Literature DB >> 16140941

Functional profiling: from microarrays via cell-based assays to novel tumor relevant modulators of the cell cycle.

Dorit Arlt1, Wolfgang Huber, Urban Liebel, Christian Schmidt, Meher Majety, Mamatha Sauermann, Heiko Rosenfelder, Stephanie Bechtel, Alexander Mehrle, Detlev Bannasch, Ingo Schupp, Markus Seiler, Jeremy C Simpson, Florian Hahne, Petra Moosmayer, Markus Ruschhaupt, Birgit Guilleaume, Ruth Wellenreuther, Rainer Pepperkok, Holger Sültmann, Annemarie Poustka, Stefan Wiemann.   

Abstract

Cancer transcription microarray studies commonly deliver long lists of "candidate" genes that are putatively associated with the respective disease. For many of these genes, no functional information, even less their relevance in pathologic conditions, is established as they were identified in large-scale genomics approaches. Strategies and tools are thus needed to distinguish genes and proteins with mere tumor association from those causally related to cancer. Here, we describe a functional profiling approach, where we analyzed 103 previously uncharacterized genes in cancer relevant assays that probed their effects on DNA replication (cell proliferation). The genes had previously been identified as differentially expressed in genome-wide microarray studies of tumors. Using an automated high-throughput assay with single-cell resolution, we discovered seven activators and nine repressors of DNA replication. These were further characterized for effects on extracellular signal-regulated kinase 1/2 (ERK1/2) signaling (G1-S transition) and anchorage-independent growth (tumorigenicity). One activator and one inhibitor protein of ERK1/2 activation and three repressors of anchorage-independent growth were identified. Data from tumor and functional profiling make these proteins novel prime candidates for further in-depth study of their roles in cancer development and progression. We have established a novel functional profiling strategy that links genomics to cell biology and showed its potential for discerning cancer relevant modulators of the cell cycle in the candidate lists from microarray studies.

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Year:  2005        PMID: 16140941     DOI: 10.1158/0008-5472.CAN-05-0642

Source DB:  PubMed          Journal:  Cancer Res        ISSN: 0008-5472            Impact factor:   12.701


  8 in total

1.  [Molecular high throughput research in prostate carcinoma].

Authors:  T Schlomm; H Sültmann; A Poustka; G Sauter; O J C Hellwinkel; H Huland
Journal:  Urologe A       Date:  2007-09       Impact factor: 0.639

Review 2.  The potential of high-content high-throughput microscopy in drug discovery.

Authors:  V Starkuviene; R Pepperkok
Journal:  Br J Pharmacol       Date:  2007-07-02       Impact factor: 8.739

3.  The LIFEdb database in 2006.

Authors:  Alexander Mehrle; Heiko Rosenfelder; Ingo Schupp; Coral del Val; Dorit Arlt; Florian Hahne; Stephanie Bechtel; Jeremy Simpson; Oliver Hofmann; Winston Hide; Karl-Heinz Glatting; Wolfgang Huber; Rainer Pepperkok; Annemarie Poustka; Stefan Wiemann
Journal:  Nucleic Acids Res       Date:  2006-01-01       Impact factor: 16.971

4.  Statistical methods and software for the analysis of highthroughput reverse genetic assays using flow cytometry readouts.

Authors:  Florian Hahne; Dorit Arlt; Mamatha Sauermann; Meher Majety; Annemarie Poustka; Stefan Wiemann; Wolfgang Huber
Journal:  Genome Biol       Date:  2006-08-17       Impact factor: 13.583

5.  CAFTAN: a tool for fast mapping, and quality assessment of cDNAs.

Authors:  Coral del Val; Vladimir Yurjevich Kuryshev; Karl-Heinz Glatting; Peter Ernst; Agnes Hotz-Wagenblatt; Annemarie Poustka; Sandor Suhai; Stefan Wiemann
Journal:  BMC Bioinformatics       Date:  2006-10-25       Impact factor: 3.169

6.  Differential Gene Expression Landscape of Co-Existing Cervical Pre-Cancer Lesions Using RNA-seq.

Authors:  Kathryn E Royse; Degui Zhi; Michael G Conner; Buffie Clodfelder-Miller; Vinodh Srinivasasainagendra; Laura Kelly Vaughan; Christine F Skibola; David K Crossman; Shawn Levy; Sadeep Shrestha
Journal:  Front Oncol       Date:  2014-11-26       Impact factor: 6.244

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

Authors:  Thorsten Kohl; Christian Schmidt; Stefan Wiemann; Annemarie Poustka; Ulrike Korf
Journal:  Proteome Sci       Date:  2008-01-28       Impact factor: 2.480

8.  The full-ORF clone resource of the German cDNA Consortium.

Authors:  Stephanie Bechtel; Heiko Rosenfelder; Anny Duda; Christian Peter Schmidt; Ute Ernst; Ruth Wellenreuther; Alexander Mehrle; Claudia Schuster; Andre Bahr; Helmut Blöcker; Dagmar Heubner; Andreas Hoerlein; Guenter Michel; Holger Wedler; Karl Köhrer; Birgit Ottenwälder; Annemarie Poustka; Stefan Wiemann; Ingo Schupp
Journal:  BMC Genomics       Date:  2007-10-31       Impact factor: 3.969

  8 in total

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