Results 61 to 70 of about 1,214,396 (338)

Intracerebral Hemorrhage and Ischemic Stroke of Different Etiologies Have Distinct Alternatively Spliced mRNA Profiles in the Blood: a Pilot RNA-seq Study. [PDF]

open access: yes, 2015
Whole transcriptome studies have used 3'-biased expression microarrays to study genes regulated in the blood of stroke patients. However, alternatively spliced messenger RNA isoforms have not been investigated for ischemic stroke or intracerebral ...
Ander, Bradley P   +8 more
core   +2 more sources

EmptyDrops: distinguishing cells from empty droplets in droplet-based single-cell RNA sequencing data

open access: yesGenome Biology, 2019
Droplet-based single-cell RNA sequencing protocols have dramatically increased the throughput of single-cell transcriptomics studies. A key computational challenge when processing these data is to distinguish libraries for real cells from empty droplets.
A. Lun   +5 more
semanticscholar   +1 more source

Capturing the ‘ome’ : the expanding molecular toolbox for RNA and DNA library construction [PDF]

open access: yes, 2018
All sequencing experiments and most functional genomics screens rely on the generation of libraries to comprehensively capture pools of targeted sequences.
Boone, Morgane   +2 more
core   +2 more sources

Single cell RNA sequencing of human liver reveals distinct intrahepatic macrophage populations

open access: yesNature Communications, 2018
The liver is the largest solid organ in the body and is critical for metabolic and immune functions. However, little is known about the cells that make up the human liver and its immune microenvironment.
S. Macparland   +32 more
semanticscholar   +1 more source

Sample Multiplexing for Retinal Single-Cell RNA-Sequencing [PDF]

open access: yesiScience
SummaryRare cell populations can be challenging to characterize using microfluidic single-cell RNA sequencing (scRNA-seq) platforms. Typically, the population of interest must be enriched and pooled from multiple biological specimens for efficient collection.
Justin Ma   +8 more
openaire   +4 more sources

Revolutionizing immunology with single-cell RNA sequencing [PDF]

open access: yesCellular & Molecular Immunology, 2019
The immune system is composed of a complex hierarchy of cell types that protect the organism against disease and maintain homeostasis. Identifying heterogeneity of immune cells is the key to understanding the immune system. Advanced single-cell RNA sequencing (scRNA-seq) technologies are revolutionizing our ability to study immunology.
Haide, Chen, Fang, Ye, Guoji, Guo
openaire   +2 more sources

scAnalyzeR: A Comprehensive Software Package With Graphical User Interface for Single-Cell RNA Sequencing Analysis and its Application on Liver Cancer

open access: yesTechnology in Cancer Research & Treatment, 2022
Introduction: The application of single-cell RNA sequencing to delineate tissue heterogeneity and complexity has become increasingly popular. Given its tremendous resolution and high-dimensional capacity for in-depth investigation, single-cell RNA ...
GS Chuwdhury MPhil   +2 more
doaj   +1 more source

Molecular recording of mammalian embryogenesis. [PDF]

open access: yes, 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
core   +2 more sources

Transcriptomic profiling of 39 commonly-used neuroblastoma cell lines [PDF]

open access: yes, 2017
Neuroblastoma cell lines are an important and cost-effective model used to study oncogenic drivers of the disease. While many of these cell lines have been previously characterized with SNP, methylation, and/or mRNA expression microarrays, there has not ...
Adams, Rebecca N.   +9 more
core   +5 more sources

Simultaneous profiling of transcriptome and DNA methylome from a single cell. [PDF]

open access: yes, 2016
BackgroundSingle-cell transcriptome and single-cell methylome technologies have become powerful tools to study RNA and DNA methylation profiles of single cells at a genome-wide scale. A major challenge has been to understand the direct correlation of DNA
An, Qin   +9 more
core   +3 more sources

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