Results 31 to 40 of about 1,215,495 (340)

Single-cell RNA sequencing of human kidney [PDF]

open access: yesScientific Data, 2020
AbstractA comprehensive cellular anatomy of normal human kidney is crucial to address the cellular origins of renal disease and renal cancer. Some kidney diseases may be cell type-specific, especially renal tubular cells. To investigate the classification and transcriptomic information of the human kidney, we rapidly obtained a single-cell suspension ...
Liao, Jinling   +11 more
openaire   +2 more sources

MAST: a flexible statistical framework for assessing transcriptional changes and characterizing heterogeneity in single-cell RNA sequencing data

open access: yesGenome Biology, 2015
Single-cell transcriptomics reveals gene expression heterogeneity but suffers from stochastic dropout and characteristic bimodal expression distributions in which expression is either strongly non-zero or non-detectable.
Greg Finak   +11 more
semanticscholar   +1 more source

Single Cell RNA Sequencing in Atherosclerosis Research [PDF]

open access: yesCirculation Research, 2020
Technological advances in characterizing molecular heterogeneity at the single cell level have ushered in a deeper understanding of the biological diversity of cells present in tissues including atherosclerotic plaques. New subsets of cells have been discovered among cell types previously considered homogenous. The commercial availability of systems to
Jesse W. Williams   +5 more
openaire   +2 more sources

Delineating COVID-19 immunological features using single-cell RNA sequencing

open access: yesThe Innovation, 2022
Understanding the molecular mechanisms of coronavirus disease 2019 (COVID-19) pathogenesis and immune response is vital for developing therapies. Single-cell RNA sequencing has been applied to delineate the cellular heterogeneity of the host response ...
Wendao Liu   +6 more
doaj   +1 more source

Single Cell RNA Sequencing of Rare Immune Cell Populations

open access: yesFrontiers in Immunology, 2018
Single-cell RNA sequencing (scRNA-Seq) is transforming our ability to characterize cells, particularly rare cells that are often overlooked in bulk population analytical approaches.
Akira Nguyen   +9 more
doaj   +1 more source

A molecular cell atlas of the human lung from single cell RNA sequencing

open access: yesNature, 2019
Although single-cell RNA sequencing studies have begun to provide compendia of cell expression profiles1–9, it has been difficult to systematically identify and localize all molecular cell types in individual organs to create a full molecular cell atlas.
K. Travaglini   +17 more
semanticscholar   +1 more source

Single-Cell RNA-Sequencing in Glioma

open access: yesCurrent Oncology Reports, 2018
In this review, we seek to summarize the literature concerning the use of single-cell RNA-sequencing for CNS gliomas.Single-cell analysis has revealed complex tumor heterogeneity, subpopulations of proliferating stem-like cells and expanded our view of tumor microenvironment influence in the disease process.
Eli, Johnson   +3 more
openaire   +3 more sources

SoupX removes ambient RNA contamination from droplet-based single-cell RNA sequencing data

open access: yesbioRxiv, 2018
Droplet based single cell RNA sequence analyses assume all acquired RNAs are endogenous to cells. However, any cell free RNAs contained within the input solution are also captured by these assays. This sequencing of cell free RNA constitutes a background
Matthew D. Young, S. Behjati
semanticscholar   +1 more source

Microglia Heterogeneity in Alzheimer’s Disease: Insights From Single-Cell Technologies

open access: yesFrontiers in Synaptic Neuroscience, 2021
Microglia are resident immune cells in the central nervous system and play critical roles in brain immunity, development, and homeostasis. The pathology of Alzheimer’s disease (AD) triggers activation of microglia.
Hansen Wang
doaj   +1 more source

Normalizing single-cell RNA sequencing data: challenges and opportunities [PDF]

open access: yes, 2017
Single-cell transcriptomics is becoming an important component of the molecular biologist's toolkit. A critical step when analyzing data generated using this technology is normalization.
A Mortazavi   +47 more
core   +2 more sources

Home - About - Disclaimer - Privacy