SpKAS-seq reveals R-loop dynamics using low-input materials by detecting single-stranded DNA with strand specificity
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA793268 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR17385310.fastq.gz | Fastqsanger.gz | |||
| SRR17385311.fastq.gz | Fastqsanger.gz | |||
| SRR17385312.fastq.gz | Fastqsanger.gz | |||
| SRR17385313.fastq.gz | Fastqsanger.gz | |||
| SRR17385314.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 5 of 68 |
Similar Datasets
Project description:R-loops impact transcription and genome stability and are related to human diseases. Genome-wide R-loop mapping typically uses the S9.6 antibody or inactive RNase H, both requiring a large number of cells with varying results observed depending on the approach applied. Here, we present strand-specific KAS-seq (spKAS-seq) to map R-loops by taking advantage of the presence of a single-stranded DNA (ssDNA) in the triplex structure. We show that spKAS-seq detects R-loops and their dynamics at coding sequences, enhancers, and other intergenic regions with as few as 50,000 cells and eliminates potential bias towards open chromatin and RNase H-sensitive regions. A joint analysis of R-loops and chromatin-bound RNA-binding proteins (RBPs) suggested that R-loops can be RBP-binding hotspots on the chromatin.
2022-06-06 | GSE192822 | GEO
Project description:R-loops affect transcription and genome stability. Dysregulation of R-loops is related to human diseases. Genome-wide R-loop mapping typically uses the S9.6 antibody or inactive ribonuclease H, both requiring a large number of cells with varying results observed depending on the approach applied. Here, we present strand-specific kethoxal-assisted single-stranded DNA (ssDNA) sequencing (spKAS-seq) to map R-loops by taking advantage of the presence of a ssDNA in the triplex structure. We show that spKAS-seq detects R-loops and their dynamics at coding sequences, enhancers, and other intergenic regions with as few as 50,000 cells. A joint analysis of R-loops and chromatin-bound RNA binding proteins (RBPs) suggested that R-loops can be RBP binding hotspots on the chromatin.
| S-EPMC9710868 | biostudies-literature
Project description:Library preparation is a key step in gene expression quantification. There are considerable advantages to both strand specific sequencing and the ability to sequence samples with very small amounts of starting material. Until recently there was no kit available that allowed both simultaneously. The standard Illumina-TruSeq stranded mRNA Sample Preparation kit requires abundant starting quantity while the Takara Bio-SMART-Seq® v4 Ultra® Low Input RNA kit allows for ultra low starting quantities but sacrifices strand specificity. Recently a kit that can do both, SMARTer® Stranded Total RNA-Seq Kit v2 - Pico Input Mammalian by Takara Bio, has become available. Evaluating the performance and effects of these sample preparation kits is a critical determinant for selecting the appropriate sequencing protocol, but a comprehensive comparison is currently missing. To address this we performed a detailed comparative analysis of sequencing libraries prepared with the three kits. We prepared a set of samples representing two experimental conditions with each kit, allowing for comparison of the kits in a standard realistic differential expression analysis. We find substantial differences in the levels of alignment and differential gene expression. Using differential expression analysis we show that using Pico results in identifying 55% less differentially expressed genes than TruSeq. Nevertheless, using gene pathway enrichment analysis we find similar results for all three kits, indicating that ultimately comparable functional results can be reached.
2019-09-17 | GSE124167 | GEO
Project description:Refined RIP-seq protocol for epitranscriptome analysis with low input materials
| PRJNA476772 | ENA
Project description:Despite the precipitous decline in the cost of genome sequencing over the last few years, library preparation for RNA-seq is still laborious and expensive for high throughput screening for drug discovery. Limited availability of RNA generated by some experimental workflows poses an additional challenge and typically adds to the cost of RNA library preparation. In a search for low cost, automation-compatible RNA library preparation kits that also maintain strand specificity and are amenable to low input RNA quantities, we systematically tested two recent commercial technologies – Swift and Swift Rapid – using the Illumina TruSeq stranded mRNA, the de facto standard workflow for bulk transcriptomics, as our reference. We used the Universal Human Reference RNA (UHRR) (composed of equal quantities of total RNA from 10 human cancer cell lines) to benchmark differential gene expression in these kits, at input quantities ranging between 10 ng to 500 ng. Read quality and alignment metrics revealed high mapping efficiency and uniform read coverage through genes for all samples across all three kits. Normalized read counts between all treatment groups were in high agreement, with pairwise Pearson correlation coefficients >0.97. Compared to the Illumina TruSeq stranded mRNA kit, both Swift RNA library kits are cost effective and offer shorter workflow times enabled by their patented Adaptase technology. Furthermore, the Swift RNA kit allows for a relatively broader (and lower) input range, producing consistent results across diverse samples. The Swift Rapid RNA method is the fastest and most cost effective NGS workflow that is best suited for higher RNA yields, with the exact same RNA input range as the Illumina TruSeq kit. We also found the Swift RNA kit to produce the fewest number of differentially expressed genes and pathways attributable to input mRNA concentration.
