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Myc Gene

The Myc gene is a critical regulator of cell growth, proliferation, and differentiation.
It plays a pivotal role in various biological processes, including cell cycle control, apoptosis, and metabolism.
Dysregulation of the Myc gene has been implicated in the development and progression of numerous cancers, making it a key target for research and therapeutic interventions.
Expereince the power of PubCompare.ai, an AI-driven platform that optimizes Myc gene research by locating protocols from literature, pre-prints, and patents, and leveraging AI-driven comparisons to identify the best protocols and products.
This innovative tool enhances reproducibility and accuracy in your Myc gene studies, shaping the future of research today.

Most cited protocols related to «Myc Gene»

DNA extracted from cancer specimens and normal tissue was labeled and hybridized to the Affymetrix 250K Sty I array to obtain signal intensities and genotype calls. Signal intensities were normalized against data from 1480 normal samples. Copy-number profiles were inferred using GLAD48 (link) and changes of > 0.1 copies in either direction were called SCNAs. The significance of focal SCNAs (covering < 0.5 chromosome arms) was determined using GISTIC18 (link), with modifications to score SCNAs directly proportional to amplitude and to allow summation of non-overlapping deletions affecting the same gene. Peak region boundaries were determined so that the change in the GISTIC score from peak to boundary had < 5% likelihood of occurring by random fluctuation. P-values for Figures 2b and 4 were determined by comparing the gene densities of SCNAs and fraction overlap of peak regions respectively to the same quantities calculated from random permutations of the locations of these SCNAs and peak regions. RNAi was performed by inducible and stable expression of shRNA lentiviral vectors and by siRNA transfection. Proliferation in inducible shRNA experiments was measured in triplicate every half-hour on 96-well plates by a real time electric sensing system (ACEA Bioscience) and in stable shRNA expression and siRNA transfection experiments by CellTiterGlo (Promega). Apoptosis was measured by immunoblot against cleaved PARP and FACS analysis of cells stained with antibody to annexin V and propidium iodide. Tumor growth in nude mice was measured by caliper twice weekly. Expression of MYC, MCL1, and BCL2L1 was performed with retroviral vectors in lung epithelial cells immortalized by introduction of SV40 and hTERT49 (link).
Full methods are described in Supplementary Methods.
Publication 2010
Annexin A5 Apoptosis Arm, Upper bcl-X Protein Cells Chromosomes Cloning Vectors Electricity Epithelial Cells Gene Deletion Genes Genotype Immunoblotting Immunoglobulins Lung Malignant Neoplasms MCL1 protein, human Mice, Nude Neoplasms Promega Propidium Iodide Retroviridae RNA, Small Interfering RNA Interference Short Hairpin RNA Simian virus 40 Tissues Transfection
DNA extracted from cancer specimens and normal tissue was labeled and hybridized to the Affymetrix 250K Sty I array to obtain signal intensities and genotype calls. Signal intensities were normalized against data from 1480 normal samples. Copy-number profiles were inferred using GLAD48 (link) and changes of > 0.1 copies in either direction were called SCNAs. The significance of focal SCNAs (covering < 0.5 chromosome arms) was determined using GISTIC18 (link), with modifications to score SCNAs directly proportional to amplitude and to allow summation of non-overlapping deletions affecting the same gene. Peak region boundaries were determined so that the change in the GISTIC score from peak to boundary had < 5% likelihood of occurring by random fluctuation. P-values for Figures 2b and 4 were determined by comparing the gene densities of SCNAs and fraction overlap of peak regions respectively to the same quantities calculated from random permutations of the locations of these SCNAs and peak regions. RNAi was performed by inducible and stable expression of shRNA lentiviral vectors and by siRNA transfection. Proliferation in inducible shRNA experiments was measured in triplicate every half-hour on 96-well plates by a real time electric sensing system (ACEA Bioscience) and in stable shRNA expression and siRNA transfection experiments by CellTiterGlo (Promega). Apoptosis was measured by immunoblot against cleaved PARP and FACS analysis of cells stained with antibody to annexin V and propidium iodide. Tumor growth in nude mice was measured by caliper twice weekly. Expression of MYC, MCL1, and BCL2L1 was performed with retroviral vectors in lung epithelial cells immortalized by introduction of SV40 and hTERT49 (link).
Full methods are described in Supplementary Methods.
Publication 2010
Annexin A5 Apoptosis Arm, Upper bcl-X Protein Cells Chromosomes Cloning Vectors Electricity Epithelial Cells Gene Deletion Genes Genotype Immunoblotting Immunoglobulins Lung Malignant Neoplasms MCL1 protein, human Mice, Nude Neoplasms Promega Propidium Iodide Retroviridae RNA, Small Interfering RNA Interference Short Hairpin RNA Simian virus 40 Tissues Transfection
Adherent HAP1 cells were generated by the introduction of OCT4/SOX2/c-Myc and KLF4 transcription factors. 100 million cells were mutagenized using a retroviral gene-trap vector. Insertion sites were mapped for approximately 1% of the unselected population using parallel sequencing. Cells were infected with rVSV-GP-EboV and the resistant cell population was expanded. Genes that were statistically enriched for mutation events in the selected population were identified, and the roles of selected genes in filovirus entry were characterized.
Publication 2011
Cells Cloning Vectors Filoviridae Genes KLF4 protein, human Mutation POU5F1 protein, human Retroviridae SOX2 Transcription Factor Transcription Factor
Adherent HAP1 cells were generated by the introduction of OCT4/SOX2/c-Myc and KLF4 transcription factors. 100 million cells were mutagenized using a retroviral gene-trap vector. Insertion sites were mapped for approximately 1% of the unselected population using parallel sequencing. Cells were infected with rVSV-GP-EboV and the resistant cell population was expanded. Genes that were statistically enriched for mutation events in the selected population were identified, and the roles of selected genes in filovirus entry were characterized.
Publication 2011
Cells Cloning Vectors Filoviridae Genes KLF4 protein, human Mutation POU5F1 protein, human Retroviridae SOX2 Transcription Factor Transcription Factor

