Homeostatic IL-13 in healthy skin directs dendritic cell differentiation to promote TH2 and inhibit TH17 cell polarization.

The signals driving the adaptation of type 2 dendritic cells (DC2s) to diverse peripheral environments remain mostly undefined. We show that differentiation of CD11blo migratory DC2s-a DC2 population unique to the dermis-required IL-13 signaling dependent on the transcription factors STAT6 and KLF4, whereas DC2s in lung and small intestine were STAT6-independent. Similarly, human DC2s in skin expressed an IL-4 and IL-13 gene signature that was not found in blood, spleen and lung DCs. In mice, IL-13 was secreted homeostatically by dermal innate lymphoid cells and was independent of microbiota, TSLP or IL-33. In the absence of IL-13 signaling, dermal DC2s were stable in number but remained CD11bhi and showed defective activation in response to allergens, with diminished ability to support the development of IL-4+GATA3+ helper T cells (TH), whereas antifungal IL-17+RORγt+ TH cells were increased. Therefore, homeostatic IL-13 fosters a noninflammatory skin environment that supports allergic sensitization.

Diverse innate stimuli activate basophils through pathways involving Syk and IκB kinases.

Mature basophils play critical inflammatory roles during helminthic, autoimmune, and allergic diseases through their secretion of histamine and the type 2 cytokines interleukin 4 (IL-4) and IL-13. Basophils are activated typically by allergen-mediated IgE cross-linking but also by endogenous "innate" factors. The aim of this study was to identify the innate stimuli (cytokines, chemokines, growth factors, hormones, neuropeptides, metabolites, and bacterial products) and signaling pathways inducing primary basophil activation. Basophils from naïve mice or helminth-infected mice were cultured with up to 96 distinct stimuli and their influence on basophil survival, activation, degranulation, and IL-4 or IL-13 expression were investigated. Activated basophils show a heterogeneous phenotype and segregate into distinct subsets expressing IL-4, IL-13, activation, or degranulation markers. We find that several innate stimuli including epithelial derived inflammatory cytokines (IL-33, IL-18, TSLP, and GM-CSF), growth factors (IL-3, IL-7, TGFß, and VEGF), eicosanoids, metabolites, TLR ligands, and type I IFN exert significant direct effects on basophils. Basophil activation mediated by distinct upstream signaling pathways is always sensitive to Syk and IκB kinases-specific inhibitors but not necessarily to NFAT, STAT5, adenylate cyclase, or c-fos/AP-1 inhibitors. Thus, basophils are activated by very diverse mediators, but their activation seem controlled by a core checkpoint involving Syk and IκB kinases.

Scavenger receptor class B type I genetic variants associated with disease severity in chronic hepatitis C virus infection.

Analysis of host genetic polymorphisms is an increasingly important tool for understanding and predicting pathogenesis and treatment response of viral diseases. The gene locus of scavenger receptor class B type I (SR-BI), encoding a cell entry factor and receptor for hepatitis C virus (HCV), contains several genetic polymorphisms. We applied a probe extension assay to determine the frequency of six single nucleotide polymorphisms (SNPs) within the SR-BI gene locus in 374 individuals with history of HCV infection. In addition, SR-BI messenger RNA (mRNA) levels were analyzed in liver biopsy specimens of chronically infected HCV subjects. The rs5888 variant allele T was present at a higher frequency in subjects with advanced fibrosis (χ2 , p = 0.016) and after adjusting for age, duration of infection and alcohol intake as confounding factors. Haplotype analysis of SNP frequencies showed that a haplotype consisting of rs61932577 variant allele C and rs5888 variant allele T was associated with an increased risk of advanced liver fibrosis (defined by an Ishak score 4-6) (adjusted odds ratio 2.81; 95% confidence interval 1.06-7.46. p = 0.038). Carriers of the rs5888 variant allele T displayed reduced SR-BI mRNA expression in liver biopsy specimens. In conclusion the rs5888 polymorphism variant is associated with decreased SR-BI expression and an increased risk of development of advanced fibrosis in chronic HCV infection. These findings provide further evidence for a role of SR-BI in HCV pathogenesis and provides a genetic marker for prediction of those infected individuals at greater risk of developing severe disease.

