Anatomical Methods for Voxelation of the Mammalian Brain

Voxelation allows high-throughput acquisition of three-dimensional gene expression patterns in the brain through analysis of spatially registered voxels (cubes). The method results in multiple volumetric maps of gene expression analogous to the images reconstructed in biomedical imaging techniques. An important issue for voxelation is the development of approaches to anchor correctly harvested voxels to the underlying anatomy. Here, we describe experiments to identify fixation and cryopreservation protocols for improved registration of harvested voxels with neuroanatomical structures. Paraformaldehyde fixation greatly reduced RNA recovery as judged by ribosomal RNA abundance. However, gene expression signals from paraformaldehyde-fixed samples were not appreciably diminished as judged by average signal-noise ratios from microarrays, highlighting the difficulties of accurate quantitation of cross-linked RNA. Additional use of cryoprotection helped to improve further RNA recovery and signal from fixed tissue. It appears that the best protocol to provide the necessary resolution of neuroanatomical information in voxelation entails a controlled dose of fixation and thorough cryoprotection, complemented by histological staining.     

Voxelation and gene expression tomography for the acquisition of 3-D gene expression maps in the brain

Voxelation and gene expression tomography or GET are novel methods for the high-throughput acquisition of gene expression patterns in the mammalian brain. Voxelation employs analysis of spatially registered voxels (cubes), while GET employs analysis of sets of parallel slices rotated about multiple independent axes of rotation. Both methods employ reconstruction of the data to result in multiple volumetric maps of gene expression analogous to those obtained from biomedical imaging techniques. Here, we describe the methodologies underlying voxelation and GET and briefly outline the insights that can be obtained from these approaches.     

Gene expression profiling of flagellar disassembly in Chlamydomonas reinhardtii

Flagella are sensory organelles that interact with the environment through signal transduction and gene expression networks. We used microarray profiling to examine gene regulation associated with flagellar length change in the green alga Chlamydomonas reinhardtii. Microarrays were probed with fluorescently labeled cDNAs synthesized from RNA extracted from cells before and during flagellar assembly or disassembly. Evaluation of the gene expression profiles identified >100 clones showing at least a twofold change in expression during flagellar length changes. Products of these genes are associated not only with flagellar structure and motility but also with other cellular responses, including signal transduction and metabolism. Expression of specific genes from each category was further characterized at higher resolution by using quantitative real-time PCR (qRT-PCR). Analysis and comparison of the gene expression profiles coupled to flagellar assembly and disassembly revealed that each process involves a new and uncharacterized whole-cell response to flagellar length changes. This analysis lays the groundwork for a more comprehensive understanding of the cellular and molecular networks regulating flagellar length changes.     

Balanced-PCR amplification allows unbiased identification of genomic copy changes in minute cell and tissue samples

Analysis of genomic DNA derived from cells and fresh or fixed tissues often requires whole genome amplification prior to microarray screening. Technical hurdles to this process are the introduction of amplification bias and/or the inhibitory effects of formalin fixation on DNA amplification. Here we demonstrate a balanced-PCR procedure that allows unbiased amplification of genomic DNA from fresh or modestly degraded paraffin-embedded DNA samples. Following digestion and ligation of a target and a control genome with distinct linkers, the two are mixed and amplified in a single PCR, thereby avoiding biases associated with PCR saturation and impurities. We demonstrate genome-wide retention of allelic differences following balanced-PCR amplification of DNA from breast cancer and normal human cells and genomic profiling by array-CGH (cDNA arrays, 100 kb resolution) and by real-time PCR (single gene resolution). Comparison of balanced-PCR with multiple displacement amplification (MDA) demonstrates equivalent performance between the two when intact genomic DNA is used. When DNA from paraffin-embedded samples is used, balanced PCR overcomes problems associated with modest DNA degradation and produces unbiased amplification whereas MDA does not. Balanced-PCR allows amplification and recovery of modestly degraded genomic DNA for subsequent retrospective analysis of human tumors with known outcomes.     

Evaluation of procedures for amplification of small-size samples for hybridization on microarrays

Various approaches have been developed for the preparation of samples for gene expression monitoring. For Affymetrix chips, a standard protocol is widely used; however, this is inefficient for small samples such as laser capture microdissections. Several amplification procedures for such samples already exist, and our goal was to test two of them: the first is based on random PCR amplification, and the second, linear amplification, involves performing the standard protocol twice. We analyzed a dilution of a commercially available mouse brain total RNA preparation and microdissections from mouse hippocampus and striatum. We evaluated the quality of microarray data by analyzing several chip parameters and performing multiple comparisons. At the biological level, brain microdissections prepared with either method gave similar expression results. At the technical level, analysis of the commercial sample showed that random PCR amplification is more reproducible, requires smaller RNA input, and generates cRNA of higher quality than linear amplification.     

Statistical Analysis of Multiplex Brain Gene Expression Images

Analysis of variance (ANOVA) was employed to investigate 9,000 gene expression patterns from brains of both normal mice and mice with a pharmacological model of Parkinson's disease (PD). The data set was obtained using voxelation, a method that allows high-throughput acquisition of 3D gene expression patterns through analysis of spatially registered voxels (cubes). This method produces multiple volumetric maps of gene expression analogous to the images reconstructed in biomedical imaging systems. The ANOVA model was compared to the results from singular value decomposition (SVD) by using the first 42 singular vectors of the data matrix, a number equal to the rank of the ANOVA model. The ANOVA was also compared to the results from non-parametric statistics. Lastly, images were obtained for a subset of genes that emerged from the ANOVA as significant. The results suggest that ANOVA will be a valuable framework for insights into the large number of gene expression patterns obtained from voxelation.     

半定量RT-PCR检测运动发酵单胞菌中外源基因转录水平的研究

本研究运用半定量RT-PCR法检测运动发酵单胞菌重组菌中外源基因xylB的转录水平。提取野生型运动发酵单胞菌CP4及其2个重组菌的总RNA, 检测无DNA污染后定量至同一浓度、并反转录为cDNA。观测目的基因xylB和内标基因16S rRNA的PCR扩增曲线、并确定合适的循环数, 选用相同量的cDNA为模板, PCR检测各样本中xylB相对16S rRNA的转录水平。结果表明野生型菌株CP4中xylB基因没有转录, 而两株重组菌中皆有xylB的转录本, 且转录丰度基本一致, 酶活测定也进一步证实该基因在重组菌中有效表达。该方法可用于鉴定运动发酵单胞菌中特定基因的转录水平, 是一种快速有效的检测方法。