Ordering up gene expression by slowing down transcription factor binding kinetics

Transcriptional and Epigenetic Bioinformatic Analysis of Claudin-9 Regulation in Gastric Cancer

Gastric cancer is a heterogeneous disease that represents 5% to 10% of all new cancer cases worldwide. Advances in histological diagnosis and the discovery of new genes have admitted new genomic classifications. Nevertheless, the bioinformatic analysis of gastric cancer databases has favored the detection of specific differentially expressed genes with biological significance. Claudins, a family of proteins involved in tight junction physiology, have emerged as the key regulators of cellular processes, such as growth, proliferation, and migration, associated with cancer progression. The expression of Claudin-9 in the gastric cancer tissue has been linked to poor prognosis, however, its transcriptional and epigenetic regulations demand a more comprehensive analysis. Using the neural network promoter prediction, TransFact, Uniprot-KB, Expasy-SOPMA, protein data bank, proteomics DB, Interpro, BioGRID, String, and the FASTA protein sequence databases and software, we found the following: (1) the promoter sequence has an unconventional structure, including different transcriptional regulation elements distributed throughout it, (2) GATA 4, GATA 6, and KLF5 are the key regulators of Claudin-9 expression, (3) Oct1, NF-κB, AP-1, c-Ets-1, and HNF-3β have the higher binding affinity to the CLDN9 promoter, (4) Claudin-9 interacts with cell differentiation and development proteins, (5) CLDN9 is highly methylated, and (6) Claudin-9 expression is associated with poor survival. In conclusion, Claudin-9 is a protein that should be considered a diagnostic marker as its gene promoter region binds to the transcription factors associated with the deregulation of cell control, enhanced cell proliferation, and metastasis.

Nested information processing in the living world

Living organisms create, copy, and make use of information, the content depending on the level of organization. In cells, a network of signal chain proteins regulates gene expression and other cell functions. Incoming information is encoded through signal reception, processed by the network, and decoded by the synthesis of new gene products and other biological functions. Signaling proteins represent nodes, and signal transmission proceeds via allosteric binding, chemical and structural modifications, synthesis, sequestering, and degradation. The induction of the gene caudal type homeobox 2 (CDX2) in the mammalian preimplantation embryo is outlined as a demonstration of this concept. CDX2 is involved in the decision of cells to enter the trophoblast lineage. Two signal chains are coordinated into an information processing model with the help of logic gates. The model introduces a formal structure that incorporates experimental and morphological data. Above the cell level, information flow relates to tissue formation and functioning, and whole cells play the role of network nodes. This is described for the anatomical patterning of bone with implications for bone formation and homeostasis. The information usage in cells and tissues is set into a context of the nervous system and the interaction of human individuals in societies, both established scenes of information processing.

Gene Regulation in and out of Equilibrium

Determining whether and how a gene is transcribed are two of the central processes of life. The conceptual basis for understanding such gene regulation arose from pioneering biophysical studies in eubacteria. However, eukaryotic genomes exhibit vastly greater complexity, which raises questions not addressed by this bacterial paradigm. First, how is information integrated from many widely separated binding sites to determine how a gene is transcribed? Second, does the presence of multiple energy-expending mechanisms, which are absent from eubacterial genomes, indicate that eukaryotes are capable of improved forms of genetic information processing? An updated biophysical foundation is needed to answer such questions. We describe the linear framework, a graph-based approach to Markov processes, and show that it can accommodate many previous studies in the field. Under the assumption of thermodynamic equilibrium, we introduce a language of higher-order cooperativities and show how it can rigorously quantify gene regulatory properties suggested by experiment. We point out that fundamental limits to information processing arise at thermodynamic equilibrium and can only be bypassed through energy expenditure. Finally, we outline some of the mathematical challenges that must be overcome to construct an improved biophysical understanding of gene regulation.