Basophils promote barrier dysfunction and resolution in the atopic skin.

BACKGROUND: The type 2 cytokines IL-4 and IL-13 promote not only atopic dermatitis (AD) but also the resolution of inflammation. How type 2 cytokines participate in the resolution of AD is poorly known. OBJECTIVE: Our aim was to determine the mechanisms and cell types governing skin inflammation, barrier dysfunction, and resolution of inflammation in a model of AD. METHODS: Mice that exhibit expression of IL-4, IL-13, and MCPT8 or that could be depleted of basophils or eosinophils, be deficient in IL-4 or MHC class II molecules, or have basophils lacking macrophage colony-stimulating factor (M-CSF) were treated with calcipotriol (MC903) as an acute model of AD. Kinetics of the disease; keratinocyte differentiation; and leukocyte accumulation, phenotype, function, and cytokine production were measured by transepidermal water loss, histopathology, molecular biology, or unbiased analysis of spectral flow cytometry. RESULTS: In this model of AD, basophils were activated systemically and were the initial and main source of IL-4 in the skin. Basophils and IL-4 promoted epidermal hyperplasia and skin barrier dysfunction by acting on keratinocyte differentiation during inflammation. Basophils, IL-4, and basophil-derived M-CSF inhibited the accumulation of proinflammatory cells in the skin while promoting the expansion and function of proresolution M2-like macrophages and the expression of probarrier genes. Basophils kept their proresolution properties during AD resolution. CONCLUSION: Basophils can display both beneficial and detrimental type 2 functions simultaneously during atopic inflammation.

Quantitative Imaging of B1 Cyclin Expression Across the Cell Cycle Using Green Fluorescent Protein Tagging and Epifluorescence.

In this article, we report the number of cyclin B1 proteins tagged with enhanced green fluorescent protein (eGFP) in fixed U-2 OS cells across the cell cycle. We use a quantitative analysis of epifluorescence to determine the number of eGFP molecules in a nondestructive way, and integrated over the cell we find 104 to 105 molecules. Based on the measured number of eGFP tagged cyclin B1 proteins, knowledge of cyclin B1 dynamics through the cell cycle, and the cell morphology, we identify the stages of cells in the cell cycle. © 2020 The Authors. Cytometry Part A published by Wiley Periodicals LLC. on behalf of International Society for Advancement of Cytometry.

Exome-wide analysis of rare coding variation identifies novel associations with COPD and airflow limitation in MOCS3, IFIT3 and SERPINA12.

BACKGROUND: Several regions of the genome have shown to be associated with COPD in genome-wide association studies of common variants. OBJECTIVE: To determine rare and potentially functional single nucleotide polymorphisms (SNPs) associated with the risk of COPD and severity of airflow limitation. METHODS: 3226 current or former smokers of European ancestry with lung function measures indicative of Global Initiative for Chronic Obstructive Lung Disease (GOLD) 2 COPD or worse were genotyped using an exome array. An analysis of risk of COPD was carried out using ever smoking controls (n=4784). Associations with %predicted FEV1 were tested in cases. We followed-up signals of interest (p<10(-5)) in independent samples from a subset of the UK Biobank population and also undertook a more powerful discovery study by meta-analysing the exome array data and UK Biobank data for variants represented on both arrays. RESULTS: Among the associated variants were two in regions previously unreported for COPD; a low frequency non-synonymous SNP in MOCS3 (rs7269297, pdiscovery=3.08×10(-6), preplication=0.019) and a rare SNP in IFIT3, which emerged in the meta-analysis (rs140549288, pmeta=8.56×10(-6)). In the meta-analysis of % predicted FEV1 in cases, the strongest association was shown for a splice variant in a previously unreported region, SERPINA12 (rs140198372, pmeta=5.72×10(-6)). We also confirmed previously reported associations with COPD risk at MMP12, HHIP, GPR126 and CHRNA5. No associations in novel regions reached a stringent exome-wide significance threshold (p<3.7×10(-7)). CONCLUSIONS: This study identified several associations with the risk of COPD and severity of airflow limitation, including novel regions MOCS3, IFIT3 and SERPINA12, which warrant further study.

