Evidence map›Paper›PMID 41846980›Full record

ArticlebioRxiv : the preprint server for biology2026

Reprogramming mRNA localization by targeted RNA-protein interference.

Devon E Mason, Diptankar Bandyopadhyay, Neal Jiwnani, Brigitte Meyer, Stavroula Mili

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Devon E MasonLaboratory of Cellular and Molecular Biology, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, MD, USA.
Diptankar BandyopadhyayLaboratory of Cellular and Molecular Biology, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, MD, USA.
Neal JiwnaniLaboratory of Cellular and Molecular Biology, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, MD, USA.
Brigitte MeyerLaboratory of Cellular and Molecular Biology, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, MD, USA.
Stavroula MiliLaboratory of Cellular and Molecular Biology, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, MD, USA.ORCID 0000-0002-9161-8660

Funding

Regulation and functional effects of localized RNAsZIABC011501 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI MILI, STAVROULA · 2013 to 2025
$16.3M
Intramural NIH HHS ZIA BC011501
6 · The paper itself

Abstract

RNA binding proteins (RBPs) associate with RNAs in intricate ribonucleoprotein complexes and regulate various aspects of RNA life cycle and, by extension, cell functions. Despite their significance, elucidating the functional contributions of specific RNA-RBP binding events, particularly in long-term phenotypic assays, remains challenging. Here, we harness the specificity of CRISPR/dCas13 to interfere with specific RNA-RBP interactions. We apply this methodology to GA-rich mRNA localization elements which recruit the RNA-binding protein CNBP and serve as platforms for the assembly of mRNA trafficking complexes. We show that dCas13/gRNA binds to target transcripts in a highly specific manner and sterically interferes with CNBP recruitment leading to altered target mRNA localization and cell motility, consistent with the function of the targeted mRNAs. The effectiveness of dCas13/gRNA as a functional interference tool is curtailed by the strength of target mRNA binding as well as by the amount of cytoplasmic gRNA. We describe optimizations and considerations for the stable implementation of this system, to allow the investigation of long-term functional consequences of altered mRNA distributions.

Identifiers

PMID41846980
PMCPMC12991119

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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.