KIF2C affects sperm cell differentiation in patients with Klinefelter syndrome, as revealed by RNA‐Seq and scRNA‐Seq data
Sign Up to like & getrecommendations! 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… read more here.
Keywords: cell; scrna seq; seq; klinefelter syndrome ... See more keywords
InterCellDB: A User‐Defined Database for Inferring Intercellular Networks
Sign Up to like & getrecommendations! 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.… read more here.
Keywords: database inferring; cell; intercelldb user; defined database ... See more keywords
Effects of 3‐HAA on HCC by Regulating the Heterogeneous Macrophages—A scRNA‐Seq Analysis
Sign Up to like & getrecommendations! 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… read more here.
Keywords: cell; scrna seq; hcc; effects haa ... See more keywords
Single‐cell RNA‐sequencing of retrieved human oocytes and eggs in clinical practice and for human ovarian cell atlasing
Sign Up to like & getrecommendations! 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… read more here.
Keywords: cell; rna sequencing; scrna seq; single cell ... See more keywords
Single-Cell Capture, RNA-seq, and Transcriptome Analysis from the Neural Retina.
Sign Up to like & getrecommendations! 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… read more here.
Keywords: single cell; scrna seq; cell capture; analysis ... See more keywords
Can single-cell RNA sequencing crack the mystery of cells?
Sign Up to like & getrecommendations! 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… read more here.
Keywords: seq; scrna seq; single cell; rna sequencing ... See more keywords
Decomposing Cell Identity for Transfer Learning across Cellular Measurements, Platforms, Tissues, and Species.
Sign Up to like & getrecommendations! 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… read more here.
Keywords: scrna seq; transfer learning; latent spaces; identity ... See more keywords
Benchmarking algorithms for pathway activity transformation of single-cell RNA-seq data
Sign Up to like & getrecommendations! 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… read more here.
Keywords: seq; scrna seq; single cell; seq data ... See more keywords
BATMAN: Fast and Accurate Integration of Single-Cell RNA-Seq Datasets via Minimum-Weight Matching
Sign Up to like & getrecommendations! 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… read more here.
Keywords: single cell; scrna seq; integration; cell rna ... See more keywords
Latent Factor Modeling of scRNA-Seq Data Uncovers Dysregulated Pathways in Autoimmune Disease Patients
Sign Up to like & getrecommendations! Published in 2020 at "iScience"
DOI: 10.1016/j.isci.2020.101451
Abstract: Summary Latent factor modeling applied to single-cell RNA sequencing (scRNA-seq) data is a useful approach to discover gene signatures. However, it is often unclear what methods are best suited for specific tasks and how latent… read more here.
Keywords: scrna seq; factor modeling; latent factor; seq data ... See more keywords
Comparative Analysis of Single-Cell RNA Sequencing Methods.
Sign Up to like & getrecommendations! Published in 2017 at "Molecular cell"
DOI: 10.1016/j.molcel.2017.01.023
Abstract: Single-cell RNA sequencing (scRNA-seq) offers new possibilities to address biological and medical questions. However, systematic comparisons of the performance of diverse scRNA-seq protocols are lacking. We generated data from 583 mouse embryonic stem cells to… read more here.
Keywords: seq; scrna seq; single cell; cell rna ... See more keywords