Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

A nanopore long-read transcriptome in pancreatic cancer cells

ABSTRACT: This project aims to leverage Oxford Nanopore Technologies (ONT) long-read RNA sequencing to achieve a comprehensive analysis of the human pancreatic cancer transcriptome. Traditional short-read sequencing methods often struggle with accurately reconstructing full-length transcripts and discerning complex splicing events due to their limited read lengths. In contrast, ONT's long-read sequencing can generate reads that span entire RNA molecules, facilitating precise identification of transcript isoforms, alternative splicing patterns, and poly(A) tail length. By applying this technology, we seek to enhance the annotation of the pancreatic cancer transcriptome, uncover novel transcripts, and gain deeper insights into gene expression dynamics. The findings from this study have the potential to advance our understanding of gene regulation and contribute to the development of novel therapeutic strategies.

ORGANISM(S): Homo sapiens

PROVIDER: GSE293661 | GEO | 2025/07/23

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

New insights of Arabidopsis transcriptome complexity revealed by direct sequencing of native RNAs

Project description:The transcriptome profiles of the model plant Arabidopsis thaliana have been extensively studied and charcaterised under different developmental and physiological conditions. However, most of these “RNA-sequencing” datasets have been generated using the sequencing of reverse-transcribed cDNAs from mRNAs that have a relatively short read length. Here, we performed direct RNA sequencing using the latest Oxford Nanopore Technology (ONT) with unusual read length. We demonstrate that the complexity of the A. thaliana transcriptomes has been under-estimated. The ONT direct RNA sequencing technology identified transcript isoforms at a vegetative (14 day old seedlings, stage 1.04) and a reproductive stage (stage 6.00-6) when 10% of the flowers had opened. In-house software called TrackCluster was used to determine alternative transcription initiation (ATI), possible alternative polyadenylation (APA), poly(A) length, alternative splicing (AS), and fusion transcripts. Tombo software was used to detect RNA base modifications. More than 38,500 novel transcript isoforms were identified, including six categories of fusion-transcripts which may result from differential RNA processing mechanisms. Fusion-transcripts are prone to mis-assembly by sequencing with short reads using next-generation-sequencing (NGS). These new transcript isoforms provide important additions to the annotated Arabidopsis genome. The power of ONT in detecting RNA modifications was demonstrated by characterisation of the modifications between mobile mRNAs and total mRNAs. The mobile mRNAs were enriched in m5C modifications, which is consistent with a recent finding that m5C modification in mRNAs is crucial for their long-distance movement. In summary, ONT direct RNA sequencing greatly enhances the identification of novel RNA transcript isoforms and RNA base modifications.

2020-08-02 | GSE144828 | GEO

Analysis and comprehensive comparison of Pacbio and Nanopore-based RNA-sequencing in Arabidopsis transcriptome

Project description:Rapidly increased studies by third-generation sequencing [Pacific Biosciences (Pacbio) and Oxford Nanopore Technologies (ONT)] have been used in all kinds of research areas. Among them, the plant full-length single-molecule transcriptome studies were most used by Pacbio while ONT was rarely used. Therefore, in this study, we developed ONT RNA-sequencing methods in plants. We performed a detailed evaluation of reads from Pacbio and Nanopore PCR cDNA (ONT Pc) sequencing in plants (Arabidopsis), including the characteristics of raw data and identification of transcripts. We aimed to provide a valuable reference for applications of ONT in plant transcriptome analysis.

