№ files_lp_4_process_3_073642
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Tabular data source detailing gene methylation detection performance metrics including sensitivity, specificity, predictive values, and AUC across plasma and urine samples for cancer and control groups.
Year:
2026
Study Population:
Whites
Sample Type:
Plasma, Urine
Disease Focus:
Cancer
Number of Cancer Cases:
41
Number of Control Cases:
11
Genes Analyzed:
CDO1, TAC1, HOXA7, HOXA9, SOX17, ZFP42
Parameters Measured:
Sensitivity, Specificity, Positive Predictive Value (PPV), Negative Predictive Value (NPV), Area Under the Curve (AUC), 95% Confidence Interval
Data Presentation:
Tabular
Cutoff Criteria:
Detectable vs. Non-detectable
Combined Analysis:
At least 3 positive genes
Price: 8 / 10 USD
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The product description is provided for reference. Actual content and formatting may differ slightly.
Year:
2014
Region / city:
Qatar
Topic:
Medical Research
Document Type:
Research Article
Author(s):
Atqah AbdulWahab, Saad J Taj-Aldeen, Emad Ibrahim, Shaikha H Abdulla, Ramees Muhammed, Irshad Ahmed, Yasmine Abdeen, Omnia Sadek, Marawan Abu-Madi
Target Audience:
Medical professionals, researchers in infectious diseases
Date of approval:
2014
Note:
Contextual description
Year:
2013
Region / City:
Parma, Italy; Richmond, Virginia, USA; Norman, Oklahoma, USA
Topic:
Biochemistry, Molecular Biology, Protein Interactions
Document Type:
Research Article
Institution:
University of Parma, Virginia Commonwealth University, University of Oklahoma
Author:
Francesca Spyrakis, Paolo Felici, Enea Salsi, Riccardo Miggiano, Barbara Campanini, Alexander S. Bayden, Glen E. Kellogg, Pietro Cozzini, Paul F. Cook, Andrea Mozzarelli
Target Audience:
Researchers, Biochemists, Molecular Biologists
Effective Period:
N/A
Approval Date:
N/A
Revision Date:
N/A
Year:
Not specified
Region / City:
Not specified
Topic:
Medical examination, diagnostic accuracy, dental imaging
Document type:
Supplementary material
Organization / Institution:
Not specified
Author:
Not specified
Target audience:
Not specified
Period of validity:
Not specified
Approval date:
Not specified
Date of changes:
Not specified
Year:
2025
Note:
Region / city
Topic:
Central nervous system tumor diagnostics
Document type:
Scientific article
Author:
Aldape K, Capper D, von Deimling A, Giannini C, Gilbert MR, Hawkins C, Hench J, Jacques TS, Jones D, Louis DN, Mueller S, Orr BA, Nasrallah M, Pfister SM, Sahm F, Snuderl M, Solomon D, Varlet P, Wesseling P
DOI:
10.1093/noajnl/vdae228
PMID:
39902391
PMCID:
PMC11788596
Context:
A scientific article offering guidelines on the use of DNA methylation profiling for diagnosing tumors in the central nervous system.
Year:
2017
Region / City:
Netherlands, Canada
Topic:
DNA Methylation Analysis
Document Type:
Research Supplementary Materials
Institution:
Not specified
Author:
Forest et al.
Target Audience:
Researchers in genomics and molecular biology
Period of validity:
Not specified
Date of approval:
Not specified
Date of changes:
Not specified
Document type:
Supplementary material
Subject:
Differential DNA methylation analysis
Keywords:
DNA methylation, DMPs, DMRs, CpG island, GO enrichment, KEGG pathway, polyps, normal tissue
Biological context:
Comparison between polyp and control tissue samples
Analytical methods:
Correlation heatmap, box plot normalization, differential methylation analysis, GO and KEGG enrichment analysis
Genes mentioned:
LPA, SVIL, KRT18, MYH13 and others listed in enrichment tables
Statistical measures:
Pearson’s correlation coefficient, T value, pvalue, adjusted pvalue, qvalue
Biological processes highlighted:
Regulation of membrane potential, axon guidance, extracellular matrix organization, ion transmembrane transport
Abbreviations:
TSS (transcription start site), P (polyp), C (control), FEM (Functional epigenetic modules), DMP (differentially methylated position), DMR (differentially methylated region)
Year:
2022
Region / city:
Global
Theme:
DNA methylation analysis
Document type:
Product datasheet
Organization / institution:
Abcam
Author:
Abcam
Target audience:
Researchers in molecular biology, genetics, and biochemistry
Validity period:
Not specified
Approval date:
21 June 2022
Modification date:
Not specified
Year:
2026
Institution:
Johns Hopkins Hospital, Asan Medical Center
Study Type:
Molecular biology study
Methods:
Droplet digital PCR, MSP, bisulfite sequencing, ddQMSP, mRNA expression analysis
Biomarkers:
SOX17, ACTB, KRAS, GNAS, seven marker genes
Sample Type:
Surgically aspirated pancreatic cyst fluid, pancreatic cell lines, normal pancreatic tissue
Sample Size:
183 patients (discovery and validation sets)
Pathology:
IPMN, MCN, SCN, HGD, INV, IGD, LGD
Data Presentation:
1-D ddPCR plots, heat maps, AUC values, box plots, correlation plots
Statistical Measures:
Mean ± standard deviation, coefficient of determination (R²), coefficient of variation (% CV), 95% confidence interval
Experimental Conditions:
5-Aza-2′-deoxycytidine, trichostatin A treatment
Comparisons:
Between hospitals (JHH vs AMC), among cyst types, stratified by mutation status and histologic grade
Year:
2025
Region / city:
China
Subject:
Nasopharyngeal carcinoma, RNA modification
Document type:
Original research article
Institution:
University hospital, Otolaryngology department
