Subtopic Deep Dive
N1-Methyladenosine in tRNA and rRNA
Research Guide
What is N1-Methyladenosine in tRNA and rRNA?
N1-methyladenosine (m1A) is a RNA modification on tRNA wobble positions and rRNA catalyzed by DKC1 and TRMT61B that ensures translation fidelity and ribosome biogenesis.
m1A hypomodification links to ribosomal frameshifting in cancer cells. Dysregulation promotes proteotoxic stress and immune evasion via altered translation. Over 10 papers since 2020 explore m1A in epitranscriptomics and tumors (Pan et al., 2021; Qiu et al., 2023).
Why It Matters
m1A in tRNA and rRNA affects translation accuracy, with hypomodification driving frameshifting that alters proteome in cancers (Shi et al., 2020). This contributes to tumor immune evasion and proteotoxic stress, as seen in lung squamous cell carcinoma where m1A regulators predict prognosis and immune microenvironment (Pan et al., 2021). Therapeutic targeting of m1A enzymes like DKC1 offers potential for restoring translation fidelity in gastrointestinal cancers (Xie et al., 2020).
Key Research Challenges
Detecting m1A modifications
Low-abundance m1A in tRNA and rRNA requires sensitive detection beyond standard sequencing. Methods like mass spectrometry face challenges in cancer samples with heterogeneous modification levels (Kumar and Mohapatra, 2021). Antibody-based approaches lack specificity for epitranscriptomic mapping.
Linking m1A to translation errors
Hypomodification causes ribosomal frameshifting, but causal mechanisms in tumors remain unclear. Functional studies need precise editing of DKC1/TRMT61B in cancer models (Shi et al., 2020). Quantifying proteome shifts from m1A loss is technically demanding.
Therapeutic targeting of writers
Inhibiting DKC1 or TRMT61B risks disrupting normal ribosome biogenesis. FTO-independent regulation complicates drug design for cancer-specific m1A (Qiu et al., 2023). Clinical translation lacks biomarkers for m1A dysregulation.
Essential Papers
RNA modifications: importance in immune cell biology and related diseases
Lian Cui, Rui Ma, Jiangluyi Cai et al. · 2022 · Signal Transduction and Targeted Therapy · 344 citations
Epigenetic regulation in the tumor microenvironment: molecular mechanisms and therapeutic targets
Jing Yang, Jin Xu, Wei Wang et al. · 2023 · Signal Transduction and Targeted Therapy · 286 citations
New insights into the interplay between long non‐coding RNAs and RNA‐binding proteins in cancer
Ziting Yao, Yuan‐Han Yang, Miaomiao Sun et al. · 2022 · Cancer Communications · 274 citations
Abstract With the development of proteomics and epigenetics, a large number of RNA‐binding proteins (RBPs) have been discovered in recent years, and the interaction between long non‐coding RNAs (ln...
Novel insight into the regulatory roles of diverse RNA modifications: Re-defining the bridge between transcription and translation
Hanhan Shi, Peiwei Chai, Renbing Jia et al. · 2020 · Molecular Cancer · 246 citations
Abstract RNA modifications can be added or removed by a variety of enzymes that catalyse the necessary reactions, and these modifications play roles in essential molecular mechanisms. The prevalent...
The role of RNA m<sup>5</sup>C modification in cancer metastasis
Qiaofeng Zhang, Furong Liu, Wei Chen et al. · 2021 · International Journal of Biological Sciences · 157 citations
Epigenetic modification plays a crucial regulatory role in the biological processes of eukaryotic cells. The recent characterization of DNA and RNA methylation is still ongoing. Tumor metastasis ha...
Emerging roles of RNA methylation in gastrointestinal cancers
Shanshan Xie, Wenwen Chen, Kang‐Hua Chen et al. · 2020 · Cancer Cell International · 150 citations
Abstract RNA methylation has emerged as a fundamental process in epigenetic regulation. Accumulating evidences indicate that RNA methylation is essential for many biological functions, and its dysr...
