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Items: 1 to 50 of 58

1.

Reconstruction of Different Modes of WNT Dependent Protein Networks from Time Series Protein Quantification.

Sitte M, Menck K, Wachter A, Reinz E, Korf U, Wiemann S, Bleckmann A, Beissbarth T.

Stud Health Technol Inform. 2019 Sep 3;267:175-180. doi: 10.3233/SHTI190823.

PMID:
31483270
2.

Functional Proteomics of Breast Cancer Metabolism Identifies GLUL as Responder during Hypoxic Adaptation.

Bernhardt S, Tönsing C, Mitra D, Erdem N, Müller-Decker K, Korf U, Kreutz C, Timmer J, Wiemann S.

J Proteome Res. 2019 Mar 1;18(3):1352-1362. doi: 10.1021/acs.jproteome.8b00944. Epub 2019 Jan 18.

PMID:
30609375
3.

PI3K: A master regulator of brain metastasis-promoting macrophages/microglia.

Blazquez R, Wlochowitz D, Wolff A, Seitz S, Wachter A, Perera-Bel J, Bleckmann A, Beißbarth T, Salinas G, Riemenschneider MJ, Proescholdt M, Evert M, Utpatel K, Siam L, Schatlo B, Balkenhol M, Stadelmann C, Schildhaus HU, Korf U, Reinz E, Wiemann S, Vollmer E, Schulz M, Ritter U, Hanisch UK, Pukrop T.

Glia. 2018 Nov;66(11):2438-2455. doi: 10.1002/glia.23485. Epub 2018 Oct 25.

PMID:
30357946
4.

Proteomic profiling of breast cancer metabolism identifies SHMT2 and ASCT2 as prognostic factors.

Bernhardt S, Bayerlová M, Vetter M, Wachter A, Mitra D, Hanf V, Lantzsch T, Uleer C, Peschel S, John J, Buchmann J, Weigert E, Bürrig KF, Thomssen C, Korf U, Beissbarth T, Wiemann S, Kantelhardt EJ.

Breast Cancer Res. 2017 Oct 11;19(1):112. doi: 10.1186/s13058-017-0905-7.

5.

Liquid-phase electron microscopy of molecular drug response in breast cancer cells reveals irresponsive cell subpopulations related to lack of HER2 homodimers.

Peckys DB, Korf U, Wiemann S, de Jonge N.

Mol Biol Cell. 2017 Aug 9. pii: mbc.E17-06-0381. doi: 10.1091/mbc.E17-06-0381. [Epub ahead of print]

6.

Coordinated Pulses of mRNA and of Protein Translation or Degradation Produce EGF-Induced Protein Bursts.

Golan-Lavi R, Giacomelli C, Fuks G, Zeisel A, Sonntag J, Sinha S, Köstler W, Wiemann S, Korf U, Yarden Y, Domany E.

Cell Rep. 2017 Mar 28;18(13):3129-3142. doi: 10.1016/j.celrep.2017.03.014.

7.

Multi-omic profiles of human non-alcoholic fatty liver disease tissue highlight heterogenic phenotypes.

Wruck W, Kashofer K, Rehman S, Daskalaki A, Berg D, Gralka E, Jozefczuk J, Drews K, Pandey V, Regenbrecht C, Wierling C, Turano P, Korf U, Zatloukal K, Lehrach H, Westerhoff HV, Adjaye J.

Sci Data. 2015 Dec 8;2:150068. doi: 10.1038/sdata.2015.68.

8.

Local variations of HER2 dimerization in breast cancer cells discovered by correlative fluorescence and liquid electron microscopy.

Peckys DB, Korf U, de Jonge N.

Sci Adv. 2015 Jul 17;1(6):e1500165. doi: 10.1126/sciadv.1500165. eCollection 2015 Jul.

9.

Dynamic Bayesian Network Modeling of the Interplay between EGFR and Hedgehog Signaling.

Fröhlich H, Bahamondez G, Götschel F, Korf U.

PLoS One. 2015 Nov 16;10(11):e0142646. doi: 10.1371/journal.pone.0142646. eCollection 2015.

10.

Reconstruction of Protein Networks Using Reverse-Phase Protein Array Data.

von der Heyde S, Sonntag J, Kramer F, Bender C, Korf U, Beißbarth T.

Methods Mol Biol. 2016;1362:227-46. doi: 10.1007/978-1-4939-3106-4_15.

PMID:
26519181
11.

Analysis of Reverse Phase Protein Array Data: From Experimental Design towards Targeted Biomarker Discovery.

Wachter A, Bernhardt S, Beissbarth T, Korf U.

