Evidence map›Paper›PMID 25605965›Full record

ArticleRNA (New York, N.Y.)2015

A deeply conserved, noncanonical miRNA hosted by ribosomal DNA.

Li-Ling Chak, Jaaved Mohammed, Eric C Lai, Greg Tucker-Kellogg, Katsutomo Okamura

Abstract read
In one paragraph

Article in RNA (New York, N.Y.), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 1 pooled it
–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

31 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
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  5. Article
  6. Review
  7. Article
  8. Review
  9. Article
  10. Review
  11. Fourth Report on Chicken Genes and Chromosomes 2022.Cytogenetic and genome research · 2022
    Review
  12. Review
  13. Review
  14. Article
  15. Review
  16. Three Ribosomal Operons ofFrontiers in microbiology · 2021
    Article
  17. Article
  18. Article
  19. 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

5 authors.

Li-Ling ChakTemasek Life Sciences Laboratory, National University of Singapore, Singapore 117604, Singapore.
Jaaved MohammedDepartment of Biological Statistics and Computational Biology, Cornell University, Ithaca, New York 14853, USA Tri-Institutional Training Program in Computational Biology and Medicine, New York, New York 10065, USA Sloan-Kettering Institute, Department of Developmental Biology, New York, New York 10065, USA.
Eric C LaiSloan-Kettering Institute, Department of Developmental Biology, New York, New York 10065, USA.
Greg Tucker-KelloggDepartment of Biological Sciences, Faculty of Science, National University of Singapore, Singapore 117543, Singapore Department of Physiology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117597, Singapore.
Katsutomo OkamuraTemasek Life Sciences Laboratory, National University of Singapore, Singapore 117604, Singapore School of Biological Sciences, Nanyang Technological University, Singapore 639798, Singapore okamurak@tll.org.sg.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
Selective regulatory and biogenesis mechanisms for microRNAsR01GM083300 · NIGMS · SLOAN-KETTERING INST CAN RESEARCH · PI Eric C Lai · 2007 to 2026
$9.8M
Tri-Institutional Training Program in Computational Biology & MedicineT32GM083937 · NIGMS · WEILL MEDICAL COLL OF CORNELL UNIV · PI CHRISTINI, DAVID J. · 2009 to 2018
$3.1M
NCI NIH HHS P30 CA008748NIGMS NIH HHS R01 GM083300NIGMS NIH HHS R01-GM083300NIGMS NIH HHS T32 GM083937
6 · The paper itself

Abstract

Advances in small RNA sequencing technologies and comparative genomics have fueled comprehensive microRNA (miRNA) gene annotations in humans and model organisms. Although new miRNAs continue to be discovered in recent years, these have universally been lowly expressed, recently evolved, and of debatable endogenous activity, leading to the general assumption that virtually all biologically important miRNAs have been identified. Here, we analyzed small RNAs that emanate from the highly repetitive rDNA arrays of Drosophila. In addition to endo-siRNAs derived from sense and antisense strands of the pre-rRNA sequence, we unexpectedly identified a novel, deeply conserved, noncanonical miRNA. Although this miRNA is widely expressed, this miRNA was not identified by previous studies due to bioinformatics filters removing such repetitive sequences. Deep-sequencing data provide clear evidence for specific processing with precisely defined 5' and 3' ends. Furthermore, we demonstrate that the mature miRNA species is incorporated in the effector complexes and has detectable trans regulatory activity. Processing of this miRNA requires Dicer-1, whereas the Drosha-Pasha complex is dispensable. The miRNA hairpin sequence is located in the internal transcribed spacer 1 region of rDNA and is highly conserved among Dipteran species that were separated from their common ancestor ∼ 100 million years ago. Our results suggest that biologically active miRNA genes may remain unidentified even in well-studied organisms.

Indexed as

Nucleic Acid ConformationAnimalsConserved SequenceDNA, RibosomalDrosophilaDrosophila ProteinsHigh-Throughput Nucleotide SequencingHumansMicroRNAsRibonuclease IIIRNA-Binding ProteinsRNA HelicasesRNA, Small InterferingSequence Analysis, RNADcr-1 protein, DrosophilaDNA, Ribosomaldrosha protein, DrosophilaDrosophila ProteinsMicroRNAsPasha protein, DrosophilaRibonuclease IIIRNA-Binding ProteinsRNA HelicasesRNA, Small InterferingmiRNAnoncanonical miRNA processingrepetitive sequenceribosomal RNA

Identifiers

PMID25605965
PMCPMC4338334

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.