№ lp_2_1_16566
File format: docx
Character count: 11609
File size: 101 KB
Secondary school biology lesson plan outlining objectives, learning outcomes, assessment tasks and practical classroom activities on genetic variants, mutations, transcription regulation and their effects on protein structure and phenotype.
Subject:
Biology
Topic:
Genetic variants and phenotypes
Key concepts:
Mutation, gene transcription, translation, protein synthesis, RNA polymerase binding, amino acid sequence
Curriculum references:
SB3.9B; SB3.10B
Document type:
Lesson plan
Educational level:
Secondary education
Components:
Objectives; Learning outcomes; Quick Quiz; Starters; Exploring activities; Worksheets; Safety guidance; Equipment list
Resources referenced:
ALDS presentation SB3e Genetic variants and phenotypes objectives; ALDS presentation SB3e Quick Quiz; Worksheet SB3e.1; Worksheet SB3e.2; Student Book SB3d Protein synthesis
Assessment methods:
Quick Quiz; Progression questions; Confidence level scoring; Peer checking activity
Practical activities:
Protein modelling with beads; Genetic code transcription and translation exercise
Safety considerations:
Eye protection required; Slip hazard from dropped beads
Price: 8 / 10 USD
The file will be delivered to the email address provided at checkout within 12 hours.
The file will be delivered to the email address provided at checkout within 12 hours.
Don’t have cryptocurrency yet?
You can still complete your purchase in a few minutes:- Buy Crypto in a trusted app (Coinbase, Kraken, Cash App or any similar service).
- In the app, tap Send.
- Select network, paste our wallet address.
- Send the exact amount shown above.
The final amount may vary slightly depending on the payment method.
The file will be sent to the email address provided at checkout within 24 hours.
The product description is provided for reference. Actual content and formatting may differ slightly.
Year:
2023
Region / City:
Not specified
Topic:
Dendritic phenotyping, RNAi stocks
Document type:
Research data
Organization / Institution:
Not specified
Author:
Not specified
Target audience:
Researchers in neuroscience, specifically in the field of neuronal phenotyping
Validity period:
Not specified
Approval date:
Not specified
Date of changes:
Not specified
Document type:
Supplementary tables
Study population:
HIV-positive (n=142) and HIV-negative (n=73) participants
Subgroup analysis:
HIV-negative participants (n=71 with pre-; n=73 with post- measurements)
Measured variables:
CD4 T cell phenotypes, CD8 T cell phenotypes, monocyte phenotypes
Phenotype categories:
Differentiation, Activation Profiles, Inflammation/Exhaustion Profiles, Senescence Profiles
Monocyte subsets:
Classical, Intermediate, Non-Classical
Pulmonary function measures:
FEV1, FVC, FEV1/FVC, DLCO
Statistical methods:
Two-sample t-test; linear regression models with adjustment for HBV infection, HCV infection, smoking pack-years, body-mass index, marijuana use, crack cocaine use, injection drug use, tuberculosis, pneumonia
Data presentation:
Median (IQR); standardized beta coefficients
Reference standards:
NHANES III predicted lung function values
Significance thresholds:
P < 0.05 with Bonferroni correction (P=0.05/112)
Year:
2026
Region / City:
Honolulu, HI, USA; Ann Arbor, MI, USA
Topic:
Hepatocellular carcinoma genetics
Document type:
Research article
Institution:
University of Hawaii Cancer Center; University of Michigan
Authors:
Kumardeep Chaudhary, Olivier B Poirion, Liangqun Lu, Sijia Huang, Travers Ching, Lana X Garmire
Funding:
NIEHS K01ES025434, P20 COBRE GM103457, NICHD R01 HD084633, NLM R01LM012373, Hawaii Community Foundation 14ADVC-64566
Target audience:
Biomedical researchers, oncologists, bioinformaticians
Methods:
Multi-modal meta-analysis, mutation profiling, Kaplan-Meier survival analysis, bipartite graph analysis
Sample size:
1494 HCC samples across 6 cohorts
Key findings:
Associations of consensus driver genes with phenotypes, miR expression, CNV, and overall survival
Supplementary materials:
Figures S1–S8, Table S1, File S1
Document type of source:
Peer-reviewed scientific publication
Year:
2023
Region / City:
Yangling
Subject:
Genomics, Plant Biology, Wheat Breeding
Document Type:
Research Article
Institution:
Not specified
Author:
Not specified
Target Audience:
Researchers in Plant Genomics and Breeding
