Evidence map›Paper›PMID 34898169›Full record

ArticleACS chemical biology2022

Bioinformatic Searching for Optimal RNA Targets of Dimeric Compounds Informs Design of a MicroRNA-27a Inhibitor.

Raphael I Benhamou, Shruti Choudhary, Elizabeth Lekah, Yuquan Tong, Matthew D Disney

Open access · greenAbstract read
In one paragraph

Article in ACS chemical biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.4field-weighted citation impact, top 45% 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

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Review
  5. Review
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 at 1 institution in 1 country.

Raphael I BenhamouDepartment of Chemistry, The Scripps Research Institute, Jupiter, Florida 33458, United States.
Shruti ChoudharyDepartment of Chemistry, The Scripps Research Institute, Jupiter, Florida 33458, United States.
Elizabeth LekahDepartment of Chemistry, The Scripps Research Institute, Jupiter, Florida 33458, United States.
Yuquan TongDepartment of Chemistry, The Scripps Research Institute, Jupiter, Florida 33458, United States.
Matthew D DisneyDepartment of Chemistry, The Scripps Research Institute, Jupiter, Florida 33458, United States.ORCID 0000-0001-8486-1796
Scripps Research Institute · US

Funding

Targeted degradation of RNAs by using small moleculesR01CA249180 · NCI · UNIVERSITY OF FLORIDA · PI Matthew D Disney · 2020 to 2026
$4.8M
Bruker Avance III HD 600 MHz NMR spectrometerS10OD021550 · OD · SCRIPPS FLORIDA · PI KOJETIN, DOUGLAS · 2017 to 2017
$600k
NCI NIH HHS R01 CA249180NIH HHS S10 OD021550
6 · The paper itself

Abstract

Various studies have shown that selective molecular recognition of RNA targets by small molecules in cells, although challenging, is indeed possible. One facile strategy to enhance selectivity and potency is binding two or more sites within an RNA simultaneously with a single molecule. To simplify the identification of targets amenable to such a strategy, we informatically mined all human microRNA (miRNA) precursors to identify those with two proximal noncanonically paired sites. We selected oncogenic microRNA-27a (miR-27a) for further study as a lead molecule binds its Drosha site and a nearby internal loop, affording a homodimer that potently and specifically inhibits miR-27a processing in both breast cancer and prostate cancer cells. This reduction of mature miR-27a ameliorates an oncogenic cellular phenotype with nanomolar activity. Collectively, these studies demonstrate that synergistic bioinformatic and experimental approaches can define targets that may be more amenable to small molecule targeting than others.

Indexed as

Computational BiologyAntineoplastic AgentsBreast NeoplasmsCell Line, TumorDrug Delivery SystemsFemaleHumansMaleMicroRNAsProstatic NeoplasmsAntineoplastic AgentsMicroRNAsMIRN27 microRNA, human

Identifiers

PMID34898169
PMCPMC9594105
OpenAlexW4200237455

What OpenQuestion holds

Textmetadata
LicenceTDM
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.