Recovering circulating extracellular or cell-free RNA from bodily fluids

The presence of extracellular circulating or cell-free RNA in biological fluids is becoming a promising diagnostic tool for non invasive and cost effective cancer detection. Extracellular RNA or miRNA as biological marker could be used either for the early detection and diagnosis of the disease or as a marker of recurrence patterns and surveillance. In this review article, we refer to the origin of the circulating extracellular RNA, we summarise the data on the biological fluids (serum/plasma, saliva, urine, cerebrospinal fluid and bronchial lavage fluid) of patients suffering from various types of malignancies reported to contain a substantial amount of circulating extracellular (or cell-free) RNAs and we discuss the appropriate reagents and methodologies needed to be employed in order to obtain RNA material of high quality and integrity for the majority of the experimental methods used in RNA expression analysis. Furthermore, we discuss the advantages and disadvantages of the RT-PCR or microarray methodology which are the methods more often employed in procedures of extracellular RNA analysis.     

Elimination of keratin artifact bands from western blots by using low concentrations of reducing agents

We encountered β-mercaptoethanol-dependent artifact signals in western blot analyses using polyclonal antisera. Replacing β-mercaptoethanol with dithiothreitol in the loading buffer did not eliminate the artifact signals. However, lowering the concentration of either dithiothreitol or β-mercaptoethanol eliminated the background problems and allowed specific detection of the target protein. These results are consistent with the background signal being caused by anti-keratin antibodies in the antisera and keratin contamination of reagents. This study highlights the importance of testing a range of reducing agent concentrations when trying to eliminate artifact bands from western blots. However, this method may not be applicable when target proteins have disulfide bridges.     

Enhanced specificity in immunoscreening of expression cDNA clones using radiolabeled antigen overlay

A highly sensitive and specific method has been developed for immunoscreening clones from an expression cDNA library. The procedures utilize a radiolabeled antigen detection method described originally for the immunoblotting of plasma proteins (5). Screening of rat alpha 1-antitrypsin clones was used. Comparison between Western blots of alpha 1-antitrypsin using both labeled antigen and protein A detection methods showed that the former yielded lower background and greater sensitivity than the latter. Further, this technique was shown to have a lower detection limit of less than 20 ng through Western blot analysis of varying concentrations of alpha 1-antitrypsin. The procedures are based on the expression of the protein by cDNA clones containing the DNA inserts in the correct reading frame. Following the transfer of phage proteins to nitrocellulose membranes, the bivalent antibodies bind monovalently to both nitrocellulose-bound-antigen in the phage lysates and radiolabeled antigen. The radiolabeled antigen overlay method is superior to the protein A detection method in sensitivity, specificity and reproducibility. This improved method can be applied in general for screening expression cDNA libraries, provided that the specific antiserum and radiolabeled antigen are available.     

Ultraviolet nicking of large DNA molecules from pulsed-field gels for southern transfer and hybridization.

Large DNA molecules separated in pulsed-field gels are not efficiently transferred from the gel for Southern hybridization. Various procedures for fragmenting the DNA prior to transfer are in use, but quantitative details that permit reproducible application have not been reported. We have determined the optimum level of energy for uv nicking of large DNA needed to promote efficient Southern transfer and detection by hybridization. To ensure consistent results we have used a uv oven equipped with a detector that measures only 200-400 nm wavelengths, and we report the total energy delivered. Using uv nicking and the transfer techniques described, we can obtain hybridization signals overnight with single-copy DNA probes on Southern blots of large DNA fragments separated by pulsed-field gel electrophoresis.     

