Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Single-cell m6A profiling reveals mRNA methylation heterogeneity and unique cellular m6A signatures

ABSTRACT: We used DART-seq to map m6A methylation of RNA in single HEK293T cells. We also used DART-seq to map m6A from bulk RNA from HEK293T cells. Using the 10X Genomics and SMART-seq2 platforms, we sequenced a total of 19,533 experimental and control cells using the 10X Genomics platform, and 1,471 experimental and control cells using SMART-seq2. We then used a Bullseye, a computational pipeline developed within the lab, to identify m6A sites from the C-to-U mutations in bulk and single-cell datasets. We find that most m6A methylation is highly heterogenous from cell-to-cell. RNAs containing m6A methylation, are infrequently methylated, and that most individual sites are rarely methylated within the population. Additionally, we are able to identify differentially methylated RNAs in different cellular states from within a single population, and use m6A methylation information to perform clustering of single cells to find a source of novel cellular heterogeneity.

ORGANISM(S): Homo sapiens

PROVIDER: GSE180954 | GEO | 2022/01/25

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

m6A RNA methylation promotes XIST-mediated transcriptional repression

Project description:XIST is a long non-coding RNA (lncRNA) that mediates transcriptional silencing of X chromosome genes. Here we show that XIST is highly methylated with at least 78 N6-methyladenosine (m6A) residues, a reversible base modification whose function in lncRNAs is unknown. We show that m6A formation in XIST, as well as cellular mRNAs, is mediated by RBM15 and its paralog RBM15B, which bind the m6A-methylation complex and recruit it to specific sites in RNA. This results in methylation of adenosines in adjacent m6A consensus motifs. Furthermore, knockdown of RBM15 and RBM15B, or knockdown of the m6A methyltransferase METTL3 impairs XIST-mediated gene silencing. A systematic comparison of m6A-binding proteins shows that YTHDC1 preferentially recognizes m6A in XIST and is required for XIST function. Additionally, artificial tethering of YTHDC1 to XIST rescues XIST-mediated silencing upon loss of m6A. These data reveal a pathway of m6A formation and recognition required for XIST-mediated transcriptional repression. Three to four biological HEK293T replicates were used to perform iCLIP of endogenous YTH proteins, RBM15, and RBM15B. Crosslinking induced truncations were identified using CIMS-CITS pipeline.

2016-09-07 | E-GEOD-78030 | biostudies-arrayexpress

DART-seq: an antibody-free method for global m6A detection

Project description:m6A is a widespread RNA modification which plays important roles in the regulation of gene expression. Methods for the global detection of m6A rely on immunoprecipitation of methylated transcripts using m6A antibodies. However, these methods are costly and require large amounts of input RNA, making them prohibitive for many experiments. Here, we describe DART-seq, an antibody-free method for m6A detection which enables transcriptome-wide mapping of m6A residues using low amounts of input material. DART-seq can be used to obtain global m6A maps using as little as 10 nanograms of total RNA and at single-molecule resolution. This method offers several improvements over current techniques and will facilitate detection of m6A in limiting cell and tissue types.

2019-09-23 | GSE125780 | GEO

Improved methods for deamination-based m6A detection

Project description:We present an improved version of DART-seq which utilizes a variant of the YTH domain engineered to achieve enhanced m6A recognition in APO1-YTH (D422N). In addition, we develop in vitro DART-seq and show that it performs similarly to cellular DART-seq and can map m6A in any sample of interest using nanogram amounts of total RNA.

2022-05-11 | GSE196416 | GEO

m6A reader CPSF70 controls polyadenylation site choice through m6A-dependent recognition of FUE polyadenylation signal

Project description:We conduct herein a systematic study of mRNA recognition and consequent polyadenylation processing of the Arabidopsis mRNA by m6A reader protein CPSF70. Transcriptome-wide characterization of CPSF70-binding sites supporting the recognition m6A-methylated mRNA with CPSF70, and the results of which linked polyadenylation signals recognition. We then perform 3’end sequencing with A-seq2 to identify CPSF70-dependent APA process, showing that CPSF70 modulate m6A–dependent polyadenylation with FUE recognition.

