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	<title>RNA-Seq Blog</title>
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	<link>https://www.rna-seqblog.com/</link>
	<description>Transcriptome Research &#38; Industry News</description>
	<lastBuildDate>Tue, 09 Jun 2026 11:18:16 +0000</lastBuildDate>
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		<title>Multiple AI models improve cell type identification in single-cell RNA sequencing</title>
		<link>https://www.rna-seqblog.com/multiple-ai-models-improve-cell-type-identification-in-single-cell-rna-sequencing/</link>
		
		<dc:creator><![CDATA[RNA-Seq Blog]]></dc:creator>
		<pubDate>Tue, 09 Jun 2026 11:17:47 +0000</pubDate>
				<category><![CDATA[Annotation]]></category>
		<category><![CDATA[Cell Type Analysis]]></category>
		<category><![CDATA[Publications]]></category>
		<category><![CDATA[artificial intelligence]]></category>
		<category><![CDATA[bioinformatics]]></category>
		<category><![CDATA[cell type annotation]]></category>
		<category><![CDATA[Large Language Models]]></category>
		<category><![CDATA[Machine learning]]></category>
		<category><![CDATA[single cell analysis]]></category>
		<category><![CDATA[Single-cell RNA sequencing]]></category>
		<category><![CDATA[transcriptomics]]></category>
		<guid isPermaLink="false">https://www.rna-seqblog.com/?p=62730</guid>

					<description><![CDATA[<p>A multi-model AI framework improves cell type annotation accuracy for single-cell RNA sequencing data, helping researchers interpret complex cellular populations with greater....</p>
<p>The post <a href="https://www.rna-seqblog.com/multiple-ai-models-improve-cell-type-identification-in-single-cell-rna-sequencing/">Multiple AI models improve cell type identification in single-cell RNA sequencing</a> appeared first on <a href="https://www.rna-seqblog.com">RNA-Seq Blog</a>.</p>
]]></description>
		
		
		
		<media:content url="https://www.rna-seqblog.com/wp-content/uploads/2026/06/mlln-rna-seq-150x84.jpg" medium="image" type="image/jpeg" />	</item>
		<item>
		<title>scFAIR Consortium &#8211; a decentralized hub for single-cell RNA-Seq data standardization and unification</title>
		<link>https://www.rna-seqblog.com/scfair-consortium-a-decentralized-hub-for-single-cell-rna-seq-data-standardization-and-unification/</link>
		
		<dc:creator><![CDATA[RNA-Seq Blog]]></dc:creator>
		<pubDate>Tue, 09 Jun 2026 11:17:40 +0000</pubDate>
				<category><![CDATA[Information]]></category>
		<category><![CDATA[Projects]]></category>
		<category><![CDATA[Publications]]></category>
		<category><![CDATA[bioinformatics]]></category>
		<category><![CDATA[cell type annotation]]></category>
		<category><![CDATA[Data integration]]></category>
		<category><![CDATA[Data Repositories]]></category>
		<category><![CDATA[FAIR Data]]></category>
		<category><![CDATA[Metadata Standards]]></category>
		<category><![CDATA[Single-cell RNA sequencing]]></category>
		<category><![CDATA[transcriptomics]]></category>
		<guid isPermaLink="false">https://www.rna-seqblog.com/?p=62735</guid>

					<description><![CDATA[<p>A new consortium framework improves how RNA sequencing datasets are standardized, annotated, and shared, enabling more reliable integration and reuse of single-cell transcriptomic data...</p>
<p>The post <a href="https://www.rna-seqblog.com/scfair-consortium-a-decentralized-hub-for-single-cell-rna-seq-data-standardization-and-unification/">scFAIR Consortium &#8211; a decentralized hub for single-cell RNA-Seq data standardization and unification</a> appeared first on <a href="https://www.rna-seqblog.com">RNA-Seq Blog</a>.</p>
]]></description>
		
		
		
		<media:content url="https://www.rna-seqblog.com/wp-content/uploads/2026/06/scfair-150x84.jpg" medium="image" type="image/jpeg" />	</item>
		<item>
		<title>NBSR &#8211; a Negative Binomial Softmax Regression model for microRNA-seq data analysis</title>
		<link>https://www.rna-seqblog.com/nbsr-a-negative-binomial-softmax-regression-model-for-microrna-seq-data-analysis/</link>
		
