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	<title>single-cell RNA sequencing &#8211; BIOENGINEER.ORG</title>
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	<title>single-cell RNA sequencing &#8211; BIOENGINEER.ORG</title>
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		<title>Single-Cell Sequencing Reveals Cerebral Cavernous Malformations Insights</title>
		<link>https://bioengineer.org/single-cell-sequencing-reveals-cerebral-cavernous-malformations-insights/</link>
		
		<dc:creator><![CDATA[Bioengineer]]></dc:creator>
		<pubDate>Sun, 25 Jan 2026 04:13:56 +0000</pubDate>
				<category><![CDATA[Cancer]]></category>
		<category><![CDATA[Cerebral cavernous malformations]]></category>
		<category><![CDATA[Endothelial cell dysfunction** **Kısaca Açıklama:** 1. **Cerebral cavernous malformations (CCMs):** Makalenin ana konusu. 2. **Single-cell RNA sequencing:** Çalışmanın kullandığı temel ve yenilik]]></category>
		<category><![CDATA[İşte bu içerik için uygun 5 etiket: **Cerebral cavernous malformations]]></category>
		<category><![CDATA[personalized medicine]]></category>
		<category><![CDATA[single-cell RNA sequencing]]></category>
		<category><![CDATA[Transcriptional landscape]]></category>
		<category><![CDATA[Vascular anomalies]]></category>
		<category><![CDATA[Vascular inflammation]]></category>
		<guid isPermaLink="false">https://bioengineer.org/single-cell-sequencing-reveals-cerebral-cavernous-malformations-insights/</guid>

					<description><![CDATA[In a groundbreaking study published in the journal “Angiogenesis,” researchers led by W. Zheng, L. Chen, and J. Ma have unveiled unprecedented insights into the transcriptional landscape of cerebral cavernous malformations (CCMs) through single-cell sequencing techniques. This innovative approach not only illuminates the cellular complexity of these vascular anomalies but also provides a deeper understanding [&#8230;]]]></description>
		
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">320572</post-id>	</item>
		<item>
		<title>Framework Reveals Tumor Metabolic Subtypes Through Single-Cell Data</title>
		<link>https://bioengineer.org/framework-reveals-tumor-metabolic-subtypes-through-single-cell-data/</link>
		
		<dc:creator><![CDATA[Bioengineer]]></dc:creator>
		<pubDate>Thu, 22 Jan 2026 22:57:47 +0000</pubDate>
				<category><![CDATA[Health]]></category>
		<category><![CDATA[hesaplamalı biyoloji]]></category>
		<category><![CDATA[İşte başlık ve içerik için 5 uygun etiket: **cancer metabolism]]></category>
		<category><![CDATA[Kişiselleştirilmiş Tıp]]></category>
		<category><![CDATA[metabolic subtypes]]></category>
		<category><![CDATA[Metabolik alt türler]]></category>
		<category><![CDATA[single-cell RNA sequencing]]></category>
		<category><![CDATA[Tek Hücre Analizi]]></category>
		<category><![CDATA[therapeutic targets** **Açıklama:** 1. **cancer metabolism:** Makalenin temel odağı tümörlerdeki metabolik süreçlerdir. 2. **tumor microenvironment (tümör mikroçevresi):** Çalışma]]></category>
		<category><![CDATA[tumor microenvironment]]></category>
		<category><![CDATA[Tümör mikroçevresi]]></category>
		<guid isPermaLink="false">https://bioengineer.org/framework-reveals-tumor-metabolic-subtypes-through-single-cell-data/</guid>

					<description><![CDATA[In the realm of cancer research, the intricate interplay of cellular microenvironments and metabolic processes has long been a focus for scientists aiming to decipher the complexities of tumor development and progression. A recent groundbreaking study conducted by a team of researchers led by K. Tang, Y. Han, and D. Sun, has introduced a novel [&#8230;]]]></description>
		
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">319523</post-id>	</item>
		<item>
		<title>Single-Cell Insights Into Weight Loss in Fat Tissue</title>
		<link>https://bioengineer.org/single-cell-insights-into-weight-loss-in-fat-tissue/</link>
		
