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RNAÂ
The work hourse of nucleic acids (since DNA only stores info, RNA has to do everything else)
RNA does not just float around, it ____
FoldsÂ
Different RNA bonds
It has an extra H-bond between GU, and then the regular AU and GC.Â
RNA can form…
Secondary and tertiary structures
RNA can fold into _____ ways
DifferentÂ
Why should we care about the folding of RNA?
They cannot function properly unless they fold properly
Different ways RNA folding is involved in gene regulation
1.) Transcriptional and translational stop
2.) Speed of translation
3.) Riboswitches
4.) RibozymesÂ
Transcriptional and translational stop in RNAÂ
It forms a loop, which acts as a stop signal to stop transcription or translation
Speed of translation (complex folds)
mRNA have complex folding patterns, which regulates how fast the mRNA is translated and how fast the peptides fold
Riboswitches
Involves metabolites, as well as small RNAs like miRNAs and siRNAs, which can inhibit translation from occuring
Ribozymes
They are not built into the sequence for regulation, but instead for catalytic activityÂ
RNA worldÂ
Proposes that RNA came first and DNA came later
Rfam databaseÂ
It curates different types of RNA molecules and allows us to see which RNA family they belong to, as well as what function they may have
Small noncoding RNAs (examples)
1.) siRNAÂ
2.) miRNA
3.) PIWI piRNAÂ
siRNAs
Small interferring RNAs derived from double stranded RNA (transcribed from a target gene) and is a perfect match to the mRNA or target RNAÂ
miRNAs
1.) Encoded by miRNA genesÂ
2.) They are invovled in translation suppression and mRNA decay
miRNA matching mRNAs
They do not need to be a perfect match, therefore one miRNA can target several mRNA
PIWI piRNAÂ
A type of rasiRNA (repeat associated small interfering RNAs), which is RNA derived from repeat rich or transposon rich regions of the genome
PIWI piRNA function
Supresses gene expression in germ line tissue
Function of siRNA and miRNAs
1.) Protects you from viruses
2.) Knock down genes (inactivate)
In order to identify ribozymes from linear sequences, you have to…
Fold itÂ
Vienna notation
A way of annotating RNA sequences, to show how they foldÂ
Vienna notation components
() = base pairingÂ
….. = loops
---- = insertions/delection (or missing data)Â
RNA is assigned to RNA families based on…
Folding patternsÂ
Predicting RNA folding patterns process
Find base pairs along the string that are correct or optimal, by maximizing hydrogen bonding between base pairs and minimizing free energy (based on best overall free energy state)
What's the problem with the strategy of maximizing H-bodning and minimizing free energy?
You get multiple possible structures, therefore you may need to do some manual adjustmentsÂ
New generation of programs that looks at RNA folding
In addition to maximizing H-bonding and minimizing free energy, they are using covariance analysis, which uses models to determine what RNA molecules may look like
What is GALAXY?
It does things that are related to 'omics
GALAXY sites
It has several sites across the world, the best being the European and French sites, and the worst being the main American site
RNA centralÂ
Still in its early stages, but it has various tools that allows you to explore RNA moleculesÂ
R2DT
It takes a sequence and folds it based on a template you give itÂ
Comparative RNA website (CRW)
1.) Very old
2.) Does not have tools embedded in it
3.) It allows you to download things onto the database, but it can't do anything with it since it has no tools
CRW vs. RNA centralÂ
1.) RNA central has tools embedded in it, as well as databases you can upload your information into
2.) CRW only allows you to upload you dataÂ
Potential problem with R2DT
Still have to manually check what you get back because it will have certain biases, such that it may miss some unique structures that are less common or that are not present in the templateÂ
Rfam also has access to…
R2DT (because it is embedded within RNA central, despite being an independant website)
Rfam also has something more advanced…
Infernal, which looks at folding possibilities using a probability criteria, based on covariance modelsÂ
Mfold is now known asÂ
UNAfoldÂ
UNAfold/Mfold
The grand program that started RNA folding, as it predicts RNA and DNA secondary structures using nearest neighbour thermodynamic rulesÂ
What UNAfold take into account when making predictionsÂ
1.) H-bonding
2.) Van der waals interactionsÂ
3.) Hydrophobic regionsÂ
UNAfold assumption about predictions
1.) Nucleic acids form a helical configuration and like to be double stranded
2.) Base pairs like to stack on top of each otherÂ
Creator of MfoldÂ
Michael Zuker
Warning when using UNAfolderÂ
1.) The predicted structure may not be the actual biological structure
2.) May get back many structures that are thermodynamically possibleÂ
Conditions that can be modified in UNAfold
1.) Temp
2.) pH
3.) Salt concentrations
Pseudoknots
It's when a region of the RNA molecule interacts with another region further down on the same molecule
UNAfold can't predict…
PseudoknotsÂ
Why do we care about pseudoknots
1.) Sometimes embedded in transcripts, therefore it can play a part in gene regulation
2.) It can form the catalytic sites of ribozymes
3.) It can promote frame-shifting, such that it causes ribosomes to skip a nucleotide
""
One arc of interactions overlap with another arc of interactions, which is what RNA folding tools struggle with
What strategy is usually used when using UNAfoldÂ
1.) Analyze the sequence in small segments and check literature for known structures
2.) Don't be afraid to fold by hand
3.) Note that some long-range interactions may be missed by the program (unless you set it as a “constraint”)
Constraint
It's when you tell the UNAfold program what you already know about the molecule and its structure, which allows you to narrow down the amount of output it generates
Sequence format used in UNAfoldÂ
You can use FASTA format with RNA and even DNA, as it will autimatically convert it into an RNA sequence
ITS sequences
Internal transcribed spacer sequences, which separate the 5.8S rRNA gene from the rRNA genes of SSU and LSU
Are spacers introns?