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Publication 2018
Genes Oncogenes Phosphatidylinositol 3-Kinases Transforming Growth Factor beta Tumor Suppressor Genes

Most recents protocols related to «Myc Gene»

The positional information of the MYC transcription factor family members was extracted from the annotation files of the walnuts, and the positions of the walnut MYC transcription factor family members on the chromosomes were mapped using the online software MG2C_v2.1 (http://mg2c.iask.in/mg2c_v2.1/). Genome-wide replication events were obtained using the One Step MCScanX tool in TBtools software (Chen et al., 2020 (link)), and the gene duplication relationships of JrMYCs were determined.
Publication 2024
The genome sequence data and the annotation information of tree peony (P. ostii ‘Fengdan’) were obtained from the China National Gene Bank database (https://ftp.cngb.org/pub/CNSA/data5/CNP0003098/CNS0560369/CNA0050666/, accessed on 12 September 2023) [21 (link)]. The MYC protein of tree peony was identified with both the bHLH domain and the specific MYC domains. The candidate protein sequences were subjected to the online domain analysis program NCBI-CDD 1.0 (https://www.ncbi.nlm.nih.gov/cdd/, accessed on 12 September 2023) and SMART 8.0 (http://smart.emblheidelberg.de/, accessed on 12 September 2023) to confirm the conserved domains. The MYC protein of A. thaliana (At) and O. sativa (Os) were downloaded from TAIR (http://www.arabidopsis.org/, accessed on 12 September 2023) and TIGR (http://www.tigr.org/, accessed on 12 September 2023). The physical and chemical characteristics of the MYC proteins were analyzed using online software Expasy 3.0 (http://web.expasy.org/protparam/, accessed on 12 September 2023). The neighbor-joining phylogenetic tree of protein from different species was constructed with 1000 bootstrap replicates using MEGA 8.0 software.
Publication 2024
Utilizing the online tool ExPASy (https://web.expasy.org/protparam/) [25] , we analyzed the amino acid count, molecular weight, isoelectric point, instability coe cient, aliphatic index, and average hydrophobicity of the members of the MYC gene family. We used the online website CELLO (http://cello.life.nctu.edu.tw/) for subcellular localization prediction. We employed the online software MEME (http://meme-suite.org/) to analyze the conserved motifs of MYC family proteins, with the parameters set as follows: 10 motifs, optimal motif width range from 6 to 200. The multiple sequence alignment was performed using the ClustalX 2.0 and visualized by Jalview [26] . Phylogenetic analysis was performed using MEGA7 [27] with the neighbor-joining (NJ) method, and the parameters were set as the Poisson model, pairwise deletion, and 1000 bootstrap replications [28] .
Publication 2024
The whole-genome sequence of walnut (PRJNA291087) was downloaded from NCBI (https://www.ncbi.nlm.nih.gov/bioproject/291087). Hidden Markov models of MYC proteins (PF14215 and PF00010) were downloaded from the Pfam (http://pfam.xfam.org) database, and all MYC protein sequences in the annotated protein files of walnut were compared using TBtools V2.069 software. After that, the protein sequence of each MYC gene in walnut was determined based on the protein database accession number, and to ensure the accuracy of the conserved structural domains of the screened walnut MYC genes, Candidate protein sequences were subjected to structure prediction using the online software NCBI-CDD (https://www.ncbi.nlm.nih.gov/cdd/) and SMART (http://smart.emblheidelberg.de/), removing sequences that did not contain the bHLH and bHLH_ MYC_N structural domains, non-full-length and repetitive sequences to identify the MYC transcription factors of walnut.
