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Items: 33

1.

Critical Transitions in Intensive Care Units: A Sepsis Case Study.

Ghalati PF, Samal SS, Bhat JS, Deisz R, Marx G, Schuppert A.

Sci Rep. 2019 Sep 9;9(1):12888. doi: 10.1038/s41598-019-49006-2.

2.

FORESEE: a tool for the systematic comparison of translational drug response modeling pipelines.

Turnhoff LK, Hadizadeh Esfahani A, Montazeri M, Kusch N, Schuppert A.

Bioinformatics. 2019 Mar 1. pii: btz145. doi: 10.1093/bioinformatics/btz145. [Epub ahead of print]

PMID:
30821320
3.

From hype to reality: data science enabling personalized medicine.

Fröhlich H, Balling R, Beerenwinkel N, Kohlbacher O, Kumar S, Lengauer T, Maathuis MH, Moreau Y, Murphy SA, Przytycka TM, Rebhan M, Röst H, Schuppert A, Schwab M, Spang R, Stekhoven D, Sun J, Weber A, Ziemek D, Zupan B.

BMC Med. 2018 Aug 27;16(1):150. doi: 10.1186/s12916-018-1122-7.

4.

Smart Medical Information Technology for Healthcare (SMITH).

Winter A, Stäubert S, Ammon D, Aiche S, Beyan O, Bischoff V, Daumke P, Decker S, Funkat G, Gewehr JE, de Greiff A, Haferkamp S, Hahn U, Henkel A, Kirsten T, Klöss T, Lippert J, Löbe M, Lowitsch V, Maassen O, Maschmann J, Meister S, Mikolajczyk R, Nüchter M, Pletz MW, Rahm E, Riedel M, Saleh K, Schuppert A, Smers S, Stollenwerk A, Uhlig S, Wendt T, Zenker S, Fleig W, Marx G, Scherag A, Löffler M.

Methods Inf Med. 2018 Jul;57(S 01):e92-e105. doi: 10.3414/ME18-02-0004. Epub 2018 Jul 17.

5.

Whither systems medicine?

Apweiler R, Beissbarth T, Berthold MR, Blüthgen N, Burmeister Y, Dammann O, Deutsch A, Feuerhake F, Franke A, Hasenauer J, Hoffmann S, Höfer T, Jansen PL, Kaderali L, Klingmüller U, Koch I, Kohlbacher O, Kuepfer L, Lammert F, Maier D, Pfeifer N, Radde N, Rehm M, Roeder I, Saez-Rodriguez J, Sax U, Schmeck B, Schuppert A, Seilheimer B, Theis FJ, Vera J, Wolkenhauer O.

Exp Mol Med. 2018 Mar 2;50(3):e453. doi: 10.1038/emm.2017.290. Review.

6.

A systematic atlas of chaperome deregulation topologies across the human cancer landscape.

Hadizadeh Esfahani A, Sverchkova A, Saez-Rodriguez J, Schuppert AA, Brehme M.

PLoS Comput Biol. 2018 Jan 2;14(1):e1005890. doi: 10.1371/journal.pcbi.1005890. eCollection 2018 Jan.

7.

Inflammatory processes during acute respiratory distress syndrome: a complex system.

Reiss LK, Schuppert A, Uhlig S.

Curr Opin Crit Care. 2018 Feb;24(1):1-9. doi: 10.1097/MCC.0000000000000472. Review.

PMID:
29176329
8.

Stem Cell Differentiation as a Non-Markov Stochastic Process.

Stumpf PS, Smith RCG, Lenz M, Schuppert A, Müller FJ, Babtie A, Chan TE, Stumpf MPH, Please CP, Howison SD, Arai F, MacArthur BD.

Cell Syst. 2017 Sep 27;5(3):268-282.e7. doi: 10.1016/j.cels.2017.08.009.

9.

Physiologically-based modelling in mice suggests an aggravated loss of clearance capacity after toxic liver damage.

Schenk A, Ghallab A, Hofmann U, Hassan R, Schwarz M, Schuppert A, Schwen LO, Braeuning A, Teutonico D, Hengstler JG, Kuepfer L.

Sci Rep. 2017 Jul 24;7(1):6224. doi: 10.1038/s41598-017-04574-z.

10.

Translational learning from clinical studies predicts drug pharmacokinetics across patient populations.

Krauss M, Hofmann U, Schafmayer C, Igel S, Schlender J, Mueller C, Brosch M, von Schoenfels W, Erhart W, Schuppert A, Block M, Schaeffeler E, Boehmer G, Goerlitz L, Hoecker J, Lippert J, Kerb R, Hampe J, Kuepfer L, Schwab M.

