Format
Sort by
Items per page

Send to

Choose Destination

Search results

Items: 1 to 50 of 113

1.

Data integration for identification of important transcription factors of STAT6-mediated cell fate decisions.

Jargosch M, Kröger S, Gralinska E, Klotz U, Fang Z, Chen W, Leser U, Selbig J, Groth D, Baumgrass R.

Genet Mol Res. 2016 Jun 24;15(2). doi: 10.4238/gmr.15028493.

2.

Phenomic prediction of maize hybrids.

Edlich-Muth C, Muraya MM, Altmann T, Selbig J.

Biosystems. 2016 Aug;146:102-9. doi: 10.1016/j.biosystems.2016.05.008. Epub 2016 May 19.

PMID:
27212062
3.

More effort - more results: recent advances in integrative 'omics' data analysis.

Rajasundaram D, Selbig J.

Curr Opin Plant Biol. 2016 Apr;30:57-61. doi: 10.1016/j.pbi.2015.12.010. Epub 2016 Feb 15. Review.

4.

Glucocorticoid (dexamethasone)-induced metabolome changes in healthy males suggest prediction of response and side effects.

Bordag N, Klie S, Jürchott K, Vierheller J, Schiewe H, Albrecht V, Tonn JC, Schwartz C, Schichor C, Selbig J.

Sci Rep. 2015 Nov 3;5:15954. doi: 10.1038/srep15954.

5.

Refined elasticity sampling for Monte Carlo-based identification of stabilizing network patterns.

Childs D, Grimbs S, Selbig J.

Bioinformatics. 2015 Jun 15;31(12):i214-20. doi: 10.1093/bioinformatics/btv243.

6.

BioMiner: Paving the Way for Personalized Medicine.

Bauer C, Stec K, Glintschert A, Gruden K, Schichor C, Or-Guil M, Selbig J, Schuchhardt J.

Cancer Inform. 2015 Apr 20;14:55-63. doi: 10.4137/CIN.S20910. eCollection 2015.

7.

Exercise training alters DNA methylation patterns in genes related to muscle growth and differentiation in mice.

Kanzleiter T, Jähnert M, Schulze G, Selbig J, Hallahan N, Schwenk RW, Schürmann A.

Am J Physiol Endocrinol Metab. 2015 May 15;308(10):E912-20. doi: 10.1152/ajpendo.00289.2014. Epub 2015 Mar 24.

8.

Understanding the relationship between cotton fiber properties and non-cellulosic cell wall polysaccharides.

Rajasundaram D, Runavot JL, Guo X, Willats WG, Meulewaeter F, Selbig J.

PLoS One. 2014 Nov 10;9(11):e112168. doi: 10.1371/journal.pone.0112168. eCollection 2014.

9.

Co-ordination and divergence of cell-specific transcription and translation of genes in arabidopsis root cells.

Rajasundaram D, Selbig J, Persson S, Klie S.

Ann Bot. 2014 Oct;114(6):1109-23. doi: 10.1093/aob/mcu151. Epub 2014 Aug 22.

10.

The expression of Wnt-inhibitor DKK1 (Dickkopf 1) is determined by intercellular crosstalk and hypoxia in human malignant gliomas.

Guo KT, Fu P, Juerchott K, Motaln H, Selbig J, Lah T, Tonn JC, Schichor C.

J Cancer Res Clin Oncol. 2014 Aug;140(8):1261-70. doi: 10.1007/s00432-014-1642-2. Epub 2014 Apr 27.

PMID:
24770633
11.

Deducing hybrid performance from parental metabolic profiles of young primary roots of maize by using a multivariate diallel approach.

Feher K, Lisec J, Römisch-Margl L, Selbig J, Gierl A, Piepho HP, Nikoloski Z, Willmitzer L.

PLoS One. 2014 Jan 7;9(1):e85435. doi: 10.1371/journal.pone.0085435. eCollection 2014.

12.

Impact of the carbon and nitrogen supply on relationships and connectivity between metabolism and biomass in a broad panel of Arabidopsis accessions.

Sulpice R, Nikoloski Z, Tschoep H, Antonio C, Kleessen S, Larhlimi A, Selbig J, Ishihara H, Gibon Y, Fernie AR, Stitt M.

Plant Physiol. 2013 May;162(1):347-63. doi: 10.1104/pp.112.210104. Epub 2013 Mar 20.

13.

Analysis of phylogenetic signal in protostomial intron patterns using Mutual Information.

