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2
Published in 2022 at "FEBS Open Bio"
DOI: 10.1002/2211-5463.13446
Abstract: Klinefelter syndrome (KS) is a leading contributor to male infertility and is characterised by complex and diverse clinical features; however, genetic changes in the KS transcriptome remain largely unknown. We therefore used transcriptomic and single‐cell…
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Keywords:
cell;
scrna seq;
seq;
klinefelter syndrome ... See more keywords
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1
Published in 2022 at "Advanced Science"
DOI: 10.1002/advs.202200045
Abstract: Recent advances in single cell RNA sequencing (scRNA‐seq) empower insights into cell–cell crosstalk within specific tissues. However, customizable data analysis tools that decipher intercellular communication from gene expression in association with biological functions are lacking.…
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Keywords:
database inferring;
cell;
intercelldb user;
defined database ... See more keywords
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3
Published in 2023 at "Advanced Science"
DOI: 10.1002/advs.202207074
Abstract: Kynurenine derivative 3‐hydroxyanthranilic acid (3‐HAA) is known to regulate the immune system and exhibit anti‐inflammatory activity by inhibiting T‐cell cytokine secretion and influencing macrophage activity. However, the definite role of 3‐HAA in the immunomodulation of…
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Keywords:
cell;
scrna seq;
hcc;
effects haa ... See more keywords
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0
Published in 2025 at "Advanced science"
DOI: 10.1002/advs.202514502
Abstract: Single-cell RNA sequencing (scRNA-seq) is a powerful technique for understanding cellular diversity, but processing large patient cohorts to identify phenotype-associated cell populations remains challenging. Here, scPER (Estimating cell Proportions using single-cell RNA-seq Reference), a rigorous…
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Keywords:
cancer;
scper;
rna sequencing;
cell ... See more keywords
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1
Published in 2022 at "Molecular Reproduction and Development"
DOI: 10.1002/mrd.23648
Abstract: With the advancement of single‐cell separation techniques and high‐throughput sequencing platforms, single‐cell RNA‐sequencing (scRNA‐seq) has emerged as a vital technology for understanding tissue and organ systems at cellular resolution. Through transcriptional analysis, it is possible…
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Keywords:
cell;
rna sequencing;
scrna seq;
single cell ... See more keywords
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1
Published in 2020 at "Methods in molecular biology"
DOI: 10.1007/978-1-0716-0175-4_12
Abstract: Single-cell RNA sequencing (scRNA-seq) is an emerging technology that can address the challenge of cellular heterogeneity. In the last decade, the cost per cell has been dramatically reduced, and the throughput has been increased by…
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Keywords:
single cell;
scrna seq;
cell capture;
analysis ... See more keywords
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1
Published in 2017 at "Cell Biology and Toxicology"
DOI: 10.1007/s10565-017-9404-y
Abstract: There is a rapid increase of evidence to address the importance of the interaction between single cells, drugs, and the response of single cells to therapies. Single-cell measurements were used to evaluate the DNA-damaging ability…
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Keywords:
seq;
scrna seq;
single cell;
rna sequencing ... See more keywords
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0
Published in 2025 at "Cell Biology and Toxicology"
DOI: 10.1007/s10565-025-10095-7
Abstract: 4-Nonylphenol (NP) is an environmental endocrine disruptor widely used in consumer products. Previous studies have shown that NP can interfere with hormone synthesis and metabolism in humans and animals, leading to male reproductive dysfunction. This…
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Keywords:
endocrine disruptor;
spermatogenesis;
cell;
scrna seq ... See more keywords
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Published in 2019 at "Cell systems"
DOI: 10.1016/j.cels.2019.04.004
Abstract: Analysis of gene expression in single cells allows for decomposition of cellular states as low-dimensional latent spaces. However, the interpretation and validation of these spaces remains a challenge. Here, we present scCoGAPS, which defines latent…
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Keywords:
scrna seq;
transfer learning;
latent spaces;
identity ... See more keywords
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0
Published in 2020 at "Computational and Structural Biotechnology Journal"
DOI: 10.1016/j.csbj.2020.10.007
Abstract: Biological pathway analysis provides new insights for cell clustering and functional annotation from single-cell RNA sequencing (scRNA-seq) data. Many pathway analysis algorithms have been developed to transform gene-level scRNA-seq data into functional gene sets representing…
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Keywords:
seq;
scrna seq;
single cell;
seq data ... See more keywords
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1
Published in 2020 at "iScience"
DOI: 10.1016/j.isci.2020.101185
Abstract: Summary Single-cell RNA-sequencing (scRNA-seq) is a set of technologies used to profile gene expression at the level of individual cells. Although the throughput of scRNA-seq experiments is steadily growing in terms of the number of…
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Keywords:
single cell;
scrna seq;
integration;
cell rna ... See more keywords