		<dc:creator><![CDATA[Bioengineer]]></dc:creator>
		<pubDate>Mon, 12 Jan 2026 15:17:33 +0000</pubDate>
				<category><![CDATA[Health]]></category>
		<category><![CDATA[adipose tissue plasticity]]></category>
		<category><![CDATA[bariatric surgery metabolism]]></category>
		<category><![CDATA[obesity-induced inflammation]]></category>
		<category><![CDATA[single-cell RNA sequencing]]></category>
		<category><![CDATA[weight loss cellular dynamics]]></category>
		<guid isPermaLink="false">https://bioengineer.org/single-cell-insights-into-weight-loss-in-fat-tissue/</guid>

					<description><![CDATA[In a groundbreaking study poised to redefine our understanding of adipose tissue plasticity, researchers have revealed the profound cellular and molecular transformations that occur in human subcutaneous white adipose tissue (SAT) during weight loss. This research, focusing on individuals with severe obesity, traces the adaptive trajectories of SAT through distinct phases of weight reduction—lifestyle-induced modest [&#8230;]]]></description>
		
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">316162</post-id>	</item>
		<item>
		<title>Targeting Mitochondrial Gene HSPE1 in Osteosarcoma Treatment</title>
		<link>https://bioengineer.org/targeting-mitochondrial-gene-hspe1-in-osteosarcoma-treatment/</link>
		
		<dc:creator><![CDATA[Bioengineer]]></dc:creator>
		<pubDate>Thu, 08 Jan 2026 14:45:47 +0000</pubDate>
				<category><![CDATA[Health]]></category>
		<category><![CDATA[HSPE1 geni]]></category>
		<category><![CDATA[HSPE1 target]]></category>
		<category><![CDATA[Metin içeriğine uygun 5 etiket: **Osteosarkom tedavisi]]></category>
		<category><![CDATA[Mitochondrial genes]]></category>
		<category><![CDATA[Mitokondriyal terapi]]></category>
		<category><![CDATA[Multi-omics modeling]]></category>
		<category><![CDATA[Multi-omics modelleme** **Kısa açıklama:** * **Osteosarkom tedavisi:** Makalenin ana konusu. * **HSPE1 geni:** Araştırmanın odak]]></category>
		<category><![CDATA[Osteosarcoma Treatment]]></category>
		<category><![CDATA[Single-cell RNA sekanslama]]></category>
		<category><![CDATA[single-cell RNA sequencing]]></category>
		<guid isPermaLink="false">https://bioengineer.org/targeting-mitochondrial-gene-hspe1-in-osteosarcoma-treatment/</guid>

					<description><![CDATA[In an enlightening new study, researchers led by Pan, S., Hu, W., and Xie, P., have unveiled critical insights into the complexities of osteosarcoma through advanced single-cell and multi-omics integrative modeling methods. This groundbreaking research identifies mitochondrial gene HSPE1 as a pivotal therapeutic target, shedding light on the potential for new treatment avenues in a [&#8230;]]]></description>
		
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">314949</post-id>	</item>
		<item>
		<title>Mammalian Striatal Interneurons: Conserved or Changed?</title>
		<link>https://bioengineer.org/mammalian-striatal-interneurons-conserved-or-changed/</link>
		
		<dc:creator><![CDATA[Bioengineer]]></dc:creator>
		<pubDate>Thu, 06 Nov 2025 13:56:49 +0000</pubDate>
				<category><![CDATA[Health]]></category>
		<category><![CDATA[basal ganglia circuitry]]></category>
		<category><![CDATA[brain evolution]]></category>
		<category><![CDATA[cross-species neurobiology]]></category>
		<category><![CDATA[mammalian striatal interneurons]]></category>
		<category><![CDATA[single-cell RNA sequencing]]></category>
		<guid isPermaLink="false">https://bioengineer.org/mammalian-striatal-interneurons-conserved-or-changed/</guid>

					<description><![CDATA[A groundbreaking study recently published in Nature uncovers remarkable conservation and specific adaptations within the interneuronal architecture of the mammalian striatum, offering new insights into brain evolution and function. By leveraging cutting-edge single-cell sequencing technologies across an unprecedented diversity of mammalian species, researchers reveal how conserved neuronal types underpin fundamental brain circuitry while exhibiting nuanced [&#8230;]]]></description>
		
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">292601</post-id>	</item>
		<item>
		<title>Overcoming Batch Effects in Single-Cell RNA-seq Datasets</title>
		<link>https://bioengineer.org/overcoming-batch-effects-in-single-cell-rna-seq-datasets/</link>
		