Hill N, Leow A, Bleidorn C, Groth D, Tiedemann R, Selbig J, Hartmann S.

Theory Biosci. 2013 Jun;132(2):93-104. doi: 10.1007/s12064-012-0173-0. Epub 2012 Dec 18.

PMID:
23248024
14.

Integration of a systems biological network analysis and QTL results for biomass heterosis in Arabidopsis thaliana.

Andorf S, Meyer RC, Selbig J, Altmann T, Repsilber D.

PLoS One. 2012;7(11):e49951. doi: 10.1371/journal.pone.0049951. Epub 2012 Nov 16.

15.

Isolation and characterization of bone marrow-derived progenitor cells from malignant gliomas.

Guo KT, Juerchott K, Fu P, Selbig J, Eigenbrod S, Tonn JC, Schichor C.

Anticancer Res. 2012 Nov;32(11):4971-82.

PMID:
23155267
16.

Principal components analysis.

Groth D, Hartmann S, Klie S, Selbig J.

Methods Mol Biol. 2013;930:527-47. doi: 10.1007/978-1-62703-059-5_22.

PMID:
23086856
17.

Stoichiometric capacitance reveals the theoretical capabilities of metabolic networks.

Larhlimi A, Basler G, Grimbs S, Selbig J, Nikoloski Z.

Bioinformatics. 2012 Sep 15;28(18):i502-i508. doi: 10.1093/bioinformatics/bts381.

18.

A MATLAB toolbox for structural kinetic modeling.

Girbig D, Selbig J, Grimbs S.

Bioinformatics. 2012 Oct 1;28(19):2546-7. Epub 2012 Jul 30.

PMID:
22847934
19.

F2C2: a fast tool for the computation of flux coupling in genome-scale metabolic networks.

Larhlimi A, David L, Selbig J, Bockmayr A.

BMC Bioinformatics. 2012 Apr 23;13:57. doi: 10.1186/1471-2105-13-57.

20.

Systematic analysis of stability patterns in plant primary metabolism.

Girbig D, Grimbs S, Selbig J.

PLoS One. 2012;7(4):e34686. doi: 10.1371/journal.pone.0034686. Epub 2012 Apr 13.

21.

Heterosis manifestation during early Arabidopsis seedling development is characterized by intermediate gene expression and enhanced metabolic activity in the hybrids.

Meyer RC, Witucka-Wall H, Becher M, Blacha A, Boudichevskaia A, Dörmann P, Fiehn O, Friedel S, von Korff M, Lisec J, Melzer M, Repsilber D, Schmidt R, Scholz M, Selbig J, Willmitzer L, Altmann T.

Plant J. 2012 Aug;71(4):669-83. doi: 10.1111/j.1365-313X.2012.05021.x. Epub 2012 Jun 12.

22.

A distinct metabolic signature predicts development of fasting plasma glucose.

Hische M, Larhlimi A, Schwarz F, Fischer-Rosinský A, Bobbert T, Assmann A, Catchpole GS, Pfeiffer AF, Willmitzer L, Selbig J, Spranger J.

J Clin Bioinforma. 2012 Feb 2;2:3. doi: 10.1186/2043-9113-2-3.

23.

Exploiting gene families for phylogenomic analysis of myzostomid transcriptome data.

Hartmann S, Helm C, Nickel B, Meyer M, Struck TH, Tiedemann R, Selbig J, Bleidorn C.

PLoS One. 2012;7(1):e29843. doi: 10.1371/journal.pone.0029843. Epub 2012 Jan 20.

24.

A "crossomics" study analysing variability of different components in peripheral blood of healthy caucasoid individuals.

Gruden K, Hren M, Herman A, Blejec A, Albrecht T, Selbig J, Bauer C, Schuchardt J, Or-Guil M, Zupančič K, Svajger U, Stabuc B, Ihan A, Kopitar AN, Ravnikar M, Knežević M, Rožman P, Jeras M.

PLoS One. 2012;7(1):e28761. doi: 10.1371/journal.pone.0028761. Epub 2012 Jan 12.

25.

Mesenchymal stem cells and glioma cells form a structural as well as a functional syncytium in vitro.

Schichor C, Albrecht V, Korte B, Buchner A, Riesenberg R, Mysliwietz J, Paron I, Motaln H, Turnšek TL, Jürchott K, Selbig J, Tonn JC.

Exp Neurol. 2012 Mar;234(1):208-19. doi: 10.1016/j.expneurol.2011.12.033. Epub 2011 Dec 29.