Author:
Not specified
Target audience:
Researchers, clinicians
Period of validity:
Not specified
Approval date:
Not specified
Date of revisions:
Not specified
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:
Not specified
Region / City:
Not specified
Subject:
DNA methylation, LRP11, HCC
Document Type:
Supplementary figure
Organization / Institution:
SMART database
Author:
Not specified
Target Audience:
Researchers in genomics
Effective Period:
Not specified
Approval Date:
Not specified
Date of Changes:
Not specified
Year:
2023
Region / City:
Denmark
Theme:
Cervical Cancer Screening, HPV Testing, DNA Methylation
Document Type:
Research Article
Organization / Institution:
University Research Clinic for Cancer Screening, Aarhus University
Authors:
Mette Tranberg, Severien Van Keer, Albertus T Hesselink, Pia Nørgaard, Rikke Brøndum, Chunsen WU, Line Winther Gustafson, Anne Hammer, Pinar Bor, Karen Omann Binderup, Christina Blach, Alex Vorsters, Renske Steenbergen
Target Audience:
Researchers, Healthcare Professionals, Medical Community
Period of Application:
Not specified
Approval Date:
Not specified
Date of Changes:
Not specified
Study Registration:
Clinicaltrials.gov: NCT05065853
Keywords:
DNA methylation, cervical cancer screening, HPV DNA testing, urinary HPV testing, early detection of cancer/methods
Abstract:
The study evaluates the performance of ASCL1/LHX8 DNA methylation markers and HPV genotyping in first-void urine samples for detecting high-grade cervical intraepithelial neoplasia (CIN2+) and cervical cancer in HPV-positive women, comparing it with clinician-collected cervical samples.
Document Type:
Supplementary data description
Content Type:
Data file index and variable definitions
Research Field:
Epigenetics; Neurodegenerative disease research
Disease Focus:
Parkinson’s disease
Biological Material:
Human prefrontal cortex nuclei samples
Cell Types:
NeuN+ neuronal nuclei; SOX10+ oligodendrocyte nuclei; double negative glial nuclei
Genetic Factor:
GBA1 variant status
Data Types:
Sample metadata; quality control metrics; cell composition estimates; differential DNA methylation results; gene ontology analysis
Analytical Methods:
EWAS (epigenome-wide association study); linear regression analysis; interaction models; Tukey HSD test; ANOVA; χ² test
Laboratory Methods:
EPIC DNA methylation array; bisulfite conversion; fluorescence-activated nuclei sorting (FANS)
Variables Included:
PD status; GBA1 status; sex; dementia status; Braak Lewy body stage; Braak neurofibrillary tangle stage; methylation signal intensity; principal components; genomic site coordinates
Sample Groups:
PD-GBA1; PD-non-GBA1; Control-GBA1; Control-non-GBA1
Brain Region:
Prefrontal cortex
Number of Supplementary Files:
14
File Formats:
XLS spreadsheets
Key Measurements:
DNA methylation beta values; cell composition fractions; quality control metrics; differential methylation statistics
Year:
2018–2020
Document type:
Laboratory manual
Subject:
Urine specimen collection procedures
Prepared by:
Amal Hussain Atef, Senior Lab Technologist
Reviewed by:
Mona Faraj, Lab Supervisor
Approved by:
Dr. Abul Jalaluddin Bhuiyan, Head of Section
Intended users:
Laboratory staff, healthcare personnel, patients
Scope:
Patient preparation, specimen collection, transport, and documentation
Specimen types:
Random urine, first morning urine, timed urine, 24-hour urine, midstream clean catch, catheter specimen, suprapubic aspiration
Associated documents:
Urine Collection Instruction to Male Patients (Appendix A); Urine Collection Instruction to Female Patients (Appendix B)
Note:
Year
Organization / Institution:
Canberra Health Services
Target Audience:
Healthcare workers, medical staff, nurses, midwives
Year:
2026
Region:
Not specified
Document type:
Supplementary material / Research data
Methods:
LC-MS/MS, IP–HILIC–MS/MS
Analytes:
Tenofovir (TFV), Tenofovir-diphosphate (TFV-DP)
Sample types:
Urine, Dried Blood Spots (DBS)
Target population:
Participants on antiretroviral therapy (ART)
Measured variables:
Urine TFV concentration, DBS TFV-DP concentration, POC TFV results, self-reported adherence, viral load, drug resistance
Instrument:
Agilent HPLC coupled to AB Sciex 5500 triple quadrupole mass spectrometer
Software:
Analyst v1.6.2
Detection method:
Negative-ion multiple reaction monitoring (MRM)
Tables included:
S1, S2, S3, S4
Year:
2026
Region / City:
Not specified
Topic:
Urinary dipstick tests, Sediment analysis
Document Type:
Research data
Institution:
Not specified
Author:
Not specified
Target audience:
Researchers, medical professionals
Period of validity:
Not specified
Approval date:
Not specified
Modification date:
Not specified
Contextual description:
A research document detailing the processing pipeline and results of urinary dipstick tests for different sample groups, as well as sediment analysis for urine samples.
Year:
2023
Region / City:
United Kingdom
Subject:
Fetal renal function, pregnancy
Document type:
Research article
Author:
Udoamaka Ezuruike, Alexander Blenkinsop, Amita Pansari, Khaled Abduljalil
Target audience:
Researchers, healthcare professionals, obstetricians, nephrologists
Period of action:
Pregnancy period
Date of approval:
Not provided
Date of amendments:
Not provided
Keywords:
Fetus, Pregnancy, Urine Production, Renal function, Creatinine, PBPK
Note:
Context