Profiling Expression Patterns and Isolating Differentially Expressed Genes by cDNA Microarray System with Colorimetry Detection

A high-density cDNA microarray with colorimetry detection system to simultaneously monitor the expression of many genes on nylon membrane is described and characterized. To quantify the expression of genes and to isolate differentially expressed genes, the southern hybridization process on filter membranes was employed. The levels of gene expression were represented by color intensities generated by colorimetric reactions in place of hazardous radioisotopes or costly laser-induced fluorescence detection. The gene expression patterns on nylon membranes were digitized by devices such as an economical flatbed scanner or a digital camera. The quantitative information of gene expression was retrieved by image analysis software. Quantitative comparison of the northern dot-blotting method with the microarray system is described. Applications employing single-color detection as well as dual-color detection to isolate differentially expressed genes among thousands of genes are demonstrated.     

Software for quantitation and visualization of expression array data

Software is described that facilitates the analysis of phosphoimages from large array hybridizations. The Macintosh PowerPC-compatible application and its manual are available at no charge from http:?people.bu.edu/strehlow. The software is compatible with both custom formats and array filters from three commercial manufacturers. It allows the rapid quantitation of every spot on images of hybridizations to large arrays. The user drags grids of squares over the spots on the image to define the coordinates of each spot, then aligns and edits the position of the grid. The software then corrects the positions as necessary and quantitates up to 27,000 spots per image. It stores the numerical values for each signal in a format called the fingerprint file. Fingerprint files can be directly averaged or compared, allowing the user to find mean values or differences in data from independent hybridization experiments. Data can be recalled from the fingerprint file and can be output in a variety of spreadsheet formats with several options for background correction. Finally, the software offers an output format that allows the convenient visualization of data points using animated, three-dimensional graphs.     

基因芯片在衣原体研究中的应用

基因芯片又称为DNA微阵列,是指将大量核酸片段以预先设计的方式固定在载体上组成密集分子阵列,与荧光素或其他方式标记的样品进行杂交,通过检测杂交信号的强弱来判断样品中有无靶分子以及对靶分子进行定量,是一种研究生物大分子功能的新技术。在衣原体研究方面,基因芯片主要应用于衣原体的检测与分型、感染机制的研究、特定基因作用分析、毒力及耐药基因的筛选等。     

一个东亚钳蝎蝎毒素BmTXKβ基因的克隆及其基因表达调控

从东亚钳蝎 (ButhusmartensiiKarsch ,BmK)毒腺组织cDNA文库中分离的长链钾通道毒素BmTXKβcDNA序列 ,克隆了BmTXKβ基因组序列 .BmTXKβ基因含有一个长度为 886bp的内含子 ,定位于BmTXKβ成熟肽中 ,与其它蝎毒素基因内含子定位于信号肽的基因结构不同 .并且 ,BmTXKβ基因的内含子特征也与其它蝎毒素基因不同 .研究结果从基因水平上证实了BmTXKβ是一个新的蝎毒素样肽 .以BmTXKβcDNA序列为探针与蝎基因组DNASouthern杂交出现 2条特异性杂交带 .杂交结果为蝎毒素基因可能通过DNA重排、多拷贝或多基因家族来调控基因表达提供了证据 .     

A simple method for simultaneous R- or G-banding and fluorescence in situ hybridization of small single-copy genes.

A significant improvement in fluorescence in situ hybridization, enabling the detection of single-copy genes as small as 500 bp directly on banded chromosomes, is presented. The induction of chromosome banding, which does not require additional handling or any system of amplification, is obtained simply by using an alkaline (pH 11) p-phenylenediamine anti-fade solution. As the banding produced is related to the timing of 5-bromodeoxyuridine incorporation, either R- or G-banding, constitutive heterochromatin staining, or chromosome asymmetry can be observed simultaneously with the fluorescent hybridized spots. Results of hybridization of small cDNA probes for the human genes for motilin, thymidylate synthetase, and lymphocyte activation-3 are provided as examples of the high-resolution mapping obtainable with this technique.     

