Evidence map›Paper›PMID 41478981›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2026

Semi-quantitative RT-PCR Assay for the Analysis of Alternative Splicing of Interleukin Genes.

Md Mostafizur Rahman, Willy Munyao, Daisy Rubio, Shangwen Yan, Ariana Badalov, Christopher Beauvil, Nitya Sharma, Amatun Noor Prapty, Matteo Ruggiu

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Functional Characterization ofInternational journal of molecular sciences · 2026
    Article
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.

Md Mostafizur Rahman *Laboratory of RNA Biology and Molecular Neuroscience, Department of Biological Sciences, St. John's University, Queens, NY, USA.
Willy Munyao *Laboratory of RNA Biology and Molecular Neuroscience, Department of Biological Sciences, St. John's University, Queens, NY, USA.
Daisy RubioLaboratory of RNA Biology and Molecular Neuroscience, Department of Biological Sciences, St. John's University, Queens, NY, USA.
Shangwen YanLaboratory of RNA Biology and Molecular Neuroscience, Department of Biological Sciences, St. John's University, Queens, NY, USA.
Ariana BadalovLaboratory of RNA Biology and Molecular Neuroscience, Department of Biological Sciences, St. John's University, Queens, NY, USA.
Christopher BeauvilLaboratory of RNA Biology and Molecular Neuroscience, Department of Biological Sciences, St. John's University, Queens, NY, USA.
Nitya SharmaLaboratory of RNA Biology and Molecular Neuroscience, Department of Biological Sciences, St. John's University, Queens, NY, USA.
Amatun Noor PraptyLaboratory of RNA Biology and Molecular Neuroscience, Department of Biological Sciences, St. John's University, Queens, NY, USA.
Matteo RuggiuLaboratory of RNA Biology and Molecular Neuroscience, Department of Biological Sciences, St. John's University, Queens, NY, USA. ruggium@stjohns.edu.

Funding

Alternative Splicing Modulates the Activity of CaV3.1. an Ion Channel Gene Involved in Spinocerebellar Ataxia, Epilepsy, and Autism Spectrum DisordersR15GM148923 · NIGMS · ST. JOHN'S UNIVERSITY · PI RUGGIU, MATTEO · 2022 to 2024
$680k
NIGMS NIH HHS R15 GM148923
6 · The paper itself

Abstract

Alternative splicing is a crucial post-transcriptional regulatory mechanism that generates multiple protein isoforms from a single gene, substantially increasing the coding capacity and proteome diversity of a genome. This process is particularly critical in regulating the activity of interleukin genes, where alternative splicing contributes to the functional diversity of these important immune system molecules and affects their production, function, and receptor interactions. While numerous studies have established the connection between aberrant alternative splicing and various diseases, including cancers and autoimmune disorders, the function and regulation of many splice variants remain poorly understood. Here, we describe a cost-effective and reliable method for analyzing alternative splicing patterns in interleukin genes using semi-quantitative RT-PCR and densitometry analysis. This method enables the simultaneous identification and quantification of multiple splice variants in a single PCR reaction, offering advantages over real-time RT-PCR approaches that require specific primer sets for each variant. This protocol involves RNA extraction from tissue culture cell lines or tissue samples, reverse transcription, RT-PCR, and subsequent analysis using freely available software for densitometry. We demonstrate the utility of this approach through two distinct examples with different alternative splicing patterns. While less sensitive than real-time RT-PCR or radioactive methods, this technique provides a robust, accessible, and widely accepted approach for investigating alternative splicing patterns in interleukin genes, contributing to our understanding of cytokine biology and its role in health and disease.

Indexed as

Alternative SplicingInterleukinsReal-Time Polymerase Chain ReactionReverse Transcriptase Polymerase Chain ReactionHumansProtein IsoformsInterleukinsProtein IsoformsAlternative splicingCytokinesDensitometryGene expressionGene regulationInterleukinsQuantificationRT-PCRSplice variant

Identifiers

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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.