Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Inputs drive cell phenotype variability.

Genome research - 1 Jun 2014

Park James, Brureau Anthony, Kernan Kate, Starks Alexandria, Gulati Sonali, Ogunnaike Babatunde, Schwaber James, Vadigepalli Rajanikanth

Abstract excerpt

What is the significance of the extensive variability observed in individual members of a single-cell phenotype? This question is particularly relevant to the highly differentiated organization of the brain. In this study, for the first time, we analyze the in vivo variability within a neuronal phenotype in terms of input type. We developed a large-scale gene-expression data set from several hundred single...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Gene Regulatory Networks
Share to Models, Genetic
Share to Neurons

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Proto-Oncogene Proteins c-fos

Share to Synaptic Transmission

Share to Transcription, Genetic

Share to Tyrosine 3-Monooxygenase

Source

Open in PubMed Open full text

Identifiers

PMID: 24671852
DOI: 10.1101/gr.161802.113
PMCID: PMC4032857

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 2 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Inputs drive cell phenotype variability.PMID 24671852Read ↗

Identifying functional gene regulatory network phenotypes underlying single cell transcriptional variability.Semantic proximity Read ↗

Transcriptomically-measured gene expression predicts physiological variation across single neurons in humans and miceSemantic proximity Read ↗

The landscape of regulatory genes in brain-wide neuronal phenotypes of a vertebrate brain.Semantic proximity Read ↗

Deep sequencing reveals cell-type-specific patterns of single-cell transcriptome variation.Semantic proximity Read ↗

Transcriptomic correlates of state modulation in GABAergic interneurons: A cross-species analysisSemantic proximity Read ↗

Neuroscience. Mapping neuronal diversity one cell at a time.Semantic proximity Read ↗

Diversity training for signal transduction: leveraging cell-to-cell variability to dissect cellular signaling, differentiation and death.Semantic proximity Read ↗

Cell-type specific transcriptomic signatures of neocortical circuit organization and their relevance to autismSemantic proximity Read ↗

Human Neocortical Glutamatergic Neurons Revealed Through Multimodal ProfilingSemantic proximity Read ↗

Variation is function: Are single cell differences functionally important?: Testing the hypothesis that single cell variation is required for aggregate function.Semantic proximity Read ↗

The evolution of the neocortex in mammals: how is phenotypic diversity generated?Semantic proximity Read ↗

Mapping the landscape of lineage-specific dynamic regulation of gene expression using single-cell transcriptomics and application to genetics of complex diseaseSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.