Accurate Estimates of Microarray Target Concentration from a Simple Sequence-Independent Langmuir Model

Background: Microarray technology is a commonly used tool for assessing global gene expression. Many models for estimation of target concentration based on observed microarray signal have been proposed, but, in general, these models have been complex and platform-dependent. Principal Findings: We introduce a universal Langmuir model for estimation of absolute target concentration from microarray experiments. We find that this sequence-independent model, characterized by only three free parameters, yields excellent predictions for four microarray platforms, including Affymetrix, Agilent, Illumina and a custom-printed microarray. The model also accurately predicts concentration for the MAQC data sets. This approach significantly reduces the computational complexity of quantitative target concentration estimates. Conclusions: Using a simple form of the Langmuir isotherm model, with a minimum of parameters and assumptions, and without explicit modeling of individual probe properties, we were able to recover absolute transcript concentrations with high R 2 on four different array platforms. The results obtained here suggest that with a ‘‘spiked-in’ ’ concentration serie

A statistical method for excluding non-variable CpG sites in high-throughput DNA methylation profiling

<p>Abstract</p> <p>Background</p> <p>High-throughput DNA methylation arrays are likely to accelerate the pace of methylation biomarker discovery for a wide variety of diseases. A potential problem with a standard set of probes measuring the methylation status of CpG sites across the whole genome is that many sites may not show inter-individual methylation variation among the biosamples for the disease outcome being studied. Inclusion of these so-called "non-variable sites" will increase the risk of false discoveries and reduce statistical power to detect biologically relevant methylation markers.</p> <p>Results</p> <p>We propose a method to estimate the proportion of non-variable CpG sites and eliminate those sites from further analyses. Our method is illustrated using data obtained by hybridizing DNA extracted from the peripheral blood mononuclear cells of 311 samples to an array assaying 1505 CpG sites. Results showed that a large proportion of the CpG sites did not show inter-individual variation in methylation.</p> <p>Conclusions</p> <p>Our method resulted in a substantial improvement in association signals between methylation sites and outcome variables while controlling the false discovery rate at the same level.</p

Intravitreal bevacizumab in diabetic retinopathy. Recommendations from the Pan-American Collaborative Retina Study Group (PACORES): The 2016 knobloch lecture

The advent of intravitreal anti-vascular endothelial growth factor (anti-VEGF) medications has revolutionized the treatment of diabetic eye diseases. Herein, we report the outcomes of clinical studies carried out by the Pan-American Collaborative Retina Study Group (PACORES), with a specific focus on the efficacy of intravitreal bevacizumab in the management of diabetic macular edema and proliferative diabetic retinopathy. We will also discuss the use of intravitreal bevaci-zumab as a preoperative, adjuvant therapy before vitrectomy for prolif-erative diabetic retinopathy. Copyright © 2017 by Asia Pacific Academy of Ophthalmology

Application of Equilibrium Models of Solution Hybridization to Microarray Design and Analysis

Background: The probe percent bound value, calculated using multi-state equilibrium models of solution hybridization, is shown to be useful in understanding the hybridization behavior of microarray probes having 50 nucleotides, with and without mismatches. These longer oligonucleotides are in widespread use on microarrays, but there are few controlled studies of their interactions with mismatched targets compared to 25-mer based platforms. Principal Findings: 50-mer oligonucleotides with centrally placed single, double and triple mismatches were spotted on an array. Over a range of target concentrations it was possible to discriminate binding to perfect matches and mismatches, and the type of mismatch could be predicted accurately in the concentration midrange (100 pM to 200 pM) using solution hybridization modeling methods. These results have implications for microarray design, optimization and analysis methods. Conclusions: Our results highlight the importance of incorporating biophysical factors in both the design and the analysis of microarrays. Use of the probe ‘‘percent bound’ ’ value predicted by equilibrium models of hybridization is confirmed to be important for predicting and interpreting the behavior of long oligonucleotide arrays, as has been shown for shor

Sequence-dependent contribution of distal binding domains to CAP protein-DNA binding affinity.