Thermostable lichenase as a translational reporter

Hybrid genes containing the reporter gene for thermostable lichenase and model genes recA, recA1, cry3a, cry3aM, and ssp1 were constructed. The expression of these genes was studied in prokaryotic and eukaryotic cells. The presence of lichenase in the hybrid proteins was shown to facilitate analysis of the hybrid protein expression in transgenic organisms. Owing to high relative activity and thermostability of lichenase, the activity of this enzyme can be measured by simple, rapid and sensitive qualitative and quantitative methods that do not require costly equipment and reagents. Using the zymograms method, molecular masses of the lichenase-containing hybrid proteins can be precisely estimated. This method is proposed instead of Western blotting using lichenase as a translational reporter. Our results showed that the use of thermostable lichenase as a translational reporter yields the data that are problematic to obtain using traditional methods of gene expression analysis, which is of importance for fundamental and applied research.     

Reverse-phase protein lysate microarrays for cell signaling analysis

'Reverse-phase' protein lysate microarray (RPA) assays use micro-scale, cell lysate dot blots that are printed to a substrate, followed by quantitative immunochemical protein detection, known to be particularly effective across many samples. Large-scale sample collection is a labor-intensive and time-consuming process; the information yielded from RPA assays, however, provides unique opportunities to experimentally interpret theoretical protein networks quantitatively. When specific antibodies are used, RPA can generate 1,000 times more data points using 10,000 times less sample volume than an ordinary western blot, enabling researchers to monitor quantitative proteomic responses for various time-scale and input-dose gradients simultaneously. Hence, the RPA system can be an excellent method for experimental validation of theoretical protein network models. Besides the initial screening of primary antibodies, collection of several hundreds of sample lysates from 1- to 8-h periods can be completed in approximately 10 d; subsequent RPA printing and signal detection steps require an additional 2-3 d.     

BlotBase: a northern blot database

With the availability of high-throughput gene expression analysis, multiple public expression databases emerged, mostly based on microarray expression data. Although these databases are of significant biomedical value, they do hold significant drawbacks, especially concerning the reliability of single gene expression profiles obtained by microarray data. Simultaneously, reliable data on an individual gene's expression are often published as single northern blots in individual publications. These data were not yet available for high-throughput screening. To reduce the gap between high-throughput expression data and individual highly reliable expression data, we designed a novel database "BlotBase", a freely and easily accessible database, currently containing approximately 700 published northern blots of human or mouse origin (http://www.medicalgenomics.org/Databases/BlotBase). As the database is open for public data submission, we expect this database to quickly become a large expression profiling resource, eventually providing higher reliability in high-throughput gene expression analysis. Realizing BlotBase, Pubmed was searched manually and by computer based text mining methods to obtain publications containing northern blot results. Subsequently, northern blots were extracted and expression values of different tissues calculated utilizing Image J. All data were made available through a user friendly web front end. The data may be searched by either full text search or list of available northern blots of a specific tissue. Northern blot expression profiles were displayed by three expression states as well as a bar chart, allowing for automated evaluation. Furthermore, we integrated additional features, e.g. instant access to the corresponding RNA sequence or primer design tools making further expression analysis more convenient. Finally, through a semiautomatic submission system this database was opened to the bioinformatics community.     

Dot-blot hybridization: quantitative analysis with direct beta counting.

The suitability of using direct beta counting (DBC) for quantitating radioactivity of the probe:target complex in dot-blot hybridization was evaluated using a Packard Matrix 96. A comparison of blots analyzed using autoradiography followed by densitometry scanning (film/densitometry) with those analyzed using direct beta counting revealed similar data trends with the two methods. However, direct beta counting quantitated the amount of radioactivity in the dot blots directly (without film exposure or additional sample preparation), which significantly reduced the time required to obtain results. Blots analyzed first with direct beta counting and then liquid scintillation counting exhibited similar data trends with both methods. Despite a decreased counting efficiency, analysis with direct beta counting has the following advantages compared with liquid scintillation counting: 1) no additional sample preparation is required (no vials or cocktail are used), 2) no sample destruction occurs due to analysis and 3) quantitative results are obtained more rapidly (since the radioactivity for all 96 samples in a dot blot is simultaneously determined in real time). Analysis with direct beta counting was also shown not to interfere with the successful reprobing of stripped dot blots with either unique sequence or total genomic probes. Overall, direct beta counting provides quick, quantitative results for dot blots while saving considerable time and effort.     

