Literature DB >> 33219048

RNA-binding protein RALY reprogrammes mitochondrial metabolism via mediating miRNA processing in colorectal cancer.

Lei Sun1, Arabella Wan2, Zhuolong Zhou3, Dongshi Chen4, Heng Liang1, Chuwei Liu2, Shijia Yan1, Yi Niu1, Ziyou Lin1, Siyue Zhan1, Shanfeng Wang5, Xianzhang Bu1, Weiling He2,6, Xiongbin Lu7,8, Anlong Xu9,10, Guohui Wan11.   

Abstract

OBJECTIVE: Dysregulated cellular metabolism is a distinct hallmark of human colorectal cancer (CRC). However, metabolic programme rewiring during tumour progression has yet to be fully understood.
DESIGN: We analysed altered gene signatures during colorectal tumour progression, and used a complex of molecular and metabolic assays to study the regulation of metabolism in CRC cell lines, human patient-derived xenograft mouse models and tumour organoid models.
RESULTS: We identified a novel RNA-binding protein, RALY (also known as hnRNPCL2), that is highly associated with colorectal tumour aggressiveness. RALY acts as a key regulatory component in the Drosha complex, and promotes the post-transcriptional processing of a specific subset of miRNAs (miR-483, miR-676 and miR-877). These miRNAs systematically downregulate the expression of the metabolism-associated genes (ATP5I, ATP5G1, ATP5G3 and CYC1) and thereby reprogramme mitochondrial metabolism in the cancer cell. Analysis of The Cancer Genome Atlas (TCGA) reveals that increased levels of RALY are associated with poor prognosis in the patients with CRC expressing low levels of mitochondrion-associated genes. Mechanistically, induced processing of these miRNAs is facilitated by their N6-methyladenosine switch under reactive oxygen species (ROS) stress. Inhibition of the m6A methylation abolishes the RALY recognition of the terminal loop of the pri-miRNAs. Knockdown of RALY inhibits colorectal tumour growth and progression in vivo and in organoid models.
CONCLUSIONS: Collectively, our results reveal a critical metabolism-centric role of RALY in tumour progression, which may lead to cancer therapeutics targeting RALY for treating CRC. © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Entities:  

Keywords:  colorectal cancer; gene expression; molecular biology; molecular mechanisms

Mesh:

Substances:

Year:  2020        PMID: 33219048      PMCID: PMC8355885          DOI: 10.1136/gutjnl-2020-320652

Source DB:  PubMed          Journal:  Gut        ISSN: 0017-5749            Impact factor:   23.059


Dysregulation of metabolism in cancer cells is dynamically regulated at many cancer hallmarks. Metabolic reprogramming in cancer cells could be impacted by post-translational events and epigenetic regulation of genes. RALY was identified in the spliceosome complex and in the Drosha microprocessor complex. The m6A modification is found to alter RNA structure to enhance HNRNPC binding, and HNRNPA2B1 could bind to the m6A marks in some pri-miRNA transcripts to promote their processing. RALY is highly associated with metastasis of malignant colorectal cancer (CRC). RALY acts as a key regulatory component in the Drosha complex, and promotes the post-transcriptional processing of a specific subset of miRNAs. RALY-mediated miRNAs processing is modulated by N6-methyladenosine switch, and reprogrammes mitochondrial metabolism by downregulating the electron transport chain genes. Inhibition of RALY suppresses colorectal tumour growth and progression in vivo and in the organoid models. Our report first reveals a critical metabolism-centric role of RALY in tumour progression. It provides a novel therapeutic strategy to target RALY for CRC treatment.

Introduction

The acquired capability of unrestrained replicative potential has been a representative hallmark for cancer cells.1 To meet the requirement for hyperproliferation, cancer cells shift intracellular energy metabolism and mainly rely on glycolysis pathways instead of mitochondrial oxidative phosphorylation (OXPHOS) to support their energy demand and biomass synthesis, even when the oxygen level is sufficient.1 2 Dysregulation of metabolism in cancer cells is actively regulated at many cancer hallmarks, including proliferation, angiogenesis, invasion and metastasis.3 4 In a recent study, we reported that USP13 as a key regulator rewires energy metabolism through deubiquitinating ATP citrate synthase (ACLY) and 2-oxoglutarate dehydrogenase (OGDH) and promotes ovarian tumour progression.5 Emerging evidence has shown that metabolic reprogramming in cancer cells could be impacted by post-translational events and epigenetic modulation of gene expression.6–8 Identification of key regulators in mediating cancer cell metabolism could lead to a new therapeutic approach for cancer treatment. As ‘energy factories’, mitochondria control the bioenergetics, biosynthetic and signalling organelles of cancer cells and serve as an attractive target for cancer therapy.9–11 Previous reports showed that inhibition of electron transport chain (ETC) genes could sensitise cancer cells to glucose depletion and reduce tumour progression.12 13 However, regulation of ETC gene expression in tumour progression remains largely unknown. Recent studies indicate that epigenetic regulation has an essential role in controlling cellular signalling pathways during tumourigenesis.14 15 Delineation of multifaceted epigenetic changes in mitochondrial metabolism during tumour progression would provide insights into the crucial mechanism by which cancer cells adapt to a changing microenvironment. Recently, miRNAs have been found to act as master gene regulators, similar to transcription factors, to mediate gene expression patterns in various cellular activities, including cell metabolism.16 17 C-Myc suppression of miR-23a and miR-23b enhances mitochondrial glutaminase expression, leading to elevated glutamine catabolism in prostate cancer and B lymphoma.18 The RNA binding protein Lin28 inhibits let-7 biogenesis to promote the insulin-PI3K-mTOR pathway and increase glucose uptake.19 MiR-103, miR-107 and miR-143 are involved in regulating insulin-mediated glucose metabolism,20 21 while miR-33 cooperates with SREBPs to target ABCA1 and coordinate cholesterol biosynthesis and trafficking.22 MiRNAs have been known to provide a functional link between metabolic reprogramming and tumourigenesis. In this study, we identify a novel RNA-binding protein, RALY (HnRNP-Associated with Lethal Yellow, also called hnRNPCL2), as a crucial indicator for tumour progression in colorectal cancer (CRC). We present here a role of RALY in reprogramming mitochondrial metabolism via mediating miRNA processing in CRC, and highlight the potential therapeutic strategy by targeting RALY in CRC therapy.

Materials and methods

RNA immunoprecipitation

As previously described,23 RNA immunoprecipitation (RIP) assay was performed using the Magna RIP RNA-Binding Protein Immunoprecipitation Kit (17–700, Merck Millipore, USA) in accordance with manufacturer’s protocol. Stable RALY-overexpressed HEK293T cells were collected and total RNA was obtained by re-suspending and dispersing the cell pellet in complete RIP Lysis Buffer. Antibodies of RALY (ab170105, Abcam) or negative control normal rabbit IgG (PP64B) in magnetic beads were added to pull down specific RNAs. Enriched microRNAs were subject to high-throughput NGS sequencing and validated by quantitative RT-PCR.

