Transcriptional profiling identifies an interferon-associated host immune response in invasive squamous cell carcinoma of the skin.

Squamous cell carcinoma (SCC) and basal cell carcinoma (BCC) represent the 2 most common types of nonmelanoma skin cancer. Both derive from keratinocytes but show a distinct biological behavior. Here we present transcriptional profiling data of a large cohort of tumor patients (SCC, n = 42; BCC, n = 114). Differentially expressed genes reflect known features of SCC and BCC including the typical cytokeratin pattern as well as upregulation of characteristic cell proliferation genes. Additionally, we found increased expression of interferon (IFN)-regulated genes (including IFI27, IFI30, Mx1, IRF1 and CXCL9) in SCC, and to a lower extent in BCC. The expression of IFN-regulated genes correlated with the extent of the lesional immune-cell infiltrate. Immunohistological examinations confirmed the expression of IFN-regulated genes in association with a CXCR3+ cytotoxic inflammatory infiltrate on the protein level. Of note, a small subset of SCC samples with low expression of IFN-regulated genes included most organ transplant recipients receiving immunosuppressive medication. Collectively, our findings support the concept that IFN-associated host responses play an important role in tumor immunosurveillance in the skin.

Gene expression analysis defines differences between region-specific GABAergic neurons.

Gamma-aminobutyric acid (GABA)ergic neurons are a diverse group of inhibitory neurons playing crucial roles in information processing. We analyzed the gene expression of regionally defined GABAergic neurons from the cortex, olfactory bulb, striatum, and cerebellum of glutamate decarboxylase 67-green fluorescence protein (GAD67-GFP) knock-in mice. We introduce a generally applicable method for singularization of brain cells, flow cytometric enrichment, and global mRNA amplification for sensitive gene expression profiling. Systematic quantification elicited a high dynamic range of GABAergic cell numbers in different brain regions. Clustering of our gene expression results revealed major differences between hind and forebrain GABAergic neurons indicating that the development of GABAergic neurons depends on their regional location. While GABAergic neurons of the forebrain are characterized by three main groups of transcription factors of the Distal-less-family, the POU-family, and ETS/FOX family, specific members of the ZIC- and LHX-family of transcription factors appear to define hindbrain inhibitory neurons.

Gene expression profiling of lichen planus reflects CXCL9+-mediated inflammation and distinguishes this disease from atopic dermatitis and psoriasis.

Here, we present data of a gene expression profiling approach to apply the diagnostic value and pathological significance of this method in different inflammatory skin diseases, using whole skin biopsies. Initially, SAGE was performed to identify frequent tags differentially expressed in various skin diseases. On the basis of these results, a new skin pathology-oriented PIQOR microarray was designed. Lichen planus (LP) was chosen as a model disease to evaluate this system. Controls included healthy skin, atopic dermatitis (AD), and psoriasis (Pso). Gene expression analyses using the topic-defined microarray followed by unclassified clustering was able to discriminate LP from AD and Pso. Genes significantly expressed in LP included type I IFN inducible genes and a specific chemokine expression pattern. The CXCR3 ligand, CXCL9, was the most significant marker for LP. In situ hybridization and immunohistochemistry confirmed the results and revealed that keratinocytes are type I IFN producers in LP skin lesions. Our results show that gene expression profiling using a skin-specific microarray is a reliable method to identify patients with LP in the chosen context and reflect recent models concerning the pathogenesis of this disease. Gene expression profiling might complement the diagnostic spectrum in dermatology and may provide new pathogenetic insights.

Sensitive gene expression profiling of human T cell subsets reveals parallel post-thymic differentiation for CD4+ and CD8+ lineages.

The differentiation of CD4(+) or CD8(+) T cells following priming of naive cells is central in the establishment of the immune response against pathogens or tumors. However, our understanding of this complex process and the significance of the multiple subsets of differentiation remains controversial. Gene expression profiling has opened new directions of investigation in immunobiology. Nonetheless, the need for substantial amount of biological material often limits its application range. In this study, we have developed procedures to perform microarray analysis on amplified cDNA from low numbers of cells, including primary T lymphocytes, and applied this technology to the study of CD4 and CD8 lineage differentiation. Gene expression profiling was performed on samples of 1000 cells from 10 different subpopulations, defining the major stages of post-thymic CD4(+) or CD8(+) T cell differentiation. Surprisingly, our data revealed that while CD4(+) and CD8(+) T cell gene expression programs diverge at early stages of differentiation, they become increasingly similar as cells reach a late differentiation stage. This suggests that functional heterogeneity between Ag experienced CD4(+) and CD8(+) T cells is more likely to be located early during post-thymic differentiation, and that late stages of differentiation may represent a common end in the development of T-lymphocytes.