Results 21 to 30 of about 3,562,031 (294)

Evolutionary cell type mapping with single-cell genomics

open access: yesTrends in Genetics, 2021
A fundamental characteristic of animal multicellularity is the spatial coexistence of functionally specialized cell types that are all encoded by a single genome sequence. Cell type transcriptional programs are deployed and maintained by regulatory mechanisms that control the asymmetric, differential access to genomic information in each cell.
Tanay, Amos, Sebé-Pedrós, Arnau
openaire   +2 more sources

Cell type prioritization in single-cell data [PDF]

open access: yesNature Biotechnology, 2019
We present a machine-learning method to prioritize the cell types most responsive to biological perturbations within high-dimensional single-cell data. We validate our method, Augur (https://github.com/neurorestore/Augur), on a compendium of single-cell RNA-seq, chromatin accessibility, and imaging transcriptomics datasets. We apply Augur to expose the
Michael A. Skinnider   +13 more
openaire   +3 more sources

Molecular and spatial profiling of the paraventricular nucleus of the thalamus

open access: yeseLife, 2023
The paraventricular nucleus of the thalamus (PVT) is known to regulate various cognitive and behavioral processes. However, while functional diversity among PVT circuits has often been linked to cellular differences, the molecular identity and spatial ...
Claire Gao   +6 more
doaj   +1 more source

Single Cell RNA Sequencing Reveals Deep Homology of Dental Cell Types Across Vertebrates

open access: yesFrontiers in Dental Medicine, 2022
Like most mammals, humans replace their teeth once throughout their lives and have limited regenerative capabilities. In contrast, mice continually renew tissues lost due to gnawing through a well characterized population of stem cells on the labial ...
George W. Gruenhagen   +4 more
doaj   +1 more source

Single cell RNA-sequencing: replicability of cell types [PDF]

open access: yesCurrent Opinion in Neurobiology, 2019
Recent technical advances have enabled transcriptomics experiments at an unprecedented scale, and single-cell profiles from neural tissue are accumulating rapidly. There has been considerable effort to use these profiles to understand cell diversity, primarily through unsupervised clustering and differential expression analysis.
Megan Crow, Jesse Gillis
openaire   +2 more sources

Cell Type Purification by Single-Cell Transcriptome-Trained Sorting [PDF]

open access: yesSSRN Electronic Journal, 2018
Traditional cell type enrichment using fluorescence activated cell sorting (FACS) relies on methods that specifically label the cell type of interest. Here we propose GateID, a computational method that combines single-cell transcriptomics for unbiased cell type identification with FACS index sorting to purify cell types of choice.
Baron, C.S.   +7 more
openaire   +5 more sources

A cell marker‐based clustering strategy (cmCluster) for precise cell type identification of scRNA‐seq data

open access: yesQuantitative Biology, 2023
Background The precise and efficient analysis of single‐cell transcriptome data provides powerful support for studying the diversity of cell functions at the single‐cell level.
Yuwei Huang   +7 more
doaj   +1 more source

Annotating cell types in human single-cell RNA-seq data with CellO

open access: yesSTAR Protocols, 2021
Summary: Cell type annotation is important in the analysis of single-cell RNA-seq data. CellO is a machine-learning-based tool for annotating cells using the Cell Ontology, a rich hierarchy of known cell types.
Matthew N. Bernstein, Colin N. Dewey
doaj   +1 more source

Single‐cell transcriptomics reveals immune response of intestinal cell types to viral infection

open access: yesMolecular Systems Biology, 2021
Human intestinal epithelial cells form a primary barrier protecting us from pathogens, yet only limited knowledge is available about individual contribution of each cell type to mounting an immune response against infection.
Sergio Triana   +12 more
doaj   +1 more source

A human lung tumor microenvironment interactome identifies clinically relevant cell-type cross-talk. [PDF]

open access: yes, 2020
BackgroundTumors comprise a complex microenvironment of interacting malignant and stromal cell types. Much of our understanding of the tumor microenvironment comes from in vitro studies isolating the interactions between malignant cells and a single ...
Azizi, Armon   +19 more
core   +4 more sources

Home - About - Disclaimer - Privacy