Measurement of bacterial gene expression in vivo by laser capture microdissection and quantitative real-time RT-PCR

Due to the relative small number of bacterial pathogens present in an infected host, exploration of pathogen gene expression in vivo is challenging. This study reports the development of a protocol for quantifying bacterial gene expression in vivo in Actinobacillus pleuropneumoniae using laser capture microdissection and real-time quantitative RT-PCR.     

Quantitative mRNA expression analysis in kidney glomeruli using microdissection techniques

The introduction of new tools for molecular analysis, such as RT-qPCR and microarrays, has provided researchers with powerful applications to study renal disease and development. However, the high cellular heterogeneity of the renal tissue complicates the molecular analysis of specific cells and cell groups such as glomerular or tubular cells. In the past, glomerular sieving and manual dissection were used for the isolation of glomeruli. However, these techniques cannot be used for the isolation of specific glomeruli or for the co-isolation of additional tissue fractions. In recent decades, new microdissection techniques such as laser-assisted microdissection have been developed. These applications allow the isolation of small cell groups from heterogeneous tissue for molecular analysis, including microarray and RT-qPCR. Although very promising, some drawbacks are associated with these techniques. The isolated sample material is generally small and requires sensitive assays. In addition, the long sample processing time may result in a considerable loss of RNA integrity. Careful optimization and rigorous quality analysis should overcome these drawbacks. In the present paper, the recent literature on the application of microdissection techniques in kidney research is reviewed, together with a discussion of the critical issues that are essential for the application of quantitative mRNA expression analysis with RT-qPCR on microdissected samples.     

Comparison in gene expression of secretory human endometrium using laser microdissection

Background  

The endometrium prepares for implantation under the control of steroid hormones. It has been suggested that there are complicated interactions between the epithelium and stroma in the endometrium during menstrual cycle. In this study, we demonstrate a difference in gene expression between the epithelial and stromal areas of the secretory human endometrium using microdissection and macroarray technique.     

Comprehensive analyses of microRNA gene evolution in paleopolyploid soybean genome

miRNA genes are thought to undergo quick birth and death processes in genomes and the emergence of a MIRNA‐like hairpin provides the base for functional miRNA gene formation. However, the factors affecting the formation of an active miRNA gene from a MIRNA‐like hairpin within a genome remain unclear. We performed a genome‐wide investigation of MIRNA‐like hairpin accumulation, expression, structural changes and relationships with annotated genomic features in the paleopolyploid soybean genome. Our results showed that adjacent gene and transposable element content, rates of genetic recombination at location of emergence, along with its own gene structure divergence greatly affected miRNA gene evolution. Further investigation suggested that miRNA genes from different duplication sources followed distinct evolutionary trajectories and that the accumulation of MIRNA‐like hairpins might be an important factor in causing long terminal repeat retrotransposons to lose activity during genome evolution.     

Laser microdissection and pressure-catapulting technique to study gene expression in the reoxygenated myocardium

For focal events such as myocardial infarction, it is important to dissect infarction-induced biological responses as a function of space with respect to the infarct core. Laser microdissection pressure catapulting (LMPC) represents a recent variant of laser capture microdissection that enables robot-assisted rapid capture of catapulted tissue without direct user contact. This work represents the maiden effort to apply laser capture microdissection to study spatially resolved biological responses in myocardial infarction. Infarcted areas of the surviving ischemic-reperfused murine heart were identified using a standardized hematoxylin QS staining procedure. Standard staining techniques fail to preserve tissue RNA. Exposure of the tissue to an aqueous medium (typically used during standard immunohistochemical staining), with or without RNase inhibitors, resulted in a rapid degradation of genes, with approximately 80% loss in the 1st h. Tissue elements (1 x 10(4)-4 x 10(6) microm(2)) captured from infarcted and noninfarcted sites with micrometer-level surgical precision were collected in a chaotropic RNA lysis solution. Isolated RNA was analyzed for quality by microfluidics technology and reverse transcribed to generate high-quality cDNA. Real-time PCR analysis of the cDNA showed marked (200- and 400-fold, respectively) induction of collagen Ia and IIIa at the infarcted site compared with the noninfarcted site. This work reports a sophisticated yet rapid approach to measurement of relative gene expressions from tissue elements captured from spatially resolved microscopic regions in the heart with micrometer-level precision.     

Tissue culture studies; standardization of techniques for quantitative culturing

Reproducible conditions have been described for quantitative tissue culturing in which all constituents including the tissue itself are added in known quantities to the culture. The conditions for transfer, cutting, and manipulation of tissue are also described. The data show that such culturing can be performed without loss or significant alteration of the nitrogen and phosphorus content of the tissue.     

