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Results: 1 to 20 of 87

1.

Multi-omic signature of body weight change: results from a population-based cohort study.

Wahl S, Vogt S, Stückler F, Krumsiek J, Bartel J, Kacprowski T, Schramm K, Carstensen M, Rathmann W, Roden M, Jourdan C, Kangas AJ, Soininen P, Ala-Korpela M, Nöthlings U, Boeing H, Theis FJ, Meisinger C, Waldenberger M, Suhre K, Homuth G, Gieger C, Kastenmüller G, Illig T, Linseisen J, Peters A, Prokisch H, Herder C, Thorand B, Grallert H.

BMC Med. 2015 Dec;13(1):282. doi: 10.1186/s12916-015-0282-y. Epub 2015 Mar 9.

2.

Decoding the regulatory network of early blood development from single-cell gene expression measurements.

Moignard V, Woodhouse S, Haghverdi L, Lilly AJ, Tanaka Y, Wilkinson AC, Buettner F, Macaulay IC, Jawaid W, Diamanti E, Nishikawa S, Piterman N, Kouskoff V, Theis FJ, Fisher J, Göttgens B.

Nat Biotechnol. 2015 Mar;33(3):269-76. doi: 10.1038/nbt.3154. Epub 2015 Feb 9.

PMID:
25664528
3.

A subset of metastatic pancreatic ductal adenocarcinomas depends quantitatively on oncogenic Kras/Mek/Erk-induced hyperactive mTOR signalling.

Kong B, Wu W, Cheng T, Schlitter AM, Qian C, Bruns P, Jian Z, Jäger C, Regel I, Raulefs S, Behler N, Irmler M, Beckers J, Friess H, Erkan M, Siveke JT, Tannapfel A, Hahn SA, Theis FJ, Esposito I, Kleeff J, Michalski CW.

Gut. 2015 Jan 19. pii: gutjnl-2014-307616. doi: 10.1136/gutjnl-2014-307616. [Epub ahead of print]

PMID:
25601637
4.

Metabolism gene signatures and surgical site infections in abdominal surgery.

Kong B, Bruns P, Raulefs S, Rieder S, Paul L, Prazeresda Costa O, Buch T, Theis FJ, Michalski CW, Kleeff J.

Int J Surg. 2015 Feb;14:67-74. doi: 10.1016/j.ijsu.2015.01.009. Epub 2015 Jan 16.

PMID:
25599917
5.

Computational analysis of cell-to-cell heterogeneity in single-cell RNA-sequencing data reveals hidden subpopulations of cells.

Buettner F, Natarajan KN, Casale FP, Proserpio V, Scialdone A, Theis FJ, Teichmann SA, Marioni JC, Stegle O.

Nat Biotechnol. 2015 Feb;33(2):155-60. doi: 10.1038/nbt.3102. Epub 2015 Jan 19.

PMID:
25599176
6.

Network-based approach for analyzing intra- and interfluid metabolite associations in human blood, urine, and saliva.

Do KT, Kastenmüller G, Mook-Kanamori DO, Yousri NA, Theis FJ, Suhre K, Krumsiek J.

J Proteome Res. 2015 Feb 6;14(2):1183-94. doi: 10.1021/pr501130a. Epub 2014 Dec 9.

PMID:
25434815
7.

Bayesian blind source separation for data with network structure.

Illner K, Fuchs C, Theis FJ.

J Comput Biol. 2014 Nov;21(11):855-65. doi: 10.1089/cmb.2014.0117. Epub 2014 Oct 10.

PMID:
25302766
8.

miR-23a-3p causes cellular senescence by targeting hyaluronan synthase 2: possible implication for skin aging.

Röck K, Tigges J, Sass S, Schütze A, Florea AM, Fender AC, Theis FJ, Krutmann J, Boege F, Fritsche E, Reifenberger G, Fischer JW.

J Invest Dermatol. 2015 Feb;135(2):369-77. doi: 10.1038/jid.2014.422. Epub 2014 Sep 29.

PMID:
25264594
9.

RAMONA: a Web application for gene set analysis on multilevel omics data.

Sass S, Buettner F, Mueller NS, Theis FJ.

Bioinformatics. 2015 Jan 1;31(1):128-30. doi: 10.1093/bioinformatics/btu610. Epub 2014 Sep 18.

PMID:
25236464
10.

Feature ranking of type 1 diabetes susceptibility genes improves prediction of type 1 diabetes.

Winkler C, Krumsiek J, Buettner F, Angermüller C, Giannopoulou EZ, Theis FJ, Ziegler AG, Bonifacio E.

Diabetologia. 2014 Dec;57(12):2521-9. doi: 10.1007/s00125-014-3362-1. Epub 2014 Sep 4. Erratum in: Diabetologia. 2015 Jan;58(1):206.

