Registration for a live webinar on 'Innovative Vaccines and Viral Pathogenesis: Insights from Recent Monkeypox (Mpox) Research' is now open.
See webinar detailsWe noted you are experiencing viewing problems
-
Check with your IT department that JWPlatform, JWPlayer and Amazon AWS & CloudFront are not being blocked by your network. The relevant domains are *.jwplatform.com, *.jwpsrv.com, *.jwpcdn.com, jwpltx.com, jwpsrv.a.ssl.fastly.net, *.amazonaws.com and *.cloudfront.net. The relevant ports are 80 and 443.
-
Check the following talk links to see which ones work correctly:
Auto Mode
HTTP Progressive Download Send us your results from the above test links at access@hstalks.com and we will contact you with further advice on troubleshooting your viewing problems. -
No luck yet? More tips for troubleshooting viewing issues
-
Contact HST Support access@hstalks.com
-
Please review our troubleshooting guide for tips and advice on resolving your viewing problems.
-
For additional help, please don't hesitate to contact HST support access@hstalks.com
We hope you have enjoyed this limited-length demo
This is a limited length demo talk; you may
login or
review methods of
obtaining more access.
Printable Handouts
Navigable Slide Index
- Introduction
- RNA interference mechansm (1)
- siRNA walks
- Analysis of siRNA primary functionality
- GAPDH walks
- Stability profiles for the 360 siRNA panel
- Bias in the siRNA selected from long dsRNA
- Stability profiles of siRNAs derived from dsRNA
- Stability of siRNA affects strands entry into RISC
- Effect of thermodynamic bias on siRNA activity
- RNAi mechanism
- siRNA activity predicted by an algorithm
- Rational siRNA design: validation and applications
- Specific and non-specific gene expression effects
- RNA interference mechanism (2)
- Concentration effects on target/off-target activity
- What can we do about off-target effects of siRNAs?
- Smith-Waterman based evaluation
- Prediction of experimentally confirmed off targets (1)
- Prediction of experimentally confirmed off targets (2)
- miRNA targeting
- Hexamer matches in 3'UTR
- Heptamer matches in 3'UTR
- 3' UTR length bias
- No seed relationship outside 3' UTR
- Bioinformatics for off-target prediction
- What can we do about off-target effects of siRNAs?
- Pooling siRNAs minimize off-target signatures
- Functional consequences
- Random functional siRNAs affect cell viability
- siRNA toxicity is on-target silencing independent
- Non-target siRNA toxicity induces apoptosis
- siRNA toxicity is RISC dependent
- The next generation of siRNA
- On-target plus enhances the signal-to-noise ratio
- Off-targeting activity eliminates siRNA toxicity
- siRNA specificity
- siRNA walks: siRNA functionality and toxicity
- Sequence specific siRNA toxicity (1)
- Sequence specific siRNA toxicity (2)
- Toxic and non-toxic siRNA sequences data base
- RISC active strand motifs
- Summary
- Acknowledgments
Topics Covered
- siRNA target and off-target activity
- Systematic analysis of siRNA primary function
- Effect of thermodynamic bias on siRNA activity
- Development of predictive algorithms for siRNA primary activity
- Specific and non-specific siRNA activity
- siRNA off-targeting and miRNA mechanism
- Bioinformatics in off-target prediction: seed recognition
- siRNA off-targeting impact on RNAi applications
- siRNA toxicity
- siRNA specificity
Talk Citation
Khvorova, A. (2016, January 28). siRNA on and off-target [Video file]. In The Biomedical & Life Sciences Collection, Henry Stewart Talks. Retrieved November 23, 2024, from https://doi.org/10.69645/UVPW2093.Export Citation (RIS)
Publication History
Financial Disclosures
- Prof. Anastasia Khvorova has not informed HSTalks of any commercial/financial relationship that it is appropriate to disclose.
siRNA on and off-target
A selection of talks on Genetics & Epigenetics
Transcript
Please wait while the transcript is being prepared...
0:00
Today, I would like to talk about siRNA on and off-target activity.
0:07
When double stranded RNA is introduced into
the cells with a so natural Drosha/Dicer independent pathway,
or artificially cell introduction of chemicals synthesize dsRNAs,
it needs to be processed and enter in very complex protein complex called RISC.
As there is multiple forms of RISC available.
What is most important to understand that it's not a form of a RISC complex,
but rather in degree complementarity between siRNA loaded RISC complex and a target,
which defined mechanism of action.
If it's perfect complementarity,
the target is being cleaved and this is we will call
for purpose of today presentation, on target activity.
And then partial complementarity especially multiple partial
complementarity within other genes resulting translational inhibition,
and recently has demonstrated some mRNA degradation as well.
So first, I would like to focus on sRNA on target activity where perfect homology
between loaded RISC complex and a target result in cleavage mRNA and Gene Silencing.
1:19
As siRNA function is defined by complex interaction with a protein machinery,
it's possible to speculate that
there might be some features within siRNA which makes
it interact better with a protein machinery and function better.
To be able to identify those features,
we realize that we need to have unbiased database,
where siRNA sequence is correlate or
correlated with siRNA functionality inside of cells.
And to be able to develop this completely unbiased database,
we decided to use an approach which called siRNA walking.
So, what is siRNA walks?
SiRNA walks is a collection or sets of siRNAs which
overlap in their sequence composition by 18 out of 19 base pairs.
So, we just shift siRNA targeting position one base pair at a time.
What we can see on this slide is systematic analysis of siRNA functionality,