Kinetic analysis of intracellular Hoechst 33342--DNA interactions by flow cytometry: misinterpretation of side population status?

We outline a simple approach involving instrument setup and calibration for the analysis of Hoechst dye 33342-loading in human cell lines for exploring heterogeneity in dye efflux efficiency and the status of side population (SP) A549 lung cancer cells. Dual excitation 488 nm/multiline UV (351-364 nm) flow cytometry was used to confirm ABCG2-specific inhibition of dye efflux using Fumitremorgin C. Transporter gene expression, assayed by qRT-PCR, confirmed higher expression of ABCG2 versus ABCB1, reiterated in a cloned subline. Coexpression of aldehyde dehydrogenase genes ranked as aldehyde dehydrogenase class 1A1 (ALDH1A1) > ALDH3A1 > ALDH3, relative expression of all genes was again reiterated in a cloned subline. Permeabilized cells were used to create red:violet (660:405 nm Em wavelengths) ratiometric references for mapping temporal changes in Hoechst 33342-DNA fluorescence in live cells. A live cell "kinetic SP gate" tracked progressive dye loading of the whole population and coapplication of the far red (>695 nm wavelength) fluorescing dye DRAQ7 enabled viable cell gating. Kinetic gating revealed a continuum for dye accumulation suggesting that SP enumeration is critically dependent upon the nonlinear relationship of the spectral shift with progressive dye-DNA binding and thus requires accurate definition. To this end, permeabilized cell reference samples permit reproducible instrument setup, guide gate boundaries for SP and compromised cells, and offer a simple means of comparing SP enumeration across laboratory sites/platforms. Our approach reports the dynamic range for the spectral shift, revealing noninformative staining conditions and explaining a source of variability for SP enumeration. We suggest that live cell kinetic sorting of all cells with the same dye:DNA load but with differences in efflux capacity can be used to explore drug resistance capability without prejudice. The SP phenotype should be regarded as a kinetic parameter and not a fixed characteristic--critical for functional assay design and the interpretation of heterogeneity.

NCAM polysialylation during adherence transitions: live cell monitoring using an antibody-mimetic EGFP-endosialidase and the viability dye DRAQ7.

Polysialylation of neural cell adhesion molecule (NCAM) in small-cell lung cancer (SCLC) is thought to regulate NCAM-mediated cell-surface interactions, imparting antiadhesive properties to cells. However, SCLC cells in culture demonstrate anchorage-independent growth and spontaneously generate adherent forms. Here, the ability of polySia-NCAM to influence cell proliferation and adherence is unclear. We analyzed live SCLC cell polySia-NCAM expression by flow cytometry, using the novel combination of a polySia antibody-mimetic eGFP-tagged endosialidase and the viability dye DRAQ7. Enrichment for adherence (<30 population doublings) in SCLC cell lines resolved populations with increased (SHP-77 and COR-L279) or negligible (NCI-H69) polysialylation compared with nonadherent parent populations. Adherent forms retained NCAM expression as confirmed by immunofluorescence and immunoblotting. Initial transition to adherence and loss of polysialylation in NCI-H69 was linked to a reduced proliferation rate with no increase in cell death. This reduced proliferation rate was reiterated in vivo as determined by the growth of noninvasive subcutaneous xenografts in mice. Continued selection for enhanced substrate adherence in NCI-H69 (>150 population doublings) resolved cells with stable re-expression of polySia and increased growth rates both in vitro and in vivo. Endoneuraminidase removal of polySia from re-expressing cells showed that rapid adherence to extracellular matrix components was functionally independent of polySia. PolySia expression was not altered when isolated adherent forms underwent enforced cell-cell contact in three-dimensional culture. Coculture of polySia expression variants modulated overall polySia expression profiles indicating an influence of SCLC microcommunity composition independent of substrate adherence potential. We conclude that an obligatory linkage between substrate adherence potential and polySia expression is rejected for SCLC cells. We suggest that a degree of homeostasis operates to regulate polysialylation within heterogeneous cell populations. The findings suggest a new model for SCLC progression while the application of live cell profiling of polysialylation could be used to assess polySia-NCAM-targeted therapies.

