Results 21 to 30 of about 9,923,505 (317)

SCANPY: large-scale single-cell gene expression data analysis

open access: yesGenome Biology, 2018
Scanpy is a scalable toolkit for analyzing single-cell gene expression data. It includes methods for preprocessing, visualization, clustering, pseudotime and trajectory inference, differential expression testing, and simulation of gene regulatory ...
F. A. Wolf   +2 more
semanticscholar   +1 more source

The MTT Assay: Utility, Limitations, Pitfalls, and Interpretation in Bulk and Single-Cell Analysis

open access: yesInternational Journal of Molecular Sciences, 2021
The MTT assay for cellular metabolic activity is almost ubiquitous to studies of cell toxicity; however, it is commonly applied and interpreted erroneously.
M. Ghasemi   +3 more
semanticscholar   +1 more source

Microfluidic Compartmentalization Platforms for Single Cell Analysis

open access: yesBiosensors, 2022
Many cellular analytical technologies measure only the average response from a cell population with an assumption that a clonal population is homogenous.
Xuhao Luo   +3 more
doaj   +1 more source

Reference-based analysis of lung single-cell sequencing reveals a transitional profibrotic macrophage

open access: yesNature Immunology, 2018
Tissue fibrosis is a major cause of mortality that results from the deposition of matrix proteins by an activated mesenchyme. Macrophages accumulate in fibrosis, but the role of specific subgroups in supporting fibrogenesis has not been investigated in ...
D. Aran   +11 more
semanticscholar   +1 more source

Single-cell western blotting. [PDF]

open access: yes, 2014
To measure cell-to-cell variation in protein-mediated functions, we developed an approach to conduct ∼10(3) concurrent single-cell western blots (scWesterns) in ∼4 h.
Herr, Amy E   +5 more
core   +2 more sources

EpiScanpy: integrated single-cell epigenomic analysis [PDF]

open access: yesNature Communications, 2021
Abstract EpiScanpy is a toolkit for the analysis of single-cell epigenomic data, namely single-cell DNA methylation and single-cell ATAC-seq data. To address the modality specific challenges from epigenomics data, epiScanpy quantifies the epigenome using multiple feature space constructions and builds a nearest neighbour graph using ...
Anna Danese   +5 more
openaire   +6 more sources

Cell type and gene expression deconvolution with BayesPrism enables Bayesian integrative analysis across bulk and single-cell RNA sequencing in oncology

open access: yesNature Cancer, 2022
Inferring single-cell compositions and their contributions to global gene expression changes from bulk RNA sequencing (RNA-seq) datasets is a major challenge in oncology.
Tinyi Chu   +3 more
semanticscholar   +1 more source

An end-to-end software solution for the analysis of high-throughput single-cell migration data [PDF]

open access: yes, 2017
The systematic study of single-cell migration requires the availability of software for assisting data inspection, quality control and analysis. This is especially important for high-throughput experiments, where multiple biological conditions are tested
Ampe, Christophe   +5 more
core   +2 more sources

Hierarchical mechanism of amino acid sensing by the T-box riboswitch

open access: yesNature Communications, 2018
Riboswitches on 5′ ends of mRNAs are important for bacterial gene regulation. Here the authors probe the mechanism of a tRNA aminoacylation sensing T-box riboswitch using single-molecule fluorescence microscopy to characterize dynamic solution ...
Krishna C. Suddala   +5 more
doaj   +1 more source

Microfluidics-Based Single-Cell Research for Intercellular Interaction

open access: yesFrontiers in Cell and Developmental Biology, 2021
Intercellular interaction between cell–cell and cell–ECM is critical to numerous biology and medical studies, such as stem cell differentiation, immunotherapy and tissue engineering. Traditional methods employed for delving into intercellular interaction
Long Pang   +10 more
doaj   +1 more source

Home - About - Disclaimer - Privacy