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      The roles and therapeutic implications of messenger RNA internal N 7‐methylguanosine and N 6‐methyladenosine modifications in chemoresistance

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          Abstract

          1 Resistance to chemotherapy is responsible for the death of most cancer patients. RNA modifications are key players in post‐transcriptional gene regulation and their dysregulations contribute to tumor initiation, progression, and resistance to chemotherapy. Despite the identification of over 170 chemical modifications in nearly all types of RNAs, the biological functions and underlying mechanisms of the vast majority of RNA modifications remain elusive in the context of tumorigenesis and drug resistance. N 6‐methyladenosine (m6A) is the most prevalent internal modification in eukaryotic messenger RNAs (mRNAs). The characterization of proteins that deposit, remove, and recognize mRNA m6A marks, as writers, erasers and readers, respectively, has revealed the profound roles of m6A in determining mRNA fates during both physiological and pathological processes. Besides m6A, another commonly observed positively charged modification is N 7‐methylguanosine (m7G), which is ubiquitously located at the 5′ cap of mRNAs. This m7G cap is fundamental to mRNA stability, export, and translation. Meanwhile, multiple independent studies have revealed that m7G modification could also be introduced internally onto mRNAs by the METTL1/WDR4 methyltransferase complex. 1 , 2 In eukaryotic cells, the internal m7G/G ratio in mRNAs ranges from 0.02% to 0.05%, roughly at 5%−10% of the level of mRNA m6A/A ratio. However, unlike m6A, the functions of mRNA internal m7G remain largely unexplored. As the role of internal m7G is mediated by its reader proteins, identification of such readers is pivotal for us to understand the function of internal m7G. Our recent work discovered the Quaking (QKI) protein (including three isoforms, QKI5, QKI6 and QKI7) as the first reader for internal m7G modification. 3 Utilizing multiple high‐throughput sequencing approaches, we demonstrated that QKI7 regulates the stability and translation efficiency of a subset of internal m7G‐modified transcripts under stress conditions, rendering cancer cells more responsive to chemotherapy drugs in vitro and in vivo. Tumours are complex ecosystems that dynamically adapt to various types of external stress stimuli. Evidence is emerging that RNA modifications serve as critical regulatory mechanisms in cancer cells to respond to external stress, including chemotherapeutics, and are critical for tumorigenesis and drug resistance. Consistently, the expression of their regulators (i.e., writers, erasers, and readers) is frequently dysregulated in tumours. Notably, many genes involved in drug resistance are decorated with m6A on their transcripts, including drug‐metabolizing enzymes (e.g. CYP2C8), multidrug efflux transporters (e.g., ABCG2, ABCC9 and ABCC10), and DNA damage repair genes (e.g. p53, BRCA1). 4 Additionally, a recent transcriptome‐wide profiling study of internal m7G revealed a significantly lower internal m7G level on ABC transporter‐encoded transcripts (key players in multidrug resistance) in drug‐resistant acute myeloid leukaemia (AML) cells than in regular AML cells. 5 Therefore, targeting the dysregulated m6A/m7G machinery appears to be a promising strategy to overcome cancer chemoresistance (Figure 1). FIGURE 1 Targeting N 6‐methyladenosine (m6A) and N 7‐methylguanosine (m7G) regulators to overcome drug resistance. Several small molecule drugs targeting m6A regulators (e.g. METTL3, METTL14, FTO and ALKBH5) have the potential to overcome drug resistance by regulating the expression of drug‐metabolizing enzymes, multidrug efflux transporters and drug‐mediated DNA damage repair transcripts. Additionally, Quakings (QKIs) play important roles as mRNA internal m7G‐binding proteins in modulating cancer cells’ response to chemotherapy drugs (e.g. doxorubicin). Thus, small molecule drugs targeting m7G regulators (e.g. METTL1, WDR4 and QKI) may also be a promising strategy to overcome drug resistance. This figure was created with BioRender.com. Stress conditions including chemotherapy drugs induce the formation of stress granules (SGs), the membraneless cytoplasmic ribonucleoprotein particles in cells. The formation of SGs requires certain RNA binding proteins such as G3BP1 to act as a molecular hub to trigger SG assembly. 