Period of Validity:
Not applicable
Date of Approval:
Not applicable
Date of Changes:
Not applicable
Year:
2016–2021
Field:
Cancer Genomics
Research Topic:
Lung Adenocarcinoma (LUAD) Molecular Subtypes
Document Type:
Supplementary Scientific Notes and Figures
Study Context:
Comparative analysis with Chen et al. 2016 study and related genomic datasets
Data Sources:
TCGA LUAD cohort; CCLE LUAD cell lines; CPTAC LUAD cohort
Analytical Methods:
mRNA expression clustering; GSVA pathway analysis; MutSig2CV mutation analysis; GISTIC2.0 copy number analysis; Cox proportional hazards modeling
Key Molecular Features:
STK11/KRAS co-mutation; MET activation; stem cell gene signature
Subtype Classification:
Five LUAD mRNA expression subtypes (S1–S5)
Comparative Subtypes Referenced:
PP, PI, TRU expression-based subtypes
Genomic Data Types:
DNA copy number; DNA methylation; mRNA expression; miRNA expression; protein expression
Immune Phenotyping Source:
TCGA H&E image–based immune scores
Gene Signature Components:
C6orf62; DNER; NELL2; LATS2; LGR5; PTPRO; LRIG1; PABPC1; NT5E; SET
Referenced Studies:
Chen et al., 2016; Huang et al., 2021; Thorsson et al., 2018
Document type:
Supplemental table
Subject:
Summary of nominated genetic variants per gene
Content:
Gene symbols, HGNC Gene IDs, number of variants nominated, associated disorders, ACMG 73 List status
Referenced policy:
ACMG SF v3.0 list for reporting of secondary findings in clinical exome and genome sequencing
Referenced organization:
American College of Medical Genetics and Genomics (ACMG)
Referenced publication:
Genet Med (2021)
Authors of referenced policy:
Miller, D.T.; Lee, K.; Chung, W.K.; et al.
Notes:
Includes annotations regarding multi-gene deletions or fusions and dual submissions to variant curation expert panels
Note:
Year
Year:
2026
Note:
Region / city
Topic:
Biotechnology, Enzymatic Variants
Document Type:
Supplementary Material
Author:
Hanna Englert, Josephine Göbel, Danika Khong, Maryam Omidi, Nina Wolska, Sandra Konrath, Maike Frye, Reiner K. Mailer, Manu Beerens, Julian C. Gerwers, Roger J. S. Preston, Jacob Odeberg, Lynn M. Butler, Coen Maas, Evi X. Stavrou, Tobias A. Fuchs, Thomas Renné
Target Audience:
Researchers, Biotechnologists
Description:
A supplementary document detailing the analysis of novel enzymatic variants targeting NETs, including protein sequence alignments and statistical comparisons.
Note:
Year
Topic:
Structural Variants, Genome Analysis
Document Type:
Scientific Figures
Target Audience:
Researchers, Geneticists
Year:
2023
Region / City:
N/A
Theme:
Genetics / Variant Interpretation
Document Type:
Table
Institution:
PreventionGenetics
Author:
N/A
Target Audience:
Geneticists, Researchers
Period of Validity:
N/A
Approval Date:
N/A
Date of Changes:
N/A
Year:
2026
Region / City:
Not specified
Topic:
Genomics, SNP Variants
Document Type:
Research Supplement
Author:
Not specified
Target Audience:
Researchers, Genomics Professionals
Period of Validity:
Not specified
Approval Date:
Not specified
Date of Changes:
Not specified
Year:
Not specified
Region:
Not specified
Subject:
Authentication security, passkeys, FIDO2, Cognitive DOM, intent-aware access control
Document type:
Analytical comparison and product positioning brief
Organizations referenced:
FIDO Alliance, Apple, Google, Microsoft
Technologies referenced:
FIDO2, WebAuthn, Windows Hello, Apple Touch ID, Apple Face ID, Android biometrics, iCloud Keychain, Google Password Manager
Product:
xAuth.ai
Comparative scope:
FIDO2 roaming security keys, platform passkeys, synced passkeys, enterprise-managed passkeys, raw WebAuthn/FIDO2 implementations
Security concepts:
phishing resistance, hardware-bound credentials, biometric authentication, DOM telemetry, automation detection, risk scoring, friction-on-failure (FOF), high-value access management (HVAM)
Intended audience:
CISOs, enterprise security architects, SOC teams, insurers, auditors, procurement and technical leadership
Authors:
Jasmine Gratton; Steve E Humphries; Marta Futema
Institutions:
Institute of Cardiovascular Science, Faculty of Population Health Sciences, University College London, London, United Kingdom; Cardiology Research Centre, Molecular and Clinical Sciences Research Institute, St George’s University of London, London, United Kingdom
Country:
United Kingdom