Transcriptomic analysis reveals the role of RcsB in suppressing bacterial chemotaxis, flagellar assembly and infection in Yersinia enterocolitica

Defining the Rcs (Regulator of Capsule Synthesis) regulon in Enterobacteriaceae has been the major focus of several recent studies. The overall role of the Rcs system in Yersinia enterocolitica is largely unknown. Our previous study showed that RcsB inhibits motility, biofilm formation and c-di-GMP production by negatively regulating flhDC, hmsHFRS and hmsT expression. To identify other cellular functions regulated by the RcsB, gene expression profiles of the wild type and ΔrcsB mutant were compared by RNA-Seq in this study. A total of 132 differentially expressed genes regulated by the RcsB have been identified, of which 114 were upregulated and 18 were downregulated. Further, the results of RNA sequencing were discussed with a focus on the predictive roles of RcsB in the inhibition of bacterial chemotaxis, flagellar assembly and infection. To confirm these predictions, we experimentally verified that the ΔrcsB mutant activated chemotactic behavior and flagella biosynthesis, and exhibited enhanced adhesion and invasion of Y. enterocolitica to Caco-2 cells. Although RcsB largely inhibits these physiological activities, the presence of RcsB is still of great significance for optimizing the survival of Y. enterocolitica as evidenced by our previous report that RcsB confers some level of resistance to the cationic antimicrobial peptide polymyxin B in Y. enterocolitica. Overall, the information provided in this study complements our understanding of Rcs phosphorelay in the regulation of Y. enterocolitica pathogenicity, and, simultaneously, provides clues to additional roles of the Rcs system in other members of family Enterobacteriaceae.

SosA in Staphylococci: an addition to the paradigm of membrane-localized, SOS-induced cell division inhibition in bacteria

In all living organisms, genome replication and cell division must be coordinated to produce viable offspring. In the event of DNA damage, bacterial cells employ the SOS response to simultaneously express damage repair systems and halt cell division. Extensive characterization of SOS-controlled cell division inhibition in Escherichia coli has laid the ground for a long-standing paradigm where the cytosolic SulA protein inhibits polymerization of the central division protein, FtsZ, and thereby prevents recruitment of the division machinery at the future division site. Within the last decade, it has become clear that another, likely more general, paradigm exists, at least within the broad group of Gram-positive bacterial species, namely membrane-localized, SOS-induced cell division inhibition. We recently identified such an inhibitor in Staphylococci, SosA, and established a model for SosA-mediated cell division inhibition in Staphylococcus aureus in response to DNA damage. SosA arrests cell division subsequent to the septal localization of FtsZ and later membrane-bound division proteins, while preventing progression to septum closure, leading to synchronization of cells at this particular stage. A membrane-associated protease, CtpA negatively regulates SosA activity and likely allows growth to resume once conditions are favorable. Here, we provide a brief summary of our findings in the context of what already is known for other membrane cell division inhibitors and we emphasize how poorly characterized these intriguing processes are mechanistically. Furthermore, we put some perspective on the relevance of our findings and future developments within the field.

A conserved role for transcription factor sumoylation in binding-site selection

Large numbers of eukaryotic transcription factors (TFs) are modified by SUMO post-translational modifications. Whereas the effect of TF sumoylation on the expression of target genes is largely context-dependent, it is not known whether the modification has a common function in regulating TFs throughout eukaryotic species. Here, I highlight four studies that used genome-wide chromatin-immunoprecipitation analysis (ChIP-seq) to examine whether sumoylation affects the selection of sites on the genome that are bound by human and yeast TFs. The studies found that impairing sumoylation led to deregulated binding-site selection for all four of the examined TFs. Predominantly, compared to wild-type forms, the sumoylation-deficient forms of the TFs bound to numerous additional non-specific sites, pointing to a common role for the modification in restricting TF binding to appropriate sites. Evidence from these studies suggests that TF sumoylation influences binding-site selection by modulating protein-protein interactions with other DNA-binding TFs, or by promoting conformational changes in the TFs that alter their DNA-binding specificity or affinity. I propose a model in which, prior to their sumoylation, TFs initially bind to chromatin with reduced specificity, which leads to spurious binding but also ensures that all functional sites become bound. Once the TFs are bound to DNA, sumoylation then acts to increase specificity and promotes release of the TFs from non-specific sites. The similar observations from these four genome-wide studies across divergent species suggest that binding-site selection is a general and conserved function for TF sumoylation.