Results 1 to 10 of about 1,731,641 (260)
Single-cell gene expression analysis of cryopreserved equine bronchoalveolar cells. [PDF]
Front Immunol, 2022 The transcriptomic profile of a cell population can now be studied at the cellular level using single-cell mRNA sequencing (scRNA-seq). This novel technique provides the unprecedented opportunity to explore the cellular composition of the bronchoalveolar lavage fluid (BALF) of the horse, a species for which cell type markers are poorly described. Here,
Sage SE +5 more
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CoCoA-diff: counterfactual inference for single-cell gene expression analysis. [PDF]
Genome Biol, 2021 Abstract Finding a causal gene is a fundamental problem in genomic medicine. We present a causal inference framework, CoCoA-diff, that prioritizes disease genes by adjusting confounders without prior knowledge of control variables in single-cell RNA-seq data.
Park YP, Kellis M.
europepmc +6 more sources
Single-Cell and Single-Molecule Analysis of Gene Expression Regulation [PDF]
Annual Review of Genetics, 2016 Recent advancements in single-cell and single-molecule imaging technologies have resolved biological processes in time and space that are fundamental to understanding the regulation of gene expression. Observations of single-molecule events in their cellular context have revealed highly dynamic aspects of transcriptional and post-transcriptional ...
Maria Vera +2 more
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ZIFA: Dimensionality reduction for zero-inflated single-cell gene expression analysis. [PDF]
Genome Biol, 2015 Abstract Single cell RNA-seq data allows insight into normal cellular function and diseases including cancer through the molecular characterisation of cellular state at the single-cell level. Dimensionality reduction of such high-dimensional datasets is essential for visualization and analysis, but single-cell RNA-seq data is ...
Pierson E, Yau C.
europepmc +5 more sources
Single-Cell Gene Expression Analysis of Cholinergic Neurons in the Arcuate Nucleus of the Hypothalamus. [PDF]
PLoS One, 2016 The cholinoceptive system in the hypothalamus, in particular in the arcuate nucleus (ARC), plays a role in regulating food intake. Neurons in the ARC contain multiple neuropeptides, amines, and neurotransmitters. To study molecular and neurochemical heterogeneity of ARC neurons, we combine single-cell qRT-PCR and single-cell whole transcriptome ...
Jeong JH, Woo YJ, Chua S, Jo YH.
europepmc +5 more sources
Characterizing heterogeneity in leukemic cells using single-cell gene expression analysis. [PDF]
Genome Biol, 2014 Abstract Background A fundamental challenge for cancer therapy is that each tumor contains a highly heterogeneous cell population whose structure and mechanistic underpinnings remain incompletely understood.
Saadatpour A, Guo G, Orkin SH, Yuan GC.
europepmc +6 more sources
Prediction of single-cell gene expression for transcription factor analysis [PDF]
GigaScience, 2020 Abstract Background Single-cell RNA sequencing is a powerful technology to discover new cell types and study biological processes in complex biological samples. A current challenge is to predict transcription factor (TF) regulation from single-cell RNA data.
Fatemeh Behjati Ardakani +10 more
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Differential variability analysis of single-cell gene expression data [PDF]
Briefings in Bioinformatics, 2023 Abstract The advent of single-cell RNA sequencing (scRNA-seq) technologies has enabled gene expression profiling at the single-cell resolution, thereby enabling the quantification and comparison of transcriptional variability among individual cells.
Jiayi Liu, Anat Kreimer, Wei Vivian Li
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Integrated microfluidic bioprocessor for single-cell gene expression analysis [PDF]
Proceedings of the National Academy of Sciences, 2008 An integrated microdevice is developed for the analysis of gene expression in single cells. The system captures a single cell, transcribes and amplifies the mRNA, and quantitatively analyzes the products of interest. The key components of the microdevice include integrated nanoliter metering pumps, a 200-nL RT-PCR reactor with a single-cell capture pad,
Nicholas M, Toriello +6 more
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Selecting gene features for unsupervised analysis of single-cell gene expression data
Briefings in Bioinformatics, 2021 AbstractSingle-cell RNA sequencing (scRNA-seq) technologies facilitate the characterization of transcriptomic landscapes in diverse species, tissues, and cell types with unprecedented molecular resolution. In order to evaluate various biological hypotheses using high-dimensional single-cell gene expression data, most computational and statistical ...
Jie Sheng, Wei Vivian Li
openaire +4 more sources