Wing Wong, co-author: Complex genomic variants are related to psychiatric diseases, study finds

The 3 billion base pairs that constitute the human genome — the matching jigsaw puzzle pieces of adenine pairing with thymine and cytosine pairing with guanine — are not just the body’s instruction manual. Rearrangements in the order of those base pairs are markers of the origins of disease and of our evolutionary history. They can be simple, when a handful of base pairs switch places. They can also be complex, such as when a stretch of tens of thousands of base pairs inverts and is missing multiple sections.

Read the story here: https://med.stanford.edu/ne

Leslie Espinoza, Cally Lin, and Perla Molina are the DBDS Student JEDI Committee’s conference scholars and recruitment scouts for 2024! 

Leslie Espinoza, Cally Lin, and Perla Molina are the DBDS Student JEDI Committee’s conference scholars and recruitment scouts for 2024! 

Leslie (M.S. student) and Cally (M.S. student) each had their research accepted for presentation at ABRCMS (Annual Biomedical Research Conference for Minoritized Scientists) in Pittsburgh, PA.

Perla (PhD student) had her research accepted for presentation at SACNAS’ (Society for the Advancement of Chicanos/Hispanics and Native Americans in Science) annual NDiSTEM (National Diversity in STEM) conference in Phoenix, AZ. Perla is also the recipient of the Travel Scholarship for the 2024 NDiSTEM Conference.

 

diagram of new method for detecting elements in viruses under selection.

Julie Wang and Arjun Rustagi have collaborated to generate a new method for detecting elements in viruses under selection

RNA secondary and tertiary structure is critically involved in ribozyme and ribosomal rRNA function, as well as viral and cellular regulation. Traditional experimental methods for RNA structure determination such as X-ray crystallography or chemical mapping are incisive; however, these approaches suffer from low-throughput and low-dimensionality, respectively. Computational approaches, leveraging evolutionary signals from correlated positions’ mutations, provide an alternative means to infer RNA structures. However, these methods require assembly, and face challenges due to statistical biases inherent in multiple sequence alignment (MSA). Furthermore, these methods cannot make use of the full spectrum of natural variations seen for a given RNA element.

Read it here:
https://www.biorxiv.org/content/10.1101/2024.10.03.616574v1