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PPAR-gamma gene polymorphisms and psoriatic arthritis.

OBJECTIVE: Peroxisome proliferator-activated receptor-gamma (PPAR-gamma) activation has been shown to play a role in suppressing angiogenesis and inflammation, both important pathological features of psoriatic arthritis (PsA). Given the potential physiological role for PPAR-gamma in PsA, we examined known coding polymorphisms in the PPAR-gamma gene in a Caucasian population. METHODS: PsA was diagnosed as an inflammatory arthritis in patients with psoriasis, in the absence of other etiologies for inflammatory arthritis. Control subjects were ascertained from the same population and were all Caucasian. DNA samples were genotyped for 4 PPAR-gamma variants by time-of-flight mass spectrometry using the Sequenom platform. All 4 single-nucleotide polymorphisms (SNP) were previously-reported coding variations, 3 of which caused an amino acid change: Pro12Ala (rs1801282), Pro40Ala (rs1805192), and Pro115Gln (rs1800571); the fourth SNP, C161T (rs3856806), was synonymous. All primers were designed using Sequenom SpectroDesigner software, and scanned using a mass spectrometry workstation. RESULTS: Of the 4 SNP examined, Pro40Ala and Pro115Gln were found to be nonpolymorphic in our population. Minor allele frequency for patients with PsA and controls for Pro12Ala (G) were 9.0% vs 13.8% (p = 0.017) and for C161T (T) 10.7% vs 12.0% (p = 0.56), respectively. All genotypes satisfied Hardy-Weinberg equilibrium. CONCLUSION: An association between PsA and a known coding SNP of the PPAR-gamma gene was observed in our Caucasian population. Further studies are now warranted for validation of our findings in an independent cohort.

Arthritis, Psoriatic↗

Tracking individual fish from a moving platform using a split-beam transducer.

Tracking of individual fish targets using a split-beam echosounder is a common method for investigating fish behavior. When mounted on a floating platform like a ship or a buoy, the transducer movement often complicates the process. This paper presents a framework for tracking single targets from such a platform. A filter based on the correlated fish movements between pings is developed to estimate the platform movement, and an extended Kalman filter is used to combine the split-beam measurements and the platform-position estimates. Different methods for gating and data association are implemented and tested with respect to data-association errors, using manually tracked data from a free-floating buoy as a reference. The data association was improved by utilizing the estimated velocity for each track to predict the location of the next observation. The data association was more robust when estimates of platform tilt/roll were used. Other techniques to estimate position and velocity, like linear regression and smoothing splines, were implemented and tested on a simulated data set. The platform-state estimation improved the estimates for methods like the Kalman filter and a smoothing spline with cross validation, but not for robust methods like linear regression and smoothing spline with a fixed degree of smoothing.

Animals↗

Spatial learning and memory at defined points of the estrous cycle: effects on performance of a hippocampal-dependent task.

Learning based on hippocampal-dependent spatial navigation in female rats was assessed at identified points in the estrous cycle corresponding to low (estrus) and high (proestrus) circulating estrogen. With background training in water-maze procedures, rats learned the location of an escape platform in the maze in a single session of 8 training trials. A strong spatial bias for the escape platform was also evident in a probe trial used to assess retention of learning 30 min after the training session. This entire protocol was completed in less than an hour. The performance of the estrus and proestrus rats was indistinguishable on all behavioral measures, irrespective of the stage of estrous cycle during the task. These results indicate that rapid learning and retention for spatial information over a relatively short interval may be preserved despite morphological alterations in hippocampal dendritic spine density in the normally cycling female rat.

Animals↗

Larval electroreceptors indicate a larval electric system in mormyrids.