Metabolic detection

ECAR and oxygen consumption rate (OCR) were monitored using a Seahorse Bioscience Analyzer (XF96) according to the manufacturer’s instructions. Cells were seeded in 96-well plates at a density of 5–8×103 cells per well with growth medium for at least 18 hours. Next, the medium was changed to base medium (DMEM, 143 mM NaCl, phenol red, pH 7.35). For ECAR analysis, cells were added with the medium containing 2 mM glutamine (pH 7.35) and monitored every 3 min following successive administration of 10 mM of glucose, and inhibitors (1 µM oligomycin and 50 mM 2-deoxyglucose). For OCR analysis, cells were added with Mito stress-test base medium (10 mM glucose, 2 mM glutamine, 1 mM pyruvate, pH 7.4) and monitored every 3 min following successive administration of inhibitors (2 µM oligomycin, 2 µM FCCP, or 0.5 µM rotenone/antimycin A).11 A detailed description of the materials and methods can be found in online supplemental materials and methods.

Results

Upregulation of RALY is associated with aggressiveness in CRC

Specific focal gene amplifications, gene losses and altered gene-expression levels have been identified as signature events for CRC progression.24 We conducted intensive analysis of gene alterations in CRC from the TCGA database by using genomic set enrichment analysis (GSEA), and identified a specific group of genes related to RNA alternative splicing that is highly associated with tumour metastasis (figure 1A). Among those genes, a novel RNA binding protein, RALY was identified as a molecular signature associated with tumour aggressiveness from the integrative analysis of tumour stages, lymph node invasion, vascular invasion and distant metastasis status at the time of surgery (figure 1B). Amplification of the RALY gene occurs frequently in human cancers and locates in the proximity of E2F1 (figure 1C and D). Upregulation of RALY is found in 56% of CRC cases (figure 1E). We demonstrate that RALY is overexpressed in nine human CRC cell lines as compared with the normal human colon epithelial cell line (figure 1F–H). By using CRC patient tissue samples locally procured, we further validated the upregulation of RALY in the CRC tumours in comparison with their adjacent normal tissues (figure 1I and J and online supplemental figure 1) and (online supplemental table 1). Analysis of TCGA database and the local CRC database revealed that expression of RALY is tightly associated with its gene copy number (figure 1K) and high expression of RALY correlates with poor clinical outcome in CRC patients (figure 1L and online supplemental figure 2A). By correlation analysis with clinical data from TCGA (colon adenocarcinoma (COAD)+rectum adenocarcinoma (READ)), the expression of RALY is significantly correlated with several univariate clinical factors including tumour stage and distant metastasis, but not with the status of KRAS, BRAF and MSI, indicating that RALY may be used as an independent prognostic biomarker for CRC metastasis (online supplemental figure 2B) and (online supplemental table 2).
Figure 1

Upregulation of RALY is associated with aggressiveness in colorectal cancer. (A) Functional annotation of altered expression of genes that are associated with CRC tumour aggression. (B) Gene-expression signatures involved in RNA alternative splicing are associated with CRC tumour aggression. Tumour aggressiveness is defined according to selected clinical assays that are shown in colour, with red indicating markers of tumour aggressiveness and blue indicating markers of less-aggressiveness tumours. (C) Amplification of the RALY gene occurs frequently in human cancers. (D) Schematic diagram of amplified genes adjacent to RALY in the human genome. (E) Upregulation of RALY is frequently found in CRC patients. (F–H) Copy numbers (F), relative mRNA expression levels (G) and protein expression levels (H) of RALY in human CRC cell lines. NCM460 is a normal human colon epithelial cell line as a control. (I) RALY expression level in representative local clinical CRC patients and their adjacent normal tissues. (J) Quantification of RALY upregulation in 130 local CRC tumours compared with adjacent normal tissues from IHC results. (K) Scatter plots of RALY copy number vs mRNA expression in TCGA database. Pearson correlation coefficients (r) and p values are shown. (L) Upregulation of RALY is significantly associated with poorer overall survival rates in CRC patients. Data information: in all relevant panels, ****p<0.0001; two-tailed t-test. Data are presented as mean ± SD and are representative of three independent experiments. CRC, colorectal cancer; IHC, immunohistochemistry; TCGA, The Cancer Genome Atlas.

Upregulation of RALY is associated with aggressiveness in colorectal cancer. (A) Functional annotation of altered expression of genes that are associated with CRC tumour aggression. (B) Gene-expression signatures involved in RNA alternative splicing are associated with CRC tumour aggression. Tumour aggressiveness is defined according to selected clinical assays that are shown in colour, with red indicating markers of tumour aggressiveness and blue indicating markers of less-aggressiveness tumours. (C) Amplification of the RALY gene occurs frequently in human cancers. (D) Schematic diagram of amplified genes adjacent to RALY in the human genome. (E) Upregulation of RALY is frequently found in CRC patients. (F–H) Copy numbers (F), relative mRNA expression levels (G) and protein expression levels (H) of RALY in human CRC cell lines. NCM460 is a normal human colon epithelial cell line as a control. (I) RALY expression level in representative local clinical CRC patients and their adjacent normal tissues. (J) Quantification of RALY upregulation in 130 local CRC tumours compared with adjacent normal tissues from IHC results. (K) Scatter plots of RALY copy number vs mRNA expression in TCGA database. Pearson correlation coefficients (r) and p values are shown. (L) Upregulation of RALY is significantly associated with poorer overall survival rates in CRC patients. Data information: in all relevant panels, ****p<0.0001; two-tailed t-test. Data are presented as mean ± SD and are representative of three independent experiments. CRC, colorectal cancer; IHC, immunohistochemistry; TCGA, The Cancer Genome Atlas.

RALY interacts with the Drosha complex and regulates a subset of miRNA expression

Previously microRNA biogenesis has been shown to coordinate with alternative splicing under stress in the supraspliceosome,25 26 and RALY was identified in the spliceosome complex27 and in the Drosha microprocessor complex.28 However, the functional role of RALY in microRNA biogenesis remains unknown. We examined the physical interaction of RALY with the Drosha microprocessor (figure 2A). Endogenous RALY was validated in the Drosha immunoprecipitate, and conversely, Drosha and DGCR8 were detected in the RALY immunoprecipitate. We also verified the colocalisation of RALY and Drosha in the nucleus (online supplemental figure 2C). To examine the effect of RALY on miRNA biogenesis, we performed the analysis of global mRNA and miRNA expression by next-generation sequencing in the RALY-knockdown HCT116 cells, and by RALY RIP sequencing in the RALY-overexpressed 293 T cells (figure 2B and online supplemental table 3). Depletion of RALY significantly decreased the expression levels of a subset of 17 miRNAs (cutoff >2 fold), while overexpression of RALY significantly increased their level enrichment in the RALY immunoprecipitate complex (figure 2C and D). To determine whether RALY regulates the miRNA expression at transcriptional or post-transcriptional levels, we detected the levels of both pri-miRNAs and mature miRNAs in the RALY-knockdown or RALY-overexpression HCT116 cells. As a control, miR-21 was used in the assay as it does not depend on the RALY expression level. No notable differences were detected on the transcription of pri-miRNAs including pri-miR-96, pri-miR-483, pri-miR-618, pri-miR-676 and pri-miR-877 in the control cells and RALY-knockdown or RALY-overexpression cells. However, levels of mature forms of the RALY-dependent miRNA, but not control miR-21, were dramatically decreased when RALY was knocked down in HCT116 cells. Conversely, these RALY-dependent miRNAs were elevated in the RALY-overexpression HCT116 cells (figure 2E, F). To validate the universal RALY-dependency of these miRNAs in CRC, we further analysed the mature forms of these miRNAs in eight more CRC cell lines, including HCT8, HCT15, LOVO, RKO, HT29, SW620, SW480 and HT55 cell lines. Consistently, knockdown of RALY significantly suppressed the levels of RALY-dependent miRNAs, but not the level of the control miR-21, in these cell lines (figure 2G). These results indicate that RALY promotes the expression of specific miRNAs at the post-transcriptional level.
Figure 2

