Subtopic Deep Dive
Pseudouridine Synthases in Cancer
Research Guide
What is Pseudouridine Synthases in Cancer?
Pseudouridine synthases are enzymes such as DKC1, PUS1, and PUS7 that catalyze pseudouridine (ψ) formation in RNA, promoting cancer progression through enhanced ribosome biogenesis and immune evasion.
DKC1 amplification drives ribosome biogenesis in cancers by stabilizing pre-rRNA processing (Henras et al., 2014; 583 citations). Ψ modifications on tumor-derived RNAs evade immune detection in extracellular vesicles (Nombela et al., 2021; 499 citations). Recent mapping methods like BID-seq quantify ψ sites in mRNA at base resolution (Dai et al., 2022; 219 citations).
Why It Matters
Ψ modifications by DKC1 enhance ribosome biogenesis, linking to cancer proliferation as shown in dyskerin overexpression studies (Montanaro et al., 2010; 104 citations). They promote therapy resistance via p53 destabilization during chemotherapy (Burger and Eick, 2013; 32 citations). Targeting pseudouridine synthases offers immunotherapy opportunities by blocking immune evasion in tumor microenvironments (Nombela et al., 2021; Yang et al., 2023; 286 citations).
Key Research Challenges
Mapping ψ sites accurately
Quantitative detection of pseudouridine in mRNA remains challenging due to low abundance and lack of base-resolution methods before BID-seq (Dai et al., 2022; 219 citations). Current techniques struggle with distinguishing ψ from uridine in diverse RNA classes (Borchardt et al., 2020; 230 citations).
Linking PUS to oncogenesis
Dyskerin (DKC1) inactivation affects p53 translation, but causal roles in cancer proliferation need clarification (Montanaro et al., 2010; 104 citations). Ribosome biogenesis upregulation in tumors complicates isolating PUS-specific contributions (Penzo et al., 2019; 230 citations).
Therapeutic targeting feasibility
Inhibiting PUS enzymes risks disrupting normal RNA stability and translation, with limited selective inhibitors identified (Nombela et al., 2021; 499 citations). Tumor microenvironment dynamics hinder delivery of anti-ψ therapies (Yang et al., 2023; 286 citations).
Essential Papers
An overview of pre‐ribosomal <scp>RNA</scp> processing in eukaryotes
Anthony K. Henras, Célia Plisson‐Chastang, Marie-Françoise O’Donohue et al. · 2014 · Wiley Interdisciplinary Reviews - RNA · 583 citations
Ribosomal RNAs are the most abundant and universal noncoding RNAs in living organisms. In eukaryotes, three of the four ribosomal RNAs forming the 40S and 60S subunits are borne by a long polycistr...
The role of m6A, m5C and Ψ RNA modifications in cancer: Novel therapeutic opportunities
Paz Nombela, Borja Miguel‐López, Sandra Blanco · 2021 · Molecular Cancer · 499 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
The Ribosome Biogenesis—Cancer Connection
Marianna Penzo, Lorenzo Montanaro, Davide Treré et al. · 2019 · Cells · 230 citations
Multifaceted relations link ribosome biogenesis to cancer. Ribosome biogenesis takes place in the nucleolus. Clarifying the mechanisms involved in this nucleolar function and its relationship with ...
Regulation and Function of RNA Pseudouridylation in Human Cells
Erin K. Borchardt, Nicole M. Martínez, Wendy V. Gilbert · 2020 · Annual Review of Genetics · 230 citations
Recent advances in pseudouridine detection reveal a complex pseudouridine landscape that includes messenger RNA and diverse classes of noncoding RNA in human cells. The known molecular functions of...
Quantitative sequencing using BID-seq uncovers abundant pseudouridines in mammalian mRNA at base resolution
Qing Dai, Lisheng Zhang, Hui‐Lung Sun et al. · 2022 · Nature Biotechnology · 219 citations
Abstract Functional characterization of pseudouridine (Ψ) in mammalian mRNA has been hampered by the lack of a quantitative method that maps Ψ in the whole transcriptome. We report bisulfite-induce...