Microarrays (Basel). 2015 Nov 3;4(4):520-39. doi: 10.3390/microarrays4040520. Review.

12.

Subtyping of breast cancer using reverse phase protein arrays.

Sonntag J, Schlüter K, Bernhardt S, Korf U.

Expert Rev Proteomics. 2014 Dec;11(6):757-70. doi: 10.1586/14789450.2014.971113. Review.

PMID:
25400094
13.

Activation of AMP-activated protein kinase sensitizes lung cancer cells and H1299 xenografts to erlotinib.

Hülsmann HJ, Rolff J, Bender C, Jarahian M, Korf U, Herwig R, Fröhlich H, Thomas M, Merk J, Fichtner I, Sültmann H, Kuner R.

Lung Cancer. 2014 Nov;86(2):151-7. doi: 10.1016/j.lungcan.2014.09.001. Epub 2014 Sep 10.

PMID:
25240516
14.

RPPanalyzer toolbox: an improved R package for analysis of reverse phase protein array data.

von der Heyde S, Sonntag J, Kaschek D, Bender C, Bues J, Wachter A, Timmer J, Korf U, Beißbarth T.

Biotechniques. 2014 Sep 1;57(3):125-35. doi: 10.2144/000114205. eCollection 2014.

15.

Boolean ErbB network reconstructions and perturbation simulations reveal individual drug response in different breast cancer cell lines.

von der Heyde S, Bender C, Henjes F, Sonntag J, Korf U, Beißbarth T.

BMC Syst Biol. 2014 Jun 25;8:75. doi: 10.1186/1752-0509-8-75.

16.

Realizing the promise of reverse phase protein arrays for clinical, translational, and basic research: a workshop report: the RPPA (Reverse Phase Protein Array) society.

Akbani R, Becker KF, Carragher N, Goldstein T, de Koning L, Korf U, Liotta L, Mills GB, Nishizuka SS, Pawlak M, Petricoin EF 3rd, Pollard HB, Serrels B, Zhu J.

Mol Cell Proteomics. 2014 Jul;13(7):1625-43. doi: 10.1074/mcp.O113.034918. Epub 2014 Apr 28.

17.

Unbiased RNAi screen for hepcidin regulators links hepcidin suppression to proliferative Ras/RAF and nutrient-dependent mTOR signaling.

Mleczko-Sanecka K, Roche F, da Silva AR, Call D, D'Alessio F, Ragab A, Lapinski PE, Ummanni R, Korf U, Oakes C, Damm G, D'Alessandro LA, Klingmüller U, King PD, Boutros M, Hentze MW, Muckenthaler MU.

Blood. 2014 Mar 6;123(10):1574-85. doi: 10.1182/blood-2013-07-515957. Epub 2014 Jan 2.

18.

Evaluation of reverse phase protein array (RPPA)-based pathway-activation profiling in 84 non-small cell lung cancer (NSCLC) cell lines as platform for cancer proteomics and biomarker discovery.

Ummanni R, Mannsperger HA, Sonntag J, Oswald M, Sharma AK, König R, Korf U.

Biochim Biophys Acta. 2014 May;1844(5):950-9. doi: 10.1016/j.bbapap.2013.11.017. Epub 2013 Dec 19.

19.

Synergism between Hedgehog-GLI and EGFR signaling in Hedgehog-responsive human medulloblastoma cells induces downregulation of canonical Hedgehog-target genes and stabilized expression of GLI1.

Götschel F, Berg D, Gruber W, Bender C, Eberl M, Friedel M, Sonntag J, Rüngeler E, Hache H, Wierling C, Nietfeld W, Lehrach H, Frischauf A, Schwartz-Albiez R, Aberger F, Korf U.

PLoS One. 2013 Jun 10;8(6):e65403. doi: 10.1371/journal.pone.0065403. Print 2013.

20.

A Systems Biology Approach to Deciphering the Etiology of Steatosis Employing Patient-Derived Dermal Fibroblasts and iPS Cells.

Jozefczuk J, Kashofer K, Ummanni R, Henjes F, Rehman S, Geenen S, Wruck W, Regenbrecht C, Daskalaki A, Wierling C, Turano P, Bertini I, Korf U, Zatloukal K, Westerhoff HV, Lehrach H, Adjaye J.

Front Physiol. 2012 Sep 3;3:339. doi: 10.3389/fphys.2012.00339. eCollection 2012.

21.

Triplex DNA-binding proteins are associated with clinical outcomes revealed by proteomic measurements in patients with colorectal cancer.