Interoperability of time series cytometric data: a cross platform approach for modeling tumor heterogeneity.

The cell cycle, with its highly conserved features, is a fundamental driver for the temporal control of cell proliferation-while abnormal control and modulation of the cell cycle are characteristic of tumor cells. The principal aim in cancer biology is to seek an understanding of the origin and nature of innate and acquired heterogeneity at the cellular level, driven principally by temporal and functional asynchrony. A major bottleneck when mathematically modeling these biological systems is the lack of interlinked structured experimental data. This often results in the in silico models failing to translate the specific hypothesis into parameterized terms that enable robust validation and hence would produce suitable prediction tools rather than just simulation tools. The focus has been on linking data originating from different cytometric platforms and cell-based event analysis to inform and constrain the input parameters of a compartmental cell cycle model, hence partly measuring and deconvolving cell cycle heterogeneity within a tumor population. Our work has addressed the concept that the interoperability of cytometric data, derived from different cytometry platforms, can complement as well as enhance cellular parameters space, thus providing a more broader and in-depth view of the cellular systems. The initial aim was to enable the cell cycle model to deliver an improved integrated simulation of the well-defined and constrained biological system. From a modeling perspective, such a cross platform approach has provided a paradigm shift from conventional cross-validation approaches, and from a bioinformatics perspective, novel computational methodology has been introduced for integrating and mapping continuous data with cross-sectional data. This establishes the foundation for developing predictive models and in silico tracking and prediction of tumor progression

The role of IREB2 and transforming growth factor beta-1 genetic variants in COPD: a replication case-control study.

BACKGROUND: Genetic factors are known to contribute to COPD susceptibility and these factors are not fully understood. Conflicting results have been reported for many genetic studies of candidate genes based on their role in the disease. Genome-wide association studies in combination with expression profiling have identified a number of new candidates including IREB2. A meta-analysis has implicated transforming growth factor beta-1 (TGFbeta1) as a contributor to disease susceptibility. METHODS: We have examined previously reported associations in both genes in a collection of 1017 white COPD patients and 912 non-diseased smoking controls. Genotype information was obtained for seven SNPs in the IREB2 gene, and for four SNPs in the TGFbeta1 gene. Allele and genotype frequencies were compared between COPD cases and controls, and odds ratios were calculated. The analysis was adjusted for age, sex, smoking and centre, including interactions of age, sex and smoking with centre. RESULTS: Our data replicate the association of IREB2 SNPs in association with COPD for SNP rs2568494, rs2656069 and rs12593229 with respective adjusted p-values of 0.0018, 0.0039 and 0.0053. No significant associations were identified for TGFbeta1. CONCLUSIONS: These studies have therefore confirmed that the IREB2 locus is a contributor to COPD susceptibility and suggests a new pathway in COPD pathogenesis invoking iron homeostasis.

Flow-based cytometric analysis of cell cycle via simulated cell populations.

We present a new approach to the handling and interrogating of large flow cytometry data where cell status and function can be described, at the population level, by global descriptors such as distribution mean or co-efficient of variation experimental data. Here we link the "real" data to initialise a computer simulation of the cell cycle that mimics the evolution of individual cells within a larger population and simulates the associated changes in fluorescence intensity of functional reporters. The model is based on stochastic formulations of cell cycle progression and cell division and uses evolutionary algorithms, allied to further experimental data sets, to optimise the system variables. At the population level, the in-silico cells provide the same statistical distributions of fluorescence as their real counterparts; in addition the model maintains information at the single cell level. The cell model is demonstrated in the analysis of cell cycle perturbation in human osteosarcoma tumour cells, using the topoisomerase II inhibitor, ICRF-193. The simulation gives a continuous temporal description of the pharmacodynamics between discrete experimental analysis points with a 24 hour interval; providing quantitative assessment of inter-mitotic time variation, drug interaction time constants and sub-population fractions within normal and polyploid cell cycles. Repeated simulations indicate a model accuracy of +/-5%. The development of a simulated cell model, initialized and calibrated by reference to experimental data, provides an analysis tool in which biological knowledge can be obtained directly via interrogation of the in-silico cell population. It is envisaged that this approach to the study of cell biology by simulating a virtual cell population pertinent to the data available can be applied to "generic" cell-based outputs including experimental data from imaging platforms.

