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Explore the fascinating world of RNA folding and its implications in cellular functions with this lecture on self-assembly in nucleic acids, DNA, and RNA folding. Learn about the primary and secondary structures of RNA, base-pairing, RNA's role in the central dogma, different types of non-coding RNA, RNA structure motifs, and the importance of RNA folding predictions. Discover how RNA folding can predict function and understand the influence of ions on RNA folding kinetics.
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Self-Organizing Bio-structures NB2-2009 L.Duroux
Lecture 3 Self-Assembly in nucleicacids
What is RNA? • Aside of being DNA’s “messenger”, RNA performs functions itself • RNA secondary structure is related to mRNA stability & RNA functions • RNA folding can be predicted & the effects of mutations modeled
RNA Primary Structure (-e) Structure of RNA backbone 5' (-e) (-e) (-e) 3' • RNA chain directionality: 5'3' • Backbone carries charge (-e) on each nucleotide • Formation of an RNA structure requires cations
Four Types of Bases Adenine (A) Uracil (U) Guanine (G) Cytosine (C) Purines Pyrimidines
Watson-Crick canonical base pair Base-Pairing: a famous case of molecular self-assembly A U C G
The Central Dogma transcription splicing mRNA tRNA translation ribosome DNA pre mRNA mRNA protein
RNAs are Critical to Cellular Functions • Messenger RNA (mRNA) • codes for protein • Small nuclear RNAs (snRNA) • splice mRNA in nucleus • Transfer RNA (tRNA) • carries amino acid to ribosome • Ribosomal RNA (rRNA) • is the integral part of the ribosome • Small interfering RNA (siRNA) • mRNA turn-over, defense mechanism • Micro RNA (miRNA) • Gene expression regulation
Some biological functions of non-coding RNA • snRNA: RNA splicing, telomere maintenance, transcription regulation • miRNA: translational control (down regulation) • siRNA: RNA interference, gene specific down regulation • Guide RNAs: RNA editing (mitochondria protozoa) • Ribozymes: Catalysis in ribozomes • The function of the RNA molecule depends on its folded structure
The RNA Helix ssRNA forms A-helix: Grooves Binding sites
RNA secondary structure • Defined by base-pairing • Form short helical structures U
Torsion Angles define 3D structure P O c c c O P each bond ~ 1.5 Å nucleotide structure We need 7 torsional angles per nucleotide to specify the 3D structure of an RNA
RNA specific folds • The RNA molecule folds on itself. • The base pairing is as follows: G C A U G U hydrogen bond LOOP U U C G U A A U G C 5’ 3’ 5’ 3’ G A U C U U G A U C STEM
RNA Secondary Structure Motifs Pseudoknot Stem Interior Loop Single-Stranded Bulge Loop Junction (Multiloop) Hairpin loop Image– Wuchty
Secondary structure motifs and symbols Secondary Structure Contact (Base Pair) Tertiary Structure Contact (Base Pair)
RIBOZYMES • Catalytic RNA • Can work alone (Mg2+) or with proteins • Therapeutic applications?
Control of ironlevels by mRNA secondary structure Iron Responsive Element (IRE) on mRNA G U A G CN N N’ N N’ N N’ N N’ C N N’ N N’ N N’ N N’ N N’ conserved Recognized by Iron Responsive Protein (IRP1, IRP2) when Fe deficiency 5’ 3’
Low Iron IRE-IRP inhibits translation of Ferritin IRE-IRP Inhibition of degradation of TR High Iron IRE-IRP off -> Ferritin translated Transferrin receptor degraded F: Ferritin = iron storage TR: Transferrin receptor = iron uptake IRP1/2 IRE 3’ 5’ F mRNA IRP1/2 3’ TR mRNA 5’
Structure-based similarity H H St St I1 I1 B B I2 I2 Sequence Similarity %ID = 34% gurken AAGTAATTTTCGTGCTCTCAACAATTGTCGCCGTCACAGATTGTTGTTCGAGCCGAATCTTACT 64 Ifactor ---TGCACACCTCCCTCGTCACTCTTGATTTT-TCAAGAGCCTTCGATCGAGTAGGTGTGCA-- 58 ** *** ** *** *** * * ***** * * Structural Similarity I Factor : (retrotransposon) 58nt stem loop Gurken : (miRNA controlling development) 64nt stem loop
Goal:To predict function of an RNA from itssequence from: structure stability folding kinetics RNA folding predictions Ultimate goal:To predict RNA function from itssequence
Folding Free Energy of Secondary Structure Folding free energy: ΔG = G ( secondary structure) - G ( ) ΔG = ΔH – T ΔS
Applications for RNA folding predictions • Explain why non-(protein) coding regions are conserved • Viral RNA packing inside capsid • Prediction of functional RNAs • Identify similarity, not by sequence but by structure
Why Study RNA Folding Kinetics? B A conversion is slow as compared with the translational process Conformation B is kinetically trapped. Kinetics is tied to Function
H2O and metal ions are integral parts of nucleic acid structure
[Na+] stabilizes secondary structure From Tinoco & Bustamante,JMB (1999) 273,271 • [Na+] by 10 folds Tm by 3.8 C
Multivalent Ions Stabilize Tertiary Fold Pseudoknot
[Mg2+] Stabilization Na+ = 200mM + 50 From Tinoco & Bustamante,JMB (1999) 273,271
RNA folding kinetics strongly depends on ions Na+ Secondary structure Mg2+ Tertiary structure Metal ion binding sites can be formed before, during, or after the formation of the tertiary structure
Advantages to Double Helix • Stability---protects bases from attack by H2O soluble compounds and H2O itself. • Provides easy mechanism for replication
Formal geometrical models for describing shape of Helix • Allows for molecular modeling based on primary structure • Based on Free-energy computations and minimization algorithms • Useful to predict impact of sequence composition or mutations (non-canonical base-pairing) on helical structure
Parameters that define base pairs 3DNA (v1.5) — A 3-Dimensional Nucleic Acid Structure Analysis and Rebuilding Software Package Xiang-Jun Lu, Wilma K. Olson
Parameters that define sequential base pair steps 3DNA (v1.5) — A 3-Dimensional Nucleic Acid Structure Analysis and Rebuilding Software Package Xiang-Jun Lu, Wilma K. Olson
Parameters that relate base pair to the helical frame 3DNA (v1.5) — A 3-Dimensional Nucleic Acid Structure Analysis and Rebuilding Software Package Xiang-Jun Lu, Wilma K. Olson
Physical Structure (cont’d) • Chains are anti-parallel (i.e in opposite directions) • Diameter and periodicity are consistent • 2.0 nm • 10 bases/ turn • 3.4 nm/ turn • Width consistent because of pyrimidine/purine pairing
G-C Content • A=T, G=C, but AT≠GC • Generally GC~50%, but extremely variable • Examples: • Slime mold~22% • Mycobacterium~73% • Distribution of GC is not uniform in genomes