Главная
Study mode:
on
1
Intro
2
Webinar Outline
3
Reverse Transcription Basics
4
Quantitative Reverse Transcription Polymerase Chain Reaction (RT-qPCR)
5
RT-qPCR Workflow
6
Reverse Transcription Components
7
Reverse Transcriptase Considerations
8
Reverse Transcriptase Attributes: RNase H Activity
9
Reverse Transcriptase Attributes: Thermostability
10
Reverse Transcriptase Attributes: Processivity
11
Reverse Transcriptase Attributes: Sensitivity
12
Reverse Transcriptase Attributes: Inhibitor Tolerance
13
How to Choose a Reverse Transcriptase?
14
Working with Challenging/Suboptimal RNA Samples
15
Detection of Low-input RNA and/or Low-abundance Genes
16
Working with Limited Sample Sources
17
Samples with High Structural Complexity
18
Working with (Archived) Tissue Samples: FFPE
19
Working with (Archived) Tissue Samples: Blood
20
Working with Plant Samples: Challenges
21
Working with Plant Samples: Inhibition
22
Difficult RNA Samples
23
Genomic DNA Contamination
24
gDNA Removal with DNases
25
gDNA Removal with ezDNase Enzyme
26
Conclusion
27
Thank You for Attending the Webinar
Description:
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Explore the intricacies of RT-qPCR in gene expression analysis through this 45-minute webinar presented by Jennifer Sandoval, M.S., a Technical Scientist at Thermo Fisher Scientific. Delve into the critical aspects of the RT-qPCR workflow, including RNA isolation and reverse transcription, and their impact on accurate gene expression quantitation. Learn about reverse transcriptase attributes, such as RNase H activity, thermostability, processivity, sensitivity, and inhibitor tolerance. Discover strategies for working with challenging RNA samples, including low-input RNA, limited sample sources, and samples with high structural complexity. Address common issues like genomic DNA contamination and explore solutions for various sample types, including archived tissue, blood, and plant samples. Gain valuable insights to optimize your RT-qPCR experiments and push the boundaries of gene expression analysis.

Breaking Through RT-qPCR Boundaries in Gene Expression Analysis

Labroots
Add to list