Nelson LD, Bender C, Mannsperger H, Buergy D, Kambakamba P, Mudduluru G, Korf U, Hughes D, Van Dyke MW, Allgayer H.

Mol Cancer. 2012 Jun 8;11:38. doi: 10.1186/1476-4598-11-38.

22.

uPA and PAI-1-Related Signaling Pathways Differ between Primary Breast Cancers and Lymph Node Metastases.

Malinowsky K, Wolff C, Berg D, Schuster T, Walch A, Bronger H, Mannsperger H, Schmidt C, Korf U, Höfler H, Becker KF.

Transl Oncol. 2012 Apr;5(2):98-104. Epub 2012 Apr 1.

23.

Peroxiredoxins 3 and 4 are overexpressed in prostate cancer tissue and affect the proliferation of prostate cancer cells in vitro.

Ummanni R, Barreto F, Venz S, Scharf C, Barett C, Mannsperger HA, Brase JC, Kuner R, Schlomm T, Sauter G, Sültmann H, Korf U, Bokemeyer C, Walther R, Brümmendorf TH, Balabanov S.

J Proteome Res. 2012 Apr 6;11(4):2452-66. doi: 10.1021/pr201172n. Epub 2012 Mar 28.

PMID:
22424448
24.

Global microRNA level regulation of EGFR-driven cell-cycle protein network in breast cancer.

Uhlmann S, Mannsperger H, Zhang JD, Horvat EÁ, Schmidt C, Küblbeck M, Henjes F, Ward A, Tschulena U, Zweig K, Korf U, Wiemann S, Sahin O.

Mol Syst Biol. 2012 Feb 14;8:570. doi: 10.1038/msb.2011.100.

25.

Strong EGFR signaling in cell line models of ERBB2-amplified breast cancer attenuates response towards ERBB2-targeting drugs.

Henjes F, Bender C, von der Heyde S, Braun L, Mannsperger HA, Schmidt C, Wiemann S, Hasmann M, Aulmann S, Beissbarth T, Korf U.

Oncogenesis. 2012 Jul 2;1:e16. doi: 10.1038/oncsis.2012.16.

26.

TMPRSS2-ERG -specific transcriptional modulation is associated with prostate cancer biomarkers and TGF-β signaling.

Brase JC, Johannes M, Mannsperger H, Fälth M, Metzger J, Kacprzyk LA, Andrasiuk T, Gade S, Meister M, Sirma H, Sauter G, Simon R, Schlomm T, Beissbarth T, Korf U, Kuner R, Sültmann H.

BMC Cancer. 2011 Dec 5;11:507. doi: 10.1186/1471-2407-11-507.

27.

Microspot immunoassay-based analysis of plasma protein profiles for biomarker discovery strategies.

Sonntag J, Mannsperger H, Jöcker A, Korf U.

Methods Mol Biol. 2011;785:237-45. doi: 10.1007/978-1-61779-286-1_16.

PMID:
21901604
28.

Quantitative analysis of phosphoproteins using microspot immunoassays.

Henjes F, Götschel F, Jöcker A, Korf U.

Methods Mol Biol. 2011;785:191-201. doi: 10.1007/978-1-61779-286-1_13.

PMID:
21901601
29.

Antibody-mediated signal amplification for reverse phase protein array-based protein quantification.

Brase JC, Mannsperger H, Sültmann H, Korf U.

Methods Mol Biol. 2011;785:55-64. doi: 10.1007/978-1-61779-286-1_5.

PMID:
21901593
30.

Utilization of RNAi to validate antibodies for reverse phase protein arrays.

Mannsperger H, Uhlmann S, Korf U, Sahin O.

Methods Mol Biol. 2011;785:45-54. doi: 10.1007/978-1-61779-286-1_4.

PMID:
21901592
31.

Inferring signalling networks from longitudinal data using sampling based approaches in the R-package 'ddepn'.

Bender C, Heyde Sv, Henjes F, Wiemann S, Korf U, Beissbarth T.

BMC Bioinformatics. 2011 Jul 19;12:291. doi: 10.1186/1471-2105-12-291.

32.

RNAi-based validation of antibodies for reverse phase protein arrays.

Mannsperger HA, Uhlmann S, Schmidt C, Wiemann S, Sahin O, Korf U.

Proteome Sci. 2010 Dec 23;8:69. doi: 10.1186/1477-5956-8-69.

33.

Dynamic deterministic effects propagation networks: learning signalling pathways from longitudinal protein array data.

Bender C, Henjes F, Fröhlich H, Wiemann S, Korf U, Beissbarth T.

Bioinformatics. 2010 Sep 15;26(18):i596-602. doi: 10.1093/bioinformatics/btq385.