		<dc:creator><![CDATA[Bioengineer]]></dc:creator>
		<pubDate>Sun, 02 Nov 2025 10:40:27 +0000</pubDate>
				<category><![CDATA[Biology]]></category>
		<category><![CDATA[batch effect correction]]></category>
		<category><![CDATA[computational biology]]></category>
		<category><![CDATA[data reproducibility]]></category>
		<category><![CDATA[Genomic data integration]]></category>
		<category><![CDATA[single-cell RNA sequencing]]></category>
		<guid isPermaLink="false">https://bioengineer.org/overcoming-batch-effects-in-single-cell-rna-seq-datasets/</guid>

					<description><![CDATA[In a groundbreaking study published in BMC Genomics, researchers Hrovatin, Moinfar, Zappia, and their colleagues delve into the complexities of integrating single-cell RNA sequencing (scRNA-seq) datasets while addressing the significant issue of batch effects. As the field of genomics rapidly advances, the ability to accurately analyze and interpret single-cell transcriptomic data has burgeoned. However, batch [&#8230;]]]></description>
		
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">290246</post-id>	</item>
		<item>
		<title>Cross-Study Map Reveals Heart Failure Cell Coordination</title>
		<link>https://bioengineer.org/cross-study-map-reveals-heart-failure-cell-coordination/</link>
		
		<dc:creator><![CDATA[Bioengineer]]></dc:creator>
		<pubDate>Fri, 31 Oct 2025 20:19:39 +0000</pubDate>
				<category><![CDATA[Health]]></category>
		<category><![CDATA[cardiac remodeling]]></category>
		<category><![CDATA[heart failure]]></category>
		<category><![CDATA[multicellular coordination]]></category>
		<category><![CDATA[single-cell RNA sequencing]]></category>
		<category><![CDATA[transcriptional profiling]]></category>
		<guid isPermaLink="false">https://bioengineer.org/cross-study-map-reveals-heart-failure-cell-coordination/</guid>

					<description><![CDATA[In a groundbreaking new study published in Nature Communications, scientists have unveiled a comprehensive cross-study transcriptional patient map of heart failure that delineates the conserved multicellular coordination underlying cardiac remodeling. This pioneering research sheds unprecedented light on the intricate cellular choreography that governs the progression of heart failure, a global health crisis affecting millions of [&#8230;]]]></description>
		
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">289888</post-id>	</item>
		<item>
		<title>New Algorithm Reveals Genetic Links Between Alzheimer’s Disease and Specific Neurons</title>
		<link>https://bioengineer.org/new-algorithm-reveals-genetic-links-between-alzheimers-disease-and-specific-neurons/</link>
		
		<dc:creator><![CDATA[Bioengineer]]></dc:creator>
		<pubDate>Wed, 22 Oct 2025 17:37:37 +0000</pubDate>
				<category><![CDATA[Biology]]></category>
		<category><![CDATA[Alzheimer’s disease genetics]]></category>
		<category><![CDATA[computational neuroscience algorithms]]></category>
		<category><![CDATA[GWAS and brain cell mapping]]></category>
		<category><![CDATA[neurodegenerative disease mechanisms]]></category>
		<category><![CDATA[single-cell RNA sequencing]]></category>
		<guid isPermaLink="false">https://bioengineer.org/new-algorithm-reveals-genetic-links-between-alzheimers-disease-and-specific-neurons/</guid>

					<description><![CDATA[In a groundbreaking advance poised to transform the field of neurodegenerative disease research, scientists at Rice University, in collaboration with Boston University, have developed a novel computational tool that elucidates the specific brain cell types genetically linked to complex diseases such as Alzheimer’s and Parkinson’s. This innovative approach, aptly named the “Single-cell Expression Integration System [&#8230;]]]></description>
		
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">285293</post-id>	</item>
		<item>
		<title>HMGN1 Drives Heart Defects in Trisomy 21</title>
		<link>https://bioengineer.org/hmgn1-drives-heart-defects-in-trisomy-21/</link>
		
		<dc:creator><![CDATA[Bioengineer]]></dc:creator>
		<pubDate>Wed, 22 Oct 2025 16:33:14 +0000</pubDate>
				<category><![CDATA[Health]]></category>
		<category><![CDATA[CRISPR activation]]></category>
		<category><![CDATA[epigenetic regulation]]></category>
		<category><![CDATA[HMGN1]]></category>
		<category><![CDATA[single-cell RNA sequencing]]></category>
		<category><![CDATA[Trisomy 21 heart defects]]></category>
		<guid isPermaLink="false">https://bioengineer.org/hmgn1-drives-heart-defects-in-trisomy-21/</guid>