Application of laser-capture microdissection to analysis of gene expression in the testis

The isolation and molecular analysis of highly purified cell populations from complex, heterogeneous tissues has been a challenge for many years. Spermatogenesis in the testis is a particularly difficult process to study given the unique multiple cellular associations within the seminiferous epithelium, making the isolation of specific cell types difficult. Laser-capture microdissection (LCM) is a recently developed technique that enables the isolation of individual cell populations from complex tissues. This technology has enhanced our ability to directly examine gene expression in enriched testicular cell populations by routine methods of gene expression analysis, such as real-time RT-PCR, differential display, and gene microarrays. The application of LCM has however introduced methodological hurdles that have not been encountered with more conventional molecular analyses of whole tissue. In particular, tissue handling (i.e. fixation, storage, and staining), consumables (e.g. slide choice), staining reagents (conventional H&E vs. fluorescence), extraction methods, and downstream applications have all required re-optimisation to facilitate differential gene expression analysis using the small amounts of material obtained using LCM. This review will discuss three critical issues that are essential for successful procurement of cells from testicular tissue sections; tissue morphology, capture success, and maintenance of molecular integrity. The importance of these issues will be discussed with specific reference to the two most commonly used LCM systems; the Arcturus PixCell IIe and PALM systems. The rat testis will be used as a model, and emphasis will be placed on issues of tissue handling, processing, and staining methods, including the application of fluorescence techniques to assist in the identification of cells of interest for the purposes of mRNA expression analysis.     

Toward kingdom-wide analyses of gene expression

Gene expression data for Archaeplastida are accumulating exponentially, with more than 300 000 RNA-sequencing (RNA-seq) experiments available for hundreds of species. The gene expression data stem from thousands of experiments that capture gene expression in various organs, tissues, cell types, (a)biotic perturbations, and genotypes. Advances in software tools make it possible to process all these data in a matter of weeks on modern office computers, giving us the possibility to study gene expression in a kingdom-wide manner for the first time. We discuss how the expression data can be accessed and processed and outline analyses that take advantage of cross-species analyses, allowing us to generate powerful and robust hypotheses about gene function and evolution.     

Dynamic covariation between gene expression and genome characteristics

Gene and protein expression is controlled so that cells can react to changing intra- and extracellular signals by modulating biochemical networks and pathways. We have previously shown that gene expression and the properties of expressed proteins are dynamically correlated. Here we investigated correlations between gene related parameters and gene expression patterns, and found statistically significant correlations in microarray datasets for different cell types, organisms and processes, including human B and T cell stimulation, cell cycle in HeLa cells, infection in intestinal epithelial cells, Drosophila melanogaster life span, and Saccharomyces cerevisiae cell cycle. Our method was applied to time course datasets individually for each time point. We derived from sequence information numerous parameters for nucleotide composition, two-base composition, codon usage, skew parameters, and codon bias. In addition to coding regions, we also investigated correlations for complete genes and introns. Significant dynamic correlations were identified for each of the analyses. Our method also proved useful for detecting dynamic shifts in gene expression profiles, such as in the D. melanogaster dataset. Detection of changes in the properties of expressed genes and proteins might be useful for predicting or following biological processes, responses, growth, differentiation and possibly in related disorders.     

Validation of extraction methods for total RNA and miRNA from bovine blood prior to quantitative gene expression analyses

The benefit and precision of blood diagnosis by quantitative real-time PCR (qPCR) is limited by sampling procedures and RNA extraction methods. We have compared five different RNA extraction protocols from bovine blood regarding RNA and miRNA yield, quality, and most reproducible data in the qRT-PCR with the lowest point of quantification. Convincing results in terms of highest quantity, quality, and best performance for mRNA qPCR were obtained by leukocyte extraction following blood lysis as well as extraction of PAXgene stabilized blood. The best microRNA qPCR results were obtained for samples extracted by the leukocyte extraction method.     

Pluripotent-related gene expression analyses in single porcine recloned embryo

The developmental ability among embryos produced by three different techniques were examined: there were no significant differences in the developmental rate in porcine embryos produced by in vitro fertilization (IVF) and first generation of somatic cell nucleus transfer (SCNT), but the developmental rate dropped sharply at the 2- to four-cell stage in recloned (second generation of SCNT) embryos. In most recloned embryos, Oct4 and Klf4 were under-expressed at all stages, whereas Sox2 and Nanog were over-expressed at the two-cell stage. In contrast, Nanog was absent in IVF and SCNT embryos at the two-cell stage. The recloned embryos were treated with valproic acid to enhance developmental capacity and this led to an increase in the rate of blastocyst formation and total cell number compared with the findings for untreated recloned embryos (29.8 vs. 12.4 %, 39 vs. 25, respectively, p < 0.05).