Nano-org, a functional resource for single-molecule localisation microscopy data

Area of Science:

• Cellular Biology
• Biophysics
• Microscopy

Background:

• Protein nanoscale organization is crucial for cellular functions like signaling and adhesion.
• Single-molecule localisation microscopy (SMLM) provides high-resolution spatial data on protein distribution.
• Comparing SMLM data across studies is difficult due to limited functional resources.

Purpose of the Study:

• To create a publicly accessible, curated resource for SMLM data.
• To enable comparative analysis of protein nanoscale organization.
• To support the emerging field of spatial nano-omics.

Main Methods:

• Development of the 'nano-org' database.
• Inclusion of SMLM datasets detailing protein nanoscale distributions.
• Implementation of a search function based on statistical similarity of datasets.

Main Results:

• A publicly available, searchable resource named nano-org has been established.
• The resource contains curated SMLM data on protein nanoscale organization.
• Search functionality allows comparison of datasets based on statistical similarity.

Conclusions:

• Nano-org facilitates the comparison of protein nanoscale architectures across different cellular contexts.
• This resource supports research into protein organization and spatial nano-omics.
• It addresses the challenge of data comparability in SMLM studies.