<?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>membrane protein dynamics &#8211; Science</title>
	<atom:link href="https://scienmag.com/tag/membrane-protein-dynamics/feed/" rel="self" type="application/rss+xml" />
	<link>https://scienmag.com</link>
	<description></description>
	<lastBuildDate>Mon, 15 Jun 2026 20:33:30 +0000</lastBuildDate>
	<language>en-US</language>
	<sy:updatePeriod>
	hourly	</sy:updatePeriod>
	<sy:updateFrequency>
	1	</sy:updateFrequency>
	<generator>https://wordpress.org/?v=7.1</generator>

<image>
	<url>https://scienmag.com/wp-content/uploads/2024/07/cropped-scienmag_ico-32x32.jpg</url>
	<title>membrane protein dynamics &#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>Innovative Tool Advances Research on Essential Proteins</title>
		<link>https://scienmag.com/innovative-tool-advances-research-on-essential-proteins/</link>
		
		<dc:creator><![CDATA[Drew Townsend]]></dc:creator>
		<pubDate>Mon, 15 Jun 2026 20:33:30 +0000</pubDate>
				<category><![CDATA[Biology]]></category>
		<category><![CDATA[biological membrane processes]]></category>
		<category><![CDATA[fluorescence microscopy techniques]]></category>
		<category><![CDATA[intracellular trafficking studies]]></category>
		<category><![CDATA[lipid bilayer asymmetry]]></category>
		<category><![CDATA[lipid redistribution in membranes]]></category>
		<category><![CDATA[membrane protein dynamics]]></category>
		<category><![CDATA[programmed cell death mechanisms]]></category>
		<category><![CDATA[protein glycosylation research]]></category>
		<category><![CDATA[scramblase protein activity]]></category>
		<category><![CDATA[single-molecule fluorescence imaging]]></category>
		<category><![CDATA[single-protein resolution assays]]></category>
		<category><![CDATA[synthetic lipid vesicles]]></category>
		<guid isPermaLink="false">https://scienmag.com/innovative-tool-advances-research-on-essential-proteins/</guid>

