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TP53 Gene

The TP53 gene, also known as tumor protein p53, is a critical regulator of cellular processes and plays a key role in tumor suppression.
It encodes a transcription factor that responds to various cellular stresses, such as DNA damage, oncogenic signaling, and hypoxia, by activating target genes that induce cell cycle arrest, apoptosis, or senescence.
Mutations or alterations in the TP53 gene are commonly observed in many types of cancers, making it an important biomarker and therapeutic target.
Undestanding the biology and function of the TP53 gene is crucial for advancing cancer research and developing effective treatment strategies.

Most cited protocols related to «TP53 Gene»

The functional and genetic TP53 status of 966 cell lines was determined using the Cancer Cell Line Encyclopedia (CCLE; see URLs)44 , Genomics of Drug Sensitivity in Cancer (GDSC; see URLs)45 , Cancer Target Discovery and Development (CTD2; see URLs)46 , and The Cancer Genome Atlas (TCGA accessed via cBioPortal; see URLs)47 databases. Cell lines were first separated into two functional classes by considering nutlin-3 sensitivity data from GDSC and CTD2, and a p53 target gene expression signature48 computed using CCLE data. Each cell line was provisionally considered as p53 functional if the functional score (calculated as [Target Genes CCLE Z-score] - [Nutlin-3 CTD2 Z-score] - [Nutlin-3 Sanger Z-score]) was above 0, and provisionally considered as p53 non-functional if this value was below 0. Cell lines in the p53 functional class were declared p53 wild-type (WT) if no TP53 alterations were detected by CCLE, GDSC, or TCGA (n = 252), and discarded as ambiguous if any TP53 alterations were found (n = 104). Cell lines in the p53 non-functional class were declared p53 mutant if any genetic TP53 alteration was found (n = 528) and discarded as ambiguous if no TP53 alterations were found (n = 82). The p53 mutant class was further divided into four subclasses: a loss-of-function (LOF) subclass, comprising cell lines with nonsense mutations, frameshift mutations, or homozygous deletions; a missense subclass; a splice-site subclass; and an in-frame insertion/deletion subclass. Cell lines with multiple TP53 alterations were classified using the following precedence order: missense > in-frame > splice site > LOF. Refer to Supplementary Table 1 for the full classification matrix.
Publication 2018
Cell Lines Frameshift Mutation Gene Deletion Genes Genome Homozygote Hypersensitivity INDEL Mutation Malignant Neoplasms Mutation Mutation, Nonsense nutlin 3 Pharmaceutical Preparations Reading Frames TP53 Gene TP53 protein, human

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Publication 2014
Animals Brain Tumor, Primary CDKN2C protein, human Cerebellum Clinical Protocols Cortex, Cerebral Ethics Committees, Research Europeans Heterografts Institutional Animal Care and Use Committees Malignant Neoplasms Mus Neoplasms Patients Pharmaceutical Preparations pralatrexate PTCH1 protein, human Retroviridae TP53 Gene Transplantation Vertebrates
To build a database linking TFs to their target genes, we started with lists of genes obtained from curated TRED (19 ), TRRD (20 (link)), PAZAR (21 (link)) and NFIregulomeDB databases, and completed some of these factor-gene lists with the regulation type (‘up’ or ‘down’) based on the original publications. SREBP and p53 target gene signatures were based on our previous reports (13 (link),15 (link)) and were completed by data from TRED. The FOXO1, FOXO3, TCF/β-Catenin, GLI, ID, AR, GR, LXR, NOTCH/RBP-J, PPARα, ATF6, HNF, SF1 and STAT transcription factors gene target lists were collected from published papers. On the basis of these data, we built two catalogs: the ‘sign-sensitive’ catalog that takes into account the sign of the regulation (‘up’ or ‘down’) and the ‘sign-less’ catalog that neglects this information (see Figure 1 and Supplementary Data in supplementary file 1 for catalogs and references).

Data integration in TFactS catalogs.

