Results 51 to 60 of about 183,994 (309)
scRNA-seq constructs a reference for CM maturation.
, 2021 A. Mouse model used to generate perinatal maturation reference scRNA-seq library. In the aMHC-cre x mTmG mouse, CMs are labeled by GFP. This image was obtained and modified from “Brown Mouse Lab” by SVG-Clipart.com under a CC BY 4.0 license. B.
Suraj Kannan (10812701) +4 more
core +1 more source
scRNA-seq analyses of iNs and other cells.
, 2023 (A) UMAP combining all 9 samples: WT, Per1-/-, and Per2-/- cells on days 4, 7, and 10. (B) Dot plot showing top 3 marker genes in each cluster. (C) Temporal profiles of the proportions of 6 clusters.
Seunghyun Lim (14809635) +6 more
core +1 more source
BioTechniques, 2023 Single-cell RNA sequencing (scRNA-seq) is an important tool for understanding disease pathophysiology, including airway diseases. Currently, the majority of scRNA-seq studies in airway diseases have used invasive methods (airway biopsy, surgical ...
Firoozeh V Gerayeli +10 more
doaj +1 more source
iamzhangxiaoyu/scRNA-seq: Single cell rna seq
, 2021 Single cell rna ...
iamzhangxiaoyu
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Single-Cell Sequencing on Marine Life: Application and Future Development
Frontiers in Marine Science, 2022 Single-cell RNA-sequencing (scRNA-seq) is the genomic approach that directly examines gene expression information from individual cells and provides a higher resolution of cellular differences than bulk RNA-seq.
Jing Li +5 more
doaj +1 more source
Biological and Medical Importance of Cellular Heterogeneity Deciphered by Single-Cell RNA Sequencing
Cells, 2020 The present review discusses recent progress in single-cell RNA sequencing (scRNA-seq), which can describe cellular heterogeneity in various organs, bodily fluids, and pathologies (e.g., cancer and Alzheimer’s disease).
Rishikesh Kumar Gupta, Jacek Kuznicki
doaj +1 more source
Comparison of scRNA-seq data analysis method combinations
Briefings in Functional Genomics, 2022 AbstractSingle-cell ribonucleic acid (RNA)-sequencing (scRNA-seq) data analysis refers to the use of appropriate methods to analyze the dataset generated by RNA-sequencing performed on the single-cell transcriptome. It usually contains three steps: normalization to eliminate the technical noise, dimensionality reduction to facilitate visual ...
Li Xu +3 more
openaire +2 more sources
, 2023 Analysis scripts for loading and processing of scRNA-seq data.
Mark Cembrowski (11717381)
core +1 more source
Molecular Oncology, EarlyView.Glioma cells mainly express the endothelin receptor EDNRB, while EDNRA is restricted to a perivascular tumor subpopulation. Endothelin signaling reduces glioma cell proliferation while promoting migration and a proneural‐to‐mesenchymal transition associated with poor prognosis. This pathway activates Ca2+, K+, ERK, and STAT3 signalings and is regulated
Donovan Pineau +36 more
wiley +1 more source