Results 41 to 50 of about 81,661 (282)
Molecular recording of mammalian embryogenesis. [PDF]
, 2019 Ontogeny describes the emergence of complex multicellular organisms from single totipotent cells. This field is particularly challenging in mammals, owing to the indeterminate relationship between self-renewal and differentiation, variation in progenitor
Adamson, Britt +13 more
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ScRNA-seq and ST-seq in liver research
Cell Regeneration, 2023 AbstractSpatial transcriptomics, which combine gene expression data with spatial information, has quickly expanded in recent years. With application of this method in liver research, our knowledge about liver development, regeneration, and diseases have been greatly improved.
Jia He +3 more
openaire +3 more sources
Compression of quantification uncertainty for scRNA-seq counts [PDF]
Bioinformatics, 2020 Abstract Motivation Quantification estimates of gene expression from single-cell RNA-seq (scRNA-seq) data have inherent uncertainty due to reads that map to multiple genes. Many existing scRNA-seq quantification pipelines ignore multi-mapping reads and therefore underestimate expected read ...
Scott Van Buren +5 more
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Cellular deconvolution of GTEx tissues powers discovery of disease and cell-type associated regulatory variants. [PDF]
, 2020 The Genotype-Tissue Expression (GTEx) resource has provided insights into the regulatory impact of genetic variation on gene expression across human tissues; however, thus far has not considered how variation acts at the resolution of the different cell ...
D'Antonio, Matteo +3 more
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Transcriptional landscape of epithelial and immune cell populations revealed through FACS-seq of healthy human skin. [PDF]
, 2017 Human skin consists of multiple cell types, including epithelial, immune, and stromal cells. Transcriptomic analyses have previously been performed from bulk skin samples or from epithelial and immune cells expanded in cell culture.
Ahn, Richard S +9 more
core +1 more source
Comparison of scRNA-seq data analysis method combinations
Briefings in Functional Genomics, 2022 AbstractSingle-cell ribonucleic acid (RNA)-sequencing (scRNA-seq) data analysis refers to the use of appropriate methods to analyze the dataset generated by RNA-sequencing performed on the single-cell transcriptome. It usually contains three steps: normalization to eliminate the technical noise, dimensionality reduction to facilitate visual ...
Li Xu +3 more
openaire +2 more sources
Deep generative modeling for single-cell transcriptomics. [PDF]
, 2018 Single-cell transcriptome measurements can reveal unexplored biological diversity, but they suffer from technical noise and bias that must be modeled to account for the resulting uncertainty in downstream analyses.
A Regev +39 more
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Applications of single‐cell sequencing for the field of otolaryngology: A contemporary review
Laryngoscope Investigative Otolaryngology, 2020 Objectives Single‐cell RNA sequencing (scRNA‐Seq) is a new technique used to interrogate the transcriptome of individual cells within native tissues that have already resulted in key discoveries in auditory basic science research. Rapid advances in scRNA‐
Madeline P. Pyle, Michael Hoa
doaj +1 more source
Ophthalmology Science, 2023 Purpose: Proliferative vitreoretinopathy (PVR) is the most common cause of failure of retinal reattachment surgery, and the molecular changes leading to this aberrant wound healing process are currently unknown.
Clayton P. Santiago, PhD, MS +8 more
doaj +1 more source
The Cellular and Physiological Basis for Lung Repair and Regeneration: Past, Present, and Future. [PDF]
, 2020 The respiratory system, which includes the trachea, airways, and distal alveoli, is a complex multi-cellular organ that intimately links with the cardiovascular system to accomplish gas exchange.
Basil, Maria C +15 more
core +2 more sources