Results 21 to 30 of about 1,198,587 (324)

Transcriptomics and single‐cell RNA‐sequencing [PDF]

open access: yesRespirology, 2018
ABSTRACTThe past four decades have yielded advances in molecular biology allowing detailed characterization of the cellular genome and the transcriptome: the complete set of RNA species transcribed by a cell or tissue. Through transcriptomics and next‐generation sequencing, we can now attain an unprecedented level of detail in understanding cellular ...
Daniel C. Chambers   +3 more
openaire   +3 more sources

Single‐cell RNA sequencing technologies and applications: A brief overview

open access: yesClinical and Translational Medicine, 2022
Single‐cell RNA sequencing (scRNA‐seq) technology has become the state‐of‐the‐art approach for unravelling the heterogeneity and complexity of RNA transcripts within individual cells, as well as revealing the composition of different cell types and ...
D. Jovic   +5 more
semanticscholar   +1 more source

Single-cell RNA Sequencing in Immunology

open access: yesCurrent Genomics, 2020
The complex immune system is involved in multiple pathological processes. Single-cell RNA sequencing (scRNA-seq) is able to analyze complex cell mixtures correct to a single cell and single molecule, thus is qualified to analyze immune reactions in several diseases.
Yirui Cao   +3 more
openaire   +3 more sources

SPsimSeq : semi-parametric simulation of bulk and single-cell RNA-sequencing data [PDF]

open access: yes, 2020
SPsimSeq is a semi-parametric simulation method to generate bulk and single-cell RNA-sequencing data. It is designed to simulate gene expression data with maximal retention of the characteristics of real data.
Assefa, Alemu Takele   +2 more
core   +1 more source

Clonal kinetics and single-cell transcriptional profiling of CAR-T cells in patients undergoing CD19 CAR-T immunotherapy [PDF]

open access: yes, 2020
Chimeric antigen receptor (CAR) T-cell therapy has produced remarkable anti-tumor responses in patients with B-cell malignancies. However, clonal kinetics and transcriptional programs that regulate the fate of CAR-T cells after infusion remain poorly ...
Adair, Jennifer E.   +16 more
core   +1 more source

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

DoubletFinder: Doublet detection in single-cell RNA sequencing data using artificial nearest neighbors

open access: yesbioRxiv, 2018
Single-cell RNA sequencing (scRNA-seq) using droplet microfluidics occasionally produces transcriptome data representing more than one cell. These technical artifacts are caused by cell doublets formed during cell capture and occur at a frequency ...
Christopher S. McGinnis   +2 more
semanticscholar   +1 more source

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 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

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

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