Back to search

Article

Integrative single cell analysis to decode transcriptomic heterogeneity in pulmonary fibrosis across diverse pathologies

2024-09-08

Abstract excerpt

<title>Abstract</title> <p>Studies using single-cell transcriptional profiling of human samples have provided invaluable mechanistic insights into the development of various acute and chronic fibrotic lung states. However, the lack of data harmonization has impeded the comprehensive mapping of lung fibrosis, particularly for rarer etiologies with limited tissue availability. In this study, we performed new transc...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
aa7a6fef-978a-58af-ba76-b74e169f28ef
DOI
10.21203/rs.3.rs-4897173/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Integrative single cell analysis to decode transcriptomic heterogeneity in pulmonary fibrosis across diverse pathologiesDOI 10.21203/rs.3.rs-4897173/v1
Select a neighboring publication to make it the new centre.