Inferring Contagion in Regulatory Networks

Several gene regulatory network models containing concepts of directionality at the edges have been proposed. However, only a few reports have an interpretable definition of directionality. Here, differently from the standard causality concept defined by Pearl, we introduce the concept of contagion in order to infer directionality at the edges, i.e., asymmetries in gene expression dependences of regulatory networks. Moreover, we present a bootstrap algorithm in order to test the contagion concept. This technique was applied in simulated data and, also, in an actual large sample of biological data. Literature review has confirmed some genes identified by contagion as actually belonging to the TP53 pathway.

HPV16 Tumor Associated Macrophages Suppress Antitumor T Cell Responses

Purpose: High-risk human papillomavirus (HPV) is the main etiologic factor for cervical cancer. The severity of HPV-associated cervical lesions has been correlated to the number of infiltrating macrophages. The objective of this work is to characterize the role of tumor-associated macrophages (TAM) on the immune cellular response against the tumor. Experimental Design: We used the HPV16 E6- and E7-expressing TC-1 mouse tumor model to study the effect of TAM on T-cell function in vitro, and depleted TAM, using clodronate-containing liposomes, to characterize its role in vivo. Results: TAM, characterized by the positive expression of CD45, F4/80, and CD11b, formed the major population of infiltrating tumor cells. TAM displayed high basal Arginase I activity, producing interleukin-10 (IL-10); they were resistant to iNOSll activity induction, therefore reversion to M1 phenotype, when stimulated in vitro with lipopolysaccharide/IFN gamma, indicating an M2 phentoype. In cultures of isolated TAM, TAM induced regulatory phenotype, characterized by IL-10 and Foxp3 expression, and inhibited proliferation of CD8 lymphocytes. In vivo, depletion of TAM inhibited tumor growth and stimulated the infiltration of tumors by HPV16 E7(49-57)-specific CD8 lymphocytes, whereas depletion of Gr1(+) tumor-associated cells had no effect. Conclusions: M2-like macrophages infiltrate HPV16-associated tumors causing suppression of antitumor T-cell response, thus facilitating tumor growth. Depletion or phenotype alteration of this population should be considered in immunotherapy strategies.

GRASSIUS: A Platform for Comparative Regulatory Genomics across the Grasses

Transcription factors (TFs) are major players in gene regulatory networks and interactions between TFs and their target genes furnish spatiotemporal patterns of gene expression. Establishing the architecture of regulatory networks requires gathering information on TFs, their targets in the genome, and the corresponding binding sites. We have developed GRASSIUS (Grass Regulatory Information Services) as a knowledge-based Web resource that integrates information on TFs and gene promoters across the grasses. In its initial implementation, GRASSIUS consists of two separate, yet linked, databases. GrassTFDB holds information on TFs from maize (Zea mays), sorghum (Sorghum bicolor), sugarcane (Saccharum spp.), and rice (Oryza sativa). TFs are classified into families and phylogenetic relationships begin to uncover orthologous relationships among the participating species. This database also provides a centralized clearinghouse for TF synonyms in the grasses. GrassTFDB is linked to the grass TFome collection, which provides clones in recombination-based vectors corresponding to full-length open reading frames for a growing number of grass TFs. GrassPROMDB contains promoter and cis-regulatory element information for those grass species and genes for which enough data are available. The integration of GrassTFDB and GrassPROMDB will be accomplished through GrassRegNet as a first step in representing the architecture of grass regulatory networks. GRASSIUS can be accessed from www.grassius.org.

Human regulatory protein Ki-1/57 has characteristics of an intrinsically unstructured protein

The human protein Ki-1/57 was first identified through the cross reactivity of the anti-CD30 monoclonal antibody Ki-1; in Hodgkin lymphoma cells. The expression of Ki-1/57 in diverse cancer cells and its phosphorylation in peripheral blood leukocytes after mitogenic activation suggested its possible role in cell signaling. Ki-1/57 interacts with several other regulatory proteins involved in cellular signaling, transcriptional regulation and RNA metabolism, suggesting it may have pleiotropic functions. In a previous spectroscopic analysis, we observed a low content of secondary structure for Ki-1/57 constructs. Here, Circular dichroism experiments, in vitro RNA binding analysis, and limited proteolysis assays of recombinant Ki-1/57(122-413) and proteolysis assays of endogenous full length protein from human HEK293 cells suggested that Ki-1/57 has characteristics of an intrinsically unstructured protein. Small-angle X-ray scattering (SAXS) experiments were performed with the C-terminal fragment Ki-1/57(122-413). These results indicated an elongated shape and a partially unstructured conformation of the molecule in solution, confirming the characteristics of an intrinsically unstructured protein. Experimental curves together with ab initio modeling approaches revealed an extended and flexible molecule in solution. An elongated shape was also observed by analytical gel filtration. Furthermore, sedimentation velocity analysis suggested that Ki-1/57 is a highly asymmetric protein. These findings may explain the functional plasticity of Ki-1/57, as suggested by the wide array of proteins with which it is capable of interacting in yeast two-hybrid interaction assays.