<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"
	xmlns:content="http://purl.org/rss/1.0/modules/content/"
	xmlns:wfw="http://wellformedweb.org/CommentAPI/"
	xmlns:dc="http://purl.org/dc/elements/1.1/"
	xmlns:atom="http://www.w3.org/2005/Atom"
	xmlns:sy="http://purl.org/rss/1.0/modules/syndication/"
	xmlns:slash="http://purl.org/rss/1.0/modules/slash/"
	>

<channel>
	<title>cellular heterogeneity in COPD pathogenesis &#8211; Science</title>
	<atom:link href="https://scienmag.com/tag/cellular-heterogeneity-in-copd-pathogenesis/feed/" rel="self" type="application/rss+xml" />
	<link>https://scienmag.com</link>
	<description></description>
	<lastBuildDate>Tue, 27 Oct 2026 00:00:06 +0000</lastBuildDate>
	<language>en-US</language>
	<sy:updatePeriod>
	hourly	</sy:updatePeriod>
	<sy:updateFrequency>
	1	</sy:updateFrequency>
	<generator>https://wordpress.org/?v=7.1.3</generator>

<image>
	<url>https://scienmag.com/wp-content/uploads/2024/07/cropped-scienmag_ico-32x32.jpg</url>
	<title>cellular heterogeneity in COPD pathogenesis &#8211; Science</title>
	<link>https://scienmag.com</link>
	<width>32</width>
	<height>32</height>
</image> 
<site xmlns="com-wordpress:feed-additions:1">73899611</site>	<item>
		<title>Single-cell map reveals immune-fibrotic imbalance driving COPD</title>
		<link>https://scienmag.com/single-cell-map-reveals-immune-fibrotic-imbalance-driving-copd/</link>
		
		<dc:creator><![CDATA[Juliet Wilcox]]></dc:creator>
		<pubDate>Tue, 27 Oct 2026 00:00:06 +0000</pubDate>
				<category><![CDATA[Science News]]></category>
		<category><![CDATA[analysis]]></category>
		<category><![CDATA[cell-cell communication]]></category>
		<category><![CDATA[cell-cell signaling alterations in COPD]]></category>
		<category><![CDATA[cell-type specific gene expression in COPD]]></category>
		<category><![CDATA[cellular heterogeneity in COPD pathogenesis]]></category>
		<category><![CDATA[COPD]]></category>
		<category><![CDATA[COPD single-cell transcriptomics]]></category>
		<category><![CDATA[fibroblasts]]></category>
		<category><![CDATA[fibrosis]]></category>
		<category><![CDATA[fibrosis progression driven by cell interactions]]></category>
		<category><![CDATA[immune dysregulation]]></category>
		<category><![CDATA[immune dysregulation in chronic obstructive pulmonary disease]]></category>
		<category><![CDATA[immune-fibrotic imbalance in lung disease]]></category>
		<category><![CDATA[lung microenvironment]]></category>
		<category><![CDATA[lung microenvironment remodeling in COPD]]></category>
		<category><![CDATA[macrophage and fibroblast communication in COPD]]></category>
		<category><![CDATA[macrophages]]></category>
		<category><![CDATA[myeloid cells]]></category>
		<category><![CDATA[potential chemical modulators of COPD progression]]></category>
		<category><![CDATA[role of immune cells in COPD inflammation]]></category>
		<category><![CDATA[single-cell]]></category>
		<category><![CDATA[Single-Cell RNA Sequencing]]></category>
		<category><![CDATA[single-cell RNA sequencing in respiratory disease]]></category>
		<category><![CDATA[Transcriptomics]]></category>
		<guid isPermaLink="false">https://scienmag.com/?p=348711</guid>

					<description><![CDATA[A single-cell RNA sequencing analysis of 101,009 cells identifies 17 cell subtypes and reveals reduced macrophage and fibroblast signaling alongside heightened immune cell communication in COPD.]]></description>
										<content:encoded><![CDATA[<p>Traditional bulk transcriptomics averages signals across mixed cell populations, obscuring the roles of specific subtypes. Single-cell RNA sequencing overcomes this by profiling gene expression cell by cell, allowing the team to resolve COPD&#x27;s cellular heterogeneity at unprecedented resolution. The integrated analysis identified four major cell types and 17 distinct subtypes, providing a fine-grained atlas of the cellular landscape underlying persistent airflow limitation and the inflammatory and tissue-remodeling cascade that characterizes the disease.</p>
<p>Cell–cell communication analysis then revealed a striking imbalance in signaling. Macrophages and fibroblasts showed a significant reduction in signaling activity, while certain immune cells displayed enhanced signaling, pointing to immune dysregulation as a pivotal driver of COPD pathogenesis. The authors suggest this immune-fibrotic imbalance reshapes the lung microenvironment: weakened macrophage and fibroblast communication may impair coordination of inflammation control and tissue repair, while heightened signaling among other immune cells sustains inflammatory pressure.</p>
<p>Drilling deeper into macrophage-dominant myeloid cells and fibroblasts, the study uncovered critical roles for these populations in modulating inflammation and driving fibrosis progression, two intertwined processes central to COPD pathology. Beyond cell interactions, the team identified 19 chemicals that may influence COPD progression by modulating gene expression in specific cell populations, offering candidate leads for future mechanistic and therapeutic investigation.</p>
<p><strong>Subject of Research:</strong> Single-cell RNA sequencing analysis of immune-fibrotic cell interactions in COPD</p>
<p><strong>Article Title:</strong> Single-cell analysis of COPD: Microenvironmental interactions driven by immune-fibrotic imbalance</p>
<p><strong>Article References:</strong> Jiang, H., Wang, W., Wang, L., Wu, J., Luo, J., Yan, Q., Gong, X., &amp; Liang, J. (2026). Single-cell analysis of COPD: Microenvironmental interactions driven by immune-fibrotic imbalance. <em>PLOS One, 21</em>(10), e0361580. <a href="https://doi.org/10.1371/journal.pone.0361580" rel="noopener noreferrer">https://doi.org/10.1371/journal.pone.0361580</a></p>
<p><strong>Image Credits:</strong> AI Generated</p>
<p><strong>DOI:</strong> <a href="https://doi.org/10.1371/journal.pone.0361580" rel="noopener noreferrer">10.1371/journal.pone.0361580</a></p>
<p><strong>Keywords:</strong> COPD, single-cell RNA sequencing, macrophages, fibroblasts, immune dysregulation, fibrosis, cell-cell communication, lung microenvironment, myeloid cells, transcriptomics, Single-cell, analysis</p>
]]></content:encoded>
					
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">348711</post-id>	</item>
	</channel>
</rss>
