The Hidden Codes That Shape Protein Evolution ----Exons Binding Transcription Factor

1. The Hidden Codes That Shape Protein Evolution----Exons Binding Transcription Factor Speaker: HU Xue-Jia Supervisor: WU Yun-Dong Date: 19/12/2013

2. Contents • Introduction • Regulatory codes • “Duons” • Genomic footprint • TFs densely populate and evolutionarily constrain protein-coding exons • TFs modulate global codon biases • Genetic variation in duons frequently alters TF occupancy • Summary and perspective

3. Contents • Introduction • Regulatory codes • “Duons” • Genomic footprint • TFs densely populate and evolutionarily constrain protein-coding exons • TFs modulate global codon biases • Genetic variation in duons frequently alters TF occupancy • Summary and perspective

4. Regulatory codes • Despite redundancy in the genetic code, the choice of codons used is highly biased in some proteins, suggesting that additional constraints operate in certain protein-coding regions of the genome. • There are many kinds of regulatory elements within protein coding regions (such as transcription factor binding) those can influence codon choice and amino acid preference that are independent of protein structure or function. Weatheritt, R J.; Badu, M M. Sceicne.2013, 342: 1325-1326.

5. Duons The genetic and regulatory codes have been assumed to operate independentlyof one another and to be segregated physically into the coding and noncoding genomic compartments. The potential for some coding exons to accommodate transcriptional enhancers or splicing signals has long been recognized. “Duons”: dual-use codons(simultaneously specify both amino acids and TF recognition sites) TF: transcription factor Stergachis, A J.; et al. Sceicne.2013, 342: 1367-1372.

6. Genomic footprint A method of investigating the sequence specificity of DNA-binding proteins in vitro. This technique can be used to study protein-DNA interactions both outside and within cells.

7. Contents • Introduction • Regulatory codes • “Duons” • Genomic footprint • TFs densely populate and evolutionarily constrain protein-coding exons • TFs modulate global codon biases • Genetic variation in duons frequently alters TF occupancy • Summary and perspective

8. The abundance of TFs Method: deoxyribonucleaseⅠ (DNaseⅠ) footprinting Materials: 81 diverse cell types (human gnome) • Approximately 14% of all human coding bases contact a TF in at least one cell type (average 1.1% per cell type), 86.9% of genes contained coding TF footprints (average 33% per cell type) • The density of TF footprints at different genic positions varied widely.

9. Evolutionary constraint at coding footprint SNV: single nucleotide variation Both synonymous and nonsynonymousmutationswithin coding footprints were significantlyyounger than those outside of footprints. Estimated mutational age at all (gray), synonymous (brown), and nonsynonymous (red) coding SNVs withinand outside footprints.

10. TFs influence codon and amino acid choice Fourfold-degenerate bases: A position of a codon is said to be a fourfold degenerate site if any nucleotide at this position specifies the same amino acid. TFs constrain both codon choice (via constraint on 4FDBs) and amino acid choice (via NDBs) encodedat their recognition sites.

11. Contents • Introduction • Regulatory codes • “Duons” • Genomic footprint • TFs densely populate and evolutionarily constrain protein-coding exons • TFs modulate global codon biases • Genetic variation in duons frequently alters TF occupancy • Summary and perspective

12. TFs modulate global codon biases • For all amino acids encoded by two or more codons the codon that is preferentially used genome-wide is preferentially occupied by TFs. • The third position of preferred codons overlapping footprints is under excess evolutionary constraint supports a general role for TFs in potentiating codon usage biases through the selective preservation of preferred codons.

13. Contents • Introduction • Regulatory codes • “Duons” • Genomic footprint • TFs densely populate and evolutionarily constrain protein-coding exons • TFs modulate global codon biases • Genetic variation in duons frequently alters TF occupancy • Summary and perspective

14. SVNs affect TF occupancy • 3% of coding footprints harbored heterozygous SNVs. • 17.4% quantitatively skew the allelic origins of DNA fragments protected from cleavage by DNaseⅠin human cells, suggesting that such SNVs affect TF occupancy.

15. Influence of SNVs in duons Proportion of SNVs in duons that allelically alter TF occupancy • Such SNVs (mentioned before) are not biased toward whether they result in synonymous or nonsynonymouschanges. • Intriguingly, a large fraction of nonsynonymousvariants are predicted not to alter protein function. This indicates that some variants within duons might primarily affect transcription factor binding instead. This supports the emerging idea that SNVs within protein-coding regions can lead to disease without affecting protein structure or function. Weatheritt, R J.; Badu, M M. Sceicne.2013, 342: 1325-1326.

16. Contents • Introduction • Regulatory codes • “Duons” • Genomic footprint • TFs densely populate and evolutionarily constrain protein-coding exons • TFs modulate global codon biases • Genetic variation in duons frequently alters TF occupancy • Summary and perspective

17. Summary and perspective • ~14% regions called “duons” of the codons encode two types of information. • The requirement for transcription factors to bind within protein-coding regions of the genome has led to a considerable bias in codon usage and choice of amino acids, in a manner that is constrained by the binding motif of each transcription factor. • TFs modulate global codon biases • 17.4%quantitatively SNVs those skew the allelic origins of DNA fragments affect transcription factor occupancy. • Some SNVs within duons might primarily affect transcription factor binding instead. This supports the emerging idea that single-nucleotide variants within protein-coding regions can lead to disease without affecting protein structure or function. • It is unclear how the binding of a TF within protein-coding regions mechanistically influences the expression of a gene. • It is also unclear whether binding of a TF within a protein-coding region may not directly affect gene expression but instead determine the formation and maintenance of higher-order chromatin structure.

19. Method: deoxyribonucleaseⅠ (DNaseⅠ) footprinting Materials: 81 diverse cell types (human gnome) Stergachis, A J.; et al. Sceicne.2013, 342: 1367-1372.

20. A subset of TFs selectively avoid coding sequences. TFs involved in positioning the transcriptional preinitiationcomplex, such as NFYA and SP1, preferentially avoid the translated region of the first coding exon and typically occupy elements immediately upstream of the methionine start codon. Conversely, TFs involved in modulating promoter activity, such as YY1 and NRSF, preferentially occupy the translated region of the first coding exon (Fig. 3, A and C) (30, 31). These findings indicate that the translated portion of the first coding exon may serve functionally as an extension of the canonical promoter.

21. Positional occupancy patterns