Breaking Through RT-qPCR Boundaries in Gene Expression Analysis

Breaking Through RT-qPCR Boundaries in Gene Expression Analysis

Labroots via YouTube Direct link

Intro

1 of 27

1 of 27

Intro

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Breaking Through RT-qPCR Boundaries in Gene Expression Analysis

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  1. 1 Intro
  2. 2 Webinar Outline
  3. 3 Reverse Transcription Basics
  4. 4 Quantitative Reverse Transcription Polymerase Chain Reaction (RT-qPCR)
  5. 5 RT-qPCR Workflow
  6. 6 Reverse Transcription Components
  7. 7 Reverse Transcriptase Considerations
  8. 8 Reverse Transcriptase Attributes: RNase H Activity
  9. 9 Reverse Transcriptase Attributes: Thermostability
  10. 10 Reverse Transcriptase Attributes: Processivity
  11. 11 Reverse Transcriptase Attributes: Sensitivity
  12. 12 Reverse Transcriptase Attributes: Inhibitor Tolerance
  13. 13 How to Choose a Reverse Transcriptase?
  14. 14 Working with Challenging/Suboptimal RNA Samples
  15. 15 Detection of Low-input RNA and/or Low-abundance Genes
  16. 16 Working with Limited Sample Sources
  17. 17 Samples with High Structural Complexity
  18. 18 Working with (Archived) Tissue Samples: FFPE
  19. 19 Working with (Archived) Tissue Samples: Blood
  20. 20 Working with Plant Samples: Challenges
  21. 21 Working with Plant Samples: Inhibition
  22. 22 Difficult RNA Samples
  23. 23 Genomic DNA Contamination
  24. 24 gDNA Removal with DNases
  25. 25 gDNA Removal with ezDNase Enzyme
  26. 26 Conclusion
  27. 27 Thank You for Attending the Webinar

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