PMID:
22230665
26.

Evolutionary significance of metabolic network properties.

Basler G, Grimbs S, Ebenhöh O, Selbig J, Nikoloski Z.

J R Soc Interface. 2012 Jun 7;9(71):1168-76. doi: 10.1098/rsif.2011.0652. Epub 2011 Nov 30.

27.

Robustness of metabolic networks: a review of existing definitions.

Larhlimi A, Blachon S, Selbig J, Nikoloski Z.

Biosystems. 2011 Oct;106(1):1-8. doi: 10.1016/j.biosystems.2011.06.002. Epub 2011 Jun 25. Review.

PMID:
21708222
28.

Corn hybrids display lower metabolite variability and complex metabolite inheritance patterns.

Lisec J, Römisch-Margl L, Nikoloski Z, Piepho HP, Giavalisco P, Selbig J, Gierl A, Willmitzer L.

Plant J. 2011 Oct;68(2):326-36. doi: 10.1111/j.1365-313X.2011.04689.x. Epub 2011 Jul 27.

29.

Comparison of metabolite profiles in U87 glioma cells and mesenchymal stem cells.

Jürchott K, Guo KT, Catchpole G, Feher K, Willmitzer L, Schichor C, Selbig J.

Biosystems. 2011 Aug;105(2):130-9. doi: 10.1016/j.biosystems.2011.05.005. Epub 2011 May 14.

PMID:
21605622
30.

MAPA distinguishes genotype-specific variability of highly similar regulatory protein isoforms in potato tuber.

Hoehenwarter W, Larhlimi A, Hummel J, Egelhofer V, Selbig J, van Dongen JT, Wienkoop S, Weckwerth W.

J Proteome Res. 2011 Jul 1;10(7):2979-91. doi: 10.1021/pr101109a. Epub 2011 May 26.

PMID:
21563841
31.

Mass-balanced randomization of metabolic networks.

Basler G, Ebenhöh O, Selbig J, Nikoloski Z.

Bioinformatics. 2011 May 15;27(10):1397-403. doi: 10.1093/bioinformatics/btr145. Epub 2011 Mar 23.

32.

Complexity of automated gene annotation.

Nikoloski Z, Grimbs S, Klie S, Selbig J.

Biosystems. 2011 Apr;104(1):1-8. doi: 10.1016/j.biosystems.2010.12.003. Epub 2011 Jan 8.

PMID:
21219964
33.

SLocX: Predicting Subcellular Localization of Arabidopsis Proteins Leveraging Gene Expression Data.

Ryngajllo M, Childs L, Lohse M, Giorgi FM, Lude A, Selbig J, Usadel B.

Front Plant Sci. 2011 Sep 12;2:43. doi: 10.3389/fpls.2011.00043. eCollection 2011.

34.

Spatiotemporal dynamics of the Calvin cycle: multistationarity and symmetry breaking instabilities.

Grimbs S, Arnold A, Koseska A, Kurths J, Selbig J, Nikoloski Z.

Biosystems. 2011 Feb;103(2):212-23. doi: 10.1016/j.biosystems.2010.10.015. Epub 2010 Nov 12.

PMID:
21075168
35.

Decision trees as a simple-to-use and reliable tool to identify individuals with impaired glucose metabolism or type 2 diabetes mellitus.

Hische M, Luis-Dominguez O, Pfeiffer AF, Schwarz PE, Selbig J, Spranger J.

Eur J Endocrinol. 2010 Oct;163(4):565-71. doi: 10.1530/EJE-10-0649. Epub 2010 Aug 6.

PMID:
20693184
36.

Algebraic connectivity may explain the evolution of gene regulatory networks.

Nikoloski Z, May P, Selbig J.

J Theor Biol. 2010 Nov 7;267(1):7-14. doi: 10.1016/j.jtbi.2010.07.028. Epub 2010 Aug 1.

PMID:
20682325
37.

Involvement of TBL/DUF231 proteins into cell wall biology.

Bischoff V, Selbig J, Scheible WR.

Plant Signal Behav. 2010 Aug;5(8):1057-9. Epub 2010 Aug 1.

38.

Proteome-wide survey of phosphorylation patterns affected by nuclear DNA polymorphisms in Arabidopsis thaliana.

Riaño-Pachón DM, Kleessen S, Neigenfind J, Durek P, Weber E, Engelsberger WR, Walther D, Selbig J, Schulze WX, Kersten B.

