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Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

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Expression data of NIH3T3 in G0 and G1 phases

ABSTRACT: NIH3T3 in the middle of G0 to G1 transion consists of the cells which is still staying G0 phase and the cells which enters G1. Monitoring the expressions of p27 and Cdt1 enables to distinguish these two; p27+/Cdt1+ cells as the cells in G0 phase and p27-Cdt1+ cells as G1 phase We sorted p27+Cdt1+ (G0) NIH3T3 cells and p27-Cdt1+ (G1) NIH3T3 cells in the middle of G0-G1 transition, 5 hours after serum addition following the serum addition using mVenus-p27K- and mCherry-hCdt1(30/120) . We compared the expression profiles of these NIH3T3 cells in G0 and G1 phases and identified the genes upregulated in G0 or G1 phases. The p27+Cdt1+ (G0) NIH3T3 cells and p27-Cdt1+ (G1) NIH3T3 cells were sorted by FACS for RNA extraction and hybridization on Affymetrix microarrays.

ORGANISM(S): Mus musculus

SUBMITTER: Toshihiko Oki

PROVIDER: E-GEOD-46511 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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A novel cell-cycle-indicator, mVenus-p27K-, identifies quiescent cells and visualizes G0-G1 transition.

Oki Toshihiko T Nishimura Koutarou K Kitaura Jiro J Togami Katsuhiro K Maehara Akie A Izawa Kumi K Sakaue-Sawano Asako A Niida Atsushi A Miyano Satoru S Aburatani Hiroyuki H Kiyonari Hiroshi H Miyawaki Atsushi A Kitamura Toshio T

Scientific reports 20140206

The quiescent (G0) phase of the cell cycle is the reversible phase from which the cells exit from the cell cycle. Due to the difficulty of defining the G0 phase, quiescent cells have not been well characterized. In this study, a fusion protein consisting of mVenus and a defective mutant of CDK inhibitor, p27 (p27K(-)) was shown to be able to identify and isolate a population of quiescent cells and to effectively visualize the G0 to G1 transition. By comparing the expression profiles of the G0 an ...[more]

PMID: 24500246

Similar Datasets

Expression data of NIH3T3 in G0 and G1 phases

Project description:NIH3T3 in the middle of G0 to G1 transion consists of the cells which is still staying G0 phase and the cells which enters G1. Monitoring the expressions of p27 and Cdt1 enables to distinguish these two; p27+/Cdt1+ cells as the cells in G0 phase and p27-Cdt1+ cells as G1 phase We sorted p27+Cdt1+ (G0) NIH3T3 cells and p27-Cdt1+ (G1) NIH3T3 cells in the middle of G0-G1 transition, 5 hours after serum addition following the serum addition using mVenus-p27K- and mCherry-hCdt1(30/120) . We compared the expression profiles of these NIH3T3 cells in G0 and G1 phases and identified the genes upregulated in G0 or G1 phases.

2014-02-21 | GSE46511 | GEO

Quantification of membrane protein expression in G0 and G1 cell cycle phase samples in PC3 prostate cancer cells

Project description:Prostate cancer (PCa) has a significant ability to disseminate and survive in the bone marrow (BM). Once there, disseminated tumor cells (DTCs) may lie dormant for years, but often eventually reactivate proliferative pathways, thus largely contributing to bone metastasis, disease progression, and relapse. Unfortunately, quiescent PCa cells are difficult to identify and target with treatment, in part because formerly identified relevant markers are intracellular and regulated by protein stability. We sought to address this problem by identifying a G0 marker that is expressed on the cell surface and therefore amenable to antibody binding for identification and therapeutic targeting. In doing so, we utilized stably transduced fluorescent markers for CDKN1B (p27) and CDT1 protein levels, which separate viable PCa cells into G0, G1, or combined S/G2/M populations (as described in PMID 34957090). We then performed FACS to collect G1 and G0 PC3 PCa cells, isolated membrane proteins, and subsequently used GC-MS proteomics to determine differences in protein abundance between G0 and G1. In total, 3,791 proteins were identified.

2023-03-03 | PXD037378 | Pride

p27 binds to promoters of multiple genes leading to their repression

Project description:The role of the cyclin-cdk inhibitor p27 in tumorigenesis is still a controversial matter. We demonstrate here that p27 negatively regulates transcription of a number of genes (p27-target genes) involved in key cellular functions as RNA processing, translation, respiration and cell proliferation. Crosslinked chromatin from quiescent NIH3T3 cells was sonicated, incubated overnight with the rabbit anti-p27 and IgG antibodies as control

2011-12-01 | E-GEOD-20068 | biostudies-arrayexpress

Transcription profiling of mouse NIH3T3 cell line cultured with and withput FGF and treated with the MEK Inhibitor U0126 at 3 time points before FGF addition reveals ERK-dependent downregulated genes have the ability to block S phase entry

Project description:The ERK family of MAP kinase plays a critical role in growth factor-stimulated cell cycle progression from G0/G1 to S phase. But, how sustained activation of ERK promotes G1 progression has remained unclear. Here, our systematic analysis on the temporal program of ERK-dependent gene expression shows that sustained activation of ERK is required for induction and maintenance of the decreased expression levels of a set of genes. Moreover, our cell biological analysis reveals that these ERK-dependent downregulated genes have the ability to block S phase entry. Cessation of ERK activation at mid or late G1 leads to a rapid increase of these anti-proliferative genes and results in the inhibition of S phase entry. These findings uncover an important mechanism by which the duration of ERK activation regulates cell cycle progression through dynamic changes in gene expression, and identify novel ERK target genes crucial for the regulation of cell cycle progression.