					<description><![CDATA[In a groundbreaking study published in Nature, researchers have unveiled a sophisticated functional genomics strategy that unravels the molecular underpinnings of congenital heart defects (CHDs) in Down syndrome (DS), focusing on the enigmatic role of the epigenetic regulator HMGN1. By leveraging single-cell RNA sequencing (scRNA-seq) alongside CRISPR activation (CRISPRa), the team overcame formidable technical barriers [&#8230;]]]></description>
		
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">285253</post-id>	</item>
		<item>
		<title>Transferability of Self-Supervised Learning in Transcriptomics</title>
		<link>https://bioengineer.org/transferability-of-self-supervised-learning-in-transcriptomics/</link>
		
		<dc:creator><![CDATA[Bioengineer]]></dc:creator>
		<pubDate>Mon, 13 Oct 2025 20:08:56 +0000</pubDate>
				<category><![CDATA[Technology]]></category>
		<category><![CDATA[data sparsity]]></category>
		<category><![CDATA[model transferability]]></category>
		<category><![CDATA[Self-Supervised Learning]]></category>
		<category><![CDATA[single-cell RNA sequencing]]></category>
		<category><![CDATA[Spatial transcriptomics]]></category>
		<guid isPermaLink="false">https://bioengineer.org/transferability-of-self-supervised-learning-in-transcriptomics/</guid>

					<description><![CDATA[Self-supervised learning (SSL) has gained recognition as a transformative approach for effectively extracting meaningful representations from extensive unlabelled datasets in the field of single-cell genomics. The recent work by Richter et al. highlighted the potential of SSL pretext tasks in modeling single-cell RNA sequencing (scRNA-seq) data, marking significant advancements in how researchers approach data interpretation [&#8230;]]]></description>
		
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">280202</post-id>	</item>
		<item>
		<title>SMOC1 Identified as Key Gene in β-Cell Dedifferentiation</title>
		<link>https://bioengineer.org/smoc1-identified-as-key-gene-in-%ce%b2-cell-dedifferentiation/</link>
		
		<dc:creator><![CDATA[Bioengineer]]></dc:creator>
		<pubDate>Tue, 07 Oct 2025 09:44:39 +0000</pubDate>
				<category><![CDATA[Health]]></category>
		<category><![CDATA[diabetes pathogenesis]]></category>
		<category><![CDATA[pancreatic islet cellular heterogeneity]]></category>
		<category><![CDATA[single-cell RNA sequencing]]></category>
		<category><![CDATA[single-cell RNA sequencing in diabetes research]]></category>
		<category><![CDATA[SMOC1 gene]]></category>
		<category><![CDATA[SMOC1 gene in β-cell dedifferentiation]]></category>
		<category><![CDATA[therapeutic targeting of β-cell identity]]></category>
		<category><![CDATA[α-cell and β-cell plasticity]]></category>
		<category><![CDATA[α-cell heterogeneity]]></category>
		<category><![CDATA[β-cell dedifferentiation]]></category>
		<guid isPermaLink="false">https://bioengineer.org/smoc1-identified-as-key-gene-in-%ce%b2-cell-dedifferentiation/</guid>

					<description><![CDATA[In a groundbreaking study published in Nature Communications, a multinational team of researchers has unveiled new insights into the cellular complexity of the human pancreas, specifically dissecting the heterogeneity of α-cells and uncovering a pivotal gene linked to β-cell dedifferentiation. This discovery holds significant implications for our understanding of diabetes pathogenesis and the potential development [&#8230;]]]></description>
		
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">276815</post-id>	</item>
		<item>
		<title>cDC3s Impair Anti-TNF-α Therapy in Ulcerative Colitis</title>
		<link>https://bioengineer.org/cdc3s-impair-anti-tnf-%ce%b1-therapy-in-ulcerative-colitis/</link>
		
		<dc:creator><![CDATA[Bioengineer]]></dc:creator>
		<pubDate>Mon, 06 Oct 2025 05:36:38 +0000</pubDate>
				<category><![CDATA[Health]]></category>
		<category><![CDATA[anti-TNF-α therapy]]></category>
		<category><![CDATA[cDC3s]]></category>
		<category><![CDATA[immune dysregulation]]></category>
		<category><![CDATA[single-cell RNA sequencing]]></category>
		<category><![CDATA[ulcerative colitis]]></category>
		<guid isPermaLink="false">https://bioengineer.org/cdc3s-impair-anti-tnf-%ce%b1-therapy-in-ulcerative-colitis/</guid>

