Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

RNA-seq of small cell lung cancer [circRNA-Seq]

ABSTRACT: RNA-seq of small cell lung cancer [circRNA-Seq]

PROVIDER: PRJNA798093 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR17648157_1.fastq.gz	Fastqsanger.gz
	SRR17648157_2.fastq.gz	Fastqsanger.gz
	SRR17648158_1.fastq.gz	Fastqsanger.gz
	SRR17648158_2.fastq.gz	Fastqsanger.gz

Items per page:

1 - 4 of 4

Similar Datasets

RNA-seq of small cell lung cancer [circRNA-Seq]

Project description:We used CCK-8 experiment to determine the chemotherapy tolerance of small cell lung cancer cells, from which we found chemotherapy-sensitive cells (H446) and chemotherapy-tolerant cells (SHP77).By RNA-SEQ, we identified 401 circRNAs with abnormal expression associated with chemotherapy tolerance, including 212 up-regulated circRNAs and 189 down-regulated circRNAs. Through qRT-PCR verification, several circRNAs related to chemotherapy tolerance of small cell lung cancer were found, which helped us to further clarify the mechanism of chemotherapy tolerance of small cell lung cancer.

2023-06-30 | GSE193851 | GEO

RNA-seq of small cell lung cancer [Small RNA-Seq]

Project description:RNA-seq of small cell lung cancer [Small RNA-Seq]

| PRJNA798099 | ENA

RNA-seq of small cell lung cancer

Project description:RNA-seq of small cell lung cancer

| PRJNA798095 | ENA

Small Cell Lung Cancer

Project description:Small Cell Lung Cancer

| PRJNA314262 | ENA

Small cell lung cancer

Project description:Small cell lung cancer

| PRJNA672692 | ENA

Genome-wide analysis of circRNA expression profile in non-small cell lung cancer (NSCLC) tissues and matched adjacent normal tissues

Project description:Non-small cell lung cancer (NSCLC) is a common lung disorder.Recent studies have shown that circRNA plays critical roles in a myriad of biological processes and human diseases,Since the roles of circRNA in NSCLC remain unknown,they were investigated in the study.Our findings indicate that the expression profiles of circRNAs have changed in NSCLC as compared with normal lung, and may provide novel insight into the molecular mechanism underlying the disease and potential novel diagnostic or therapeutic targets for NSCLC.

2019-03-22 | GSE112214 | GEO

CircTLCD4-RWDD3 promotes lymphatic metastasis in non-small cell lung cancer

Project description:Lung cancer is the leading cause of cancer-related death worldwide, and non-small cell lung cancer (NSCLC) accounts for approximately 85% of lung cancers. Lymphatic metastasis serves as a predominant NSCLC metastatic route and an essential predictor of patient prognosis. Recently, circular RNA (circRNA) has emerged as critical mediator in various tumor initiation and progression. To identify essential circRNA that involves in the lymphatic metastasis of NSCLC, Next generation sequencing (NSG) was performed in 6 paired NSCLC tissues and normal adjacent tissues (NAT).

2023-12-01 | GSE235634 | GEO

RNA-seq of small cell lung cancer [PolyA RNA-Seq]

Project description:RNA-seq of small cell lung cancer [PolyA RNA-Seq]

| PRJNA798092 | ENA

RNA-seq of small cell lung cancer [Small RNA-Seq]

Project description:We used CCK-8 experiment to determine the chemotherapy tolerance of small cell lung cancer cells, from which we found chemotherapy-sensitive cells (H446) and chemotherapy-tolerant cells (SHP77).By RNA-SEQ, we found 99 miRNAs with abnormal expression associated with chemotherapy tolerance, including 69 up-regulated miRNAs and 30 down-regulated miRNAs. Several miRNAs related to chemotherapy tolerance of small cell lung cancer were found through qRT-PCR verification, which helped us to further clarify the mechanism of chemotherapy tolerance of small cell lung cancer.

2023-06-30 | GSE193853 | GEO

Combinatorial blood platelets-derived circRNA and mRNA signature for early-stage lung cancer

Project description:Despite the diversity of liquid biopsy transcriptomic repertoire, numerous studies often 30 exploit only a single RNA type signature for diagnostic biomarker potential. This frequently results 31 in insufficient sensitivity and specificity necessary to reach diagnostic utility. Combinatorial biomarker approaches may offer a more reliable diagnosis. Here we investigated the synergistic contributions of circRNA and mRNA signatures derived from blood platelets as biomarkers for lung cancer detection. We developed a comprehensive bioinformatics pipeline permitting analysis of platelet-circRNA and mRNA derived from non-cancer individuals and lung cancer patients. An optimal selected signature is then used to generate the predictive classification model using machine learning algorithm. Using an individual signature of 21 circRNA and 28 mRNA, the predictive models reached an Area Under the Curve (AUC) of 0.88 and 0.81, respectively. Importantly, combinatorial analysis including both types of RNAs resulted in an 8-target signature (6 mRNA and 2 40 circRNA) enhancing the differentiation of lung cancer from controls (AUC of 0.92). Additionally, we identified five biomarkers potentially specific for early-stage detection of lung cancer. Our proof-of-concept study presents the first multi-analyte-based approach for the analysis of platelets-derived biomarkers, providing a potential combinatorial diagnostic signature for lung cancer detection.

2023-06-23 | GSE225787 | 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