Evidence map›Paper›PMID 23423353›Full record

ArticleNucleic acids research2013

Translational repression of thymidylate synthase by targeting its mRNA.

Divita Garg, Alexander V Beribisky, Glauco Ponterini, Alessio Ligabue, Gaetano Marverti, Andrea Martello, M Paola Costi, Michael Sattler, Rebecca C Wade

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2013. 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
0.6field-weighted citation impact, top 31% 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, 9 citations in OpenAlex.

  1. Detection of Genomic Uracil Patterns.International journal of molecular sciences · 2021
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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 at 4 institutions in 2 countries.

Divita GargMolecular and Cellular Modeling Group, Heidelberg Institute for Theoretical Studies (HITS), Schloss-Wolfsbrunnenweg 35, 69118 Heidelberg, Germany. Divita.Garg@tum.de
Alexander V Beribisky
Glauco Ponterini
Alessio Ligabue
Gaetano Marverti
Andrea Martello
M Paola Costi
Michael Sattler
Rebecca C Wade
University of Modena and Reggio Emilia · ITHelmholtz Zentrum München · DEHeidelberg Institute for Theoretical Studies · DEHeidelberg University · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Resistance to drugs targeting human thymidylate synthase (TS) poses a major challenge in the field of anti-cancer therapeutics. Overexpression of the TS protein has been implicated as one of the factors leading to the development of resistance. Therefore, repressing translation by targeting the TS mRNA could help to overcome this problem. In this study, we report that the compound Hoechst 33258 (HT) can reduce cellular TS protein levels without altering TS mRNA levels, suggesting that it modulates TS expression at the translation level. We have combined nuclear magnetic resonance, UV-visible and fluorescence spectroscopy methods with docking and molecular dynamics simulations to study the interaction of HT with a region in the TS mRNA. The interaction predominantly involves intercalation of HT at a CC mismatch in the region near the translational initiation site. Our results support the use of HT-like compounds to guide the design of therapeutic agents targeting TS mRNA.

Indexed as

Antineoplastic AgentsBase Pair MismatchBinding SitesBisbenzimidazoleCell Line, TumorGene Expression RegulationHumansIntercalating AgentsModels, MolecularProtein BiosynthesisRNA, MessengerThymidylate SynthaseAntineoplastic AgentsBisbenzimidazoleIntercalating AgentsRNA, MessengerThymidylate Synthase

Identifiers

PMID23423353
PMCPMC3627590
OpenAlexW2098281432

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.