Skip to main content
Log in

Molecular characterizations of Nop16 in murine mammary tumors with varying levels of c-Myc

  • Brief Communication
  • Published:
Transgenic Research Aims and scope Submit manuscript

Abstract

NOP16, also known as HSPC111, has been identified as a MYC and estrogen regulated gene in in vitro studies, hence coexpression levels were strongly correlated. Importantly, high expression of NOP16 was associated with poor clinical outcome in breast cancer patients. However, coexpression of NOP16, MYC and estrogen receptor (ESR1) varied widely in tumors and cell lines suggesting that transcriptional regulation differed according to pathological environments. The goal of this study was to determine the expression patterns of Nop16, Myc and Esr1 in murine mammary tumors with disparate histopathological and molecular features. We hypothesized that tumor environments with relatively high Myc levels would have different coexpression patterns than tumor environments with relatively low Myc levels. We measured levels of Myc and Nop16 mRNA and protein in tumors from WAP-c-myc mice that were of high grade and metastasized frequently. In contrast, Myc and Nop16 mRNA and proteins levels were significantly lower in the less aggressive tumors that developed in NRL-TGFα mice. Tumors from both mouse lines express ESR1 protein and we found that Esr1 mRNA levels correlated positively with Myc levels in both models. However, Myc and Nop16 transcript levels correlated positively only in tumors from NRL-TGFα mice. We identified prominent NOP16 protein in nuclei and less prominent staining in the cytoplasm of luminal cells of ducts and lobules from normal mammary glands as well as in hyperplasias and tumors obtained from NRL-TGFα mice. This staining pattern was reversed in tumors from WAP-c-Myc mice as nuclear staining was faint or absent and cytoplasmic staining more pronounced. In summary, the regulation of expression and localization of NOP16 varies in tumor environments with high versus low MYC levels and demonstrate the importance of stratifying clinical breast cancers based on MYC levels.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Subscribe and save

Springer+
from $39.99 /Month
  • Starting from 10 chapters or articles per month
  • Access and download chapters and articles from more than 300k books and 2,500 journals
  • Cancel anytime
View plans

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5

References

  • Ahmad Y, Boisvert FM, Gregor P, Cobley A, Lamond AI (2009) NOPdb: nucleolar proteome database–2008 update. Nucleic Acids Res 37:D181–D184

    Article  PubMed  CAS  Google Scholar 

  • Butt AJ, Sergio CM, Inman CK et al (2008) The estrogen and c-Myc target gene HSPC111 is over-expressed in breast cancer and associated with poor patient outcome. Breast Cancer Res 10:R28–R38

    Article  PubMed  Google Scholar 

  • Cardiff RD, Anver MR, Gusterson BA et al (2000) The mammary pathology of genetically engineered mice: the consensus report and recommendations from the Annapolis meeting. Oncogene 19:968–988

    Article  PubMed  CAS  Google Scholar 

  • Chen D, Dou QP (2010) The ubiquitin-proteasome system as a prospective molecular target for cancer treatment and prevention. Curr Protein Pept Sci 11(6):459–470

    Article  PubMed  CAS  Google Scholar 

  • Chung HJ, Levens D (2005) c-myc expression: keep the noise down!. Mol Cells 20:157–166

    PubMed  CAS  Google Scholar 

  • Dai MS, Lu H (2008) Crosstalk between c-Myc and ribosome in ribosomal biogenesis and cancer. J Cell Biochem 105:670–677

    Article  PubMed  CAS  Google Scholar 

  • Elston CW, Ellis IO (1991) Pathological prognostic factors in breast cancer. I. The value of histological grade in breast cancer: experience from a large study with long-term follow-up. Histopathology 19:403–410

    Article  PubMed  CAS  Google Scholar 

  • Fang G, Kuang R, Pandey G, Steinbach M, Myers CL, Kumar V (2010) Subspace differential coexpression analysis: problem definition and a general approach. Pac Symp Biocomput pp 145–156

  • Geyer FC, Lopez-Garcia MA, Lambros MB, Reis-Filho JS (2009) Genetic characterisation of breast cancer and implications for clinical management. J Cell Mol Med

  • Hubbard TJ, Aken BL, Ayling S et al (2009) Ensembl 2009. Nucleic Acids Res 37:D690–D697

    Article  PubMed  CAS  Google Scholar 

  • Lam YW, Trinkle-Mulcahy L (2005) Lamond AI: the nucleolus. J Cell Sci 118:1335–1337

    Article  PubMed  CAS  Google Scholar 

  • Leung AK, Trinkle-Mulcahy L, Lam YW, Andersen JS, Mann M, Lamond AI (2006) NOPdb: nucleolar proteome database. Nucleic Acids Res 34:D218–D220

    Article  PubMed  CAS  Google Scholar 

  • Liao DJ, Dickson RB (2000) c-Myc in breast cancer. Endocr Relat Cancer 7:143–164

    Article  PubMed  CAS  Google Scholar 

  • Lin CY, Strom A, Vega VB et al (2004) Discovery of estrogen receptor alpha target genes and response elements in breast tumor cells. Genome Biol 5: R66

