New High-Tech Portal Launched to Speed Hearing Loss Innovations

Researchers at the University of Maryland School of Medicine (UMSOM) launched a new online tool that could more quickly advance medical discoveries to reverse progressive hearing loss. The tool enables easy access to genetic and other molecular data from hundreds of technical research studies involving hearing function and the ear. The research portal called gene Expression Analysis Resource (gEAR) was unveiled in a study last month in Nature Methods. It is operated by a group of physician-scientists at the UMSOM Institute for Genome Sciences (IGS) in collaboration with their colleagues at other institutions.

The portal allows researchers to rapidly access data and provides easily interpreted visualizations of datasets. Scientists can also input their own data and compare it to other datasets to help determine the significance of their new finding.

"It saves scientists a huge amount of time," said study corresponding author Ronna Hertzano, MD, PhD, Associate Professor of Otorhinolaryngology-Head & Neck Surgery at UMSOM and founder of the gEAR. "Instead of relying only on identifying mutations in genes for hearing loss, researchers can easily identify which cells express any gene in the ear, and how this expression changes, for example, as a result of noise exposure or in processes of regeneration in other species."

Dr. Hertzano and her team recently added data from the BRAIN initiative to a specialized domain of the gEAR portal to provide access to those performing neuroscience studies to better understand brain function and neurodegenerative diseases like Alzheimer's. The portal is free and available to any researcher seeking access.

Users of the portal can do a variety of applications depending on their needs. They can access the dataset uploader and add their dataset into gEAR to view their data in a private setting. This enables them to see their findings in the context of other public data before posting their results online or submitting their paper for publication. Once a manuscript is published, a permalink can be included in the manuscript which links readers directly to a curated view of that dataset.

"The gEAR portal currently includes over 800 datasets, which we carefully reviewed before inputting," said Dr. Hertzano. "We currently have more than 1,200 registered users and over 80 citations in research studies. We are expecting a large increase now that our methods paper is published." She and her colleagues did a soft launch of the portal a few years earlier and publicized its existence via discussions with colleagues and user workshops at scientific meetings.

The Hearing Restoration Project, a non-profit research consortium funded by the Hearing Health Foundation, provided initial support of gEAR in an effort to better understand the mystery of hair cell regeneration - why hair cells in the ear regenerate in certain animals but not in humans. Our hair cells do not naturally regenerate when they die off due to aging, excess noise, or exposure to certain potent medications like chemotherapy drugs for cancer. For this reason, hearing loss is usually permanent and cannot be reversed. The consortium uses genomic analyses to compare molecular processes in species that do not regenerate hair cells. "The gEAR team closely interacts with the consortium researchers who also serve as our focus group, providing priceless feedback and suggestions," Dr. Hertzano said.

Understanding how the expression of certain genes plays a role in hair cell regeneration - and how enzymes and other proteins mediate that process - could lead to new treatments to reverse hearing loss by triggering a regeneration of these cells.

"By enabling rapid access to enormous datasets, the gEAR portal can serve as a valuable hub for community building around common research areas," said Claire M. Fraser, PhD, the Dean's Endowed Professor of Medicine, Microbiology and Immunology, and Director of IGS. "Having access to data in large repositories is not enough. What's essential is that gEAR curates and organizes the data into an accessible format so it can be used to address important scientific questions."

Study lead author Joshua Orvis, Lead Bioinformatics Software Engineer at IGS and study co-author Yang Song, PhD, Bioinformatics Analyst II at IGS, were instrumental in the development of gEAR. Researchers from the University of Maryland, College Park, National Institute on Deafness and Other Communication Disorders, University of Iowa, Johns Hopkins University School of Medicine, and Bar-Ilan University in Israel also contributed to this study.

"The gEAR portal is a beautiful example of the value of close collaboration of clinicians, biologists, and engineers to bridge the gap in technology and make the critically important 'omic' data generated across the world immediately accessible to biologists in a meaningful format," said E. Albert Reece, MD, PhD, MBA, Executive Vice President for Medical Affairs, UM Baltimore, and the John Z. and Akiko K. Bowers Distinguished Professor, and Dean, University of Maryland School of Medicine.

Orvis J, Gottfried B, Kancherla J, Adkins RS, Song Y, Dror AA, Olley D, Rose K, Chrysostomou E, Kelly MC, Milon B, Matern MS, Azaiez H, Herb B, Colantuoni C, Carter RL, Ament SA, Kelley MW, White O, Bravo HC, Mahurkar A, Hertzano R.
gEAR: Gene Expression Analysis Resource portal for community-driven, multi-omic data exploration.
Nat Methods. 2021 Jun 25. doi: 10.1038/s41592-021-01200-9.

Most Popular Now

Giving Doctors an AI-Powered Head Start …

Detection of melanoma and a range of other skin diseases will be faster and more accurate with a new artificial intelligence (AI) powered tool that analyses multiple imaging types simultaneously...

AI Agents for Oncology

Clinical decision-making in oncology is challenging and requires the analysis of various data types - from medical imaging and genetic information to patient records and treatment guidelines. To effectively support...

AI Medical Receptionist Modernizing Doct…

A virtual medical receptionist named "Cassie," developed through research at Texas A&M University, is transforming the way patients interact with health care providers. Cassie is a digital-human assistant created by Humanate...

Using Data and AI to Create Better Healt…

Academic medical centers could transform patient care by adopting principles from learning health systems principles, according to researchers from Weill Cornell Medicine and the University of California, San Diego. In...

AI Tool Set to Transform Characterisatio…

A multinational team of researchers, co-led by the Garvan Institute of Medical Research, has developed and tested a new AI tool to better characterise the diversity of individual cells within...

AI Detects Hidden Heart Disease Using Ex…

Mass General Brigham researchers have developed a new AI tool in collaboration with the United States Department of Veterans Affairs (VA) to probe through previously collected CT scans and identify...

Human-AI Collectives Make the Most Accur…

Diagnostic errors are among the most serious problems in everyday medical practice. AI systems - especially large language models (LLMs) like ChatGPT-4, Gemini, or Claude 3 - offer new ways...

Northern Ireland Completes Nationwide Ro…

Go-lives at Western and Southern health and social care trusts mean every pathology service is using the same laboratory information management system; improving efficiency and quality. An ambitious technology project to...

Highland Marketing Announced as Official…

Highland Marketing has been named, for the second year running, the official communications partner for HETT Show 2025, the UK's leading digital health conference and exhibition. Taking place 7-8 October...

MHP-Net: A Revolutionary AI Model for Ac…

Liver cancer is the sixth most common cancer globally and a leading cause of cancer-related deaths. Accurate segmentation of liver tumors is a crucial step for the management of the...

Groundbreaking TACIT Algorithm Offers Ne…

Researchers at VCU Massey Comprehensive Cancer Center have developed a novel algorithm that could provide a revolutionary tool for determining the best options for patients - both in the treatment...

The Many Ways that AI Enters Rheumatolog…

High-resolution computed tomography (HRCT) is the standard to diagnose and assess progression in interstitial lung disease (ILD), a key feature in systemic sclerosis (SSc). But AI-assisted interpretation has the potential...