Evidence map›Paper›PMID 24367289›Full record

ArticleFrontiers in molecular neuroscience2013

Genome-wide assessment of post-transcriptional control in the fly brain.

Shaul Mezan, Reut Ashwal-Fluss, Rom Shenhav, Manuel Garber, Sebastian Kadener

Abstract read
In one paragraph

Article in Frontiers in molecular neuroscience, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. PERIOD-controlled deadenylation of theProceedings of the National Academy of Sciences of the United States of America · 2019
    Article
  3. Article
  4. Article
  5. Article
  6. Novel roles of non-coding brain RNAs in health and disease.Frontiers in molecular neuroscience · 2014
    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

5 authors.

Shaul MezanBiological Chemistry Department, Silberman Institute of Life Sciences, The Hebrew University of Jerusalem Jerusalem, Israel.
Reut Ashwal-FlussBiological Chemistry Department, Silberman Institute of Life Sciences, The Hebrew University of Jerusalem Jerusalem, Israel.
Rom ShenhavBiological Chemistry Department, Silberman Institute of Life Sciences, The Hebrew University of Jerusalem Jerusalem, Israel.
Manuel GarberProgram in Bioinformatics and Integrative Biology, University of Massachusetts Medical School Worcester, MA, USA.
Sebastian KadenerBiological Chemistry Department, Silberman Institute of Life Sciences, The Hebrew University of Jerusalem Jerusalem, Israel.

Funding

University of Massachusetts Center for Clinical and Translational ScienceUL1TR000161 · NCATS · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI LUZURIAGA, KATHERINE F · 2012 to 2015
$11.0M
European Research Council 260911NCATS NIH HHS UL1 TR000161
6 · The paper itself

Abstract

Post-transcriptional control of gene expression has central importance during development and adulthood and in physiology in general. However, little is known about the extent of post-transcriptional control of gene expression in the brain. Most post-transcriptional regulatory effectors (e.g., miRNAs) destabilize target mRNAs by shortening their polyA tails. Hence, the fraction of a given mRNA that it is fully polyadenylated should correlate with its stability and serves as a good measure of post-transcriptional control. Here, we compared RNA-seq datasets from fly brains that were generated either from total (rRNA-depleted) or polyA-selected RNA. By doing this comparison we were able to compute a coefficient that measures the extent of post-transcriptional control for each brain-expressed mRNA. In agreement with current knowledge, we found that mRNAs encoding ribosomal proteins, metabolic enzymes, and housekeeping genes are among the transcripts with least post-transcriptional control, whereas mRNAs that are known to be highly unstable, like circadian mRNAs and mRNAs expressing synaptic proteins and proteins with neuronal functions, are under strong post-transcriptional control. Surprisingly, the latter group included many specific groups of genes relevant to brain function and behavior. In order to determine the importance of miRNAs in this regulation, we profiled miRNAs from fly brains using oligonucleotide microarrays. Surprisingly, we did not find a strong correlation between the expression levels of miRNAs in the brain and the stability of their target mRNAs; however, genes identified as highly regulated post-transcriptionally were strongly enriched for miRNA targets. This demonstrates a central role of miRNAs for modulating the levels and turnover of brain-specific mRNAs in the fly.

Indexed as

brainDrosophila melanogastermiRNApolyA tailpost-transcriptional regulationRNA-sequencing

Identifiers

PMID24367289
PMCPMC3856366

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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.