Even though they are removed during processing, they are not considered introns since they do not get spliced out
How are ITS sequences removed
They are removed by specific enzymesÂ
ITS folded structure
It forms a hairpin
Why are ITS regions important
It brings the rRNA genes together, allowing them to be readily removedÂ
Conservation of ITS sequences
Their sequences are highly variable across species (i.e. not conserved), buts hairpin structure is highly conserved
The constraints you give UNAfold are based on…
Based on comparative analyses on other structures
Circular structure plot
Just another way of visualizing your RNA structure
RNA structure logo (requirements)
1.) Need an alignment of multiple sequences
2.) Have to know a little about the molecule you're working on
3.) The alignment must be coded in the Vienna notation
RNA structure logos show a lot of…
It shows a lot of variability, usually due to compensatory mutationsÂ
Compensatory mutations representation in RNA structure logosÂ
"It shows an MÂ "
Compensatory mutations in RNA
A change in one position causes a change in another position, in order to maintain an interaction between the two positions
"Upside down letters"
It means they appear less frequently than expected in the alignmentÂ
Mutual information theory
Looks at mutual dependence between variables (can be linear or non-linear dependence) and tries to quantify the amount of information you can conclude from one variable by looking at the other variableÂ
Mutual information theory in simple terms
What can you conclude about Y, based on what happened to X?
What was observed in the structure logo of the rDNA ITS sequences
1.) They always form a hairpin
2.) There are quite a few parts that are highly conserved
Compensatory substitutions in RNA occur due to..
Functional/structural constraints
Observation in the rDNA ITS phylogenetic tree
It was observed that the sizes of ITS1 evolved along with ITS2, such that when a change in the size of ITS1 was observed, a change also occured in the size of ITS2Â
Overall observations when looking at ITS sequences
1.) IST1 and 2 coevolve in regards to size
2.) Conservation of the structure is supported by compensatory substitutions
Application of studying ITS sequences
It helps understand the function of ITS, allowing us to assess the utlity of ITS regions for molecular taxonomyÂ
Stockholm formatÂ
1.) Format being used for RNA alignments in newer tools, including Rfam
2.) It shows annotation features along the alignment
Features have to be added in the stockholm format _______
ManuallyÂ
InfernalÂ
A program that uses structural annotated RNA alignments to develop covariance models, which can then be used to search genomes for RNAÂ elements, based on recognizing RNA foldsÂ
Infernal when looking at non-coding RNAs
The primary sequence conservation is low, but there is conservation at the structural level
Covariance is a measure of _______ ___________ between two random variables
Linear dependenceÂ
How does infernal work
1.) Align sequences and find potential H-bonding interactionsÂ
2.) Look for covariation
What is covariation?
It's similar to compensatory substitutions, such that covariance analysis is optimized for looking at compensatory eventsÂ
Compensatory substitutions/covariation is what allows RNA families to be highly _ in sequences
DiverseÂ
Infernal/covariation analysis basically assesses your alignment for…
Compensatory changes
Compensatory subsitutions are informative with regards to _
StructuresÂ
RNA folding programs (other than UNAworld)
RNA structureÂ
RNA structureÂ
1.) User friendly
2.) Claims to do pseudoknots
3.) Uses alignment to generate structures
RNAstrcuture is linked to…
Matthews lab, which has all kinds of RNA web servers that it is connected to
Problem with RNAstructure
1.) Formatting is an issue
2.) It can't have any non-nucleotide characters, such as numbers
3.) The upper and lower case letters have meaningÂ
Upper and lowercase letter meanings in RNAstructure
Upper = Not folded/single stranded
Lower = Folded
UNAfold vs. RNAstructure
Format it not a problem in UNAfold, but it is in RNAstructure
RNAstructure works better if…
If you already have an alignment available for the gene of interest, as the program can use that info to asssist in folding
ViennaRNA web services
1.) Predominant in Europe
2.) Provides a list of tools
3.) Best place to start if you want to fold RNA molecules
ViennaRNA vs. RNAstructure
ViennaRNA is better
ViennaRNA and UNAfold
They are similar, in that it folds RNA molecules, but allows you to add in constraints
DrFORNA
A good visualization tool for the folding of an RNA molecule, embedded within ViennaRNA
DrFORNA is better when..
1.) When you have a smaller molecule
2.) Unless, you have already have a defined folding pattern that was done in another program, and you want to use this program to get better visualization
Jalview
1.) Free
2.) Updated and curated
3.) Has lots of fundamental tools to deal with DNA, RNA, and proteins
4.) Is linked to other sites
5.) User-friendly