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A Web-based Software Tool for Designing Small Interface RNA Blake Adams Graduate Student Department of Computer Science Advisor: Dr. Muhammad A. Rahman

A Web-based Software Tool for Designing Small Interface RNA Blake Adams Graduate Student Department of Computer Science Advisor: Dr. Muhammad A. Rahman

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Page 1: A Web-based Software Tool for Designing Small Interface RNA Blake Adams Graduate Student Department of Computer Science Advisor: Dr. Muhammad A. Rahman

A Web-based Software Tool for Designing Small Interface RNA

Blake AdamsGraduate Student

Department of Computer ScienceAdvisor: Dr. Muhammad A. Rahman

Page 2: A Web-based Software Tool for Designing Small Interface RNA Blake Adams Graduate Student Department of Computer Science Advisor: Dr. Muhammad A. Rahman

Overview

• Central Dogma of Molecular Biology• Gene Silencing• siRNA• P2X3• Rational Design• Thermodynamics• Web-based Interface Demonstration• Q&A

Page 3: A Web-based Software Tool for Designing Small Interface RNA Blake Adams Graduate Student Department of Computer Science Advisor: Dr. Muhammad A. Rahman

DNA and RNA

• DNA– Double Helix– adenine ,guanine,

cytosine,thymine – Sugar is deoxyribose. – Mainly acts as a set of

directions

• RNA– Single Strand– Uracil replaces thymine– Sugar is ribose– Can take on several

different roles

Page 4: A Web-based Software Tool for Designing Small Interface RNA Blake Adams Graduate Student Department of Computer Science Advisor: Dr. Muhammad A. Rahman

The Central Dogma of Molecular Biology

• DNA contains the complete genetic information that defines the structure and function of an organism

• Proteins are formed using the genetic code of the DNA

• Different processes are responsible for the inheritance of genetic information and for its conversion from one form to another

• Replication : a double stranded nucleic acid is duplicated to give identical copies. This process perpetuates the genetic information.

• Transcription : a DNA segment that constitutes a gene is read and transcribed into a single stranded sequence of RNA. The RNA moves from the nucleus into the cytoplasm.

• Translation : the RNA sequence is translated into a sequence of amino acids as the protein is formed. During translation, the ribosome reads three bases (a codon) at a time from the RNA and translates them into one amino acid

Page 5: A Web-based Software Tool for Designing Small Interface RNA Blake Adams Graduate Student Department of Computer Science Advisor: Dr. Muhammad A. Rahman

Genetic Disorders

A genetic disorder is a disease caused by abnormalities in an individual’s genetic material (genome). There are four different types of genetic disorders:

1. single-gene - cystic fibrosis, sickle cell anemia, Huntington’s disease.

2. Multifactorial - heart disease, high blood pressure, arthritis, diabetes, cancer, and obesity.

3. Chromosomal - Down syndrome

4. Mitochondrial – Alzheimer’s disease

Page 6: A Web-based Software Tool for Designing Small Interface RNA Blake Adams Graduate Student Department of Computer Science Advisor: Dr. Muhammad A. Rahman

Gene Silencing

• Targeting or interfering with a specific gene and preventing its expression (in other words, preventing it from leading to a protein.)

• One method for silencing these genes is RNA interference…

Page 7: A Web-based Software Tool for Designing Small Interface RNA Blake Adams Graduate Student Department of Computer Science Advisor: Dr. Muhammad A. Rahman

What is RNA Interference?

A phenomenon in which the introduction of double-stranded RNA into a cell causes degradation of the complementary mRNA. Since the mRNA becomes degraded, it is no longer capable of translating the data recorded from DNA, thus the gene is no longer producing it’s unique protein, and it’s effect is silenced.

