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This document contains supplementary tables presenting detailed data on TP53 mutations, their frequencies, and HLA restrictions relevant to cancer immunotherapy research.
Year:
2021
Region / City:
International
Topic:
Cancer Research
Document Type:
Supplementary Data
Institution:
Not specified
Author:
Not specified
Target Audience:
Researchers in cancer immunotherapy
Period of Validity:
Not specified
Approval Date:
Not specified
Date of Changes:
Not specified
Price: 8 / 10 USD
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The product description is provided for reference. Actual content and formatting may differ slightly.
Note:
Year
Document Type:
Request Form
Organization / Institution:
NHSBT
Target Audience:
Healthcare professionals
Year:
2012
Author:
H.L.A. Hart
Title:
The Concept of Law, Chapter VII: Formalism and Rule Scepticism
Edition:
3rd edition
Type of document:
Academic text / Legal theory
Field:
Jurisprudence / Legal philosophy
Key concepts:
Legal formalism, rule-scepticism, open texture of law, judicial discretion
Target audience:
Legal scholars, law students, philosophers of law
Referenced legal school:
American Legal Realism
Main focus:
Examination of the limits of legal rules and judicial decision-making
Year:
2023
Region / City:
N/A
Subject:
Genomic analysis, liver organoids
Document Type:
Research Methodology
Organization / Institution:
N/A
Author:
N/A
Target Audience:
Researchers, genomic scientists
Period of Validity:
N/A
Approval Date:
N/A
Date of Changes:
N/A
Year:
2026
Region / City:
Not specified
Subject:
TP53 mutations, DNA methylation, GC patients
Document Type:
Supplementary material
Institution:
Not specified
Author:
Not specified
Target Audience:
Researchers and clinicians in molecular genetics and oncology
Methods:
Sanger sequencing, pyrosequencing, primer design
Data Source:
Patient tumor samples
Genomic Reference:
GRCh37: Genome Reference Consortium human build 37
Figures Included:
Methylation distribution and survival analysis
Tables Included:
Primer sequences, TP53 mutations
Clinical Context:
Neoadjuvant and adjuvant chemotherapy subgroups
Year:
2026
Region / City:
N/A
Topic:
Immune cell score analysis, TP53 mutation, HRD status, estrogen receptor status
Document type:
Figure
Organization / Institution:
N/A
Author:
N/A
Target audience:
Researchers, medical professionals
Period of validity:
N/A
Approval date:
N/A
Date of modifications:
N/A
Year:
2021
Region / City:
Princeton
Theme:
Biology, Protein Synthesis, Genetics
Document Type:
Lesson Plan
Institution:
Princeton High School
Authors:
Emily Leitnick & Arionne Smith
Target Audience:
High School Students (Biology Class)
Duration:
10 days
Date of Approval:
8/9/21
Date of Revisions:
Not specified
Period of Validity:
Second Six Weeks Period
Year:
2023
Region / city:
Not specified
Topic:
Cancer research, EGFR mutations
Document type:
Research figure
Organization / institution:
Not specified
Author:
Not specified
Target audience:
Researchers, oncologists
Effective period:
Not specified
Approval date:
Not specified
Modification date:
Not specified
Year:
N/A
Region / City:
N/A
Theme:
Mutation Frequency, Bacterial Genetics
Document Type:
Research Data
Author:
N/A
Target Audience:
Researchers in Genetics, Microbiology
Period of Action:
N/A
Date of Approval:
N/A
Date of Modifications:
N/A
Year:
2007
Region / city:
Not specified
Topic:
Mutagenesis, Genetics, Crop Improvement
Document type:
Educational Module
Organization / Institution:
Not specified
Author:
Not specified
Target audience:
Researchers, students in the field of genetics and plant breeding
Period of validity:
Not specified
Approval date:
Not specified
Modification date:
Not specified
Year:
2015
Region / City:
Nice, France
Field:
Hepatology, Virology, Infectious Diseases
Document Type:
Original Article, Observational Study
Institution:
Archet Hospital, Centre Hospitalier Universitaire
Author(s):
Alissa Naqvi, Valérie Giordanengo, Brigitte Dunais, Francine de Salvador-Guillouet, Isabelle Perbost, Jacques Durant, Pascal Pugliese, Aline Joulié, Pierre Marie Roger, Eric Rosenthal
Target Audience:
Medical Researchers, Healthcare Professionals, Clinicians
Period of Study:
August 2011 - October 2013
Approval Date:
2015
Date of Last Revision:
March 17, 2015
Date Published:
July 21, 2015
Year:
2023
Region / city:
Not specified
Topic:
Radiomics, Machine learning, EGFR mutation detection
Document type:
Supplementary material
Author:
Not specified
Target audience:
Researchers, Medical professionals
Period of validity:
Not specified
Approval date:
Not specified
Date of changes:
Not specified
Contextual description:
Supplementary material for a scientific manuscript discussing the radiomic detection of EGFR mutations in non-small cell lung cancer (NSCLC) using machine learning techniques.
