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1
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…
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Keywords:
populations lung;
cell populations;
transcriptome analyses;
cell ... See more keywords
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1
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…
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Keywords:
elegans larvae;
caenorhabditis elegans;
cell types;
facs based ... See more keywords
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2
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…
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Keywords:
cell;
targeted metabolomics;
rare cell;
metabolomics facs ... See more keywords
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1
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…
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Keywords:
cell;
cell types;
rare cell;
deep generative ... See more keywords
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1
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…
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Keywords:
cell;
type annotation;
rare cell;
scbalance ... See more keywords
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2
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…
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Keywords:
cell;
cell populations;
rare cell;
interactive single ... See more keywords
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0
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…
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Keywords:
open channel;
isolation recovery;
cell;
rare cell ... See more keywords