BMC Genomics. 2010 Jul 1;11:411. doi: 10.1186/1471-2164-11-411.

39.

Decision tree supported substructure prediction of metabolites from GC-MS profiles.

Hummel J, Strehmel N, Selbig J, Walther D, Kopka J.

Metabolomics. 2010 Jun;6(2):322-333. Epub 2010 Feb 16.

40.

Metabolomic and transcriptomic stress response of Escherichia coli.

Jozefczuk S, Klie S, Catchpole G, Szymanski J, Cuadros-Inostroza A, Steinhauser D, Selbig J, Willmitzer L.

Mol Syst Biol. 2010 May 11;6:364. doi: 10.1038/msb.2010.18.

41.

Robin: an intuitive wizard application for R-based expression microarray quality assessment and analysis.

Lohse M, Nunes-Nesi A, Krüger P, Nagel A, Hannemann J, Giorgi FM, Childs L, Osorio S, Walther D, Selbig J, Sreenivasulu N, Stitt M, Fernie AR, Usadel B.

Plant Physiol. 2010 Jun;153(2):642-51. doi: 10.1104/pp.109.152553. Epub 2010 Apr 13.

42.

ExPlanes: exploring planes in triplet data.

Schwenk BB, Selbig J, Ben-Zion Y, Holschneider M.

J Integr Bioinform. 2010 Mar 25;7(3). doi: 10.2390/biecoll-jib-2010-132.

PMID:
20375455
43.

Discovering plant metabolic biomarkers for phenotype prediction using an untargeted approach.

Steinfath M, Strehmel N, Peters R, Schauer N, Groth D, Hummel J, Steup M, Selbig J, Kopka J, Geigenberger P, Van Dongen JT.

Plant Biotechnol J. 2010 Oct;8(8):900-11. doi: 10.1111/j.1467-7652.2010.00516.x.

44.

Biomarker discovery in heterogeneous tissue samples -taking the in-silico deconfounding approach.

Repsilber D, Kern S, Telaar A, Walzl G, Black GF, Selbig J, Parida SK, Kaufmann SH, Jacobsen M.

BMC Bioinformatics. 2010 Jan 14;11:27. doi: 10.1186/1471-2105-11-27.

45.

Biological cluster evaluation for gene function prediction.

Klie S, Nikoloski Z, Selbig J.

J Comput Biol. 2014 Jun;21(6):428-45. doi: 10.1089/cmb.2009.0129. Epub 2010 Jan 8.

PMID:
20059365
46.

Predicting Arabidopsis freezing tolerance and heterosis in freezing tolerance from metabolite composition.

Korn M, Gärtner T, Erban A, Kopka J, Selbig J, Hincha DK.

Mol Plant. 2010 Jan;3(1):224-35. doi: 10.1093/mp/ssp105. Epub 2009 Dec 21.

47.

Enriched partial correlations in genome-wide gene expression profiles of hybrids (A. thaliana): a systems biological approach towards the molecular basis of heterosis.

Andorf S, Selbig J, Altmann T, Poos K, Witucka-Wall H, Repsilber D.

Theor Appl Genet. 2010 Jan;120(2):249-59. doi: 10.1007/s00122-009-1214-z. Epub 2009 Nov 17.

PMID:
19921139
48.

Prediction of hybrid biomass in Arabidopsis thaliana by selected parental SNP and metabolic markers.

Steinfath M, Gärtner T, Lisec J, Meyer RC, Altmann T, Willmitzer L, Selbig J.

Theor Appl Genet. 2010 Jan;120(2):239-47. doi: 10.1007/s00122-009-1191-2. Epub 2009 Nov 13.

49.

Metabolic profiling reveals key metabolic features of renal cell carcinoma.

Catchpole G, Platzer A, Weikert C, Kempkensteffen C, Johannsen M, Krause H, Jung K, Miller K, Willmitzer L, Selbig J, Weikert S.

J Cell Mol Med. 2011 Jan;15(1):109-18. doi: 10.1111/j.1582-4934.2009.00939.x.

50.

Stability of metabolic correlations under changing environmental conditions in Escherichia coli--a systems approach.

Szymanski J, Jozefczuk S, Nikoloski Z, Selbig J, Nikiforova V, Catchpole G, Willmitzer L.

PLoS One. 2009 Oct 15;4(10):e7441. doi: 10.1371/journal.pone.0007441.

Supplemental Content

Loading ...
Support Center