Articles with "rare cell" as a keyword



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Messenger RNA Sequencing of Rare Cell Populations in the Lung and Lung-Draining Lymph Nodes.

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Published in 2017 at "Methods in molecular biology"

DOI: 10.1007/978-1-4939-6786-5_14

Abstract: Next-generation sequencing (NGS) techniques provide unique prospects for in-depth transcriptome analyses. Nevertheless, the emerging and still growing knowledge about the large diversity and heterogeneity of cells that participate in immunological responses in a tissue- and… read more here.

Keywords: populations lung; cell populations; transcriptome analyses; cell ... See more keywords
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An optimized dissociation protocol for FACS-based isolation of rare cell types from Caenorhabditis elegans L1 larvae

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Published in 2020 at "MethodsX"

DOI: 10.1016/j.mex.2020.100922

Abstract: Single-cell isolation and transcriptomic analysis of a specific cell type or tissue offers the possibility of studying cell function and heterogeneity in time-dependent processes with remarkable resolution. The reduced tissue complexity and highly stereotyped development… read more here.

Keywords: elegans larvae; caenorhabditis elegans; cell types; facs based ... See more keywords
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LC-MS-Based Targeted Metabolomics for FACS-Purified Rare Cells

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Published in 2023 at "Analytical Chemistry"

DOI: 10.1021/acs.analchem.2c04396

Abstract: Metabolism plays a fundamental role in regulating cellular functions and fate decisions. Liquid chromatography-mass spectrometry (LC-MS)-based targeted metabolomic approaches provide high-resolution insights into the metabolic state of a cell. However, the typical sample size is… read more here.

Keywords: cell; targeted metabolomics; rare cell; metabolomics facs ... See more keywords
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Learning discriminative and structural samples for rare cell types with deep generative model

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Published in 2022 at "Briefings in bioinformatics"

DOI: 10.1093/bib/bbac317

Abstract: Cell types (subpopulations) serve as bio-markers for the diagnosis and therapy of complex diseases, and single-cell RNA-sequencing (scRNA-seq) measures expression of genes at cell level, paving the way for the identification of cell types. Although… read more here.

Keywords: cell; cell types; rare cell; deep generative ... See more keywords
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A scalable sparse neural network framework for rare cell type annotation of single-cell transcriptome data

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Published in 2022 at "Communications Biology"

DOI: 10.1101/2022.06.22.497193

Abstract: Cell type annotation is critical to understand the cell population heterogeneity in the single-cell RNA sequencing (scRNA-seq) analysis. Due to their fast, precise, and user-friendly advantages, automatic annotation methods are gradually replacing traditional unsupervised clustering… read more here.

Keywords: cell; type annotation; rare cell; scbalance ... See more keywords
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Abstract 2086: ISCVAM, an Interactive Single Cell Visual Analytics for Multiomics, accelerates the identification of novel rare cell populations

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Published in 2023 at "Cancer Research"

DOI: 10.1158/1538-7445.am2023-2086

Abstract: BACKGROUND Emergent single cell technologies have accelerated the discovery of rare cell populations and characterization of complex tumor microenvironment (TME). We developed an Interactive Single Cell Visual Analytics for Multiomics, ISCVAM, a bioinformatics infrastructure to… read more here.

Keywords: cell; cell populations; rare cell; interactive single ... See more keywords
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Rare cell isolation and recovery on open-channel microfluidic chip

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Published in 2017 at "PLoS ONE"

DOI: 10.1371/journal.pone.0174937

Abstract: The ability to accurately detect and analyze rare cells in a cell population is critical not only for the study of disease progression but also for next flow cytometry systems in clinical application. Here, we… read more here.

Keywords: open channel; isolation recovery; cell; rare cell ... See more keywords