snPATHO-seq: A Detailed Protocol for Single Nucleus RNA Sequencing From FFPE [PDF]
Formalin-fixed paraffin-embedded (FFPE) samples remain an underutilized resource in single-cell omics due to RNA degradation from formalin fixation. Here, we present snPATHO-seq, a robust and adaptable approach that enables the generation of high-quality
Wani Arjumand +4 more
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Toti-N-glycan Recognition Enables Universal Multiplexed Single-Nucleus RNA Sequencing [PDF]
Sample barcoding-based multiplex single-cell and single-nucleus sequencing (sc/sn-seq) offers substantial advantages by reducing costs, minimizing batch effects, and identifying artifacts, thereby advancing biological and biomedical research.
Yiran Guo +12 more
doaj +4 more sources
Single-nucleus RNA-sequencing in pre-cellularization Drosophila melanogaster embryos. [PDF]
Our current understanding of the regulation of gene expression in the early Drosophila melanogaster embryo comes from observations of a few genes at a time, as with in situ hybridizations, or observation of gene expression levels without regards to ...
Ashley R Albright +2 more
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Pan‐Cancer Single‐Nucleus Total RNA Sequencing Using snHH‐Seq
Tumor heterogeneity and its drivers impair tumor progression and cancer therapy. Single‐cell RNA sequencing is used to investigate the heterogeneity of tumor ecosystems. However, most methods of scRNA‐seq amplify the termini of polyadenylated transcripts,
Haide Chen +32 more
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Deciphering deep-sea chemosynthetic symbiosis by single-nucleus RNA-sequencing
Bathymodioline mussels dominate deep-sea methane seep and hydrothermal vent habitats and obtain nutrients and energy primarily through chemosynthetic endosymbiotic bacteria in the bacteriocytes of their gill.
Hao Wang +13 more
doaj +4 more sources
Neuroblastoma is the most common extracranial solid tumor in children, and a leading cause of childhood cancer deaths. All neuroblastomas arise from neural crest-derived sympathetic neuronal progenitors, but numerous mutations, the most common of which ...
Richard A. Guyer +3 more
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Machine learning for cell type classification from single nucleus RNA sequencing data. [PDF]
With the advent of single cell/nucleus RNA sequencing (sc/snRNA-seq), the field of cell phenotyping is now a data-driven exercise providing statistical evidence to support cell type/state categorization.
Huy Le +6 more
doaj +4 more sources
Nanogrid single-nucleus RNA sequencing reveals phenotypic diversity in breast cancer [PDF]
Single cell RNA sequencing is a powerful tool for understanding cellular diversity but is limited by cost, throughput and sample preparation. Here the authors use nanogrid technology with integrated imaging to sequence thousands of cancer nuclei in ...
Ruli Gao +9 more
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Miniaturization of Smart-seq2 for Single-Cell and Single-Nucleus RNA Sequencing
Summary: This protocol presents a plate-based workflow to perform RNA sequencing analysis of single cells/nuclei using Smart-seq2. We describe (1) the dissociation procedures for cell/nucleus isolation from the mouse brain and human organoids, (2) the ...
Baptiste N. Jaeger +6 more
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Perspectives on single-nucleus RNA sequencing in different cell types and tissues [PDF]
Single-cell RNA sequencing has become a powerful and essential tool for delineating cellular diversity in normal tissues and alterations in disease states.
Nayoung Kim +4 more
doaj +3 more sources