2022-01-15 | GSE143720 | GEO

m6A level and isoform characterization sequencing (m6A-LAIC-seq) reveal the census and complexity of the m6A epitranscriptome

Project description:N6-methyladenosine (m6A) is a widespread reversible chemical modification of RNAs, implicated in many aspects of RNA metabolism. Little quantitative information exists as to either how many transcript copies of particular genes are m6A modified (âm6A levelsâ), or the relationship of m6A modification(s) to alternative RNA isoforms. To deconvolute the m6A epitranscriptome, we developed m6A level and isoform-characterization sequencing (m6A-LAIC-seq). We found that cells exhibit a broad range of non-stoichiometric m6A levels with cell type specificity. At the level of isoform characterization, we discovered widespread differences in use of tandem alternative polyadenylation (APA) sites by methylated and nonmethylated transcript isoforms of individual genes. Strikingly, there is a strong bias for methylated transcripts to be coupled with proximal APA sites, resulting in shortened 3â untranslated regions (3â-UTRs), while nonmethylated transcript isoforms tend to use distal APA sites. m6A-LAIC-seq yields a new perspective on transcriptome complexity and links APA usage to m6A modifications. m6A-LAIC-seq of H1-ESC and GM12878 cell lines, each cell line has two replicates

2016-06-24 | E-GEOD-66086 | biostudies-arrayexpress

Single-cell RNA-Seq Analysis of Retinal Development Identifies NFI Factors as Regulating Mitotic Exit and Late-Born Cell Specification

Project description:Single cell RNA sequencing using either an adapted Smart-seq2 protocol on Chx10-GFP (+) retinal progenitor cells; 10x Genomics Chromium Single Cell system across 10 timepoints of mouse retinal development to examine retinal progenitor cell heterogeneity across retinal development and global changes in gene expression from early retinal neuroepithelial cells through specification and differentiation of retinal cell types; 10X Genomics Chromium Single Cell on P14 Nfia/b/x het control or Nfia/b/x tCKO (Chx10-Cre-GFP) retinas

2019-05-22 | GSE118614 | GEO

m6A in 5â untranslated regions promotes cap-independent translation of mRNA

Project description:N6-methyladenosine (m6A) is a widespread internal RNA modification whose function is poorly understood. Here we report that m6A residues within the 5'UTR promote a novel form of cap-independent translation which is mediated through an interaction between m6A residues and the translation initiation factor, eIF3. We present eIF3a PAR-iCLIP data which demonstrate that eIF3 predominantly binds mRNAs within the 5'UTR. eIF3 binding sites are also in proximity to m6A residues within the 5'UTR of cellular mRNAs. Two replicates of eIF3a PAR-iCLIP in HEK293T cells.

2015-10-26 | E-GEOD-73405 | biostudies-arrayexpress

Placental epitranscriptome-wide analysis of revealed the m6A modification level at 5’ UTR related fetal growth

Project description:To further understand the relationship between the level of gene expression and protein translation in human placenta, we focused on N6-methyladenosine: m6A, which is a methylation modification of mRNA acting as a post-transcriptional regulation which has drawn attention in recent years. It is said that m6A affects the fate of mRNA. In addition, it is thought that m6A affects gene expression in the placenta of preeclampsia which is a representative disease of perinatal period and fetal growth abnormality, and the placentas of children who were small for date (SFD) or heavy for date (HFD) were studied in addition to appropriate for date (AFD) preganancies. The SFD placentas contained half of the cases with PE. HEK293T cell was used to confirm the experimental system. PolyA RNA was purified from each tissue and cell, and libraries were prepared from immunoprecipitated (IP) samples using anti-m6A antibody and input samples, and sequenced with Hiseq 1500/2500 and RNAseq was carried out.

2019-10-10 | E-MTAB-6507 | biostudies-arrayexpress

Identification of human proteins whose binding to the N6-methyladenosine-containing hairpin from 28S rRNA is modulated by methylation

Project description:We have recently found that the human methyltransferase ZCCHC4 is responsible for introducing the single m6A modification in 28S rRNA. The project is aimed at further elucidating the functional consequences of such methylation. To this end, protein mass spectrometry is utilized to identify proteins that bind preferentially to the methylated or unmethylated form of the m6A containing hairpin sequence in 28S rRNA. Specifically, this is done by incubating a HeLa cell extract with an methylated or unmethylated RNA oligonucleotide containing a biotin affinity tag, which is used to pull-down the RNA with associated proteins.

2019-11-22 | PXD013354 | Pride

Human resident memory T cells exit the skin and mediate systemic Th2-driven inflammation.

Project description:To investigate the transcriptional profile of human circulating T cells with skin tissue-resident memory phenotype (cTRM) in GVHD we performed bulk RNA sequencing from SMART-seq2 of sorted human cTRM (CD3+ CD4+ CLA+ CD103+) and conventional T cells (CD3+ CD4+ CD103-), and single cell RNA sequencing from 10X Genomics of sorted human CD45+, both from isolated blood PBMCs of patients with active acute GVHD.

2021-09-24 | GSE183212 | 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