Gene expression microarrays: glimpses of the immunological genome

Defective signal transduction in B lymphocytes lacking presenilin proteins

The mammalian presenilin (PS) proteins mediate the posttranslational cleavage of several protein substrates, including amyloid precursor protein, Notch family members, and CD44, but they have also been suggested to function in diverse cellular processes, including calcium-dependent signaling and apoptosis. We carried out an integrative computational study of multiple genomic datasets, including RNA expression, protein interaction, and pathway analyses, which implicated PS proteins in Toll-like receptor signaling. To test these computational predictions, we analyzed mice carrying a conditional allele of PS1 and a germ line-inactivating allele of PS2, together with Cre site-specific recombinase expression under the influence of CD19 control sequences. Notably, B cells deficient in both PS1 and PS2 function have an unexpected and substantial deficit in both lipopolysaccharide and B cell antigen receptor-induced proliferation and signal transduction events, including a defect in anti-IgM-mediated calcium flux. Taken together, these results demonstrate a fundamental and unanticipated role for PS proteins in B cell function and emphasize the potency of (systems level) integrative analysis of whole-genome datasets in identifying novel biologic signal transduction relationships. Our findings also suggest that pharmacologic inhibition of PS for the treatment of conditions such as Alzheimer's disease may have potential consequences for immune system function.

Gene expression trees in lymphoid development

BACKGROUND

The regulatory processes that govern cell proliferation and differentiation are central to developmental biology. Particularly well studied in this respect is the lymphoid system due to its importance for basic biology and for clinical applications. Gene expression measured in lymphoid cells in several distinguishable developmental stages helps in the elucidation of underlying molecular processes, which change gradually over time and lock cells in either the B cell, T cell or Natural Killer cell lineages. Large-scale analysis of these gene expression trees requires computational support for tasks ranging from visualization, querying, and finding clusters of similar genes, to answering detailed questions about the functional roles of individual genes.

RESULTS

We present the first statistical framework designed to analyze gene expression data as it is collected in the course of lymphoid development through clusters of co-expressed genes and additional heterogeneous data. We introduce dependence trees for continuous variates, which model the inherent dependencies during the differentiation process naturally as gene expression trees. Several trees are combined in a mixture model to allow inference of potentially overlapping clusters of co-expressed genes. Additionally, we predict microRNA targets.

CONCLUSION

Computational results for several data sets from the lymphoid system demonstrate the relevance of our framework. We recover well-known biological facts and identify promising novel regulatory elements of genes and their functional assignments. The implementation of our method (licensed under the GPL) is available at http://algorithmics.molgen.mpg.de/Supplements/ExpLym/.

Are oncoantigens suitable targets for anti-tumour therapy?

When a vaccine-elicited immune response is directed against oncoantigens--proteins required for the neoplastic process--the chance that the tumour will evade the vaccine should be reduced. But how can these causal oncoantigens be identified? One approach is to find tumour-associated and microenvironment-associated oncoantigens required for progression from one tumour stage to the next by comparing gene signatures isolated from the different stages of tumour progression in cancer-prone transgenic mice. Mouse oncoantigens subsequently shown to be involved in human cancer can then be validated in mouse vaccination experiments. This provides the groundwork for the rational design of cancer vaccines for clinical trials.

Immune signatures of murine and human cancers reveal unique mechanisms of tumor escape and new targets for cancer immunotherapy

PURPOSE

Despite lymphocyte infiltration of tumors and the activation of tumor-draining lymph nodes, malignant tumors are able to "escape" from both innate and adaptive immune responses. For immunotherapy to be successful, it must reverse these escape mechanisms, which necessitates explicit and tumor-specific elucidation of tumor escape strategies.

RESEARCH DESIGN

To identify relevant escape mechanisms in murine tumors and in two corresponding human cancers, real-time reverse transcription-PCR was used to measure a panel of genes associated with T-cell activation and inhibition pathways.

RESULTS

Comparative analysis of the expression levels of these immunomodulatory genes showed astonishing similarities in expression patterns between murine and human breast cancers but profound variability in the expression of immunomodulatory genes in colorectal cancers. For human ductal adenocarcinoma of the breast, down-regulation of dendritic cell maturation marker CD83 and T-cell activation gene CD28 was observed as well as a notable increase in the expression of the immunoinhibitory gene B7-H4. By contrast, colorectal adenocarcinoma cases showed high variability in tumor escape mechanisms, indicating a need to produce immune signatures for individual patients to identify appropriate immunotherapeutic targets.

CONCLUSIONS

These results show that certain tumors, such as ductal carcinoma of the breast, show consistent immunologic abnormalities that can be used as targets for immunotherapy. These findings also show the importance and feasibility of determining the immune signatures of patients' tumors to select appropriate immunotherapeutic strategies. Ultimately, these results advocate for the determination of immune signatures as part of the customary repertoire of clinical diagnostics for cancer.

