Evidence map›Paper›PMID 26928172›Full record

ArticleBMC bioinformatics2016

Analysis of secondary structural elements in human microRNA hairpin precursors.

Biao Liu, Jessica L Childs-Disney, Brent M Znosko, Dan Wang, Mohammad Fallahi, Steven M Gallo, Matthew D Disney

Open access · goldAbstract read
In one paragraph

Article in BMC bioinformatics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
2.2field-weighted citation impact, top 14% 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

31 citing papers in PubMed, 45 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Small Molecules Targeting Viral RNA.International journal of molecular sciences · 2023
    Review
  7. Review
  8. Article
  9. DNA-encoded library versus RNA-encoded library selection enables design of an oncogenic noncoding RNA inhibitor.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  10. Article
  11. RNA-Binding Macrocyclic Peptides.Frontiers in molecular biosciences · 2022
    Review
  12. Article
  13. Review
  14. Review
  15. How We Think about Targeting RNA with Small Molecules.Journal of medicinal chemistry · 2020
    Article
  16. Review
  17. Article
  18. Translation of the intrinsically disordered protein α-synuclein is inhibited by a small molecule targeting its structured mRNA.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  19. Review
  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

7 authors at 3 institutions in 1 country.

Biao LiuDepartment of Chemistry, Scripps Florida, The Scripps Research Institute, 130 Scripps Way 3A1, Jupiter, FL, 33458, USA. biaoliu19@gmail.com.
Jessica L Childs-DisneyDepartment of Chemistry, Scripps Florida, The Scripps Research Institute, 130 Scripps Way 3A1, Jupiter, FL, 33458, USA. jdisney@scripps.edu.
Brent M ZnoskoDepartment of Chemistry, Saint Louis University, 3501 Laclede Ave, St. Louis, MO, 63103, USA. znoskob@slu.edu.
Dan WangDepartment of Biostatistics, Roswell Park Cancer Institute, 701 Ellicott St, Buffalo, NY, 14203, USA. Dan.Wang@Roswellpark.org.
Mohammad FallahiInformatics Core, The Scripps Research Institute, 130 Scripps Way 2B2, Jupiter, FL, 33458, USA. mfallahi@scripps.edu.
Steven M GalloNYS Center of Excellence in Bioinformatics and Life Sciences, 701 Ellicott St, Buffalo, NY, 14203, USA. smgallo@buffalo.edu.
Matthew D DisneyDepartment of Chemistry, Scripps Florida, The Scripps Research Institute, 130 Scripps Way 3A1, Jupiter, FL, 33458, USA. Disney@scripps.edu.
Scripps Research Institute · USRoswell Park Comprehensive Cancer Center · USSaint Louis University · US

Funding

Two-Spirit Films in Indigenous Cancer HealthP30CA016056 · NCI · ROSWELL PARK CANCER INSTITUTE CORP · PI MARK G FRATTINI · 1985 to 2026
$116.6M
Sequence-based Design of Small Molecules Targeting RNAR01GM097455 · NIGMS · SCRIPPS FLORIDA · PI DISNEY, MATTHEW D · 2012 to 2019
$4.6M
Understanding the Thermodynamics and Structure of RNA Secondary Structure MotifsR15GM085699 · NIGMS · SAINT LOUIS UNIVERSITY · PI ZNOSKO, BRENT · 2009 to 2025
$2.0M
NCI NIH HHS P30 CA016056NIGMS NIH HHS R01 GM097455NIGMS NIH HHS R01-GM097455NIGMS NIH HHS R15 GM085699NIGMS NIH HHS R15-GM085699
6 · The paper itself

Abstract

backgroundMicroRNAs (miRNAs) regulate gene expression by targeting complementary mRNAs for destruction or translational repression. Aberrant expression of miRNAs has been associated with various diseases including cancer, thus making them interesting therapeutic targets. The composite of secondary structural elements that comprise miRNAs could aid the design of small molecules that modulate their function.

resultsWe analyzed the secondary structural elements, or motifs, present in all human miRNA hairpin precursors and compared them to highly expressed human RNAs with known structures and other RNAs from various organisms. Amongst human miRNAs, there are 3808 are unique motifs, many residing in processing sites. Further, we identified motifs in miRNAs that are not present in other highly expressed human RNAs, desirable targets for small molecules. MiRNA motifs were incorporated into a searchable database that is freely available. We also analyzed the most frequently occurring bulges and internal loops for each RNA class and found that the smallest loops possible prevail. However, the distribution of loops and the preferred closing base pairs were unique to each class.

conclusionsCollectively, we have completed a broad survey of motifs found in human miRNA precursors, highly expressed human RNAs, and RNAs from other organisms. Interestingly, unique motifs were identified in human miRNA processing sites, binding to which could inhibit miRNA maturation and hence function.

Indexed as

Gene Expression RegulationHumansMicroRNAsNucleic Acid ConformationNucleotide MotifsRNA PrecursorsMicroRNAsRNA Precursors

Identifiers

PMID26928172
PMCPMC4772329
OpenAlexW2290454071

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.