Evidence map›Paper›PMID 32869744›Full record

ArticleeLife2020

Extensive and spatially variable within-cell-type heterogeneity across the basolateral amygdala.

Timothy P O'Leary, Kaitlin E Sullivan, Lihua Wang, Jody Clements, Andrew L Lemire, Mark S Cembrowski

Abstract read
In one paragraph

Article in eLife, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed
–field-weighted citation impact
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

52 citing papers in PubMed.

  1. Article
  2. Article
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  5. Risk reshapes amygdala representation of choice.bioRxiv : the preprint server for biology · 2025
    Article
  6. Article
  7. Article
  8. Establishing a continuum of cell types in the visual cortex.bioRxiv : the preprint server for biology · 2025
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Review
  18. Article
  19. Identification of a stress-responsive subregion of the basolateral amygdala in male rats.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024
    Article
  20. Article
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

6 authors.

Timothy P O'Leary *Department of Cellular and Physiological Sciences, Life Sciences Institute, University of British Columbia, Vancouver, Canada.
Kaitlin E Sullivan *Department of Cellular and Physiological Sciences, Life Sciences Institute, University of British Columbia, Vancouver, Canada.ORCID 0000-0001-8043-7111
Lihua WangJanelia Research Campus, Howard Hughes Medical Institute, Ashburn, United States.
Jody ClementsJanelia Research Campus, Howard Hughes Medical Institute, Ashburn, United States.
Andrew L LemireJanelia Research Campus, Howard Hughes Medical Institute, Ashburn, United States.
Mark S CembrowskiDepartment of Cellular and Physiological Sciences, Life Sciences Institute, University of British Columbia, Vancouver, Canada.ORCID 0000-0001-8275-7362

Funding

Canadian Foundation for Innovation 38369CIHR PJT-419798Michael Smith Foundation for Health Research SCH-2020-0383Natural Sciences and Engineering Research Council of Canada RGPIN-2019-04507
6 · The paper itself

Abstract

The basolateral amygdala complex (BLA), extensively connected with both local amygdalar nuclei as well as long-range circuits, is involved in a diverse array of functional roles. Understanding the mechanisms of such functional diversity will be greatly informed by understanding the cell-type-specific landscape of the BLA. Here, beginning with single-cell RNA sequencing, we identified both discrete and graded continuous gene-expression differences within the mouse BLA. Via in situ hybridization, we next mapped this discrete transcriptomic heterogeneity onto a sharp spatial border between the basal and lateral amygdala nuclei, and identified continuous spatial gene-expression gradients within each of these regions. These discrete and continuous spatial transformations of transcriptomic cell-type identity were recapitulated by local morphology as well as long-range connectivity. Thus, BLA excitatory neurons are a highly heterogenous collection of neurons that spatially covary in molecular, cellular, and circuit properties. This heterogeneity likely drives pronounced spatial variation in BLA computation and function.

Indexed as

AnimalsBasolateral Nuclear ComplexMaleMiceMice, Inbred C57BLNeuronsamygdalacell typemouseneural circuitsneurosciencetranscriptomics

Identifiers

PMID32869744
PMCPMC7486123

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.