					<description><![CDATA[In a groundbreaking study published in the Journal of Translational Medicine, researchers have unveiled significant insights into the role of different immune cell populations in ulcerative colitis (UC) and their response to anti-tumor necrosis factor-alpha (anti-TNF-α) therapy. The study conducted by Li, Ma, Nie, and their team leverages cutting-edge single-cell RNA sequencing technology to elucidate [&#8230;]]]></description>
		
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">276154</post-id>	</item>
		<item>
		<title>Neuron-Reactive KIR+CD8+ T Cells Drive Autoimmune Encephalitis</title>
		<link>https://bioengineer.org/neuron-reactive-kircd8-t-cells-drive-autoimmune-encephalitis/</link>
		
		<dc:creator><![CDATA[Bioengineer]]></dc:creator>
		<pubDate>Tue, 30 Sep 2025 06:42:40 +0000</pubDate>
				<category><![CDATA[Health]]></category>
		<category><![CDATA[autoimmune encephalitis]]></category>
		<category><![CDATA[cytotoxic T lymphocytes]]></category>
		<category><![CDATA[KIR+CD8+ T cells]]></category>
		<category><![CDATA[neuroinflammation mechanisms]]></category>
		<category><![CDATA[single-cell RNA sequencing]]></category>
		<guid isPermaLink="false">https://bioengineer.org/neuron-reactive-kircd8-t-cells-drive-autoimmune-encephalitis/</guid>

					<description><![CDATA[In a groundbreaking study published in Nature Communications, researchers have unveiled a novel population of immune cells that could redefine our understanding of autoimmune encephalitis. This complex neurological disorder, characterized by the immune system’s attack on the brain, has long puzzled scientists seeking to pinpoint the exact cellular culprits behind its pathogenesis. The team, led [&#8230;]]]></description>
		
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">273596</post-id>	</item>
		<item>
		<title>See-Through Worms Illuminate Evolutionary Mysteries</title>
		<link>https://bioengineer.org/see-through-worms-illuminate-evolutionary-mysteries/</link>
		
		<dc:creator><![CDATA[Bioengineer]]></dc:creator>
		<pubDate>Thu, 19 Jun 2025 19:12:39 +0000</pubDate>
				<category><![CDATA[Biology]]></category>
		<category><![CDATA[embryonic development]]></category>
		<category><![CDATA[evolutionary biology]]></category>
		<category><![CDATA[gene expression evolution]]></category>
		<category><![CDATA[nematode genetics]]></category>
		<category><![CDATA[single-cell RNA sequencing]]></category>
		<guid isPermaLink="false">https://bioengineer.org/see-through-worms-illuminate-evolutionary-mysteries/</guid>

					<description><![CDATA[In a groundbreaking exploration of evolutionary biology and developmental genetics, scientists have unveiled strikingly conserved gene expression patterns between two closely related nematode species, Caenorhabditis elegans and Caenorhabditis briggsae. Separated by an evolutionary gulf of approximately 20 million years, these tiny soil-dwelling roundworms reveal a remarkable level of cellular and molecular coherence in how their [&#8230;]]]></description>
		
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">249931</post-id>	</item>
		<item>
		<title>Single-Cell Study Uncovers Immune Variability in Sclerosis</title>
		<link>https://bioengineer.org/single-cell-study-uncovers-immune-variability-in-sclerosis/</link>
		
		<dc:creator><![CDATA[Bioengineer]]></dc:creator>
		<pubDate>Tue, 17 Jun 2025 13:46:38 +0000</pubDate>
				<category><![CDATA[Health]]></category>
		<category><![CDATA[clinical heterogeneity in sclerosis]]></category>
		<category><![CDATA[immune cell landscape mapping]]></category>
		<category><![CDATA[immune variability in systemic sclerosis]]></category>
		<category><![CDATA[personalized immunotherapies]]></category>
		<category><![CDATA[single-cell RNA sequencing]]></category>
		<guid isPermaLink="false">https://bioengineer.org/single-cell-study-uncovers-immune-variability-in-sclerosis/</guid>