Publication 2010
activating transcription factor 6, human beta-Catenin Genes RBPJ protein, human STAT Transcription Factors TP53 Gene
PT2/C-FLuc, pT/CMV-SV40-LgT, pT/CAGGS-NRASV12 and PGK-SB13 were created as previously described(26 (link)). PT2/C-Luc//PGK-SB13 was created by excising the PGK-SB transposase expression cassette from pPGK-SB13 as a Xmn I/Pme I fragment and ligating into pT2/C-Luc as a Xmn I/Pme I fragment. PKT2/PGK-Bsd:GFP CLP-Luc was a kind gift from Andy Wilbur (University of Minnesota, Minneapolis, MN, USA). PLXIN-EGFRvIII containing the human EGFRvIII cDNA was a kind gift from Dr. Michael J. Ciesielski (Roswell Park Cancer Institute, Buffalo, NY, USA). PT3.5/CMV-EGFRvIII was created by subcloning EGFRvIII from pLXIN-EGFRvIII into litmus 29 (New England Biolabs) as a Spe I fragment, followed by ligation into pT3.5/CMV-GFP as a Xho I/Age I fragment. MSCV-LTRmiR30-SV40 (27 (link)) contained a microRNA short hairpin against Trp53 and a second expression cassette encoding GFP; it was a kind gift from Dr. Scott Lowe (Cold Spring Harbor, NY, USA). The shP53 and GFP expression cassette-containing fragment was released from MSCV-LTRmiR30-SV40 as a Pvu II fragment and ligated into PT2/HB (28 (link)) as an EcoR V fragment to generate pT2/shP53/GFP4. The MSCV-AKT vector was a kind gift from Dr. Scott Lowe. MSCV-AKT was cut with EcoR I/ Nco I to release the AKT cDNA and ligated into Litmus 29, followed by final ligation into pKT2/CLP as a Nco I/Bgl II to generate pKT2/CLP-AKT. Plasmids were purified using a maxiprep kit (Invitrogen) and stored in 0.1X TE buffer (pH 8.0, from a 1X stock solution comprised of 10 mM Tris-Cl and 1mM EDTA).
Publication 2009
Buffaloes Buffers Cloning Vectors Cold Temperature DNA, Complementary Edetic Acid epidermal growth factor receptor VIII Homo sapiens Ligation Malignant Neoplasms MicroRNAs Plasmids Simian virus 40 TP53 Gene Transposase Tromethamine
Terc Atm- and Terc Trp53-deficient mice described previously21 (link),46 (link) were interbred, maintained in pathogen-free facilities and followed for lymphoma development. Resultant TKO lymphomas were harvested from moribund animals and metaphase preparations of primary cultures were used for SKY profiling. DNA and RNA were extracted from the murine TKO tumours as well as from human cancer cell lines and tumours for performing array-CGH and transcriptome profiling, respectively. MCRs of 10 Mb or smaller were defined by described algorithms39 (link),47 (link) for murine lymphomas and each of the 6 different human cancer types. Syntenic overlap was determined based on orthologue mapping of MCR resident genes and statistic significance of the overlap calculated by permutation. Known cancer genes were as defined by the Cancer Gene Census41 (link) (http://www.sanger.ac.uk/genetics/CGP/Census). Gene mutation status was established by denaturing high-performance liquid chromatography as previously published48 (link), and by bidirectional sequencing. All eight array-CGH data sets used in this study are available on the GEO website under the accession number GSE7615.
Publication 2007
Animals Cell Lines Gene, Cancer High-Performance Liquid Chromatographies Homo sapiens Lymphoma Malignant Neoplasms Metaphase Mus Mutation Neoplasms Pathogenicity Synteny telomerase RNA component TP53 Gene

Most recents protocols related to «TP53 Gene»

Example 19

The present inventors confirmed the binding of CIBN and CRY2 in cells expressing CIBN-EGFP-CD9 and p53-mcherry-Cry2 at 488 nm wavelength blue light (FIG. 38), and the loading of PTEN within exosome (FIG. 39)

For the massive production of p53-loaded exosomes, cells stably expressing CIBN-EGFP-CD9 gene and p53-mcherry-CRY2 gene were established, and exosomes were isolated and purified by Tangential Flow Filtration (TFF) method from culture supernatant.

Treatment of p53-loaded exosomes to target cells showed the transcriptional activity (FIG. 40).

Administration of p53-loaded exosomes by i.p. or i.v. to animal model shows therapeutic effect.

