A novel global cDNA amplification technology directly from an RNA template via reverse transcription
Ontology highlight
ABSTRACT:
ORGANISM(S): Mus musculus
PROVIDER: GSE108463 | GEO | 2019/01/01
REPOSITORIES: GEO
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Project description:We report a novel single-cell total RNA-seq method, RamDA-seq, by combining a novel reverse transcription (RT) technology, RT with random displacement amplification (RT-RamDA), and not-so-random (NSR) primers. RT-RamDA provides global cDNA amplification directly from RNA during RT without any universal adopters, which benefits RT efficiency, simplification of the procedure, avoiding the step of PCR amplification, and decontamination of genomic DNA. NSR enables random priming while preventing cDNA synthesis from rRNAs. RamDA-seq showed high sensitivity to non-poly(A) RNAs and full-length coverage even for extremely long transcripts (>10 kb). Moreover, RamDA-seq revealed recursive splicing, a multi-step, splicing, within > 300 kbp-long introns. Finally, RamDA-seq enabled the first genome-wide analysis of enhancer RNAs (eRNAs) in single cells.
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Project description:A novel global cDNA amplification technology directly from an RNA template via reverse transcription
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Project description:To correlate gene expression profiles to fundamental biological processes such as cell growth, differentiation and migration, it is essential to work at the single cell level. Gene expression analysis always starts with the relatively low efficient reverse transcription (RT) of RNA into complementary DNA (cDNA), an essential step as unprocessed RNAs will not be analyzed further. In this paper, we present a novel method for RT that uses microfluidics to manipulate nanoliter volumes. We compare our method to conventional protocols performed in microliter volumes. More specifically, reverse transcription was performed either in a poly-dimethylsiloxane (PDMS) rotary mixer or in a tube, using single cell amount of mouse brain RNA (10 pg), and was followed by a template-switching PCR (TS-PCR) amplification step. We demonstrate that, using the microfluidic protocol, 74% of the genes expressed in mouse brain were detected, while only 4% were found with the conventional approach. We next profiled single neuronal progenitors. Using our microfluidic approach, i.e. performing cell capture, lysis and reverse transcription on-chip followed by TS-PCR amplification in tube, a mean of 5000 genes were detected in each neuron, which corresponds to the expected number of genes expressed in a single cell. This demonstrates the outstanding sensitivity of the microfluidic method. Keywords: Single cell, transcriptome, PDMS, microfluidic, reverse-transcription (RT), template-switching, lab-on-a-chip
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Project description:Background: With lower manufacturing cost, high spot density, and flexible probe design, genomic tiling microarrays are ideal for comprehensive transcriptome studies. Typically, transcriptome profiling using microarrays involves reverse transcription, which converts RNA to cDNA. The cDNA is then labeled and hybridized to the probes on the arrays, thus the RNA signals are detected indirectly. Reverse transcription is known to generate artifactual cDNA, in particular the synthesis of second-strand cDNA, leading to false discovery of antisense RNA. To address this issue, we have developed an effective method using RNA that is directly labeled, thus by-passing the cDNA generation. This paper describes the development of this method and its application to mapping transcriptome profiles. Results: RNA extracted from laboratory cultures of Porphyromonas gingivalis was fluorescently labeled with an alkylation reagent and hybridized directly to probes on genomic tiling microarrays specifically designed for this periodontal pathogen. The generated transcriptome profile was strand-specific and produced signals close to background level in most antisense regions of the genome. In contrast, high levels of signal were detected in the antisense regions when the hybridization was done with cDNA. In addition, five antisense areas were tested with independent strand-specific RT-PCR and none to negligible amplification was detected, indicating that the strong antisense cDNA signals were artifacts. Conclusions: An efficient method was developed for mapping transcriptome profiles specific to both coding strands of a bacterial genome. This method chemically labels and uses extracted RNA directly in microarray hybridization. The generated transcriptome profile was free of cDNA artifactual signals. In addition, this method requires fewer processing steps and is more sensitive in detecting small amount of RNA compared to end-labeling methods due to the incorporation of more fluorescent molecules per RNA fragment.
