The Integrated Neuroendocrine Prostate Cancer (NEPC) score estimates the likelihood of a test sample to be CRPC-NE. It is calculated as the Pearson's correlation coefficient between the test vector and a reference CRPC-NE vector based on a set of 70 genes (Supplementary Table 9, Supplementary Fig. 10 and 15 ) using normalized FPKM values of the test sample. The gene set stems from the integration of differentially deleted/amplified and/or expressed and/or methylated genes in CRPC-NE and CRPC-Adeno. Specifically, 16 differentially deleted genes were selected among putative cancer genes31 (link) (see Differential copy number analysis ). The following strategy was used to identify both differentially expressed genes that better distinguish CRPC-NE and CRPC-Adeno samples. We selected differentially expressed protein coding genes with FDR ≤ 1e-2, resulting in a total of 2425 genes, corresponding to 1301 over- and 1124 under-expressed. For each gene, we performed a Receiver Operator Curve (ROC) analysis using the normalized FPKMs as threshold parameter and calculated the Area Under the Curve (AUC). ROCs were built by considering only samples sequenced excluding two samples (7520 and 4240) that were previously published9 (link).leaving 34 CRPC-Adeno and 13 CRPC-NE. Only those differentially expressed genes with AUC ≥ 0.95 and with a fold-change greater than 2 or lower than 0.5 were included in the classifier, resulting in a list of 49 genes (25 over- and 24 under- expressed in CRPC-NE vs. CRPC-Adeno), 21 of which found as differentially methylated between CRPC-NE and CRPC-Adeno. Concordant information between RNA and Methylation was found for 11 genes (see Supplementary Table 9 ). In addition, we considered 2 genes (MYCN and AURKA) that we previously described as associated with CRPC-NE phenotype9 (link), EZH2 (FDR = 7.9*10−4) and DNMT1 (FDR = 6.9*10−5) for their role in controlling DNA methylation70 (link) and RB1 (FDR = 0.056), reported as a key driver in the pathogenesis of CRPC-NE9 (link),45 (link). For each of the resulting 70 genes, we calculated the mean of the normalized FPKM across the 13 CRPC-NE samples with RNA-seq data and defined the resulting set of averages as reference CRPC-NE vector. The Integrated NEPC score was tested across 719 prostate samples with available transcriptome data from multiple datasets (Supplementary Table 10 ) . RNA-seq data were processed as described above. Processed SU2C-PCF26 (link) and Grasso et al21 (link) (Michigan 2012) data were downloaded from cBioPortal71 (link). Since data for 4 genes (ARHGAP8, BRINP1, C7Orf76 and MAP10) were not available from cBioPortal, for Michigan 2012 we used a reduced version of Integrated NEPC Score (indicated as Integrated NEPC Score*). Samples with Integrated NEPC Score greater than or equal to 0.40 (elevated Integrated NEPC score in main text) were nominated as putative CRPC-NE (Figure 4c , Supplementary Table 14 ). In order to take into account the lower signal-to-noise ratio and the reduced version of Integrated NEPC Score in Michigan 2012 microarray data, in Figure 4d we consider as CRPC-NE – like those samples with Integrated NEPC Score ≥ 0.25 (significant Integrated NEPC score in Figure 4 legend). AR signaling and Integrated NEPC Score values per sample are reported in Supplementary Table 15 .
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MYCN protein, human
MYCN protein, human
The MYCN protein is a transcription factor that plays a crucial role in regulating cell growth, differentiation, and apoptosis.
It is often overexpressed in a variety of cancers, particularly neuroblastoma, and is associated with more aggressive disease and poorer patient outcomes.
Understanding the function and regulation of MYCN is an important area of research for developing new therapies and improving cancer treatment.
This MeSH term provides a concise overview of the MYCN protein and its biological significance.
It is often overexpressed in a variety of cancers, particularly neuroblastoma, and is associated with more aggressive disease and poorer patient outcomes.