RALY interacts with the Drosha complex and regulates a subset of miRNA expression. (A) Interaction between endogenous RALY and Drosha/DGCR8 complex. Immunoprecipitation (IP) and Western blot analysis were performed using indicated antibodies. WCL, whole-cell lysate. (B) Pipeline for identifying relevant RALY-dependent genes and miRNAs in CRC. (C) Venn diagram showing the overlap of miRNA-seq results and RIP-seq results. RIP-seq identified differentially expressed miRNAs interacting with RALY antibody in the 293 T cell line compared with IgG. (fold change >4) (D) Depletion of RALY inhibited expression of a subset of miRNAs. Total RNAs from control and RALY knockdown (KD) were subject to global miRNA-profiling analysis using RNA sequencing. Colour intensity refers to miRNA expression level. (E–F) Levels of primary form and mature form of the RALY-dependent miRNA in RALY-KD (E) and RALY-overexpression (F) HCT116 cells. (G) Validation of RALY-dependent miRNAs expression in human CRC cell lines with RALY-KD. Data information: in all relevant panels, *p<0.05; **p<0.01; ***p<0.001; two-tailed t-test. Data are presented as mean ± SD and are representative of three independent experiments. CRC, colorectal cancer; RIP, RNA immunoprecipitation.

RALY interacts with the Drosha complex and regulates a subset of miRNA expression. (A) Interaction between endogenous RALY and Drosha/DGCR8 complex. Immunoprecipitation (IP) and Western blot analysis were performed using indicated antibodies. WCL, whole-cell lysate. (B) Pipeline for identifying relevant RALY-dependent genes and miRNAs in CRC. (C) Venn diagram showing the overlap of miRNA-seq results and RIP-seq results. RIP-seq identified differentially expressed miRNAs interacting with RALY antibody in the 293 T cell line compared with IgG. (fold change >4) (D) Depletion of RALY inhibited expression of a subset of miRNAs. Total RNAs from control and RALY knockdown (KD) were subject to global miRNA-profiling analysis using RNA sequencing. Colour intensity refers to miRNA expression level. (E–F) Levels of primary form and mature form of the RALY-dependent miRNA in RALY-KD (E) and RALY-overexpression (F) HCT116 cells. (G) Validation of RALY-dependent miRNAs expression in human CRC cell lines with RALY-KD. Data information: in all relevant panels, *p<0.05; **p<0.01; ***p<0.001; two-tailed t-test. Data are presented as mean ± SD and are representative of three independent experiments. CRC, colorectal cancer; RIP, RNA immunoprecipitation.

RALY reprogrammes mitochondrial metabolism in CRC through mediating miRNA expression

To investigate the functional role of RALY in CRC tumour progression, we establish stable RALY-knockdown models in HCT116, HCT15 and LOVO cells with two independent shRNAs (shRALY#1 and #2) (online supplemental figure 3A). To determine the biological function of RALY, we performed GSEA in the RALY-knockdown HCT116 cells, and found that the OXPHOS pathways including energy metabolism and mitochondrial respiratory ETC are significantly enriched in the RALY-depleted cells (figures 2B and 3A). Knockdown of RALY induced the expression of some mitochondrion-related ETC genes, including ATP5I, ATP5G1, ATP5G3, ATP5J2 and CYC1 at both RNA and protein levels (figure 3B and C). We reasoned that knockdown of RALY reprograms mitochondrial metabolism in CRC, and thereby limits the synthesis of intermediates in the TCA cycle from the OXPHOS pathways. Marked reduction of extracellular acidification rate (ECAR) levels was observed in the RALY-knockdown cells, indicating the influence of RALY on aerobic glycolysis, while increased basal OCR levels in the RALY-knockdown cells suggested a role of RALY in aerobic respiration. Conversely, overexpression of RALY elevated the ECAR levels and decreased the OCR levels (figure 3D and E and online supplemental figure 3B-F). Significant reduction of ATP levels and induction of ROS levels were also observed in the RALY-knockdown cells and the opposites were seen in the RALY-overexpressed cells (figure 3F and G and online supplemental figure 3GH). As a rapid turnover of NAD+ is required in cancer cells due to their elevated metabolic needs,29 depletion of RALY significant increased the NAD+levels and the NAD+/NADH ratios, indicating reduced reductive flux (figure 3H and online supplemental figure 3I, J). In line with our hypothesis, we find that knockdown of RALY significantly increased the expression of ETC genes, leading to reduced ATP production, induced ROS level and the NAD+/NADH ratio in CRC cells.
Figure 3

RALY reprogammes mitochondrial metabolism in CRC through mediating miRNA expression. (A) KEGG enrichment analysis of genes altered by RALY in HCT116 cells. (B, C) Depletion of RALY promoted expression of mitochondrial metabolism-related genes, including ATP5I, ATP5G1, ATP5G3 and CYC1 in mRNA level (B) and protein level (C). (D) Various levels of RALY affected ECAR value and glycolytic capacity in LOVO cells. (E) Various levels of RALY affected OCR value and mitochondrial respiratory capacity in LOVO cells. (F–H) Various levels of RALY regulated ATP production (F), ROS production (G) and NAD+/NADH level (H) in LOVO cells. (I) Knockdown of ATP5I, ATP5G1, ATP5G3, CYC1 in LOVO cell lines by lentiviral shRNA sequences (shATP5I, shATP5G1, shATP5G3, shCYC1), respectively. The knockdown effect was verified by protein level. (J) Knockdown of RALY-dependent ATP5I, ATP5G1, ATP5G3 and CYC1 decreased ROS levels in RALY-depleting LOVO cells. (K–L) Validation of RALY-dependent miRNAs in targeting mitochondrial metabolism-related genes at mRNA level (K) and protein level (L) in LOVO cells. (M) Overexpression of RALY-dependent miRNAs decreased ROS levels in RALY-depleting LOVO cells. Data information: in all relevant panels, *p<0.05; **p<0.01; ***p<0.001; ****p<0.0001; two-tailed t-test. Data are presented as mean±SD and are representative of three independent experiments. ATP, adenosine triphosphate; CRC, colorectal cancer; ECAR, extracellular acidification rate;.