Year:
2026
Region / City:
Not specified
Subject:
Genetics and Mutations
Document Type:
Educational Worksheet
Author:
Not specified
Target Audience:
Students
Topics Covered:
DNA sequence changes, types of mutations, gene therapy, effects of mutations, genetic diseases, safety precautions
Year:
2026
Region / City:
London, United Kingdom; Urbana, Illinois, USA; New York City, USA; Glasgow, United Kingdom
Topic:
Breast cancer, ESR1 mutations, drug resistance
Document Type:
Research article
Institution:
The Institute of Cancer Research; University of Illinois at Urbana-Champaign; Memorial Sloan Kettering Cancer Center; Weill Cornell Medical College; The Royal Marsden Hospital
Authors:
Belinda Kingston, Alex Pearson, Maria Teresa Herrera-Abreu, Li-Xuan Sim, Rosalind J Cutts, Heena Shah, Laura Moretti, Lucy S Kilburn, Hannah Johnson, Iain R Macpherson, Alistair Ring, Judith M Bliss, Yingwei Hou, Weiyi Toy, John A Katzenellenbogen, Sarat Chandarlapaty, Nicholas C Turner
Keywords:
Fulvestrant, acquired resistance, ESR1 F404, breast cancer, PIK3CA, TP53, ESR1 D538G, ESR1 E380Q, ESR1 Y537N
Methods:
Patient cohort analysis, progression-free survival assessment, CRISPR gene editing, RNA sequencing, clonogenic assays
Target Audience:
Oncologists, cancer researchers, molecular biologists
Supplementary Data:
Figures 1–9, mutation incidence, gene expression, drug response curves
Clinical Focus:
Acquired resistance to fulvestrant in ESR1 mutant breast cancer models
Year:
2026
Region / City:
Not specified
Subject:
TP53 mutations, DNA methylation, GC patients
Document Type:
Supplementary material
Institution:
Not specified
Author:
Not specified
Target Audience:
Researchers and clinicians in molecular genetics and oncology
Methods:
Sanger sequencing, pyrosequencing, primer design
Data Source:
Patient tumor samples
Genomic Reference:
GRCh37: Genome Reference Consortium human build 37
Figures Included:
Methylation distribution and survival analysis
Tables Included:
Primer sequences, TP53 mutations
Clinical Context:
Neoadjuvant and adjuvant chemotherapy subgroups
Year:
2026
Institution:
Xidian University, School of Computer Science and Technology
Authors:
Yiheng Wang, Xingli Guo, Zhixin Niu, Xiaotai Huang, Bingbo Wang, Lin Gao
Corresponding Author:
Xingli Guo ([email protected])
Document Type:
Supplementary Material
Subject:
Liver Cancer Genomics
Data Included:
Somatic mutation data, RNA-seq data
Regions:
China, France, Japan, United States
Patient Cohorts:
1704 donors across multiple studies
Associated Study:
DeepCBS
Year:
2026
Institution:
Rice University, MD Anderson Cancer Center, NuProbe USA
Department:
Bioengineering; Systems, Synthetic, and Physical Biology; Leukemia; Translational Molecular Pathology
Authors:
Peng Dai, Lucia Ruojia Wu, Sherry Xi Chen, Michael Xiangjiang Wang, Lauren Yuxuan Cheng, Jinny Xuemeng Zhang, Christina Pengying Hao, Weijie Yao, Jabra Zarka, Ghayas C. Issa, Lawrence Kwong, David Yu Zhang
Type:
Supplementary Material
Subject:
NGS quantitation, mutation detection, QBDA method, leukemia and tuberculosis panels
Target Audience:
Researchers in genomics and molecular diagnostics
Techniques:
Single-plex and multiplex QBDA, spike-in reference standards, LoD determination, sequencing depth analysis
Reference Standards:
Myeloid DNA Reference Standard, NA18562 genomic DNA, synthetic gBlocks
Mutation Frequency Range:
0.01%–70% VAF
Data:
Primer sequences and SNP/mutation panels provided in supplementary tables and spreadsheet files
Year:
Not specified
Region / City:
Not specified
Topic:
Computational Biology, Mutation Analysis
Document Type:
Research Methodology
Institution:
Not specified
Author:
Not specified
Target Audience:
Researchers, Academics in Computational Biology
Period of Effect:
Not specified
Approval Date:
Not specified
Modification Date:
Not specified
Related Databases:
COSMIC, dbSNP
Methods Used:
Computational Modeling, Energy Calculations
Reference Materials:
PDB Structures
Description:
A detailed explanation of the computational methodology used to model and analyze somatic mutations in the CBL gene, focusing on energy calculations and mutation effects on protein structure.
Note:
Year
Topic:
Evolution, Genetics
Document Type:
Documentary
Institution:
NOVA
Target Audience:
General public
Subject:
Genetics and heredity
Academic field:
Biology
Topic:
Mendelian genetics and inheritance patterns
Type of document:
Educational text with explanations and practice exercises
Educational level:
Introductory biology / basic genetics
Key concepts:
heredity, genes, alleles, genotype, phenotype, dominant and recessive traits
Scientific figure discussed:
Johann Gregor Mendel
Biological organisms mentioned:
pea plants, beetles, coniferous trees, mushrooms, butterflies, bacteria
Historical period referenced:
mid-19th century research on inheritance
Educational purpose:
explanation of genetic inheritance and practice with genotype–phenotype relationships
Examples and exercises:
pea plant inheritance experiment and genotype tables