Literature DB >> 15505217

Induction in myeloid leukemic cells of genes that are expressed in different normal tissues.

Joseph Lotem1, Hila Benjamin, Dvir Netanely, Eytan Domany, Leo Sachs.   

Abstract

Using DNA microarray and cluster analysis of expressed genes in a cloned line (M1-t-p53) of myeloid leukemic cells, we have analyzed the expression of genes that are preferentially expressed in different normal tissues. Clustering of 547 highly expressed genes in these leukemic cells showed 38 genes preferentially expressed in normal hematopoietic tissues and 122 other genes preferentially expressed in different normal nonhematopoietic tissues, including neuronal tissues, muscle, liver, and testis. We have also analyzed the genes whose expression in the leukemic cells changed after activation of WT p53 and treatment with the cytokine IL-6 or the calcium mobilizer thapsigargin. Of 620 such genes in the leukemic cells that were differentially expressed in normal tissues, clustering showed 80 genes that were preferentially expressed in hematopoietic tissues and 132 genes in different normal nonhematopoietic tissues that also included neuronal tissues, muscle, liver, and testis. Activation of p53 and treatment with IL-6 or thapsigargin induced different changes in the genes preferentially expressed in these normal tissues. These myeloid leukemic cells thus express genes that are expressed in normal nonhematopoietic tissues, and various treatments can reprogram these cells to induce other such nonhematopoietic genes. The results indicate that these leukemic cells share with normal hematopoietic stem cells the plasticity of differentiation to different cell types. It is suggested that this reprogramming to induce in malignant cells genes that are expressed in different normal tissues may be of clinical value in therapy.

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Year:  2004        PMID: 15505217      PMCID: PMC528762          DOI: 10.1073/pnas.0406966101

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  36 in total

1.  Superparamagnetic clustering of data.

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4.  Cytokines as suppressors of apoptosis.

Authors:  J Lotem; L Sachs
Journal:  Apoptosis       Date:  1999-06       Impact factor: 4.677

5.  Robust estimators for expression analysis.

Authors:  Earl Hubbell; Wei-Min Liu; Rui Mei
Journal:  Bioinformatics       Date:  2002-12       Impact factor: 6.937

6.  Endomitotic reduplication mechanisms in ascites tumors of the mouse.

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Journal:  J Natl Cancer Inst       Date:  1953-08       Impact factor: 13.506

7.  Hematopoietic stem cells convert into liver cells within days without fusion.

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Review 8.  DNA methylation, chromatin inheritance, and cancer.

Authors:  M R Rountree; K E Bachman; J G Herman; S B Baylin
Journal:  Oncogene       Date:  2001-05-28       Impact factor: 9.867

9.  Inhibition of p53-induced apoptosis without affecting expression of p53-regulated genes.

Authors:  Joseph Lotem; Hilah Gal; Rachel Kama; Ninette Amariglio; Gideon Rechavi; Eytan Domany; Leo Sachs; David Givol
Journal:  Proc Natl Acad Sci U S A       Date:  2003-05-12       Impact factor: 11.205

10.  Hematopoietic progenitors express neural genes.

Authors:  James Goolsby; Marie C Marty; Dafna Heletz; Joshua Chiappelli; Gerti Tashko; Deborah Yarnell; Paul S Fishman; Suhayl Dhib-Jalbut; Christopher T Bever; Bernard Pessac; David Trisler
Journal:  Proc Natl Acad Sci U S A       Date:  2003-11-21       Impact factor: 11.205

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2.  Human cancers overexpress genes that are specific to a variety of normal human tissues.

Authors:  Joseph Lotem; Dvir Netanely; Eytan Domany; Leo Sachs
Journal:  Proc Natl Acad Sci U S A       Date:  2005-12-08       Impact factor: 11.205

3.  Genes overexpressed in different human solid cancers exhibit different tissue-specific expression profiles.

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Journal:  Proc Natl Acad Sci U S A       Date:  2007-07-30       Impact factor: 11.205

4.  Heterogeneity of transcription factor binding specificity models within and across cell lines.

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  4 in total

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