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Project description:The reverse transcriptases (RTs) encoded by mobile group II intron and other non-LTR-retro-elements differ from retroviral RTs in being able to template switch from the 5' end of one template to the 3' end of another without pre-existing complementarity between the donor and acceptor nucleic acids. Here, we used the ability of a thermostable group II intron RT (TGIRT) to template switch directly from synthetic RNA template/DNA primer duplexes having either a blunt end or a 3'-DNA overhang end to establish a complete kinetic framework for the reaction and identify conditions that more efficiently capture acceptor RNAs or DNAs. The rate and amplitude of template switching are optimal from starter duplexes with a single nucleotide 3'-DNA overhang complementary to the 3' nucleotide of the acceptor RNA, suggesting a role for non-templated nucleotide addition of a complementary nucleotide to the 3’ end of cDNAs synthesized from natural templates. Longer 3'-DNA overhangs progressively decrease the rate of template switching, even when complementary to the 3' end of the acceptor template. Although dependent upon only a single base pair between the donor and acceptor, template switching discriminates against mismatches, which coupled with the high processivity of the enzyme, enables the synthesis of full-length DNA copies of acceptor nucleic acids beginning directly at their 3' end. We discuss possible biological functions of the template-switching activity of group II intron and other non-LTR-retroelements RTs, as well as the optimization of this activity for adapter addition in RNA-and DNA-seq.
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Project description:The quality of RNA sequencing data relies on specific priming by the primer used for reverse transcription (RT-primer). Non-specific annealing of the RT-primer to the RNA template can generate reads with incorrect cDNA ends and can cause misinterpretation of data (RT mispriming). This kind of artifact in RNA-seq based technologies is underappreciated and currently no adequate tools exist to computationally remove them from published datasets. We show that mispriming can occur with as little as 2 bases of complementarity at the 3' end of the primer followed by intermittent regions of complementarity. We propose an experimental solution to avoid RT-mispriming by performing RNA-seq using thermostable group II intron derived reverse transcriptase (TGIRT-seq).
2018-06-26 | GSE85163 | GEO
Project description:Background: With lower manufacturing cost, high spot density, and flexible probe design, genomic tiling microarrays are ideal for comprehensive transcriptome studies. Typically, transcriptome profiling using microarrays involves reverse transcription, which converts RNA to cDNA. The cDNA is then labeled and hybridized to the probes on the arrays, thus the RNA signals are detected indirectly. Reverse transcription is known to generate artifactual cDNA, in particular the synthesis of second-strand cDNA, leading to false discovery of antisense RNA. To address this issue, we have developed an effective method using RNA that is directly labeled, thus by-passing the cDNA generation. This paper describes the development of this method and its application to mapping transcriptome profiles. Results: RNA extracted from laboratory cultures of Porphyromonas gingivalis was fluorescently labeled with an alkylation reagent and hybridized directly to probes on genomic tiling microarrays specifically designed for this periodontal pathogen. The generated transcriptome profile was strand-specific and produced signals close to background level in most antisense regions of the genome. In contrast, high levels of signal were detected in the antisense regions when the hybridization was done with cDNA. In addition, five antisense areas were tested with independent strand-specific RT-PCR and none to negligible amplification was detected, indicating that the strong antisense cDNA signals were artifacts. Conclusions: An efficient method was developed for mapping transcriptome profiles specific to both coding strands of a bacterial genome. This method chemically labels and uses extracted RNA directly in microarray hybridization. The generated transcriptome profile was free of cDNA artifactual signals. In addition, this method requires fewer processing steps and is more sensitive in detecting small amount of RNA compared to end-labeling methods due to the incorporation of more fluorescent molecules per RNA fragment. This serial of experiments were performed to compare the transcriptome profiles revealed between the use of cDNA (converted from RNA) and RNA. Three samples of cDNA-based method were provided and two samples of RNA-based method were included. The signal intensities of these arrays were normalized based on both the in-between array method and the genomic DNA reference arrays (included) using the R 'tilingarray' package and these experiments were referred in the paper.
2010-12-09 | E-GEOD-25876 | biostudies-arrayexpress
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