<?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>organoid technology in research &#8211; Science</title>
	<atom:link href="https://scienmag.com/tag/organoid-technology-in-research/feed/" rel="self" type="application/rss+xml" />
	<link>https://scienmag.com</link>
	<description></description>
	<lastBuildDate>Thu, 18 Dec 2025 02:27:46 +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>organoid technology in research &#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>Human Assembloids Model Periportal Liver In Vitro</title>
		<link>https://scienmag.com/human-assembloids-model-periportal-liver-in-vitro/</link>
		
		<dc:creator><![CDATA[Denise Maddox]]></dc:creator>
		<pubDate>Thu, 18 Dec 2025 02:27:46 +0000</pubDate>
				<category><![CDATA[Medicine]]></category>
		<category><![CDATA[Technology and Engineering]]></category>
		<category><![CDATA[cholangiocyte organoids integration]]></category>
		<category><![CDATA[drug-metabolizing enzyme expression]]></category>
		<category><![CDATA[hepatocyte organoids cultivation]]></category>
		<category><![CDATA[human liver assembloids]]></category>
		<category><![CDATA[in vitro liver disease model]]></category>
		<category><![CDATA[liver disease mechanisms]]></category>
		<category><![CDATA[liver pathology modeling]]></category>
		<category><![CDATA[organoid technology in research]]></category>
		<category><![CDATA[patient-specific liver research]]></category>
		<category><![CDATA[periportal liver architecture]]></category>
		<category><![CDATA[personalized hepatic physiology]]></category>
		<category><![CDATA[spatial complexity of liver]]></category>
		<guid isPermaLink="false">https://scienmag.com/human-assembloids-model-periportal-liver-in-vitro/</guid>

					<description><![CDATA[In a groundbreaking development poised to revolutionize liver disease research, scientists have engineered sophisticated human liver assembloids that mimic the intricate periportal architecture of native human liver tissue. This pioneering achievement provides a highly versatile, patient-specific in vitro platform that promises to advance our understanding of liver function, disease mechanisms, and therapeutic responses with unprecedented [&#8230;]]]></description>
										<content:encoded><![CDATA[<p>In a groundbreaking development poised to revolutionize liver disease research, scientists have engineered sophisticated human liver assembloids that mimic the intricate periportal architecture of native human liver tissue. This pioneering achievement provides a highly versatile, patient-specific in vitro platform that promises to advance our understanding of liver function, disease mechanisms, and therapeutic responses with unprecedented precision.</p>
<p>The liver, a complex organ fundamental to metabolism, detoxification, and bile secretion, relies on the meticulous organization and interaction of diverse cell types. Disruption of this cellular harmony frequently culminates in liver pathologies characterized by cholestasis, fibrosis, and ultimately cirrhosis or malignancies. Traditional models have struggled to faithfully recapitulate the spatial and functional complexity of human liver, particularly the periportal region, which harbors critical hepatocyte subpopulations interfacing with bile ducts and portal mesenchyme.</p>
<p>Addressing these challenges, the research team succeeded in cultivating long-term-expandable human hepatocyte organoids (h-HepOrgs) derived from adult patient liver biopsies. These organoids retain vital drug-metabolizing enzyme expression and can be propagated while preserving patient-specific genetic and metabolic traits, including variations in disease susceptibility loci. This marks a substantial advance towards personalized modeling of hepatic physiology and pathology.</p>
<p>Crucially, the researchers integrated h-HepOrgs with human cholangiocyte organoids (h-CholOrgs) and portal mesenchymal cells, architecting multi-lineage periportal liver assembloids that recapitulate key structural and functional features of the native tissue. These assembloids exhibit biliary canaliculi with morphology reflective of natural bile ducts alongside complex cellular interactions reminiscent of the periportal microenvironment, underscoring the fidelity of this model system.</p>
<p>At the cellular level, these assembloids display zonation-related hepatocyte gene expression heterogeneity, mirroring in vivo liver zonation patterns. This spatially organized gene expression is fundamental for hepatic metabolic compartmentalization and reflects the sophisticated tissue architecture that underpins liver function. Interestingly, variability in bile canalicular morphology among organoids from different patients hints at intrinsic interindividual differences, although further investigations are warranted to confirm these observations.</p>
