Evidence map›Paper›PMID 33808611›Full record

ReviewMethods and protocols2021

Compendium of Methods to Uncover RNA-Protein Interactions In Vivo.

Mrinmoyee Majumder, Viswanathan Palanisamy

Open access · goldAbstract readReview
In one paragraph

Review in Methods and protocols, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.3field-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

8 citing papers in PubMed, 5 citations in OpenAlex.

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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

2 authors at 1 institution in 1 country.

Mrinmoyee MajumderDepartment of Biochemistry and Molecular Biology, College of Medicine, Medical University of South Carolina, Charleston, SC 29425, USA.ORCID 0000-0002-4658-9397
Viswanathan PalanisamyDepartment of Biochemistry and Molecular Biology, College of Medicine, Medical University of South Carolina, Charleston, SC 29425, USA.
Medical University of South Carolina · US

Funding

Intersections of RNA-binding proteins and T-cells in oral epithelial plasticityR01DE030013 · NIDCR · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI MEHROTRA, SHIKHAR, PALANISAMY, VISWANATHAN · 2020 to 2024
$2.3M
Targeting of RNA-binding protein FXR1 in HNSCCR21DE032461 · NIDCR · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI PALANISAMY, VISWANATHAN · 2023 to 2023
$419k
NIDCR NIH HHS R01 DE030013NIDCR NIH HHS R21 DE032461NIH HHS R01DE022776 to V.P.
6 · The paper itself

Abstract

Control of gene expression is critical in shaping the pro-and eukaryotic organisms' genotype and phenotype. The gene expression regulatory pathways solely rely on protein-protein and protein-nucleic acid interactions, which determine the fate of the nucleic acids. RNA-protein interactions play a significant role in co- and post-transcriptional regulation to control gene expression. RNA-binding proteins (RBPs) are a diverse group of macromolecules that bind to RNA and play an essential role in RNA biology by regulating pre-mRNA processing, maturation, nuclear transport, stability, and translation. Hence, the studies aimed at investigating RNA-protein interactions are essential to advance our knowledge in gene expression patterns associated with health and disease. Here we discuss the long-established and current technologies that are widely used to study RNA-protein interactions in vivo. We also present the advantages and disadvantages of each method discussed in the review.

Indexed as

gene expression and post-transcriptional gene regulationribonucleoproteinsRNARNA–protein interactions

Identifiers

PMID33808611
PMCPMC8006020
OpenAlexW3137112291

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.