34.

[Multilayer analysis of signal transduction and cell cycle control in GIST. Identifying new interaction partners with differential regulation].

Haller F, Zhang DJ, Löbke C, von Heydebreck A, Korf U, Füzesi L, Sahin O.

Pathologe. 2010 Oct;31 Suppl 2:134-7. doi: 10.1007/s00292-010-1339-5. German.

PMID:
20714898
35.

QuantProReloaded: quantitative analysis of microspot immunoassays.

Jöcker A, Sonntag J, Henjes F, Götschel F, Tresch A, Beissbarth T, Wiemann S, Korf U.

Bioinformatics. 2010 Oct 1;26(19):2480-1. doi: 10.1093/bioinformatics/btq443. Epub 2010 Aug 12.

PMID:
20709689
36.

RPPanalyzer: Analysis of reverse-phase protein array data.

Mannsperger HA, Gade S, Henjes F, Beissbarth T, Korf U.

Bioinformatics. 2010 Sep 1;26(17):2202-3. doi: 10.1093/bioinformatics/btq347. Epub 2010 Jul 15.

PMID:
20634205
37.

Increasing the sensitivity of reverse phase protein arrays by antibody-mediated signal amplification.

Brase JC, Mannsperger H, Fröhlich H, Gade S, Schmidt C, Wiemann S, Beissbarth T, Schlomm T, Sültmann H, Korf U.

Proteome Sci. 2010 Jun 22;8:36. doi: 10.1186/1477-5956-8-36.

38.

miR-200bc/429 cluster targets PLCgamma1 and differentially regulates proliferation and EGF-driven invasion than miR-200a/141 in breast cancer.

Uhlmann S, Zhang JD, Schwäger A, Mannsperger H, Riazalhosseini Y, Burmester S, Ward A, Korf U, Wiemann S, Sahin O.

Oncogene. 2010 Jul 29;29(30):4297-306. doi: 10.1038/onc.2010.201. Epub 2010 May 31.

PMID:
20514023
39.

Reverse-phase protein arrays for application-orientated cancer research.

Korf U, Löbke C, Sahin O, Haller F, Sültmann H, Arlt D, Poustka A.

Proteomics Clin Appl. 2009 Oct;3(10):1140-50. doi: 10.1002/prca.200780035. Epub 2009 Aug 4.

PMID:
21136941
40.

Modeling ERBB receptor-regulated G1/S transition to find novel targets for de novo trastuzumab resistance.

Sahin O, Fröhlich H, Löbke C, Korf U, Burmester S, Majety M, Mattern J, Schupp I, Chaouiya C, Thieffry D, Poustka A, Wiemann S, Beissbarth T, Arlt D.

BMC Syst Biol. 2009 Jan 1;3:1. doi: 10.1186/1752-0509-3-1.

41.

Quantitative protein microarrays for time-resolved measurements of protein phosphorylation.

Korf U, Derdak S, Tresch A, Henjes F, Schumacher S, Schmidt C, Hahn B, Lehmann WD, Poustka A, Beissbarth T, Klingmüller U.

Proteomics. 2008 Nov;8(21):4603-12. doi: 10.1002/pmic.200800112.

PMID:
18972530
42.

Increased KIT signalling with up-regulation of cyclin D correlates to accelerated proliferation and shorter disease-free survival in gastrointestinal stromal tumours (GISTs) with KIT exon 11 deletions.

Haller F, Löbke C, Ruschhaupt M, Schulten HJ, Schwager S, Gunawan B, Armbrust T, Langer C, Ramadori G, Sültmann H, Poustka A, Korf U, Füzesi L.

J Pathol. 2008 Oct;216(2):225-35. doi: 10.1002/path.2402.

PMID:
18729075
43.

Antibody microarrays as an experimental platform for the analysis of signal transduction networks.

Korf U, Henjes F, Schmidt C, Tresch A, Mannsperger H, Löbke C, Beissbarth T, Poustka A.

Adv Biochem Eng Biotechnol. 2008;110:153-75. doi: 10.1007/10_2008_101. Review.

PMID:
18528667
44.

Loss of 9p leads to p16INK4A down-regulation and enables RB/E2F1-dependent cell cycle promotion in gastrointestinal stromal tumours (GISTs).

Haller F, Löbke C, Ruschhaupt M, Cameron S, Schulten HJ, Schwager S, von Heydebreck A, Gunawan B, Langer C, Ramadori G, Sültmann H, Poustka A, Korf U, Füzesi L.

J Pathol. 2008 Jul;215(3):253-62. doi: 10.1002/path.2352.

