Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Phospho-RNA sequencing with CircAID-p-seq

ABSTRACT: Accurate positional information concerning ribosomes and RNA binding proteins with respect to their transcripts is important to understand the global regulatory network underlying protein and RNA fate in living cells. Most footprinting approaches generate RNA fragments bearing a phosphate or cyclic phosphate groups at their 3′ end. Unfortunately, all current protocols for library preparation rely only on the presence of a 3′ hydroxyl group. Here, we developed circAID-p-seq, a PCR-free library preparation for 3′ phospho-RNA sequencing. We applied circAID-p-seq to ribosome profiling, which produces fragments protected by ribosomes after endonuclease digestion. CircAID-p-seq, combined with the dedicated computational pipeline circAidMe, facilitates accurate, fast, highly efficient and low-cost sequencing of phospho-RNA fragments from eukaryotic cells and tissues. While assessing circAID-p-seq to portray ribosomes engaged with transcripts, we provide a versatile tool to unravel any 3′-phospho RNA molecules.

ORGANISM(S): Mus musculus Homo sapiens

PROVIDER: GSE174754 | GEO | 2022/03/09

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

High resolution mapping of modified nucleobases in DNA using excision repair enzymes

Project description:Data from Excision-seq experiments to map deoxyuridine and pyrimidine dimers in S. cerevisiae and E. coli For uracil mapping in pre-digestion Excision-seq, uracil was excised from genomic DNA from dut ung yeast and bacteria yielding double-stranded DNA fragments. Adapters were ligated to these fragments for Illumina library preparation. Using this method, the number of reads at a genomic location corresponds to the quantity of dU at that location. In post-digestion Excision-seq, uracil-containing library fragments are destroyed by UDG treatment, thus coverage is inversely proportional to uracil content. For pyrimidine dimer Excision-seq, yeast were irradiated with high doses of UVC light to generate a large number of DNA modifications. Using the excision repair enzyme UVDE from S. pombe, we excised pyrimidine dimers, cutting the phosphodieseter bond to release small double stranded fragments. These fragments were repaired with either CPD photolyase or 6-4 photolyase to generate independent libraries for each modification type. Illumina adapters were ligated to these fragments for library preparation. Using this method the number of reads at a genomic location corresponds to the quantity of the 3' pyrimidine of the dimer.

2014-05-15 | E-GEOD-51361 | biostudies-arrayexpress

Phospho-small RNA-seq reveals circulating, extracellular mRNA/lncRNAs as potential biomarkers in human plasma: PNK evaluation on synthetic, equimolar pool [SYNTHETICPNK]

Project description:Extracellular RNAs (exRNAs) in blood and other biofluids have attracted great interest as potential biomarkers in liquid biopsy applications, as well as for their potential biological functions. Whereas it is well-established that extracellular microRNAs are present in human blood circulation, the degree to which messenger RNAs (mRNA) and long noncoding RNAs (lncRNA) are represented in plasma is less clear. Here we report that mRNA and lncRNA species are present as small fragments in plasma that are not detected by standard small RNA-seq methods, because they lack 5’-phosphorylation or carry 3’-phosphorylation. We developed a modified sequencing protocol (termed “phospho-sRNA-seq”) that incorporates upfront RNA treatment with T4 polynucleotide kinase (which also has 3’ phosphatase activity) and compared it to a standard small RNA-seq protocol, using as input both a pool of synthetic RNAs with diverse 5’ and 3’ end chemistries, as well exRNA isolated from human blood plasma. This series uses the synthetic pools of small RNAs to demonstrate the efficacy of phospho-sRNA-seq to enable capture of sRNAs lacking a 5’ phosphate and/or having a 3’ phosphate.

2019-05-03 | GSE126048 | GEO

Foreign RNA spike-ins enable accurate allele-specific expression analysis at scale [III]

Project description:Analysis of allele-specific expression is strongly affected by the technical noise present in RNA-seq experiments. Previously, we showed that technical replicates can be used for precise estimates of this noise, and we provided a tool for correction of technical noise in allele-specific expression analysis. This approach is very accurate but costly due to the need for two or more replicates of each library. Here, we develop a spike-in approach that is highly accurate at only a small fraction of the cost. We show that a distinct RNA added as a spike-in before library preparation reflects technical noise of the whole library and can be used in large batches of samples. We experimentally demonstrate the effectiveness of this approach using combinations of RNA from species distinguishable by alignment, namely, mouse, human, and C.elegans. Our new approach, controlFreq, enables highly accurate and computationally efficient analysis of allele-specific expression in (and between) arbitrarily large studies at an overall cost increase of ∼ 5%.

