Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Deciphering the principles of the RNA editing code via large-scale systematic probing

ABSTRACT: Deciphering the principles of the RNA editing code via large-scale systematic probing

PROVIDER: PRJNA649938 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR12360161_1.fastq.gz	Fastqsanger.gz
	SRR12360161_2.fastq.gz	Fastqsanger.gz
	SRR12360162_1.fastq.gz	Fastqsanger.gz
	SRR12360162_2.fastq.gz	Fastqsanger.gz
	SRR12360163_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 64

Similar Datasets

Deciphering the principles of the RNA editing code via large-scale systematic probing

Project description:Here we utilized large-scale systematic probing and screening of ~2000 sequence and structural variants based on two long, perfect RNA hairpins to explore the structure and sequence context determining editability.

2021-05-05 | GSE155490 | GEO

Deciphering the reading of the genetic code by near-cognate tRNA

Project description:Deciphering the reading of the genetic code by near-cognate tRNA

| PRJNA428523 | ENA

Towards deciphering the principles underlying an mRNA recognition code.

Project description:Messenger RNAs interact with a number of different molecules that determine the fate of each transcript and contribute to the overall pattern of gene expression. These interactions are governed by specific mRNA signals, which in principle could represent a special mRNA recognition 'code'. Both, small molecules and proteins demonstrate a diversity of mRNA binding modes often dependent on the structural context of the regions surrounding specific target sequences. In this review, we have highlighted recent structural studies that illustrate the diversity of recognition principles used by mRNA binders for timely and specific targeting and processing of the message.

| S-EPMC3744885 | biostudies-literature

Deciphering the ‘m6A code’ via quantitative profiling of m6A at single-nucleotide resolution [II]

Project description:N6-methyladenosine (m6A) is the most abundant modification on mRNA, and is implicated in critical roles in development, physiology and disease. A major challenge in the field has been the inability to quantify m6A stoichiometry and the lack of antibody-independent methodologies for interrogating m6A. Here, we develop MASTER-seq for systematic quantitative profiling of m6A at single nucleotide resolution, building on differential cleavage by an RNAse at methylated sites. MASTER-seq permitted validation and de novo discovery of m6A sites, calibration of the performance of antibody based approaches, and quantitative tracking of m6A dynamics in yeast gametogenesis and mammalian differentiation. We discover that m6A stoichiometry is ‘hard-coded’ in cis via a simple and predictable code. This code accounts for ~50% of the variability in methylation levels and allows accurate prediction of m6A loss/acquisition events across evolution. MASTER-seq will allow quantitative investigation of m6A regulation in diverse cell types and disease states.

2019-07-01 | GSE122956 | GEO

Deciphering the ‘m6A code’ via quantitative profiling of m6A at single-nucleotide resolution [I]

2019-07-01 | GSE122955 | GEO

Deciphering the ‘m6A code’ via quantitative profiling of m6A at single-nucleotide resolution [III]

2019-07-01 | GSE129842 | GEO

Deciphering the ‘m6A code’ via quantitative profiling of m6A at single-nucleotide resolution

Project description:Deciphering the ‘m6A code’ via quantitative profiling of m6A at single-nucleotide resolution

| PRJNA506999 | ENA

Deciphering the ‘m6A code’ via quantitative profiling of m6A at single-nucleotide resolution [II]

Project description:Deciphering the ‘m6A code’ via quantitative profiling of m6A at single-nucleotide resolution [II]

| PRJNA507002 | ENA

Deciphering the ‘m6A code’ via quantitative profiling of m6A at single-nucleotide resolution [I]