NPJ Syst Biol Appl. 2017 Mar 28;3:11. doi: 10.1038/s41540-017-0012-5. eCollection 2017.

11.

Principal components analysis and the reported low intrinsic dimensionality of gene expression microarray data.

Lenz M, Müller FJ, Zenke M, Schuppert A.

Sci Rep. 2016 Jun 2;6:25696. doi: 10.1038/srep25696.

12.

Combined Population Dynamics and Entropy Modelling Supports Patient Stratification in Chronic Myeloid Leukemia.

Brehme M, Koschmieder S, Montazeri M, Copland M, Oehler VG, Radich JP, Brümmendorf TH, Schuppert A.

Sci Rep. 2016 Apr 6;6:24057. doi: 10.1038/srep24057.

13.

Systems Medicine in Pharmaceutical Research and Development.

Kuepfer L, Schuppert A.

Methods Mol Biol. 2016;1386:87-104. doi: 10.1007/978-1-4939-3283-2_6. Review.

PMID:
26677181
14.

Robust PBPK/PD-Based Model Predictive Control of Blood Glucose.

Schaller S, Lippert J, Schaupp L, Pieber TR, Schuppert A, Eissing T.

IEEE Trans Biomed Eng. 2016 Jul;63(7):1492-504. doi: 10.1109/TBME.2015.2497273. Epub 2015 Nov 2.

PMID:
26552072
15.

Bayesian Population Physiologically-Based Pharmacokinetic (PBPK) Approach for a Physiologically Realistic Characterization of Interindividual Variability in Clinically Relevant Populations.

Krauss M, Tappe K, Schuppert A, Kuepfer L, Goerlitz L.

PLoS One. 2015 Oct 2;10(10):e0139423. doi: 10.1371/journal.pone.0139423. eCollection 2015.

16.

Stability of Fe-N-C Catalysts in Acidic Medium Studied by Operando Spectroscopy.

Choi CH, Baldizzone C, Grote JP, Schuppert AK, Jaouen F, Mayrhofer KJ.

Angew Chem Int Ed Engl. 2015 Oct 19;54(43):12753-7. doi: 10.1002/anie.201504903. Epub 2015 Aug 28.

PMID:
26314711
17.

Inkjet Fabrication of Copper Patterns for Flexible Electronics: Using Paper with Active Precoatings.

Öhlund T, Schuppert AK, Hummelgård M, Bäckström J, Nilsson HE, Olin H.

ACS Appl Mater Interfaces. 2015 Aug 26;7(33):18273-82. doi: 10.1021/acsami.5b03061. Epub 2015 Aug 13.

PMID:
26245645
18.

Investigation of potential traces of pluripotency in germinal-center-derived B-cell lymphomas driven by MYC.

Wagener R, Lenz M, Schuldt B, Lenz I, Schuppert A, Siebert R, Müller FJ.

Blood Cancer J. 2015 May 29;5:e317. doi: 10.1038/bcj.2015.40. No abstract available.

19.

Epigenetic biomarker to support classification into pluripotent and non-pluripotent cells.

Lenz M, Goetzke R, Schenk A, Schubert C, Veeck J, Hemeda H, Koschmieder S, Zenke M, Schuppert A, Wagner W.

Sci Rep. 2015 Mar 10;5:8973. doi: 10.1038/srep08973.

20.

Confined-space alloying of nanoparticles for the synthesis of efficient PtNi fuel-cell catalysts.

Baldizzone C, Mezzavilla S, Carvalho HW, Meier JC, Schuppert AK, Heggen M, Galeano C, Grunwaldt JD, Schüth F, Mayrhofer KJ.

Angew Chem Int Ed Engl. 2014 Dec 15;53(51):14250-4. doi: 10.1002/anie.201406812. Epub 2014 Oct 29.

PMID:
25354360
21.

Degradation of Fe/N/C catalysts upon high polarization in acid medium.

Goellner V, Baldizzone C, Schuppert A, Sougrati MT, Mayrhofer K, Jaouen F.

Phys Chem Chem Phys. 2014 Sep 14;16(34):18454-62. doi: 10.1039/c4cp02882a.

PMID:
25070913
22.

Enabling multiscale modeling in systems medicine.

Wolkenhauer O, Auffray C, Brass O, Clairambault J, Deutsch A, Drasdo D, Gervasio F, Preziosi L, Maini P, Marciniak-Czochra A, Kossow C, Kuepfer L, Rateitschak K, Ramis-Conde I, Ribba B, Schuppert A, Smallwood R, Stamatakos G, Winter F, Byrne H.