<p>The interplay between hepatocytes, cholangiocytes, and portal mesenchymal cells within the assembloids suggests that direct cellular crosstalk may be sufficient to establish portal-region specific cellular identities. However, questions remain regarding whether initial hepatocyte subpopulation composition influences their responsiveness to microenvironmental cues that shape zonation and function. The team’s platform, described as modular and ‘self-organizing Lego-like,’ allows precise manipulation of individual cell types, enabling dissection of the molecular dialogues orchestrating human liver microarchitecture.</p>
<p>Beyond fundamental biology, these assembloids hold immense potential for translational research. By modulating the relative abundance of portal mesenchymal cells, the scientists generated assembloids that model key features of cholestatic liver disease and biliary fibrosis, diseases characterized by pathological bile accumulation and extracellular matrix remodeling. These disease-relevant models provide a valuable tool for probing fibrogenic signaling pathways and evaluating candidate antifibrotic therapies in a patient-specific context.</p>
<p>Nevertheless, the current model does not incorporate the full complexity of the periportal triad, notably lacking other mesenchymal subsets, immune populations, and vasculature elements such as the portal vein and hepatic artery. Inclusion of these components in future iterations will be essential to recapitulate the intricate multicellular milieu driving liver homeostasis and pathogenesis fully. Despite this limitation, the assembloids represent a significant leap toward robust human liver models.</p>
<p>The long-term expandability of h-HepOrgs with preserved drug metabolism and patient genetic diversity opens pathways for personalized toxicology and pharmacology studies. This platform could facilitate screening for idiosyncratic drug-induced liver injury and optimize therapeutic regimens tailored to individual metabolic capacities, a major step forward in precision medicine. Additionally, the potential for cellular transplantation strategies also emerges from this work, offering hope for regenerative therapies.</p>
<p>Mechanistic investigations leveraging this novel model could yield critical insights into how microenvironmental signals specify hepatocyte identity and maintain zonation in human liver, phenomena previously difficult to interrogate due to limited access to viable human tissue and inadequate in vitro models. The ability to systematically manipulate each cell type within a controlled setting introduces a powerful experimental paradigm for dissecting liver biology.</p>
<p>Moreover, the scalability and modularity of the assembloid system may expedite disease modeling across diverse patient populations, capturing the heterogeneity that defines human liver diseases. This aspect positions the technology as a valuable asset for comparative studies investigating genetic predispositions, environmental influences, and complex interactions underlying chronic liver conditions.</p>
<p>In summary, the establishment of human periportal liver assembloids combining patient-derived hepatocyte, cholangiocyte, and mesenchymal lineages constitutes a transformative platform. It enables not only fundamental elucidation of hepatic architecture and physiology but also advances personalized approaches to liver disease modeling, drug discovery, and potential regenerative medicine applications. This technology heralds a new era in the study and treatment of human liver diseases.</p>
<p>Subject of Research: Development of human liver assembloids that replicate periportal tissue organization for modeling liver physiology and disease.</p>
<p>Article Title: Human assembloids recapitulate periportal liver tissue in vitro.</p>
<p>Article References:<br />
Yuan, L., Dawka, S., Kim, Y. et al. Human assembloids recapitulate periportal liver tissue in vitro. Nature (2025). https://doi.org/10.1038/s41586-025-09884-1</p>
<p>Image Credits: AI Generated</p>
<p>DOI: https://doi.org/10.1038/s41586-025-09884-1</p>
]]></content:encoded>
					
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">118829</post-id>	</item>
		<item>
		<title>From Petri Dish to Patient: Organoids Advance Personalized Cancer Treatment</title>
		<link>https://scienmag.com/from-petri-dish-to-patient-organoids-advance-personalized-cancer-treatment/</link>
		
		<dc:creator><![CDATA[Nathaniel Bowman]]></dc:creator>
		<pubDate>Thu, 25 Sep 2025 14:33:38 +0000</pubDate>
				<category><![CDATA[Cancer]]></category>
		<category><![CDATA[biotechnology in cancer therapy]]></category>
		<category><![CDATA[cancer drug sensitivity prediction]]></category>
		<category><![CDATA[cancer research innovations]]></category>
		<category><![CDATA[genomic heterogeneity in cancer]]></category>
		<category><![CDATA[individualized treatment regimens]]></category>
		<category><![CDATA[limitations of traditional cancer models]]></category>
		<category><![CDATA[organoid technology in research]]></category>