RALY reprogammes mitochondrial metabolism in CRC through mediating miRNA expression. (A) KEGG enrichment analysis of genes altered by RALY in HCT116 cells. (B, C) Depletion of RALY promoted expression of mitochondrial metabolism-related genes, including ATP5I, ATP5G1, ATP5G3 and CYC1 in mRNA level (B) and protein level (C). (D) Various levels of RALY affected ECAR value and glycolytic capacity in LOVO cells. (E) Various levels of RALY affected OCR value and mitochondrial respiratory capacity in LOVO cells. (F–H) Various levels of RALY regulated ATP production (F), ROS production (G) and NAD+/NADH level (H) in LOVO cells. (I) Knockdown of ATP5I, ATP5G1, ATP5G3, CYC1 in LOVO cell lines by lentiviral shRNA sequences (shATP5I, shATP5G1, shATP5G3, shCYC1), respectively. The knockdown effect was verified by protein level. (J) Knockdown of RALY-dependent ATP5I, ATP5G1, ATP5G3 and CYC1 decreased ROS levels in RALY-depleting LOVO cells. (K–L) Validation of RALY-dependent miRNAs in targeting mitochondrial metabolism-related genes at mRNA level (K) and protein level (L) in LOVO cells. (M) Overexpression of RALY-dependent miRNAs decreased ROS levels in RALY-depleting LOVO cells. Data information: in all relevant panels, *p<0.05; **p<0.01; ***p<0.001; ****p<0.0001; two-tailed t-test. Data are presented as mean±SD and are representative of three independent experiments. ATP, adenosine triphosphate; CRC, colorectal cancer; ECAR, extracellular acidification rate;. To validate the effects of RALY on mitochondrial metabolism are mainly mediated by mitochondrion-related ETC genes, we have constructed stable knockdown CRC cells (ATP5I-KD, ATP5G1-KD, ATP5G3-KD and CYC1-KD) by lentiviral shRNAs (figure 3I and online supplemental figure 4A, B). Knockdown of ATP5I, ATP5G1, ATP5G3 and CYC1 significantly reduced ROS levels in the RALY-depleted CRC cells (figure 3J and supplemental figure 4C). To determine how RALY regulates those mitochondrion-related ETC genes, we conducted miRNA-target prediction by using comprehensive tools including TargetScan, MiRanda and miRBase, and identified six specific binding sites at the 3' untranslated region (3’UTR) of those ETC genes for the RALY-dependent miRNAs including miR-483, miR-676 and miR-877 (figure 2B and supplemental figure 4D). To prove the direct effects of these miRNAs on ETC gene expression, we cloned the ETC genes’ 3’UTR sequences into a dual luciferase reporter construct and generated deletion mutant vectors (online supplemental figure 4DE). Overexpression of miR-483, miR-676 and miR-877 reduced the relative luciferase activity of the targeted ETC 3’UTRs while their specific inhibitors (antagomiRs) increased the luciferase activity signals. Deletion mutants on the miRNA-binding sites blocked the regulatory effects mediated by these miRNAs (online supplemental figure 4F). Consistently, overexpression of miR-483, miR-676 and miR-877 downregulated the expression of the target ETC genes at both RNA and protein levels (figure 3K and L and online supplemental figure 5A-D). Conversely, overexpression of miR-483, miR-676 and miR-877 rescued the effects on mitochondrial metabolism caused by RALY depletion in CRC cells (figure 3M and supplemental figure 5E-L). These results illustrate that RALY modulates mitochondrial metabolism through mediating miRNA expression.

RALY regulates CRC cell proliferation and apoptosis under ROS stress

Mitochondrial metabolism is a key role in cellular energy, biosynthesis and cell growth, and ROS is controlled by mitochondria. It has been shown to affect the tumourigenic and metastatic phenotypes.30 Since our results indicate that RALY regulates ROS production by mediating miRNA processing, we postulated that RALY may participate in mitochondrial ROS-involved stress signalling and thus affect tumour growth. Knockdown of RALY remarkably suppressed CRC cell proliferation as indicated by decreasing cell numbers (figure 4A and B and online supplemental figure 6AB), reducing EDU staining (figure 4E and F) and fewer cellular survival dots (figure 4G). To determine whether the mitochondrion-mediated ROS production by RALY is crucial for cell growth in CRC, we use a ROS scavenger, N-acetyl L-cysteine (NAC), to deplete the ROS level in cancer cells. Treatments of NAC partially rescued cancer cell growth in the RALY-knockdown cells, but the rescue effect was not dependent on NAC concentrations (figure 4C, E and G). Similarly, overexpression of ETC genes-related miRNAs (miR-483, miR-676 and miR-877) restored cell growth and proliferation in the RALY-knockdown cells (figure 4D, F and G). We next examined the function of RALY in cell survival by measuring the levels of Ki67 and caspase-3. RALY depletion induced significant apoptosis (indicated by cleaved caspase-3) by flow cytometry. Treatment of NAC or overexpression of the miRNAs related to ETC genes restored cell survival in the RALY-knockdown cells (figure 4H1), as validated by reduction of the ROS level in these rescue of cells compared with the RALY-knockdown cells (figure 4J). These results suggest that RALY plays a crucial role in controlling CRC cell growth and cell death by mediating mitochondrial metabolism.
Figure 4

RALY regulates CRC cell proliferation and apoptosis under ROS stress. (A, B) Cell proliferation with RALY knockdown was measured by cell number counting (A) and CCK8 assay (B). (C) N-acetyl L-cysteine (NAC) treatments rescued cell proliferation in RALY-knockdown HCT116 cells. NAC is a scavenger of ROS. (D) Overexpression of ETC genes-related miRNAs rescued cell proliferation in RALY-knockdown HCT116 cells. (E, F) Treatment with NAC (E) or overexpression with miRNAs (F) rescued cell proliferation in RALY-knockdown HCT116 cells by EDU assay. Quantifications of fold change are shown in E-1 and F-1. (G) Cell survival assay of RALY-knockdown CRC cells after treated with NAC or overexpressed RALY-dependent miRNAs by crystal violet staining assay. (H) Knockdown of RALY promoted the cleavage of caspase 3 and increased Ki67 expression in HCT116 cells. (I) Knockdown of RALY significantly increased cell apoptosis in HCT116 cells by FACS. (J) Treatment with NAC or overexpression with miRNAs decreased ROS levels in RALY-knockdown HCT116 cells. Data information: in all relevant panels, *p<0.05; **p<0.01; ***p<0.001; ****p<0.0001; two-tailed t-test. Data are presented as mean±SD and are representative of three independent experiments. CRC, colorectal cancer; ETC, electron transport chain.

RALY regulates CRC cell proliferation and apoptosis under ROS stress. (A, B) Cell proliferation with RALY knockdown was measured by cell number counting (A) and CCK8 assay (B). (C) N-acetyl L-cysteine (NAC) treatments rescued cell proliferation in RALY-knockdown HCT116 cells. NAC is a scavenger of ROS. (D) Overexpression of ETC genes-related miRNAs rescued cell proliferation in RALY-knockdown HCT116 cells. (E, F) Treatment with NAC (E) or overexpression with miRNAs (F) rescued cell proliferation in RALY-knockdown HCT116 cells by EDU assay. Quantifications of fold change are shown in E-1 and F-1. (G) Cell survival assay of RALY-knockdown CRC cells after treated with NAC or overexpressed RALY-dependent miRNAs by crystal violet staining assay. (H) Knockdown of RALY promoted the cleavage of caspase 3 and increased Ki67 expression in HCT116 cells. (I) Knockdown of RALY significantly increased cell apoptosis in HCT116 cells by FACS. (J) Treatment with NAC or overexpression with miRNAs decreased ROS levels in RALY-knockdown HCT116 cells. Data information: in all relevant panels, *p<0.05; **p<0.01; ***p<0.001; ****p<0.0001; two-tailed t-test. Data are presented as mean±SD and are representative of three independent experiments. CRC, colorectal cancer; ETC, electron transport chain.