Detection of genetically modified organisms in foods

Legislation enacted worldwide to regulate the presence of genetically modified organisms (GMOs) in crops, foods and ingredients, necessitated the development of reliable and sensitive methods for GMO detection. In this article, protein- and DNA-based methods employing western blots, enzyme-linked immunosorbant assay, lateral flow strips, Southern blots, qualitative-, quantitative-, real-time- and limiting dilution-PCR methods, are discussed. Where information on modified gene sequences is not available, new approaches, such as near-infrared spectrometry, might tackle the problem of detection of non-approved genetically modified (GM) foods. The efficiency of screening, identification and confirmation strategies should be examined with respect to false-positive rates, disappearance of marker genes, increased use of specific regulator sequences and the increasing number of GM foods.     

Methods for acquisition of quantitative from confocal images of gene expression in situ

In this review we summarize original methods for the extraction quantitative information from the confocal images of gene expression patterns. These methods include image segmentation, extraction of quantitative numerical data on gene expression, removal of background signal and spatial registration. Finally it is possible to construct a spatiotemporal atlas of gene expression form individual images obtained at each developmental stage. Initially all methods were developed to extract quantitative numerical information form confocal images of segmentation gene expression in Drosophila melanogaster. Application of these methods to Drosophila images makes it possible to reveal new mechanisms of formation of segmentation gene expression domains, as well as to construct the quantitative atlas of segmentation gene expression. Most image processing procedures can be easily adapted to process a wide range of biological images.     

Multiplex detection and quantitation of proteins on western blots using fluorescent probes

The uses of multiplex detection methodologies are dramatically increasing as a means to increase sample throughput and to demonstrate quantitative differences between multiple targets in gene or protein expression analysis. In this study, we investigate the application of multiplex fluorescent detection for three proteins on the same Western blot using a laser-scanning imaging system, the Bio-Rad Molecular Imager FX. We show that independent detection and quantitation of multiple targets is achievable with little or no correction for fluorescent crosstalk by using fluorescent tags preferentially excited with different laser lines and detected at wavelengths that minimize fluorescence crosstalk. We demonstrate that the use of fluorescent detection methods can provide a tenfold greater quantifiable range but with two- to fourfold less sensitivity than chemiluminescent detection methodologies. Two examples of three-color multiplex detection using FITC-, Cy3- and Cy5-conjugated probes on Western blots are provided to demonstrate applications of this approach.     

Applications of real-time polymerase chain reaction for quantification of microorganisms in environmental samples

Due to the advanced development of fluorogenic chemistry, quantitative real-time polymerase chain reaction (qRT-PCR) has become an emerging technique for the detection and quantification of microorganisms in the environment. Compared with the conventional hybridization- and PCR-based techniques, qRT-PCR not only has better sensitivity and reproducibility, but it is also quicker to perform and has a minimum risk of amplicon carryover contamination. This article reviews the principle of this emerging technique, its detection reagents, target DNAs, quantification procedures, and affecting factors. The applications of qRT-PCR for the quantification of microorganisms in the environment are also summarized.     

SNO spectral counting (SNOSC), a label-free proteomic method for quantification of changes in levels of protein S-nitrosation