Role of main RNA modifications in cancer: N6-methyladenosine, 5-methylcytosine, and pseudouridine
Chen Xue, Qingfei Chu, Qiuxian Zheng et al. · 2022 · Signal Transduction and Targeted Therapy · 161 citations
Reading Guide
Foundational Papers
Start with Henras et al. (2014; 583 citations) for pre-rRNA processing context, then Montanaro et al. (2010; 104 citations) for DKC1's p53 mechanism in cancer.
Recent Advances
Study Nombela et al. (2021; 499 citations) for therapeutic opportunities and Dai et al. (2022; 219 citations) for ψ mapping advances.
Core Methods
Core techniques include BID-seq for ψ detection (Dai et al., 2022), ribosome profiling for biogenesis (Penzo et al., 2019), and bisulfite sequencing adaptations.
How PapersFlow Helps You Research Pseudouridine Synthases in Cancer
Discover & Search
Research Agent uses searchPapers and citationGraph on DKC1-ribosome links to map 50+ papers from Henras et al. (2014; 583 citations), then exaSearch for PUS inhibitors and findSimilarPapers for ψ-cancer extensions.
Analyze & Verify
Analysis Agent applies readPaperContent to parse BID-seq data from Dai et al. (2022), runs verifyResponse with CoVe for ψ quantification claims, and runPythonAnalysis for statistical correlation of DKC1 expression with cancer survival via pandas on supplementary tables, graded by GRADE for evidence strength.
Synthesize & Write
Synthesis Agent detects gaps in PUS7 roles via contradiction flagging across Nombela et al. (2021) and Borchardt et al. (2020); Writing Agent uses latexEditText for figure captions, latexSyncCitations for 20+ refs, latexCompile for review drafts, and exportMermaid for ribosome biogenesis pathway diagrams.
Use Cases
"Correlate DKC1 expression levels with survival in lung cancer cohorts"
Research Agent → searchPapers('DKC1 cancer survival') → Analysis Agent → runPythonAnalysis(pandas on TCGA data from Penzo et al. 2019 supp) → matplotlib survival plots and p-values.
"Draft LaTeX review on pseudouridine synthases and immunotherapy targets"
Synthesis Agent → gap detection on Nombela et al. 2021 → Writing Agent → latexEditText(structured sections) → latexSyncCitations(15 papers) → latexCompile(PDF) with exportMermaid(ψ modification flowchart).
"Find code for BID-seq pseudouridine quantification"
Research Agent → paperExtractUrls(Dai et al. 2022) → paperFindGithubRepo → Code Discovery → githubRepoInspect → runPythonAnalysis(imported BID-seq pipeline on sample mRNA data).
Automated Workflows
Deep Research workflow scans 250M+ papers via OpenAlex for 'pseudouridine synthase cancer', building structured report chaining citationGraph from Henras et al. (2014) to recent BID-seq advances. DeepScan applies 7-step CoVe checkpoints to verify DKC1-p53 claims from Montanaro et al. (2010), outputting graded evidence tables. Theorizer generates hypotheses on PUS inhibition from ribosome biogenesis papers like Catez et al. (2018).
Frequently Asked Questions
What defines pseudouridine synthases in cancer research?
Pseudouridine synthases like DKC1 and PUS1/7 add ψ to RNA, stabilizing structures for ribosome biogenesis and immune evasion (Borchardt et al., 2020; Nombela et al., 2021).
What methods detect ψ modifications?
BID-seq enables base-resolution ψ mapping in mRNA via bisulfite-induced deletion (Dai et al., 2022; 219 citations); earlier methods lacked transcriptome-wide quantification.
What are key papers on this topic?
Foundational: Henras et al. (2014; 583 citations) on pre-rRNA; Montanaro et al. (2010; 104 citations) on DKC1-p53. Recent: Nombela et al. (2021; 499 citations), Dai et al. (2022; 219 citations).
What open problems exist?
Selective PUS inhibitors, causal ψ roles in oncogenesis beyond ribosomes, and tumor-specific ψ landscapes remain unsolved (Xue et al., 2022; Yang et al., 2023).
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Part of the RNA modifications and cancer Research Guide