RALY mediates miRNA processing through N6-methyladenosine switch

We next looked into the detailed molecular mechanism by which RALY efficiently recruits pri-miRNAs to the Drosha complex and promotes their processing. It has been previously known that the N6-methyladenosine (m6A) mark is associated with the processing of nuclear transcripts,31 and alternative splicing.32 The m6A modification is able to alter RNA structure to enhance HNRNPC binding,33 and HNRNPA2B1 could bind to m6A marks in some pri-miRNA transcripts to promote their processing.34 As a member of the HNRNPC subfamily, RALY shares an RRM motif and an acidic-rich auxiliary domain for formation of a strong and specific RNA interaction.35 We postulated that RALY may promote pri-miRNA processing via the m6A modification of the pri-miRNA. We identified the binding motif of RALY (HHCTG) in the pri-miRNAs from the RALY-RIP sequencing (figure 5A). By comparing the miRNA profiling in the METTL3-depleted cells (GSE70061) and RALY-depleted cells, 5 miRNAs were found in the overlapped regions, including miR-877 (figure 5B and online supplemental figure 7A). Knockdown of METTL3 downregulated the expression levels of miR-483, miR-676 and miR-877 in CRC cells (figure 5C and online supplemental figure 7B). The m6A signal is enriched in pri-miR-877, supporting the potential role of m6A modification in the pri-miRNA processing (figure 5D). As the RGAC motif is the recognition motif for METTL3-mediated m6A methylation,34 three potential m6A sites on miR-877 were identified and indicated as A1, A2 and A3 (figure 5E). We performed RNA pull-down assay with methylated oligonucleotides to validate the authentic m6A sites. The results showed that only m6A-methylation on A3 could significantly increase the pull-down amount of RALY (figure 5F and online supplemental figure 7C), and A3 locates at the terminal loop region of miR-877. Collectively, these results validate that m6A modification could alter its local RNA structure at the terminal loop region of pri-miRNA and enhance the accessibility of its nearby region to modulate RALY binding, thus promoting processing of miRNAs (figure 5G).
Figure 5

RALY mediates miRNA processing through N6-methyladenosine switch. (A) Enrichment of HHCTG motif from the RALY HITS-CLIP peaks (p=2.34E-7). (B) Venn diagram depicting the intersection of miRNAs that are overlapped by RALY-knockdown and METTL3-knockdown (GSE70061). (C) Knockdown of METTL3 decreased RALY-dependent miRNAs in HCT116 cells. (D) m6A-IP sequencing proves that m6a modification participates in regulation of RALY-dependent miR-877. (E) Three putative m6a sites and the HHCTG motif in miR-877. (F) RNA pulled down with m6a methylated oligonucleotides. (G) Illustration of the m6A-switch model mediated by RALY. Data information: in all relevant panels, **p<0.01; ***p<0.001; two-tailed t-test. Data are presented as mean ± SD and are representative of three independent experiments.

RALY mediates miRNA processing through N6-methyladenosine switch. (A) Enrichment of HHCTG motif from the RALY HITS-CLIP peaks (p=2.34E-7). (B) Venn diagram depicting the intersection of miRNAs that are overlapped by RALY-knockdown and METTL3-knockdown (GSE70061). (C) Knockdown of METTL3 decreased RALY-dependent miRNAs in HCT116 cells. (D) m6A-IP sequencing proves that m6a modification participates in regulation of RALY-dependent miR-877. (E) Three putative m6a sites and the HHCTG motif in miR-877. (F) RNA pulled down with m6a methylated oligonucleotides. (G) Illustration of the m6A-switch model mediated by RALY. Data information: in all relevant panels, **p<0.01; ***p<0.001; two-tailed t-test. Data are presented as mean ± SD and are representative of three independent experiments.

METTL3 regulates RALY-mediated mitochondrial metabolism in CRC

Since METTL3-mediated m6A modification is involved in the RALY-dependent miRNA processing, we next asked whether METTL3 plays a role in the RALY-mediated mitochondrial metabolism. By comparing METTL3-dependent m6A gene peaks (GSE94613) and RALY-dependent gene peaks, 454 altered genes were identified in the overlapped region. The GSEA analysis highlighted the overlapped genes enriched in metabolism-related pathways, including OXPHOS (figure 6A). Depletion of METTL3 by siRNAs remarkably reduced the expression of miR-483, miR-676 and miR-877 in the RALY-overexpressed HCT116 cells (figure 6B). We next performed RIP assays to detect whether the pri-miRNA-binding activity of RALY is affected by METTL3. Significantly decreased levels of pri-miR-483, pri-miR-676 and pri-miR-877 were bound by RALY after METTL3 depletion in HCT116 cells (figure 6C). We further generated stable METTL3-knockdown models in HCT116, HCT15 and LOVO cells with two independent shRNA sequences (shMETTL3#1 and #2). Knockdown of METTL3 significantly suppressed cell growth in CRC cells (online supplemental figure 8B). Accordingly, depletion of METTL3 induced the expression of ATP5I, ATP5G1, ATP5G3 and CYC1 at both protein and RNA levels (figure 6D and online supplemental figure 8A). Loss of METTL3 promoted mitochondrial respiration as indicated by increased OCR levels, and suppressed aerobic glycolysis as indicated by decreased ECAR levels in CRC cells. Overexpression of miR-877 rescued the effects on mitochondrial respiration and aerobic glycolysis caused by METTL3 depletion (figure 6E, F and online supplemental figure 8C, D). In line with it, knockdown of METTL3 significantly reduced ATP production and enhanced ROS levels, while overexpression of miR-877 diminished the effects caused by the METTL3 knockdown (figure 6G, H and online supplemental figure 8EF). A notable increase in the NAD+/NADH ratio was observed in the METTL3-depleted CRC cells, but overexpression of miR-877 abolished the induction (figure 6I and online supplemental figure 8G). These results suggest that METTL3-dependent m6A modification in pri-miRNAs is essential for the RALY-mediated mitochondrial metabolism in CRC cells.
Figure 6

METTL3 regulates RALY-mediated mitochondrial metabolism in CRC. (A) The mitochondrial metabolic pathway is highlighted in both RALY-dependent genes and METTL3-dependent genes. (B) Knockdown of METTL3 by siRNAs abolished the induction of RALY-dependent miRNAs expression in RALY-overexpressed HCT116 cells. (C) Knockdown of METTL3 by siRNAs diminished the interaction of RALY with pri-miRNAs. RIP assays were performed using anti-RALY antibodies and the lysates of HCT116 cells treated with or without METTL3 siRNAs. (D) Knockdown of METTL3 increased the expression of RALY-dependent ATP5I, ATP5G1, ATP5G3 and CYC1 by Western blotting. (E) Overexpression of miR-877 rescued ECAR value and OCR level in METTL3-knockdown HCT116 cells. (F) Overexpression of miR-877 rescued glycolytic capacity and mitochondrial respiratory capacity in METTL3-knockdown HCT116 cells. (G–I) Overexpression of miR-877 rescued ATP production (G), ROS production (H) and NAD+/NADH level (I) in METTL3-knockdown HCT116 cells. Data information: in all relevant panels, *p<0.05; **p<0.01; ***p<0.001; ****p<0.0001; two-tailed t-test. Data are presented as mean ± SD and are representative of three independent experiments.