Data source:
UK Biobank
Study design:
Population-based cohort study
Subject:
Prevalence of FH-causing genetic variants and association with LDL-C levels across ancestry groups
Population:
European, South Asian, and African ancestry participants
Sample size:
140,439 European; 4,067 South Asian; 3,906 African participants with lipid and whole exome sequencing data
Genes analysed:
LDLR; APOB; PCSK9
Methods:
Principal component analysis; whole exome sequencing; variant classification using ACMG guidelines
Outcome measures:
Prevalence of pathogenic and likely pathogenic FH variants; LDL-C concentration adjusted for statin use; prevalence and incidence of coronary heart disease
Period of data collection:
2006–2010
Ethical approval:
Conducted under approved UK Biobank application 40721
Type of document:
Scientific research article
Year:
Not specified
Subject:
English language
Grade:
10
Educational programme:
Spotlight
Type of document:
Written test
Assessment type:
Entrance control work
Structure:
Multiple-choice tasks and word-formation tasks
Number of variants:
2
Number of tasks per variant:
45
Sections:
Part 1 (multiple choice), Part 2 (word formation)
Answer key:
Included
Target audience:
Grade 10 students
Year:
2023
Region / City:
Unknown
Topic:
Cancer Research, Pharmacogenetics
Document Type:
Research Supplementary Material
Organization / Institution:
Unknown
Author:
Unknown
Target Audience:
Researchers, Medical Professionals
Period of Validity:
Ongoing
Approval Date:
Unknown
Modification Date:
Unknown
Year:
2026
Event:
3GPP TSG‑WG SA2#173
Location:
Goa
Country:
India
Dates:
9–13 February 2026
Working Group:
3GPP SA2
Standardization Body:
3rd Generation Partnership Project
Source Organizations:
ZTE; InterDigital
Pen-holder(s):
ZTE; InterDigital
Work Item:
FS_6G_ARC
Agenda Item:
20.6.2
Document Type:
Technical contribution
Topic:
6G Service-Based Architecture (SBA) framework and solution variants
Subject Area:
Network function registration, discovery, selection, and architecture evolution for 6G core networks
Purpose:
Approval
Content Structure:
High-level summary table of solution variants and detailed description of enhancements to NF profiles and discovery procedures
Year:
1982
Manufacturer:
Lesney Products & Co. Ltd
Scale:
1:62
Length:
78 mm
Width:
30 mm
Height:
21 mm
Material:
Metal base, plastic interior, black plastic wheels with silver hubs
Lettering:
MATCHBOX bold italic in frame
Model Number:
LS 12-E / LS 51-E
Pre-production Variants:
Yes
Country Codes:
USA (MB 12-E, MB 51-E), UK (51F), ROW (51)
Box Types:
L, Ger-B, M, Win-A
Production Notes:
MAN number 051 allocated in 1982
Year:
2026
Region / City:
Goa, India
Topic:
Solutions, 6G, ARC
Document Type:
Contribution for approval
Organization:
3GPP TSG-WG SA2
Author:
Pen-holder(s)
Target Audience:
3GPP Working Group
Period of Validity:
N/A
Approval Date:
February 2026
Date of Changes:
N/A
Year:
2026
Region / City:
Houston, TX; Warsaw, Poland; Phoenix, AZ; New York, NY; Bogota, Columbia; Austin, TX; Indianapolis, IN; Spokane, WA; Parkville VIC, Australia
Topic:
Genomic disorders, Mendelian traits, NAHR-mediated copy-number variants
Document Type:
Research Article
Institution / Organization:
Baylor College of Medicine, University of Warsaw, Warsaw University of Technology, Phoenix Children’s Hospital, Lenox Hill Hospital, Instituto de Referencia Andino, Signature Genomic Laboratories, Murdoch Children’s Research Institute
Author:
Piotr Dittwald, Tomasz Gambin, Przemyslaw Szafranski, Jian Li, Stephen Amato, Michael Y. Divon, Lisa Ximena Rodríguez Rojas, Lindsay E. Elton, Daryl A. Scott, Christian P. Schaaf, Wilfredo Torres-Martinez, Abby K. Stevens, Jill A. Rosenfeld, Satish Agadi, David Francis, Sung-Hae L. Kang, Amy Breman, Seema R. Lalani, Carlos A. Bacino, Weimin Bi, Aleksandar Milosavljevic, Arthur L. Beaudet, Ankita Patel, Chad A. Shaw, James R. Lupski, Anna Gambin, Sau Wai Cheung, Pawel Stankiewicz
Target Audience:
Medical and clinical geneticists, researchers in genomic disorders
Period of Action:
N/A
Approval Date:
N/A
Date of Modifications:
N/A
Note:
Year
Topic:
Genetic Variants, Alzheimer Disease, Arab Countries
Document Type:
Systematic Review
Institution:
Qatar University
Author:
Hissa Faleh Al-Thani, Muneera Naseer Ahmad, Salma Younes, Hatem Zayed
Target Audience:
Researchers, Healthcare Professionals