A disposable two-throughput electrochemical immunosensor chip for simultaneous multianalyte determination of tumor markers

A disposable two-throughput immunosensor array was proposed for simultaneous electrochemical determination of tumor markers. The low-cost immunosensor array was fabricated simply using cellulose acetate membrane to co-immobilize thionine as a mediator and two kinds of antigens on two carbon electrodes of a screen-printed chip, respectively. With two simultaneous competitive immunoreactions the corresponding horseradish peroxidase (HRP) labeled antibodies were captured on the membranes, respectively, on which the immobilized thionine shuttled electrons between HRP and the electrodes for enzymatic reduction of H2O2 to produce detectable signals. The electrochemical and electronic cross-talks between the electrodes could be avoided, which was beneficial to the miniaturization of the array without considering the distance between immunosensors. Under optimal conditions the immunosensor array could be used for fast simultaneous electrochemical detection of CA 19-9 and CA 125 with the limits of detection of 0.2 and 0.4 U/ml, respectively. The serum samples from clinic were assayed with the proposed method and the results were in acceptable agreement with the reference values. The proposed method for preparation of immunosensor array could be conveniently used for fabrication of disposable electrochemical biochip with high throughput and possessed the potential of mass production and commercialization.     

A "signal-on" electrochemical aptasensor for simultaneous detection of two tumor markers

In this paper, we report a "signal-on" electrochemical aptasensor for simultaneous determination of two tumor markers MUC1 and VEGF(165), by using a ferrocene-labeled aptamer-complementary DNA (cDNA) as probe. Since the cDNA immobilized on an electrode surface can hybridize with both MUC1 aptamer and VEGF(165) aptamer to form a long double strand with ferrocene far away from the electrode surface, the probe cannot give electrochemical signal. Nevertheless, the presence of the two tumor markers will inhibit the hybridization of cDNA with the aptamers, thus the distance between ferrocene and the electrode is changed, and a "signal-on" electrochemical method to detect two tumor markers is developed. Experimental results show that the electrochemical signal increases with the addition of either tumor markers, but the biggest electrochemical signal can only be obtained when both tumor markers are present. Therefore, the proposed electrochemical aptasensor can not only detect the two markers but also distinguish their co-existence. It may also display high selectivity and sensitivity towards the detection of the tumor markers, so it might have potential clinical application in the future.     

An immunoblot assay for the simultaneous quantification of several antigens

A radioimmunologic assay method that allows for the simultaneous quantification of several antigens in one sample is described. Polypeptide antigens are resolved electrophoretically and electroblotted to nitrocellulose. The nitrocellulose is then reacted with a mixture of several antisera simultaneously, and antibody-binding proteins are visualized by incubation with 125I-protein A and by autoradiography. Antigens are identified according to their molecular weights and quantified by counting the bound radioactivity. The sensitivity of the assay is in the low nanogram range and can be adjusted individually for each antigen by appropriately diluting the first antiserum. The procedure is presently applied to the detection of three neural antigens, neural cell adhesion molecule, neuron-specific enolase, and synaptophysin, in adult brain tissue and to the assessment of expression of the latter two during development of brain cells in primary culture. The method is fast, comparatively cheap, and associated with a low radiation exposure. It should prove especially useful when only scarce amounts of sample are available.     

A case for simultaneous multiple chromosome rearrangements

A case is made for the occurrence of simultaneous multiple chromosome rearrangements as a mechanism for karyotypic change. The evidence for this type of rearrangement from population studies and rare mutant animals is reviewed and the structural prerequisites for such a mode of evolution are considered.     

Application of real-time PCR for simultaneous identification and quantification of larval abalone

A paucity of direct studies of marine invertebrate larval dispersal motivated the development of a high-throughput method for identification and quantification of pinto abalone (Haliotis kamtschatkana) larvae in seawater. DNA extracted from sample retentate provided template to screen for species-specific cytochrome oxidase I (COI) mitochondrial DNA sequence via quantitative PCR (QPCR) technology. Primers and a dual-labeled probe were designed and used to identify and quantify DNA from the target species in blind tests of unknown samples alongside a standard template quantity series. Quantity estimates derived from QPCR standard curves were verified via direct enumeration of larvae using light microscopy. Multiplex reactions containing an internal positive control minimized underestimation of quantity and false negatives via partial or full PCR inhibition, respectively. Planned controlled field release and collection experiments to examine larval dispersion patterns via sampling over short and long postrelease times anticipate similar QPCR assays for other marine invertebrate species to aid investigations of larval dispersal in the marine environment.     