2021-02-23 | GSE167300 | GEO
Project description:we describe a streamlined RNAseq protocol (EASY RNAseq) for sensitive transcriptome assessment starting from low amount of input materials. EASY RNAseq is technically robust enough for sequencing small pools of homogenous and heterogeneous cells, recovering higher numbers of genes and with a more even expression distribution pattern than other commonly used methods.
2020-08-01 | GSE135290 | GEO
Project description:As the most abundant and best-characterized internal mRNA modification, N6-methyladenosine (m6A) emerges to play a critical regulatory role in wide range of physiological and pathological processes, including gametogenesis, neuronal development, obesity and tumorigenesis. Methylated RNA immunoprecipitation coupled with next-generation sequencing (MeRIP-seq) facilitates transcriptome-wide m6A profiling, also is the most widely used technique to understand the biological significance of m6A. However, it typically requires over 100 μg of total RNA or 107 cells as input materials, hampering its application in limited samples. Here, we develop tMeRIP-seq, a transposase assisted MeRIP-seq method to achieve m6A profiling using ultra-low amount of input RNA. By marrying Tn5 tagmentation to m6A-specific immunoprecipitation, tMeRIP-seq largely improves the efficiency of library construction and reduces the input materials to as little as 60 ng total RNA or 103 cells. We apply this method on a small droplet of human blood and recapitulate the m6A profile previously reported using conventional protocol. We find tMeRIP-seq is a convenient and powerful method to examine m6A in ultra-low input material, potentially providing m6A as a new layer of bio-marker for liquid biopsy.
2021-09-07 | GSE167307 | GEO
Project description:Comparative evaluation of RNA-Seq library preparation methods for strand-specificity and low input
| PRJNA510931 | ENA
Project description:The quantification of transcriptome through RNA sequencing (RNA-seq) has widely been used to characterize all patterns of genes in a certain period. However, although many experimental protocols have recently been developed, RNA-seq is still a challenging technology in application. It is necessary to develop an easy and versatile RNA-seq method available in a wide range from single cell RNA to bulk RNA. Here we introduce a novel RNA-seq method, Double Adapter Directional Capture sequencing (DADCSeq), by directly adding adaptor at both termini of library respectively in the steps of reverse transcription and second strand synthesis, which can not only produce high quality strand specificity full-length RNA-seq library but also reduces cockamamie steps of library constructions with less time consuming. The DADCSeq was also optimized for prokaryote such as Mycobacterium smegmatis, a model bacterium for Mycobacterium tuberculosis, and can detect more genes compared to traditional methods. Taken together the DADCSeq offers a greatly simplified and cost-effective protocol with high repeatable strand specificity RNA-seq results for a diversity of RNA input materials from prokaryote to eucaryote RNA-seq libraries.
2023-07-23 | GSE237259 | GEO
Project description:Library preparation is a key step in sequencing. For RNA sequencing there are advantages to both strand specificity and working with minute starting material, yet until recently there was no kit available enabling both. The Illumina TruSeq stranded mRNA Sample Preparation kit (TruSeq) requires abundant starting material while the Takara Bio SMART-Seq v4 Ultra Low Input RNA kit (V4) sacrifices strand specificity. The SMARTer Stranded Total RNA-Seq Kit v2 - Pico Input Mammalian (Pico) by Takara Bio claims to overcome these limitations. Comparative evaluation of these kits is important for selecting the appropriate protocol. We compared the three kits in a realistic differential expression analysis. We prepared and sequenced samples from two experimental conditions of biological interest with each of the three kits. We report differences between the kits at the level of differential gene expression; for example, the Pico kit results in 55% fewer differentially expressed genes than TruSeq. Nevertheless, the agreement of the observed enriched pathways suggests that comparable functional results can be obtained. In summary we conclude that the Pico kit sufficiently reproduces the results of the other kits at the level of pathway analysis while providing a combination of options that is not available in the other kits.
| S-EPMC6748930 | biostudies-literature