Evidence map›Paper›PMID 41996289›Full record

ArticleAnalytical chemistry2026

Characterizations of G-Quadruplex RNA-Protein Interactions in Living Cells.

Feng Tang, Xiaochen Liang, Douglas F Porter, Weili Miao, Kevin Maehlmann, Jun Yuan, Paul A Khavari, Yinsheng Wang

Abstract read
In one paragraph

Article in Analytical chemistry, 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. Review
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

8 authors.

Feng TangDepartment of Chemistry, University of California, Riverside, California 92521, United States.ORCID 0000-0001-9748-3712
Xiaochen LiangDepartment of Chemistry, University of California, Riverside, California 92521, United States.
Douglas F PorterProgram in Epithelial Biology, Stanford University School of Medicine, Stanford, California 94305, United States.
Weili MiaoProgram in Epithelial Biology, Stanford University School of Medicine, Stanford, California 94305, United States.
Kevin MaehlmannDepartment of Chemistry, University of Florida, Gainesville, Florida 32607, United States.
Jun YuanDepartment of Chemistry, University of California, Riverside, California 92521, United States.
Paul A KhavariProgram in Epithelial Biology, Stanford University School of Medicine, Stanford, California 94305, United States.
Yinsheng WangDepartment of Chemistry, University of California, Riverside, California 92521, United States.ORCID 0000-0001-5565-283X

Funding

Chemical Biology of DNA and RNA AlkylationR35ES031707 · NIEHS · UNIVERSITY OF CALIFORNIA RIVERSIDE · PI Yinsheng Wang · 2020 to 2026
$6.1M
DNA-Protein Cross-Linking Sequencing for Genome-Wide Mapping of Abasic Sites at Single-Nucleotide ResolutionR00ES035446 · NIEHS · UNIVERSITY OF FLORIDA · PI Feng Tang · 2025 to 2026
$492k
NIEHS NIH HHS R00 ES035446NIEHS NIH HHS R35 ES031707
6 · The paper itself

Abstract

RNA guanine quadruplexes (rG4s) are noncanonical nucleic acid structures that contribute to diverse cellular functions and disease mechanisms. Defining the proteins that interact with rG4s (rG4IPs) is essential for elucidating their biological roles. Here, we build on the RNA-protein interaction detection (RaPID) platform to develop G4-RaPID, a tailored chemoproteomic strategy for the unbiased profiling of rG4IPs in living cells. Using G4-RaPID, we identified 105 candidate rG4IPs that were commonly enriched across three distinct rG4 sequences. Biochemical analyses confirmed that recombinant hnRNPA0, CHD4, and IGF2BP1 proteins directly bind rG4 structures

Indexed as

DNA HelicasesG-QuadruplexesRNARNA-Binding ProteinsHumansProtein BindingDNA HelicasesIGF2BP1 protein, humanRNARNA-Binding Proteins

Identifiers

PMID41996289
PMCPMC13198739

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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.