Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

In vivo structure profiling reveals human tRNA structurome and interactions in response to stress

ABSTRACT: Transfer RNAs (tRNAs) are the most abundant RNA family in copy numbers in a cell. It not only folds into defined structures, but also has complex interaction networks in cells involving aminoacyl-tRNA synthetases, translation factors, and ribosomes. The human tRNAome is comprised of chromosomal-encoded tRNAs with a large sequence diversity, and mitochondrial-encoded tRNAs that have A/U-rich sequences and many with non-canonical tertiary interactions. How tRNA folding and interaction in a eukaryotic cell respond to stress is poorly understood. Here, we develop DM-DMS-MaPseq, which utilizes in vivo dimethyl-sulfate (DMS) chemical probing and mutational profiling (MaP) coupled with demethylase (DM) treatment in transcriptome-wide tRNA sequencing to profile tRNA structures and their cellular interactions for human chromosomal and mitochondrial-encoded tRNAs. We found that tRNAs maintain stable structures in vivo, but the in vivo DMS profiles are vastly different from in vitro, which can be explained by their interactions with cellular proteins and the ribosome. We also identify tRNA structure and interaction changes upon arsenite treatment, an oxidative stress that induces translational reprogramming, that are consistent with enhancing reductions of translation. Our results reveal variations of tRNA structurome and dynamic interactome that have functional consequences in translational regulation.

ORGANISM(S): Homo sapiens

PROVIDER: GSE262888 | GEO | 2025/03/29

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

tRNA Over-Expression in Breast Cancer

Project description:Increased proliferation and elevated levels of protein synthesis are characteristic of transformed and tumor cells. Though components of the translation machinery are often misregulated in cancers, how tRNA plays a role in cancer cells has not been explored. We compare genome-wide tRNA expression in tumorigenic versus non-tumorigenic breast cell lines, as well as tRNA expression in breast tumors versus normal breast tissues. In tumorigenic versus non-tumorigenic cell lines, nuclear-encoded tRNAs increase by up to 3-fold and mitochondrial-encoded tRNAs increase by up to 5-fold. In tumors versus normal breast tissues, both nuclear and mitochondrial-encoded tRNAs increase by up to 10-fold. This tRNA over-expression is selective and coordinates with the properties of cognate amino acids. Nuclear- and mitochondrial-encoded tRNAs exhibit distinct expression patterns, indicating that tRNAs can be used as biomarkers for breast cancer. We analyzed tRNA expression levels in 2 non-tumorigenic breast cell lines, 6 tumorigenic breast cancer cell lines, 3 normal breast tissue samples, and 9 breast tumor samples. We used a non-tumorigenic breast cell line (MCF10A) as a reference sample in all hybridizations. All data is dye-swapped.

2010-05-22 | E-GEOD-17945 | biostudies-arrayexpress

tRNA gene identity acts as a determinant of gene positioning

Project description:Here we report that the spatial organization of yeast tRNA genes depends upon both locus position and tRNA identity; supporting the idea that the genomic organization of tRNA loci utilizes tRNA dependent signals within the nucleoprotein-tRNA complexes that form into clusters. We use high-throughput sequencing coupled to Circular Chromosome Conformation Capture to detect interactions with two wild type tRNAs and these same positions replaced with suppressor tRNAs (SUP4-1). Detect DNA-DNA interactions (Circular chromosome conformation capture; 4C) with two wild type tRNAs and these same positions replaced with suppressor tRNAs (SUP4-1) Supplementary files: Alignment files generated by Topography v1.19 software.

2012-06-13 | E-GEOD-30103 | biostudies-arrayexpress

tRNA Over-Expression in Breast Cancer

2009-09-29 | GSE17945 | GEO

Tissue-specific reprogramming of host tRNA transcriptome by the microbiome

Project description:The role of gut microbiota in modulating host tRNA modifications and expression has not yet been studied. In this experiment, we applied DM-tRNA-seq and normal tRNA-seq to obtain and infer the cytosolic and mitochondrial tRNA modifications and expression of four tissues (brain, intestine, kidney, and liver) in the specific pathogen-free (SPF) and germ-free (GF) mice, respectively. In conclusion, we confirmed that the modifications and expression of both cytosolic and mitochondrial tRNAs were influenced by not only tissue-specific but also microbiota-dependent manners. The present study facilitates comprehensive insights and better understanding into the interactions between the gut microbiota and the tRNA modifications and expression among host tissues

2021-02-09 | GSE150355 | GEO

METTL8 is required for 3-methylcytosine modification in human mitochondrial tRNAs

