Viral expression and molecular profiling in liver tissue versus microdissected hepatocytes in hepatitis B virus-associated hepatocellular carcinoma

Laser Microdissection Workflow for Isolating Nucleic Acids from Fixed and Frozen Tissue Samples

Laser Capture Microdissection has earned a permanent place among modern techniques connecting histology and molecular biology. Laser Capture Microdissection has become an invaluable tool in medical research as a means for collection of specific cell populations isolated from their environment. Such genomic sample enrichment dramatically increases the sensitivity and precision of downstream molecular assays used for biomarker discovery, monitoring disease onset and progression, and in the development of personalized medicine. The diversity of research targets (cancerous and precancerous lesions in clinical and animal research, cell pellets, rodent embryos, frozen tissues, archival repository slides, etc.) and scientific objectives present a challenge in establishing standard protocols for Laser Capture Microdissection. In the present chapter, we share our experiences in design and successful execution of numerous diverse microdissection projects, and provide considerations to be taken into account in planning a microdissection study. Our workflow and protocols are standardized for a wide range of animal and human tissues and adapted to downstream analysis platforms.

A transcriptome profile in hepatocellular carcinomas based on integrated analysis of microarray studies

Background

Despite new treatment options for hepatocellular carcinomas (HCC) recently, 5-year survival remains poor, ranging from 50 to 70%, which may attribute to the lack of early diagnostic biomarkers. Thus, developing new biomarkers for early diagnosis of HCC, is extremely urgent, aiming to decrease HCC-related deaths.

Methods

In the study, we conducted a comprehensive characterization of gene expression data of HCC based on a bioinformatics method. The results were confirmed by real time polymerase chain reaction (RT-PCR) and TCGA database to prove the credibility of this integrated analysis.

Results

After integrating analysis of seven HCC gene expression datasets, 1167 differential expressed genes (DEGs) were identified. These genes mainly participated in the process of cell cycle, oocyte meiosis, and oocyte maturation mediated by progesterone. The results of experiments and TCGA database validation in 10 genes was in full accordance with findings in integrated analysis, indicating the high credibility of our integrated analysis of different gene expression datasets. ASPM, CCT3, and NEK2 was showed to be significantly associated with overall survival of HCC patients in TCGA database.

Conclusion

This method of integrated analysis may be a useful tool to minish the heterogeneity of individual microarray, hopefully outputs more accurate HCC transcriptome profiles based on large sample size, and explores some potential biomarkers and therapy targets for HCC.

Electronic supplementary material

The online version of this article (doi:10.1186/s13000-016-0596-x) contains supplementary material, which is available to authorized users.

Mps1/TTK: a novel target and biomarker for cancer

Monopolar spindle1 (Mps1, also known as TTK) is the core component of the spindle assembly checkpoint, which functions to ensure proper distribution of chromosomes to daughter cells. Mps1 is hardly detectable in normal organs except the testis and placenta. However, high levels of Mps1 are found in many types of human malignancies, including glioblastoma, thyroid carcinoma, breast cancer, and other cancers. Several Mps1 inhibitors can inhibit the proliferation of cancer cells and exhibit demonstrable survival benefits. Mps1 can be utilized as a new immunogenic epitope, which is able to induce potent cytotoxic T lymphocyte activity against cancer cells while sparing normal cells. Some clinical trials have validated its safety, immunogenicity and clinical response. Thus, Mps1 may be a novel target for cancer therapy. Mps1 is differentially expressed between normal and malignant tissues, indicating its potential as a molecular biomarker for diagnosis. Meanwhile, the discovery that it clearly correlates with recurrence and survival time suggests it may serve as an independent prognostic biomarker as well.

Lack of immunological DNA sensing in hepatocytes facilitates hepatitis B virus infection

Hepatitis B virus (HBV) is a major human pathogen, and about one third of the global population will be exposed to the virus in their lifetime. HBV infects hepatocytes, where it replicates its DNA and infection can lead to acute and chronic hepatitis with a high risk of liver cirrhosis and hepatocellular carcinoma. Despite this, there is limited understanding of how HBV establishes chronic infections. In recent years it has emerged that foreign DNA potently stimulates the innate immune response, particularly type 1 interferon (IFN) production; and this occurs through a pathway dependent on the DNA sensor cyclic guanosine monophosphate-adenosine monophosphate synthase and the downstream adaptor protein stimulator of IFN genes (STING). In this work we describe that human and murine hepatocytes do not express STING. Consequently, hepatocytes do not produce type 1 IFN in response to foreign DNA or HBV infection and mice lacking STING or cyclic guanosine monophosphate-adenosine monophosphate synthase exhibit unaltered ability to control infection in an adenovirus-HBV model. Stimulation of IFN production in the murine liver by administration of synthetic RNA decreases virus infection, thus demonstrating that IFN possesses anti-HBV activity in the liver. Importantly, introduction of STING expression specifically in hepatocytes reconstitutes the DNA sensing pathway, which leads to improved control of HBV in vivo.

CONCLUSION

The lack of a functional innate DNA-sensing pathway in hepatocytes hampers efficient innate control of HBV infection; this may explain why HBV has adapted to specifically replicate in hepatocytes and could contribute to the weak capacity of this cell type to clear HBV infection. (Hepatology 2016;64:746-759).

Adaptation of Laser Microdissection Technique for the Study of a Spontaneous Metastatic Mammary Carcinoma Mouse Model by NanoString Technologies

Laser capture microdissection (LCM) of tissue is an established tool in medical research for collection of distinguished cell populations under direct microscopic visualization for molecular analysis. LCM samples have been successfully analyzed in a number of genomic and proteomic downstream molecular applications. However, LCM sample collection and preparation procedure has to be adapted to each downstream analysis platform. In this present manuscript we describe in detail the adaptation of LCM methodology for the collection and preparation of fresh frozen samples for NanoString analysis based on a study of a model of mouse mammary gland carcinoma and its lung metastasis. Our adaptation of LCM sample preparation and workflow to the requirements of the NanoString platform allowed acquiring samples with high RNA quality. The NanoString analysis of such samples provided sensitive detection of genes of interest and their associated molecular pathways. NanoString is a reliable gene expression analysis platform that can be effectively coupled with LCM.