Identification of candidate lung cancer susceptibility genes in mouse using oligonucleotide arrays.

نویسندگان

  • W J Lemon
  • H Bernert
  • H Sun
  • Y Wang
  • M You
چکیده

We applied microarray gene expression profiling to lungs from mouse strains having variable susceptibility to lung tumour development as a means to identify, within known quantitative trait loci (QTLs), candidate genes responsible for susceptibility or resistance to lung cancer. At least eight chromosomal regions of mice have been mapped and verified to be linked with lung tumour susceptibility or resistance. In this study, high density oligonucleotide arrays were used to measure the relative expression levels of >36 000 genes and ESTs in lung tissues of A/J, BALB/cJ, SM/J, C3H/HeJ, and C57BL/6J mice. A number of differentially expressed genes were found in each of the lung cancer susceptibility QTLs. Bioinformatic analysis of the differentially expressed genes located within QTLs produced 28 susceptibility candidates and 22 resistance candidates. These candidates may be extremely helpful in the ultimate identification of the precise genes responsible for lung tumour susceptibility or resistance in mice and, through follow up, humans. Complete data sets are available at http://thinker.med.ohio-state.edu.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Bioinformatic identification of novel early stress response genes in rodent models of lung injury.

Acute lung injury is a complex illness with a high mortality rate (>30%) and often requires the use of mechanical ventilatory support for respiratory failure. Mechanical ventilation can lead to clinical deterioration due to augmented lung injury in certain patients, suggesting the potential existence of genetic susceptibility to mechanical stretch (6, 48), the nature of which remains unclear. T...

متن کامل

Single nucleotide polymorphism (SNP) analysis of mouse quantitative trait loci for identification of candidate genes.

M ouse models are widely used for studying polygenic traits underlying various diseases to identify the low penetrance disease susceptibility genes. Classical genetic studies using cross breeding of mouse strains with differing susceptibilities to different diseases have identified chromosomal regions associated with predisposition to lung tumours, lung injury, disease resistance, and seizure. ...

متن کامل

Bioinformatics identification of miRNA-mRNA regulatory network contributing to lung cancer invasion

Background: Over the past 15 years, significant insights have been gained into the roles of miRNAs in cancer. In various cancers, miRNAs can act as oncogenes, tumor suppressors, or control the metastasis process by modulating the expression of numerous target genes. This study is aimed at determining molecular network of miRNA-mRNA regulating lung cancer invasion, by bioinformatics approaches. ...

متن کامل

Identification of candidate alkylator-induced cancer susceptibility genes by whole genome scanning in mice.

Secondary malignancies are a serious adverse consequence of alkylator chemotherapy. The risk of developing an alkylator-associated malignancy is influenced by genetic background, although the relevant genetic factors are poorly understood. To screen for novel susceptibility factors, we established a mouse model of alkylator-induced malignancy. We exposed mice from 20 inbred strains to the proto...

متن کامل

Fine mapping and identification of candidate pulmonary adenoma susceptibility 1 genes using advanced intercross lines.

In the present study, we used newly developed F(11) generation mouse advanced intercross lines (AIL) to fine map Pas1-3 quantitative trait loci (QTL). The (A/J x C57BL/6) F(11) AIL mouse population was created by crossing lung tumor-resistant C57BL/6 mice with lung tumor-susceptible A/J mice. By selectively genotyping 30% of the population, we have confirmed the Pas1 QTL and narrowed it to an i...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • Journal of medical genetics

دوره 39 9  شماره 

صفحات  -

تاریخ انتشار 2002