Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Poly-A transcriptome changes in mouse embryonic fibroblasts (MEFs) after spontaneous immortalization

ABSTRACT: In our study, we characterized the changes in poly-A gene expression atributed to the process of spontaneous immortalization using a mouse embryonic fibroblasts (MEF) model. Primary MEFs were established, serially passaged and spontaneously immortalized using a modified 3T3 NIH protocol. We then performed gene expression profiling analysis using RNA-seq data of 3 different clones at two time points (primary and immortalized).

ORGANISM(S): Mus musculus

PROVIDER: GSE266445 | GEO | 2024/08/27

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Longitudinal DNA methylation in serially passaged primary and modified human astrocytes

Project description:This DNA methylation dataset describes epigenomic changes in in vitro serially passaged primary and immortalized astrocytes, in the context of studies examining cellular aging patterns that are conserved in vivo and in vitro. Primary and fetal hTERT-immortalized astrocytes were grown under normoxic conditions and serially passaged. Longitudinal DNA samples were collected throughout passaging and DNA methylation was measured using the Infinium HumanMethylation850 BeadChip.

2023-07-21 | GSE226079 | GEO

MDAH-041 Spontaneous Immortalization

Project description:Gene expression at various stages of immortalization

2016-05-12 | GSE46931 | GEO

Mammalian cells acquire epigenetic hallmarks of human cancer during immortalization

Project description:Progression to malignancy requires cells to overcome senescence and switch to an immortal phenotype. Thus, exploring the genetic and epigenetic changes that occur during senescence/immortalization may help elucidate crucial events that lead to cell transformation. In the present study, we have globally profiled DNA methylation in relation to gene expression in primary, senescent and immortalized mouse embryonic fibroblasts. Primary, senescent and immortalized mouse fibroblasts obtained from three independent embryos. Compare immortalized versus primary and senescent versus primary cells.

2012-11-29 | E-GEOD-39034 | biostudies-arrayexpress

Mammalian cells acquire epigenetic hallmarks of human cancer during immortalization

2012-11-29 | GSE39034 | GEO

Transcription profiling of mouse embryonic fibroblasts (MEFs) trisomic for chromosomes 1, 13, 16 and 19

Project description:Aneuploidy, an incorrect chromosome number, is the leading cause of miscarriages and mental retardation in humans and is a hallmark of cancer. We examined the effects of aneuploidy on primary mouse cells by generating a series of cell lines that carry an extra copy of one of four mouse chromosomes. In all four trisomic lines proliferation was impaired and metabolic properties were altered. Immortalization, the acquisition of the ability to proliferate indefinitely, was also affected by the presence of an additional chromosome, with some chromosomes inhibiting immortalization while others accelerating the process. Our data indicate that aneuploidy decreases not only organismal but also cellular fitness and elicits traits that are shared between different aneuploid cells. Experiment Overall Design: The mRNAs from 9 different mouse embryo fibroblast (MEF) lines with a normal complement of chromosomes were compared to mRNAs from 1 MEF line with three copies of chromosome 1, 4 MEF lines with three copies of chrmosome 13, 3 MEF lines with three copies of chromosome 16 and 1 MEF line with three copies of chromosome 19.

2008-11-15 | E-GEOD-12501 | biostudies-arrayexpress

Viral integration promotes SV40T-induced immortalization by disturbing the expression of DNA/chromosome- and ECM-associated functional genes

Project description:Lentivirus containing simian virus 40 large T antigen (SV40T) is routinely used to induce cell immortalization. However, the roles of viral integration itself in this progress is still controversial. Here, we transformed primary mouse embryonic fibroblasts (MEFs) with SV40T lentivirus and studied the roles of viral integration in the immortalization using RNA-seq and whole genome sequencing (WGS). During the immortalization, differentially expressed genes (DGEs) are enriched in viral infection and several diverse activities. However, DEGs between immortalized and aging cells are significantly enriched in DNA/chromosome- and extracellular matrix (ECM)-associated activities. Gene regulatory network (GRN) analysis shows that although p53 is a key regulatory factor, many other transcription factors also play critical roles in the process, like STAT1. Of these DEGs, 32 genes have viral integration in their coding and/or regulatory regions. Our findings suggest that viral integration may promote SV40T-mediated immortalization by disturbing the expression of DNA/chromosome- and ECM-associated genes.

2024-03-10 | GSE247743 | GEO

Immortalization capacity of HPV types is inversely related to chromosomal instability in immortal descendants.

Project description:Human papillomavirus (HPV) induced immortalization of human foreskin keratinocytes (HFK) is a two-step process, including 1) the bypass of replicative senescence and acquisition of an extended lifespan, and 2) the outgrowth of immortal cells. Our previous study showed that the immortalization capacity of HPV is type dependent, as reflected by the presence or absence of a crisis period before reaching immortality. In the present study we determined how the HPV-type specific immortalization capacity relates to DNA damage induction and overall genomic instability. Early passage HFKs transduced with HPV types 16, 18, 31, 33, 35, 45, 51, 59, 66 and 70 showed an increased number of double strand DNA breaks compared to controls, without significant differences between the various HPV-types. However, immortal descendants of HPV-transduced HFKs that underwent a crisis period (HPV45-, 51-, 59-, 66- and 70-transduced HFKs) showed significantly more chromosomal aberrations compared to those without a crisis period (HPV16-, 18-, 31-, and 35-transduced HFKs) (p<0.01). In particular, regions on chromosome 5p, 8, and 9q were significantly more frequently altered in cells with crisis. Interestingly, the hTERT locus at 5p was exclusively gained in cell lines with crisis. Chromothripsis was detected in one of the HPV16-immortalized cell lines in which multiple rearrangements within chromosome 8 resulted in a gain of c-MYC. In conclusion, the present study shows that upon HPV-induced immortalization, the number of chromosomal aberrations is inversely related to the immortalization capacity of the virus type. This suggests that hrHPV types with reduced immortalization capacity in vitro, as reflected by a crisis period, require more genetic host cell aberrations to trigger immortalization.

2016-08-01 | GSE72063 | GEO

Immortalization capacity of HPV types is inversely related to chromosomal instability in immortal descendants.

2016-08-01 | E-GEOD-72063 | biostudies-arrayexpress

Biology of Renal Carcinoma using a Mouse RCC model

Project description:The mouse renal cancer cell line RENCA was serially passaged in vivo using multiple implantation strategies (called Kidney, Tail and Lung) designed to replicate different aspects of primary tumour growth and metastasis. We have acquired methylomic data.

2021-10-27 | GSE139338 | GEO

Discovery of progenitor signatures by time series synexpression analysis during Drosophila cell immortalization [RNA-Seq]

Project description:To characterize the sequence of events associated with RasV12 immortalization of Drosophila embryonic cells, we generated transcriptional time series during cell line establishment, from primary cultures until passage (P) 19.

2015-09-24 | GSE73353 | 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