New study sheds light on how genetic variation in motile cilia affects cilia structure and function

Defects in motile cilia in humans cause the rare disease Primary Ciliary Dyskinesia (PCD), affecting approximately 1 in every 10,000 to 30,000 people. People who have PCD are characterized by recurrent respiratory infections, left-right asymmetry defects, ear infections, and infertility. Even with genome and exome sequencing, 30% of the patients still don’t have a gene […]

Dr. Ting Wang inducted as an AIMBE fellow (Links to an external site)

Election to AIMBE’s College of Fellows is limited to the top 2% of medical and biological engineers in these fields. Those elected are considered to have made outstanding contributions to engineering and medicine research, practice or education. Congratulations to Dr. Ting Wang for being inducted as an AIMBE fellow.

Congratulations to Caitlin Dingwall for winning the O’Leary Prize

Each year the O’Leary Competition acknowledges the most original and important accomplishments in Neuroscience research at WashU by a predoctoral student or postdoctoral fellow. This year, Caitlin Dingwall, an MD/PhD student in the Milbrandt Lab won the prize along with Yun Chen, a graduate student in the Holtzman Lab!

WashU Medicine rises to No. 2 in nation in NIH research funding (Links to an external site)

Washington University School of Medicine in St. Louis received in 2023 the second highest amount of funding from the National Institutes of Health (NIH) of all medical schools nationwide. This ranking reflects the school’s commitment to cutting-edge research and positions it as a key player in shaping the future of medicine.

Video: PhD Students Talk about New Research on Transposable Elements and Cancer

In the new paper published in Nature Reviews, “Towards targeting transposable elements for cancer therapy”, graduate students Xuan Qu and Yonghao Liang (Holden) summarized the latest research developments in the field. In this video, they talk about their research focus in Dr. Ting Wang’s lab.

Using Interpretable Deep Learning Tools to Decipher Gene Regulation

In this paper, recently published in PLOS Computational Biology, Dr. Michael White, Associate Professor of Genetics and colleagues used a new AI learning package to model data generated with synthetic regulatory DNA elements to further the understanding of regulatory DNA. 

Postdoc Profile: Ju Heon Maeng

Below we are going to delve into Ju Heon Maeng’s background, hobbies and research aspirations. What are you investigating? I am currently working on two projects. First, I am investigating transposable element-derived antigens in patient-derived glioblastoma stem cells upon epigenetic treatment. This project involves analyzing multi-omics data, including long-read CAGE data.Also, I’m studying transposable element […]