A practical approach for quantitating specific mRNAs by solution hybridization

The preparation and use of a specific cDNA probe for quantitating mRNA by solution hybridization is described. Cloned DNA sequences are nick translated, denatured, hybridized to single-stranded M13 clones containing message strand (mDNA) sequences, and separated chromatographically on Bio-Gel A50 under first native and then denaturing conditions to yield a single-stranded cDNA probe. The details of a solution hybridization assay in which the single-stranded cDNA is used to quantitate mRNA in total nucleic acid samples are described. As little as 0.5 pg of mRNA can easily be detected within a day of sample isolation. Thus, the assay is both rapid and sensitive and can be used to measure RNAs complementary to any cloned DNA sequence. It is ideally suited to situations when accurate quantitation of multiple samples is anticipated.     

The gene for human chromogranin A (CgA) is located on chromosome 14

Chromogranin A (CgA) is a protein that is present in most neuroendocrine tissues and is co-secreted with their resident hormones. We have assigned the CgA gene to human chromosome 14 by hybridization of a CgA cDNA probe cloned from a cDNA library of human medullary thyroid carcinoma cells to spots of individual human chromosomes flow-sorted onto nitrocellulose filters. Southern analysis of human genomic DNA with the same probe revealed only 1-3 restriction bands. These studies indicate that the CgA gene is probably single copy and not a member of a dispersed, multigene family. The CgA gene is not co-localized with the genes of any of the CgA-associated hormones.     

Axeldb: a Xenopus laevis database focusing on gene expression

Axeldb is a database storing and integrating gene expression patterns and DNA sequences identified in a large-scale in situ hybridization study in Xenopus laevis embryos. The data are organised in a format appropriate for comprehensive analysis, and enable comparison of images of expression pattern for any given set of genes. Information on literature, cDNA clones and their availability, nucleotide sequences, expression pattern and accompanying pictures are available. Current developments are aimed toward the interconnection with other databases and the integration of data from the literature. Axeldb is implemented using an ACEDB database system, and available through the web at http://www.dkfz-heidelberg.de/abt0135/axeldb.htm     

Sandwich hybridization as a convenient method for the detection of nucleic acids in crude samples

A method based on three-DNA-component, sandwich hybridization has been designed for the detection and quantitation of nucleic acids in crude samples using adenovirus DNA as a model. Two non-overlapping restriction fragments of adenovirus type 2 (Ad2) DNA were cloned into two vectors, the pBR322 plasmid and M13 phage. The recombinant plasmid DNA was immobilized onto nitrocellulose filters and the single-stranded recombinant phage DNA was labeled with 125I and used as a probe. When these two reagents were incubated under annealing conditions no radioactivity became filter-bound; only if denatured adenovirus DNA was added as the third reagent, it mediated the attachment of the radioactive probe to the filters. Hybridization efficiency was shown to be dependent on both the filter and probe DNA concentrations and on the hybridization conditions. When standardized, the assay is quantitative, and under the conditions used 0.2 ng of adenovirus DNA (8 X 10(-6) pmol) could be detected by an overnight incubation. The test is suitable for crude samples, e.g., solubilized cell extracts, without any purification steps. Less than 100 cells infected with Ad2 can be detected, implying that the assay could be applicable to virus diagnostics.     

疣粒野生稻应答黄单胞杆菌水稻致病变种（Xoo）的基因芯片

探讨疣粒野生稻应答黄单胞杆菌水稻致病变种（Xoo）的基因芯片制作,通过芯片杂交筛选抗病相关基因。芯片含有2436个片段,来自于应答撖）O的疣粒野生稻差减文库和cDNA文库,通过芯片杂交及微阵列分析基因表达,选其中800个样品点测序比对。其中,35个无同源序列,大部分有同源序列的功能未知,已知功能的序列中明显上调表达的基因有：富含脯氨酸蛋白、泛素连接酶、伸展蛋白、谷胱甘肽S-转移酶II、脂类转移酶等,明显下调表达的基因有：细胞色素P450单加氧酶、醛缩酶、金属硫蛋白、硫氧还蛋白、热激蛋白等,表达无明显变化的基因有：抗坏血酸过氧化物酶、转铜伴侣、脂酶、花丝温敏H2A蛋白等。高通量基因芯片的利用及微阵列分析是筛选抗病相关基因、获取大量抗病相关信息的有效手段。     

