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Follicular Bcl6 expression is associated with a unique immune landscape and spatial transcriptomic in COVID-19.

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Cloé Brenna;Bramon Mora Bernat;Kalliopi Ioannidou;Julien Bodelet;Mia Siebmanns;Simon Burgermeister;Spiros Georgakis;Michail Orfanakis;Yannick Muller;Nazanin Sédille;Matthew J Feinstein;Jon W Lomasney;Oliver Y. Chén;Giuseppe Pantaleo;Sabina Berezowska;Laurence De Leval;Raphael Gottardo;Constantinos Petrovas

Description

This study investigated the immune architecture of lymphoid tissues in the context of SARS-CoV-2 infection using multiplex immunofluorescence (mIF). All tissue samples were formalin-fixed, paraffin-embedded (FFPE) and processed through a fully automated staining protocol. High-resolution imaging generated multiplex QPTIFF files, which are multi-channel fluorescence images created through tyramide signal amplification (TSA), allowing the spatial mapping of multiple immune markers within a single tissue section.A total of 35 human lymph node (LN) tissues were analyzed, comprising:·         COVID-19 deceased donors (n = 31):o    Aged RF-Bcl6no/low: 12 sampleso    Aged RF-Bcl6int: 5 sampleso    Aged RF-Bcl6high: 6 sampleso    Young RF-Bcl6no/low: 4 sampleso    Young RF-Bcl6int: 3 sampleso    Young RF-Bcl6high: 1 sample·         Non–COVID-19-infected control donors (n = 4):o    Healthy lung-draining lymph nodes (HLNs)Lymph nodes were sampled from a range of anatomical sites, including hilar, subdiaphragmatic, mediastinal, para-esophageal, para-aortic, para-tracheal, and axillary locations. Importantly, the dataset also includes 7 matched subdiaphragmatic lymph nodes, each paired with hilar nodes from the same donors, enabling comparative spatial analyses across anatomical compartments within individuals.The resulting QPTIFF images offer detailed insights into immune cell distributions, follicular organization, and spatial relationships within the lymphoid microenvironment, both in COVID-19 and in healthy control conditions.

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Metrics

Dataset Index

0.3

FAIR Score

58%

Citations

0

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

Zenodo

License

Creative Commons Attribution 4.0 International

Assigned Domain

Subfield

Genetics

Field

Medicine

Domain

Health Sciences

Confidence Score

41%

Source

Scholar Data Model

Keywords

COVID-19FolliclesImmune LandscapingSpatial TranscriptomicsMultiplex Imaging

Normalization Factors

FT

73.08

CTw

1.00

MTw

1.00