					<description><![CDATA[A groundbreaking advancement in the study of membrane proteins has been unveiled by researchers from Weill Cornell Medicine and Ruhr University Bochum, introducing an innovative fluorescence imaging-based technique that measures the activity rates of individual scramblase proteins. This novel methodology surpasses conventional ensemble approaches by providing an unprecedented, single-molecule resolution into the dynamics of scramblases—integral [&#8230;]]]></description>
										<content:encoded><![CDATA[<p>A groundbreaking advancement in the study of membrane proteins has been unveiled by researchers from Weill Cornell Medicine and Ruhr University Bochum, introducing an innovative fluorescence imaging-based technique that measures the activity rates of individual scramblase proteins. This novel methodology surpasses conventional ensemble approaches by providing an unprecedented, single-molecule resolution into the dynamics of scramblases—integral proteins responsible for lipid redistribution across cell membranes, which play pivotal roles in numerous biological processes.</p>
<p>Scramblases function by disrupting the asymmetrical distribution of lipids within the bilayer membrane, a phenomenon critical for cellular activities such as membrane assembly, protein glycosylation, programmed cell death, muscle development, and intracellular trafficking. Despite their biological significance, dissecting scramblase activity at the single-protein level has been an enduring challenge due to limitations inherent in bulk assays, which rely on averaging responses from populations of proteins and thus obscure the intrinsic heterogeneity of scramblase dynamics.</p>
<p>The innovative technique developed by the team leverages fluorescent tagging of scramblase proteins incorporated into synthetic lipid vesicles that mimic cell membranes. By immobilizing individual vesicles on glass slides and employing high-resolution fluorescence microscopy, the researchers could isolate vesicles harboring precisely one scramblase protein. This allowed for direct, quantitative measurements of lipid scrambling rates on a per-protein basis, revealing a vast spectrum of activities that were previously masked by ensemble averaging.</p>
<p>Focusing initially on the scramblase activity of VDAC1—a mitochondrial membrane channel recently discovered to possess scramblase function—the team found that VDAC1 operates as a dimeric complex with scrambling rates varying dramatically between individual protein pairs. These rates ranged from fewer than 100 to over 1,000 lipids translocated per second, highlighting a significant functional heterogeneity likely attributable to differing dimer conformations. These data provide molecular-level validation for computational models predicting conformer-dependent scramblase efficiency.</p>
<p>Expanding the application of their platform, the researchers examined opsin, a well-known G protein-coupled receptor in photoreceptor cells with an unexpected secondary role as a potent scramblase. Remarkably, individual opsin molecules exhibited lipid translocation rates exceeding 10,000 lipids per second, an order of magnitude greater than VDAC1 dimers. This discovery not only reinforces opsin’s functional versatility but also exemplifies the sensitivity and breadth of the new imaging method.</p>
<p>This fluorescence imaging-based platform offers profound flexibility for studying the influence of membrane composition, lipid environment, and pharmacological agents on scramblase function. By linking protein structure to activity through correlative high-resolution imaging, it becomes possible to elucidate the mechanistic underpinnings of scramblase regulation and dysfunction in human disease contexts.</p>
<p>Further ambitions for the technique include probing related lipid translocators such as flippases and floppases, proteins that also contribute to membrane lipid asymmetry but operate through distinct mechanisms. The capacity to measure individual protein activity within defined vesicular systems heralds a new era for membrane biology and drug discovery, enabling precise targeting of scramblase functions in pathological states.</p>
<p>The methodology’s advancement stands on the shoulders of pioneering ensemble assays originally developed by the Menon laboratory but catapults the field forward by circumventing their averaging limitations. This shift unlocks the ability to study scramblase functional heterogeneity, which may be critical for understanding the molecular basis of disorders linked to membrane lipid imbalances and for the design of scramblase-specific modulators.</p>
<p>The study exemplifies the power of interdisciplinary collaboration, intertwining biochemistry, biophysics, and advanced microscopy to elucidate membrane protein dynamics. It underscores the importance of technical innovation in revealing biological complexity at scales previously inaccessible, reinforcing the centrality of single-molecule approaches in modern biomedical research.</p>
<p>As scramblases emerge as promising therapeutic targets in a spectrum of diseases—from neurodegeneration to cancer—the availability of this cutting-edge single-protein assay platform could accelerate the identification of novel modulators, enhance mechanistic understanding, and ultimately contribute to precision medicine strategies that manipulate membrane lipid asymmetry for clinical benefit.</p>
<p>The findings of this seminal study, published in <em>Nature Structural &amp; Molecular Biology</em>, reflect a significant leap forward in membrane protein research. By deciphering the kinetic variability and conformational dependencies of individual scramblase proteins, the work lays the groundwork for transformative research into the molecular machinery that governs cellular membrane architecture and function.</p>
<p>Subject of Research: Scramblase proteins; membrane lipid dynamics<br />
Article Title: New single-protein fluorescence imaging technique reveals heterogeneous scramblase activity<br />
News Publication Date: 15-Jun-2026<br />
Web References:</p>
<ul>
<li>Menon Lab’s research on VDAC1 as a scramblase: <a href="https://www.nature.com/articles/s41467-023-43570-y">https://www.nature.com/articles/s41467-023-43570-y</a>  </li>
<li>Opsin’s dual function as a scramblase: <a href="https://www.sciencedirect.com/science/article/pii/S0960982210016994?via%3Dihub">https://www.sciencedirect.com/science/article/pii/S0960982210016994?via%3Dihub</a><br />
References:<br />
Nature Structural &amp; Molecular Biology (Publication date: 15 June 2026)<br />
Image Credits: Dr. Anant Menon<br />
Keywords: Scramblase, lipid scrambling, VDAC1, opsin, single-protein analysis, fluorescence imaging, membrane proteins, biophysics, cell membrane dynamics, lipid transport, mitochondrial channels, molecular heterogeneity</li>
</ul>
]]></content:encoded>
					
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">166315</post-id>	</item>
		<item>
		<title>Photosensitizer Labeling Maps Lipid-Protein Interactomes</title>
		<link>https://scienmag.com/photosensitizer-labeling-maps-lipid-protein-interactomes/</link>
		
