一种用于基因芯片可靠的双轮RNA线性扩增技术

DNA微阵列能在一次实验中检测成千上万个基因的表达情况, 有助于阐明疾病发生的分子机制及发现新的诊治靶标.但常规方法需要大量RNA, 因而基于T7 RNA线性扩增技术逐渐成为微阵列表达谱实验中最常用的探针制备方法.本方法将实验步骤进一步改进,增加额外的一轮体外转录,并结合Klenow酶标记技术来制备cDNA靶标和寡核苷酸芯片杂交.从纳克量级的总RNA起始,本方法和常规的RNA单轮线性扩增法相比,仍然准确地保留了约70%的基因表达信息.同一RNA样本的自身比较实验及重复实验结果也显示,该方法具有较高的可靠性和重复性.RNA双轮体外扩增法需要的起始RNA相对于常规的单轮扩增法减少了很多（10 ng甚至更少）,因而非常适合分析那些只能提供微量RNA的样本.     

cRNA target preparation for microarrays: comparison of gene expression profiles generated with different amplification procedures

Microarray technology has become a standard tool for generation of gene expression profiles to explore human disease processes. Being able to start from minute amounts of RNA extends the fields of application to core needle biopsies, laser capture microdissected cells, and flow-sorted cells. Several RNA amplification methods have been developed, but no extensive comparability and concordance studies of gene expression profiles are available. Different amplification methods may produce differences in gene expression patterns. Therefore, we compared profiles processed by a standard microarray protocol with three different types of RNA amplification: (i) two rounds of linear target amplification, (ii) random amplification, and (iii) amplification based on a template switching mechanism. The latter two methods accomplish target amplification in a nonlinear way using PCR technology. Starting from as little as 50 ng of total RNA, the yield of labeled cRNA was sufficient for hybridization to Affymetrix HG-U133A GeneChip array using the respective methods. Replicate experiments were highly reproducible for each method. In comparison with the standard protocol, all three approaches are less sensitive and introduced a minor but clearly detectable bias of the detection call. In conclusion, the three amplification protocols used are applicable for GeneChip analysis of small tissue samples.     

Highly parallel genome-wide expression analysis of single mammalian cells

Background

We have developed a high-throughput amplification method for generating robust gene expression profiles using single cell or low RNA inputs.

Methodology/Principal Findings

The method uses tagged priming and template-switching, resulting in the incorporation of universal PCR priming sites at both ends of the synthesized cDNA for global PCR amplification. Coupled with a whole-genome gene expression microarray platform, we routinely obtain expression correlation values of R²∼0.76–0.80 between individual cells and R²∼0.69 between 50 pg total RNA replicates. Expression profiles generated from single cells or 50 pg total RNA correlate well with that generated with higher input (1 ng total RNA) (R²∼0.80). Also, the assay is sufficiently sensitive to detect, in a single cell, approximately 63% of the number of genes detected with 1 ng input, with approximately 97% of the genes detected in the single-cell input also detected in the higher input.

Conclusions/Significance

In summary, our method facilitates whole-genome gene expression profiling in contexts where starting material is extremely limiting, particularly in areas such as the study of progenitor cells in early development and tumor stem cell biology.     

Gold nanoparticle probe-based gene expression analysis with unamplified total human RNA

Microarray-based gene expression analysis plays a pivotal role in modern biology and is poised to enter the field of molecular diagnostics. Current microarray-based gene expression systems typically require enzymatic conversion of mRNA into labeled cDNA or cRNA. Conversion to cRNA involves a target amplification step that overcomes the low sensitivity associated with commonly used fluorescent detection methods. Herein, we present a novel enzyme-free, microarray-based gene expression system that uses unamplified total human RNA sample as the target nucleic acid. The detection of microarray-bound RNA molecules is accomplished by targeting the poly-A tail with an oligo-dT₂₀ modified gold nanoparticle probe, signal amplification by autometallography, and subsequent measurement of nanoparticle-mediated light scattering. The high sensitivity afforded by the nanoparticle probes allows differential gene expression from as little as 0.5 μg unamplified total human RNA in a 2 h hybridization without the need for elaborate sample labeling steps.     

Microarray-based analysis of microbial community RNAs by whole-community RNA amplification

A new approach, termed whole-community RNA amplification (WCRA), was developed to provide sufficient amounts of mRNAs from environmental samples for microarray analysis. This method employs fusion primers (six to nine random nucleotides with an attached T7 promoter) for the first-strand synthesis. The shortest primer (T7N6S) gave the best results in terms of the yield and representativeness of amplification. About 1,200- to 1,800-fold amplification was obtained with amounts of the RNA templates ranging from 10 to 100 ng, and very representative detection was obtained with 50 to 100 ng total RNA. Evaluation with a Shewanella oneidensis Deltafur strain revealed that the amplification method which we developed could preserve the original abundance relationships of mRNAs. In addition, to determine whether representative detection of RNAs can be achieved with mixed community samples, amplification biases were evaluated with a mixture containing equal quantities of RNAs (100 ng each) from four bacterial species, and representative amplification was also obtained. Finally, the method which we developed was applied to the active microbial populations in a denitrifying fluidized bed reactor used for denitrification of contaminated groundwater and ethanol-stimulated groundwater samples for uranium reduction. The genes expressed were consistent with the expected functions of the bioreactor and groundwater system, suggesting that this approach is useful for analyzing the functional activities of microbial communities. This is one of the first demonstrations that microarray-based technology can be used to successfully detect the activities of microbial communities from real environmental samples in a high-throughput fashion.     

Microarray-Based Analysis of Microbial Community RNAs by Whole-Community RNA Amplification

A new approach, termed whole-community RNA amplification (WCRA), was developed to provide sufficient amounts of mRNAs from environmental samples for microarray analysis. This method employs fusion primers (six to nine random nucleotides with an attached T7 promoter) for the first-strand synthesis. The shortest primer (T7N6S) gave the best results in terms of the yield and representativeness of amplification. About 1,200- to 1,800-fold amplification was obtained with amounts of the RNA templates ranging from 10 to 100 ng, and very representative detection was obtained with 50 to 100 ng total RNA. Evaluation with a Shewanella oneidensis Δfur strain revealed that the amplification method which we developed could preserve the original abundance relationships of mRNAs. In addition, to determine whether representative detection of RNAs can be achieved with mixed community samples, amplification biases were evaluated with a mixture containing equal quantities of RNAs (100 ng each) from four bacterial species, and representative amplification was also obtained. Finally, the method which we developed was applied to the active microbial populations in a denitrifying fluidized bed reactor used for denitrification of contaminated groundwater and ethanol-stimulated groundwater samples for uranium reduction. The genes expressed were consistent with the expected functions of the bioreactor and groundwater system, suggesting that this approach is useful for analyzing the functional activities of microbial communities. This is one of the first demonstrations that microarray-based technology can be used to successfully detect the activities of microbial communities from real environmental samples in a high-throughput fashion.