Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Human lung cancer cell lines DMS-273 (SCLC) and NCI-H1437 (NSCLC): scrambled vs. shRNA clones

ABSTRACT: Transcriptional profiling of two human lung cancer cell lines, DMS-273 (small cell lung cancer) and NCI-H1437 (non-small cell lung cancer), stably transfected either with innocuous scrambled shRNAs or SETDB1-specific.The objective was to identify global gene expression changes due to the depletion of the H3K9me3 methyltransferase SETDB1.

ORGANISM(S): Homo sapiens

PROVIDER: GSE45175 | GEO | 2013/11/15

SECONDARY ACCESSION(S): PRJNA193325

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Similar Datasets

Human lung cancer cell lines DMS-273 (SCLC) and NCI-H1437 (NSCLC): scrambled vs. shRNA clones

Project description:Transcriptional profiling of two human lung cancer cell lines, DMS-273 (small cell lung cancer) and NCI-H1437 (non-small cell lung cancer), stably transfected either with innocuous scrambled shRNAs or SETDB1-specific.The objective was to identify global gene expression changes due to the depletion of the H3K9me3 methyltransferase SETDB1. 3 replicates for DMS-273 and 1 Control; 2 replicates for NCI-H1437 and 1 Control

2013-11-15 | E-GEOD-45175 | biostudies-arrayexpress

Human lung cancer cell lines DMS-273 (SCLC) and NCI-H1437 (NSCLC): scrambled vs. shRNA clones

Project description: Not available

| S-ECPF-GEOD-45175 | biostudies-other

PM01183 on SCLC cell lines [ChIP-Seq, DMS-53]

Project description:PM01183 on SCLC cell lines [ChIP-Seq, DMS-53]

| PRJNA787467 | ENA

Targeted DMS probing of SF3A3 5' UTR

Project description:To delineate the native structure of SF3A3 5'UTR, RNA was harvested from IMR90 human fibroblasts. Using specific primers and DMS-MaPSeq pipeline, we validated individual base pairing probabilities within the endogenous 5'UTR of SF3A3 (samples described as 'in vivo' transcribed). DMS-MaP-Seq is based on the principle that DMS is highly reactive to solvent-accessible, unpaired adenine (A) and cytosine (C) residues, but remains inert toward base-paired A and C engaged in Watson-Crick interactions (Rouskin et al., 2014). Using this methodology, we identify stable stem-loop structure (SL3) positioned within SF3A3 5'UTR. To further validate the functional importance of SL3, the structural point mutant (SF3A3 5'UTR mut: A55C and U95A) and rescue (SF3A3 5'UTR res: A55C and U95A and rescuing point mutations G61U and U100G) sequences of SF3A3 5'UTR were cloned into the reporter plasmid. For the validation of these mutate-and-rescue constructs, plasmids were in vitro transcribed and either used directly (samples described as 'in vitro') for DMS-MaP-Seq probing.

2021-03-25 | GSE147504 | GEO

DMS-seq for in vivo genome-wide mapping of protein–DNA interactions and nucleosome centers

Project description:Dimethyl sulfate (DMS) is a methylating reagent that has long been used to detect footprints of DNA-bound proteins in vitro as well as in vivo. Here we describe DMS-seq for in vivo genome-wide mapping of protein-DNA interactions. DMS-seq exploits the cell-permeable nature of DMS to obviate the need for nuclear isolation, thereby simplifying the process to detect binding sites of transcription factors. Furthermore, we found that DMS preferentially attacks nucleosome centers in vivo, evidencing for DMS-seq as a first method that locates them without using genetically-modified histones and is hence applicable to any eukaryote. DMS-seq should be a simple and unique method in epigenomics.

2017-09-18 | GSE92973 | GEO

DMS-MaPseq: A genome-wide or targeted approach for RNA structure probing in vivo

Project description:Here we present dimethyl sulfate mutational profiling with sequencing (DMS-MaPseq), which encodes DMS modifications as mismatches using a thermostable group II intron reverse transcriptase (TGIRT). DMS-MaPseq yields a high signal-to-noise ratio, can report multiple structural features for each molecule, and allows genome-wide studies as well as focused investigations of low abundance RNAs. We apply DMS-MaPseq to Drosophila melanogaster ovaries—the first experimental analysis of RNA structure in an animal tissue—and demonstrate its utility in the discovery of a functional RNA structure involved in the non-canonical GUG translation initiation of the human FXR2 mRNA. Additionally, we use DMS-MaPseq to compare the in vivo structure of messages in their pre-mRNA and mature forms. These applications illustrate DMS-MaPseq’s capacity to dramatically expand our ability to monitor RNA structure in vivo.

2016-09-16 | GSE84537 | GEO

Probing in vivo RNA structure with optimized DMS-MaPseq in rice

Project description:Here, we use dimethyl sulfate mutational profiling with sequencing (DMS-MaPseq) to conduct a target-specific and genome-wide profile of in vivo RNA secondary structure in rice (Oryza sativa). Our study presents an optimized DMS-MaPseq for probing in vivo RNA structure in rice.

2022-04-05 | GSE197245 | GEO

Homo sapiens

Project description:Human lung cancer cell lines DMS-273 (SCLC) and NCI-H1437 (NSCLC): scrambled vs. shRNA clones

| PRJNA193325 | ENA

DMS-MapSeq Analysis of Antisense Oligonucleotide Binding to lncRNA PANDA

Project description:While various methods exist for examining and visualizing the structure of RNA molecules, dimethyl sulfate-mutational profiling and sequencing (DMS-MaPseq) stands out for its simplicity and versatility. This technique has proven effective for studying RNA structures both in vitro and in complex biological settings. We've updated the protocol for using DMS-MaPseq, and it can also be employed to identify the binding of antisense oligonucleotides (ASOs) to RNA. By applying this updated protocol, we successfully characterized the structural ensemble of the HIV1 Rev Response Element (RRE), along with its two alternative structures. The findings align with previously published research. Additionally, we resolved the structure of the long non-coding RNA PANDA, which was previously unknown. Moreover, we used PANDA as a basis for designing ASOs and confirmed their binding through a substantial decrease in DMS-reactivities at the anticipated ASO binding locations.

2024-01-09 | GSE250290 | GEO

Enhanced DMS-MaP enables superior RNA structural analysis

Project description:We develop an enhanced MaP protocol based on MarathonRT and bioinformatic optimizations which enables robust DMS probing of all four RNA nucleotides within living cells. We demonstrate this on RNA from E. coli and HEK293 cell lines.

2023-05-12 | GSE225383 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

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