Understanding the function and regulation of MYCN is an important area of research for developing new therapies and improving cancer treatment.
This MeSH term provides a concise overview of the MYCN protein and its biological significance.
Most cited protocols related to «MYCN protein, human»
Aurora Kinase A
Cloning Vectors
DNMT1 protein, human
EZH2 protein, human
Gene Products, Protein
Genes
Malignant Neoplasms
Methylation
Microarray Analysis
MYCN protein, human
Neurosecretory Systems
pathogenesis
Prostate
Prostate Cancer
RNA-Seq
Stem, Plant
Transcriptome
This project comprised tumor samples of 498 neuroblastoma patients from seven countries: Belgium (n = 1), Germany (n = 420), Israel (n = 11), Italy (n = 5), Spain (n = 14), United Kingdom (n = 5), and United States (n = 42). All patients were registered in respective clinical trials with informed consent. The patients’ age at diagnosis varied from 0 to 295.5 months (median age, 14.6 months). Tumor stage was classified according to the International Neuroblastoma Staging System (INSS): stage 1 (n = 121; MYCN-amplified (MNA), n = 3), stage 2 (n = 78; MNA, n = 5), stage 3 (n = 63; MNA, n = 15), stage 4 (n = 183; MNA, n = 65), stage 4S (n = 53; MNA, n = 4). Events were defined according to a revised version of the International Neuroblastoma Response Criteria [34 (link)].
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Diagnosis
MYCN protein, human
Neoplasms
Neuroblastoma
Patients
Oct4 expression data was obtained as the mean Oct4+ cell percentage of the different cylinders in each sample. For statistical purposes, the Oct4+ cell percentage was dichotomized according to the median value, and cases were grouped as having low (≤ median value) or high (> median value) Oct4+ cell percentage. Low Oct4+ cell percentage cases also included Oct4 negative (Oct4−) tumours. SPSS version 22 was used to perform the statistical analysis, setting the significance level at 95%. Using the Chi-square test we checked that histopathology correlated with the Oct4+ cell percentage established groups (low versus high) in order to elucidate their expression pattern in NBTs. We also evaluated statistical correlation between Oct4+ cell percentage groups and variables based on the INRG prognostic categories such as patient age (< 18 versus ≥18 months), tumour stage (localized [L1 & L2] versus metastasis [M & Ms]), histological category (ganglioneuroma [GN] & intermixed ganglioneuroblastoma [GNB] versus NB & nodular GNB), neuroblast differentiation degree (undifferentiated [u] versus poorly differentiated [pd] versus differentiating [d]), presence of numerical or segmental chromosomal aberrations (NCA versus SCA), status of MYCN (amplified [MNA] versus non-amplified [MNNA]) and integrity of 11q (non-deleted versus deleted). Blood vessel-related variables (size and shape) were also dichotomized according to the median value, and Oct4+ cell percentage correlation analysis was performed with the resulting groups (small versus large and regular versus irregular vessels, respectively). Survival analysis was carried out with Kaplan-Meier curves and log-rank test. A multivariate Cox regression analysis with the stepwise backwards (Wald) method was undertaken to calculate hazard ratios and the impact of Oct4 expression level on survival. For this last purpose, only completely described cases for all variables were considered.
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Blood Vessel
Cells
Chromosome Aberrations
Ganglioneuroblastoma
Ganglioneuroma
MYCN protein, human
Neoplasm Metastasis
Neoplasms
Patients
POU5F1 protein, human
We tested medulloblastoma samples with the Illumina HumanMethylation450K DNA methylation array (Illumina, San Diego, CA, USA). The Gene Expression Omnibus accession number for 450K DNA methylation array profiles we used for the determination of human medulloblastoma molecular subgroup status is GSE93646.
