Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

ABSTRACT: RNA based Fusion gene analysis of Medullary Thyroid Cancer

PROVIDER: PRJNA954389 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR24133687_1.fastq.gz	Fastqsanger.gz
	SRR24133687_2.fastq.gz	Fastqsanger.gz

Items per page:

1 - 2 of 2

Similar Datasets

microRNA profile of human medullary thyroid cancer

Project description:To identify a microRNA profile of human medullary thyroid cancer (MTC), we performed a miRNA microarray analysis exploiting 8 primary tumours and 9 paired neck nodes metastases in comparison with 3 non-neoplastic thyroid tissues.

2018-03-01 | GSE97070 | GEO

Gene profile of human medullary thyroid cancer

Project description:Gene profile of human medullary thyroid cancer

| PRJNA804114 | ENA

Project description:DNA Sequencing and RNA Fusion Gene Analysis in Follicular Thyroid Cancer

| PRJNA901638 | ENA

Gene expression of thyroid cancer cell lines

Project description:Purpose: The primary goal of this study was to identify gene-expression profiles of anaplastic thyroid cancer and to identify some novel in-frame gene fusions that could result in translated protein products affecting the development of anaplastic thyroid cancer. Methods: RNAseq Data was processed with TCGA UNC V2 RNAseq protocol and different expressed genes were identify by using DESeq2, limma-voom, and edgeR. Potential fusion genes were identified by using SOAPfuse, Chimerascan and TopHat-Fusion. Potential fusion genes were confirmed by cDNA PCR and Sanger sequencing. Results: A total of 21 fusion genes were detected, including six predicted in-frame fusions; none were recurrent. Global gene expression analysis showed 661 genes to be differentially expressed between anaplastic thyroid cancer and papillary thyroid cancer cell lines, with pathway enrichment analyses showing downregulation of TP53-signaling as well as cell adhesion molecules in anaplastic thyroid cancer . Conclusions: Our study represents the first detailed analysis of anaplastic thyroid cancer cell lines and found several novel in-frame gene fusions that could result in translated protein products affecting the development of anaplastic thyroid cancer. These data provide novel insights into the tumorigenesis of anaplastic thyroid cancer and may be used to identify new therapeutic targets.

2017-05-08 | GSE94464 | GEO

RET alterations differentiate molecular profile and microbiome of medullary thyroid cancer

Project description:Genomic Profiling of Medullary Thyroid Cancer

| PRJEB59019 | ENA

Project description:RNA-based gene fusion analysis in Hyperthyroidism

| PRJNA956540 | ENA

DIFFERENTIAL GENE EXPRESSION OF MEDULLARY THYROID CARCINOMA REVEALS SPECIFIC MARKERS ASSOCIATED WITH GENETIC CONDITIONS.

Project description:Transcriptional analysis of 49 primary medullary thyroid carcinoma tumors. Comparisons MTCM918T vs MTC634 and MTCM918T vs MTCWT. 49 (52 hybridized tumors with 3 replicates) primary Medullary Thyroid Carcinoma (MTC) cases were hybridized onto a cDNA microarray in order to identify the unique markers for specific genetic classes of MTC.

2013-11-26 | E-GEOD-32662 | biostudies-arrayexpress

Gene profile of human medullary thyroid cancer

Project description:We report gene expression profiling in a series of 17 human medullary thyroid cancer (MTC) tissues, including 8 primary tumors and 9 patient paired neck nodes metastases, in comparison with 3 non-neoplastic thyroid tissues. For the same series we have previously reported miRNA expression profiles (GSE97070 series).

2022-04-27 | GSE196264 | GEO

Genome-wide association and epistatic studies in sporadic medullary and juvenile papillary thyroid carcinomas

Project description:Although many genetic studies on thyroid cancers using different approaches have been conducted, just a few loci have been systematically associated. Given the difficulties to obtain single-loci associations this work focuses on the study of epistatic interactions that could help to understand the genetic architecture of complex diseases and explain new heritable components of genetic risk. To our knowledge, this is the first genome-wide epistatic screening for epistasis ever performed in thyroid cancer. Here, we analyzed both sporadic medullary thyroid cancer (sMTC) and juvenile papillary thyroid cancer (PTC) patients. We have identified two significant epistatic gene interactions in sMTC (CHFR-AC016582.2 and C8orf37-RNU1-55P) and three in juvenile PTC (RP11-648k4.2-DIO1, RP11-648k4.2-DMGDH and RP11-648k4.2-LOXL1). Interestingly, each interacting gene pair included a non-coding RNA, providing thus support to the relevance that these elements are increasingly gaining to explain cancer development and progression. Overall, this study contributes to the understanding of the genetic basis of thyroid cancer susceptibility in two different case scenarios such as sMTC and juvenile PTC. It opens further ways of knowledge of new heritable components of genetic risk to disease through association and statistical viewpoints.

2016-02-01 | GSE67047 | GEO

Homo sapiens

Project description:microRNA profile of human medullary thyroid cancer

| PRJNA380619 | ENA