Page 8: A Web-based Software Tool for Designing Small Interface RNA Blake Adams Graduate Student Department of Computer Science Advisor: Dr. Muhammad A. Rahman

siRNA Mechanism

• 2 Step Process

1. Initiation• Generation of siRNA

snippets

2. Effector• Degradation of target

mRNA

Page 9: A Web-based Software Tool for Designing Small Interface RNA Blake Adams Graduate Student Department of Computer Science Advisor: Dr. Muhammad A. Rahman

Initiation Step

DICERDICER

Double Double Stranded RNAStranded RNA

siRNAsiRNA

Page 10: A Web-based Software Tool for Designing Small Interface RNA Blake Adams Graduate Student Department of Computer Science Advisor: Dr. Muhammad A. Rahman

Effector StepsiRNAsiRNA RNA InducedRNA Induced

Silencing Silencing Complex (RISC)Complex (RISC)

Page 11: A Web-based Software Tool for Designing Small Interface RNA Blake Adams Graduate Student Department of Computer Science Advisor: Dr. Muhammad A. Rahman

History of siRNA

• 1995 – Gou & Kemphues notice gene silencing effect during an experiment with Caenorhabditis elegans. They do not know why it is occurring but make note of the phenomenon

• For the next 3 years: “The basis of the sense effect is under investigation…”

• 1998 – Fire & Mello verify silencing of C. elegans “a few dsRNA molecules are sufficient to silence the homologous gene’s expression.”

Page 12: A Web-based Software Tool for Designing Small Interface RNA Blake Adams Graduate Student Department of Computer Science Advisor: Dr. Muhammad A. Rahman

My Interest in gene silencing

• Bioinformatics – Fall 2004

• siRNA sequences are collected from relevant papers.

• A scoring algorithm is developed based on prevailing design standards and techniques.

• The scoring system is incorporated into a perl program designed to score siRNAs.

Page 13: A Web-based Software Tool for Designing Small Interface RNA Blake Adams Graduate Student Department of Computer Science Advisor: Dr. Muhammad A. Rahman

P2X3 – A gene silencing example

• “siRNA relieves chronic neuropathic pain”– Gabriele Dorn et al, Nucleic Acids Research, March 2004.

• P2X3 – is a gene present in the Rattus norvegicus genome (rat) that plays a role in neuropathic pain (e.g. Arthritis).

• Development and injection of an effective siRNA caused subjects suffering from Arthritis (identified by frequency of paw-licking) to lick paws less often and urinate with less frequency leading the researchers to conclude that silencing P2X3 has not only a significant effect on Arthritis but could also be used as a treatment for incontinence.

Page 14: A Web-based Software Tool for Designing Small Interface RNA Blake Adams Graduate Student Department of Computer Science Advisor: Dr. Muhammad A. Rahman

siRNA – Good Design

• Any given gene can be thousands of nucleotides in length.– What segment should be targeted?

• Cost of purchasing siRNA to use in wet lab after design is quite high, a single sample can cost as much at $1000.

• Time investment by scientists is increased for each unsuccessful siRNA used.

Page 15: A Web-based Software Tool for Designing Small Interface RNA Blake Adams Graduate Student Department of Computer Science Advisor: Dr. Muhammad A. Rahman

Rational Design• Reynolds, A. et al.(2004) Nature Biotechnology

22, 326-330• Lays out 8 key factors that significantly

improve the probability of selecting functional siRNA sequences

1. 30 % - 52% G/C Content

2. Three or more A/U’s at Positions 15-19 (sense)

3. Absence of internal repeats

4. A at position 19 of the sense strand

5. A at position 3 of the sense

6. U at position 10 of the sense

7. No G/C at position 19 of the sense

8. No G at position 13 of the sense.

Page 16: A Web-based Software Tool for Designing Small Interface RNA Blake Adams Graduate Student Department of Computer Science Advisor: Dr. Muhammad A. Rahman

Thermodynamics• Recent experimental evidence indicates that the two

strands in the siRNA duplex do not enter into the RISC equally

• The less stable 5’ end (of the sense OR antisense) in the siRNA duplex directs the strand to enter into the RISC complex.