To identify methylation-dependent subgroups, we did unsupervised class discovery by NMF-metagene and k-means clustering, testing all combinations of 3–10 metagenes and clusters for reproducibility using bootstrapped resampling methods (250 iterations) as described previously.7 (link) This analysis identified metagenes (a single score that reflects the methylation status of several CpG loci) representing the main biological effects present in the genome-wide dataset. We assessed cluster stability using the cophenetic index, a shorthand measure of the robustness of sample clustering as determined by consensus non-negative matrix factorisation (appendix p 3 ). We visualised clusters with t-SNE.22 We assigned samples classified with less than 80% confidence (by resampling procedures) as non-classifiable (NC; appendix pp 2–3 ).
We projected metagenes derived from our discovery cohort onto the validation cohort. Additionally, we combined the discovery and validation cohorts to do equivalent consensus clustering.
We assessed established medulloblastoma clinical, pathological, and molecular features as described previously.7 (link) Briefly, we defined histopathological variants according to the WHO 2016 guidelines.13 (link) We assigned metastatic status (M+) based on Chang's criteria (appendix p 3 ). Tumours were designated as R+ if their residuum after surgical excision exceeded 1·5 cm2. Pathology was centrally reviewed by three experienced neuropathologists for 380 (89%) of 428 samples, and clinical data were collated from contributing centres and reviewed centrally (appendix p 3 ). We assessed MYC and MYCN status by fluorescence in situ hybridisation or copy-number estimates from methylation array. We assessed TP53, CTNNB1, and TERT mutation status by Sanger sequencing. We identified subgroup-specific differentially methylated CpG loci or methylated regions (DMRs) using limma or DMRcate23 (link), 24 (link) (appendix p 3 ). RNA-seq expression data were generated for discovery cohort samples for which mRNA of sufficient quantity and quality was available. We identified subgroup-specific differentially expressed genes using DESeq2,25 (link) and these genes were included in ontology enrichment analyses (appendix p 4 ). We identified GFI1 mutations from RNA-seq data (appendix p 4 ).
MBSHH mutation data were obtained from a previous study.26 (link) Although 450K methylation data for MBSHH subgroup assignment were not available for this sample cohort, the tightly defined age cutoff that we defined between the molecularly determined MBSHH-Infant and MBSHH-Child subgroups enabled us to infer subgroups for this sequencing cohort (appendix p 4 ).26 (link) We tested recurrent MBSHH mutations (TP53, SUFU, PTCH1, SMO, and TERT) and gene amplifications (MYCN and GLI2) identified by whole genome sequencing, for association with the age-defined MBSHH-Child or MBSHH-Infant subgroups using Fisher's exact test (appendix p 4 ).
To identify methylation-dependent subgroups, we did unsupervised class discovery by NMF-metagene and k-means clustering, testing all combinations of 3–10 metagenes and clusters for reproducibility using bootstrapped resampling methods (250 iterations) as described previously.7 (link) This analysis identified metagenes (a single score that reflects the methylation status of several CpG loci) representing the main biological effects present in the genome-wide dataset. We assessed cluster stability using the cophenetic index, a shorthand measure of the robustness of sample clustering as determined by consensus non-negative matrix factorisation (
We projected metagenes derived from our discovery cohort onto the validation cohort. Additionally, we combined the discovery and validation cohorts to do equivalent consensus clustering.
