henhaobio
Sign in

Nature CommunicationsBiophysicsPeer-reviewed journal article

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

Sandeep ShirgilliD, Daniel J. NievesiD, Jeremy Andrew PikeiD, Mahmoud A. AhmediD, H. Abbott, Mohammed BaragillyiD, Kylie SavoyeiD, Jonathan D. WorboysiD, Khodor S. HazimeiD, Ezra BruggemaniD, A. Lopez Garcia, David J. WilliamsoniD, Patrick Rubin‐DelanchyiD, Ruby PetersiD, Daniel M. DavisiD, Ricardo HenriquesiD, Steven F. LeeiD, Dylan M. OweniD

PDFDOIPreprint

Abstract

We present a publicly accessible, curated, and functional resource, termed "nano-org", containing single-molecule localisation microscopy (SMLM) data representing the nanoscale distributions of proteins in cells. Nano-org is searchable by comparing the statistical similarity of the datasets it contains. This unique functionality allows the resource to be used to understand the relationships of nanoscale architectures between proteins, cell types or conditions, enabling a new field of spatial nano-omics.

Citations
5
FWCI
1.61
Field percentile
top 16%

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Related papers

Similarity Map
SelectedSame fieldCross-field
THISShirgill '25Nino '19Rafiei '16Wallis '21Jimenez '19Theiss '22
67% semantic matchBioinformatics
Sandeep Shirgill, L G Jensen, Daniel J. Nieves+9 more·bioRxiv·Oct 7, 2025· 2 citations