The ontogeny of the electroreceptors of two species of mormyrids, Campylomormyrus cassaicus and Pollimyrus isidori, was studied. In young larvae (10 and 12 days old, respectively) ampullary organs, knollenorgans, promormyromasts and two types of tuberous organs (differing by their accessory cells) were found. These latter each possess a single sensory cell sitting on a platform of accessory cells. The platform is pierced by an unmyelinated nerve fibre. The promormyromast is composed of a single sensory cell surrounded by several accessory cells. The free apical area of the sensory cell and the accessory cells protrude into an intraepidermal cavity. The receptor cell is innervated by an unmyelinated nerve fibre ending in synaptic boutons. At the disappearance of the larval and appearance of the adult electric discharge the two types of tuberous organs degenerate, whereas the promormyromast differentiates into the typical mormyromast consisting of two types of sensory cells. The two types of tuberous organs and the promormyromast therefore are termed larval electroreceptors. Mormyrids are therefore the first group of electric fish possessing a complete larval electric system, comprising not only a larval electric organ, but also a larval electrosensory system.

Animals↗

Gene structure-based splice variant deconvolution using a microarray platform.

MOTIVATION: Alternative splicing allows a single gene to generate multiple mRNAs, which can be translated into functionally and structurally diverse proteins. One gene can have multiple variants coexisting at different concentrations. Estimating the relative abundance of each variant is important for the study of underlying biological function. Microarrays are standard tools that measure gene expression. But most design and analysis has not accounted for splice variants. Thus splice variant-specific chip designs and analysis algorithms are needed for accurate gene expression profiling. RESULTS: Inspired by Li and Wong (2001), we developed a gene structure-based algorithm to determine the relative abundance of known splice variants. Probe intensities are modeled across multiple experiments using gene structures as constraints. Model parameters are obtained through a maximum likelihood estimation (MLE) process/framework. The algorithm produces the relative concentration of each variant, as well as an affinity term associated with each probe. Validation of the algorithm is performed by a set of controlled spike experiments as well as endogenous tissue samples using a human splice variant array.

Algorithms↗

Multiplex SNP typing by bioluminometric assay coupled with terminator incorporation (BATI).

A multiplex single-nucleotide polymorphism (SNP) typing platform using 'bioluminometric assay coupled with terminator [2',3'-dideoxynucleoside triphosphates (ddNTPs)] incorporation' (named 'BATI' for short) was developed. All of the reactions are carried out in a single reaction chamber containing target DNAs, DNA polymerase, reagents necessary for converting PPi into ATP and reagents for luciferase reaction. Each of the four ddNTPs is dispensed into the reaction chamber in turn. PPi is released by a nucleotide incorporation reaction and is used to produce ATP when the ddNTP dispensed is complementary to the base in a template. The ATP is used in a luciferase reaction to release visible light. Only 1 nt is incorporated into a template at a time because ddNTPs do not have a 3' hydroxyl group. This feature greatly simplifies a sequencing spectrum. The luminescence is proportional to the amount of template incorporated. Only one peak appears in the spectrum of a homozygote sample, and two peaks at the same intensity appear for a heterozygote sample. In comparison with pyrosequencing using dNTP, the spectrum obtained by BATI is very simple, and it is very easy to determine SNPs accurately from it. As only one base is extended at a time and the extension signals are quantitative, the observed spectrum pattern is uniquely determined even for a sample containing multiplex SNPs. We have successfully used BATI to type various samples containing plural target sequence areas. The measurements can be carried out with an inexpensive and small luminometer using a photodiode array as the detector. It takes only a few minutes to determine multiplex SNPs. These results indicate that this novel multiplexed approach can significantly decrease the cost of SNP typing and increase the typing throughput with an inexpensive and small luminometer.

DNA Primers↗

Post-trial flicker stimulation interferes with spatial memory in the Morris water maze.

Rats (n = 20) trained under monocular viewing conditions in the working memory version of Morris water maze task received daily a single acquisition trial with a new location of the invisible escape platform followed after 15 min by a single retrieval trial. Escape latency decreased by 50% during retrieval. Flash stimulation (20 Hz, 0.6 J) during the entire 15-min delay disrupted retention, but this effect was not observed when the flashes started 3 or 5 min after acquisition. It is concluded that successful place learning requires a brief interference-free post-acquisition interval.

Animals↗

Investigation of serotonin-related genes in antidepressant response.