		<dc:creator><![CDATA[RNA-Seq Blog]]></dc:creator>
		<pubDate>Mon, 08 Jun 2026 11:27:10 +0000</pubDate>
				<category><![CDATA[Publications]]></category>
		<category><![CDATA[Statistical Analysis]]></category>
		<category><![CDATA[bioinformatics]]></category>
		<category><![CDATA[Biomarker Discovery]]></category>
		<category><![CDATA[Biostatistics]]></category>
		<category><![CDATA[Differential expression analysis]]></category>
		<category><![CDATA[gene expression]]></category>
		<category><![CDATA[microrna]]></category>
		<category><![CDATA[microrna sequencing]]></category>
		<category><![CDATA[rna sequencing]]></category>
		<guid isPermaLink="false">https://www.rna-seqblog.com/?p=62720</guid>

					<description><![CDATA[<p>A new statistical framework improves microRNA sequencing analysis by increasing sensitivity, reducing false discoveries, and providing more accurate detection of differential microRNA...</p>
<p>The post <a href="https://www.rna-seqblog.com/nbsr-a-negative-binomial-softmax-regression-model-for-microrna-seq-data-analysis/">NBSR &#8211; a Negative Binomial Softmax Regression model for microRNA-seq data analysis</a> appeared first on <a href="https://www.rna-seqblog.com">RNA-Seq Blog</a>.</p>
]]></description>
		
		
		
		<media:content url="https://www.rna-seqblog.com/wp-content/uploads/2026/06/nsbr-rna-seq-150x84.jpg" medium="image" type="image/jpeg" />	</item>
		<item>
		<title>New eBook &#124; RNA-seq: A peek inside the transcriptome</title>
		<link>https://www.rna-seqblog.com/new-ebook-rna-seq-a-peek-inside-the-transcriptome/</link>
		
		<dc:creator><![CDATA[RNA-Seq Blog]]></dc:creator>
		<pubDate>Mon, 08 Jun 2026 11:26:57 +0000</pubDate>
				<category><![CDATA[Information]]></category>
		<category><![CDATA[deep learning]]></category>
		<category><![CDATA[disease mechanisms]]></category>
		<category><![CDATA[gene expression]]></category>
		<category><![CDATA[Nanopore sequencing]]></category>
		<category><![CDATA[precision medicine]]></category>
		<category><![CDATA[rna sequencing]]></category>
		<category><![CDATA[Single-cell RNA sequencing]]></category>
		<category><![CDATA[transcriptomics]]></category>
		<guid isPermaLink="false">https://www.rna-seqblog.com/?p=62710</guid>

					<description><![CDATA[<p>from Biotechniques This eBook explores advances in RNA sequencing (RNA-seq), with key content from BioTechniques’ digital hub and Taylor &amp; Francis journals, Biotechnology and Genetic Engineering Reviews, Immunological Investigations, the Journal of Asthma and RNA Biology. In this eBook, you’ll find news, reviews and a selection of research articles detailing how the field is evolving to improve understanding of disease ...</p>
<p>The post <a href="https://www.rna-seqblog.com/new-ebook-rna-seq-a-peek-inside-the-transcriptome/">New eBook | RNA-seq: A peek inside the transcriptome</a> appeared first on <a href="https://www.rna-seqblog.com">RNA-Seq Blog</a>.</p>
]]></description>
		
		
		
		<media:content url="https://www.rna-seqblog.com/wp-content/uploads/2026/06/book-rna-seq-150x84.jpg" medium="image" type="image/jpeg" />	</item>
		<item>
		<title>OpenAI updates GPT-Rosalind for life sciences research</title>
		<link>https://www.rna-seqblog.com/openai-updates-gpt-rosalind-for-life-sciences-research/</link>
		
		<dc:creator><![CDATA[RNA-Seq Blog]]></dc:creator>
		<pubDate>Mon, 08 Jun 2026 11:26:48 +0000</pubDate>
				<category><![CDATA[Commentary]]></category>
		<category><![CDATA[artificial intelligence]]></category>
		<category><![CDATA[bioinformatics]]></category>
		<category><![CDATA[Drug discovery.]]></category>
		<category><![CDATA[genomics]]></category>
		<category><![CDATA[NGS analysis]]></category>
		<category><![CDATA[quality control]]></category>
		<category><![CDATA[rna sequencing]]></category>
		<category><![CDATA[Single-cell RNA sequencing]]></category>
		<guid isPermaLink="false">https://www.rna-seqblog.com/?p=62717</guid>

					<description><![CDATA[<p>from ITBrief by Mark Tarre OpenAI has updated its GPT-Rosalind model for life sciences research and made it available in research preview to eligible organisations worldwide. The revised system is part of OpenAI's GPT-Rosalind series for scientific work in areas including drug discovery, genomics and laboratory analysis. The update combines features from GPT-5.5 with ...</p>
<p>The post <a href="https://www.rna-seqblog.com/openai-updates-gpt-rosalind-for-life-sciences-research/">OpenAI updates GPT-Rosalind for life sciences research</a> appeared first on <a href="https://www.rna-seqblog.com">RNA-Seq Blog</a>.</p>
]]></description>
		
