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宫颈转录组基因表达的综合序列分析。

Comprehensive serial analysis of gene expression of the cervical transcriptome.

作者信息

Shadeo Ashleen, Chari Raj, Vatcher Greg, Campbell Jennifer, Lonergan Kim M, Matisic Jasenka, van Niekerk Dirk, Ehlen Thomas, Miller Dianne, Follen Michele, Lam Wan L, MacAulay Calum

机构信息

Cancer Genetics & Developmental Biology, British Columbia Cancer Research Centre, Vancouver, BC, Canada.

出版信息

BMC Genomics. 2007 Jun 1;8:142. doi: 10.1186/1471-2164-8-142.

Abstract

BACKGROUND

More than half of the approximately 500,000 women diagnosed with cervical cancer worldwide each year will die from this disease. Investigation of genes expressed in precancer lesions compared to those expressed in normal cervical epithelium will yield insight into the early stages of disease. As such, establishing a baseline from which to compare to, is critical in elucidating the abnormal biology of disease. In this study we examine the normal cervical tissue transcriptome and investigate the similarities and differences in relation to CIN III by Long-SAGE (L-SAGE).

RESULTS

We have sequenced 691,390 tags from four L-SAGE libraries increasing the existing gene expression data on cervical tissue by 20 fold. One-hundred and eighteen unique tags were highly expressed in normal cervical tissue and 107 of them mapped to unique genes, most belong to the ribosomal, calcium-binding and keratinizing gene families. We assessed these genes for aberrant expression in CIN III and five genes showed altered expression. In addition, we have identified twelve unique HPV 16 SAGE tags in the CIN III libraries absent in the normal libraries.

CONCLUSION

Establishing a baseline of gene expression in normal cervical tissue is key for identifying changes in cancer. We demonstrate the utility of this baseline data by identifying genes with aberrant expression in CIN III when compared to normal tissue.

摘要

背景

全球每年约有50万女性被诊断为宫颈癌,其中超过一半将死于该疾病。对癌前病变中表达的基因与正常宫颈上皮中表达的基因进行研究,将有助于深入了解疾病的早期阶段。因此,建立一个可供比较的基线对于阐明疾病的异常生物学特性至关重要。在本研究中,我们通过长链SAGE(L-SAGE)技术检测正常宫颈组织转录组,并研究其与III级宫颈上皮内瘤变(CIN III)相关的异同。

结果

我们对来自四个L-SAGE文库的691,390个标签进行了测序,使现有的宫颈组织基因表达数据增加了20倍。118个独特标签在正常宫颈组织中高表达,其中107个映射到独特基因,大多数属于核糖体、钙结合和角质化基因家族。我们评估了这些基因在CIN III中的异常表达,发现有5个基因表达发生改变。此外,我们在CIN III文库中鉴定出12个正常文库中不存在的独特人乳头瘤病毒16型(HPV 16)SAGE标签。

结论

建立正常宫颈组织基因表达基线是识别癌症变化的关键。通过与正常组织比较,我们在CIN III中鉴定出表达异常的基因,证明了该基线数据的实用性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dd1a/1899502/be8c5aa9a186/1471-2164-8-142-1.jpg

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