Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

MGA-seq is an efficient tool for genetic variants and extrachromosomal DNA detection in cancer cell

ABSTRACT: This SuperSeries is composed of the SubSeries listed below.

ORGANISM(S): Homo sapiens

PROVIDER: GSE205293 | GEO | 2023/09/14

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

MGA-seq is an efficient tool for genetic variants and extrachromosomal DNA detection in cancer cell [MGA-Seq]

Project description:We developed MGA-seq for detecting both chromatin spatial contacts and WGS information at the same time in clinical samples, then we combine the two kind of information to detecte small variation, large structural variation, homogenously staining regions, and extrachromosomal DNA.

2023-09-14 | GSE205286 | GEO

MGA-seq is an efficient tool for genetic variants and extrachromosomal DNA detection in cancer cell [Nanopore]

2023-09-14 | GSE205289 | GEO

MGA-seq is an efficient tool for genetic variants and extrachromosomal DNA detection in cancer cell [WGS]

2023-09-14 | GSE205288 | GEO

MGA-seq is an efficient tool for genetic variants and extrachromosomal DNA detection in cancer cell [RNA-Seq]

2023-09-14 | GSE205281 | GEO

MGA-seq is an efficient tool for genetic variants and extrachromosomal DNA detection in cancer cell [MGA-Seq]

Project description:MGA-seq is an efficient tool for genetic variants and extrachromosomal DNA detection in cancer cell [MGA-Seq]

| PRJNA844315 | ENA

MGA-seq is an efficient tool for genetic variants and extrachromosomal DNA detection in cancer cell

Project description:MGA-seq is an efficient tool for genetic variants and extrachromosomal DNA detection in cancer cell

| PRJNA844323 | ENA

MGA-seq is an efficient tool for genetic variants and extrachromosomal DNA detection in cancer cell [WGS]

Project description:MGA-seq is an efficient tool for genetic variants and extrachromosomal DNA detection in cancer cell [WGS]

| PRJNA844338 | ENA

MGA-seq is an efficient tool for genetic variants and extrachromosomal DNA detection in cancer cell [Nanopore]

Project description:MGA-seq is an efficient tool for genetic variants and extrachromosomal DNA detection in cancer cell [Nanopore]

| PRJNA844337 | ENA

MGA-seq is an efficient tool for genetic variants and extrachromosomal DNA detection in cancer cell [RNA-Seq]

Project description:MGA-seq is an efficient tool for genetic variants and extrachromosomal DNA detection in cancer cell [RNA-Seq]

| PRJNA844316 | ENA

Live-Cell Imaging Shows Uneven Segregation of Extrachromosomal DNA Elements and Transcriptionally Active Extrachromosomal DNA Hubs in Cancer.

Project description:Oncogenic extrachromosomal DNA elements (ecDNA) play an important role in tumor evolution, but our understanding of ecDNA biology is limited. We determined the distribution of single-cell ecDNA copy number across patient tissues and cell line models and observed how cell-to-cell ecDNA frequency varies greatly. The exceptional intratumoral heterogeneity of ecDNA suggested ecDNA-specific replication and propagation mechanisms. To evaluate the transfer of ecDNA genetic material from parental to offspring cells during mitosis, we established the CRISPR-based ecTag method. ecTag leverages ecDNA-specific breakpoint sequences to tag ecDNA with fluorescent markers in living cells. Applying ecTag during mitosis revealed disjointed ecDNA inheritance patterns, enabling rapid ecDNA accumulation in individual cells. After mitosis, ecDNAs clustered into ecDNA hubs, and ecDNA hubs colocalized with RNA polymerase II, promoting transcription of cargo oncogenes. Our observations provide direct evidence for uneven segregation of ecDNA and shed new light on mechanisms through which ecDNAs contribute to oncogenesis. SIGNIFICANCE: ecDNAs are vehicles for oncogene amplification. The circular nature of ecDNA affords unique properties, such as mobility and ecDNA-specific replication and segregation behavior. We uncovered fundamental ecDNA properties by tracking ecDNAs in live cells, highlighting uneven and random segregation and ecDNA hubs that drive cargo gene transcription.See related commentary by Henssen, p. 293.This article is highlighted in the In This Issue feature, p. 275.

| S-EPMC8831456 | biostudies-literature

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