Results 31 to 40 of about 9,923,505 (317)
Label-Free Metabolic Classification of Single Cells in Droplets Using the Phasor Approach to Fluorescence Lifetime Imaging Microscopy. [PDF]
Characterization of single cell metabolism is imperative for understanding subcellular functional and biochemical changes associated with healthy tissue development and the progression of numerous diseases.
Aghaamoo, Mohammad +4 more
core +1 more source
SCENIC: Single-cell regulatory network inference and clustering
We present SCENIC, a computational method for simultaneous gene regulatory network reconstruction and cell-state identification from single-cell RNA-seq data (http://scenic.aertslab.org).
S. Aibar +13 more
semanticscholar +1 more source
It has been known that, the novel coronavirus, 2019-nCoV, which is considered similar to SARS-CoV, invades human cells via the receptor angiotensin converting enzyme II (ACE2).
Xin Zou +5 more
semanticscholar +1 more source
Single-cell and spatial technologies that profile gene expression across a whole tissue are revolutionizing the resolution of molecular states in clinical samples. Current commercially available technologies provide whole transcriptome single-cell, whole
Amanda Janesick +14 more
semanticscholar +1 more source
Microfluidic Single-Cell Manipulation and Analysis: Methods and Applications
In a forest of a hundred thousand trees, no two leaves are alike. Similarly, no two cells in a genetically identical group are the same. This heterogeneity at the single-cell level has been recognized to be vital for the correct interpretation of ...
Tao Luo, Lei Fan, Rong Zhu, Dong Sun
doaj +1 more source
scDA: Single cell discriminant analysis for single-cell RNA sequencing data
Single-cell RNA-sequencing (scRNA-seq) techniques provide unprecedented opportunities to investigate phenotypic and molecular heterogeneity in complex biological systems.
Qianqian Shi +4 more
doaj +1 more source
Dimensionality reduction for visualizing single-cell data using UMAP
Advances in single-cell technologies have enabled high-resolution dissection of tissue composition. Several tools for dimensionality reduction are available to analyze the large number of parameters generated in single-cell studies. Recently, a nonlinear
E. Becht +7 more
semanticscholar +1 more source
Resistance and susceptibility in barley to the powdery mildew fungus (Blumeria graminis f. sp. hordei) is determined at the single-cell level. Even in genetically compatible interactions, attacked plant epidermal cells defend themselves against attempted
Torben Gjetting +3 more
doaj +1 more source
Cancer-associated fibroblasts (CAFs) are major players in the progression and drug resistance of pancreatic ductal adenocarcinoma (PDAC). CAFs constitute a diverse cell population consisting of several recently described subtypes, although the extent of ...
Ela Elyada +21 more
semanticscholar +1 more source
Inhibitory CD161 receptor identified in glioma-infiltrating T cells by single-cell analysis.
T cells are critical effectors of cancer immunotherapies, but little is known about their gene expression programs in diffuse gliomas. Here, we leverage single-cell RNA sequencing (RNA-seq) to chart the gene expression and clonal landscape of tumor ...
N. Mathewson +39 more
semanticscholar +1 more source