Long-term time series analysis of quantum dot encoded cells by deconvolution of the autofluorescence signal.

The monitoring of cells labeled with quantum dot endosome-targeted markers in a highly proliferative population provides a quantitative approach to determine the redistribution of quantum dot signal as cells divide over generations. We demonstrate that the use of time-series flow cytometry in conjunction with a stochastic numerical simulation to provide a means to describe the proliferative features and quantum dot inheritance over multiple generations of a human tumor population. However, the core challenge for long-term tracking where the original quantum dot fluorescence signal over time becomes redistributed across a greater cell number requires accountability of background fluorescence in the simulation. By including an autofluorescence component, we are able to continue even when this signal predominates (i.e., >80% of the total signal) and obtain valid readouts of the proliferative system. We determine the robustness of the technique by tracking a human osteosarcoma cell population over 8 days and discuss the accuracy and certainty of the model parameters obtained. This systems biology approach provides insight into both cell heterogeneity and division dynamics within the population and furthermore informs on the lineage history of its members.

Association of MMP-2 polymorphisms with severe and very severe COPD: a case control study of MMPs-1, 9 and 12 in a European population.

BACKGROUND: Genetic factors play a role in chronic obstructive pulmonary disease (COPD) but are poorly understood. A number of candidate genes have been proposed on the basis of the pathogenesis of COPD. These include the matrix metalloproteinase (MMP) genes which play a role in tissue remodelling and fit in with the protease--antiprotease imbalance theory for the cause of COPD. Previous genetic studies of MMPs in COPD have had inadequate coverage of the genes, and have reported conflicting associations of both single nucleotide polymorphisms (SNPs) and SNP haplotypes, plausibly due to under-powered studies. METHODS: To address these issues we genotyped 26 SNPs, providing comprehensive coverage of reported SNP variation, in MMPs- 1, 9 and 12 from 977 COPD patients and 876 non-diseased smokers of European descent and evaluated their association with disease singly and in haplotype combinations. We used logistic regression to adjust for age, gender, centre and smoking history. RESULTS: Haplotypes of two SNPs in MMP-12 (rs652438 and rs2276109), showed an association with severe/very severe disease, corresponding to GOLD Stages III and IV. CONCLUSIONS: Those with the common A-A haplotype for these two SNPs were at greater risk of developing severe/very severe disease (p = 0.0039) while possession of the minor G variants at either SNP locus had a protective effect (adjusted odds ratio of 0.76; 95% CI 0.61 - 0.94). The A-A haplotype was also associated with significantly lower predicted FEV1 (42.62% versus 44.79%; p = 0.0129). This implicates haplotypes of MMP-12 as modifiers of disease severity.

High-dimensional analysis of intestinal immune cells during helminth infection.

Single cell isolation from helminth-infected murine intestines has been notoriously difficult, due to the strong anti-parasite type 2 immune responses that drive mucus production, tissue remodeling and immune cell infiltration. Through the systematic optimization of a standard intestinal digestion protocol, we were able to successfully isolate millions of immune cells from the heavily infected duodenum. To validate that these cells gave an accurate representation of intestinal immune responses, we analyzed them using a high-dimensional spectral flow cytometry panel and confirmed our findings by confocal microscopy. Our cell isolation protocol and high-dimensional analysis allowed us to identify many known hallmarks of anti-parasite immune responses throughout the entire course of helminth infection and has the potential to accelerate single-cell discoveries of local helminth immune responses that have previously been unfeasible.