  • Ma CX, Sanchez CG, Ellis MJ (2009) Predicting endocrine therapy responsiveness in breast cancer. Oncology (Williston Park) 23:133–142

    Google Scholar 

  • McNeil CM, Sergio CM, Anderson LR et al (2006) c-Myc overexpression and endocrine resistance in breast cancer. J Steroid Biochem Mol Biol 102:147–155

    Article  PubMed  CAS  Google Scholar 

  • Miyawaki H (1965) Histochemistry and electron microscopy of iron-containing granules, lysosomes, and lipofuscin in mouse mammary glands. J Natl Cancer Inst 34:601–623

    PubMed  CAS  Google Scholar 

  • Morin RD, O’Connor MD, Griffith M et al (2008) Application of massively parallel sequencing to microRNA profiling and discovery in human embryonic stem cells. Genome Res 18:610–621

    Article  PubMed  CAS  Google Scholar 

  • Musgrove EA, Sergio CM, Loi S et al (2008) Identification of functional networks of estrogen- and c-Myc-responsive genes and their relationship to response to tamoxifen therapy in breast cancer. PLoS One 3: e2987

  • Nygaard S, Jacobsen A, Lindow M et al (2009) Identification and analysis of miRNAs in human breast cancer and teratoma samples using deep sequencing. BMC Med Genomics 2: 35

    Google Scholar 

  • Pearson WR, Lipman DJ (1988) Improved tools for biological sequence comparison. Proc Natl Acad Sci USA 85:2444–2448

    Article  PubMed  CAS  Google Scholar 

  • Perou CM, Sorlie T, Eisen MB et al (2000) Molecular portraits of human breast tumours. Nature 406:747–752

    Article  PubMed  CAS  Google Scholar 

  • Rose-Hellekant TA, Sandgren EP (2000) Transforming growth factor alpha- and c-myc-induced mammary carcinogenesis in transgenic mice. Oncogene 19:1092–1096

    Article  PubMed  CAS  Google Scholar 

  • Rose-Hellekant TA, Schroeder MD, Brockman JL et al (2007) Estrogen receptor-positive mammary tumorigenesis in TGFalpha transgenic mice progresses with progesterone receptor loss. Oncogene 26:5238–5246

    Article  PubMed  CAS  Google Scholar 

  • Sandgren EP, Schroeder JA, Qui TH, Palmiter RD, Brinster RL, Lee DC (1995) Inhibition of mammary gland involution is associated with transforming growth factor alpha but not c-myc-induced tumorigenesis in transgenic mice. Cancer Res 55:3915–3927

    PubMed  CAS  Google Scholar 

  • Schlosser I, Holzel M, Murnseer M, Burtscher H, Weidle UH, Eick D (2003) A role for c-Myc in the regulation of ribosomal RNA processing. Nucleic Acids Res 31:6148–6156

    Article  PubMed  CAS  Google Scholar 

Download references

Acknowledgments

The authors greatly appreciate the assistance of Barbara Elmquist and Emily Heid for excellent preparation of tissues for histologic and immunohistochemical review and Drs. Jon Holy and Lois Heller for critical review of this manuscript. This work was supported by NIH grant K01-RR00145, the University of Minnesota Medical Foundation the Academic Health Center to TRH, the University of Minnesota Undergraduate Research Opportunities Program to ES and by St. Luke’s Hospital-Duluth.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Teresa A. Rose-Hellekant.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Online Resource 1

NOP16, located on human chromosome 5, is found in a region syntenic to mouse chromosome 13. The human and mouse DNA and proteins share 84.4 and 91% identity, respectively. The syntenic alignment of mouse and human NOP16 was performed using Ensembl release 56, September 2009 (Hubbard et al. 2009). The human mir-1271 located in the NOP16 region of synteny is untested as a regulatory miRNA but expression was recently demonstrated in teratomas (Nygaard et al. 2009), embryonic stem cells and embryoid bodies (Morin et al. 2008) by deep-sequencing. The homolog in mouse, the ncRNA gene AC155262.2, has not as yet been investigated (PDF 18313 kb)

Online Resource 2

Selection of antibodies for identification of NOP16 in mouse tissues. Antibodies directed against human NOP16 protein, a mouse polyclonal antibody (#88449 from Abcam) and a rabbit polyclonal antibody (H00051491-D01 from Abnova) were tested in protein extracts from mouse spleen. Both primary antibodies identified proteins of the same size expected for NOP16, however the anti-mouse HRP conjugated secondary antibody produced a non-specific secondary band denoted as “background band”. Note also that incubation of lysates with rabbit polyclonal antibody resulted in bands with higher signal than lysate incubated with mouse monoclonal antibody (TIFF 3282 kb)

Rights and permissions

Reprints and permissions

About this article

Cite this article

Kundel, D.W., Stromquist, E., Greene, A.L. et al. Molecular characterizations of Nop16 in murine mammary tumors with varying levels of c-Myc . Transgenic Res 21, 393–406 (2012). https://doi.org/10.1007/s11248-011-9529-3

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11248-011-9529-3

Keywords