Results 41 to 50 of about 183,994 (309)

Single‐cell RNA sequencing in breast cancer: Understanding tumor heterogeneity and paving roads to individualized therapy

open access: yesCancer Communications, 2020
Single‐cell RNA sequencing (scRNA‐seq) is a novel technology that allows transcriptomic analyses of individual cells. During the past decade, scRNA‐seq sensitivity, accuracy, and efficiency have improved due to innovations including more sensitive ...
Shuning Ding, Xiaosong Chen, Kunwei Shen
doaj   +1 more source

scRNA-seq analysis of cells comprising the amphioxus notochord

open access: yesDevelopmental Biology, 2023
Cephalochordates occupy a key phylogenetic position for deciphering the origin and evolution of chordates, since they diverged earlier than urochordates and vertebrates. The notochord is the most prominent feature of chordates. The amphioxus notochord features coin-shaped cells bearing myofibrils.
Hiroki Takahashi   +5 more
openaire   +2 more sources

scRNA-seq data of human skin from patients with atopic dermatitis

open access: yes, 2023
This is the scRNA-seq data of non-lesional and lesional human skin from patients with atopic dermatitis, which is used for running the main CellChat tutorial entitled "CellChat-vignette" (Inference and analysis of cell-cell communication using CellChat ...
Suoqin Jin (14184602)
core   +1 more source

Identification of cell barcodes from long-read single-cell RNA-seq with BLAZE

open access: yesGenome Biology, 2023
Long-read single-cell RNA sequencing (scRNA-seq) enables the quantification of RNA isoforms in individual cells. However, long-read scRNA-seq using the Oxford Nanopore platform has largely relied upon matched short-read data to identify cell barcodes. We
Yupei You   +6 more
doaj   +1 more source

Comparative Analysis of Single-cell and Single-nucleus RNA-sequencing in a Rabbit Model of Retinal Detachment-related Proliferative Vitreoretinopathy

open access: yesOphthalmology 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

scRNA-seq analysis for mycn mutant and WT embryos at 3 dpf.

open access: yes, 2022
(A) Dot plot showing expressions of 2 selected marker genes in each cell type. Dot size indicates the percentage of cells expressing the indicated genes; dot color indicates the average expression level of indicated genes.
Yang Dong (234336)   +19 more
core   +1 more source

Tumor Functional Heterogeneity Unraveled by scRNA-seq Technologies [PDF]

open access: yesTrends in Cancer, 2020
Effective cancer treatment has been precluded by the presence of various forms of intratumoral complexity that drive treatment resistance and metastasis. Recent single-cell sequencing technologies are significantly facilitating the characterization of tumor internal architecture during disease progression.
González Silva, Laura   +2 more
openaire   +5 more sources

Applications of single‐cell sequencing for the field of otolaryngology: A contemporary review

open access: yesLaryngoscope 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

constclust: Consistent Clusters for scRNA-seq [PDF]

open access: yes, 2020
1 Abstract Unsupervised clustering to identify distinct cell types is a crucial step in the analysis of scRNA-seq data. Current clustering methods are dependent on a number of parameters whose effect on the resulting solution’s accuracy and reproducibility are poorly understood.
Isaac Virshup   +3 more
openaire   +1 more source

Methods, Challenges and Potentials of Single Cell RNA-seq [PDF]

open access: yes, 2012
RNA-sequencing (RNA-seq) has become the tool of choice for transcriptomics. Several recent studies demonstrate its successful adaption to single cell analysis. This allows new biological insights into cell differentiation, cell-to-cell variation and gene
Daniel Hebenstreit, Hebenstreit, Daniel
core   +1 more source

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