2019-12-15 | GSE141641 | GEO

Nanopore sequencing unveils the complexity of the murine brown adipose tissue transcriptome: ONT PCR RNA-Seq (TeloPrime) of iBAT from cold treated mice [03_iBAT_teloprime]

Project description:Alternative splicing contributes to transcriptomic complexity and plays a role in the regulation of cellular identity and function, but the correct assembly of transcripts of complex loci as well as their quantification based on short-read sequencing is non-trivial. Recent long-read sequencing methods such as those from ONT and PacBio overcome these problems by potentially sequencing full transcripts. The activation of brown adipose tissue e.g., by reduced ambient temperature (cold) exposure, positively affects metabolism by increasing energy expenditure and releasing endocrine factors and has been shown to involve specific alternative splicing events. Here we assessed important features of ONT long read sequencing protocols in relation to Illumina short read sequencing: (i) Alignment characteristics to the reference genome and transcriptome, (ii) Gene and transcript detection and quantification, (iii) Detection of differential gene and transcript expression events, (iv) Transcriptome reannotation and (v) Detection of differential transcript usage events. We find that ONT long-read sequencing is advantageous in terms of transcriptome reassembly, especially when the reads are enriched for full length reads. Illumina sequencing, due to the higher number of counts available, has a higher statistical power for calling differentiall expressed/used features, whereas long-read sequencing has a lower risk of calling false positive events due to the better ability to unambiguously map reads to transcripts. Finally we describe novel transcript isoforms in cold-activated murine iBAT reassembled from ONT long reads.

2023-09-18 | GSE212571 | GEO

Nanopore sequencing unveils the complexity of the murine brown adipose tissue transcriptome: ONT direct RNA-Seq of iBAT from cold treated mice [02_iBAT_rna]

2023-09-18 | GSE212570 | GEO

Nanopore sequencing unveils the complexity of the murine brown adipose tissue transcriptome: Illumina RNA-Seq of eWAT from cold treated mice [05_eWAT_illumina]

2023-09-18 | GSE212573 | GEO

Nanopore sequencing unveils the complexity of the murine brown adipose tissue transcriptome: ONT direct cDNA-Seq of iBAT from cold treated mice [04_iBAT_cdna]

2023-09-18 | GSE212572 | GEO

Nanopore sequencing unveils the complexity of the murine brown adipose tissue transcriptome: Illumina RNA-Seq of iBAT from cold treated mice [01_iBAT_illumina]

2023-09-18 | GSE212569 | GEO

Nanopore sequencing unveils the complexity of the murine brown adipose tissue transcriptome

2025-05-19 | GSE296616 | GEO

Aberrant splicing isoforms detected by full-length transcriptome sequencing as transcripts of potential neoantigens in non-small cell lung cancer

Project description:To identify aberrant splicing isoforms and potential neoantigens, we performed full-length cDNA sequencing of lung adenocarcinoma cell lines using a long-read sequencer MinION. We constructed a comprehensive catalog of aberrant splicing isoforms and detected isoform-specific peptides using proteome analysis.

2020-12-09 | PXD019915 | JPOST Repository

A technology-agnostic long-read analysis pipeline for transcriptome discovery and quantification

Project description:Alternative splicing is widely acknowledged to be a crucial regulator of gene expression and is a key contributor to both normal developmental processes and disease states. While cost-effective and accurate for quantification, short-read RNA-seq lacks the ability to resolve full-length transcript isoforms despite increasingly sophisticated computational methods. Long-read sequencing platforms such as Pacific Biosciences (PacBio) and Oxford Nanopore (ONT) bypass the transcript reconstruction challenges of short-reads. Here we describe TALON, the ENCODE4 pipeline for analyzing PacBio cDNA and ONT direct-RNA transcriptomes. We apply TALON to three human ENCODE Tier 1 cell lines and show that while both technologies perform well at full-transcript discovery and quantification, each one displayed distinct artifacts. We further apply TALON to mouse cortical and hippocampal transcriptomes and find that a substantial proportion of neuronal genes have more reads associated with novel isoforms than with annotated ones. These data show that TALON is a technology-agnostic long-read transcriptome discovery and quantification pipeline capable of tracking both known and novel transcript models, as well as their expression levels, across datasets for both simple studies and in larger projects. These properties will enable TALON users to move beyond the limitations of short-read data to perform isoform discovery and quantification in a uniform manner on existing and future long-read platforms.

2020-03-18 | GSE147118 | 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