Results 31 to 40 of about 1,198,587 (324)

Single-cell RNA sequencing identifies distinct mouse medial ganglionic eminence cell types. [PDF]

open access: yes, 2017
Many subtypes of cortical interneurons (CINs) are found in adult mouse cortices, but the mechanism generating their diversity remains elusive. We performed single-cell RNA sequencing on the mouse embryonic medial ganglionic eminence (MGE), the major ...
Chen, Ying-Jiun J   +7 more
core   +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

Functionally heterogeneous human satellite cells identified by single cell RNA sequencing. [PDF]

open access: yes, 2020
Although heterogeneity is recognized within the murine satellite cell pool, a comprehensive understanding of distinct subpopulations and their functional relevance in human satellite cells is lacking.
Aguilar   +106 more
core   +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

Single-cell RNA sequencing v2

open access: yes, 2021
Single-cell RNA sequencing (scRNA-seq) allows for transcriptional profiling of individual cells within a heterogenous sample. This protocol describes a method for performing scRNA-seq using handpicked pancreatic islets from organ donors.
Klaus H. Kaestner Lab, Suzanne Shapira
openaire   +1 more source

The Application of Single-Cell RNA Sequencing in Vaccinology

open access: yesJournal of Immunology Research, 2020
Single-cell RNA sequencing allows highly detailed profiling of cellular immune responses from limited-volume samples, advancing prospects of a new era of systems immunology. The power of single-cell RNA sequencing offers various opportunities to decipher
Andrés Noé   +4 more
doaj   +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

PanglaoDB: a web server for exploration of mouse and human single-cell RNA sequencing data

open access: yesDatabase J. Biol. Databases Curation, 2019
Single-cell RNA sequencing is an increasingly used method to measure gene expression at the single cell level and build cell-type atlases of tissues. Hundreds of single-cell sequencing datasets have already been published. However, studies are frequently
Oscar Franzén, L. Gan, J. Björkegren
semanticscholar   +1 more source

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