		
		
		<media:content url="https://www.rna-seqblog.com/wp-content/uploads/2026/06/openai-rna-seq-150x84.jpg" medium="image" type="image/jpeg" />	</item>
		<item>
		<title>Comprehensive atlas maps dendritic cells across cancers</title>
		<link>https://www.rna-seqblog.com/comprehensive-atlas-maps-dendritic-cells-across-cancers/</link>
		
		<dc:creator><![CDATA[RNA-Seq Blog]]></dc:creator>
		<pubDate>Fri, 05 Jun 2026 11:18:40 +0000</pubDate>
				<category><![CDATA[Commentary]]></category>
		<category><![CDATA[Publications]]></category>
		<category><![CDATA[Biomarker Discovery]]></category>
		<category><![CDATA[Cancer immunology]]></category>
		<category><![CDATA[dendritic cells]]></category>
		<category><![CDATA[immunotherapy]]></category>
		<category><![CDATA[single-cell atlas]]></category>
		<category><![CDATA[Single-cell RNA sequencing]]></category>
		<category><![CDATA[Tumor microenvironment]]></category>
		<category><![CDATA[Tumor-Associated Dendritic Cells]]></category>
		<guid isPermaLink="false">https://www.rna-seqblog.com/?p=62690</guid>

					<description><![CDATA[<p>Researchers from VIB, VUB, and an international network of collaborators have created the most comprehensive single-cell atlas to date of tumor-associated dendritic cells. By integrating data from 14 mouse tumor models and 10 human cancer types, the study provides a detailed, cross-species view of how these key immune cells are organized and altered in ...</p>
<p>The post <a href="https://www.rna-seqblog.com/comprehensive-atlas-maps-dendritic-cells-across-cancers/">Comprehensive atlas maps dendritic cells across cancers</a> appeared first on <a href="https://www.rna-seqblog.com">RNA-Seq Blog</a>.</p>
]]></description>
		
		
		
		<media:content url="https://www.rna-seqblog.com/wp-content/uploads/2026/06/comp-rna-seq-150x84.jpg" medium="image" type="image/jpeg" />	</item>
		<item>
		<title>A hidden switch fine-tunes the heart’s elasticity</title>
		<link>https://www.rna-seqblog.com/a-hidden-switch-fine-tunes-the-hearts-elasticity/</link>
		
		<dc:creator><![CDATA[RNA-Seq Blog]]></dc:creator>
		<pubDate>Fri, 05 Jun 2026 11:18:32 +0000</pubDate>
				<category><![CDATA[Commentary]]></category>
		<category><![CDATA[Publications]]></category>
		<category><![CDATA[alternative splicing]]></category>
		<category><![CDATA[Cardiomyopathy]]></category>
		<category><![CDATA[Functional Genomics]]></category>
		<category><![CDATA[gene regulation]]></category>
		<category><![CDATA[heart failure]]></category>
		<category><![CDATA[RBM20]]></category>
		<category><![CDATA[rna sequencing]]></category>
		<category><![CDATA[Titin]]></category>
		<guid isPermaLink="false">https://www.rna-seqblog.com/?p=62694</guid>

					<description><![CDATA[<p>Max Delbrück Center researchers have discovered a previously unknown genetic switch that affects RBM20, an important protein in heart cells. The findings suggest a potential new target for treating cardiomyopathies more precisely in the future. The human heart must constantly adapt to changing demands — a task that requires tightly coordinated molecular shuffling in heart cells. One of the ...</p>
<p>The post <a href="https://www.rna-seqblog.com/a-hidden-switch-fine-tunes-the-hearts-elasticity/">A hidden switch fine-tunes the heart’s elasticity</a> appeared first on <a href="https://www.rna-seqblog.com">RNA-Seq Blog</a>.</p>
]]></description>
		
		
		
		<media:content url="https://www.rna-seqblog.com/wp-content/uploads/2026/06/herat-150x84.jpg" medium="image" type="image/jpeg" />	</item>
		<item>
		<title>Researchers uncover how an aggressive brain tumor evades treatment</title>
		<link>https://www.rna-seqblog.com/researchers-uncover-how-an-aggressive-brain-tumor-evades-treatment/</link>
		
		<dc:creator><![CDATA[RNA-Seq Blog]]></dc:creator>
		<pubDate>Thu, 04 Jun 2026 11:53:25 +0000</pubDate>
				<category><![CDATA[Commentary]]></category>
		<category><![CDATA[Publications]]></category>
		<category><![CDATA[brain cancer]]></category>
		<category><![CDATA[cancer genomics]]></category>
		<category><![CDATA[glioblastoma]]></category>
		<category><![CDATA[IDH-Mutant Glioma]]></category>
		<category><![CDATA[Single-cell RNA sequencing]]></category>
		<category><![CDATA[treatment resistance]]></category>
		<category><![CDATA[Tumor microenvironment]]></category>
		<category><![CDATA[tumor recurrence]]></category>
		<guid isPermaLink="false">https://www.rna-seqblog.com/?p=62685</guid>