		<category><![CDATA[patient-derived tumor organoids]]></category>
		<category><![CDATA[personalized cancer treatment]]></category>
		<category><![CDATA[precision oncology advancements]]></category>
		<category><![CDATA[three-dimensional cell culture technology]]></category>
		<category><![CDATA[tumor microenvironment modeling]]></category>
		<guid isPermaLink="false">https://scienmag.com/from-petri-dish-to-patient-organoids-advance-personalized-cancer-treatment/</guid>

					<description><![CDATA[In the relentless quest to decode the complexities of cancer, a transformative model is emerging — patient-derived tumor organoids (PDOs). These tiny, three-dimensional cellular structures faithfully recapitulate the genetic heterogeneity and microenvironment of human tumors, offering unprecedented insights into tumor biology and therapeutic response. Unlike traditional two-dimensional cell cultures or animal models, which have long [&#8230;]]]></description>
										<content:encoded><![CDATA[<p>In the relentless quest to decode the complexities of cancer, a transformative model is emerging — patient-derived tumor organoids (PDOs). These tiny, three-dimensional cellular structures faithfully recapitulate the genetic heterogeneity and microenvironment of human tumors, offering unprecedented insights into tumor biology and therapeutic response. Unlike traditional two-dimensional cell cultures or animal models, which have long posed limitations in mimicking actual human cancer dynamics, PDOs bridge the gap between experimental research and clinical reality, ushering in a new era of precision oncology.</p>
<p>At the core of organoid technology lies the ability to cultivate miniature tumors from patient biopsy samples or pluripotent stem cells, preserving critical features such as genomic aberrations, cellular diversity, and tumor microenvironment components. This level of fidelity enables researchers to investigate cancer as a living ecosystem, where cellular interplay drives growth, metastasis, and resistance mechanisms. Reflecting the complexity of in vivo tumors, organoids have demonstrated remarkable reproducibility in predicting patient-specific drug sensitivity, a capability that has the potential to transform individualized treatment regimens and drastically reduce the trial-and-error approach in oncology.</p>
<p>The limitations inherent to conventional models have been a significant bottleneck in cancer research. Flat cell cultures often lose phenotypic heterogeneity over time and lack the stromal and immune context necessary for authentic tumor modeling. Animal models, while invaluable, suffer from species differences that can skew therapeutic outcomes and are constrained by ethical and financial considerations. PDOs circumvent many of these challenges by capturing patient-specific tumor features ex vivo, enabling real-time functional assays that are both scalable and more reflective of patient biology.</p>
<p>One of the most striking advantages of PDOs lies in their application for high-throughput drug screening. By generating biobanks of organoids from diverse tumor types, including colorectal, gastric, pulmonary, and breast cancers, researchers can rapidly assay the efficacy of chemotherapeutics, targeted agents, and immunotherapies. This approach has shown compelling concordance with clinical responses, offering a predictive platform that personalizes therapy selection and expedites the identification of effective treatment combinations.</p>
<p>Moreover, PDOs facilitate the study of tumor-immune interactions through sophisticated co-culture systems with stromal and immune cells. These integrated models provide a novel in vitro avenue to evaluate the mechanisms underlying immune evasion and response to immunotherapies such as checkpoint inhibitors and chimeric antigen receptor T-cell (CAR-T) therapies. The ability to simulate the tumor microenvironment (TME) in 3D cultures marks a pivotal step in understanding cancer immunology, enabling researchers to decipher resistance pathways and optimize immunotherapeutic strategies.</p>
<p>Technological innovations are amplifying the scope and depth of organoid research. The advent of microfluidic “organoid-on-a-chip” platforms introduces dynamic environmental controls, enabling the modeling of processes like metastasis, angiogenesis, and drug pharmacokinetics with unprecedented precision. When combined with cutting-edge single-cell RNA sequencing and mass spectrometry-based proteomics, these tools unravel the molecular heterogeneity and signaling networks within tumors, revealing novel biomarkers and therapeutic targets previously obscured in bulk analyses.</p>
<p>Crucially, PDOs are proving instrumental in accelerating cancer vaccine development. By preserving patient-specific neoantigens and simulating immune response ex vivo, organoid models allow for the screening and validation of vaccine candidates tailored to the tumor’s antigenic landscape. This innovative approach portends a future where personalized cancer vaccines can be designed rapidly and tested efficiently, ushering in a paradigm shift in immunoprevention and therapy.</p>
