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]

open access: yes, 2019
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

open access: yesNature Methods, 2017
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

Single-cell RNA-seq data analysis on the receptor ACE2 expression reveals the potential risk of different human organs vulnerable to 2019-nCoV infection

open access: yesFrontiers in Medicine, 2020
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

High resolution mapping of the tumor microenvironment using integrated single-cell, spatial and in situ analysis

open access: yesNature Communications, 2023
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

open access: yesMicromachines, 2019
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

open access: yesComputational and Structural Biotechnology Journal, 2021
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

open access: yesNature Biotechnology, 2018
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

Differential Gene Expression in Individual Papilla-Resistant and Powdery Mildew-Infected Barley Epidermal Cells

open access: yesMolecular Plant-Microbe Interactions, 2004
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

Cross-species single-cell analysis of pancreatic ductal adenocarcinoma reveals antigen-presenting cancer-associated fibroblasts.

open access: yesCancer Discovery, 2019
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.

open access: yesCell, 2021
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

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