PMID:
25186292
11.

Hypothalamic miR-103 protects from hyperphagic obesity in mice.

Vinnikov IA, Hajdukiewicz K, Reymann J, Beneke J, Czajkowski R, Roth LC, Novak M, Roller A, Dörner N, Starkuviene V, Theis FJ, Erfle H, Schütz G, Grinevich V, Konopka W.

J Neurosci. 2014 Aug 6;34(32):10659-74. doi: 10.1523/JNEUROSCI.4251-13.2014.

12.

Cytokine-regulated GADD45G induces differentiation and lineage selection in hematopoietic stem cells.

Thalheimer FB, Wingert S, De Giacomo P, Haetscher N, Rehage M, Brill B, Theis FJ, Hennighausen L, Schroeder T, Rieger MA.

Stem Cell Reports. 2014 Jun 19;3(1):34-43. doi: 10.1016/j.stemcr.2014.05.010. eCollection 2014 Jul 8.

13.

Allergic contact dermatitis in psoriasis patients: typical, delayed, and non-interacting.

Quaranta M, Eyerich S, Knapp B, Nasorri F, Scarponi C, Mattii M, Garzorz N, Harlfinger AT, Jaeger T, Grosber M, Pennino D, Mempel M, Schnopp C, Theis FJ, Albanesi C, Cavani A, Schmidt-Weber CB, Ring J, Eyerich K.

PLoS One. 2014 Jul 24;9(7):e101814. doi: 10.1371/journal.pone.0101814. eCollection 2014.

14.

MCA: Multiresolution Correlation Analysis, a graphical tool for subpopulation identification in single-cell gene expression data.

Feigelman J, Theis FJ, Marr C.

BMC Bioinformatics. 2014 Jul 11;15:240. doi: 10.1186/1471-2105-15-240.

15.

Intraindividual genome expression analysis reveals a specific molecular signature of psoriasis and eczema.

Quaranta M, Knapp B, Garzorz N, Mattii M, Pullabhatla V, Pennino D, Andres C, Traidl-Hoffmann C, Cavani A, Theis FJ, Ring J, Schmidt-Weber CB, Eyerich S, Eyerich K.

Sci Transl Med. 2014 Jul 9;6(244):244ra90. doi: 10.1126/scitranslmed.3008946.

PMID:
25009230
16.

ODE constrained mixture modelling: a method for unraveling subpopulation structures and dynamics.

Hasenauer J, Hasenauer C, Hucho T, Theis FJ.

PLoS Comput Biol. 2014 Jul 3;10(7):e1003686. doi: 10.1371/journal.pcbi.1003686. eCollection 2014 Jul.

17.

Novel genetic associations with serum level metabolites identified by phenotype set enrichment analyses.

Ried JS, Shin SY, Krumsiek J, Illig T, Theis FJ, Spector TD, Adamski J, Wichmann HE, Strauch K, Soranzo N, Suhre K, Gieger C.

Hum Mol Genet. 2014 Nov 1;23(21):5847-57. doi: 10.1093/hmg/ddu301. Epub 2014 Jun 13.

PMID:
24927737
18.

An atlas of genetic influences on human blood metabolites.

Shin SY, Fauman EB, Petersen AK, Krumsiek J, Santos R, Huang J, Arnold M, Erte I, Forgetta V, Yang TP, Walter K, Menni C, Chen L, Vasquez L, Valdes AM, Hyde CL, Wang V, Ziemek D, Roberts P, Xi L, Grundberg E; Multiple Tissue Human Expression Resource (MuTHER) Consortium, Waldenberger M, Richards JB, Mohney RP, Milburn MV, John SL, Trimmer J, Theis FJ, Overington JP, Suhre K, Brosnan MJ, Gieger C, Kastenmüller G, Spector TD, Soranzo N.

Nat Genet. 2014 Jun;46(6):543-50. doi: 10.1038/ng.2982. Epub 2014 May 11.

19.

Posttranscriptional regulatory networks: from expression profiling to integrative analysis of mRNA and microRNA data.

Meyer SU, Stoecker K, Sass S, Theis FJ, Pfaffl MW.

Methods Mol Biol. 2014;1160:165-88. doi: 10.1007/978-1-4939-0733-5_15.

PMID:
24740230
20.

Probabilistic PCA of censored data: accounting for uncertainties in the visualization of high-throughput single-cell qPCR data.

Buettner F, Moignard V, Göttgens B, Theis FJ.

Bioinformatics. 2014 Jul 1;30(13):1867-75. doi: 10.1093/bioinformatics/btu134. Epub 2014 Mar 10.

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