Fluorescence-based bacterial overlay method for simultaneous in situ quantification of surface-attached bacteria

For quantification of bacterial adherence to biomaterial surfaces or to other surfaces prone to biofouling, there is a need for methods that allow a comparative analysis of small material specimens. A new method for quantification of surface-attached biotinylated bacteria was established by in situ detection with fluorescence-labeled avidin-D. This method was evaluated utilizing a silicon wafer model system to monitor the influences of surface wettability and roughness on bacterial adhesion. Furthermore, the effects of protein preadsorption from serum, saliva, human serum albumin, and fibronectin were investigated. Streptococcus gordonii, Streptococcus mitis, and Staphylococcus aureus were chosen as model organisms because of their differing adhesion properties and their clinical relevance. To verify the results obtained by this new technique, scanning electron microscopy and agar replica plating were employed. Oxidized and poly(ethylene glycol)-modified silicon wafers were found to be more resistant to bacterial adhesion than wafers coated with hydrocarbon and fluorocarbon moieties. Roughening of the chemically modified surfaces resulted in an overall increase in bacterial attachment. Preadsorption of proteins affected bacterial adherence but did not fully abolish the influence of the original surface chemistry. However, in certain instances, mostly with saliva or serum, masking of the underlying surface chemistry became evident. The new bacterial overlay method allowed a reliable quantification of surface-attached bacteria and could hence be employed for measuring bacterial adherence on material specimens in a variety of applications.     

New molecular tumor markers for endometrial cancer

Although the International Federation of Gynecology and Obstetrics officially changed the classification system of endometrial cancer from a clinically staged to a surgically staged disease in 1988, optimal management of patients with endometrial cancer is still controversial. Gynecologists happen to experience that patients with tumors that are identical in grade and stage often have significantly different clinical outcomes or responses to therapy. In order to identify an objective biological factor correlating with tumor aggressiveness, many tumor markers have been investigated. So far, CA125 is one of the most reliable tumor marker for adenocarcinoma of the uterus and frequently used in a clinical setting. Recently, with the advent of molecular biological techniques, many genes and regions of the genome related to endometrial cancer have been identified. We undertook a genome-wide screening to detect genetic changes by comparative genomic hybridization (CGH) in primary endometrioid cancers, since CGH analysis provides comprehensive information concerning relative chromosomal losses and gains in tumors by a single hybridization. In this paper, the usefulness of serum tumor markers and the new promising molecular tumor markers for endometrial cancer are discussed.     

Electrochemical and chemiluminescent immunosensors for tumor markers

The determination of serum tumor markers plays an important role in clinical diagnoses for the patients with certain tumor-associated disease. Although many commercial kits have been applied in clinical immunoassays, conventional methods always have some disadvantages, resulting in the need of other new, efficient, and easily automated methods. Immunosensors, considered as a major development in immunochemical field, have attracted considerable attention. With the aim of rapid screening, many immunosensors that are small, semi-automated and portable are being developed. This brief review focuses on the current research of immunosensors for tumor markers based on the electrochemical and chemiluminescent detection with emphasis on recent advances, challenges, and trends. The works on series of novel immunosensors developed for the determination of tumor markers in our group in the last few years are also introduced.     

Microarrays and molecular markers for tumor classification

Human cancers have traditionally been classified according to their tissue of origin, histological characteristics and, to some extent, molecular markers. Clinical studies have associated different tumor classes with differences in prognosis and in response to therapy. Measurement of the expression of thousands of genes in hundreds of cancer specimens has begun to reveal novel molecularly defined subclasses of tumor; some of these classes appear to predict clinical behavior, while others may define tumor types that are ripe for directed development of therapeutics. Unfortunately, at present, differences between studies of similar tumor types can be as striking as their similarities.     

Designing multiple simultaneous seeds for DNA similarity search.

The challenge of similarity search in massive DNA sequence databases has inspired major changes in BLAST-style alignment tools, which accelerate search by inspecting only pairs of sequences sharing a common short "seed," or pattern of matching residues. Some of these changes raise the possibility of improving search performance by probing sequence pairs with several distinct seeds, any one of which is sufficient for a seed match. However, designing a set of seeds to maximize their combined sensitivity to biologically meaningful sequence alignments is computationally difficult, even given recent advances in designing single seeds. This work describes algorithmic improvements to seed design that address the problem of designing a set of n seeds to be used simultaneously. We give a new local search method to optimize the sensitivity of seed sets. The method relies on efficient incremental computation of the probability that an alignment contains a match to a seed pi, given that it has already failed to match any of the seeds in a set Pi. We demonstrate experimentally that multi-seed designs, even with relatively few seeds, can be significantly more sensitive than even optimized single-seed designs.     

Microchip placement for identification of birds

Individual identification is important for both laboratory and pet birds. This column gives instructions for placement of microchips in birds and discusses the advantages and disadvantages of this method of identification.     

Biochemical evidence for simultaneous activation of multiple locus coeruleus efferents

To test the hypothesis that all locus coeruleus projections are simultaneously activated when the locus coeruleus cells fire, the norepinephrine metabolite 3-methoxy-4-hydroxyphenethyleneglycol was assayed in four regions of the central nervous system innervated by the locus coeruleus after three treatments designed to increase locus coeruleus firing in rats. Electrical stimulation of the locus coeruleus, intraperitoneal piperoxan treatment, and electric footschock all significantly increased MHPG levels in rat cerebral cortex, cerebellum, hippocampus, and spinal cord. The magnitude of MHPG increase was greater after locus coeruleus stimulation than after footshock or piperoxan. No significant differences between increases in the above brain regions were found within each treatment group.     

