Browse
Submit Data
Databases
API
Help

Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

48 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

RNA-seq of the human colorectal adenocarcinoma cell line HCT-116 treated with 5-aza-2’-deoxycytidine

ABSTRACT: We performed poly(A)+ stranded RNA-seq of a panel of the human colorectal adenocarcinoma cell line HCT-116 treated with 5-aza-2’-deoxycytidine. In parallel, we determined the genomic location and DNA methylation levels of human full-length LINE-1 elements (L1) from the same samples using bs-ATLAS-seq (E-MTAB-12240). To link DNA methylation and L1 expression, we used cell pellets from the same cell culture to perform both RNA-seq and bs-ATLAS-seq.

INSTRUMENT(S): NextSeq 500

ORGANISM(S): Homo sapiens

SUBMITTER: Gael Cristofari

PROVIDER: E-MTAB-12245 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Json Xml

Similar Datasets

Genome-wide identification and DNA methylation of human full-length LINE-1 (L1) retrotransposons in HCT116 cells treated with 5-aza-2’-deoxycytidine.

Project description:We used bs-ATLAS-seq to comprehensively map the genomic location and assess the DNA methylation status of human full-length LINE-1 elements (L1). The approach is focused on the youngest family (L1HS), but it also catches a significant fraction of L1PA2 to L1PA8 elements. This was performed in HCT116 cells treated by the DNA methyltransferase inhibitor 5-aza-2’-deoxycytidine (5-aza) or in mock-treated cells (DMSO).

2023-09-22 | E-MTAB-12240 | biostudies-arrayexpress

RNA-seq of a panel of human normal and cancer cell lines

Project description:We performed poly(A)+ stranded RNA-seq of a panel of human primary or transformed cell lines (BJ, IMR90, MRC5, K562, HCT116, HeLa S3, HepG2, MCF7, HEK-293, HEK-293T, 2102Ep). In parallel, we determined the genomic location and DNA methylation levels of human full-length LINE-1 elements (L1) from the same cell lines using bs-ATLAS-seq (E-MTAB-10895). To link DNA methylation and L1 expression, we used cell pellets from the same cell culture to perform both RNA-seq and bs-ATLAS-seq.

2023-09-21 | E-MTAB-12246 | biostudies-arrayexpress

MicroRNA profiling of HCT-116 versus HCT-116 treated with 5-aza-2'-deoxycytidine processing human colon cancer cell lines

Project description:UCRs expression signature of HCT-116 cell lines versus HCT-116 cell line treated with DNA methylation inhibitor 5-aza-2'-deoxycytidine

2010-03-09 | E-MTAB-196 | biostudies-arrayexpress

H3K4me3 and YY1 ChIP-seq of untreated 2102Ep cells

Project description:We used bs-ATLAS-seq to comprehensively map the genomic location and assess the DNA methylation status of human full-length LINE-1 elements (L1) in the genome of 2102Ep cells (E-MTAB-10895). We also achieved targeted nanopore sequencing to assay DNA methylation over a subset of loci (E-MTAB-12247). To further study the link between L1 DNA methylation and expression, we performed, in the same cell line, RNA-seq (E-MTAB-12246), as well as YY1 and H3K4me3 ChIP-seq (this dataset).

2023-09-23 | E-MTAB-12249 | biostudies-arrayexpress

Targeted nanopore resequencing and methylation analysis of LINE-1 retrotransposons

Project description:We used the nanopore Cas9 targeted sequencing (nCATS) strategy to specifically sequence 125 L1HS-containing loci in parallel and measure their DNA methylation levels using nanopore long-read sequencing. Each targeted locus is sequenced at high coverage (~45X) with unambiguously mapped reads spanning the entire L1 element, as well as its flanking sequences over several kilobases. The genome-wide profile of L1 methylation was also assessed by bs-ATLAS-seq in the same cell lines (E-MTAB-10895).

2023-09-22 | E-MTAB-12247 | biostudies-arrayexpress

Genome-wide identification and DNA methylation of human full-length LINE-1 (L1) retrotransposons in a panel of embryonic stem cells, induced-pluripotent stem cells and their progenitor cells

Project description:We used bs-ATLAS-seq to comprehensively map the genomic location and assess the DNA methylation status of human full-length LINE-1 elements (L1). The approach is focused on the youngest family (L1HS), but it also catches a significant fraction of L1PA2 to L1PA8 elements. This was performed in a panel of embryonic stem cells, induced-pluripotent stem cells and their progenitor cells, at different passages.

