE-576)488951119 (DE-599)BSZ488951119 (OCoLC)1340975730 DE-627 ger DE-627 rda eng Pahle, Jürgen 1976- verfasserin (DE-588)136080243 (DE-627)577146467 (DE-576)300819382 aut Information transfer in signaling pathways a study using coupled simulated and experimental data Jürgen Pahle, Anne K. Green, C. Jane Dixon and Ursula Kummer 4 March 2008 14 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Gesehen am 24.05.2017 The topology of signaling cascades has been studied in quite some detail. However, how information is processed exactly is still relatively unknown. Since quite diverse information has to be transported by one and the same signaling cascade (e.g. in case of different agonists), it is clear that the underlying mechanism is more complex than a simple binary switch which relies on the mere presence or absence of a particular species. Therefore, finding means to analyze the information transferred will help in deciphering how information is processed exactly in the cell. Using the information-theoretic measure transfer entropy, we studied the properties of information transfer in an example case, namely calcium signaling under different cellular conditions. Transfer entropy is an asymmetric and dynamic measure of the dependence of two (nonlinear) stochastic processes. We used calcium signaling since it is a well-studied example of complex cellular signaling. It has been suggested that specific information is encoded in the amplitude, frequency and waveform of the oscillatory Ca2+-signal. Kummer, Ursula 1967- verfasserin (DE-588)115411682 (DE-627)691297975 (DE-576)176480897 aut Enthalten in BMC bioinformatics London : BioMed Central, 2000 9(2008) Artikel-Nummer 130, 14 Seiten Online-Ressource (DE-627)326644814 (DE-600)2041484-5 (DE-576)107014688 1471-2105 nnns volume:9 year:2008 extent:14 http://dx.doi.org/10.1186/1471-2105-9-139 Verlag Resolving-System kostenfrei Volltext GBV_USEFLAG_U GBV_ILN_2013 ISIL_DE-16-250 SYSFLAG_1 GBV_KXP GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 GBV_ILN_2403 GBV_ILN_2403 ISIL_DE-LFER AR 9 2008 14 9(2008) Artikel-Nummer 130, 14 Seiten 2013 01 DE-16-250 2970172607 00 --%%-- --%%-- --%%-- --%%-- l01 24-05-17 2403 01 DE-LFER 2971465063 00 --%%-- --%%-- n --%%-- l01 08-06-17 2403 01 DE-LFER http://dx.doi.org/10.1186/1471-2105-9-139 2013 01 DE-16-250 00 s hd2008 2013 01 DE-16-250 01 s (DE-627)1410508463 wissenschaftlicher Artikel (Zeitschrift) 2013 01 DE-16-250 02 s per_4 2013 01 DE-16-250 03 s s_14 2013 01 DE-16-250 04 p (DE-627)1558617299 Pahle, Jürgen 2013 01 DE-16-250 04 k (DE-627)1416734031 BIOQUANT 2013 01 DE-16-250 04 s (DE-627)1410501914 Verfasser 2013 01 DE-16-250 04 s pos_1 2013 01 DE-16-250 05 p (DE-627)1497999472 Kummer, Ursula 2013 01 DE-16-250 05 k (DE-627)1416734031 BIOQUANT 2013 01 DE-16-250 05 s (DE-627)1410501914 Verfasser 2013 01 DE-16-250 05 s pos_4
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title	Information transfer in signaling pathways a study using coupled simulated and experimental data
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title_full	Information transfer in signaling pathways a study using coupled simulated and experimental data Jürgen Pahle, Anne K. Green, C. Jane Dixon and Ursula Kummer
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title_sub	a study using coupled simulated and experimental data
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title_sort	information transfer in signaling pathwaysa study using coupled simulated and experimental data
title_auth	Information transfer in signaling pathways a study using coupled simulated and experimental data
abstract	The topology of signaling cascades has been studied in quite some detail. However, how information is processed exactly is still relatively unknown. Since quite diverse information has to be transported by one and the same signaling cascade (e.g. in case of different agonists), it is clear that the underlying mechanism is more complex than a simple binary switch which relies on the mere presence or absence of a particular species. Therefore, finding means to analyze the information transferred will help in deciphering how information is processed exactly in the cell. Using the information-theoretic measure transfer entropy, we studied the properties of information transfer in an example case, namely calcium signaling under different cellular conditions. Transfer entropy is an asymmetric and dynamic measure of the dependence of two (nonlinear) stochastic processes. We used calcium signaling since it is a well-studied example of complex cellular signaling. It has been suggested that specific information is encoded in the amplitude, frequency and waveform of the oscillatory Ca2+-signal. Gesehen am 24.05.2017
abstractGer	The topology of signaling cascades has been studied in quite some detail. However, how information is processed exactly is still relatively unknown. Since quite diverse information has to be transported by one and the same signaling cascade (e.g. in case of different agonists), it is clear that the underlying mechanism is more complex than a simple binary switch which relies on the mere presence or absence of a particular species. Therefore, finding means to analyze the information transferred will help in deciphering how information is processed exactly in the cell. Using the information-theoretic measure transfer entropy, we studied the properties of information transfer in an example case, namely calcium signaling under different cellular conditions. Transfer entropy is an asymmetric and dynamic measure of the dependence of two (nonlinear) stochastic processes. We used calcium signaling since it is a well-studied example of complex cellular signaling. It has been suggested that specific information is encoded in the amplitude, frequency and waveform of the oscillatory Ca2+-signal. Gesehen am 24.05.2017
abstract_unstemmed	The topology of signaling cascades has been studied in quite some detail. However, how information is processed exactly is still relatively unknown. Since quite diverse information has to be transported by one and the same signaling cascade (e.g. in case of different agonists), it is clear that the underlying mechanism is more complex than a simple binary switch which relies on the mere presence or absence of a particular species. Therefore, finding means to analyze the information transferred will help in deciphering how information is processed exactly in the cell. Using the information-theoretic measure transfer entropy, we studied the properties of information transfer in an example case, namely calcium signaling under different cellular conditions. Transfer entropy is an asymmetric and dynamic measure of the dependence of two (nonlinear) stochastic processes. We used calcium signaling since it is a well-studied example of complex cellular signaling. It has been suggested that specific information is encoded in the amplitude, frequency and waveform of the oscillatory Ca2+-signal. Gesehen am 24.05.2017
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title_short	Information transfer in signaling pathways
url	http://dx.doi.org/10.1186/1471-2105-9-139
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doi_str	10.1186/1471-2105-9-139
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up_date	2024-07-04T11:17:29.050Z
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Information transfer in signaling pathways : a study using coupled simulated and experimental data

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