Evidence map›Paper›PMID 42911499›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2027

Lentiviral RNAi for Depletion of Enhancer RNAs in Primary Neurons.

Hyohi Lee, Jiin Moon, Seung-Kyoon Kim

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Article in Methods in molecular biology (Clifton, N.J.), 2027. 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

3 authors.

Hyohi LeeDepartment of Convergent Bioscience and Informatics, and Graduate School of Biological Sciences, Chungnam National University, Daejeon, 34134, Republic of Korea.
Jiin MoonDepartment of Convergent Bioscience and Informatics, and Graduate School of Biological Sciences, Chungnam National University, Daejeon, 34134, Republic of Korea.
Seung-Kyoon KimDepartment of Convergent Bioscience and Informatics, and Graduate School of Biological Sciences, Chungnam National University, Daejeon, 34134, Republic of Korea. sk.kim@cnu.ac.kr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Enhancer RNAs (eRNAs) are non-polyadenylated long noncoding RNAs (lncRNAs) transcribed from active enhancer regions and are increasingly recognized as key regulators of cell-type-specific gene expression. Noncoding RNAs exist in multiple forms and contribute to both transcriptional and posttranscriptional processes. Understanding their biological functions often requires selective depletion of individual RNA molecules. However, unlike protein-coding transcripts, eRNAs lack stable 3' ends, which complicates the use of conventional RNA interference (RNAi) approaches. These challenges are even more prominent in nondividing primary neurons, where transfection efficiency is inherently low. To address these limitations, this protocol outlines a lentiviral short hairpin RNAs (shRNAs)-based method for the efficient and specific depletion of eRNAs in primary cortical neurons. Step-by-step procedures are included for selecting shRNA target regions using nascent RNA sequencing data, generating shRNA-expressing lentiviruses, infecting primary neurons, and evaluating knockdown efficiency by RT-qPCR. This workflow offers a practical strategy for investigating eRNA function in postmitotic neurons and can be readily adapted to study enhancer-mediated transcriptional regulation in other nondividing cell types.

Indexed as

Enhancer RNAsLentivirusNeuronsRNA InterferenceAnimalsCells, CulturedEnhancer Elements, GeneticGene Knockdown TechniquesGenetic VectorsRNA, Small InterferingEnhancer RNAsRNA, Small InterferingEnhancer RNAs (eRNAs)LentivirusPrimary cortical neuronsRNA interference (RNAi)Short hairpin RNAs (shRNAs)

Identifiers

PMID42911499

What OpenQuestion holds

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Registered trials

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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.