Integrative Single‐Cell Transcriptomics and Epigenomics Mapping of the Fetal Retina Developmental Dynamics
Sign Up to like & getrecommendations! Published in 2023 at "Advanced Science"
DOI: 10.1002/advs.202206623
Abstract: The underlying mechanisms that determine gene expression and chromatin accessibility in retinogenesis are poorly understood. Herein, single‐cell RNA sequencing and single‐cell assay for transposase‐accessible chromatin sequencing are performed on human embryonic eye samples obtained 9–26… read more here.
Keywords: developmental dynamics; cell; integrative single; retina ... See more keywords
Inference of Ligand-Receptor Pairs from Single-Cell Transcriptomics Data.
Sign Up to like & getrecommendations! Published in 2021 at "Methods in molecular biology"
DOI: 10.1007/7651_2020_343
Abstract: Cell-cell communication is crucial for development and tissue homeostasis in multicellular organisms. Single-cell transcriptomics has emerged as a revolutionary technique for dissecting cellular compositions and potential cell-cell communication events via ligand-receptor pairs. To provide a… read more here.
Keywords: single cell; communication; cell transcriptomics; ligand receptor ... See more keywords
Single-Cell Transcriptomics of Traced Epidermal and Hair Follicle Stem Cells Reveals Rapid Adaptations during Wound Healing.
Sign Up to like & getrecommendations! Published in 2018 at "Cell reports"
DOI: 10.1016/j.celrep.2018.09.059
Abstract: Epithelial tissues, such as the skin, rely on cellular plasticity of stem cells (SCs) from different niches to restore tissue function after injury. How these molecularly and functionally diverse SC populations respond to injury remains… read more here.
Keywords: single cell; wound healing; hair follicle; cell transcriptomics ... See more keywords
Single cell transcriptomics in neuroscience: cell classification and beyond
Sign Up to like & getrecommendations! Published in 2018 at "Current Opinion in Neurobiology"
DOI: 10.1016/j.conb.2018.04.021
Abstract: Biology has been facing a daunting problem since the cell was understood to be the building block of metazoans: how do we study multicellular systems, when a universal approach to characterize their building blocks and… read more here.
Keywords: single cell; cell classification; cell transcriptomics; neuroscience ... See more keywords
Unravelling fibrosis using single-cell transcriptomics.
Sign Up to like & getrecommendations! Published in 2019 at "Current opinion in pharmacology"
DOI: 10.1016/j.coph.2019.09.004
Abstract: Fibrosis, the excessive accumulation of extracellular matrix, is a major global healthcare burden. Despite major advances in our understanding of the mechanisms regulating fibrosis, treatment options for patients with fibrosis remain very limited. However, recent… read more here.
Keywords: single cell; fibrosis; cell transcriptomics; fibrosis using ... See more keywords
Application of single-cell transcriptomics to kinetoplastid research
Sign Up to like & getrecommendations! Published in 2021 at "Parasitology"
DOI: 10.1017/s003118202100041x
Abstract: Abstract Abstract Kinetoplastid parasites are responsible for both human and animal diseases across the globe where they have a great impact on health and economic well-being. Many species and life cycle stages are difficult to… read more here.
Keywords: kinetoplastid research; scrna seq; single cell; cell transcriptomics ... See more keywords
An atlas of the aging lung mapped by single cell transcriptomics and deep tissue proteomics
Sign Up to like & getrecommendations! Published in 2019 at "Nature Communications"
DOI: 10.1038/s41467-019-08831-9
Abstract: Aging promotes lung function decline and susceptibility to chronic lung diseases, which are the third leading cause of death worldwide. Here, we use single cell transcriptomics and mass spectrometry-based proteomics to quantify changes in cellular… read more here.
Keywords: single cell; cell transcriptomics; aging lung; atlas aging ... See more keywords
Single cell transcriptomics comes of age
Sign Up to like & getrecommendations! Published in 2020 at "Nature Communications"
DOI: 10.1038/s41467-020-18158-5
Abstract: Single cell transcriptomics technologies have vast potential in advancing our understanding of biology and disease. Here, Sarah Aldridge and Sarah Teichmann review the last decade of technological advancements in single-cell transcriptomics and highlight some of… read more here.
Keywords: single cell; comes age; transcriptomics comes; cell transcriptomics ... See more keywords
Single-cell transcriptomics of 20 mouse organs creates a Tabula Muris
Sign Up to like & getrecommendations! Published in 2018 at "Nature"
DOI: 10.1038/s41586-018-0590-4
Abstract: Here we present a compendium of single-cell transcriptomic data from the model organism Mus musculus that comprises more than 100,000 cells from 20 organs and tissues. These data represent a new resource for cell biology,… read more here.
Keywords: single cell; cell transcriptomics; cell biology; biology ... See more keywords
Single-cell transcriptomics of human embryos identifies multiple sympathoblast lineages with potential implications for neuroblastoma origin
Sign Up to like & getrecommendations! Published in 2021 at "Nature genetics"
DOI: 10.1038/s41588-021-00818-x
Abstract: Characterization of the progression of cellular states during human embryogenesis can provide insights into the origin of pediatric diseases. We examined the transcriptional states of neural crest- and mesoderm-derived lineages differentiating into adrenal glands, kidneys,… read more here.
Keywords: single cell; human embryos; embryos identifies; cell transcriptomics ... See more keywords
Single-cell transcriptomics of East-Asian pancreatic islets cells
Sign Up to like & getrecommendations! Published in 2017 at "Scientific Reports"
DOI: 10.1038/s41598-017-05266-4
Abstract: Single-cell RNA-seq (scRNA-seq) of pancreatic islets have reported on α- and β-cell gene expression in mice and subjects of predominantly European ancestry. We aimed to assess these findings in East-Asian islet-cells. 448 islet-cells were captured… read more here.
Keywords: single cell; cell; cell transcriptomics; expression ... See more keywords