Abstract

S-Nitrosation plays an important role in regulation of protein function and signal transduction. Discovering S-nitrosated targets is a prerequisite for further functional study. However, current proteomic methods used to quantify S-nitrosation are limited in their applicability to certain types of samples, or by the need for special reagents and complex procedures to obtain the results. Here we devised a label-free proteomic method for quantification of changes in the level of protein S-nitrosation on the basis of a spectral counting strategy, called S-nitrosothiol (SNO) spectral counting (SNOSC). With this method, samples can be from any source (cells, tissues); there is no need for labelling reagents or procedures, and the results yield quantitative information. Moreover, as it is based on the irreversible biotinylation procedure (IBP) for S-nitrosation protein enrichment, false positive targets caused by the interference of intermolecular disulphide bonds are ruled out. Using SNOSC we studied S-nitrosation in the cell line RAW264.7 induced exogenously with S-nitrosoglutathione (GSNO), or induced endogenously by lipopolysaccharides/interferon-gamma (LPS/IFN-γ). We detected a significant increase in S-nitrosation of 50 proteins after exogenous induction and 17 proteins after endogenous induction. We thus demonstrate that SNOSC is a widely applicable proteomic method for fast screening of SNO proteins.     

SNO spectral counting (SNOSC), a label-free proteomic method for quantification of changes in levels of protein S-nitrosation

S-Nitrosation plays an important role in regulation of protein function and signal transduction. Discovering S-nitrosated targets is a prerequisite for further functional study. However, current proteomic methods used to quantify S-nitrosation are limited in their applicability to certain types of samples, or by the need for special reagents and complex procedures to obtain the results. Here we devised a label-free proteomic method for quantification of changes in the level of protein S-nitrosation on the basis of a spectral counting strategy, called S-nitrosothiol (SNO) spectral counting (SNOSC). With this method, samples can be from any source (cells, tissues); there is no need for labelling reagents or procedures, and the results yield quantitative information. Moreover, as it is based on the irreversible biotinylation procedure (IBP) for S-nitrosation protein enrichment, false positive targets caused by the interference of intermolecular disulphide bonds are ruled out. Using SNOSC we studied S-nitrosation in the cell line RAW264.7 induced exogenously with S-nitrosoglutathione (GSNO), or induced endogenously by lipopolysaccharides/interferon-gamma (LPS/IFN-γ). We detected a significant increase in S-nitrosation of 50 proteins after exogenous induction and 17 proteins after endogenous induction. We thus demonstrate that SNOSC is a widely applicable proteomic method for fast screening of SNO proteins.     

Methods for acquisition of quantitative data from confocal images of gene expression in situ

In this review, we summarize original methods for the extraction of quantitative information from confocal images of gene-expression patterns. These methods include image segmentation, the extraction of quantitative numerical data on gene expression, and the removal of background signal and spatial registration. Finally, it is possible to construct a spatiotemporal atlas of gene expression from individual images recorded at each developmental stage. Initially all methods were developed to extract quantitative numerical information from confocal images of segmentation gene expression in Drosophila melanogaster. The application of these methods to Drosophila images makes it possible to reveal new mechanisms in the formation of segmentation gene expression domains, as well as to construct a quantitative atlas of segmentation gene expression. Most image processing procedures can be easily adapted to process a wide range of biological images.     

Knowledge-based assessment of gene expression data from chemiluminescence detection.

The first problem in gene expression profiling to be solved is choosing the appropriate gene array, detection procedure, image analysis and data generation depending on the organism of interest, equipment and budget. The next one is how to deduce biologically meaningful data. We assessed gene expression data from chemiluminescent detection and empirically found criteria for the reliable identification of biologically meaningful expression ratios. Current statistical assessments are often applied unreflectedly concerning problems occurring in practice. So interesting results are considered to be irrelevant. This requires a laborious data check. We suggest automation. Our empirically found criteria were transformed into and validated by a knowledge-based system. This system is adaptable to all other methods of expression profiling. We compared the experience-based and new knowledge-based assessment of the expression data from our chemiluminescent and additionally radioactive detection of several experiments with published data to evaluate our entire procedure. With our adaptation of chemiluminescence detection to commercially available Escherichia coli gene arrays we present a useful alternative to common procedures in gene expression monitoring. Moreover, with our consideration of plasmid-harbouring E. coli strains we provide the opportunity to monitor gene expression during processes requiring any plasmids (e.g. recombinant protein expression).     