Parasitic worms known as helminths represent an important health problem in large parts of Africa, South America and Asia. Once their larvae enter the body, they head to the gut where they mature into adults and start laying eggs. In areas with poor sanitation, these may then get passed on to other individuals. To defend the body, the immune system sends large numbers of immune cells to the gut, but it usually struggles to eliminate the parasites. Without deworming medication, the infection can last for many years. Scientists study helminth infections in the laboratory by using worms that naturally infect mice. Understanding exactly how the immune system responds to the infection is essential to grasp why it fails to clear the worms. However, it is difficult to extract immune cells from an infected gut, as the infection creates strong local responses ­ such as an intense 'slime' production to try to flush out the worms. The standard procedure to obtain immune cells from the gut consists of three steps: collecting a gut segment and washing it, stripping away the surface layers with chemicals, and finally using enzymes to digest the tissues, which are then filtered to obtain individual cells. However, this protocol is not able to extract cells during infection. Ferrer-Font et al. therefore methodically refined every step of this method, and finally succeeded in obtaining millions of immune cells from infected guts. For the first time, these cells could then be studied and identified using a new technology called spectral flow cytometry. Over 40 immune cell types were followed throughout the course of infection, revealing that many 'first responders' immune cells were recruited to the gut early on, when the worms were still larvae. However, these cells disappeared once the worms developed into adults. These findings were confirmed by microscopy, which also showed that the first responder cells were found around the developing larvae, likely attacking them. When the adult worms developed, these cells were replaced by other immune cells, which also decreased the longer the worms were present in the gut. This new extraction process established by Ferrer-Font et al. can also be paired with other technologies that can, for example, reveal which genes are turned on in individual cells. This could help map out exactly how the body fights helminth infections, and how to improve this response. The method could also be useful to extract immune cells from the gut in other challenging scenarios, such food allergies or inflammatory bowel disorders.

A polymorphism of the alpha1-antitrypsin gene represents a risk factor for liver disease.

UNLABELLED: Alpha(1)-antitrypsin deficiency (AATD) due to homozygosity of the protease inhibitor (Pi) Z variant predisposes to childhood liver disease and pulmonary emphysema. About 10% of all neonates with AATD develop liver disease, and about 3% overall progress to severe disease. AATD is a principal genetic indication for liver transplantation in children. The liver pathology is associated with accumulation of abnormally folded protein in hepatocytes, the principal producers of circulating alpha(1)-antitrypsin (AAT). It is currently unknown why only a small proportion of Pi ZZ individuals progress to clinically significant cirrhosis. The AAT gene shows significant variation, and we hypothesized that cryptic genetic variants within the AAT gene may contribute to susceptibility to liver disease. In a case-control study consisting of 42 patients with established moderate-to-severe liver disease and 335 homozygous Pi ZZ patients who mostly presented with chronic obstructive pulmonary disease (n = 322: 242 index cases and 80 unaffected sibs) or were asymptomatic (n = 13) with no evidence of liver disease, we identified a single nucleotide polymorphism (SNP) that conferred a significant risk for liver disease (P = 0.007). The frequency of the SNP was no different in 242 Pi ZZ cases with chronic obstructive pulmonary disease compared with 80 nonindex cases. The SNP therefore appears to confer susceptibility to liver disease, although reporter gene assays failed to show any functional differences between alleles. CONCLUSION: This is the first description of a genetic modifier of liver disease in homozygous ZZ children and has potential implications for screening and possible therapies that are currently being developed.

The Basoph8 Mice Enable an Unbiased Detection and a Conditional Depletion of Basophils.

Basophils are granulocytes involved in parasite immunity and allergic diseases, known for their potent secretion of type 2 cytokines. Identifying their functions has proven to be controversial due to their relative rarity and their complex lineage phenotype. Here, we show that the expression of basophils lineage markers CD200R3 and FcεRIα is highly variable in inflammatory settings and hinders basophils identification by flow cytometry across multiple disease states or tissues. Fluorophore-conjugated antibody staining of these lineage markers strongly activates basophil type 2 cytokine expression, and represents a potential bias for coculture or in vivo transfer experiments. The Basoph8 is a mouse model where basophils specifically express a strong fluorescent reporter and the Cre recombinase. Basophils can be identified and FACS sorted unambiguously by their expression of the enhanced yellow fluorescent protein (eYFP) in these mice. We show that the expression of the eYFP is robust in vivo during inflammation, and in vitro on living basophils for at least 72 h, including during the induction of anaphylactoid degranulation. We bred and characterized the Basoph8xiDTR mice, in which basophils specifically express eYFP and the simian diphtheria toxin receptor (DTR). This model enables basophils conditional depletion relatively specifically ex vivo and in vivo during allergic inflammation and their detection as eYFP+ cells. In conclusion, we report underappreciated benefits of the commercially available Basoph8 mice to study basophils function.