2007-11-24 | E-GEOD-4739 | biostudies-arrayexpress

LncRNA LIMp27 regulates the DNA damage response through p27 in p53-defective cancer cells

Project description:P53 inactivation occurs in about 50% of human cancers, where p53-driven p21 activity is devoid and p27 becomes essential for the establishment of the G1/S checkpoint upon DNA damage. Here, we show that the E2F1-responsive lncRNA LIMp27 selectively represses p27 expression and contributes to proliferation, tumorigenicity, and treatment resistance in p53-defective colon adenocarcinoma (COAD) cells. LIMp27 competes with p27 mRNA for binding to cytoplasmically localized hnRNA0, which otherwise stabilizes p27 mRNA leading to cell cycle arrest at the G0/G1 phase. In response to DNA damage, LIMp27 is upregulated in both wild-type and p53-mutant COAD cells, whereas cytoplasmic hnRNPA0 is only increased in p53-mutant COAD cells due to translocation from the nucleus. Moreover, high LIMp27 expression is associated with poor survival of p53-mutant but not wild-type p53 COAD patients. These results uncover a lncRNA mechanism that promotes p53-defective cancer pathogenesis and suggest that LIMp27 may constitute a target for the treatment of such cancers.

| MSV000090292 | MassIVE

LncRNA LIMp27 regulates the DNA damage response through p27 in p53-defective cancer cells

Project description:P53 inactivation occurs in about 50% human cancers, where p53-driven p21 activity is devoid and p27 becomes essential for the establishment of the G1/S checkpoint upon DNA damage. Here, we show that the E2F1-responsive lncRNA LIMp27 selectively represses p27 expression and contributes to proliferation, tumorigenicity, and treatment resistance in p53-defective colon adenocarcinoma (COAD) cells. LIMp27 competes with p27 mRNA for binding to cytoplasm-localized hnRNA0, which otherwise stabilizes p27 mRNA leading to cell cycle arrest at G0/G1 phase. In response to DNA-damage, LIMp27 is upregulated in both wild-type and p53-muant COAD cells, whereas cytoplasmic hnRNPA0 is only increased due to translocation from the nucleus in p53-mutant COAD cells. High LIMp27 expression is associated with poor survival of p53-mutant but not wide-type p53 COAD patients. These results uncover a lncRNA mechanism that promotes p53-defective cancer pathogenesis and suggest that LIMp27 may constitute a target for the treatment of such cancers.

2022-12-31 | GSE208711 | GEO

Mus musculus

Project description:Expression data of NIH3T3 in G0 and G1 phases

| PRJNA200707 | ENA

Nutrient-dependent growth of NIH3T3 and NIH3T3 K-ras cell lines.

Project description:Expression profiling of normal NIH3T3 and transformed NIH3T3 K-ras cell lines grown for 72 hours in optimal glucose availability (25 mM glucose) or low glucose availability (1 mM). Low glucose induces apoptosis in transformed cells as compared to normal ones. We performed genome-wide analysis by using Affymetrix GeneChip oligonucleotide microarrays to identify those genes whose expression levels are modulated by glucose availability in NIH3T3 and NIH3T3 K-ras cell lines. The cells, to be used for the transcription analysis, were collected at 18h from the initial seeding, time corresponding to the change of medium (25 or 1 mM glucose, indicated as T0) and then at 24, 48 and 72h upon medium change.

2011-07-13 | E-GEOD-29962 | biostudies-arrayexpress

Temporal transcriptional profiling of polyamine-depleted NIH3T3 cells

Project description:Polyamines are absolutely required for cell growth and proliferation. While polyamine depletion results in reversible cell cycle arrest, the actual mechanism of growth inhibition is still obscure. This work aimed at determining the cellular processes affected by reduction in the intracellular polyamine levels In order to reveal the general transcriptional responses to polyamine depletion in mammalian cells, NIH3T3 mouse fibroblasts were treated with 1mM L-Difluoromethylornithine (DFMO), G1 cellular fractions were collected by sorting at 0,12, 24, 48 and 96 hours upon addition of the reagent, total RNA was extracted, reverse-transcribed, fragmented, labeled and hybridized to Affymetrix MoGene 1.0 ST DNA array.

2012-09-11 | E-GEOD-36445 | biostudies-arrayexpress

Transcription profiling of forskolin-synchronized NIH3T3 cells to detect rhythmic transcripts

Project description:High-temporal resolution profiling was performed on NIH3T3 fibroblasts to detect rhythmic transcripts Experiment Overall Design: Samples were collected every hour for 48 hours from forskolin-synchronized NIH3T3 cells. Samples were analyzed using Affymetrix arrays.

2008-10-26 | E-GEOD-11922 | biostudies-arrayexpress

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