METTL3 regulates RALY-mediated mitochondrial metabolism in CRC. (A) The mitochondrial metabolic pathway is highlighted in both RALY-dependent genes and METTL3-dependent genes. (B) Knockdown of METTL3 by siRNAs abolished the induction of RALY-dependent miRNAs expression in RALY-overexpressed HCT116 cells. (C) Knockdown of METTL3 by siRNAs diminished the interaction of RALY with pri-miRNAs. RIP assays were performed using anti-RALY antibodies and the lysates of HCT116 cells treated with or without METTL3 siRNAs. (D) Knockdown of METTL3 increased the expression of RALY-dependent ATP5I, ATP5G1, ATP5G3 and CYC1 by Western blotting. (E) Overexpression of miR-877 rescued ECAR value and OCR level in METTL3-knockdown HCT116 cells. (F) Overexpression of miR-877 rescued glycolytic capacity and mitochondrial respiratory capacity in METTL3-knockdown HCT116 cells. (G–I) Overexpression of miR-877 rescued ATP production (G), ROS production (H) and NAD+/NADH level (I) in METTL3-knockdown HCT116 cells. Data information: in all relevant panels, *p<0.05; **p<0.01; ***p<0.001; ****p<0.0001; two-tailed t-test. Data are presented as mean ± SD and are representative of three independent experiments.

RALY serves as a potential therapeutic target in CRC

We next examined the functional role of RALY in tumourigenesis in vivo. We generated inducible RALY-knockdown syngeneic mouse tumour models by subcutaneously injection of mouse MC38 cells into C57BL/6 mice (figure 7A). After initial tumour establishment, administration of doxycycline (1.0 mg/mL) in drinking water suppressed RALY expression and consequently inhibited tumour growth (figure 7B–E). Knockdown of RALY in the tumours induced the expression of ATP5I and decreased miR-676 expression, as indicated by Western blotting assay and RT-PCR, respectively (figure 7B, C). We then established an orthotopic mouse xenograft CRC model by injection of inducible RALY-knockdown LOVO cells into the cecal wall of NOD-SCID mice. The group treated with doxycycline showed fewer and smaller tumour nodules in the colon compared with the group treated with water (figure 7F and online supplemental figure 9A), as indicated by the H&E staining of the colon and tumour weight (figure 7G and H and online supplemental figure 9B). Using the organoid models generated from the MC38-derived tumours, we find that knockdown of RALY by treatment with doxycycline could significantly inhibit the growth of the organoids (figure 7I, J), and induced apoptosis in the organoid (figure 7K). To verify whether the inhibitory effect by RALY in vivo is mediated by RALY-dependent miRNAs, we overexpressed miR-676 in the RALY-knockdown HCT116 cells. Notably, overexpression of miR-676 in the RALY-knockdown HCT116 cells partly rescued xenograft tumour growth (figure 7L–N), and suppressed the expression of ATP5I in comparison with the RALY-knockdown xenograft tumours, as indicated by immunohistochemistry (IHC) and Western blotting assays (figure 7O–Q and online supplemental figure 9C).
Figure 7

Depletion of RALY inhibits tumour growth in vivo and in the CRC organoid model. (A) Depletion of RALY by Dox administration suppressed tumour growth in MC38 cells derived xenografts. (B) Validation of RALY and ATP5I expression level in inducible knockdown of RALY in MC38 cells derived xenografts by Western blotting. (C) Downregulation of miR-676 was validated in RALY-knockdown MC38 xenografts. (D, E) Tumour growth curve (D) and tumour weight (E) of MC38 cells derived xenografts treated with Dox. (F–H) Tumour images of orthotopic xenograft mice model (F) and H&E staining of LOVO tumour and pericarcinomatous tissue (G). Tumour weight of orthotopic xenograft is shown (H). (I, J) DOX-induced knockdown of RALY suppressed growth of MC38-derived tumour organoids (I). Quantification of size of organoids is shown (J). (K) DOX-induced knockdown of RALY induced apoptosis of MC38-derived tumour organoids. (L) Overexpression of miR-676 rescued tumour growth in RALY-knockdown HCT116 cells derived xenografts. (M, N) Tumour growth curve (M) and tumour weight (N) of RALY-knockdown HCT116 cells derived xenografts treated with overexpression of miR-676. (O–Q) Validation of RALY, ATP5I and miR-676 expression level in knockdown of RALY by overexpression of miR-676 in HCT116 cells derived xenografts by Western blotting (O), RT-PCR (P) and IHC (Q). Data information: in all relevant panels, ***p<0.001; ****p<0.0001; two-tailed t-test. Data are presented as mean ± SD. CRC, colorectal cancer; IHC, immunohistochemistry.

Depletion of RALY inhibits tumour growth in vivo and in the CRC organoid model. (A) Depletion of RALY by Dox administration suppressed tumour growth in MC38 cells derived xenografts. (B) Validation of RALY and ATP5I expression level in inducible knockdown of RALY in MC38 cells derived xenografts by Western blotting. (C) Downregulation of miR-676 was validated in RALY-knockdown MC38 xenografts. (D, E) Tumour growth curve (D) and tumour weight (E) of MC38 cells derived xenografts treated with Dox. (F–H) Tumour images of orthotopic xenograft mice model (F) and H&E staining of LOVO tumour and pericarcinomatous tissue (G). Tumour weight of orthotopic xenograft is shown (H). (I, J) DOX-induced knockdown of RALY suppressed growth of MC38-derived tumour organoids (I). Quantification of size of organoids is shown (J). (K) DOX-induced knockdown of RALY induced apoptosis of MC38-derived tumour organoids. (L) Overexpression of miR-676 rescued tumour growth in RALY-knockdown HCT116 cells derived xenografts. (M, N) Tumour growth curve (M) and tumour weight (N) of RALY-knockdown HCT116 cells derived xenografts treated with overexpression of miR-676. (O–Q) Validation of RALY, ATP5I and miR-676 expression level in knockdown of RALY by overexpression of miR-676 in HCT116 cells derived xenografts by Western blotting (O), RT-PCR (P) and IHC (Q). Data information: in all relevant panels, ***p<0.001; ****p<0.0001; two-tailed t-test. Data are presented as mean ± SD. CRC, colorectal cancer; IHC, immunohistochemistry. Further, we generated CRC patient-derived xenograft (PDX) models and depleted RALY expression by using RNAi and nano-gold particle delivery tools (figure 8A). We employed two treatment strategies for the PDX models. The first was to administrate with the RNAi regimen on the second day after the tumours were embedded, while the second was to administrate with the RNAi regimen on the 20th day when the tumours regained growth to the size of 100 mm3. Our results show that both treatment strategies led to significantly reduced tumour growth (figure 8B–D) and induced the expression of ATP5I, as indicated by the H&E and IHC staining assays (figure 8E, F). We also established the patient-derived organoid (PDO) models from fresh CRC patient tumours. Treatment with siRALY dramatically reduced the organoid viability and made it vulnerable in shape and membrane permeability (figure 8G, H), and induced apoptosis phenotype in the model (figure 8I). To determine whether various levels of RALY would affect the therapeutic effects of siRNA treatments, we select 3 CRC patient tissues with various levels of RALY (online supplemental figure 10A). Targeting RALY by siRNAs in CRC tissue with high level of RALY achieved the maximal inhibitory effects on tumour growth in both PDO model and PDX model, while it also showed effective inhibition of tumour growth in CRC tissues with normal or low level of RALY (online supplemental figure 10B-E).
Figure 8

RRALY serves as a potential therapeutic target in CRC. (A) Schematic diagram of human CRC PDX mouse model based RALY siRNA treatment regimen. CTAB-nano-gold siRNA particles are generated as indicated. (B–D) Gross tumour images (B), tumour growth curve (C), and tumour weight (D) of PDX model treated with nano-gold siCTRL and nano-gold siRALY with two administration strategies as indicated. The nano-gold particles (20 mg/kg) were administrated every 3 days for 3 weeks. (E, F) H&E and IHC images of PDX tumours (E) and quantification of RALY and ATP5I expression was analysed in IHC images by Image Pro Plus (IPP) analysis (F). (G) Knockdown of RALY by siRNA suppressed growth of CRC patient-derived tumour organoids. (H) H&E images of CRC patient-derived tumour organoids treated with RALY siRNAs. (I) Knockdown of RALY by siRNA induced apoptosis of CRC patient-derived tumour organoids. (J) Down-regulation of ATP5I, ATP5G1, ATP5G3 and CYC1 are significantly associated with shorter overall survival rates in CRC patients. Data information: in all relevant panels, *p<0.05; **p<0.01; two-tailed t-test. Data are presented as mean±SD. CRC, colorectal cancer PDX, patient-derived xenograft.