2023-09-30 | E-MTAB-10904 | biostudies-arrayexpress

Genome-wide identification and DNA methylation of human full-length LINE-1 (L1) retrotransposons in a panel of normal and cancer cell lines.

Project description:We used bs-ATLAS-seq to comprehensively map the genomic location and assess the DNA methylation status of human full-length LINE-1 elements (L1). The approach is focused on the youngest family (L1HS), but it also catches a significant fraction of L1PA2 to L1PA8 elements. This was performed in a panel of 12 human primary or transformed cell lines (BJ, IMR90, MRC5, H1, K562, HCT116, HeLa S3, HepG2, MCF7, HEK-293, HEK-293T, 2102Ep).

2021-12-15 | E-MTAB-10895 | biostudies-arrayexpress

Transcriptomic data of bevacizumab-adapted colorectal adenocarcinoma cells HCT-116.

Project description:A bioinformatic approach was applied to evaluate the effect of treatment with Bevacizumab on the gene expression profile of colorectal adenocarcinoma cells. The transcriptomic profile of Bevacizumab-adapted HCT-116 (Bev/A) colorectal adenocarcinoma cells was determined and compared with that of the corresponding control cell line by Agilent microarray analysis. Raw data were preprocessed, normalized, filtered, and subjected to a differential expression analysis using standard R/Bioconductor packages (i.e., limma, RankProd). As consequence of Bevacizumab adaptation, 166 differentially expressed genes (DEGs) emerged, most of them (123) resulted downregulated and 43 overexpressed. The list of statistically significant dysregulated genes was used as an input for functional overrepresentation analysis using ToppFun web tool. Such analysis pointed at cell adhesion, cell migration, extracellular matrix organization and angiogenesis as the main dysregulated biological process involved in Bevacizumab-adaptation of HCT116 cells. In addition, gene set enrichment analysis was performed using GSEA, searching for enriched terms within the Hallmarks (H), Canonical Pathways (CP), and Gene Ontology (GO) gene sets. GO terms that showed significant enrichment included: transportome, vascularization, cell adhesion and cytoskeleton, extra cellular matrix (ECM), differentiation and epithelial-mesenchymal transition (EMT), inflammation and immune response. Raw and normalized microarray data were deposited in the Gene Expression Omnibus (GEO) public repository with accession number GSE221948.

| S-EPMC10090242 | biostudies-literature

Bottom-up proteomic analysis of single HCT 116 colon carcinoma multicellular spheroids.

Project description:RationaleProteomic analysis of single multicellular spheroids has not been previously reported. As three-dimensional cell cultures are an increasingly popular model system for biological research, there is interest in obtaining proteomic profiles of these samples. We investigated the proteome of single HCT 116 multicellular spheroids using protocols optimized for small sample sizes.MethodsSix biological replicates were analyzed via microscopy for size. Total protein content was assessed via the bicinchoninic acid assay (BCA assay). Five separate biological replicate spheroids were analyzed via mass spectrometry in technical duplicate. An ultra-performance liquid chromatography (UPLC) system coupled with an LTQ Orbitrap Velos was used for peptide separation, analysis, and identification.ResultsThe average diameter of six replicate HCT 116 spheroids was 940 ± 30 µm and the average total protein amount was determined to be 39 ± 4 µg. At least 1300 protein groups were identified in each single LC/MS/MS run with 10% of the material from each single spheroid loaded. Database search results showed variation between spheroid protein group identifications. Pearson correlations show that the disparity in identifications is due to random variations in spectra and protocol.ConclusionsWe detected more than 1350 protein groups in each replicate HCT 116 spheroid. While some variation was detected between replicates, differences in the number of protein groups identified were determined to be the result of random variations in mass spectra acquisition.

| S-EPMC4763982 | biostudies-literature

APC ChIP-seq in HCT-116 colon cancer cell line

Project description:Anti-APC ChIP-seq data were collected from HCT-116 cells and 3,985 genomic sequences were found to be enriched in both independent biological replicates.

2018-05-24 | GSE99262 | 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