Evidence map›Paper›PMID 26926764›Full record

ArticleGenome biology and evolution2016

Changes in snoRNA and snRNA Abundance in the Human, Chimpanzee, Macaque, and Mouse Brain.

Bin Zhang, Dingding Han, Yuriy Korostelev, Zheng Yan, Ningyi Shao, Ekaterina Khrameeva, Boris M Velichkovsky, Yi-Ping Phoebe Chen, Mikhail S Gelfand, Philipp Khaitovich

Open access · goldAbstract read
In one paragraph

Article in Genome biology and evolution, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
0.5field-weighted citation impact, top 29% 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

13 citing papers in PubMed, 18 citations in OpenAlex.

  1. Review
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  10. RNA and Oxidative Stress in Alzheimer's Disease: Focus on microRNAs.Oxidative medicine and cellular longevity · 2020
    Review
  11. Article
  12. Comparative transcriptomics in human and mouse.Nature reviews. Genetics · 2017
    Review
  13. Short intron-derived ncRNAs.Nucleic acids research · 2017
    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

10 authors at 7 institutions in 4 countries.

Bin ZhangCAS Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai, China Graduate School of Chinese Academy of Sciences, Beijing, China.
Dingding HanCAS Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai, China.
Yuriy KorostelevDepartment of Bioengineering and Bioinformatics, Moscow State University, Moscow, Russia.
Zheng YanCAS Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai, China Department of Computer Science and Computer Engineering, La Trobe University, Melbourne, VIC, Australia.
Ningyi ShaoCAS Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai, China.
Ekaterina KhrameevaSkolkovo Institute for Science and Technology, Skolkovo, Russia.
Boris M VelichkovskyDepartment of Neuroscience, National Research Center "Kurchatov Institute", Moscow, Russia.
Yi-Ping Phoebe ChenDepartment of Computer Science and Computer Engineering, La Trobe University, Melbourne, VIC, Australia.
Mikhail S GelfandDepartment of Bioengineering and Bioinformatics, Moscow State University, Moscow, Russia Institute for Information Transmission Problems, RAS, Moscow, Russia mikhail.gelfand@gmail.com khaitovich@eva.mpg.de.
Philipp KhaitovichCAS Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai, China Skolkovo Institute for Science and Technology, Skolkovo, Russia Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany School of Life Science and Technology, ShanghaiTech University, Shanghai, China mikhail.gelfand@gmail.com khaitovich@eva.mpg.de.
Center for Excellence in Molecular Cell Science · CNLa Trobe University · AUInstitute for Information Transmission Problems · RUKurchatov Institute · RULomonosov Moscow State University · RUMax Planck Institute for Evolutionary Anthropology · DESkolkovo Institute of Science and Technology · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Small nuclear and nucleolar RNAs (snRNAs and snoRNAs) are known to be functionally and evolutionarily conserved elements of transcript processing machinery. Here, we investigated the expression evolution of snRNAs and snoRNAs by measuring their abundance in the frontal cortex of humans, chimpanzees, rhesus monkeys, and mice. Although snRNA expression is largely conserved, 44% of the 185 measured snoRNA and 40% of the 134 snoRNA families showed significant expression divergence among species. The snRNA and snoRNA expression divergence included drastic changes unique to humans: A 10-fold elevated expression ofU1snRNA and a 1,000-fold drop in expression ofSNORA29 The decreased expression ofSNORA29might be due to two mutations that affect secondary structure stability. Using in situ hybridization, we further localizedSNORA29expression to nucleolar regions of neuronal cells. Our study presents the first observation of snoRNA abundance changes specific to the human lineage and suggests a possible mechanism underlying these changes.

Indexed as

Evolution, MolecularGenetic VariationPhylogenyAnimalsBrainGene Expression RegulationHumansMacacaMiceMutationPan troglodytesProtein Structure, SecondaryRNA, Small NucleolarRNA, Small NucleolarbrainevolutionhumansnoRNAsnRNA

Identifiers

PMID26926764
PMCPMC4824147
OpenAlexW2294553503

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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.