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Single-nucleus RNA sequencing reveals cell-specific immune responses to white spot syndrome virus in whiteleg shrimp, identifying genes that may support future disease-resistance s...
Creative Biolabs expands RNA sequencing and multi-omics services to profile individual cells and nuclei, supporting biomarker discovery...
RNA sequencing references combined with CellART help identify individual cells and cell types within high-resolution spatial transcriptomics data across multiple...
Single-cell and single-embryo RNA sequencing enables detailed analysis of gene expression and cell identity during the earliest stages of embryonic development...
Live-cell RNA sequencing uses engineered virus-like particles to repeatedly sample transcriptomes without destroying cells, enabling researchers to track gene expression changes ov...
Long-read RNA sequencing and APALORD reveal how alternative polyadenylation changes during neuronal differentiation and identify new patterns of RNA processing across species...
by Dee Velazquez, Caleb Hallinan, Roujin An, Kalen Clifton, Jean Fan Imaging-based spatially resolved transcriptomics (imSRT) technologies provide high-throughput molecular-resolu...
Single-cell RNA sequencing combined with GP-DHT helps predict transcription factor and target gene relationships, providing a...
RNA sequencing combined with AI helps Unify compare cell types across distant species by identifying shared biological functions even when individual genes no longer directly...
ARCADIA integrates single-cell RNA sequencing with spatial proteomics to reveal how tissue neighborhoods influence B-cell maturation, T-cell activation, and other transcriptional p...
POND-seq enables non-destructive RNA sequencing of living cells, allowing repeated measurement of transcriptomes and RNA-binding protein interactions as cells respond to changing c...
Scientists have built a search engine that can scan data from millions of single cells from thousands of experiments worldwide in seconds. The tool makes it possible to answer prev...
by Emily Kurtyan, Andrew J. Stein, Kelly J. Abdalla, Zhangerjiao Yuan, Miten Jain, Fadia Ibrahim Post-transcriptional RNA modifications modulate diverse aspects of RNA metabolism....
ResolVI improves spatial RNA sequencing analysis by correcting RNA assignment errors and technical variation, helping researchers distinguish cell states and detect subtle gene exp...
RNA sequencing combined with new AI models helps researchers analyze cellular relationships and biological patterns across scales, improving interpretation of complex single-cell a...
Spatial RNA sequencing maps RNA synthesis and degradation across the mouse brain, revealing how different regions rapidly adjust gene expression in response to stimulation...
The following press release was issued by the Broad Institute of MIT and Harvard. - - In recent years, scientists have built methods to measure a cell's transcriptome, or all t...
Researchers generated a single-cell atlas of the striatum, identifying 31 neuronal subpopulations and disease-linked vulnerabilities that could inform studies of Huntington’s disea...
RNA sequencing reveals two opposing patterns of brain gene activity across genetically diverse autism-risk mouse models, with differences...
by Chengkai Yang, Yu Liao, Ying Sheng, Feng Jiao Single-cell transcriptomic data exhibit pervasive zero inflation, while traditional models either neglect this issue or fail to ca...
RNA Variant Imaging is attracting attention because it addresses a persistent blind spot in cancer diagnostics: many clinically relevant RNA isoforms, splice events, and fusion tra...
RNA sequencing data provide a real-world framework for comparing differential transcript usage methods across bulk, single-cell, spatial, long-read, and short-read transcriptomics....
by Alexandre Coudray, Romain Forey, Benjamin Bejar Haro, Filipe Martins, Joana Carlevaro-Fita, Shaoline Sheppard, Sandra Eloise Offner, Gioele La Manno, Guillaume Obozinski, Didier...
SPIDER uses single-cell RNA sequencing references to reduce noise in spatial transcriptomics, improving gene expression patterns, tissue structure identification...
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