Thermostable lichenase as a translational reporter

Hybrid genes containing the reporter gene for thermostable lichenase and model genes recA, recA1, cry3a, cry3aM, and ssp1 were constructed. The expression of these genes was studied in prokaryotic and eukaryotic cells. The presence of lichenase in the hybrid proteins was shown to facilitate analysis of the hybrid protein expression in transgenic organisms. Owing to high relative activity and thermostability of lichenase, the activity of this enzyme can be measured by simple, rapid and sensitive qualitative and quantitative methods that do not require costly equipment and reagents. Using the zymograms method, molecular masses of the lichenase-containing hybrid proteins can be precisely estimated. This method is proposed instead of Western blotting using lichenase as a translational reporter. Our results showed that the use of thermostable lichenase as a translational reporter yields the data that are problematic to obtain using traditional methods of gene expression analysis, which is of importance for fundamental and applied research.Translated from Genetika, Vol. 41, No. 1, 2005, pp. 30–39.Original Russian Text Copyright © 2005 by Komakhin, Abdeeva, Salehi Dzhuzani, Goldenkova, Zhuchenko.     

Rapid isolation of monoclonal antibodies. Monitoring enzymes in the phytochelatin synthesis pathway.

Genomics projects have identified thousands of interesting new genes whose protein products need to be examined at the tissue, subcellular, and molecular levels. Furthermore, modern metabolic engineering requires accurate control of expression levels of multiple enzymes in complex pathways. The lack of specific immune reagents for characterization and monitoring of these numerous proteins limits all proteomic and metabolic engineering projects. We describe a rapid method of isolating monoclonal antibodies that required only sequence information from GenBank. We show that large synthetic peptides were highly immunogenic in mice and crude protein extracts were effective sources of antigen, thus eliminating the time-consuming step of purifying the target proteins for antibody production. A case study was made of the three-enzyme pathway for the synthesis of phytochelatins. Enzyme-linked immunosorbent assays and western blots with the recombinant proteins in crude extracts demonstrated that the monoclonal antibodies produced to synthetic peptides were highly specific for the different target proteins, gamma-glutamyl cysteine synthetase, glutathione synthetase, and phytochelatin synthase. Moreover, immunofluorescence localization studies with antibacterial gamma-glutamyl cysteine synthetase and antiglutathione synthetase antibodies demonstrated that these immune reagents reacted strongly with their respective target proteins in chemically fixed cells from transgenic plants. This approach enables research to progress rapidly from the genomic sequence of poorly characterized target genes, to protein-specific antibodies, to functional studies.     

Mapping glycosylation changes related to cancer using the Multiplexed Proteomics technology: a protein differential display approach

The metastatic spread of tumor cells in malignant progression is known to be a major cause of cancer mortality. Protein glycosylation is increasingly being recognized as one of the most prominent biochemical alterations associated with malignant transformation and tumorigenesis. The Multiplexed Proteomics (MP) approach is a new technology that permits quantitative, multicolor fluorescence detection of proteins in two-dimensional (2-D) gels and on Western blots. This methodology allows the parallel determination of both altered glycosylation patterns and protein expression level changes within a single 2-D gel experiment. The linear responses of the fluorescent dyes utilized allow rigorous quantitation of changes in protein expression over a broad 3-log linear dynamic range. Global analysis of changes in protein glycosylation and total protein expression is followed by dichromatic, lectin-based profiling methods for rapidly categorizing glycan branching structures. The MP approach was applied to whole tissue extracts of normal and cancerous liver, so that altered glycosylation modification patterns and protein expression levels could be determined. One prominent glycoprotein determined to be up-regulated in the tumor tissue was haptoglobin, an acute-phase response protein. The detection methodologies associated with the MP technology radically increase the information content of 2-D gel experiments. This new information greatly enhances the applicability of these experiments in addressing fundamental questions associated with proteome-wide glycosylation changes related to cancer.