Evidence map›Paper›PMID 27826225›Full record

ArticleFrontiers in neuroscience2016

Single-Cell Transcriptional Analysis Reveals Novel Neuronal Phenotypes and Interaction Networks Involved in the Central Circadian Clock.

James Park, Haisun Zhu, Sean O'Sullivan, Babatunde A Ogunnaike, David R Weaver, James S Schwaber, Rajanikanth Vadigepalli

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neuroscience, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
2.6field-weighted citation impact, top 10% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

41 citing papers in PubMed, 62 citations in OpenAlex.

  1. Review
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  4. The Art of Chilling Out: How Neurons Regulate Torpor.BioEssays : news and reviews in molecular, cellular and developmental biology · 2025
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  10. Astrocytic control of extracellular GABA drives circadian timekeeping in the suprachiasmatic nucleus.Proceedings of the National Academy of Sciences of the United States of America · 2023
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 1 country.

James ParkDepartment of Pathology, Anatomy and Cell Biology, Daniel Baugh Institute for Functional Genomics and Computational Biology, Sidney Kimmel Medical College, Thomas Jefferson UniversityPhiladelphia, PA, USA; Department of Chemical and Biomolecular Engineering, University of DelawareNewark, NJ, USA.
Haisun ZhuDepartment of Pathology, Anatomy and Cell Biology, Daniel Baugh Institute for Functional Genomics and Computational Biology, Sidney Kimmel Medical College, Thomas Jefferson University Philadelphia, PA, USA.
Sean O'SullivanDepartment of Pathology, Anatomy and Cell Biology, Daniel Baugh Institute for Functional Genomics and Computational Biology, Sidney Kimmel Medical College, Thomas Jefferson University Philadelphia, PA, USA.
Babatunde A OgunnaikeDepartment of Chemical and Biomolecular Engineering, University of Delaware Newark, NJ, USA.
David R WeaverDepartment of Neurobiology, University of Massachusetts Medical School Worcester, MA, USA.
James S SchwaberDepartment of Pathology, Anatomy and Cell Biology, Daniel Baugh Institute for Functional Genomics and Computational Biology, Sidney Kimmel Medical College, Thomas Jefferson UniversityPhiladelphia, PA, USA; Department of Chemical and Biomolecular Engineering, University of DelawareNewark, NJ, USA.
Rajanikanth VadigepalliDepartment of Pathology, Anatomy and Cell Biology, Daniel Baugh Institute for Functional Genomics and Computational Biology, Sidney Kimmel Medical College, Thomas Jefferson UniversityPhiladelphia, PA, USA; Department of Chemical and Biomolecular Engineering, University of DelawareNewark, NJ, USA.
Thomas Jefferson University · USUniversity of Delaware · USUniversity of Massachusetts Chan Medical School · US

Funding

Alcohol Tissue InjuryT32AA007463 · NIAAA · THOMAS JEFFERSON UNIVERSITY · PI HOEK, JOANNES B, VADIGEPALLI, RAJANIKANTH · 1985 to 2021
$9.1M
Integrated Signaling and Transcriptional Networks in Circadian Clock NeuronsR01GM076495 · NIGMS · THOMAS JEFFERSON UNIVERSITY · PI SCHWABER, JAMES · 2007 to 2010
$2.1M
NIAAA NIH HHS T32 AA007463NIGMS NIH HHS R01 GM076495
6 · The paper itself

Abstract

Single-cell heterogeneity confounds efforts to understand how a population of cells organizes into cellular networks that underlie tissue-level function. This complexity is prominent in the mammalian suprachiasmatic nucleus (SCN). Here, individual neurons exhibit a remarkable amount of asynchronous behavior and transcriptional heterogeneity. However, SCN neurons are able to generate precisely coordinated synaptic and molecular outputs that synchronize the body to a common circadian cycle by organizing into cellular networks. To understand this emergent cellular network property, it is important to reconcile single-neuron heterogeneity with network organization. In light of recent studies suggesting that transcriptionally heterogeneous cells organize into distinct cellular phenotypes, we characterized the transcriptional, spatial, and functional organization of 352 SCN neurons from mice experiencing phase-shifts in their circadian cycle. Using the community structure detection method and multivariate analytical techniques, we identified previously undescribed neuronal phenotypes that are likely to participate in regulatory networks with known SCN cell types. Based on the newly discovered neuronal phenotypes, we developed a data-driven neuronal network structure in which multiple cell types interact through known synaptic and paracrine signaling mechanisms. These results provide a basis from which to interpret the functional variability of SCN neurons and describe methodologies toward understanding how a population of heterogeneous single cells organizes into cellular networks that underlie tissue-level function.

Indexed as

cell-networknetwork topologysingle-cellstranscriptional heterogeneitytranscriptional phenotypes

Identifiers

PMID27826225
PMCPMC5079116
OpenAlexW2536387389

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.