Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

ABSTRACT: human USC mitochondrial DNA sequencing

PROVIDER: PRJNA913803 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR22806652_1.fastq.gz	Fastqsanger.gz
	SRR22806652_2.fastq.gz	Fastqsanger.gz
	SRR22806653_1.fastq.gz	Fastqsanger.gz
	SRR22806653_2.fastq.gz	Fastqsanger.gz
	SRR22806654_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 8

Similar Datasets

Mapping three-dimensional intratumor proteomic heterogeneity in uterine serous carcinoma by multiregion microsampling

Project description:Uterine serous carcinoma (USC) represents only a small proportion of all uterine cancer cases, but patients with this aggressive subtype typically have high rates of chemotherapy resistance, disease recurrence, and constitute a disproportionately high percentage of the deaths. Improving the clinical management of USC is predicated by better characterization of the tumor microenvironment (TME) and the molecular features driving disease pathology. To improve our understanding of intratumoral heterogeneity (ITH) within the USC TME, we investigated proteome and transcriptome alterations in spatially resolved laser microdissection (LMD) enriched cellular subpopulations from nine USC patient tumor tissue specimens. LMD enriched samples were analyzed via liquid chromatography-tandem mass spectrometry (LC-MS/MS), reverse phase protein microarray (RPPA), and targeted RNA-sequencing (RNA-seq).

2024-01-24 | PXD044197 | Pride

Mapping GATA2 Occupancy in Uterine Serous Carcinoma

Project description:GATA2 expression predicts uterine serous carcinoma (USC) behavior and patient outcome. To identify putative GATA2 target genes, we performed anti-GATA2 ChIP-seq in Ark1 USC cells.

2025-02-19 | GSE277397 | GEO

Single Nuclei RNA Sequencing of Uterine Serous Carcinoma

Project description:Significant racial disparities exist between Black and White patients with uterine serous carcinoma (USC). While the reasons for these disparities are unclear, but several studies have demonstrated significantly distinct rates of driver mutations between racial groups, including TP53. However, limited research has investigated the transcriptional differences of the tumors between these groups, or the composition of the tumor microenvironment (TME) between these groups. Here, we report the findings from the first single nuclei RNA-sequencing experiment conducted on USC tumors. We find that there are significant differences between the tumors of Black and White patients. Tumors exhibited differential expression of specific genes associated with aggressiveness, such as PAX8, and axon guidance and synaptic signaling pathways in Black and White patients. We also demonstrated that differences in T cell and macrophage populations exist between benign and tumor tissues in the TME of USC, as well as between racial groups. Furthermore, we investigated the connection between PAX8 overexpression and immunosuppression in USC through regulation of several cytokines and chemokines. Notably, we show for the first time that PAX8 activity can influence macrophage gene expression and protein secretion. These studies provide a detailed understanding of USC and a basis for using racial information in USC treatment decisions.

2024-09-13 | GSE260683 | GEO

A Novel Orthotopic Mouse Model of Head and Neck Cancer and Lymph Node Metastasis

2012-10-29 | GSE41893 | GEO

PLK3 amplification and tumor immune microenvironment of metastatic tumors are linked to adjuvant treatment outcomes in uterine serous cancer

Project description:Uterine serous carcinoma (USC), an aggressive variant of endometrial cancer representing approximately 10% of endometrial cancer diagnoses, accounts for ~39% of endometrial cancer-related deaths. We examined the role of genomic alterations in advanced-stage USC associated with outcome using paired primary-metastatic tumors (n=29) treated with adjuvant platinum and taxane chemotherapy. Comparative genomic analysis of paired primary-metastatic patient tumors included whole exome sequencing and targeted gene expression. Both PLK3 amplification and the tumor immune microenvironment (TIME) in metastatic tumors were linked to time-to-recurrence (TTR) risk without any such association observed with primary tumors. TP53 loss was significantly more frequent in metastatic tumors of platinum-resistant versus platinum-sensitive patient and was also associated with increased TTR and mortality risk. Increased levels of chr1 breakpoints in USC metastatic versus primary tumors co-occur with PLK3 amplification. PLK3 and the TIME are potential targets for improving outcomes in USC adjuvant therapy.

2022-06-01 | GSE205209 | GEO

Gene Expression Profiles in Early Stages Uterine Serous Carcinomas in comparison to G3 and G1 Endometrioid Adenocarcinoma

Project description:The goal of this study was to identify differentially expressed genes (DEG) between uterine serouscarcinoma (USC) vs. early stages high/low grade endometrioid adenocarcinoma (EAC). Gene expression profiles of 33 cancer samples were analyzed (EAC-G1=11, EAC-G3=11, USC-G3=11) using the human genome wide illumina bead microarrays.

2011-03-31 | E-GEOD-24537 | biostudies-arrayexpress

A Novel Orthotopic Mouse Model of Head and Neck Cancer and Lymph Node Metastasis

Project description:Analysis of the genes involved in the metastasis of head and neck squamous cell carcinoma (HNSCC). We hypothesized that there would be overexpression of certain genes in the highly metastatic USC-HN1-GFP-G1 and USC-HN1-GFP-G2 cell lines compared to the parental USC-HN1-GFP cell line. We used the USC-HN1 cell line stably transfected with H2B-GFP and developed an immortal cell line (USC-HN1-GFP), which was injected into the tongues of SCID/nude mice. The metastatic cells were collected at the LN, separated and cultured, forming an immortal USC-HN1-GFP-G1 cell line. These cells were reinjected into the tongues of mice and the USC-HN1-GFP-G2 cell line was formed by the same LN collection method. The gene expression in these three cell lines were compared using Illumina microarray chips.

2012-10-29 | E-GEOD-41893 | biostudies-arrayexpress

Microarray Analysis Reveals Distinct Gene Expression Profiles Among Different Tumor Histology, Stage and Disease Outcomes in Endometrial Adenocarcinoma

Project description:The goal of this study was to identify differentially expressed genes (DEG) between early vs. late stage endometrioid adenocarcinoma (EAC) and uterine serous carcinoma (USC), as well as between disease outcomes in each of the two histological subtypes. Gene expression profiles of 20 cancer samples were analyzed (EAC =10, USC =10) using the human genome wide illumina bead microarrays carrying 48,000 genes.

2010-11-17 | E-GEOD-23518 | biostudies-arrayexpress

Project description:Human Mitochondrial DNA Sequencing from spermatozoa

| PRJNA1107997 | ENA

Project description:Human Mitochondrial DNA Sequencing from spermatozoa

| PRJNA948926 | ENA