Towards omni-tomography--grand fusion of multiple modalities for simultaneous interior tomography

We recently elevated interior tomography from its origin in computed tomography (CT) to a general tomographic principle, and proved its validity for other tomographic modalities including SPECT, MRI, and others. Here we propose "omni-tomography", a novel concept for the grand fusion of multiple tomographic modalities for simultaneous data acquisition in a region of interest (ROI). Omni-tomography can be instrumental when physiological processes under investigation are multi-dimensional, multi-scale, multi-temporal and multi-parametric. Both preclinical and clinical studies now depend on in vivo tomography, often requiring separate evaluations by different imaging modalities. Over the past decade, two approaches have been used for multimodality fusion: Software based image registration and hybrid scanners such as PET-CT, PET-MRI, and SPECT-CT among others. While there are intrinsic limitations with both approaches, the main obstacle to the seamless fusion of multiple imaging modalities has been the bulkiness of each individual imager and the conflict of their physical (especially spatial) requirements. To address this challenge, omni-tomography is now unveiled as an emerging direction for biomedical imaging and systems biomedicine.     

Screening with tumor markers

Reviewing the literature it would appear that tumor markers have often flattered to deceive. Early promise does not often seem to be borne out in extended trials. Despite apparently high specificity, very few markers are capable of assisting in a screening process. This brief review attempts to put the roles of tumor markers in perspective and explain how their misapplication has led to misunderstanding of their potential value in a clinical context. It also considers the theoretical basis for their use and highlights how misunderstanding of these can lead to flawed studies and application.     

Detecting simultaneous changepoints in multiple sequences

We discuss the detection of local signals that occur at the same location in multiple one-dimensional noisy sequences, with particular attention to relatively weak signals that may occur in only a fraction of the sequences. We propose simple scan and segmentation algorithms based on the sum of the chi-squared statistics for each individual sample, which is equivalent to the generalized likelihood ratio for a model where the errors in each sample are independent. The simple geometry of the statistic allows us to derive accurate analytic approximations to the significance level of such scans. The formulation of the model is motivated by the biological problem of detecting recurrent DNA copy number variants in multiple samples. We show using replicates and parent-child comparisons that pooling data across samples results in more accurate detection of copy number variants. We also apply the multisample segmentation algorithm to the analysis of a cohort of tumour samples containing complex nested and overlapping copy number aberrations, for which our method gives a sparse and intuitive cross-sample summary.     

Apoptotic markers for tumor recurrence: a minireview

The control of apoptotic mechanisms is integral to many aspects of tumor biology and appears to be involved in the process of recurrence. Apoptosis serves as an essential mechanism to prevent the proliferation of cells with a higher mutation rate, thus tempering malignant transformation. Most antineoplastic therapies function by triggering apoptosis in sensitive cells. Resistance to treatment may result from specific inhibition of apoptotic signaling. Chemotherapy or radiation may increase the mutation rate and hasten tumor evolution in cancer cells that are resistant to apoptosis. Summarizing the current evidence regarding the usefulness of various apoptotic markers for predicting tumor recurrence, the most extensively studied appear to be bcl-2 and p53, as well as the apoptotic rate itself, with promising prognostic potential in several neoplasias. Investigative results, however, mostly refer to multiple single-center retrospective studies, awaiting validation by large prospective clinical trials. Despite initial optimism, it becomes apparent that the measurement of one or more gene products is inadequate to directly predict a phenomenon as complex as the clinical outcome. One of the challenges that is only beginning to be addressed is the combined assessment of traditional prognostic parameters and molecular biomarkers by creating models or equations to predict the likelihood of recurrence. Such screening of patients may help define prognostic categories and influence treatment decisions.     

Automated quantification of nuclear immunohistochemical markers with different complexity

Manual quantification of immunohistochemically stained nuclear markers is still laborious and subjective and the use of computerized systems for digital image analysis have not yet resolved the problems of nuclear clustering. In this study, we designed a new automatic procedure for quantifying various immunohistochemical nuclear markers with variable clustering complexity. This procedure consisted of two combined macros. The first, developed with a commercial software, enabled the analysis of the digital images using color and morphological segmentation including a masking process. All information extracted with this first macro was automatically exported to an Excel datasheet, where a second macro composed of four different algorithms analyzed all the information and calculated the definitive number of positive nuclei for each image. One hundred and eighteen images with different levels of clustering complexity was analyzed and compared with the manual quantification obtained by a trained observer. Statistical analysis indicated a great reliability (intra-class correlation coefficient > 0.950) and no significant differences between the two methods. Bland–Altman plot and Kaplan–Meier curves indicated that the results of both methods were concordant around 90% of analyzed images. In conclusion, this new automated procedure is an objective, faster and reproducible method that has an excellent level of accuracy, even with digital images with a high complexity.