Proposed BioRepository platform solution for the ALS research community

Area of Science:

• Neurology
• Biorepository Science
• Biomarker Discovery

Background:

• Amyotrophic Lateral Sclerosis (ALS) is a rare neurodegenerative disease with largely unknown causes and pathogenesis.
• There is a critical need for biomarkers to advance ALS understanding, diagnosis, and therapy development.
• Large, well-characterized sample collections are essential for statistically significant research.

Purpose of the Study:

• To describe the development and implementation of a BioRepository platform for managing ALS biological samples and associated data.
• To highlight the importance of standardized procedures for sample integrity and data quality.
• To showcase the creation of a large virtual collection of ALS specimens for research.

Main Methods:

• Development of a secure, web-based system to manage multi-site BioRepository inventories.
• Implementation of algorithms for ad hoc parametric searches across heterogeneous data sources.
• Introduction of a flexible barcode label schema for sample-data association.
• Establishment of standardized operating procedures for sample collection, storage, and data management across multiple sites.

Main Results:

• Deployment of the ALSBank™ BioRepository platform by the Northeast ALS Consortium (NEALS).
• Creation of one of the largest virtual collections of ALS-related specimens.
• Facilitation of ad hoc searches across diverse clinical trial and research data.
• Ensured biological sample integrity, quality control, and relevant associated clinical data.

Conclusions:

• A standardized, collaborative approach to biorepository management is vital for ALS research.
• The ALSBank™ platform enables efficient management and accessibility of valuable ALS research specimens.
• This initiative supports biomarker discovery and accelerates therapeutic development for ALS.