Friday, April 26, 2024
4/26/2024
Summary of Parent Award This is a proposed supplement to Dr. Bo Xia’s NIH Director’s Early Independence Award (DP5OD033430) titled: “Transposable Element Interaction and Its Impact on Human Development and Health”. Below is the abstract of this parent award: One of the most surprising discoveries from the Human Genome Project is that only about 1.5% of the genome codes for proteins, whereas around 46% comprises transposable elements (TEs). Functional assessment of how these ubiquitous TEs affect human development and health has posed a major challenge. While most TEs are considered non-functional, or “junk” DNA, here I argue that TE-induced gene regulation is strongly underestimated due to the historical tendency to explore TE functionality by studying individual TEs independently of each other. I propose to provide a novel framework to study how interactions between the hitherto “junk” TE sequences can regulate pre- mRNA splicing to affect gene function, and investigate whether such a mechanism could substantially affect both human development and evolution, and help explain the genetic etiology of human diseases. This proposal is inspired from my recent discovery that the interaction between a pair of Alu retrotransposons may explain the long-sought genetic basis for the evolution of tail loss in human and apes. Based on this work and my preliminary data, I will first use the Alu pair interaction in TBXT gene as a model to demonstrate that the interaction between intronic TEs can profoundly impact human development and health, and explain the etiology of a common genetic disease (Aim 1). Aim 2 proposes to test the hypothesis that the isoform of TBXT induced by interaction of the Alu pair pleiotropically contributes to strengthening of hindlimbs, thus directly testing the long-standing hypothesis that the tail-loss evolution in hominoids is associated with bipedal locomotion evolution (Aim 2). Beyond the specific interaction of the Alu pair in the TBXT gene, Aim 3 will develop an algorithm called TEILO (Transposable Element Interaction & Local Organization) to systematically identify the functional TE interactions that affect gene function and human health by modulating alternative splicing. This work premises a new paradigm to studying the interaction between TEs and its implication to human health and diseases.
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