6 Current evidence supports the implication of SGs in chemoresistance. For instance, G3BP1 depletion sensitizes glioblastoma cell lines to Bortezomib treatment by suppressing SG assembly and glutamine deprivation overcomes chemoresistance in pancreatic cancer through inhibition of SG formation. However, the capacity of SG to confer cancer cells chemoresistance and survival advantage relies on the recruitment of a set of target RNAs to influence their expression/function. Until recently, the mechanism behind such recruitment has been mostly unknown. In 2020, Fu et al. reported that YTHDF proteins, as m6A readers, recruit m6A‐modified mRNAs into SGs by promoting phase separation. 7 Our recent work revealed that, via direct interaction with the SG core protein G3BP1, QKI7 could selectively shuttle internal m7G‐modified mRNAs into SGs under stress. 3 Importantly, the clinical relevance of this finding was demonstrated in cancer cells treated with doxorubicin, a first‐line chemotherapy drug that induces SG assembly. Further in vitro and in vivo models showed that forced expression of QKI7 sensitizes cancer cells to doxorubicin treatment, as associated with suppressed translation of a subset of m7G‐modified transcripts, including those in the Hippo signaling pathway (e.g. GSK3B and TEAD1) (Figure 1). Furthermore, clinical data from TCGA database showed a significant positive correlation between QKIs and several SG markers in various types of cancers, suggesting a broad role of QKIs as mRNA internal m7G‐binding proteins in regulating cancer cells’ stress response and drug resistance. Given the critical roles of RNA modifications in cancer chemoresistance, researchers have enthusiastically explored the potential of targeting these RNA modification modulators to enhance the efficacy of chemotherapeutics. Some encouraging results have been achieved for small molecules targeting m6A regulators in different cancer types. For example, meclofenamic acid, an FTO inhibitor, restores gefitinib sensitivity in non‐small cell lung cancer, and the combination of rhein (another FTO inhibitor) with tyrosine kinase inhibitors (TKIs) may benefit tyrosine kinase inhibitor‐resistant cancer patients. 8 In terms of m7G regulators, while our work highlights the significance of QKIs as internal m7G readers in drug resistance, several additional studies underscore the importance of m7G writers METTL1/WDR4 in chemoresistance. 9 However, no small molecules targeting QKIs or METTL1/WDR4 have been reported so far. Thus, the development of potent therapeutic agents targeting m7G regulators represents a major area of research and potential advancement in cancer treatment. While targeting RNA modifications holds promise as a novel therapeutic strategy to combat chemoresistance, our understanding of the fundamental molecular mechanisms underlying the functions of epitranscriptomic modifications, especially those other than m6A, in drug resistance is still in its infancy. Future efforts to fully elucidate the mechanism through which mRNA modifications (e.g. m7G and m6A) regulate the response of cancer cells to chemotherapy drugs, along with the development of novel potent therapeutic agents guided by these mechanisms and validated through clinical trials, are imperative. These endeavours may offer valuable insights into effectively overcoming drug resistance in clinical settings. CONFLICT OF INTEREST STATEMENT The authors declare no conflict of interest.