		<dc:creator><![CDATA[Ophelia Keating]]></dc:creator>
		<pubDate>Wed, 18 Feb 2026 23:40:32 +0000</pubDate>
				<category><![CDATA[Medicine]]></category>
		<category><![CDATA[cell-penetrant photosensitizers]]></category>
		<category><![CDATA[cellular membrane interactions]]></category>
		<category><![CDATA[lipid signaling pathways]]></category>
		<category><![CDATA[lipid-protein interactomes]]></category>
		<category><![CDATA[live-cell interactome mapping]]></category>
		<category><![CDATA[membrane protein dynamics]]></category>
		<category><![CDATA[oxidative crosslinking proximity labeling]]></category>
		<category><![CDATA[photocatalytic proximity labeling]]></category>
		<category><![CDATA[photosensitizer labeling]]></category>
		<category><![CDATA[POCA technology]]></category>
		<category><![CDATA[protein-lipid crosslinking]]></category>
		<category><![CDATA[singlet oxygen chemistry]]></category>
		<guid isPermaLink="false">https://scienmag.com/photosensitizer-labeling-maps-lipid-protein-interactomes/</guid>

					<description><![CDATA[In the intricate world of cellular biology, the dynamic interplay between proteins and lipids within cellular membranes governs numerous vital processes fundamental to life. These interactions are notoriously transient and complex, challenging researchers to develop techniques capable of capturing and characterizing them with precision inside living cells. Breaking new ground in this arena, a team [&#8230;]]]></description>
										<content:encoded><![CDATA[<p>In the intricate world of cellular biology, the dynamic interplay between proteins and lipids within cellular membranes governs numerous vital processes fundamental to life. These interactions are notoriously transient and complex, challenging researchers to develop techniques capable of capturing and characterizing them with precision inside living cells. Breaking new ground in this arena, a team of scientists led by Becker et al. has unveiled a novel platform that elegantly bridges the gap between protein and lipid interactomics. This innovative approach, termed Photosensitizer Oxidative Crosslinking-based Proximity Labeling (POCA), harnesses the power of singlet oxygen chemistry to illuminate these elusive cellular conversations with unprecedented clarity.</p>
<p>Cellular membranes are not mere static barriers but dynamic landscapes where proteins and lipids continuously engage in fleeting yet critical interactions, influencing membrane structure, signaling, and trafficking. Conventional proximity labeling methods, however, encounter intrinsic limitations—they often require distinct and chemically divergent approaches to probe protein and lipid partners separately. Becker and colleagues have surmounted this challenge by conceptualizing and implementing a singular photocatalytic platform leveraging cell-penetrant photosensitizer molecules capable of generating singlet oxygen in situ. This reactive oxygen species activates proximal molecular partners, facilitating covalent tagging that marks both proteins and lipids concurrently.</p>
<p>The POCA technology capitalizes on the well-established HaloTag protein-labeling system, ensuring straightforward and versatile implementation within live cells. By conjugating photosensitizers to HaloTag substrates, researchers can direct singlet oxygen generation with high spatial and temporal control, effectively ‘highlighting’ neighboring biomolecules. In a landmark feat, this approach successfully captures interactomes involving cholesterol—a lipid known to play diverse and critical roles in membrane physiology. The cholesterol-directed POCA revealed not only previously characterized cholesterol-binding proteins but also identified novel interactors, shedding light on protein complexes whose association fluctuates with intracellular cholesterol dynamics.</p>
<p>The investigation into cholesterol-mediated interactions extends our comprehension of cellular lipid regulation, illuminating pathways sensitive to the bioavailability of cholesterol. Furthermore, the platform’s sensitivity to physiological contexts was underscored by its ability to detect proteins preferentially associated with cholesterol uptake through native lipoprotein pathways, a reflection of cellular adaptation to environmental lipid supply. These revelations underscore POCA’s capability to faithfully capture the nuances of lipid-protein interplay in live, physiologically relevant conditions, a feat that has eluded many prior methodologies.</p>
<p>Beyond cholesterol, protein-directed iterations of the POCA system were deployed to unravel the complex networks of intracellular membrane protein complexes. Utilizing this refined approach, the study dissected the interactome landscape of Aster-B, a cholesterol transport protein integral to maintaining sterol homeostasis. They discovered sterol-dependent alterations in Aster-B’s interaction partners, demonstrating that lipid composition intricately modulates protein complexes at the membrane interface. Remarkably, the study also uncovered singlet oxygen-driven domain-specific crosslinking events within Aster proteins, highlighting previously unappreciated mechanisms of protein interaction stabilization potentially governed by oxidative chemistry.</p>