We assessed established medulloblastoma clinical, pathological, and molecular features as described previously.7 (link) Briefly, we defined histopathological variants according to the WHO 2016 guidelines.13 (link) We assigned metastatic status (M+) based on Chang's criteria (
MBSHH mutation data were obtained from a previous study.26 (link) Although 450K methylation data for MBSHH subgroup assignment were not available for this sample cohort, the tightly defined age cutoff that we defined between the molecularly determined MBSHH-Infant and MBSHH-Child subgroups enabled us to infer subgroups for this sequencing cohort (
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Biopharmaceuticals
Child
CTNNB1 protein, human
DNA Methylation
Fluorescent in Situ Hybridization
Gene Amplification
Genes
Genome
Homo sapiens
Infant
Medulloblastoma
Methylation
Mutation
MYCN protein, human
Neoplasms
Neuropathologist
Operative Surgical Procedures
PTCH1 protein, human
RNA, Messenger
RNA-Seq
TERT protein, human
TP53 protein, human
Animals, Transgenic
Cells
Clip
Clone Cells
Cloning Vectors
Embryo
Gene Expression
Genes
Germ Line
MYCN protein, human
Tissues
Transgenes
Transmission, Communicable Disease
Zebrafish
Most recents protocols related to «MYCN protein, human»
Proteins were isolated using a RIPA lysis buffer (5 mg/ml sodium deoxycholate, 150 mM NaCl, 50 mM Tris-HCl pH 7.5, 0,01% SDS solution, 0,1% NP-40) supplemented with protease inhibitors. In total, 40 µg of protein lysate was loaded onto an SDS-PAGE gel (10% Pre-cast, Bio-Rad), run for 1 h at 150 V and subsequently blotted onto a nitrocellulose membrane. Antibodies were selected based on validation described on the manufacturer’s website and existing citations. Next, antibodies were validated in the lab by western blot with total protein lysates collected from different neuroblastoma cell lines. The membranes were probed with the following primary antibodies: anti-SOX11 antibody (SOX11-PAb, 1:1000 dilution), anti-c-MYB antibody (12319 S, Cell Signaling, 1:1000 dilution), anti-MYCN antibody (SC-53993, Santa Cruz 1:1000 dilution), anti-SMARCC1 antibody (11956 S, Cell Signaling 1:1000), and anti-SMARCA4 antibody (3508 S, Cell Signaling, 1:500). As secondary antibody, we used HRP-labeled anti-rabbit (7074 S, Cell Signalling, 1:10,000 dilution) and anti-mouse (7076P2, Cell Signalling, 1:10,000 dilution) antibodies. Antibodies against Vinculin (V9131; Sigma-Aldrich, 1:10,000 dilution), alpha-Tubulin (T5168, Sigma-Aldrich, 1:10,000 dilution) or beta-actin (A2228, Sigma-Aldrich, 1:10,000 dilution) were used as loading control. The rabbit polyclonal antibody, SOX11-PAb, was custom made (Absea biotechnology, China) against the immunogenic peptide p-SOX11C-term DDDDDDDDDELQLQIKQEPDEEDEEPPHQQLLQPPGQQPSQLLRRYNVAKVPASPTLSSSAESPEGASLYDEVRAGATSGAGGGSRLYYSFKNITKQHPPPLAQPALSPASSRSVSTSSS and used for western blot and chromatin immunoprecipitation for SOX11. All antibodies were diluted in milk/TBST (5% non-fat dry milk in TBS with 0.1% Tween-20). Binding of the antibodies with the membrane was evaluated using the SuperSignal West Dura or Femto Extended Duration Substrate (Thermo Scientific #34075 and #34096). Pictures were taken with the ChemiDoc-It Imaging System (UVP) using the VisionWorks analysis software (UVP, v2.0.0), quantification of the blots were performed using ImageJ (v1.53). Uncropped scans of the blots used can be found in the Source Data files.
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alpha-Tubulin
anti-c antibody
Antibodies
Antibodies, Anti-Idiotypic
Antigens
beta-Actin
Buffers
CD3EAP protein, human
Cell Lines
Cells
Deoxycholic Acid, Monosodium Salt
Dura Mater
Immunoglobulins
Immunoprecipitation, Chromatin
Milk, Cow's
Mus
MYCN protein, human
Neuroblastoma
Nitrocellulose
Nonidet P-40
peptide P
Protease Inhibitors
Proteins
Rabbits
Radioimmunoprecipitation Assay
Radionuclide Imaging
SDS-PAGE
SMARCA4 protein, human
SMARCC1 protein, human
Sodium Chloride
SOX11 protein, human
Technique, Dilution
Tissue, Membrane
Tromethamine
Tween 20
Vinculin
Western Blotting
To further confirm the clinical role of the risk score, the relationship between the risk score and the clinicopathological parameters was explored, including age, sex, MYCN status, INSS stage, histology, grade, mitosis-karyorrhexis index (MKI), and COG risk. Next, independent risk factors were screened using univariate and multivariate Cox regression analyses. We further performed Kaplan–Meier survival analysis in a training set with different clinical subgroups and explored the discrepancies between the two groups.
