Effect of promoter architecture on the cell-to-cell variability in gene expression

According to recent experimental evidence, the architecture of a promoter, defined as the number, strength and regulatory role of the operators that control the promoter, plays a major role in determining the level of cell-to-cell variability in gene expression. These quantitative experiments call for a corresponding modeling effort that addresses the question of how changes in promoter architecture affect noise in gene expression in a systematic rather than case-by-case fashion. In this article, we make such a systematic investigation, based on a simple microscopic model of gene regulation that incorporates stochastic effects. In particular, we show how operator strength and operator multiplicity affect this variability. We examine different modes of transcription factor binding to complex promoters (cooperative, independent, simultaneous) and how each of these affects the level of variability in transcription product from cell-to-cell. We propose that direct comparison between in vivo single-cell experiments and theoretical predictions for the moments of the probability distribution of mRNA number per cell can discriminate between different kinetic models of gene regulation.Comment: 35 pages, 6 figures, Submitte

Helper Response to Experimentally Manipulated Predation Risk in the Cooperatively Breeding Cichlid Neolamprologus pulcher

Background We manipulated predation risk in a field experiment with the cooperatively breeding cichlid Neolamprologus pulcher by releasing no predator, a medium- or a large-sized fish predator inside underwater cages enclosing two to three natural groups. We assessed whether helpers changed their helping behaviour, and whether within-group conflict changed, depending on these treatments, testing three hypotheses: ‘pay-to-stay’ PS, ‘risk avoidance’ RA, or (future) reproductive benefits RB. We also assessed whether helper food intake was reduced under risk, because this might reduce investments in other behaviours to save energy. Methodology/Principal Findings Medium and large helpers fed less under predation risk. Despite this effect helpers invested more in territory defence, but not territory maintenance, under the risk of predation (supporting PS). Experimentally covering only the breeding shelter with sand induced more helper digging under predation risk compared to the control treatment (supporting PS). Aggression towards the introduced predator did not differ between the two predator treatments and increased with group member size and group size (supporting PS and RA). Large helpers increased their help ratio (helping effort/breeder aggression received, ‘punishment’ by the dominant pair in the group) in the predation treatments compared to the control treatment, suggesting they were more willing to PS. Medium helpers did not show such effects. Large helpers also showed a higher submission ratio (submission/ breeder aggression received) in all treatments, compared to the medium helpers (supporting PS). Conclusions/Significance We conclude that predation risk reduces helper food intake, but despite this effect, helpers were more willing to support the breeders, supporting PS. Effects of breeder punishment suggests that PS might be more important for large compared to the medium helpers. Evidence for RA was also detected. Finally, the results were inconsistent with RB

Allele-Independent Turnover of Human Leukocyte Antigen (HLA) Class Ia Molecules.

Major histocompatibility complex class I (MHCI) glycoproteins present cytosolic peptides to CD8+ T cells and regulate NK cell activity. Their heavy chains (HC) are expressed from up to three MHC gene loci (human leukocyte antigen [HLA]-A, -B, and -C in humans), whose extensive polymorphism maps predominantly to the antigen-binding groove, diversifying the bound peptide repertoire. Codominant expression of MHCI alleles is thus functionally critical, but how it is regulated is not fully understood. Here, we have examined the effect of polymorphism on the turnover rates of MHCI molecules in cell lines with functional MHCI peptide loading pathways and in monocyte-derived dendritic cells (MoDCs). Proteins were labeled biosynthetically with heavy water (2H2O), folded MHCI molecules immunoprecipitated, and tryptic digests analysed by mass spectrometry. MHCI-derived peptides were assigned to specific alleles and isotypes, and turnover rates quantified by 2H incorporation, after correcting for cell growth. MHCI turnover half-lives ranged from undetectable to a few hours, depending on cell type, activation state, donor, and MHCI isotype. However, in all settings, the turnover half-lives of alleles of the same isotype were similar. Thus, MHCI protein turnover rates appear to be allele-independent in normal human cells. We propose that this is an important feature enabling the normal function and codominant expression of MHCI alleles

Clinical phenotype is related to HLA genotype in the peripheral arthropathies of inflammatory bowel disease.

