Results 91 to 100 of about 3,543,075 (195)

Mining single-cell data for cell type–disease associations

NAR Genomics and Bioinformatics
Abstract A robust understanding of the cellular mechanisms underlying diseases sets the foundation for the effective design of drugs and other interventions. The wealth of existing single-cell atlases offers the opportunity to uncover high-resolution information on expression patterns across various cell types and time points.
Kevin G Chen, Kathryn O Farley, Timo Lassmann   +2 more
openaire   +2 more sources

Discovering Neuronal Cell Types and Their Gene Expression Profiles Using a Spatial Point Process Mixture Model

, 2016
Cataloging the neuronal cell types that comprise circuitry of individual brain regions is a major goal of modern neuroscience and the BRAIN initiative.
Anandkumar, Animashree, Borgs, Christian, Chayes, Jennifer, Fraenkel, Ernest, Hawrylycz, Michael, Huang, Furong, Ingrosso, Alessandro, Lein, Ed, Turaga, Srinivas   +8 more
core  

Exact solution of a two-type branching process: Clone size distribution in cell division kinetics

, 2009
We study a two-type branching process which provides excellent description of experimental data on cell dynamics in skin tissue (Clayton et al., 2007).
Antal T Krapivsky P L, Armitage P, Athreya K B, Bailey N T J, Bender C M, Bozic I Antal T Ohtsuki H Carter H Kim D Chen S Karchin R Vogelstein B Nowak M A, Durrett R Mayberry J, Flajolet P, Gradshteyn I S, Kendall D G, Kimmel M, Liggett T M, Nowak M A, P L Krapivsky, Potten C S, Tibor Antal, van Kampen N G   +16 more
core   +1 more source

Single-channel recordings from cultured human retinal pigment epithelial cells. [PDF]

, 1988
We have applied patch-clamp techniques to on-cell and excised-membrane patches from human retinal pigment epithelial cells in tissue culture. Single-channel currents from at least four ion channel types were observed: three or more potassium-selective ...
Fain, GL, Fox, JA, Pfeffer, BA
core  

CellSIUS provides sensitive and specific detection of rare cell populations from complex single-cell RNA-seq data

Genome Biology, 2019
We develop CellSIUS (Cell Subtype Identification from Upregulated gene Sets) to fill a methodology gap for rare cell population identification for scRNA-seq data.
Rebekka Wegmann, Marilisa Neri, Sven Schuierer, Bilada Bilican, Huyen Hartkopf, Florian Nigsch, Felipa Mapa, Annick Waldt, Rachel Cuttat, Max R. Salick, Joe Raymond, Ajamete Kaykas, Guglielmo Roma, Caroline Gubser Keller   +13 more
doaj   +1 more source

Genetic analysis by single cell typing

Animal Biotechnology, 1994
Abstract The analysis of DNA sequences in a single cell using the polymerase chain reaction (PCR) is now possible. This has led to the development of a new method for constructing genetic maps based on the analysis of single sperm. The method is partially automated and is capable of constructing high resolution genetic maps of DNA polymorphisms.
openaire   +1 more source

Missing cell types in single-cell references impact deconvolution of bulk data but are detectable

Genome Biology
Background Advancements in RNA sequencing have expanded our ability to study gene expression profiles of biological samples in bulk tissue and single cells.
Adriana Ivich, Natalie R. Davidson, Laurie Grieshober, Weishan Li, Stephanie C. Hicks, Jennifer A. Doherty, Casey S. Greene   +6 more
doaj   +1 more source

Single cell analysis reveals immune cell-adipocyte crosstalk regulating the transcription of thermogenic adipocytes. [PDF]

, 2019
Immune cells are vital constituents of the adipose microenvironment that influence both local and systemic lipid metabolism. Mice lacking IL10 have enhanced thermogenesis, but the roles of specific cell types in the metabolic response to IL10 remain to ...
Ahn, In Sook, Arneson, Douglas, Diamante, Graciel, Feng, An-Chieh, Hart, Sydney K, Lee, Stephen D, Rajbhandari, Abha K, Rajbhandari, Prashant, Reue, Karen, Santos, Luis C, Smale, Stephen T, Thomas, Brandon J, Tontonoz, Peter, Vergnes, Laurent, Yang, Xia, Zaghari, Nima   +15 more
core   +1 more source

Single-cell type annotation with deep learning in 265 cell types for humans

Bioinformatics Advances
Abstract Motivation Annotating cell types is a challenging yet essential task in analyzing single-cell RNA sequencing data. However, due to the lack of a gold standard, it is difficult to evaluate the algorithms fairly and an overfitting algorithm may be favored in benchmarks.
Sherry Dong, Kaiwen Deng, Xiuzhen Huang
openaire   +2 more sources

Multiplexed single-cell analysis reveals prognostic and nonprognostic T cell types in human colorectal cancer

JCI Insight, 2022
Clinical outcomes in colorectal cancer (CRC) correlate with T cell infiltrates, but the specific contributions of heterogenous T cell types remain unclear.
Kazuya Masuda, Adam Kornberg, Jonathan Miller, Sijie Lin, Nathan Suek, Theo Botella, Kerim A. Secener, Alyssa M. Bacarella, Liang Cheng, Matthew Ingham, Vilma Rosario, Ahmed M. Al-Mazrou, Steven A. Lee-Kong, Ravi P. Kiran, Marlon Stoeckius, Peter Smibert, Armando Del Portillo, Paul E. Oberstein, Peter A. Sims, Kelley S. Yan, Arnold Han   +20 more
doaj   +1 more source