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MYCN protein, human
For analysis of survival correlations, patient data were accessed through the R2: Genomics Analysis and Visualization Platform (http://r2.amc.nl ). Overall survival analysis with EP300 mRNA expression level in MYCN-amplified NB cases was assessed using patient data from Kocak (GSE45547) and SEQC (GSE49710) datasets (cutoff modus = scan, minimal group size = 8, and MYCN status = MYCN-amp).
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EP300 protein, human
Modus
MYCN protein, human
Patients
Radionuclide Imaging
RNA, Messenger
SK-N-BE(2), IMR-32, and 293T cell lines were obtained from the American Type Culture Collection. Cell lines were authenticated by short tandem repeat profiling (GENEWIZ, Inc). SK-N-BE(2) and IMR-32 cells were maintained in a 1:1 mixture of Eagle's minimum essential medium and F12 medium (catalog nos.: 61100061/12500062; Thermo Fisher Scientific) supplemented with 10% fetal bovine serum (catalog no.: 10270106; Gibco), 100 units/ml penicillin, and 100 μg/ml streptomycin. 293T cells were cultured in Dulbecco's modified Eagle's medium (catalog no.: 10-013-CVR; Corning) supplemented with 10% fetal bovine serum, 100 units/ml penicillin, and 100 μg/ml streptomycin.
The whole length of MYCN with a 3xFLAG tag sequence or 3xFLAG sequence only was constructed, subcloned into a Ubi-MCS-SV40-EGFP-IRES-puromycin vector, and further constructed as a lentivirus by Shanghai GeneChem Co, Ltd. 293T cells were treated with corresponding lentivirus for 24 h. After cultured for another 48 h, 2 μg/ml puromycin was used to screen stable infected cells for 24 h, and then the infection efficiency was determined by Western blot before further use. The sequences of full-length MYCN and four deletion mutated MYCN with a 3xFLAG tag (Δ1–123, Δ382–464, Δ346–464, and Δ281–464), and FLAG sequence only were constructed and subcloned into CMV-MCS-SV40-Neomycin vector. The amino acid sequence of 3xFLAG tag we used was DYKDDDDKGDYKDDDDKIDYKDDDDK. All plasmids were constructed and provided by Shanghai GeneChem Co, Ltd. These plasmids were transfected into 293T cells using Lipofectamine 2000 transfection reagent (Invitrogen) and transiently expressed according to the manufacturer's instruction. The transfection efficiency was validated by Western blot analysis of N-Myc expression.
Remodelin hydrobromide (S7641) was purchased from Selleck, and NU9056 (HY-110127) was purchased from MedChemExpress.
The whole length of MYCN with a 3xFLAG tag sequence or 3xFLAG sequence only was constructed, subcloned into a Ubi-MCS-SV40-EGFP-IRES-puromycin vector, and further constructed as a lentivirus by Shanghai GeneChem Co, Ltd. 293T cells were treated with corresponding lentivirus for 24 h. After cultured for another 48 h, 2 μg/ml puromycin was used to screen stable infected cells for 24 h, and then the infection efficiency was determined by Western blot before further use. The sequences of full-length MYCN and four deletion mutated MYCN with a 3xFLAG tag (Δ1–123, Δ382–464, Δ346–464, and Δ281–464), and FLAG sequence only were constructed and subcloned into CMV-MCS-SV40-Neomycin vector. The amino acid sequence of 3xFLAG tag we used was DYKDDDDKGDYKDDDDKIDYKDDDDK. All plasmids were constructed and provided by Shanghai GeneChem Co, Ltd. These plasmids were transfected into 293T cells using Lipofectamine 2000 transfection reagent (Invitrogen) and transiently expressed according to the manufacturer's instruction. The transfection efficiency was validated by Western blot analysis of N-Myc expression.