2023-07-11 | GSE228004 | GEO

Foreign RNA spike-ins enable accurate allele-specific expression analysis at scale [II]

2023-07-11 | GSE228003 | GEO

Foreign RNA spike-ins enable accurate allele-specific expression analysis at scale [I]

2023-07-11 | GSE228002 | GEO

Sequencing-based quantitative mapping of the cellular small RNA landscape

Project description:Current next-generation RNA sequencing methods do not provide accurate quantification of small RNAs within a sample due to sequence-dependent biases in capture, ligation, and amplification during library preparation. We present a method – AQRNA-seq – that minimizes biases and provides a direct, linear correlation between sequencing read count and copy number for small RNAs in a sample. The library preparation and data processing steps were optimized and validated using a 963-member microRNA reference library, oligonucleotide standards of varying lengths, and northern blots. Application of AQRNA-seq to a panel of human cancer cells revealed >800 detectable miRNAs that varied as a function of cancer progression, while application to bacterial tRNA pools, a traditionally hard-to-sequence class of RNAs, revealed 80-fold variation in tRNA isoacceptor levels, stress-induced site-specific tRNA fragmentation, quantitative modification maps, and evidence for stress-induced tRNA-driven codon-biased translation. AQRNA-seq thus provides a means to quantitatively map the small RNA landscape in cells.

2021-05-31 | GSE159434 | GEO

Systematic assessment of next-generation sequencing for quantitative small RNA profiling: A-to-I editing pools

Project description:Small RNA-seq is increasingly being used for profiling of small RNAs. Quantitative characteristics of long RNA-seq have been extensively described, but small RNA-seq involves fundamentally different methods for library preparation, with distinct protocols and technical variations that have not been fully and systematically studied. Using common sets of reference samples, we evaluated the accuracy, reproducibility and bias of small RNA-seq library preparation for five distinct protocols and across nine different laboratories. As part of this larger study, we assessed reproducibility and accuracy of relative expression measurements using two pools of synthetic small RNA sequences, where subsets of the sRNAs vary in relative amount between pools A and B. The pools each contain 334 small RNAs, varying by 15 different ratios between pools A and B (10:1, 8:1, 5:1, 4:1, 3:1, 2:1, 1.5:1, 1:1, 1:1.5, 1:2, 1:3, 1:4 1:5, 1:8, 1:10). We find that although the sequencing bias varies extensively between protocols, the relative abundance measured between samples A and B is largely reproducible and accurate across labs and protocols. These results suggest that measurements of differential expression should be comparable across institutions and library preparation technologies.

2018-07-09 | GSE108138 | GEO

Systematic assessment of next-generation sequencing for quantitative small RNA profiling: synthetic ratiometric pools

2018-07-09 | GSE94585 | GEO

Systematic assessment of next-generation sequencing for quantitative small RNA profiling: human plasma pool

Project description:Small RNA-seq is increasingly being used for profiling of small RNAs. Quantitative characteristics of long RNA-seq have been extensively described, but small RNA-seq involves fundamentally different methods for library preparation, with distinct protocols and technical variations that have not been fully and systematically studied. Using common sets of reference samples, we evaluated the accuracy, reproducibility and bias of small RNA-seq library preparation for five distinct protocols and across nine different laboratories. As part of this larger study, we assessed reproducibility and diversity of sequencing of mature miRNAs, generating libraries from RNA extracted from human plasma that was pooled from 11 healthy individuals. We find that protocol-specific biases are largely recapitulated in the biological samples, and that inter-protocol bias correction factors estimated from the more comprehensive equimolar synthetic pools can be applied to the biological samples to get more comparable, and in some cases, more accurate estimates of miRNA abundance.

2018-07-09 | GSE94582 | GEO

METTL5, an 18S rRNA-specific m6A methyltransferase, modulates expression of stress response genes

Project description:Input mRNAs and ribosome protected fragments (RPFs) from wildtype and Mettl5 knockout (KO) B16 cells were analyzed by TruSeq Ribo Profile (Illumina) library preparation and high throughput sequencing

2020-04-28 | GSE138110 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data