BACKGROUND and AIMS: The detection of phenotype-determining genes as opposed to disease susceptibility genes requires precise phenotypic characterization of patients. Peripheral arthropathies in inflammatory bowel disease (IBD) are well recognized and are classified with the HLA-B*27-related spondyloarthropathies by the European Spondyloarthropathy Study Group. However, previous HLA studies in IBD have only shown this association with axial disease rather than peripheral arthropathy. We recently reported a clinical classification that describes 2 types of peripheral arthropathy, distinguished by their natural history and articular distribution. We now report the results of immunogenetic studies in these patients and compare them with other spondyloarthropathies. METHODS: IBD patients with type 1 (n = 57) and type 2 (n = 45) peripheral arthropathy were identified by case note review and questionnaire. Patients and 603 controls from Oxfordshire were assigned HLA-A, -B, -C, -DR, and -DQ genotypes by sequence-specific primer polymerase chain reaction. Patient results were compared with controls (corrected for multiple comparisons), then with each other in light of existing hypotheses. The results were compared with those of a cohort of 30 patients with postenteric reactive arthritis (ReA) and 16 patients with IBD-associated ankylosing spondylitis (IBD-AS). RESULTS: Type 1 arthropathy was associated with HLA-DRB1*0103 (DR103; a rare subtype of DR1) in 33% (P < 0.0001; relative risk [RR], 12.1), B*35 in 30% (P = 0.01; RR, 2.2), and B*27 in 26% (P = 0. 001; RR, 4.0). In contrast, type 2 was associated with HLA-B*44 in 62% (P = 0.01; RR, 2.1). Similar significant associations to type 1 arthropathy were found in ReA, except that the HLA-B*27 association was significantly stronger and an association was found with DRB1*0101 (DR1) in 43% (P = 0.001; RR, 2.2). IBD-AS was associated only with HLA-B*27 and DRB1*0101. CONCLUSIONS: These data suggest that the clinical classification into type 1 and type 2 arthropathies describes immunogenetically distinct entities and establish that in polygenic disorders, genes may determine clinical phenotype without conferring overall disease susceptibility (in this case, HLA genes). Type 1 arthropathy is clinically and immunogenetically similar to the spondyloarthropathies, but different HLA associations may define phenotypically distinct groups. Type 2 arthropathy has different HLA associations and may have a different etiology. Further studies are now required to confirm these associations and to elucidate the different pathogenetic mechanisms

IRE1α mediates PKR activation in response to Chlamydia trachomatis infection.

Protein kinase RNA activated (PKR) is a crucial mediator of anti-viral responses but is reported to be activated by multiple non-viral stimuli. However, mechanisms underlying PKR activation, particularly in response to bacterial infection, remain poorly understood. We have investigated mechanisms of PKR activation in human primary monocyte-derived dendritic cells in response to infection by Chlamydia trachomatis. Infection resulted in potent activation of PKR that was dependent on TLR4 and MyD88 signalling. NADPH oxidase was dispensable for activation of PKR as cells from chronic granulomatous disease (CGD) patients, or mice that lack NADPH oxidase activity, had equivalent or elevated PKR activation. Significantly, stimulation of cells with endoplasmic reticulum (ER) stress-inducing agents resulted in potent activation of PKR that was blocked by an inhibitor of IRE1α RNAse activity. Crucially, infection resulted in robust IRE1α RNAse activity that was dependent on TLR4 signalling and inhibition of IRE1α RNAse activity prevented PKR activation. Finally, we demonstrate that TLR4/IRE1α mediated PKR activation is required for the enhancement of interferon-β production following C. trachomatis infection. Thus, we provide evidence of a novel mechanism of PKR activation requiring ER stress signalling that occurs as a consequence of TLR4 stimulation during bacterial infection and contributes to inflammatory responses