<p>This domain-specific crosslinking phenomenon points to a broader biological implication, suggesting that oxidative post-translational modifications, either physiological or stress-induced, may influence protein assembly and function at membrane domains. The ability of POCA to map such nuanced variations could pave the way for new insights into redox biology and its impact on membrane protein behavior. The method’s finesse in capturing these spatially and temporally resolved interactions sets a new benchmark for proximity labeling technologies.</p>
<p>The development of POCA is a testament to interdisciplinary innovation, blending chemical biology, biophysics, and cell biology. Importantly, its design leverages cell-permeant photosensitizers that can be tethered selectively, enabling targeted singlet oxygen generation without widespread cellular damage—a critical consideration for maintaining cellular integrity during probing. This precision makes POCA highly adaptable for diverse research contexts, from fundamental biological discovery to potential therapeutic target identification.</p>
<p>Moreover, the ease of use and compatibility of the POCA framework with existing cellular labeling tools promises rapid adoption in various laboratories. Its dual capacity to tag both protein and lipid interactomes simultaneously sets it apart, addressing a long-standing need for holistic mapping of membrane-associated molecular networks. By uniting these traditionally separate spheres of interactomics, researchers gain a richer, more integrated picture of membrane biology.</p>
<p>This breakthrough not only advances our understanding of membrane-associated biology but also offers a versatile platform to explore pathological states where protein-lipid interactions play pivotal roles, such as in neurodegeneration, cardiovascular disease, and cancer. The ability to monitor changes in interactomes under different physiological conditions or pharmacological interventions opens new research vistas for precision medicine approaches targeting membrane-associated dysfunctions.</p>
<p>Furthermore, the study highlights the importance of tailoring proximity labeling chemistries to the unique chemical environments of different biomolecules. Singlet oxygen-mediated labeling confers distinct advantages for probing hydrophobic lipid domains and transient protein assemblies, a contrast to traditional radical-based or enzymatic proximity labeling techniques. As the field progresses, integrating photochemical strategies like POCA with other molecular tools can deepen our understanding of cellular architecture and dynamics.</p>
<p>The future implications of this work are vast. POCA’s fundamentally innovative methodology can be extended to diverse membrane types, including organellar membranes and cellular junctions, revealing context-dependent interactomes that shape cellular physiology. Additionally, the technology holds promise for high-resolution temporal studies, capturing rapid interaction dynamics previously inaccessible due to technical constraints.</p>
<p>In sum, Becker et al.’s POCA platform represents a significant leap forward in membrane interactomics, marrying chemical ingenuity with biological relevance. This singlet oxygen-based photocatalytic proximity labeling not only bridges a critical methodological divide but also unveils new biological insights into cholesterol biology, protein complex assembly, and oxidative crosslinking phenomena. As researchers worldwide embrace and build upon this tool, the cellular membrane—once viewed solely as a passive boundary—may now be appreciated as a vibrant, intricately orchestrated hub of molecular interplay.</p>
<p>The intersection of photochemistry and cell biology heralded by POCA thus sets a transformative precedent. By harnessing light-driven chemistry to illuminate cellular interactions in their native milieu, this approach reinvents proximity labeling for the next generation of discovery, promising to reshape our molecular understanding of the living cell’s most fundamental interface.</p>
<hr />
<p><strong>Subject of Research</strong>: Development of a singlet oxygen-based photocatalytic proximity labeling platform (POCA) to capture both protein and lipid interactomes within cellular membranes.</p>
<p><strong>Article Title</strong>: Photosensitizer proximity labeling captures the lipid and protein interactomes.</p>
<p><strong>Article References</strong>:<br />
Becker, A.P., Biletch, E., Kennelly, J.P. <em>et al.</em> Photosensitizer proximity labeling captures the lipid and protein interactomes. <em>Nat Chem Biol</em> (2026). <a href="https://doi.org/10.1038/s41589-026-02140-1">https://doi.org/10.1038/s41589-026-02140-1</a></p>
<p><strong>Image Credits</strong>: AI Generated</p>
<p><strong>DOI</strong>: <a href="https://doi.org/10.1038/s41589-026-02140-1">https://doi.org/10.1038/s41589-026-02140-1</a></p>
]]></content:encoded>
					
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">137895</post-id>	</item>
	</channel>
</rss>