<p>Despite their immense promise, PDO systems are not without challenges. The cultivation process remains resource-intensive, requiring specialized expertise and infrastructure. Furthermore, the absence of vascularization and the incomplete integration of immune components limit the full replication of tumor physiology over extended culture periods. Addressing these limitations demands ongoing refinement of co-culture protocols and bioengineering approaches to incorporate vasculature and more comprehensive immune cell repertoires, ultimately enhancing the translational relevance of organoids.</p>
<p>The translational impact of organoid technology reverberates beyond laboratory research. Clinicians increasingly utilize PDO-guided drug response profiles to tailor therapies, minimizing exposure to ineffective regimens and associated toxicities. This clinically actionable insight into tumor behavior elevates individualized care and informs real-time adjustments in treatment plans. Concurrently, pharmaceutical development benefits from organoid platforms by streamlining preclinical drug testing, reducing costs, and decreasing reliance on animal models while enhancing predictive validity.</p>
<p>Underpinning this paradigm shift, a recent comprehensive review by scientists at Peking University People&#8217;s Hospital synthesizes the current landscape of organoid research in cancer modeling and therapeutic discovery. Published in the journal <em>Cancer Biology &amp; Medicine</em>, their analysis elucidates the functional attributes of patient-derived organoids, their applications in drug testing and immunotherapy, and the persisting challenges impeding broader clinical adoption. The review highlights the integrative potential of combining organoids with multi-omics and microengineering technologies as the vanguard of precision oncology innovation.</p>
<p>As research continues to refine and expand the organoid toolkit, the vision of modeling human cancer as a living, patient-specific ecosystem becomes increasingly tangible. PDOs are poised to revolutionize how therapies are developed, validated, and personalized, narrowing the translational gap that has long hindered progress. The convergence of patient-derived models with advanced analytical technologies charts a pathway toward predictive, efficient, and bespoke cancer care that holds transformative promise not only for patients but for the entire oncology research community.</p>
<p>In the words of Dr. Kezhong Chen, senior author of the review, “Organoids have transformed the way we approach cancer research. They allow us to study tumors as living ecosystems, capturing both genetic complexity and immune dynamics. This means we can test therapies in conditions far closer to reality and predict how individual patients might respond. The potential is immense—not only for refining today’s treatments but also for developing tomorrow’s personalized cancer vaccines.” This powerful testament underscores the revolutionary impact organoids wield in shaping the future of cancer medicine, bridging the divide between bench and bedside with unprecedented fidelity.</p>
<p>The integration of organoid technology into the continuum of cancer research and clinical practice heralds a new chapter in the fight against cancer. From enabling mechanistic dissection of tumor biology to facilitating tailored therapeutic discovery and vaccine development, organoids serve as a versatile, high-fidelity platform. Though hurdles remain in standardization, scalability, and long-term culture stability, ongoing innovations in bioengineering and co-culture methodologies promise to surmount these barriers. Ultimately, patient-derived tumor organoids stand as a beacon of hope in oncology, advancing the cause of personalized medicine and translating scientific insight into tangible patient benefit.</p>
<p>Subject of Research: Cancer modeling and therapeutic discovery using patient-derived tumor organoids</p>
<p>Article Title: Functional characteristics, applications, and limitations of patient-derived tumor organoids in cancer modeling and therapeutic discovery</p>
<p>News Publication Date: 24-Jul-2025</p>
<p>Web References:<br />
<a href="http://dx.doi.org/10.20892/j.issn.2095-3941.2025.0127">http://dx.doi.org/10.20892/j.issn.2095-3941.2025.0127</a></p>
<p>References:<br />
DOI: 10.20892/j.issn.2095-3941.2025.0127</p>
<p>Image Credits: Cancer Biology &amp; Medicine</p>
<p>Keywords: Organoids, tumor microenvironment, cancer modeling, precision oncology, immunotherapy, drug screening, tumor heterogeneity, patient-derived models, organoid-on-a-chip, cancer vaccines, single-cell sequencing, proteomics</p>
]]></content:encoded>
					
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">81933</post-id>	</item>
	</channel>
</rss>