In this study, we sought out to test the hypothesis that genetic factors may influence antidepressant response to fluoxetine. The investigation focused on seven candidate genes in the serotonergic pathway involved in the synthesis, transport, recognition, and degradation of serotonin. Our clinical sample consisted of 96 subjects with unipolar major depression treated with fluoxetine with response variables assessed after a 12-week trial. Patient data were also collected to investigate the pattern of drug response. Using a high-throughput single-nucleotide polymorphism (SNP) genotyping platform and capillary electrophoresis, we genotyped patients at 110 SNPs and four repeat polymorphisms located in seven candidate genes (HTR1A, HTR2A, HTR2C, MAOA, SLC6A4, TPH1, and TPH2). Statistical tests performed included single-locus and haplotype association tests, and linkage disequilibrium (LD) estimation. Little evidence of population stratification was observed in the sample with 20 random SNPs using a genomic control procedure. Our most intriguing result involved three SNPs in the TPH1 gene and one SNP in the SLC6A4 gene, which show significant single-locus association when response to fluoxetine is compared to nonresponse (P=0.02-0.04). All odds ratios indicated an increased risk of not responding to fluoxetine. In the specific response vs nonspecific and nonresponse comparison, three SNPs in the TPH2 gene (P=0.02-0.04) were positively associated and one SNP in the HTR2A gene (P=0.02) was negatively associated. When comparing specific response to nonspecific response, we found significant negative associations in three SNPs in the HTR2A gene (P=0.001-0.03) and two SNPs in the MAOA gene (P=0.03-0.05). We observed variable, although strong LD, in each gene and unexpectedly low numbers of estimated haplotypes, formed from tagged SNPs. Significant haplotype associations were found in all but the HTR1A and HTR2C genes. Although these data should be interpreted cautiously due to the small sample size, these results implicate TPH1 and SLC6A4 in general response, and HTR2A, TPH2, and MAOA in the specificity of response to fluoxetine. Intriguingly, we observe that a number of the less frequent alleles of many of the SNP markers were associated with the nonresponse and nonspecific phenotypes.

Antidepressive Agents, Second-Generation↗

A pentavalent single-domain antibody approach to tumor antigen discovery and the development of novel proteomics reagents.

Proteomics research has delivered many novel tumor targets. However, due to key limitations, it does not specifically identify targets that are most accessible for drug delivery, such as cell-surface antigens. A novel tumor antigen discovery platform based on screening a single domain antibody (sdAb) library against tumor cells and subsequently identifying the corresponding antigens of the isolated antibodies is described. An sdAb, AFAI, specific for non-small cell lung carcinoma (A549 cell line) was isolated from a phage library derived from the heavy chain antibody repertoire of a llama. The homopentamerization property of a non-toxic verotoxin B-subunit was exploited to make the ES1 pentabody, a pentameric form of AFAI. Pentamerization improved the binding of the AFAI to A549 cells dramatically and greatly facilitated antigen identification by a Western blotting/mass spectrometry approach. The antigen of ES1, which is present only in the hydrophobic, not in the hydrophilic, fraction of A549 cellular proteins, was identified as carcinoembryonic antigen-related cell adhesion molecule 6 (CEA6). CEA6 was observed to be acidic and highly glycosylated, and to exist in multiple glycoforms. The results show that the platform described here should find wide application in antigen discovery, and demonstrated that the pentabodies are very useful immunological reagents for proteomics.

Amino Acid Sequence↗

Polyelectrolyte surface interface for single-molecule fluorescence studies of DNA polymerase.

We report the use of polyelectrolyte multilayers in a stable robust surface chemistry for specific anchoring of DNA to glass. The nonspecific binding of fluorescently tagged nucleotides is suppressed down to the single-molecule level, and DNA polymerase is active on the anchored DNA template. This surface-chemistry platform can be used for single-molecule studies of DNA and DNA polymerase and may be more broadly applicable for other situations in which it is important to have specific biomolecular surface chemistry with extremely low nonspecific binding.

Biotinylation↗

Multi-omic analyses of the same sample using metabolomics, lipidomics, proteomics, phosphoproteomics, and glycoproteomics.