Remodelin hydrobromide (S7641) was purchased from Selleck, and NU9056 (HY-110127) was purchased from MedChemExpress.
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1,2-bis(isothiazol-5-yl)disulfane
4-(4-cyanophenyl)-2-(2-cyclopentylidenehydrazinyl)thiazole
Amino Acid Sequence
Cell Lines
Cells
Cloning Vectors
Culture Media
Deletion Mutation
Fetal Bovine Serum
HEK293 Cells
Infection
Internal Ribosome Entry Sites
Lentivirus
lipofectamine 2000
MYCN protein, human
Neomycin
Penicillins
Plasmids
Puromycin
Short Tandem Repeat
Simian virus 40
Streptomycin
Transfection
Western Blot
Control siRNA and three different siRNAs specific for EP300 and NAT10, respectively, were chemically synthesized (RiboBio, China). Cells were seeded in 6-well plates at 30 to 40% confluency 24 h before transfection. RNAi transfections were performed using RNAiMAX (catalog no.: 13778150; Thermo Fisher Scientific) following the manufacturer's protocol. Cells were harvested for subsequent experiments 48 to 72 h after transfection.
Target sequences were as follows:
EP300-1: 5′-CGACTTACCAGATGAATTA-3′
EP300-2: 5′-GCACAAATGTCTAGTTCTT-3′
EP300-3: 5′-AGATGAGAGTTTAGGCCGC-3′
NAT10-1: 5′-GGAATATGGTGGACTATCA-3′
NAT10-2: 5′-GGACTGCTGTAAGACTCTA-3′
NAT10-3: 5′-GTACTCCAATATCTTTGTT-3′
MYCN: 5′-CTGAGCGATTCAGATGATGAA-3′
Target sequences were as follows:
EP300-1: 5′-CGACTTACCAGATGAATTA-3′
EP300-2: 5′-GCACAAATGTCTAGTTCTT-3′
EP300-3: 5′-AGATGAGAGTTTAGGCCGC-3′
NAT10-1: 5′-GGAATATGGTGGACTATCA-3′
NAT10-2: 5′-GGACTGCTGTAAGACTCTA-3′
NAT10-3: 5′-GTACTCCAATATCTTTGTT-3′
MYCN: 5′-CTGAGCGATTCAGATGATGAA-3′
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Cells
EP300 protein, human
MYCN protein, human
RNA, Small Interfering
RNA Interference
Transfection
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Fetal Bovine Serum (FBS) is a cell culture supplement derived from the blood of bovine fetuses. FBS provides a source of proteins, growth factors, and other components that support the growth and maintenance of various cell types in in vitro cell culture applications.
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The RNeasy Mini Kit is a laboratory equipment designed for the purification of total RNA from a variety of sample types, including animal cells, tissues, and other biological materials. The kit utilizes a silica-based membrane technology to selectively bind and isolate RNA molecules, allowing for efficient extraction and recovery of high-quality RNA.
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Penicillin/streptomycin is a commonly used antibiotic solution for cell culture applications. It contains a combination of penicillin and streptomycin, which are broad-spectrum antibiotics that inhibit the growth of both Gram-positive and Gram-negative bacteria.
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The SH-SY5Y is a human cell line derived from a bone marrow biopsy. It is a subclone of the parental cell line SK-N-SH, which was originally isolated from a metastatic neuroblastoma tumor. The SH-SY5Y cell line is commonly used in neurobiological and neurodegenerative research.
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The SK-N-AS is a human neuroblastoma cell line derived from a metastatic bone tumor. It is routinely used for in vitro research purposes.