Project description:A subset of eukaryotic tRNAs is methylated in the anticodon loop to form the 3-methylcytosine (m3C) modification. In mammals, the number of tRNAs containing m3C has expanded to include mitochondrial (mt) tRNA-Ser-UGA and mt-tRNA-Thr-UGU. Whereas the enzymes catalyzing m3C formation in nuclear-encoded cytoplasmic tRNAs have been identified, the proteins responsible for m3C modification in mt-tRNAs are unknown. Here, we show that m3C formation in human mt-tRNAs is dependent upon the Methyltransferase-Like 8 (METTL8) enzyme. We find that METTL8 is a mitochondria-associated protein that interacts with mitochondrial seryl-tRNA synthetase along with mt-tRNAs containing m3C. Human cells deficient in METTL8 exhibit loss of m3C modification in mt-tRNAs but not nuclear-encoded tRNAs. Consistent with the mitochondrial import of METTL8, the formation of m3C in METTL8-deficient cells can be rescued by re-expression of wildtype METTL8 but not by a METTL8 variant lacking the N-terminal mitochondrial localization signal. Notably, METTL8-deficiency in human cells causes alterations in the native migration pattern of mt-tRNA-Ser-UGA suggesting a role for m3C in tRNA folding. Altogether, these findings demonstrate that METTL8 is required for m3C formation in mitochondrial tRNAs and uncover a potential role for m3C modification in mitochondrial tRNA structure.

2022-05-19 | PXD030418 | Pride

tRNA gene identity acts as a determinant of gene positioning

2012-06-14 | GSE30103 | GEO

Effect of QTRT2 KO on mitochondrial translation

Project description:Mitochondria are organelles that generate most of the energy in eukaryotic cells in the form of ATP via oxidative phosphorylation in eukaryote. Twenty-two species of mitochondrial (mt-)tRNAs encoded in mtDNA are required to translate essential subunits of the respiratory chain complexes involved in oxidative phosphorylation. mt-tRNAs contain post-transcriptional modifications introduced by nuclear-encoded tRNA-modifying enzymes. These modifications are required for deciphering genetic code accurately, as well as stabilizing tRNA. Loss of tRNA modifications frequently results in severe pathological consequences. We performed a comprehensive analysis of post-transcriptional modifications of all human mt-tRNAs, including 14 previously-uncharacterized species, and revised the modification status of some of the previously studied species. In total, we found 17 kinds of RNA modifications at 137 positions (8.7% in 1,575 nucleobases) in 22 species of human mt-tRNAs. An up-to-date list of 34 genes responsible for human mt-tRNA modifications are provided. We here demonstrated that both QTRT1 and QTRT2 are required for biogenesis of queuosine (Q) at position 34 of four mt-tRNAs. Our results provide insight into the molecular mechanisms underlying the mitochondrial decoding system, and could help to elucidate the molecular pathogenesis of human mitochondrial diseases caused by aberrant tRNA modifications.

2020-08-28 | GSE150439 | GEO

Differential expression of human tRNA genes drives the abundance of tRNA-derived fragments

Project description:The human genome encodes hundreds of tRNA genes but their individual contribution to the tRNA pool is not fully understood. Deep sequencing of tRNA transcripts (tRNA-Seq) can estimate tRNA abundance at single gene resolution, but tRNA structures and post-transcriptional modifications impair these analyses. Here we present a bioinformatics strategy to investigate differential tRNA gene expression and use it to compare tRNA-Seq datasets from cultured human cells and human brain. We find that sequencing caveats affect quantitation of only a subset of human tRNA genes. Unexpectedly, we detect several cases where the differences in tRNA expression among samples do not involve variations at the level of isoacceptor tRNA sets (tRNAs charged with the same amino acid but using different anticodons); but rather among tRNA genes within the same isodecoder set (tRNAs having the same anticodon sequence). Because isodecoder tRNAs are functionally equal in terms of genetic translation, their differential expression may be related to non-canonical tRNA functions. We show that several instances of differential tRNA gene expression result in changes in the abundance of tRNA-derived fragments (tRFs) but not of mature tRNAs. Examples of differentially expressed tRFs include: PIWI-associated RNAs, tRFs present in tissue samples but not in cells cultured in vitro, and somatic tissue-specific tRFs. Our data support that differential expression of tRNA genes regulate non-canonical tRNA functions performed by tRFs.

2019-04-17 | GSE114904 | GEO

Determination of tRNA aminoacylation levels by high throughput sequencing

Project description:Here we develop a high throughput sequencing method that enables accurate determination of charged tRNA fractions at single base resolution (Charged tRNA-seq). Our method takes advantage of the recently developed DM-tRNA-seq method, but includes additional chemical steps that specifically remove the 3'A residue in the uncharged tRNA. Charging fraction is obtained by counting the fraction of A-ending reads versus A+C-ending reads for each tRNA species. In HEK293T cells, most cytosolic tRNAs are charged at >90% levels, whereas tRNASer and tRNAThr are generally charged at lower levels. These low charging levels were validated using acid denaturing gels. Our method should be widely applicable for investigations of tRNA charging as a parameter for biological regulation.

2017-06-15 | GSE97259 | GEO

Transfer RNAs mediate rapid adaptation of Escherichia coli under oxidative stress

Project description:We performed tRNAome sequencing to assess the tRNA changes of E.coli under oxidative stress. We found that the global translation inhibition is caused by global down-regulation of almost all tRNA species under oxidative stress. The translation elongation speed is resumed after the cells are fully adapted to the oxidative environment.

2015-05-28 | GSE62995 | 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