					<description><![CDATA[In a groundbreaking study published in Nature Communications, researchers led by Shimagami, Nishimura, and Matsushita have unveiled a complex and nuanced portrait of systemic sclerosis (SSc), a debilitating autoimmune disorder characterized by excessive fibrosis and vascular abnormalities. By harnessing the power of cutting-edge single-cell RNA sequencing technologies, the team has elucidated the intricate immune cell [&#8230;]]]></description>
		
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">249584</post-id>	</item>
		<item>
		<title>DiosMetin Targets INF2: New Colorectal Therapy</title>
		<link>https://bioengineer.org/diosmetin-targets-inf2-new-colorectal-therapy/</link>
		
		<dc:creator><![CDATA[Bioengineer]]></dc:creator>
		<pubDate>Mon, 02 Jun 2025 07:48:53 +0000</pubDate>
				<category><![CDATA[Cancer]]></category>
		<category><![CDATA[Colorectal cancer therapy]]></category>
		<category><![CDATA[DiosMetin 7-O-β-D-Glucuronide]]></category>
		<category><![CDATA[INF2 biomarker]]></category>
		<category><![CDATA[Precision oncology advancements]]></category>
		<category><![CDATA[single-cell RNA sequencing]]></category>
		<guid isPermaLink="false">https://bioengineer.org/diosmetin-targets-inf2-new-colorectal-therapy/</guid>

					<description><![CDATA[Colorectal cancer (CRC) remains one of the most formidable challenges in oncology, ranking as the third most prevalent malignancy within the gastrointestinal tract and occupying the position of the second leading cause of cancer-related mortality worldwide. For decades, researchers have pursued the identification of molecular targets that could enable the development of efficacious, precision therapies. [&#8230;]]]></description>
		
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">247853</post-id>	</item>
		<item>
		<title>Decoding Microglia Diversity in Brain Development, Disease</title>
		<link>https://bioengineer.org/decoding-microglia-diversity-in-brain-development-disease/</link>
		
		<dc:creator><![CDATA[Bioengineer]]></dc:creator>
		<pubDate>Thu, 22 May 2025 10:31:03 +0000</pubDate>
				<category><![CDATA[Health]]></category>
		<category><![CDATA[brain development and disease]]></category>
		<category><![CDATA[microglia diversity]]></category>
		<category><![CDATA[microglial heterogeneity]]></category>
		<category><![CDATA[neurodegeneration]]></category>
		<category><![CDATA[single-cell RNA sequencing]]></category>
		<guid isPermaLink="false">https://bioengineer.org/decoding-microglia-diversity-in-brain-development-disease/</guid>

					<description><![CDATA[The Complexity of Microglia: Unraveling Cellular Diversity and Function Within the Central Nervous System Microglia, the resident immune cells of the central nervous system (CNS), have long been recognized as key players in brain health and disease. Traditionally considered the brain’s cleanup crew, responsible for phagocytosis of debris and pathogens, recent advances have vastly expanded [&#8230;]]]></description>
		
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">246348</post-id>	</item>
		<item>
		<title>Distinct Cellular Populations Uncovered in the Transcriptional Landscape of Pancreatic Ductal Adenocarcinoma</title>
		<link>https://bioengineer.org/distinct-cellular-populations-uncovered-in-the-transcriptional-landscape-of-pancreatic-ductal-adenocarcinoma/</link>
		
		<dc:creator><![CDATA[Bioengineer]]></dc:creator>
		<pubDate>Mon, 17 Mar 2025 16:33:03 +0000</pubDate>
				<category><![CDATA[Cancer]]></category>
		<category><![CDATA[distinct cellular populations]]></category>
		<category><![CDATA[lymph node metastasis]]></category>
		<category><![CDATA[Pancreatic ductal adenocarcinoma]]></category>
		<category><![CDATA[single-cell RNA sequencing]]></category>
		<category><![CDATA[tumor microenvironment]]></category>
		<guid isPermaLink="false">https://bioengineer.org/distinct-cellular-populations-uncovered-in-the-transcriptional-landscape-of-pancreatic-ductal-adenocarcinoma/</guid>

					<description><![CDATA[Pancreatic cancer remains a formidable adversary in the realm of oncology, characterized by its stealthy progression and dire prognosis. Among its variants, pancreatic ductal adenocarcinoma (PDAC) is particularly notorious, accounting for approximately 90% of all pancreatic cancer cases. Early detection is rare, largely due to the subtlety of initial symptoms, which often leads to a [&#8230;]]]></description>
		
		
		
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