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Identification of a Novel cis-Regulatory Element Involved in the Heat Shock Response in Caenorhabditis elegans Using Microarray Gene Expression and Computational Methods.

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  1. Identification of a Novel cis-Regulatory Element Involved in the Heat Shock Response in Caenorhabditis elegans Using Microarray Gene Expression and Computational Methods Debraj Guha Thakurta, Lisanne Palomar, Bary D. Stormo, Pat Tedesco, Thomas E. Johnson, Davis W. Walker, Gordon Lithgow, Stuart Kim, and Christopher D. Link Presented by Abel G. Gezahegne ECS 289A February 24, 2003

  2. Overview • Monitor ~12,000 genes from C. elegans to determine genes up-regulated on heat shock (HS). • Analyze the upstream regions of these genes using computational DNA pattern recognition methods to identify any cis-regulatory motifs. • Determine the significance of these motifs using statistical methods. • Perform comparative sequence analysis to determine if any cross-species conservations exist.

  3. Microarray Experiment • Determine Gene expression patterns before and after HS using DNA Microarray for 11,917 known and predicted C. elegans genes. • Animals were harvested as young adults and then split in two halves: HS population and control population. • 5 independent HS experiments at 35OC: In two experiment animals were harvested after 1 hr of HS. In three experiments animals were heat shocked for 2 hrs and allowed to recover at 20OC for 2 hrs then harvested.

  4. Software Tools • Consensus – a greedy algorithm that searches for a matrix with a low probability of occurring by chance. • ANN-Spec – an algorithm based on Artificial Neural Network and Gibbs sampling method to discover un-gapped patterns in DNA sequences • GLASS – Graphical Language for Assembly of Secondary Structures: a sequence alignment algorithm. • Patser – given weight matrix identifies high scoring subsequences and calculates p values.

  5. Gene Identification • Identified 28 genes induced in at least four of the five experiments and over-expressed by a factor of two or more. • Because of noise in DNA Microarray considered only genes up-regulated by an average factor of four or more.

  6. Gene Identification (cont.) • Used 500 bp upstream from transcription start site to select candidates for promoter elements. • Two DNA motifs identified by Consensus and ANN-Spec. • HSE - TTCTAGAA, a well known DNA binding site for HS Transcription Factors (HSF). • HSAS - GGGTGTC, un unknown motif that does not correspond to any known TF binding site.

  7. Mathematical Model • Probability of a protein binding to a site with a score s: P(bound|s)  es •  When multiple binding sites exist, probability of binding: Pmseq = sites es •  Geometric Mean of the pp-values: < Pmseq > = [ Sseq sites es ] 1/N • Difference of the log geometric means of the pp-values: DLGM = log < Pmseq >HS - < Pmseq >Rand

  8. Statistical Significance • Use the DLGM to determine the cutoff scores using the 13 up-regulated genes and 3000 random genes from the C. elegans genome. DLGM = log < Pmseq >HS - log < Pmseq >Rand • At a low cutoff value there are substantial amount of low scoring sequences thus DLGM is low. • At a high cutoff even the high scoring sequences are not being used thus DLGM drops. • The cutoff score that maximizes DLGM is chosen as the appropriate cutoff value.

  9. Cross-Species Conservation • To study conservation of regulatory sites across related species two orthologous gene pairs were examined between C. elegans and C. briggsae. • The pattern of HSE and HSAS sites on the promoters indicate conservation across closely related species. • Output from VISTA (VISualization Tools for Alignment.

  10. Cross-Species C. (cont) • The gene structure and distances between the genes are similar in both organisms. • The two genes share 450 nt in the upstream DNA sequence. • Output from GLASS alignment algorithm.

  11. Mutant Promoter Construct • A single mutation of HSE or HSAS still results in a significant expression level of GFP (green fluorescence protein). • Mutation of all three or two sites of HSE’s or one HSE’s and the HSAS results in dramatic reduction is expression level.

  12. Remarks and Conclusion • Since Microarray data was conducted for ~2/3 of the C. elegans genes, there may exist other HS induced genes. • Through experiments and statistical methods the novel cis-regulatory element discovered has been shown to play a significant role in heat shock response. • This has also shown computational methods can be a valuable tool in discovery of novel regulatory elements.

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