Publication 2024
Amino acid sequences of eight members of the MYC gene family were obtained from the Arabidopsis thaliana (https://www.arabidopsis.org/) database; amino acid sequences from the Mauve poplar genome database V4.1 were downloaded using the online website Phytozome (https://phytozome-next.jgi.doe.gov/) sequences, downloaded the Hidden Markov Models of MYC proteins (PF14215 and PF00010) using the Pfam (http://pfam.xfam.org) database, and obtained the amino acid sequences of the poplar MYC transcription factor family by comparing the sequences of all MYC proteins in the poplar annotated protein files using TBtools V2.069; the software Clustal W was used to compare the walnut with Arabidopsis and poplar MYC transcription factors of walnut and Arabidopsis thaliana and poplar using the software Clustal W. Multiple sequence comparison was performed; the protein sequences of the MYC transcription factor families of the three species were calculated using MEGA 7.0 software, and the phylogenetic tree was constructed using the neighbor-joining (NJ) method, with the following execution parameters: BootStrap method 1000; Poisson model; pairwise deletion.
Publication 2024

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More about "Myc Gene"

The Myc gene is a crucial regulator of cellular growth, proliferation, and differentiation, playing a pivotal role in various biological processes, including cell cycle control, apoptosis, and metabolism.
Dysregulation of the Myc gene has been implicated in the development and progression of numerous cancers, making it a key target for research and therapeutic interventions.
PubCompare.ai is an innovative, AI-driven platform that optimizes Myc gene research by locating protocols from literature, pre-prints, and patents, and leveraging AI-driven comparisons to identify the best protocols and products.
This tool enhances reproducibility and accuracy in Myc gene studies, shaping the future of research.
To conduct Myc gene research, researchers often utilize various tools and reagents, such as TRIzol reagent for RNA extraction, Lipofectamine 2000 and Lipofectamine 3000 for transfection, RNeasy Mini Kit and RNeasy kit for RNA purification, High-Capacity cDNA Reverse Transcription Kit for cDNA synthesis, Dual-Luciferase Reporter Assay System for reporter gene analysis, and TaqMan Gene Expression Assays for gene expression analysis.
Additionally, fetal bovine serum (FBS) is commonly used to supplement cell culture media.
By leveraging the power of PubCompare.ai and utilizing these research tools and reagents, scientists can enhance the reproducibility, accuracy, and efficiency of their Myc gene studies, ultimately contributing to a better understanding of this critical gene and its role in various biological processes and disease states.
Experience the future of research today with PubCompare.ai.