Genome Med. 2014 Mar 21;6(3):21. doi: 10.1186/gm538. eCollection 2014. No abstract available.

23.

A 'telomere-associated secretory phenotype' cooperates with BCR-ABL to drive malignant proliferation of leukemic cells.

Braig M, Pällmann N, Preukschas M, Steinemann D, Hofmann W, Gompf A, Streichert T, Braunschweig T, Copland M, Rudolph KL, Bokemeyer C, Koschmieder S, Schuppert A, Balabanov S, Brümmendorf TH.

Leukemia. 2014 Oct;28(10):2028-39. doi: 10.1038/leu.2014.95. Epub 2014 Mar 7.

PMID:
24603533
24.

PhysioSpace: relating gene expression experiments from heterogeneous sources using shared physiological processes.

Lenz M, Schuldt BM, Müller FJ, Schuppert A.

PLoS One. 2013 Oct 17;8(10):e77627. doi: 10.1371/journal.pone.0077627. eCollection 2013.

25.

A Generic Integrated Physiologically based Whole-body Model of the Glucose-Insulin-Glucagon Regulatory System.

Schaller S, Willmann S, Lippert J, Schaupp L, Pieber TR, Schuppert A, Eissing T.

CPT Pharmacometrics Syst Pharmacol. 2013 Aug 14;2:e65. doi: 10.1038/psp.2013.40.

26.

Combination of a proteomics approach and reengineering of meso scale network models for prediction of mode-of-action for tyrosine kinase inhibitors.

Balabanov S, Wilhelm T, Venz S, Keller G, Scharf C, Pospisil H, Braig M, Barett C, Bokemeyer C, Walther R, Brümmendorf TH, Schuppert A.

PLoS One. 2013;8(1):e53668. doi: 10.1371/journal.pone.0053668. Epub 2013 Jan 9.

27.

Power-laws and the use of pluripotent stem cell lines.

Schuldt BM, Guhr A, Lenz M, Kobold S, MacArthur BD, Schuppert A, Löser P, Müller FJ.

PLoS One. 2013;8(1):e52068. doi: 10.1371/journal.pone.0052068. Epub 2013 Jan 2.

28.

Using Bayesian-PBPK modeling for assessment of inter-individual variability and subgroup stratification.

Krauss M, Burghaus R, Lippert J, Niemi M, Neuvonen P, Schuppert A, Willmann S, Kuepfer L, Görlitz L.

In Silico Pharmacol. 2013 Apr 11;1:6. doi: 10.1186/2193-9616-1-6. eCollection 2013.

29.

Nanog-dependent feedback loops regulate murine embryonic stem cell heterogeneity.

MacArthur BD, Sevilla A, Lenz M, Müller FJ, Schuldt BM, Schuppert AA, Ridden SJ, Stumpf PS, Fidalgo M, Ma'ayan A, Wang J, Lemischka IR.

Nat Cell Biol. 2012 Nov;14(11):1139-47. doi: 10.1038/ncb2603. Epub 2012 Oct 28.

30.

Few inputs can reprogram biological networks.

Müller FJ, Schuppert A.

Nature. 2011 Oct 19;478(7369):E4; discussion E4-5. doi: 10.1038/nature10543. No abstract available.

PMID:
22012402
31.

Quantifying stability in gene list ranking across microarray derived clinical biomarkers.

Schneckener S, Arden NS, Schuppert A.

BMC Med Genomics. 2011 Oct 14;4:73. doi: 10.1186/1755-8794-4-73.

32.

Identification of clinically relevant protein targets in prostate cancer with 2D-DIGE coupled mass spectrometry and systems biology network platform.

Ummanni R, Mundt F, Pospisil H, Venz S, Scharf C, Barett C, Fälth M, Köllermann J, Walther R, Schlomm T, Sauter G, Bokemeyer C, Sültmann H, Schuppert A, Brümmendorf TH, Balabanov S.

PLoS One. 2011 Feb 11;6(2):e16833. doi: 10.1371/journal.pone.0016833.

33.

An elastic network model to identify characteristic stress response genes.

Schneckener S, Görlitz L, Ellinger-Ziegelbauer H, Ahr HJ, Schuppert A.

Comput Biol Chem. 2010 Jun;34(3):193-202. doi: 10.1016/j.compbiolchem.2010.06.004. Epub 2010 Jun 25.

PMID:
20643583

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