Genomic environment predicts expression patterns on the human inactive X chromosome.
What genomic landmarks render most genes silent while leaving others expressed on the inactive X chromosome in mammalian females? To date, signals determining expression status of genes on the inactive X remain enigmatic despite the availability of complete genomic sequences. Long interspersed repeats (L1s), particularly abundant on the X, are hypothesized to spread the inactivation signal and are enriched in the vicinity of inactive genes. However, both L1s and inactive genes are also more prevalent in ancient evolutionary strata. Did L1s accumulate there because of their role in inactivation or simply because they spent more time on the rarely recombining X? Here we utilize an experimentally derived inactivation profile of the entire human X chromosome to uncover sequences important for its inactivation, and to predict expression status of individual genes. Focusing on Xp22, where both inactive and active genes reside within evolutionarily young strata, we compare neighborhoods of genes with different inactivation states to identify enriched oligomers. Occurrences of such oligomers are then used as features to train a linear discriminant analysis classifier. Remarkably, expression status is correctly predicted for 84% and 91% of active and inactive genes, respectively, on the entire X, suggesting that oligomers enriched in Xp22 capture most of the genomic signal determining inactivation. To our surprise, the majority of oligomers associated with inactivated genes fall within L1 elements, even though L1 frequency in Xp22 is low. Moreover, these oligomers are enriched in parts of L1 sequences that are usually underrepresented in the genome. Thus, our results strongly support the role of L1s in X inactivation, yet indicate that a chromatin microenvironment composed of multiple genomic sequence elements determines expression status of X chromosome genes.
Carrel
Laura
L
Department of Biochemistry and Molecular Biology, Pennsylvania State University College of Medicine, Hershey, Pennsylvania, United States of America. lcarrel@psu.edu
Park
Chungoo
C
Tyekucheva
Svitlana
S
Dunn
John
J
Chiaromonte
Francesca
F
Makova
Kateryna D
KD
D000465:Algorithms; D041321:Chromosomes, Human, X / Q000378:metabolism*; D002965:Classification / Q000379:methods; D019295:Computational Biology / Q000379:methods; D004303:Dosage Compensation, Genetic; D044127:Epigenesis, Genetic; D005260:Female; D005786:Gene Expression Regulation; D005796:Genes; D015894:Genome, Human / Q000502:physiology*; D006801:Humans; D016014:Linear Models; D008969:Molecular Sequence Data; D012091:Repetitive Sequences, Nucleic Acid; D049951:X Chromosome Inactivation / Q000502:physiology*