Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Dual spatially resolved transcriptomics for human host–pathogen colocalization studies in FFPE tissue sections

19 Oct 2023

Abstract excerpt

Technologies to study localized host-pathogen interactions are urgently needed. Here, we present a spatial transcriptomics approach to simultaneously capture host and pathogen transcriptome-wide spatial gene expression information from human formalin-fixed paraffin-embedded (FFPE) tissue sections at a near single-cell resolution. We demonstrate this methodology in lung samples from COVID-19 patients and validate...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Extracellular vesicles in disease
Share to Respiratory viral infections research
Share to Single-cell and spatial transcriptomics

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 37858234
DOI: 10.1186/s13059-023-03080-y

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 8 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Dual spatially resolved transcriptomics for human host–pathogen colocalization studies in FFPE tissue sectionsPMID 37858234Read ↗

Dual spatially resolved transcriptomics for SARS-CoV-2 host-pathogen colocalization studies in humansSemantic proximity Read ↗

Highly sensitive spatial transcriptomics using FISHnCHIPs of multiple co-expressed genesSemantic proximity Read ↗

A technical comparison of spatial transcriptomics platforms across six cancer typesSemantic proximity Read ↗

Profiling of lung SARS-CoV-2 and influenza virus infection dissects virus-specific host responses and gene signaturesSemantic proximity Read ↗

Cellular and molecular heterogeneities and signatures, and pathological trajectories of fatal COVID-19 lungs defined by spatial single-cell transcriptome analysisSemantic proximity Read ↗

Same-Slide Spatial Multi-Omics Integration Reveals Tumor Virus-Linked Spatial Reorganization of the Tumor MicroenvironmentSemantic proximity Read ↗

Benchmarking robust spatial transcriptomics approaches to capture the molecular landscape and pathological architecture of archived cancer tissuesSemantic proximity Read ↗

Single-cell spatial transcriptomics of fixed, paraffin-embedded biopsies reveals colitis-associated cell networksSemantic proximity Read ↗

A single-cell and spatial atlas of autopsy tissues reveals pathology and cellular targets of SARS-CoV-2Semantic proximity Read ↗

Spatially Exploring RNA Biology in Archival Formalin-Fixed Paraffin-Embedded TissuesSemantic proximity Read ↗

Spatially resolved transcriptomics reveals distinct pulmonary immune responses during influenza virus and SARS-CoV-2 infectionsSemantic proximity Read ↗

HESTIA: Scalable Multimodal Integration of Histology and High-Resolution Spatial Transcriptomics for Robust Spatial Domain IdentificationSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.