PMID:
18438954
45.

Contact spotting of protein microarrays coupled with spike-in of normalizer protein permits time-resolved analysis of ERBB receptor signaling.

Löbke C, Laible M, Rappl C, Ruschhaupt M, Sahin O, Arlt D, Wiemann S, Poustka A, Sültmann H, Korf U.

Proteomics. 2008 Apr;8(8):1586-94. doi: 10.1002/pmic.200700733.

PMID:
18351692
46.

Human Proteinpedia enables sharing of human protein data.

Mathivanan S, Ahmed M, Ahn NG, Alexandre H, Amanchy R, Andrews PC, Bader JS, Balgley BM, Bantscheff M, Bennett KL, Björling E, Blagoev B, Bose R, Brahmachari SK, Burlingame AS, Bustelo XR, Cagney G, Cantin GT, Cardasis HL, Celis JE, Chaerkady R, Chu F, Cole PA, Costello CE, Cotter RJ, Crockett D, DeLany JP, De Marzo AM, DeSouza LV, Deutsch EW, Dransfield E, Drewes G, Droit A, Dunn MJ, Elenitoba-Johnson K, Ewing RM, Van Eyk J, Faca V, Falkner J, Fang X, Fenselau C, Figeys D, Gagné P, Gelfi C, Gevaert K, Gimble JM, Gnad F, Goel R, Gromov P, Hanash SM, Hancock WS, Harsha HC, Hart G, Hays F, He F, Hebbar P, Helsens K, Hermeking H, Hide W, Hjernø K, Hochstrasser DF, Hofmann O, Horn DM, Hruban RH, Ibarrola N, James P, Jensen ON, Jensen PH, Jung P, Kandasamy K, Kheterpal I, Kikuno RF, Korf U, Körner R, Kuster B, Kwon MS, Lee HJ, Lee YJ, Lefevre M, Lehvaslaiho M, Lescuyer P, Levander F, Lim MS, Löbke C, Loo JA, Mann M, Martens L, Martinez-Heredia J, McComb M, McRedmond J, Mehrle A, Menon R, Miller CA, Mischak H, Mohan SS, Mohmood R, Molina H, Moran MF, Morgan JD, Moritz R, Morzel M, Muddiman DC, Nalli A, Navarro JD, Neubert TA, Ohara O, Oliva R, Omenn GS, Oyama M, Paik YK, Pennington K, Pepperkok R, Periaswamy B, Petricoin EF, Poirier GG, Prasad TS, Purvine SO, Rahiman BA, Ramachandran P, Ramachandra YL, Rice RH, Rick J, Ronnholm RH, Salonen J, Sanchez JC, Sayd T, Seshi B, Shankari K, Sheng SJ, Shetty V, Shivakumar K, Simpson RJ, Sirdeshmukh R, Siu KW, Smith JC, Smith RD, States DJ, Sugano S, Sullivan M, Superti-Furga G, Takatalo M, Thongboonkerd V, Trinidad JC, Uhlen M, Vandekerckhove J, Vasilescu J, Veenstra TD, Vidal-Taboada JM, Vihinen M, Wait R, Wang X, Wiemann S, Wu B, Xu T, Yates JR, Zhong J, Zhou M, Zhu Y, Zurbig P, Pandey A.

Nat Biotechnol. 2008 Feb;26(2):164-7. doi: 10.1038/nbt0208-164. No abstract available.

47.

Infrared-based protein detection arrays for quantitative proteomics.

Korf U, Löbke C, Haller F, Sültmann H, Poustka A.

Expert Opin Drug Discov. 2008 Feb;3(2):273-83. doi: 10.1517/17460441.3.2.273.

PMID:
23480225
48.

Automated production of recombinant human proteins as resource for proteome research.

Kohl T, Schmidt C, Wiemann S, Poustka A, Korf U.

Proteome Sci. 2008 Jan 28;6:4. doi: 10.1186/1477-5956-6-4.

49.

Modeling breast cell cycle regulation--overcoming drug resistance.

Arlt D, Sahin O, Korf U, Loebke C, Beissbarth T, Hahne F, Wiemann S, Poustka A.

Conf Proc IEEE Eng Med Biol Soc. 2006;1:40-3. No abstract available.

PMID:
17946776
50.

Combinatorial RNAi for quantitative protein network analysis.

Sahin O, Löbke C, Korf U, Appelhans H, Sültmann H, Poustka A, Wiemann S, Arlt D.

Proc Natl Acad Sci U S A. 2007 Apr 17;104(16):6579-84. Epub 2007 Apr 9.

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