Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Oncogenomics
  • Published:

A microarray-based, integrated approach to identify novel regulators of cancer drug response and apoptosis

Abstract

DNA microarrays are powerful tools for the analysis of gene expression on a genomic scale. The importance of individual regulatory events for the process under study can however not be deduced unequivocally without additional experiments. We devised a strategy to identify central regulators of cancer drug responses by combining the results of microarray experiments with efficient methods for phenotypic testing of candidate genes. We exposed murine FL5.12 pro-B cells to cisplatin, camptothecin, methotrexate or paclitaxel, respectively and analysed the patterns of gene expression with cDNA microarrays. Drug-specific regulatory events as well as intersections between different apoptotic pathways, including previously studied responses to staurosporine and interleukin-3 (IL-3) deprivation, were identified. Genes shared by at least three pathways were chosen for further analysis. Ectopic expression of three such genes, TEAP, GP49B, and Lipin1 was found to have an anti-proliferative effect on pro-B cells. Interestingly, we identified hemoglobin alpha as a strong pro-apoptotic regulator. While hemoglobin-expressing cells were growing normally in the presence of IL-3, they displayed accelerated apoptosis with similar kinetics as Bax overexpressing cells upon IL-3 removal. The pro-apoptotic effect of hemoglobin was suppressed by Bcl-2 and was characterized by enhanced stimulation of caspase activity.

This is a preview of subscription content, access via your institution

Access options

Buy this article

Prices may be subject to local taxes which are calculated during checkout

Figure 1
Figure 2
Figure 3
Figure 4

Similar content being viewed by others

References

  • Amundson SA, Bittner M, Chen Y, Trent J, Meltzer P, Fornace Jr AJ . 1999 Oncogene 18: 3666–3672

  • Arevalo-Rodriguez M, Cardenas ME, Wu X, Hanes SD, Heitman J . 2000 EMBO J. 19: 3739–3749

  • Beinert T, Munzing S, Possinger K, Krombach F . 2000 J. Leukoc. Biol. 67: 369–373

  • Blagosklonny MV, Fojo T . 1999 Int. J. Cancer 83: 151–156

  • Brachat A, Pierrat B, Brungger A, Heim J . 2000 Oncogene 19: 5073–5082

  • Brouard S, Otterbein LE, Anrather J, Tobiasch E, Bach FH, Choi AM, Soares MP . 2000 J. Exp. Med. 192: 1015–1026

  • Carrier A, Nguyen C, Victorero G, Granjeaud S, Rocha D, Bernard K, Miazek A, Ferrier P, Malissen M, Naquet P, Malissen B, Jordan BR . 1999 Immunogenetics 50: 255–270

  • Cohen SM, Lippard SJ . 2001 Prog. Nucleic Acid Res. Mol. Biol. 67: 93–130

  • Dunn SE, Hardman RA, Kari FW, Barrett JC . 1997 Cancer Res. 57: 2687–2693

  • Ferrante K, Winograd B, Canetta R . 1999 Cancer Chemother. Pharmacol. 43: (Suppl) 61–68

  • Gu Z, Flemington C, Chittenden T, Zambetti GP . 2000 Mol. Cell. Biol. 20: 233–241

  • Katz HR, Vivier E, Castells MC, McCormick MJ, Chambers JM, Austen KF . 1996 Proc. Natl. Acad. Sci. USA 93: 10809–10814

  • Lee SP, Hwang YS, Kim YJ, Kwon KS, Kim HJ, Kim K, Chae HZ . 2001 J. Biol. Chem. 276: 29826–29832

  • Lehar SM, Nacht M, Jacks T, Vater CA, Chittenden T, Guild BC . 1996 Oncogene 12: 1181–1187

  • Leist M, Jäättelä . 2001 Nat. Rev. Mol. Cell Biol. 2: 589–598

  • Matsuda S, Kawamura-Tsuzuku J, Ohsugi M, Yoshida M, Emi M, Nakamura Y, Onda M, Yoshida Y, Nishiyama A, Yamamoto T . 1996 Oncogene 12: 705–713

  • Matsumoto Y, Wang LL, Yokoyama WM, Aso T . 2001 J. Immunol. 166: 781–786

  • Meguro T, Chen B, Lancon J, Zhang JH . 2001 J. Neurochem. 77: 1128–1135

  • Nicholson DW . 2000 Nature 407: 810–816

  • Noma T, Fujisawa K, Yamashiro Y, Shinohara M, Nakazawa A, Gondo T, Ishihara T, Yoshinobu K . 2001 Biochem. J. 358: 225–232

  • Okamoto K, Prives C . 1999 Oncogene 18: 4606–4615

  • Olsen EA . 1991 J. Am. Acad. Dermatol. 25: 301–318

  • Peterfy M, Phan J, Xu P, Reue K . 2001 Nat. Genet. 27: 121–124

  • Rouault JP, Falette N, Guehenneux F, Guillot C, Rimokh R, Wang Q, Berthet C, Moyret-Lalle C, Savatier P, Pain B, Shaw P, Berger R, Samarut J, Magaud JP, Ozturk M, Samarut C, Puisieux A . 1996 Nat. Genet. 14: 482–486

  • Schena M, Shalon D, Davis RW, Brown PO . 1995 Science 270: 467–470

  • Schena M, Shalon D, Heller R, Chai A, Brown PO, Davis RW . 1996 Proc. Natl. Acad. Sci. USA 93: 10614–10619

  • Schneider E, Hsiang YH, Liu LF . 1990 Adv. Pharmacol. 21: 149–183

  • Swift S, Lorens J, Achacoso P, Nolan GP . 1999 Cur. Proto. Immunol. Unit 10 28: Suppl

  • Tomasini R, Azizi Samir A, Vaccaro MI, Pebusque MJ, Dagorn JC, Iovanna JL, Dusetti NJ . 2001 J. Biol. Chem. 276: 44185–44192

  • Voehringer DW, Hirschberg DL, Xiao J, Lu Q, Roederer M, Lock CB, Herzenberg LA, Steinman L, Herzenberg LA . 2000 Proc. Natl. Acad. Sci. USA 97: 2680–2685

  • Wang LL, Chu DT, Dokun AO, Yokoyama WM . 2000 J. Immunol. 164: 5215–5220

  • Yang WM, Yao YL, Seto E . 2001 EMBO J. 20: 4814–4825

  • Yoneda T, Sato M, Maeda M, Takagi H . 1998 Brain Res. Mol. Brain Res. 62: 187–195

Download references

Acknowledgements

We thank Marion Kamke and Brigitte Besenreuther for excellent technical assistance.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jutta Heim.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Brachat, A., Pierrat, B., Xynos, A. et al. A microarray-based, integrated approach to identify novel regulators of cancer drug response and apoptosis. Oncogene 21, 8361–8371 (2002). https://doi.org/10.1038/sj.onc.1206016

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/sj.onc.1206016

Keywords

This article is cited by

Search

Quick links