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          G3BP1 Is a Tunable Switch that Triggers Phase Separation to Assemble Stress Granules

          The mechanisms underlying ribonucleoprotein (RNP) granule assembly, including the basis for establishing and maintaining RNP granules with distinct composition, are unknown. One prominent type of RNP granule is the stress granule (SG), a dynamic and reversible cytoplasmic assembly formed in eukaryotic cells in response to stress. Here, we show that SGs assemble through liquid-liquid phase separation (LLPS) arising from interactions distributed unevenly across a core protein-RNA interaction network. The central node of this network is G3BP1, which functions as a molecular switch that triggers RNA-dependent LLPS in response to a rise in intracellular free RNA concentrations. Moreover, we show that interplay between three distinct intrinsically disordered regions (IDRs) in G3BP1 regulates its intrinsic propensity for LLPS, and this is fine-tuned by phosphorylation within the IDRs. Further regulation of SG assembly arises through positive or negative cooperativity by extrinsic G3BP1-binding factors that strengthen or weaken, respectively, the core SG network.
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            Transcriptome-wide Mapping of Internal N7-Methylguanosine Methylome in Mammalian mRNA

            N 7 -methylguanosine (m 7 G) is a positively-charged, essential modification at the 5’ cap of eukaryotic messenger RNA (mRNA), regulating mRNA export, translation, and splicing. m 7 G also occurs internally within transfer RNA (tRNA) and ribosomal RNA (rRNA), but its existence and distribution within eukaryotic mRNA remains to be investigated. Here, we show the presence of internal m 7 G sites within mammalian mRNA. We then performed transcriptome-wide profiling of internal m 7 G methylome using m 7 G -MeRIP-seq. To map this modification at base resolution, we developed a chemical-assisted sequencing approach that selectively converts internal m 7 G sites into abasic sites, inducing misincorporation at these sites during reverse transcription. This base-resolution m 7 G-seq enabled transcriptome-wide mapping of m 7 G in human tRNA and mRNA, revealing distribution features of the internal m 7 G methylome in human cells. We also identified METTL1 as a methyltransferase that installs a subset of m 7 G within mRNA and showed that internal m 7 G methylation could affect mRNA translation. Zhang et al. discovered the presence of internal N 7 -methylguanosine (m 7 G) within mammalian mRNA. Both antibody-based and chemical-assisted methods were developed for transcriptome-wide mapping of internal m 7 G, with the latter reaching single-base resolution. METTL1/WDR4 was identified as a writer complex that installs a subset of m 7 G on mRNA, which affects translation.
              • Record: found
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              m 6 A-binding YTHDF proteins promote stress granule formation

              Diverse RNAs and RNA-binding proteins form phase-separated, membraneless granules in cells under stress conditions. However, the role of the prevalent mRNA methylation, m6A, and its binding proteins in stress granule (SG) assembly remain unclear. Here, we show that m6A-modified mRNAs are enriched in SGs, and that m6A-binding YTHDF proteins are critical for SG formation. Depletion of YTHDF1/3 inhibits SG formation and recruitment of mRNAs to SGs. Both the N-terminal intrinsically disordered region and the C-terminal m6A-binding YTH domain of YTHDF proteins are important for SG formation. Super-resolution imaging further reveals that YTHDF proteins appear to be in a super-saturated state, forming clusters that often reside in the periphery of and at the junctions between SG core clusters, and potentially promote SG formation by reducing the activation energy barrier and critical size for SG condensate formation. Our results suggest a new function of the m6A-binding YTHDF proteins in regulating SG formation.

                Author and article information

                Contributors
                rsu@coh.org
                jianchen@coh.org
                Journal
                Clin Transl Med
                Clin Transl Med
                10.1002/(ISSN)2001-1326
                CTM2
                Clinical and Translational Medicine
                John Wiley and Sons Inc. (Hoboken )
                2001-1326
                04 September 2023
                September 2023
                : 13
                : 9 ( doiID: 10.1002/ctm2.v13.9 )
                : e1400
                Affiliations
                [ 1 ] Department of Systems Biology Beckman Research Institute of City of Hope Monrovia California USA
                [ 2 ] Department of Liver Surgery Renji Hospital School of Medicine Shanghai Jiao Tong University Shanghai China
                [ 3 ] City of Hope Comprehensive Cancer Center City of Hope Duarte California USA
                Author notes
                [*] [* ] Correspondence

                Jianjun Chen and Rui Su, Department of Systems Biology, Beckman Research Institute of City of Hope, Monrovia, CA 91016, USA.

                Email: jianchen@ 123456coh.org and rsu@ 123456coh.org

                [#]

                Zhicong Zhao and Ying Qing contributed equally.

                Author information
                https://orcid.org/0000-0003-3749-2902
                Article
                CTM21400
                10.1002/ctm2.1400
                10477465
                37667528
                39385974-c9f2-4b89-851d-e4a94b428ad6
                © 2023 The Authors. Clinical and Translational Medicine published by John Wiley & Sons Australia, Ltd on behalf of Shanghai Institute of Clinical Bioinformatics.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 22 August 2023
                : 28 August 2023
                Page count
                Figures: 1, Tables: 0, Pages: 3, Words: 1583
                Funding
                Funded by: National Institutes of Health , doi 10.13039/100000002;
                Award ID: R01CA271497
                Award ID: R01CA236399
                Award ID: R01CA243386
                Award ID: R01CA280389
                Funded by: The Simms/Mann Family Foundation
                Funded by: The AASLD Foundation
                Award ID: PNC22‐261362
                Funded by: Leukemia Research Foundation , doi 10.13039/100005968;
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                2.0
                September 2023
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.3.3 mode:remove_FC converted:05.09.2023

                Medicine
                Medicine

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