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Patent 2024
Animal Model Cells Exosomes Filtration Genes Inventors Light PTEN protein, human Therapeutic Effect TP53 Gene Transcription, Genetic
HEK293T, MIA-PaCa-2, BxPC-3, and PANC-1 cell lines were obtained from the American Type Culture Collection (ATCC). They were cultured in Dulbecco’s modified Eagle’s medium (DMEM) supplemented with 10% fetal bovine serum (#S11150; FBS, Atlanta Biologicals), antibiotics (#P4458; Gibco) and L-glutamine (#17921004; Corning). The murine pancreatic cancer cell line KPC1 was originally described in our recent publication (Parajuli et al., 2018 (link)). The cell line was established from a KP53 mouse, which harbored KrasG12D and one conditional allele of Trp53 (LSL-KrasG12D;LSL-Trp53fl/+;Pdx1-Cre). Freshly isolated specimen from the KP53 mouse with terminal PDAC was gently dissected, minced with scissors, and digested with Dispase II at 2.4 U/ml (#4942078001; Sigma-Aldrich) and Collagenase D at 0.5 mg/ml (#11088858001; Sigma-Aldrich) for 1 h at 37°C in an atmosphere of 5% CO2. Then, cells were washed three times with PBS, suspended in RPMI 1540 containing 20% FCS, and seeded on fibronectin-coated plates. Cell colonies were subsequently passaged by trypsinization, pooled, and propagated in DMEM supplemented with 10% FBS, antibiotics, and L-glutamine. To generate the PANC-1-SMAD4KO and PANC-1-SMAD2/3KO cell lines, cells were transduced with the corresponding lentiCRISPRV2-gRNA lentiviruses, selected with puromycin (for SMAD4) or hygromycin (for SMAD2/3), and all resistant clones were pooled and expanded as a single population. Lentiviruses were produced by transfecting HEK293T cells with lentiviral constructs and the One-Step Lentivirus Packaging System as described by the manufacturer (#631275; Takara). Lentiviral particles in the conditioned media were harvested after a period of 48–72 h. The conditioned media were then cleaned of cell debris by centrifugation at 5,000×g for 15 min, filtered through a 0.45-μm filter, and used immediately for cell transduction.
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Publication 2023
Alleles Anophthalmia with pulmonary hypoplasia Antibiotics Atmosphere Biological Factors Cell Lines Cells Centrifugation Clone Cells Collagenase Culture Media, Conditioned dispase II Eagle Fibronectins Glutamine hygromycin A Lentivirus Mus Pancreatic Cancer PDX1 protein, human Puromycin SMAD2 protein, human SMAD4 protein, human TP53 Gene
Freshly resected or thawed cryopreserved (0.5 g tissue as 3-4 mm pieces/cryotube with 1 ml Recovery Cell Culture Freezing Medium (Gibco, Grand Island, NY, US)) tumors were minced with a scalpel and digested with 2 mg/ml collagenase IV and 100 μg/ml DNAse (both from Sigma-Aldrich, St.Louis, MO, USA) dissolved in advanced DMEM/F12 supplemented with Glutamax, HEPES and Penicilin/Streptomycin (concentrations/producers specified in Supplementary Table S1). The digestion was performed at 37°C on rotation for up to 1 h. Where indicated, additional mechanical dissociation using the gentleMACS dissociator (Miltenyi Biotec, Bergisch Gladbach, Germany) at “m-imp Tumor 03” settings were applied. The dissociated tissue suspension was diluted with phosphate-buffered saline (PBS)/1% bovine serum albumin (BSA) (both Sigma-Aldrich) and centrifuged at 18g for 4 min. The pellet was re-suspended and centrifuged again first at 32g, then at 200g for 4 min. The cell viability was monitored by staining aliquots with 0.2% trypan blue (NanoEntek, Seoul, Korea). Majority of dead cells remained in the supernatants, while the final pellet consists of a mixture of viable single cells and small non-disrupted tissue fragments. The final pellet was re-suspended in breast cancer organoid medium (OM) described by Sachs et al. (12 (link)) (specified in Supplementary Table S1).
Additional steps to remove normal mouse cells included plating re-suspended pellet in 24-well plates treated with anti-adherence Rinsing Solution (Stemcell Technologies, Cambridge, UK) and culturing in OM supplemented with 5 μM of the MDM2 inhibitor Nutlin-3 (Cayman, Ann Arbor, MI, USA), further called OM+. Nutlin-3 induces death in cells with wild-type TP53 i.e. normal cells, while tumor cells with lost/mutated TP53 stay viable (11 (link)). The PDXs used in this study harbor a mutation of the TP53 gene (18 (link), 19 (link)). Therefore, the tumor tissue can be subjected to Nutlin-3 selection for enrichment of cancer cells. Subsequently, the tissue suspension was filtered through a 100 µm cell strainer to collect fragments below this size that were further sedimented for 2-5 min. The resulting fragment-enriched pellet was used for establishment of PDXCs.
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Publication 2023
Breast Carcinoma Caimans Cell Culture Techniques Cell Death Cells Cell Survival Collagenase Deoxyribonucleases Digestion HEPES Malignant Neoplasms MDM2 protein, human Mucolipidosis Type IV Mus Mutation Neoplasms nutlin 3 Organoids Phosphates pralatrexate Saline Solution Serum Albumin, Bovine Stem Cells Streptomycin Tissues TP53 Gene TP53 protein, human Trypan Blue
Whole cell lysates and proteins from tissue were harvested and subjected to western blotting using the following primary antibodies: SNAIL (1:500, #3895, Cell Signaling Technology), E-cadherin (1:2000, #610181, BD Biosciences), HSP90 (1:250, #sc-13119, Santa Cruz Biotechnology), TRP53 (1:1000, #NCL-p53-CM5p, Novocastra/Leica Microsystems), p21CIP1 (1:200, #sc-397, Santa Cruz Biotechnology), β-Actin (1:4000, #A5316, Sigma-Aldrich) and α-Tubulin (1:5000, #T9026, Sigma-Aldrich). The western blot images were collected using the Odyssey infrared imaging system with the Odyssey Software V1.2 (Li-Cor Biosciences).
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Publication 2023
Actins alpha-Tubulin Antibodies CDH1 protein, human CDKN1A protein, human Cells Helix (Snails) HSP90 Heat-Shock Proteins Proteins Tissues TP53 Gene Western Blot

