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RiboRid: a low cost, advanced, and ultra-efficient method to remove ribosomal RNA for bacterial transcriptomics

ABSTRACT: RiboRid: a low cost, advanced, and ultra-efficient method to remove ribosomal RNA for bacterial transcriptomics

PROVIDER: PRJEB42756 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	ERR5621440_1.fastq.gz	Fastqsanger.gz
	ERR5621440_2.fastq.gz	Fastqsanger.gz
	ERR5621450.fastq.gz	Fastqsanger.gz
	ERR5621530_1.fastq.gz	Fastqsanger.gz
	ERR5621530_2.fastq.gz	Fastqsanger.gz

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RiboRid: A low cost, advanced, and ultra-efficient method to remove ribosomal RNA for bacterial transcriptomics.

Project description:RNA sequencing techniques have enabled the systematic elucidation of gene expression (RNA-Seq), transcription start sites (differential RNA-Seq), transcript 3' ends (Term-Seq), and post-transcriptional processes (ribosome profiling). The main challenge of transcriptomic studies is to remove ribosomal RNAs (rRNAs), which comprise more than 90% of the total RNA in a cell. Here, we report a low-cost and robust bacterial rRNA depletion method, RiboRid, based on the enzymatic degradation of rRNA by thermostable RNase H. This method implemented experimental considerations to minimize nonspecific degradation of mRNA and is capable of depleting pre-rRNAs that often comprise a large portion of RNA, even after rRNA depletion. We demonstrated the highly efficient removal of rRNA up to a removal efficiency of 99.99% for various transcriptome studies, including RNA-Seq, Term-Seq, and ribosome profiling, with a cost of approximately $10 per sample. This method is expected to be a robust method for large-scale high-throughput bacterial transcriptomic studies.

| S-EPMC8496792 | biostudies-literature

Efficient and cost-effective bacterial mRNA sequencing from low input samples through ribosomal RNA depletion

Project description:Efficient and cost-effective bacterial mRNA sequencing from low input samples through ribosomal RNA depletion

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Ribo-Pop: Simple, cost-effective, and widely applicable ribosomal RNA depletion

Project description:Ribo-Pop: Simple, cost-effective, and widely applicable ribosomal RNA depletion

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Efficient and cost-effective bacterial mRNA sequencing from low input samples through ribosomal RNA depletion

Project description:RNA sequencing is a powerful approach to quantify the genome-wide distribution of mRNA molecules in a population to gain deeper understanding of cellular functions and phenotypes. However, unlike eukaryotic cells, mRNA sequencing of bacterial samples is more challenging due to the absence of a poly-A tail that typically enables efficient capture and enrichment of mRNA from the abundant rRNA molecules in a cell. Moreover, bacterial cells frequently contain 100-fold lower quantities of RNA compared to mammalian cells, which further complicates mRNA sequencing from non-cultivable and non-model bacterial species which are often present in low abundance. To overcome these limitations, we report EMBR-seq (Enrichment of mRNA by Blocked rRNA), a method that efficiently depletes 5S, 16S and 23S rRNA using blocking primers to prevent their amplification. EMBR-seq results in greater than 80% of the sequenced RNA molecules deriving from mRNA. We demonstrate that this increased efficiency provides a deeper view of the transcriptome without introducing technical amplification-induced biases. Moreover, compared to recent methods that employ a large array of oligonucleotides to deplete rRNA, EMBR-seq employs a single oligonucleotide per rRNA, thereby making this new technology significantly more cost-effective, especially when applied to varied bacterial species. Finally, compared to existing commercial kits, we show that EMBR-seq can be used to successfully quantify the transcriptome from more than 500-fold lower starting total RNA. Thus, EMBR-seq provides an efficient and cost-effective approach to quantify global gene expression profiles from low input bacterial samples.

2020-10-22 | GSE149666 | GEO

3’Pool-seq: an optimized cost-efficient and scalable method of whole-transcriptome gene expression profiling (Run0064)

Project description:The advent of Next Generation Sequencing has allowed transcriptomes to be profiled with unprecedented accuracy, but the steep costs associated with full-length library sequencing have posed a limit on the accessibility and scalability of the technology. To address these limitations, we developed 3’Pool-seq, a simple, cost-effective, and scalable RNA-seq method that focuses sequencing to the 3’ end of mRNA transcripts.

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A scalable and cost-efficient rRNA depletion approach to enrich RNAs for molecular biology investigations

Project description:Transcriptomics analyses play pivotal roles in understanding the complex regulatory networks that govern cellular processes. The abundance of rRNAs, which account for 80-90% of total RNA in eukaryotes, limits the detection and investigation of other transcripts. While mRNAs and long non-coding RNAs have polyA(+) tails that are often used for positive selection, investigations of polyA(-) RNAs, such as circular RNAs, histone mRNAs, and small RNAs, typically require the removal of the abundant rRNAs for enrichment. Current approaches to deplete rRNAs for downstream molecular biology investigations are hampered by restrictive RNA input masses and high cost. To address these challenges, we developed rRNA Removal by RNase H (rRRR), a method to efficiently deplete rRNA from a wide range of human, mouse, and rat RNA inputs and qualities at a cost 10-20-fold cheaper than other approaches. We employed probe-based hybridization and enzymatic digestion to selectively target and remove rRNA molecules while preserving the integrity of non-rRNA transcripts. Comparison between rRRR to two commercially available approaches found that they had similar efficiencies at depleting rRNAs and comparable off-target effects. Our developed method provides researchers with a valuable tool for investigating gene expression and regulatory mechanisms across a wide range of biological systems at an affordable price that increases the accessibility for researchers to enter the field, ultimately advancing our understanding of cellular processes.

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Ribo-Pop: Simple, cost-effective, and widely applicable ribosomal RNA depletion

Project description:The measurement of RNA abundance derived from massively parallel sequencing experiments is an essential technique. Methods that reduce ribosomal RNA levels are usually required prior to sequencing library construction because ribosomal RNA typically comprises >90% of the total RNA molecules in a sample. For some experiments, ribosomal RNA depletion is favored over poly(A) selection because it offers a more inclusive representation of the transcriptome. However, methods to deplete ribosomal RNA are generally proprietary, complex, inefficient, applicable to only specific species, or compatible with only a narrow range of RNA input levels. Here, we describe Ribo-Pop (ribosomal RNA depletion for popular use), a simple workflow and antisense oligo design strategy that we demonstrate works over a wide input range and can be easily adapted to any organism with a sequenced genome. We provide a computational pipeline for probe selection, a streamlined 20-minute protocol, and ready-to-use oligo sequences for several organisms. We anticipate that our simple and generalizable “open source” design strategy would enable virtually any lab to pursue full transcriptome sequencing in their organism of interest with minimal time and resources.

2020-08-12 | GSE150332 | GEO

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