Diagnostic Tools for Monitoring Kidney Transplant Recipients

Recent advancements in immunobiology have introduced several new diagnostic tools for monitoring kidney transplant recipients. These have been added to more established tests that, although imperfect, remain important benchmarks of diagnostic utility. Both new and old tests can be characterized with regard to their practicality, and as to whether they detect aberrant function or define the cause of dysfunction. Unfortunately, no current test is both practical and specific to a particular disease entity. Accordingly, the diagnosis of graft dysfunction remains dependent on the proper use and interpretation of many studies. This article reviews the current assays that have been evaluated in the clinic for the diagnosis of renal allograft-related diseases. These are limited to assays based on routinely obtainable samples such as blood, biopsy tissue, and urine. Newer studies are presented, along with more mundane assays, to highlight the practical use of studies regardless of their degree of mechanistic sophistication.

Idiotypic networks: toward a renaissance?

Idiotypic networks, after being a dominating paradigm for more than a decade, have fallen out of fashion in parallel with the rapid success of molecular immunobiology. Today signs of a possible renaissance in idiotypic network studies are visible. For system biologists and also for physicists, the network idea remains attractive. Herein, a short account of the historical development of the paradigm is given. The necessary technical and conceptual ingredients for a theoretical description of idiotypic networks are briefly reviewed, and previous approaches are discussed. We also describe a minimalistic model developed in our group that allows for understanding the random evolution toward a highly non-trivial complex architecture. In the network, a connected large cluster of idiotype clones and many disconnected ones coexist, thus resembling the notion of central and peripheral parts proposed in the 'second-generation' version of the paradigm. The connected cluster consists of groups of idiotypic clones with clearly distinct statistical properties. The simplicity of the model allows for calculating the size of the groups and the number of inter- and intragroup links, which define the architecture. Aspects of idiotypic interactions in experimental medicine are discussed, along with the challenges to theory and experimentation.

Asterias: integrated analysis of expression and aCGH data using an open-source, web-based, parallelized software suite

Asterias (http://www.asterias.info) is an open-source, web-based, suite for the analysis of gene expression and aCGH data. Asterias implements validated statistical methods, and most of the applications use parallel computing, which permits taking advantage of multicore CPUs and computing clusters. Access to, and further analysis of, additional biological information and annotations (PubMed references, Gene Ontology terms, KEGG and Reactome pathways) are available either for individual genes (from clickable links in tables and figures) or sets of genes. These applications cover from array normalization to imputation and preprocessing, differential gene expression analysis, class and survival prediction and aCGH analysis. The source code is available, allowing for extention and reuse of the software. The links and analysis of additional functional information, parallelization of computation and open-source availability of the code make Asterias a unique suite that can exploit features specific to web-based environments.

Molecular characterization of the immune system: emergence of proteins, processes, and domains

Many genes and proteins are required to carry out the processes of innate and adaptive immunity. For many studies, including systems biology, it is necessary to have a clear and comprehensive definition of the immune system, including the genes and proteins that take part in immunological processes. We have identified and cataloged a large portion of the human immunology-related genes, which we call the essential immunome. The 847 identified genes and proteins were annotated, and their chromosomal localizations were compared to the mouse genome. Relation to disease was also taken into account. We identified numerous pseudogenes, many of which are expressed, and found two putative new genes. We also carried out an evolutionary analysis of immune processes based on gene orthologs to gain an overview of the evolutionary past and molecular present of the human immune system. A list of genes and proteins were compiled. A comprehensive characterization of the member genes and proteins, including the corresponding pseudogenes is presented. Immunome genes were found to have three types of emergence in independent studies of their ontologies, domains, and functions.

Keeping up NF-κB appearances: Epigenetic control of immunity or inflammation-triggered epigenetics

Controlled expression of cytokine genes is an essential component of an immune response and is crucial for homeostasis. In order to generate an appropriate response to an infectious condition, the type of cytokine, as well as the cell type, dose range and the kinetics of its expression are of critical importance. The nuclear factor-kappaB (NF-kappaB) family of transcription factors has a crucial role in rapid responses to stress and pathogens (innate immunity), as well as in development and differentiation of immune cells (acquired immunity). Although quite a number of genes contain NF-kappaB-responsive elements in their regulatory regions, their expression pattern can significantly vary from both a kinetic and quantitative point of view, reflecting the impact of environmental and differentiative cues. At the transcription level, selectivity is conferred by the expression of specific NF-kappaB subunits and their respective posttranslational modifications, and by combinatorial interactions between NF-kappaB and other transcription factors and coactivators, that form specific enhanceosome complexes in association with particular promoters. These enhanceosome complexes represent another level of signaling integration, whereby the activities of multiple upstream pathways converge to impress a distinct pattern of gene expression upon the NF-kappaB-dependent transcriptional network. Today, several pieces of evidence suggest that the chromatin structure and epigenetic settings are the ultimate integration sites of both environmental and differentiative inputs, determining proper expression of each NF-kappaB-dependent gene. We will therefore discuss in this review the multilayered interplay of NF-kappaB signaling and epigenome dynamics, in achieving appropriate gene expression responses and transcriptional activity.