POTION: an end-to-end pipeline for positive Darwinian selection detection in genome-scale data through phylogenetic comparison of protein-coding genes

Background

Detection of genes evolving under positive Darwinian evolution in genome-scale data is nowadays a prevailing strategy in comparative genomics studies to identify genes potentially involved in adaptation processes. Despite the large number of studies aiming to detect and contextualize such gene sets, there is virtually no software available to perform this task in a general, automatic, large-scale and reliable manner. This certainly occurs due to the computational challenges involved in this task, such as the appropriate modeling of data under analysis, the computation time to perform several of the required steps when dealing with genome-scale data and the highly error-prone nature of the sequence and alignment data structures needed for genome-wide positive selection detection.

Results

We present POTION, an open source, modular and end-to-end software for genome-scale detection of positive Darwinian selection in groups of homologous coding sequences. Our software represents a key step towards genome-scale, automated detection of positive selection, from predicted coding sequences and their homology relationships to high-quality groups of positively selected genes. POTION reduces false positives through several sophisticated sequence and group filters based on numeric, phylogenetic, quality and conservation criteria to remove spurious data and through multiple hypothesis corrections, and considerably reduces computation time thanks to a parallelized design. Our software achieved a high classification performance when used to evaluate a curated dataset of Trypanosoma brucei paralogs previously surveyed for positive selection. When used to analyze predicted groups of homologous genes of 19 strains of Mycobacterium tuberculosis as a case study we demonstrated the filters implemented in POTION to remove sources of errors that commonly inflate errors in positive selection detection. A thorough literature review found no other software similar to POTION in terms of customization, scale and automation.

Conclusion

To the best of our knowledge, POTION is the first tool to allow users to construct and check hypotheses regarding the occurrence of site-based evidence of positive selection in non-curated, genome-scale data within a feasible time frame and with no human intervention after initial configuration. POTION is available at http://www.lmb.cnptia.embrapa.br/share/POTION/.

Electronic supplementary material

The online version of this article (doi:10.1186/s12864-015-1765-0) contains supplementary material, which is available to authorized users.     

Comparative analysis of algorithms for signal quantitation from oligonucleotide microarrays

MOTIVATION: Recent years' exponential increase in DNA microarrays experiments has motivated the development of many signal quantitation (SQ) algorithms. These algorithms perform various transformations on the actual measurements aimed to enable researchers to compare readings of different genes quantitatively within one experiment and across separate experiments. However, it is relatively unclear whether there is a 'best' algorithm to quantitate microarray data. The ability to compare and assess such algorithms is crucial for any downstream analysis. In this work, we suggest a methodology for comparing different signal quantitation algorithms for gene expression data. Our aim is to enable researchers to compare the effect of different SQ algorithms on the specific dataset they are dealing with. We combine two kinds of tests to assess the effect of an SQ algorithm in terms of signal to noise ratio. To assess noise, we exploit redundancy within the experimental dataset to test the variability of a given SQ algorithm output. For the effect of the SQ on the signal we evaluate the overabundance of differentially expressed genes using various statistical significance tests. RESULTS: We demonstrate our analysis approach with three SQ algorithms for oligonucleotide microarrays. We compare the results of using the dChip software and the RMAExpress software to the ones obtained by using the standard Affymetrix MAS5 on a dataset containing pairs of repeated hybridizations. Our analysis suggests that dChip is more robust and stable than the MAS5 tools for about 60% of the genes while RMAExpress is able to achieve an even greater improvement in terms of signal to noise, for more than 95% of the genes.