Mass spectrometry (MS)-based multi-omics offers powerful tools to comprehensively characterize proteins, post-translational modifications, metabolites, and lipids. However, these measurements are typically performed using separate sample preparation workflows and modality-specific liquid chromatography mass spectrometry (LC-MS) platforms, limiting integration and constraining applications to small amounts of sample materials, especially scarce clinical specimens. Here, we describe a unified nano-LC-MS framework that enables metabolomic, lipidomic, proteomic, phosphoproteomic, and glycoproteomic analyses from the same starting material using a single nano-LC-MS platform, with only the chromatographic conditions, acquisition methods, and enrichment procedures tailored to each omics. This integrated strategy reduces workflow complexity and sample consumption while improves analytical continuity across molecular layers. By enabling deep multi-omics characterization from the same sample, this platform provides a practical foundation for comprehensive analysis of precious clinical samples.

Proteomics↗

Microtechnologies and nanotechnologies for single-cell analysis.

Many efforts are currently underway to try and mimic the properties of single cells with the aim of designing chips that are as efficient as cells. However, cells are nature's nanotechnology engineering at the scale of atoms and molecules, and it might be better to envision a microchip that utilizes a single cell as an experimentation platform. A novel, so-called laboratory-in-a-cell concept has been described, where advantage is taken of micro- and nanotechnological tools to enable precise control of the biochemical cellular environment; these tools also offer the possibility to analyse the composition of single cells. Methods for single-cell handling and analysis are being developed and will be required for this concept to progress further.

Animals↗

A single-cell atlas of multiple myeloma defines malignant archetypes and proliferative states.

Multiple myeloma (MM) is a plasma-cell malignancy with extensive genomic and transcriptional heterogeneity, limiting disease classification and precision therapy. Here we generated a clinically annotated, population-scale, single-cell atlas of MM from 341 individuals spanning the disease and treatment continuum. We identified five recurrent malignant transcriptional archetypes and an orthogonal proliferative program associated with genomic features, therapeutic resistance and clinical outcomes. Validation in the independent CoMMpass cohort demonstrated robustness, prognostic relevance and portability across platforms. We developed a single-cell, target-discovery pipeline prioritizing malignant enrichment, cell-type specificity and tissue restriction, identifying FCRL2 as a plasma-restricted or B cell-lineage-restricted surface target expressed by malignant plasma cells. FCRL2-targeted chimeric antigen receptor T cells demonstrated antigen-specific activity in vitro and survival benefit in vivo. Together, these data provide a clinically actionable blueprint for patient stratification and precision target nomination in plasma-cell malignancies.

Multiple Myeloma↗

Detection and manipulation of biomolecules by magnetic carriers.

The detection and manipulation of single molecules on a common platform would be of great interest for basic research of biological or chemical systems. A promising approach is the application of magnetic carriers. The principles are demonstrated in this contribution. It is shown that paramagnetic beads can be detected by highly sensitive magnetoresistive sensors yielding a purely electronic signal. Different configurations are discussed. The capability of the sensors to detect even single markers is demonstrated by a model experiment. In addition, the paramagnetic beads can be used as carriers for biomolecules. They can be manipulated on-chip via currents running through specially designed line patterns. Thus, magnetic markers in combination with magnetoresistive sensors are a promising choice for future integrated lab-on-a-chip systems.

Biopolymers↗

DNA-directed protein immobilization on mixed self-assembled monolayers via a streptavidin bridge.

The simultaneous detection of multiple analytes is an important consideration for the advancement of biosensor technology. Currently, few sensor systems possess the capability to accurately and precisely detect multiple antigens. This work presents a simple approach for the functionalization of sensor surfaces suitable for multichannel detection. This approach utilizes self-assembled monolayer (SAM) chemistry to create a nonfouling, functional sensor platform based on biotinylated single-stranded DNA immobilized via a streptavidin bridge to a mixed SAM of biotinylated alkanethiol and oligo(ethylene glycol). Nonspecific binding is minimized with the nonfouling background of the sensor surface. A usable protein chip is generated by applying protein-DNA conjugates which are directed to specific sites on the sensor chip surface by utilizing the specificity of DNA hybridization. The described platform is demonstrated in a custom-built surface plasmon resonance biosensor. The detection capabilities of a sensor using this protein array have been characterized using human chorionic gonadotropin (hCG). The platform shows a higher sensitivity in detection of hCG than that observed using biotinylated antibodies. Results also show excellent specificity in protein immobilization to the proper locations in the array. The vast number of possible DNA sequences combine with the selectivity of base-pairing makes this platform an excellent candidate for a sensor capable of multichannel protein detection.