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Publication 2023
Activation Analysis Biological Processes Cells Chromatin Chromatin Immunoprecipitation Sequencing DNA Chips Formaldehyde Genetic Profile Genome Immunoglobulins Lanugo Mus Rabbits TP53 Gene

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More about "TP53 Gene"

The TP53 gene, also known as tumor protein p53 or p53, is a critical regulator of cellular processes and plays a pivotal role in tumor suppression.
This transcription factor is encoded by the TP53 gene and responds to various cellular stresses, such as DNA damage, oncogenic signaling, and hypoxia, by activating target genes that induce cell cycle arrest, apoptosis, or senescence.
Mutations or alterations in the TP53 gene are commonly observed in many types of cancers, making it an important biomarker and therapeutic target.
Understanding the biology and function of the TP53 gene is crucial for advancing cancer research and developing effective treatment strategies.
Researchers utilize various experimental techniques and tools to study the TP53 gene, including cell culture models, animal models (e.g., C57BL/6J mice), and molecular biology techniques (e.g., DNeasy Blood and Tissue Kit, RNeasy Mini Kit, High-Capacity cDNA Reverse Transcription Kit, TRIzol reagent).
PubCompare.ai is an AI-driven platform that empowers reproducible research for the TP53 gene.
It helps researchers locate the best protocols from literature, pre-prints, and patents, enabling them to make informed decisions.
The platform facilitates seamless comparisons and helps researchers find the optimal solutions for their TP53 gene analysis needs.
Researchers can also utilize cell culture media like DMEM, supplemented with growth factors like Fetal Bovine Serum (FBS) and antibiotics like Penicillin/Streptomycin, to maintain and transfect cell lines for TP53 gene studies.
By understanding the key role of the TP53 gene in cellular processes and cancer development, and leveraging the latest tools and technologies, researchers can advance the field of cancer biology and develop more effective therapeutic strategies targeting the TP53 gene.