Literature DB >> 20335275

PathWave: discovering patterns of differentially regulated enzymes in metabolic pathways.

Gunnar Schramm1, Stefan Wiesberg, Nicolle Diessl, Anna-Lena Kranz, Vitalia Sagulenko, Marcus Oswald, Gerhard Reinelt, Frank Westermann, Roland Eils, Rainer König.   

Abstract

MOTIVATION: Gene expression profiling by microarrays or transcript sequencing enables observing the pathogenic function of tumors on a mesoscopic level.
RESULTS: We investigated neuroblastoma tumors that clinically exhibit a very heterogeneous course ranging from rapid growth with fatal outcome to spontaneous regression and detected regulatory oncogenetic shifts in their metabolic networks. In contrast to common enrichment tests, we took network topology into account by applying adjusted wavelet transforms on an elaborated and new 2D grid representation of curated pathway maps from the Kyoto Enzyclopedia of Genes and Genomes. The aggressive form of the tumors showed regulatory shifts for purine and pyrimidine biosynthesis as well as folate-mediated metabolism of the one-carbon pool in respect to increased nucleotide production. We spotted an oncogentic regulatory switch in glutamate metabolism for which we provided experimental validation, being the first steps towards new possible drug therapy. The pattern recognition method we used complements normal enrichment tests to detect such functionally related regulation patterns.
AVAILABILITY AND IMPLEMENTATION: PathWave is implemented in a package for R (www.r-project.org) version 2.6.0 or higher. It is freely available from http://www.ichip.de/software/pathwave.html.

Entities:  

Mesh:

Substances:

Year:  2010        PMID: 20335275     DOI: 10.1093/bioinformatics/btq113

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  11 in total

1.  BCAT1 promotes cell proliferation through amino acid catabolism in gliomas carrying wild-type IDH1.

Authors:  Martje Tönjes; Sebastian Barbus; Yoon Jung Park; Wei Wang; Magdalena Schlotter; Anders M Lindroth; Sabrina V Pleier; Alfa H C Bai; Daniela Karra; Rosario M Piro; Jörg Felsberg; Adele Addington; Dieter Lemke; Irene Weibrecht; Volker Hovestadt; Claudio G Rolli; Benito Campos; Sevin Turcan; Dominik Sturm; Hendrik Witt; Timothy A Chan; Christel Herold-Mende; Ralf Kemkemer; Rainer König; Kathrin Schmidt; William-Edmund Hull; Stefan M Pfister; Manfred Jugold; Susan M Hutson; Christoph Plass; Jürgen G Okun; Guido Reifenberger; Peter Lichter; Bernhard Radlwimmer
Journal:  Nat Med       Date:  2013-06-23       Impact factor: 53.440

2.  Omic data from evolved E. coli are consistent with computed optimal growth from genome-scale models.

Authors:  Nathan E Lewis; Kim K Hixson; Tom M Conrad; Joshua A Lerman; Pep Charusanti; Ashoka D Polpitiya; Joshua N Adkins; Gunnar Schramm; Samuel O Purvine; Daniel Lopez-Ferrer; Karl K Weitz; Roland Eils; Rainer König; Richard D Smith; Bernhard Ø Palsson
Journal:  Mol Syst Biol       Date:  2010-07       Impact factor: 11.429

3.  Large-scale in silico modeling of metabolic interactions between cell types in the human brain.

Authors:  Nathan E Lewis; Gunnar Schramm; Aarash Bordbar; Jan Schellenberger; Michael P Andersen; Jeffrey K Cheng; Nilam Patel; Alex Yee; Randall A Lewis; Roland Eils; Rainer König; Bernhard Ø Palsson
Journal:  Nat Biotechnol       Date:  2010-11-21       Impact factor: 54.908

4.  From sets to graphs: towards a realistic enrichment analysis of transcriptomic systems.

Authors:  Ludwig Geistlinger; Gergely Csaba; Robert Küffner; Nicola Mulder; Ralf Zimmer
Journal:  Bioinformatics       Date:  2011-07-01       Impact factor: 6.937

5.  MYCN amplification confers enhanced folate dependence and methotrexate sensitivity in neuroblastoma.

Authors:  Diana T Lau; Claudia L Flemming; Samuele Gherardi; Giovanni Perini; André Oberthuer; Matthias Fischer; Dilafruz Juraeva; Benedikt Brors; Chengyuan Xue; Murray D Norris; Glenn M Marshall; Michelle Haber; Jamie I Fletcher; Lesley J Ashton
Journal:  Oncotarget       Date:  2015-06-20

6.  Human metabolic network: reconstruction, simulation, and applications in systems biology.

Authors:  Ming Wu; Christina Chan
Journal:  Metabolites       Date:  2012-03-02

7.  Fungal biomarker discovery by integration of classifiers.

Authors:  João Pedro Saraiva; Marcus Oswald; Antje Biering; Daniela Röll; Cora Assmann; Tilman Klassert; Markus Blaess; Kristin Czakai; Ralf Claus; Jürgen Löffler; Hortense Slevogt; Rainer König
Journal:  BMC Genomics       Date:  2017-08-10       Impact factor: 3.969

8.  AMBIENT: Active Modules for Bipartite Networks--using high-throughput transcriptomic data to dissect metabolic response.

Authors:  William A Bryant; Michael J E Sternberg; John W Pinney
Journal:  BMC Syst Biol       Date:  2013-03-25

9.  Network topology-based detection of differential gene regulation and regulatory switches in cell metabolism and signaling.

Authors:  Rosario M Piro; Stefan Wiesberg; Gunnar Schramm; Nico Rebel; Marcus Oswald; Roland Eils; Gerhard Reinelt; Rainer König
Journal:  BMC Syst Biol       Date:  2014-05-16

10.  Estimating the activity of transcription factors by the effect on their target genes.

Authors:  Theresa Schacht; Marcus Oswald; Roland Eils; Stefan B Eichmüller; Rainer König
Journal:  Bioinformatics       Date:  2014-09-01       Impact factor: 6.937

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.