• Two recently published papers by Schwartz, et al. (Asymmetry in the assembly of the RNAi enzyme complex) and Khvorova et at (Functional siRNAs and miRNAs exhibit strand bias) demonstrate that it is the antisense strand of the siRNA that must bind to the RISC complex AND that energy differences between the sense and antisense (sense energy – antisense energy) tend to favor the sense when the outcome is positive. It is therefore favorable to select a sequence with a negative differential.

Page 17: A Web-based Software Tool for Designing Small Interface RNA Blake Adams Graduate Student Department of Computer Science Advisor: Dr. Muhammad A. Rahman

Calculating a Thermodynamic Score

• Thermodynamic parameters have been established and reported Xia et al. (Biochemistry 1998, Thermodynamic Parameters for an Expanded Nearest-Neighbor Model for Formation of RNA Duplexes with Watson-Crick Base Pairs)

• For a given set of Neighbors in a sequence such as AG, there is an established energy value (-2.08). Each possible combination of AGTC (20 in total) has a fixed energy value. Dangling nucleotides also have fixed energy values.

• A scoring system developed by Yuan et al. (Nucleic Acids Research 2004, siRNA Selection Server: an automated siRNA oligonucleotide prediction server) establishes a system based on these values to determine the Energy score of the sense and antisense strand of a given siRNA strand

Page 18: A Web-based Software Tool for Designing Small Interface RNA Blake Adams Graduate Student Department of Computer Science Advisor: Dr. Muhammad A. Rahman

Calculating a Thermodynamic Score (continued)

1. Develop 2 models based on a given target strand:5’ AA AGTCACCGTCAAGGTGTAT TT 3’3’ TT TCAGTGGCAGTTCCACATA AA 5’The 2 models will represent the sense and the antisense of the siRNA.

2. The first model combines the first 5 nucleotides of the 5’ end of the sense with the last 5 nucleotides of the 3’ end of the antisense and incorporates a 3’ dangling nucleotide from the antisense. The second model repeats this process for the 5’ end of the antisense and 3’ end of the sense. Given the above example”

• SENSE:• 5’ AGUCA3’• 3’U UCAGU5’

• ANTISENSE• 5’ AUACA3’• 3’UUAUGU5’

Page 19: A Web-based Software Tool for Designing Small Interface RNA Blake Adams Graduate Student Department of Computer Science Advisor: Dr. Muhammad A. Rahman

Calculating a Thermodynamic Score (continued)

• SENSE:• 5’ AGUCA3’• 3’U UCAGU5’

• ANTISENSE• 5’ AUACA3’• 3’UUAUGU5’

3. The thermodynamic score of the 4 nearest neighbors (based on Watson-Crick Nearest Neighbor method) are added to the thermodynamic score of the Dangling 3’ overhang.

• SENSE: AG =-2.08, GU =-2.24, UC=-2.35, CA=-2.11, _A = -.10 • (-2.08) + (-2.24) + (-2.35) + (-2.11) + (-0.1) = -8.88• ANTISENSE: AU=-1.10, UA =-1.33, AC=-2.24, CA=-2.11, _A = -.10 • (-1.10) + (-1.13) + (-2.24) + (-2.11) + (-0.1) = -6.88

4. Thermodynamic Score is the difference of the energy of the 5’ sense and the 5’ antisense.

• -8.88 – (-6.88) = -2.00

Page 20: A Web-based Software Tool for Designing Small Interface RNA Blake Adams Graduate Student Department of Computer Science Advisor: Dr. Muhammad A. Rahman

Demonstration

• Web-based siRNA Design Tool

Page 21: A Web-based Software Tool for Designing Small Interface RNA Blake Adams Graduate Student Department of Computer Science Advisor: Dr. Muhammad A. Rahman

Acknowledgements

• Dr Muhammand A Rahman – Assistant Professor, University of West Georgia

• Bingbing Yuan – MIT, Whitehead Biocomputing Group

• Michael Duong – McMaster University