RRALY serves as a potential therapeutic target in CRC. (A) Schematic diagram of human CRC PDX mouse model based RALY siRNA treatment regimen. CTAB-nano-gold siRNA particles are generated as indicated. (B–D) Gross tumour images (B), tumour growth curve (C), and tumour weight (D) of PDX model treated with nano-gold siCTRL and nano-gold siRALY with two administration strategies as indicated. The nano-gold particles (20 mg/kg) were administrated every 3 days for 3 weeks. (E, F) H&E and IHC images of PDX tumours (E) and quantification of RALY and ATP5I expression was analysed in IHC images by Image Pro Plus (IPP) analysis (F). (G) Knockdown of RALY by siRNA suppressed growth of CRC patient-derived tumour organoids. (H) H&E images of CRC patient-derived tumour organoids treated with RALY siRNAs. (I) Knockdown of RALY by siRNA induced apoptosis of CRC patient-derived tumour organoids. (J) Down-regulation of ATP5I, ATP5G1, ATP5G3 and CYC1 are significantly associated with shorter overall survival rates in CRC patients. Data information: in all relevant panels, *p<0.05; **p<0.01; two-tailed t-test. Data are presented as mean±SD. CRC, colorectal cancer PDX, patient-derived xenograft. In analysis of clinical database (TCGA-COAD), the expression levels of RALY and METTL3 are significantly higher in tumours compared with normal tissues, while the levels of ATP5I, ATP5G1 and ATP5G3 are significantly lower in tumours (online supplemental figure 11A). Lower expression levels of these ETC genes indicate poorer clinical outcome for CRC patients (figure 8J). Further, we showed the positive correlation between RALY and its dependent miRNAs in CRC clinical samples from various CRC datasets (online supplemental figure 11BC) and (online supplemental table 4). Higher expression level of miR-877 and miR-483 shows significant poorer clinical outcome for CRC patients, which is consistent with higher expression level of RALY (online supplemental figure 11DE). Collectively, these results suggest that RALY promotes tumour growth in vivo and in the organoid models, highlighting its role as a potential therapeutic target in CRC.

Discussion

Systematic analysis of genome-wide miRNA expression profiles indicates that aberrant miRNA expression contributes to cellular transformation and tumour progression.36 37 The stem-loop structure of miRNA was found to be critical for the Drosha-mediated cleavage.38 39 Current studies, including ours, have shown that RNA-binding proteins confer the specificity for recruiting and processing individual miRNAs.34 40–43 A growing list of RNA-binding proteins identified from the Drosha microprocessor complex is the members of the heterogeneous nuclear ribonucleoprotein family, including hnRNPA1, hnRNPA2B1, hnRNPK and hnRNPL.34 43–45 In this study, we identify a novel member of hnRNP, RALY, which is highly associated with CRC stages and aggressiveness, interacts with the Drosha complex and promotes the expression of a subset of miRNAs including miR-483, miR-676 and miR-877. Previously miR-483 was reported to be involved in initiation and invasion of several cancers.46–48 We show that these RALY-dependent miRNAs downregulate the ETC genes, ATP5I, ATP5G1, ATP5G3 and CYC1, and mediate reprogramming of mitochondrial metabolism in CRC cells, which provides the functional link between epigenetic regulation and mitochondrial metabolism. Our results demonstrate that inhibition of RALY abolishes ATP production, induces ROS level and increases the NAD+/NADH ratio in CRC cells, while overexpression of miR-483, miR-676 and miR-877 in the RALY-depleted cells could rescue the metabolic phenotype. We further knocked down the related ETC genes in RALY-depleted cells and validated that the metabolism-centric effects of RALY in OXPHOS are mainly mediated by these ETC genes (figure 9).
Figure 9

Working model. RALY is amplified in most CRC cells. Overexpressed RALY recruits to Drosha/DGCR8 complexes and promotes a subset of miRNAs processing by the m6a switch. The upregulated miRNAs inhibit oxidative phosphorylation (OXPHOS) by targeting key players in the mitochondrial respiration, leading to cell proliferation in CRC with RALY overexpression. CRC, colorectal cancer.

Working model. RALY is amplified in most CRC cells. Overexpressed RALY recruits to Drosha/DGCR8 complexes and promotes a subset of miRNAs processing by the m6a switch. The upregulated miRNAs inhibit oxidative phosphorylation (OXPHOS) by targeting key players in the mitochondrial respiration, leading to cell proliferation in CRC with RALY overexpression. CRC, colorectal cancer. Recently, N6-methyladenosine modification has been shown as critical post-transcriptional regulation for gene expression in tumour development, and plays important roles in RNA splicing and degradation.49–52 Previous studies reported that hnRNP proteins promoted some miRNAs processing by recognising the m6A-modified pri-miRNAs transcripts.32–34 As a member of the hnRNPC subfamily, RALY is now found to recognise the terminal loop region of pri-miR-877 with m6A modification, and facilitate the binding of pri-miR-877 to the microprocessor complex, thus promoting its processing. Knockdown of METTL3, a primary m6A methylase, abolishes the upregulation of RALY-dependent miRNAs, and in part affects the RALY-mediated mitochondrial metabolism in CRC cells. Whether RALY acts as a direct m6A reader or modulates the miRNA processing through the m6A switch raised an intriguing question. Previously, hnRNPA2B1 was reported as a direct m6A reader to promote some miRNAs processing.34 However, subsequent structure analysis suggested that hnRNPA2B1 may promote pri-miRNAs processing through the m6A switch instead of acting as a direct m6A reader.53 Of note, hnRNPC was reported to modulate alternative splicing and binding activities of target RNAs through the m6A-switch-regulated mode to gain the abundance of gene expression.33 For RALY, we performed RNA pull-down assay with methylated oligonucleotides and found that the functional m6A site locates at the terminal loop region of pri-miR-877, adjacent to the RALY-binding motif, indicating that RALY may mediate pri-miRNA processing through the m6A switch mode. Combinational therapy with BACH1 and ETC inhibitors showed favourable therapeutic effects in triple-negative breast cancer.11 Similarly, we demonstrate that RALY is required for the metastasis of aggressive CRC, and its gene expression is highly associated with poor clinical outcomes. Similar to BACH1, RALY functions as a negative regulator to regulate expression of the ETC genes and reprogramme mitochondrial metabolism, suggesting that it may be a promising target for cancer therapy. Inhibition of RALY sensitised resistant CRC cells to oxaliplatin.54 In terms of translational development, we developed a core-shell nano-gold platform for delivering in vivo optimised RALY siRNA to target RALY as our previous ‘nano-bomb’ platform.55 By using human PDX model and PDO model from clinical patient samples, we validated the significance of targeting the RALY-miRNAs-mediated mitochondrial metabolism axis with our nano-gold technology in CRC therapy. Taken together, our study not only reveals a crucial metabolism-centric role of RALY in reprogramming OXPHOS mediated by the m6A switch, but also highlights a potential therapeutic target in CRC.
  55 in total