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Lipofectamine 2000 is a cationic lipid-based transfection reagent designed for efficient and reliable delivery of nucleic acids, such as plasmid DNA and small interfering RNA (siRNA), into a wide range of eukaryotic cell types. It facilitates the formation of complexes between the nucleic acid and the lipid components, which can then be introduced into cells to enable gene expression or gene silencing studies.
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TRIzol reagent is a monophasic solution of phenol, guanidine isothiocyanate, and other proprietary components designed for the isolation of total RNA, DNA, and proteins from a variety of biological samples. The reagent maintains the integrity of the RNA while disrupting cells and dissolving cell components.
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SK-N-SH is a cell line derived from a human neuroblastoma. It is commonly used in research and experimental studies.
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SK-N-BE(2) is a human neuroblastoma cell line derived from a bone marrow biopsy. It is a commonly used model for the study of neuroblastoma, a type of cancer that originates in the nerve tissue.
Sourced in United States, Italy, Germany
The IMR-32 is a cell line derived from a human neuroblastoma. It is a commonly used in vitro model for the study of neurological processes and diseases.
More about "MYCN protein, human"
The MYCN protein, also known as N-Myc, is a crucial transcription factor that plays a vital role in regulating cell growth, differentiation, and apoptosis.
It is often overexpressed in a variety of cancers, particularly neuroblastoma, and is associated with more aggressive disease and poorer patient outcomes.
Understanding the function and regulation of MYCN is an important area of research for developing new therapies and improving cancer treatment.
The MYCN protein belongs to the Myc family of transcription factors, which also includes c-Myc and L-Myc.
These proteins act as master regulators, controlling the expression of numerous genes involved in cell proliferation, cell cycle progression, and cell survival.
Overexpression of MYCN can lead to uncontrolled cell growth and a more aggressive cancer phenotype.
In neuroblastoma, a common childhood cancer, MYCN amplification is a well-established prognostic marker.
Neuroblastoma cell lines such as SH-SY5Y, SK-N-AS, SK-N-SH, SK-N-BE(2), and IMR-32 are commonly used in research to study MYCN-related mechanisms and test potential therapies.
Techniques like cell culture, transfection with Lipofectamine 2000, and RNA extraction using the RNeasy Mini Kit or TRIzol reagent are often employed in these studies.
Targeting the MYCN protein or its upstream regulatory pathways is an active area of cancer research.
Potential therapeutic strategies include inhibiting MYCN expression or activity, interfering with its interaction with other proteins, or exploiting its role in cell metabolism and survival.
Ongoing research aims to develop more effective and less toxic therapies for MYCN-driven cancers, ultimately improving patient outcomes.
It is often overexpressed in a variety of cancers, particularly neuroblastoma, and is associated with more aggressive disease and poorer patient outcomes.
Understanding the function and regulation of MYCN is an important area of research for developing new therapies and improving cancer treatment.
The MYCN protein belongs to the Myc family of transcription factors, which also includes c-Myc and L-Myc.
These proteins act as master regulators, controlling the expression of numerous genes involved in cell proliferation, cell cycle progression, and cell survival.
Overexpression of MYCN can lead to uncontrolled cell growth and a more aggressive cancer phenotype.
In neuroblastoma, a common childhood cancer, MYCN amplification is a well-established prognostic marker.
Neuroblastoma cell lines such as SH-SY5Y, SK-N-AS, SK-N-SH, SK-N-BE(2), and IMR-32 are commonly used in research to study MYCN-related mechanisms and test potential therapies.
Techniques like cell culture, transfection with Lipofectamine 2000, and RNA extraction using the RNeasy Mini Kit or TRIzol reagent are often employed in these studies.
Targeting the MYCN protein or its upstream regulatory pathways is an active area of cancer research.
Potential therapeutic strategies include inhibiting MYCN expression or activity, interfering with its interaction with other proteins, or exploiting its role in cell metabolism and survival.
Ongoing research aims to develop more effective and less toxic therapies for MYCN-driven cancers, ultimately improving patient outcomes.