We report measurements of the relative binding affinity of CAP for DNA sequences which have been systematically mutated in the region flanking the consensus binding site. Our experiments focus on the locus one helical turn from the dyad axis where DNA bending toward the minor groove is induced upon C-AP binding. The binding free energy and extent of bending are moderately well correlated for the set of 56 sequences. Changes in binding affinity spanning a factor of about 50 could be accounted for by additive contributions of dinucleotides; with a few exceptions, the relative ranking of dinucleotide contributions to binding and bending are similar. We conclude that dinucleotides are the smallest independent unit required for quantitative interpretation of CAP-induced DNA bending and binding in the distal domains of the CAP consensus binding site. The imperfect correlation between binding strength and extent of bending implies that sequence changes affect protein binding strength not only by altering the DNA deformation energy required to form the complex, but also by affecting directly the free energy of interaction between protein and DNA

Microarrays and genetic epidemiology: A multipurpose tool for a multifaceted field

The advent of molecular technologies that allow the collection and analysis of large amounts of genetic data is rapidly transforming the field of genetic epidemiology. Whether monitoring infectious outbreaks or identifying genotypic variations that underlie disease susceptibility, genetic epidemiology relies heavily on the analysis of multiple, independently derived results. By allowing the simultaneous monitoring of thousands of genetic or expression data points, microarrays are emerging as particularly powerful tools. Several recent reviews have described array manufacturing and the types of scientific questions that can exploit this technology, but few have addressed how the intended use of an array can dictate its design. This review will focus on this latter issue, with particular emphasis on the genetic epidemiology of infectious disease. The design of arrays for genotyping, expression profiling, and fingerprinting are presented, and examples of recent epidemiological studies are used to illustrate the applications' strong points and limitations. In addition to discussing arrays' ability to provide global views of gene identity or function, the review will describe design options for creating arrays that detect multiple genetic variations. It will also examine the reliability of array-generated fingerprints, assay accessibility, and possibilities for sharing and comparing data across studies. Although many challenges lie ahead, microarrays' multiple abilities appear uniquely poised to accelerate the advance of genetic epidemiology's multiple fronts. © 2002 Wiley-Liss, Inc

Non-immortalized human neural stem (NS) cells as a scalable platform for cellular assays

The utilization of neural stem cells and their progeny in applications such as disease modelling, drug screening or safety assessment will require the development of robust methods for consistent, high quality uniform cell production. Previously, we described the generation of adherent, homogeneous, non-immortalized mouse and human neural stem cells derived from both brain tissue and pluripotent embryonic stem cells (Conti et al., 2005; Sun et al., 2008). In this study, we report the isolation or derivation of stable neurogenic human NS (hNS) lines from different regions of the 8-9 gestational week fetal human central nervous system (CNS) using new serum-free media formulations including animal component-free conditions. We generated more than 20 adherent hNS lines from whole brain, cortex, lobe, midbrain, hindbrain and spinal cord. We also compared the adherent hNS to some aspects of the human CNS-stem cells grown as neurospheres (hCNS-SCns), which were derived from prospectively isolated CD133(+)CD24(-/lo) cells from 16 to 20 gestational week fetal brain. We found, by RT-PCR and Taqman low-density array, that some of the regionally isolated lines maintained their regional identity along the anteroposterior axis. These NS cells exhibit the signature marker profile of neurogenic radial glia and maintain neurogenic and multipotential differentiation ability after extensive long-term expansion. Similarly, hCNS-SC can be expanded either as neurospheres or in extended adherent monolayer with a morphology and marker expression profile consistent with radial glia NS cells. We demonstrate that these lines can be efficiently genetically modified with standard nucleofection protocols for both protein overexpression and siRNA knockdown of exogenously expressed and endogenous genes exemplified with GFP and Nestin. To investigate the functional maturation of neuronal progeny derived from hNS we (a) performed Agilent whole genome microarray gene expression analysis from cultures undergoing neuronal differentiation for up to 32 days and found increased expression over time for a number of drugable target genes including neurotransmitter receptors and ion channels and (b) conducted a neuropharmacology study utilizing Fura-2 Ca(2+) imaging which revealed a clear shift from an initial glial reaction to carbachol to mature neuron-specific responses to glutamate and potassium after prolonged neuronal differentiation. Fully automated culture and scale-up of select hNS was achieved; cells supplied by the robot maintained the molecular profile of multipotent NS cells and performed faithfully in neuronal differentiation experiments. Here, we present validation and utility of a human neural lineage-restricted stem cell-based assay platform, including scale-up and automation, genetic engineering and functional characterization of differentiated progeny