1.  Another "loophole" in miRNA processing.

Authors:  Sarah Bajan; Gyorgy Hutvagner
Journal:  Mol Cell       Date:  2011-11-04       Impact factor: 17.970

2.  Oncogenic role of miR-483-3p at the IGF2/483 locus.

Authors:  Angelo Veronese; Laura Lupini; Jessica Consiglio; Rosa Visone; Manuela Ferracin; Francesca Fornari; Nicola Zanesi; Hansjuerg Alder; Gemma D'Elia; Laura Gramantieri; Luigi Bolondi; Giovanni Lanza; Patrizia Querzoli; Adriano Angioni; Carlo M Croce; Massimo Negrini
Journal:  Cancer Res       Date:  2010-04-13       Impact factor: 12.701

3.  The Microprocessor complex mediates the genesis of microRNAs.

Authors:  Richard I Gregory; Kai-Ping Yan; Govindasamy Amuthan; Thimmaiah Chendrimada; Behzad Doratotaj; Neil Cooch; Ramin Shiekhattar
Journal:  Nature       Date:  2004-11-07       Impact factor: 49.962

4.  Gene regulation by transcription factors and microRNAs.

Authors:  Oliver Hobert
Journal:  Science       Date:  2008-03-28       Impact factor: 47.728

5.  Obesity-induced overexpression of miRNA-143 inhibits insulin-stimulated AKT activation and impairs glucose metabolism.

Authors:  Sabine D Jordan; Markus Krüger; Diana M Willmes; Nora Redemann; F Thomas Wunderlich; Hella S Brönneke; Carsten Merkwirth; Hamid Kashkar; Vesa M Olkkonen; Thomas Böttger; Thomas Braun; Jost Seibler; Jens C Brüning
Journal:  Nat Cell Biol       Date:  2011-03-27       Impact factor: 28.824

Review 6.  miRNA targeting and alternative splicing in the stress response - events hosted by membrane-less compartments.

Authors:  Mariya M Kucherenko; Halyna R Shcherbata
Journal:  J Cell Sci       Date:  2018-02-14       Impact factor: 5.285

7.  Impaired microRNA processing enhances cellular transformation and tumorigenesis.

Authors:  Madhu S Kumar; Jun Lu; Kim L Mercer; Todd R Golub; Tyler Jacks
Journal:  Nat Genet       Date:  2007-04-01       Impact factor: 38.330

8.  MicroRNA expression profiles classify human cancers.

Authors:  Jun Lu; Gad Getz; Eric A Miska; Ezequiel Alvarez-Saavedra; Justin Lamb; David Peck; Alejandro Sweet-Cordero; Benjamin L Ebert; Raymond H Mak; Adolfo A Ferrando; James R Downing; Tyler Jacks; H Robert Horvitz; Todd R Golub
Journal:  Nature       Date:  2005-06-09       Impact factor: 49.962

9.  c-Myc suppression of miR-23a/b enhances mitochondrial glutaminase expression and glutamine metabolism.

Authors:  Ping Gao; Irina Tchernyshyov; Tsung-Cheng Chang; Yun-Sil Lee; Kayoko Kita; Takafumi Ochi; Karen I Zeller; Angelo M De Marzo; Jennifer E Van Eyk; Joshua T Mendell; Chi V Dang
Journal:  Nature       Date:  2009-02-15       Impact factor: 49.962

10.  Comprehensive molecular characterization of human colon and rectal cancer.

Authors: 
Journal:  Nature       Date:  2012-07-18       Impact factor: 49.962

View more
  20 in total

1.  The m6A demethylase FTO promotes the osteogenesis of mesenchymal stem cells by downregulating PPARG.

Authors:  Liu-Shan Chen; Meng Zhang; Peng Chen; Xiao-Feng Xiong; Pei-Qing Liu; Hai-Bin Wang; Jun-Jian Wang; Juan Shen
Journal:  Acta Pharmacol Sin       Date:  2021-08-30       Impact factor: 7.169

2.  Proteomic profiling of plasma exosomes from patients with B-cell acute lymphoblastic leukemia.

Authors:  Shicong Zhu; Cheng Xing; Ruijuan Li; Zhao Cheng; Mingyang Deng; Yunya Luo; Heng Li; Guangsen Zhang; Yue Sheng; Hongling Peng; Zhihua Wang
Journal:  Sci Rep       Date:  2022-07-13       Impact factor: 4.996

Review 3.  Crosstalk among m6A RNA methylation, hypoxia and metabolic reprogramming in TME: from immunosuppressive microenvironment to clinical application.

Authors:  Fusheng Zhang; Haiyang Liu; Meiqi Duan; Guang Wang; Zhenghou Zhang; Yutian Wang; Yiping Qian; Zhi Yang; Xiaofeng Jiang
Journal:  J Hematol Oncol       Date:  2022-07-06       Impact factor: 23.168

Review 4.  COVID-19-associated liver injury: from bedside to bench.

Authors:  Dongxiao Li; Xiangming Ding; Meng Xie; Dean Tian; Limin Xia
Journal:  J Gastroenterol       Date:  2021-02-01       Impact factor: 7.527

Review 5.  The crucial roles of N6-methyladenosine (m6A) modification in the carcinogenesis and progression of colorectal cancer.

Authors:  Zhihao Fang; Yiqiu Hu; Jinhui Hu; Yanqin Huang; Shu Zheng; Cheng Guo
Journal:  Cell Biosci       Date:  2021-04-09       Impact factor: 7.133

6.  Comprehensive Analysis of the Prognostic Role and Mutational Characteristics of m6A-Related Genes in Lung Squamous Cell Carcinoma.

Authors:  Chang Gu; Xin Shi; Wenli Qiu; Zhenyu Huang; Yan Yu; Feng Shen; Yumei Chen; Xufeng Pan
Journal:  Front Cell Dev Biol       Date:  2021-03-25

Review 7.  The Interaction Between N6-Methyladenosine Modification and Non-Coding RNAs in Gastrointestinal Tract Cancers.

Authors:  Lin Yao; Chang-Feng Man; Rong He; Lian He; Jia-Bin Huang; Shou-Yan Xiang; Zhe Dai; Xiao-Yan Wang; Yu Fan
Journal:  Front Oncol       Date:  2022-01-07       Impact factor: 6.244

Review 8.  Cross-Talk between Oxidative Stress and m6A RNA Methylation in Cancer.

Authors:  Baishuang Yang; Qiong Chen
Journal:  Oxid Med Cell Longev       Date:  2021-08-24       Impact factor: 6.543

Review 9.  Interplay of RNA-Binding Proteins and microRNAs in Neurodegenerative Diseases.

Authors:  Chisato Kinoshita; Noriko Kubota; Koji Aoyama
Journal:  Int J Mol Sci       Date:  2021-05-18       Impact factor: 5.923

Review 10.  The Emerging Clinical Application of m6A RNA Modification in Inflammatory Bowel Disease and Its Associated Colorectal Cancer.

Authors:  Xinwei Xu; Jintu Huang; Dickson Kofi Wiredu Ocansey; Yuxuan Xia; Zihan Zhao; Zhiwei Xu; Yongmin Yan; Xu Zhang; Fei Mao
Journal:  J Inflamm Res       Date:  2021-07-15
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.