Single-Cell Transcriptomic Analysis.
Sign Up to like & getrecommendations! Published in 2020 at "Comprehensive Physiology"
DOI: 10.1002/cphy.c190037
Abstract: Single-cell sequencing measures the sequence information from individual cells using optimized single-cell isolation protocols and next-generation sequencing technologies. Recent advancement in single-cell sequencing has transformed biomedical research, providing insights into diverse biological processes such as… read more here.
Keywords: single cell; cell transcriptomic; transcriptomic analysis; physiology ... See more keywords
Single-Cell Transcriptomic Analysis in the Regenerating Cnidarian Nematostella vectensis.
Sign Up to like & getrecommendations! Published in 2022 at "Methods in molecular biology"
DOI: 10.1007/978-1-0716-2172-1_30
Abstract: Cnidarians have historically served as excellent laboratory models for regenerative development given their capacity to regrow large portions of the adult organism. This capacity is notably absent or poorly developed in the powerful genetic laboratory… read more here.
Keywords: cell transcriptomic; cell; single cell; nematostella vectensis ... See more keywords
Cancer biology deciphered by single-cell transcriptomic sequencing.
Sign Up to like & getrecommendations! Published in 2021 at "Protein & cell"
DOI: 10.1007/s13238-021-00868-1
Abstract: Tumors are complex ecosystems in which heterogeneous cancer cells interact with their microenvironment composed of diverse immune, endothelial, and stromal cells. Cancer biology had been studied using bulk genomic and gene expression profiling, which however… read more here.
Keywords: single cell; cell transcriptomic; biology; cancer biology ... See more keywords
Single-cell trajectories reconstruction, exploration and mapping of omics data with STREAM
Sign Up to like & getrecommendations! Published in 2019 at "Nature Communications"
DOI: 10.1038/s41467-019-09670-4
Abstract: Single-cell transcriptomic assays have enabled the de novo reconstruction of lineage differentiation trajectories, along with the characterization of cellular heterogeneity and state transitions. Several methods have been developed for reconstructing developmental trajectories from single-cell transcriptomic… read more here.
Keywords: single cell; trajectories single; stream; cell transcriptomic ... See more keywords
A brief review of single-cell transcriptomic technologies.
Sign Up to like & getrecommendations! Published in 2018 at "Briefings in functional genomics"
DOI: 10.1093/bfgp/elx019
Abstract: In recent years, there has been an effort to develop new technologies for measuring gene expression and sequence information from thousands of individual cells. Large data sets that were obtained using these 'single cell' technologies… read more here.
Keywords: single cell; cell; cell transcriptomic; review single ... See more keywords
A hybrid deep learning framework for gene regulatory network inference from single-cell transcriptomic data
Sign Up to like & getrecommendations! Published in 2022 at "Briefings in bioinformatics"
DOI: 10.1093/bib/bbab568
Abstract: Inferring gene regulatory networks (GRNs) based on gene expression profiles is able to provide an insight into a number of cellular phenotypes from the genomic level and reveal the essential laws underlying various life phenomena.… read more here.
Keywords: cell; network; cell transcriptomic; single cell ... See more keywords
BISC: accurate inference of transcriptional bursting kinetics from single-cell transcriptomic data
Sign Up to like & getrecommendations! Published in 2022 at "Briefings in bioinformatics"
DOI: 10.1093/bib/bbac464
Abstract: Gene expression in mammalian cells is inherently stochastic and mRNAs are synthesized in discrete bursts. Single-cell transcriptomics provides an unprecedented opportunity to explore the transcriptome-wide kinetics of transcriptional bursting. However, current analysis methods provide limited… read more here.
Keywords: bursting; cell; bisc; cell transcriptomic ... See more keywords
Semi-Supervised Deep Learning for Cell Type Identification From Single-Cell Transcriptomic Data
Sign Up to like & getrecommendations! Published in 2022 at "IEEE/ACM Transactions on Computational Biology and Bioinformatics"
DOI: 10.1109/tcbb.2022.3173587
Abstract: Cell type identification from single-cell transcriptomic data is a common goal of single-cell RNA sequencing (scRNAseq) data analysis. Deep neural networks have been employed to identify cell types from scRNAseq data with high performance. However,… read more here.
Keywords: cell; cell transcriptomic; type identification; single cell ... See more keywords
Single-cell transcriptomic profiling of lung endothelial cells identifies dynamic inflammatory and regenerative subpopulations.
Sign Up to like & getrecommendations! Published in 2022 at "JCI insight"
DOI: 10.1172/jci.insight.158079
Abstract: Studies have demonstrated the phenotypic heterogeneity of vascular endothelial cells (ECs) within a vascular bed; however, little is known about how distinct endothelial subpopulations in a particular organ respond to an inflammatory stimulus. We performed… read more here.
Keywords: endothelial cells; cell transcriptomic; lung; single cell ... See more keywords
Inference of Intercellular Communications and Multilayer Gene-Regulations of Epithelial–Mesenchymal Transition From Single-Cell Transcriptomic Data
Sign Up to like & getrecommendations! Published in 2020 at "Frontiers in Genetics"
DOI: 10.3389/fgene.2020.604585
Abstract: Epithelial-to-mesenchymal transition (EMT) plays an important role in many biological processes during development and cancer. The advent of single-cell transcriptome sequencing techniques allows the dissection of dynamical details underlying EMT with unprecedented resolution. Despite several… read more here.
Keywords: single cell; mesenchymal transition; cell transcriptomic; epithelial mesenchymal ... See more keywords
Single-Cell Transcriptomic Reveals Dual and Multi-Transmitter Use in Neurons Across Metazoans
Sign Up to like & getrecommendations! Published in 2021 at "Frontiers in Molecular Neuroscience"
DOI: 10.3389/fnmol.2021.623148
Abstract: Neurotransmitter expression is widely used as a criterion for classifying neurons. It was initially thought that neurons express a single type of neurotransmitter, a phenomenon commonly recognized as Dale's principle: “one neuron, one transmitter.” Consequently,… read more here.
Keywords: single cell; cell transcriptomic; reveals dual; transmitter ... See more keywords