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Overview of single‐cell RNA sequencing analysis and its application to spermatogenesis research

open access: yesReproductive Medicine and Biology, 2023
Background Single‐cell transcriptomics allows parallel analysis of multiple cell types in tissues. Because testes comprise somatic cells and germ cells at various stages of spermatogenesis, single‐cell RNA sequencing is a powerful tool for investigating ...
Takahiro Suzuki
doaj   +1 more source

Single-cell RNA sequencing v1 [PDF]

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

Challenges and opportunities to computationally deconvolve heterogeneous tissue with varying cell sizes using single-cell RNA-sequencing datasets

open access: yesGenome Biology, 2023
Deconvolution of cell mixtures in “bulk” transcriptomic samples from homogenate human tissue is important for understanding disease pathologies. However, several experimental and computational challenges impede transcriptomics-based deconvolution ...
Sean K. Maden   +5 more
doaj   +1 more source

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

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

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

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

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