Literature DB >> 16721385

Molecular profiling reveals myeloid leukemia cell lines to be faithful model systems characterized by distinct genomic aberrations.

F G Rücker1, S Sander, K Döhner, H Döhner, J R Pollack, L Bullinger.   

Abstract

To model and investigate different facets of leukemia pathogenesis, a widely accepted approach is to use immortalized leukemia cell lines. Although these provide powerful tools to our knowledge, few studies have addressed the question whether hematopoietic cell lines represent accurate and reliable model systems. To improve the molecular characterization of these model systems, we analyzed 17 myeloid leukemia cell lines using DNA microarray technology. By array-based comparative genomic hybridization, we identified recurrent genomic DNA gains and losses, as well as high-level amplifications. Parallel analysis of gene expression helped delineate potential candidate genes, and unsupervised analysis of gene expression data revealed cell lines to cluster in part based on underlying cytogenetic abnormalities. Comparison with clinical leukemia specimens showed that key signatures were retained, as myeloid cell lines with characteristic cytogenetic aberrations co-clustered with leukemia samples carrying the respective abnormality. Signatures were also quite robust, as expression data from cell lines correlated highly with published data. Thus, our analyses demonstrate myeloid cell lines to exhibit conserved and stable signatures reflecting the underlying primary cytogenetic aberrations. Our refined molecular characterization of myeloid cell lines supports the utility of cell lines as faithful and powerful model systems and provides additional insights into the molecular mechanisms of leukemogenesis.

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Year:  2006        PMID: 16721385     DOI: 10.1038/sj.leu.2404235

Source DB:  PubMed          Journal:  Leukemia        ISSN: 0887-6924            Impact factor:   11.528


  14 in total

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Authors:  Hans G Drexler; Roderick A F Macleod
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Review 2.  Molecular cytogenetics in translational oncology: when chromosomes meet genomics.

Authors:  M J Calasanz; J C Cigudosa
Journal:  Clin Transl Oncol       Date:  2008-01       Impact factor: 3.405

3.  Uncovering low-dimensional, miR-based signatures of acute myeloid and lymphoblastic leukemias with a machine-learning-driven network approach.

Authors:  Julián Candia; Srujana Cherukuri; Yin Guo; Kshama A Doshi; Jayanth R Banavar; Curt I Civin; Wolfgang Losert
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4.  Up-regulation of ribosomal genes is associated with a poor response to azacitidine in myelodysplasia and related neoplasms.

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Journal:  Int J Hematol       Date:  2016-07-14       Impact factor: 2.490

5.  Molecular dissection of valproic acid effects in acute myeloid leukemia identifies predictive networks.

Authors:  Frank G Rücker; Katharina M Lang; Markus Fütterer; Vladimir Komarica; Mathias Schmid; Hartmut Döhner; Richard F Schlenk; Konstanze Döhner; Steen Knudsen; Lars Bullinger
Journal:  Epigenetics       Date:  2016-06-16       Impact factor: 4.528

6.  NVX-412, a new oncology drug candidate, induces S-phase arrest and DNA damage in cancer cells in a p53-independent manner.

Authors:  Alexandra Hebar; Barbara C Rütgen; Edgar Selzer
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7.  RNAi-mediated silencing of MLL-AF9 reveals leukemia-associated downstream targets and processes.

Authors:  Katrin K Fleischmann; Philipp Pagel; Irene Schmid; Adelbert A Roscher
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8.  Induced myelomonocytic differentiation in leukemia cells is accompanied by noncanonical transcription factor expression.

Authors:  Holly A Jensen; Harmony B Yourish; Rodica P Bunaciu; Jeffrey D Varner; Andrew Yen
Journal:  FEBS Open Bio       Date:  2015-09-28       Impact factor: 2.693

9.  Autophagy limits proliferation and glycolytic metabolism in acute myeloid leukemia.

Authors:  Alexander S Watson; Thomas Riffelmacher; Amanda Stranks; Owen Williams; Jasper De Boer; Kelvin Cain; Marion MacFarlane; Joanna McGouran; Benedikt Kessler; Shivani Khandwala; Onima Chowdhury; Daniel Puleston; Kanchan Phadwal; Monika Mortensen; David Ferguson; Elizabeth Soilleux; Petter Woll; Sten Eirik W Jacobsen; Anna Katharina Simon
Journal:  Cell Death Discov       Date:  2015-08-17

10.  Intrinsic OXPHOS limitations underlie cellular bioenergetics in leukemia.

Authors:  Margaret Am Nelson; Kelsey L McLaughlin; James T Hagen; Hannah S Coalson; Cameron Schmidt; Miki Kassai; Kimberly A Kew; Joseph M McClung; P Darrell Neufer; Patricia Brophy; Nasreen A Vohra; Darla Liles; Myles C Cabot; Kelsey H Fisher-Wellman
Journal:  Elife       Date:  2021-06-16       Impact factor: 8.140

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