Deciphering Epitranscriptome: Modification of mRNA Bases Provides a New Perspective for Post-transcriptional Regulation of Gene Expression
Suresh Kumar, Trilochan Mohapatra · 2021 · Frontiers in Cell and Developmental Biology · 139 citations
Gene regulation depends on dynamic and reversibly modifiable biological and chemical information in the epigenome/epitranscriptome. Accumulating evidence suggests that messenger RNAs (mRNAs) are ge...
Reading Guide
Foundational Papers
No pre-2015 foundational papers available; start with Shi et al. (2020, 246 citations) for core m1A mechanisms in translation.
Recent Advances
Pan et al. (2021, 132 citations) on prognosis predictors; Qiu et al. (2023, 130 citations) on therapeutic targets; Yang et al. (2023, 286 citations) on tumor microenvironment.
Core Methods
DKC1/TRMT61B catalyze m1A; detection via mass spec or sequencing; functional assays test frameshifting in cancer cell lines.
How PapersFlow Helps You Research N1-Methyladenosine in tRNA and rRNA
Discover & Search
Research Agent uses searchPapers and exaSearch to find m1A-cancer links, pulling Pan et al. (2021) on m1A regulators in lung squamous cell carcinoma. citationGraph reveals connections to Xie et al. (2020) on gastrointestinal cancers, while findSimilarPapers expands to related epitranscriptomic papers.
Analyze & Verify
Analysis Agent applies readPaperContent to extract m1A enzyme data from Qiu et al. (2023), then verifyResponse with CoVe checks claims against 250M+ OpenAlex papers. runPythonAnalysis with pandas quantifies citation trends or modification frequencies; GRADE scores evidence strength for translation fidelity claims.
Synthesize & Write
Synthesis Agent detects gaps in m1A-frameshifting therapeutics, flagging contradictions between Pan et al. (2021) and Shi et al. (2020). Writing Agent uses latexEditText and latexSyncCitations to draft reviews, latexCompile for figures, and exportMermaid for enzyme-regulation diagrams.
Use Cases
"Analyze m1A modification levels across lung cancer datasets from papers"
Research Agent → searchPapers → Analysis Agent → runPythonAnalysis (pandas on extracted data) → statistical output of hypomodification correlations with survival.
"Write LaTeX review on m1A in tRNA wobble positions and cancer translation"
Synthesis Agent → gap detection → Writing Agent → latexEditText → latexSyncCitations (Pan et al., 2021) → latexCompile → polished PDF manuscript.
"Find code for m1A sequencing analysis in cancer epitranscriptomics papers"
Research Agent → paperExtractUrls → Code Discovery → paperFindGithubRepo → githubRepoInspect → runnable pipelines for tRNA modification quantification.
Automated Workflows
Deep Research workflow scans 50+ papers on m1A via searchPapers → citationGraph → structured report on cancer links (Pan et al., 2021). DeepScan applies 7-step CoVe analysis to verify m1A frameshifting claims from Shi et al. (2020). Theorizer generates hypotheses on DKC1 inhibitors from literature synthesis.
Frequently Asked Questions
What is N1-methyladenosine (m1A) in tRNA and rRNA?
m1A is a methyl group on adenine N1 position in tRNA wobble bases and rRNA, installed by DKC1/TRMT61B for translation fidelity and ribosome assembly.
What methods detect m1A modifications?
Mass spectrometry and antibody-based sequencing map m1A, though sensitivity limits apply in low-abundance tRNA/rRNA from tumors (Kumar and Mohapatra, 2021).
What are key papers on m1A in cancer?
Pan et al. (2021) links m1A regulators to lung cancer prognosis; Qiu et al. (2023) covers mechanisms; Shi et al. (2020) details translation roles (132, 130, 246 citations).
What open problems exist in m1A-cancer research?
Challenges include causal proof of frameshifting in tumors, specific inhibitors for writers, and biomarkers for clinical m1A dysregulation.
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Part of the RNA modifications and cancer Research Guide