					<description><![CDATA[<p>For patients diagnosed with IDH-mutant glioma, an incurable brain tumor that often affects adults in their 30s and 40s, treatment typically works at first. However, the cancer almost always returns, and when it does, it frequently stops responding to treatment. Now, Yale researchers and their collaborators at Massachusetts General Hospital, the Weizmann Institute of ...</p>
<p>The post <a href="https://www.rna-seqblog.com/researchers-uncover-how-an-aggressive-brain-tumor-evades-treatment/">Researchers uncover how an aggressive brain tumor evades treatment</a> appeared first on <a href="https://www.rna-seqblog.com">RNA-Seq Blog</a>.</p>
]]></description>
		
		
		
		<media:content url="https://www.rna-seqblog.com/wp-content/uploads/2026/06/glio-rna-seq-150x84.jpg" medium="image" type="image/jpeg" />	</item>
		<item>
		<title>Comparing RNA velocity methods for tracking cell development</title>
		<link>https://www.rna-seqblog.com/comparing-rna-velocity-methods-for-tracking-cell-development/</link>
		
		<dc:creator><![CDATA[RNA-Seq Blog]]></dc:creator>
		<pubDate>Thu, 04 Jun 2026 11:08:21 +0000</pubDate>
				<category><![CDATA[Publications]]></category>
		<category><![CDATA[bioinformatics]]></category>
		<category><![CDATA[cell differentiation]]></category>
		<category><![CDATA[Computational Biology]]></category>
		<category><![CDATA[developmental biology]]></category>
		<category><![CDATA[gene expression]]></category>
		<category><![CDATA[RNA velocity]]></category>
		<category><![CDATA[Single-cell RNA sequencing]]></category>
		<category><![CDATA[transcriptomics]]></category>
		<guid isPermaLink="false">https://www.rna-seqblog.com/?p=62674</guid>

					<description><![CDATA[<p>Single-cell RNA sequencing has become one of the most powerful tools in modern biology. By measuring gene activity in individual cells, researchers can identify different cell types, study how cells change over time, and better understand development and disease. However, a single-cell RNA sequencing experiment captures only a snapshot of a cell at one ...</p>
<p>The post <a href="https://www.rna-seqblog.com/comparing-rna-velocity-methods-for-tracking-cell-development/">Comparing RNA velocity methods for tracking cell development</a> appeared first on <a href="https://www.rna-seqblog.com">RNA-Seq Blog</a>.</p>
]]></description>
		
		
		
		<media:content url="https://www.rna-seqblog.com/wp-content/uploads/2026/06/velocity-rna-seq-1-150x84.jpg" medium="image" type="image/jpeg" />	</item>
		<item>
		<title>Study is first demonstration of gene transcription measurement in the living brain</title>
		<link>https://www.rna-seqblog.com/study-is-first-demonstration-of-gene-transcription-measurement-in-the-living-brain/</link>
		
		<dc:creator><![CDATA[RNA-Seq Blog]]></dc:creator>
		<pubDate>Thu, 04 Jun 2026 11:08:12 +0000</pubDate>
				<category><![CDATA[Commentary]]></category>
		<category><![CDATA[Expression and Quantification]]></category>
		<category><![CDATA[Publications]]></category>
		<category><![CDATA[blood-based biomarkers]]></category>
		<category><![CDATA[gene expression]]></category>
		<category><![CDATA[In Vivo Monitoring]]></category>
		<category><![CDATA[messenger RNA]]></category>
		<category><![CDATA[neurobiology]]></category>
		<category><![CDATA[rna sequencing]]></category>
		<category><![CDATA[synthetic biology]]></category>
		<category><![CDATA[Transcription Monitoring]]></category>
		<guid isPermaLink="false">https://www.rna-seqblog.com/?p=62670</guid>

					<description><![CDATA[<p>Tool enables monitoring of selected genes in living tissue with a blood test Cell function is determined by how DNA is expressed into proteins. That process includes two main steps — transcription, when messenger RNA (mRNA) makes copies of active genes, and translation, when mRNA guides protein assembly. Knowing which genes are active at ...</p>
<p>The post <a href="https://www.rna-seqblog.com/study-is-first-demonstration-of-gene-transcription-measurement-in-the-living-brain/">Study is first demonstration of gene transcription measurement in the living brain</a> appeared first on <a href="https://www.rna-seqblog.com">RNA-Seq Blog</a>.</p>
]]></description>
		
		
		
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