Antibodies↗

DNA translocation in inorganic nanotubes.

Inorganic nanotubes were successfully integrated with microfluidic systems to create nanofluidic devices for single DNA molecule sensing. Inorganic nanotubes are unique in their high aspect ratio and exhibit translocation characteristics in which the DNA is fully stretched. Transient changes of ionic current indicate DNA translocation events. A transition from current decrease to current enhancement during translocation was observed on changing the buffer concentration, suggesting interplay between electrostatic charge and geometric blockage effects. These inorganic nanotube nanofluidic devices represent a new platform for the study of single biomolecule translocation with the potential for integration into nanofluidic circuits.

DNA↗

High content kinetic assays of neuronal signaling implemented on BD pathway HT.

A great deal of information can be gained from kinetic fluorescence-based measurement of cellular responses; however, until recently the use of such approaches has been limited by the manual nature of the instrumentation available. Higher-throughput kinetic studies of signaling pathways are greatly facilitated by new confocal, liquid handling-enabled, high content screening (HCS) platforms. In the present work, we have implemented one such instrument, the BD(TM) Pathway HT bioimager (BD Biosciences, Rockville, MD), for studying regulation of neuronal signaling pathways. We have established a neuronal calcium oscillation model, whereby rate of oscillation, amplitude of oscillation, and level of synchronicity across the culture can be measured. We have implemented membrane potential measurement using fluorescence resonance energy transfer-based dyes, for single cell characterization on this platform, showing the benefits of a truly flexible excitation and recording system; this dye combination cannot be readily implemented on all HCS platforms because of constraints of excitation wavelengths. We have validated long-term intracellular calcium imaging experiments, using innovative dyes and BD Pathway HT's spinning disk-based confocal excitation. To maximize both throughput and reproducibility, walk-away automation integration of this bioimaging technology has been implemented, producing an affordable, compact platform for fully automated kinetic HCS.

Amyloid beta-Protein Precursor↗

Renewable standard reference material for the detection of TP53 mutations.

BACKGROUND: Numerous DNA-based tests are currently in use or under development for the detection of mutations associated with disease. Most of the current methods use PCR amplification technologies and detection after separation or chromatography of the products. We have developed a panel of standard reference materials consisting of 12 plasmid clones containing a 2.0 kb region of the TP53 gene, including exons 5-9. Eleven of these clones contain a single mutation within the mutational hot spots of the TP53 gene, the twelfth is wild-type in this region of the gene. The mutations are amino acid (aa) 128: C to T; aa 175: G to A; aa 237: T to C; aa 245: G to A; aa 248: C to T; aa 248: G to A; aa 249: G to T; aa 273: C to T; aa 273: G to A; aa 282: C to T; and aa 328: T to C. These standard reference materials (SRMs), created by site-directed mutagenesis of wild-type TP53 from a human cell line, include the specific mutations most commonly found to be associated with cancer. Their use will improve disease detection by serving as validation materials to monitor errors in measurement methods, including PCR amplification, amplicon separation, and data analysis from different technology platforms. METHODS AND RESULTS: The single point mutations of the panel were validated by capillary electrophoresis single-strand conformational polymorphism analysis, denaturing gradient gel electrophoresis, and denaturing high-performance liquid chromatography, as well as full sequence analysis of both DNA strands of the cloned material. For both heteroduplex analysis methods, the presence of the mutations was resolved for each SRM. CONCLUSION: The generation of a standard TP53 reference panel and demonstration that the panel can successfully validate mutation detection across different mutation scanning technology platforms. Hence, this panel functions as an SRM to normalize results obtained from different laboratories using different techniques.

Base Sequence↗