The new genetics and chronic obstructive pulmonary disease.

Epidemiological and family studies provide evidence for genetic factors contributing to chronic obstructive airways disease (COPD) susceptibility. Studies to date have focused on candidate genes implicated in the pathogenesis of the disease. In general, many of these studies have been underpowered or have not been extensive enough in investigating the full extent of genetic variation in these genes. This has resulted in conflicting data with potential false positives or findings that have not been replicated. More recently, larger studies and extensive coverage of candidate genes have implicated genetic variants that may contribute to the disease. The use of unbiased genome-wide association studies offer the prospect of identifying new genes involved in COPD susceptibility and genetic modifiers of disease phenotypes. There is cause for optimism as a number of major complex diseases have been successfully tackled in this way. The review will highlight what has been achieved by genetic studies to date, some of the related problems and the future impact of high throughput technologies such as genome-wide association studies on our understanding of the genetic basis of COPD.

Observations of extensive gene expression differences in the cerebellum and potential relevance to Alzheimer's disease.

OBJECTIVES: In order to determine how gene expression is altered in disease it is of fundamental importance that the global distribution of gene expression levels across the disease-free brain are understood and how differences between tissue types might inform tissue choice for investigation of altered expression in disease state. The aim of this pilot project was to use RNA-sequencing to investigate gene expression differences between five general areas of post-mortem human brain (frontal, temporal, occipital, parietal and cerebellum), and in particular changes in gene expression in the cerebellum compared to cortex regions for genes relevant to Alzheimer's disease, as the cerebellum is largely preserved from disease pathology and could be an area of interest for neuroprotective pathways. RESULTS: General gene expression profiles were found to be similar between cortical regions of the brain, however the cerebellum presented a distinct expression profile. Focused exploration of gene expression for genes associated with Alzheimer's disease suggest that those involved in the immunity pathway show little expression in the brain. Furthermore some Alzheimer's disease associated genes display significantly different expression in the cerebellum compared with other brain regions, which might indicate potential neuroprotective measures.

Polygenic risk score in postmortem diagnosed sporadic early-onset Alzheimer's disease.

Sporadic early-onset Alzheimer's disease (sEOAD) exhibits the symptoms of late-onset Alzheimer's disease but lacks the familial aspect of the early-onset familial form. The genetics of Alzheimer's disease (AD) identifies APOEε4 to be the greatest risk factor; however, it is a complex disease involving both environmental risk factors and multiple genetic loci. Polygenic risk scores (PRSs) accumulate the total risk of a phenotype in an individual based on variants present in their genome. We determined whether sEOAD cases had a higher PRS compared to controls. A cohort of sEOAD cases was genotyped on the NeuroX array, and PRSs were generated using PRSice. The target data set consisted of 408 sEOAD cases and 436 controls. The base data set was collated by the International Genomics of Alzheimer's Project consortium, with association data from 17,008 late-onset Alzheimer's disease cases and 37,154 controls, which can be used for identifying sEOAD cases due to having shared phenotype. PRSs were generated using all common single nucleotide polymorphisms between the base and target data set, PRS were also generated using only single nucleotide polymorphisms within a 500 kb region surrounding the APOE gene. Sex and number of APOE ε2 or ε4 alleles were used as variables for logistic regression and combined with PRS. The results show that PRS is higher on average in sEOAD cases than controls, although there is still overlap among the whole cohort. Predictive ability of identifying cases and controls using PRSice was calculated with 72.9% accuracy, greater than the APOE locus alone (65.2%). Predictive ability was further improved with logistic regression, identifying cases and controls with 75.5% accuracy.