Annotated tertiary interactions in RNA structures reveal new - - PowerPoint PPT Presentation

annotated tertiary interactions in rna structures reveal
SMART_READER_LITE
LIVE PREVIEW

Annotated tertiary interactions in RNA structures reveal new - - PowerPoint PPT Presentation

Annotated tertiary interactions in RNA structures reveal new interactions and composite motifs Christian Laing Tamar Schlicks lab Courant Institute of Mathematical Sciences Department of Chemistry New York University RNA folding is


slide-1
SLIDE 1

Annotated tertiary interactions in RNA structures reveal new interactions and composite motifs

Christian Laing Tamar Schlick’s lab Courant Institute of Mathematical Sciences Department of Chemistry New York University

slide-2
SLIDE 2

RNA folding is hierarchical

5‘gGACUCG GGGUGCCC UUCUGCGU GAAGGCUG AGAAAUAC CCGUAUCA CCUGAUCU GGAUAAUG CCAGCGUA GGGAAGUU c3'

Sequence Secondary Structure 3D Structure Annotated diagram

  • Tertiary motifs serve as modular building blocks in the

RNA architecture.

  • To understand the role of RNA tertiary motifs in RNA

folding will help to understand RNA 3D prediction.

TPP riboswitch (PDB: 2GDI)

slide-3
SLIDE 3

RNA tertiary motifs

HIV-1 fragment (PDB: 1ZCI) JMB V.356 771 (2006) Viral pseudoknot (PDB: 1L2X) PNAS USA V.99 4302 (2002)

Kissing hairpin Coaxial helix Pseudoknot

slide-4
SLIDE 4

Annotating 3D RNA

  • Selected seven key RNA tertiary motifs:

coaxial helix, A-minor motif, ribose zipper, tetraloop-tetraloop receptor, pseudoknot, kissing hairpin, and tRNA D-loop:T-loop.

  • Searched RNA tertiary motifs via different

computer programs

  • Annotate tertiary interaction motifs.
  • Perform analysis over the diagrams

produced.

slide-5
SLIDE 5

RNA dataset criteria

  • High resolution (≤ 3.0 Å)
  • Structure size (> 2 nt/strand)
  • Representative sequences(1)

(≤ 55% sequence identity)

  • Structures should have at least one

tertiary motif Final dataset: 54 RNA crystal structures

  • Use of RNAVIEW(2), FR3D(3), 3DNA(4) and

RZparser(5) to annotate motifs

(1) Hobohm U. et al. Protein Science 1:409-17 (1992) (4) Lu X. and Olson W. NAR 31:51088-21 (2003) (2) Yang et al. NAR; 31(13), 3450-60 (2003) (5) Tamura and Holbroook. JMB; 320(3), 455-74 (2002) (3) Sarver et al. JMB Jan;56(1-2):215-52 (2008)

slide-6
SLIDE 6

Examples

RNA junctions have a high probability (84%) to contain at least one coaxial helix.

slide-7
SLIDE 7

23S rRNA

PDB: 1VQO

  • MOLL. CELL. V. 20 437 (2005)
slide-8
SLIDE 8

23S rRNA

PDB: 1VQO

  • MOLL. CELL. V. 20 437 (2005)
slide-9
SLIDE 9

Kissing hairpin 6 (1%) Loop-loop receptor 16 (3%) Coaxial helix 182 (30%) A-minor motif 229 (38%) Ribose zipper 121 (20%) Pseudoknot 40 (7%) tRNA D-loop;T-loop 7 (1%)

Distribution of tertiary motifs

  • For 54 high-resolution RNA structures, 601 RNA tertiary

interactions were found. Most of them occur in the 16S and 23S rRNAs.

  • Ribose zippers, coaxial helices and A-minor interactions

are highly abundant (88%).

slide-10
SLIDE 10

A-minor involved in long-range interactions

Structural context of the Watson-Crick pair in A- minor

5 10 15 20 25 30 35 40 45 1 2 3 4-5

Helical context Percentage Structural context of the inserted A in A-minor

5 10 15 20 25 30 35 Helix (WC) Helix (non- WC) Internal Terminal Junction Other SS

Structural context Percentage

slide-11
SLIDE 11

Helices joint by long-range interactions

23S rRNA (PDB: 1VQO)

  • MOL. CELL V.20 437 (2005)
slide-12
SLIDE 12

Correlated motifs

  • Many A-minor motifs (64%)

are involved with coaxial helices.

  • Coaxial helices (70%)

interact with A-minor.

  • Most ribose zippers (70%)

contain an A-minor.

  • Every loop-loop receptor

contains a ribose zipper, which in turn contains one

  • r more A-minor motif 87%
  • f the time.

Group I intron (PDB: 1HR2) RNA V.5 1119 (2001)

slide-13
SLIDE 13

Summary and future work

  • The correlations
  • bserved suggest that

RNA tertiary motifs work in a cooperative way between motifs and can form composite motifs.

  • To investigate the

rules that allow prediction on interactions between motifs.

slide-14
SLIDE 14

Acknowledgements

Yurong Xin and Tamar Schlick Tamar Schlick’s Lab, NYU

Human Frontier Science Program NSF/NIGMS initiative in Mathematical Biology (DMS-0201160)

slide-15
SLIDE 15

Loop-loop receptor

slide-16
SLIDE 16

A-minor and similar interactions