Evidence map›Paper›PMID 26413480›Full record

ArticleGenomics data2015

Transcriptome profiling of sleeping, waking, and sleep deprived adult heterozygous Aldh1L1 - eGFP-L10a mice.

Michele Bellesi, Luisa de Vivo, Giulio Tononi, Chiara Cirelli

Abstract read
In one paragraph

Article in Genomics data, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Sleep loss induces cholesterol-associated myelin dysfunction.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Glial phagocytic clearance in Parkinson's disease.Molecular neurodegeneration · 2019
    Review
  8. Astrocytes and the modulation of sleep.Current opinion in neurobiology · 2017
    Review
  9. Review
  10. 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

4 authors.

Michele BellesiDept. of Psychiatry; University of Wisconsin-Madison; 6001 Research Park Blvd; Madison, WI 53719 USA.
Luisa de VivoDept. of Psychiatry; University of Wisconsin-Madison; 6001 Research Park Blvd; Madison, WI 53719 USA.
Giulio TononiDept. of Psychiatry; University of Wisconsin-Madison; 6001 Research Park Blvd; Madison, WI 53719 USA.
Chiara CirelliDept. of Psychiatry; University of Wisconsin-Madison; 6001 Research Park Blvd; Madison, WI 53719 USA.

Funding

The cost of plasticity: from cells to systemsR01MH099231 · NIMH · UNIVERSITY OF WISCONSIN-MADISON · PI CIRELLI, CHIARA, TONONI, GIULIO · 2013 to 2017
$3.3M
NIMH NIH HHS R01 MH099231
6 · The paper itself

Abstract

Transcriptomic studies revealed that hundreds of mRNAs show differential expression in the brains of sleeping relative to awake rats, mice, flies, and sparrows. Although these results have offered clues regarding the molecular consequences of sleep and sleep loss, their functional significance thus far has been limited. This is probably because the previous studies pooled transcripts from all brain cells, including neurons and glia. In Bellesi et al. 2015 [1], we used the translating ribosome affinity purification technology (TRAP) and microarray analysis to obtain a genome-wide mRNA profiling of astrocytes as a function of sleep and wake. We used bacterial artificial chromosome (BAC) transgenic mice expressing eGFP tagged ribosomal protein L10a under the promoter of the Aldh1L1 gene, a highly expressed astrocytic gene. Using this approach, we could extract only the astrocytic mRNAs, and only those already committed to be translated into proteins (L10a is part of the translational machinery). Here, we report a detailed description of the protocol used in the study [1]. Array data have been submitted to NCBI GEO under accession number (GSE69079).

Identifiers

PMID26413480
PMCPMC4580259

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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.