Evidence map›Paper›PMID 28386598›Full record

ArticleACS central science2017

Defining RNA-Small Molecule Affinity Landscapes Enables Design of a Small Molecule Inhibitor of an Oncogenic Noncoding RNA.

Sai Pradeep Velagapudi, Yiling Luo, Tuan Tran, Hafeez S Haniff, Yoshio Nakai, Mohammad Fallahi, Gustavo J Martinez, Jessica L Childs-Disney, Matthew D Disney

Abstract read
In one paragraph

Article in ACS central science, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers.

0numbers the graph read from it
0cells of the map it votes in
57citing 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

57 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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  5. Article
  6. Small-molecule-based targeted therapy in liver cancer.Molecular therapy : the journal of the American Society of Gene Therapy · 2024
    Review
  7. Article
  8. Heterobifunctional small molecules to modulate RNA function.Trends in pharmacological sciences · 2024
    Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Fragment-Based Approaches to Identify RNA Binders.Journal of medicinal chemistry · 2023
    Review
  14. Article
  15. Article
  16. Targeting RNA structures with small molecules.Nature reviews. Drug discovery · 2022
    Review
  17. Article
  18. Article
  19. 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
  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

9 authors.

Sai Pradeep VelagapudiDepartment of Chemistry, Informatics Core, and Genomics Core, The Scripps Research Institute , 130 Scripps Way, Jupiter, Florida 33458, United States.
Yiling LuoDepartment of Chemistry, Informatics Core, and Genomics Core, The Scripps Research Institute , 130 Scripps Way, Jupiter, Florida 33458, United States.
Tuan TranDepartment of Chemistry, Informatics Core, and Genomics Core, The Scripps Research Institute , 130 Scripps Way, Jupiter, Florida 33458, United States.
Hafeez S HaniffDepartment of Chemistry, Informatics Core, and Genomics Core, The Scripps Research Institute , 130 Scripps Way, Jupiter, Florida 33458, United States.
Yoshio NakaiDepartment of Chemistry, Informatics Core, and Genomics Core, The Scripps Research Institute , 130 Scripps Way, Jupiter, Florida 33458, United States.
Mohammad FallahiDepartment of Chemistry, Informatics Core, and Genomics Core, The Scripps Research Institute , 130 Scripps Way, Jupiter, Florida 33458, United States.
Gustavo J MartinezDepartment of Chemistry, Informatics Core, and Genomics Core, The Scripps Research Institute , 130 Scripps Way, Jupiter, Florida 33458, United States.
Jessica L Childs-DisneyDepartment of Chemistry, Informatics Core, and Genomics Core, The Scripps Research Institute , 130 Scripps Way, Jupiter, Florida 33458, United States.
Matthew D DisneyDepartment of Chemistry, Informatics Core, and Genomics Core, The Scripps Research Institute , 130 Scripps Way, Jupiter, Florida 33458, United States.

Funding

Sequence-based Design of Small Molecules Targeting RNAR01GM097455 · NIGMS · SCRIPPS FLORIDA · PI DISNEY, MATTHEW D · 2012 to 2019
$4.6M
NIGMS NIH HHS R01 GM097455
6 · The paper itself

Abstract

RNA drug targets are pervasive in cells, but methods to design small molecules that target them are sparse. Herein, we report a general approach to score the affinity and selectivity of RNA motif-small molecule interactions identified via selection. Named High Throughput Structure-Activity Relationships Through Sequencing (HiT-StARTS), HiT-StARTS is statistical in nature and compares input nucleic acid sequences to selected library members that bind a ligand via high throughput sequencing. The approach allowed facile definition of the fitness landscape of hundreds of thousands of RNA motif-small molecule binding partners. These results were mined against folded RNAs in the human transcriptome and identified an avid interaction between a small molecule and the Dicer nuclease-processing site in the oncogenic microRNA (miR)-18a hairpin precursor, which is a member of the miR-17-92 cluster. Application of the small molecule, Targapremir-18a, to prostate cancer cells inhibited production of miR-18a from the cluster, de-repressed serine/threonine protein kinase 4 protein (STK4), and triggered apoptosis. Profiling the cellular targets of Targapremir-18a via Chemical Cross-Linking and Isolation by Pull Down (Chem-CLIP), a covalent small molecule-RNA cellular profiling approach, and other studies showed specific binding of the compound to the miR-18a precursor, revealing broadly applicable factors that govern small molecule drugging of noncoding RNAs.

Identifiers

PMID28386598
PMCPMC5364451

What OpenQuestion holds

Textmetadata
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.