Comparative evaluation of linear and exponential amplification techniques for expression profiling at the single-cell level

Background  

Single-cell microarray expression profiling requires 10⁸-10⁹-fold amplification of the picogram amounts of total RNA typically found in eukaryotic cells. Several methods for RNA amplification are in general use, but little consideration has been given to the comparative analysis of those methods in terms of the overall validity of the data generated when amplifying from single-cell amounts of RNA, rather than their empirical performance in single studies.     

Cloning and Expression of Collagen-Derived Protein in E. Coli And Baculovirus System

Abstract

Using appropriately designed primers we amplified a 783 bp frag ment of the triple helical portion of human α1-collagen (I) by PCR methods. The expression of this biosynthetic collagen gene and a modified one containing cell adhesion sequences was carried out in a prokaryotic (E. coli) and a eukaryotic (baculovirus) system. The expression products were purified by affinity chromatography.     

Efficacy of RNA amplification is dependent on sequence characteristics: implications for gene expression profiling using a cDNA microarray

Minute tissue samples or single cells increasingly provide the starting material for gene expression profiling, which often requires RNA amplification. Although much effort has been put into optimizing amplification protocols, the relative abundance of RNA templates in the amplified product is frequently biased. We applied a T7 polymerase-based technique to amplify RNA from two tissues of a cichlid fish and compared expression levels of unamplified and amplified RNA on a cDNA microarray. Amplification bias was generally minor and comprised features that were lost (1.3%) or gained (2.5%) through amplification and features that were scored as regulated before but unregulated after amplification (4.2%) or vice versa (19.5%). We examined 10 sequence-specific properties and found that GC content, folding energy, hairpin length and number, and lengths of poly(A) and poly(T) stretches significantly affected RNA amplification. We conclude that, if RNA amplification is used in gene expression studies, preceding experiments controlling for amplification bias should be performed.     

大肠杆菌poly(A)化mRNA基因的芯片制备

利用大肠杆菌mRNA中存在的一定程度的poly(A)现象,利用oligo(dT)与poly(A)特异结合的特性,纯化并逆转录mRNA,并应用RD-PCR双方法获得了170多条大肠杆菌poly(A)化mRNA的基因片段,利用这些片段打印成基因芯片,以供后续大肠杆菌的基因表达研究。     

Amine-modified random primers to label probes for DNA microarrays

DNA microarrays have been used to study the expression of thousands of genes at the same time in a variety of cells and tissues. The methods most commonly used to label probes for microarray studies require a minimum of 20 microg of total RNA or 2 microg of poly(A) RNA. This has made it difficult to study small and rare tissue samples. RNA amplification techniques and improved labeling methods have recently been described. These new procedures and reagents allow the use of less input RNA, but they are relatively time-consuming and expensive. Here we introduce a technique for preparing fluorescent probes that can be used to label as little as 1 microg of total RNA. The method is based on priming cDNA synthesis with random hexamer oligonucleotides, on the 5' ends of which are bases with free amino groups. These amine-modified primers are incorporated into the cDNA along with aminoallyl nucleotides, and fluorescent dyes are then chemically added to the free amines. The method is simple to execute, and amine-reactive dyes are considerably less expensive than dye-labeled bases or dendrimers.     

Expression profiling using human tissues in combination with RNA amplification and microarray analysis: assessment of Langerhans cell histiocytosis

Summary. Advances in molecular genetics have led to sequencing of the human genome, and expression data is becoming available for many diverse tissues throughout the body, allowing for exciting hypothesis testing of critical concepts such as development, differentiation, homeostasis, and ultimately, disease pathogenesis. At present, an optimal methodology to assess gene expression is to evaluate single cells, either identified physiologically in living preparations, or by immunocytochemical or histochemical procedures in fixed cells in vitro or in vivo. Unfortunately, the quantity of RNA harvested from a single cell is not sufficient for standard RNA extraction methods. Therefore, exponential polymerase-chain reaction (PCR) based analyses, and linear RNA amplification including amplified antisense (aRNA) RNA amplification and a newly developed terminal continuation (TC) RNA amplification methodology have been used in combination with microdissection procedures such as laser capture microdissection (LCM) to enable the use of microarray platforms within individual populations of cells obtained from a variety of human tissue sources such as biopsy-derived samples {including Langerhans cell histiocytosis (LCH)} as well as postmortem brain samples for high throughput expression profiling and related downstream genetic analyses.     

A Thermostable Clostridium thermocellum Lichenase-based Reporter System for Studying the Gene Expression Regulation in Prokaryotic and Eukaryotic Cells

A new reporter system was developed to study the gene expression regulation in prokaryotic (Escherichia coli) and eukaryotic (Saccharomyces cerevisiae and mammalian) cells. The system was based on the modified bacterial lichenase gene (licBM2), which was shown to meet the requirements for a reporter. The gene product was active and did not undergo modification in heterologous hosts. Simple and sensitive methods were used to detect and to quantitate the lichenase activity. Inducible licBM2 expression was demonstrated with E. coli and yeast cells, allowing the system to be employed in dynamic studies.     

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.