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Frances Wong

Publications and source records attributed to Frances Wong.

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FAIR sharing of Chromatin Tracing datasets using the newly developed 4DN FISH Omics Format

In recent years, multiplexed Fluorescence In Situ Hybridization (FISH) or FISH-omics methods have rapidly expanded, enabling the quantification of chromatin organization in single cells, often in conjunction with measurements of RNA and protein. These approaches have deepened our understanding of how 3D chromosome architecture relates to transcriptional activity and cell states in health and disease. Despite these advances, results from Chromatin Tracing FISH-omics experiments remain challenging to share, reuse, and analyze due to the absence of standardized data exchange specifications. Building on the release of microscopy metadata standards, we introduce the FISH Omics Format-Chromatin Tracing (FOF-CT), a community-developed standard for processed results from diverse imaging modalities. We describe the FOF-CT file format and present a curated collection of datasets deposited in the 4DN Data Portal and the OME Image Data Resource (IDR). We also highlight their potential for reuse, integration, and modeling by outlining example analysis pipelines and illustrating biological insights enabled by standardized, FAIR-compliant Chromatin Tracing datasets. While this manuscript focuses on the representation of ball-and-stick Chromatin Tracing, the format is designed to be extensible to volumetric Chromatin Tracing.

q-bio.OT

MDEmic in a use case for microscopy metadata harmonization: Facilitating FAIR principles in practical application with metadata annotation tools

While the FAIR principles are well accepted in the scientific community, the implementation of appropriate metadata editing and transfer to ensure FAIR research data in practice is significantly lagging behind. On the one hand, it strongly depends on the availability of tools that efficiently support this step in research data management. On the other hand, it depends on the available standards regarding the interpretability of metadata. Here, we introduce a tool, MDEmic, for editing metadata of microscopic imaging data in an easy and comfortable way that provides high flexibility in terms of adjustment of metadata sets. This functionality was in great demand by many researchers applying microscopic techniques. MDEmic has already become a part of the standard installation package of the image database OMERO as OMERO.mde. This database helps to organize and visualize microscopic image data and keep track of their further processing and linkage to other data sets. For this reason, many imaging core facilities provide OMERO to their users. We present a use case scenario for the tailored application of OMERO.mde to imaging data of an institutional OMERO-based Membrane Dye Database, which requires specific experimental metadata. Similar to public image data repositories like the Image Data Resource, IDR, this database facilitates image data storage including rich metadata which enables data mining and re-use, one of the major goals of the FAIR principles.

q-bio.QM