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Piao W, Li C, Sun P, Yang M, Ding Y, Song W, Jia Y, Yu L, Lu Y, Jin H. Identification of RNA-Binding Protein Targets with HyperTRIBE in Saccharomyces cerevisiae. Int J Mol Sci 2023; 24:ijms24109033. [PMID: 37240377 DOI: 10.3390/ijms24109033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Revised: 05/17/2023] [Accepted: 05/18/2023] [Indexed: 05/28/2023] Open
Abstract
As a master regulator in cells, RNA-binding protein (RBP) plays critical roles in organismal development, metabolism and various diseases. It regulates gene expression at various levels mostly by specific recognition of target RNA. The traditional CLIP-seq method to detect transcriptome-wide RNA targets of RBP is less efficient in yeast due to the low UV transmissivity of their cell walls. Here, we established an efficient HyperTRIBE (Targets of RNA-binding proteins Identified By Editing) in yeast, by fusing an RBP to the hyper-active catalytic domain of human RNA editing enzyme ADAR2 and expressing the fusion protein in yeast cells. The target transcripts of RBP were marked with new RNA editing events and identified by high-throughput sequencing. We successfully applied HyperTRIBE to identifying the RNA targets of two yeast RBPs, KHD1 and BFR1. The antibody-free HyperTRIBE has competitive advantages including a low background, high sensitivity and reproducibility, as well as a simple library preparation procedure, providing a reliable strategy for RBP target identification in Saccharomyces cerevisiae.
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Affiliation(s)
- Weilan Piao
- Key Laboratory of Molecular Medicine and Biotherapy, School of Life Science, Beijing Institute of Technology, No. 5 South Zhongguancun Street, Beijing 100081, China
| | - Chong Li
- Key Laboratory of Molecular Medicine and Biotherapy, School of Life Science, Beijing Institute of Technology, No. 5 South Zhongguancun Street, Beijing 100081, China
| | - Pengkun Sun
- Key Laboratory of Molecular Medicine and Biotherapy, School of Life Science, Beijing Institute of Technology, No. 5 South Zhongguancun Street, Beijing 100081, China
| | - Miaomiao Yang
- Key Laboratory of Molecular Medicine and Biotherapy, School of Life Science, Beijing Institute of Technology, No. 5 South Zhongguancun Street, Beijing 100081, China
| | - Yansong Ding
- Key Laboratory of Molecular Medicine and Biotherapy, School of Life Science, Beijing Institute of Technology, No. 5 South Zhongguancun Street, Beijing 100081, China
| | - Wei Song
- Key Laboratory of Molecular Medicine and Biotherapy, School of Life Science, Beijing Institute of Technology, No. 5 South Zhongguancun Street, Beijing 100081, China
| | - Yunxiao Jia
- Key Laboratory of Molecular Medicine and Biotherapy, School of Life Science, Beijing Institute of Technology, No. 5 South Zhongguancun Street, Beijing 100081, China
| | - Liqun Yu
- Key Laboratory of Molecular Medicine and Biotherapy, School of Life Science, Beijing Institute of Technology, No. 5 South Zhongguancun Street, Beijing 100081, China
| | - Yanming Lu
- Key Laboratory of Molecular Medicine and Biotherapy, School of Life Science, Beijing Institute of Technology, No. 5 South Zhongguancun Street, Beijing 100081, China
| | - Hua Jin
- Key Laboratory of Molecular Medicine and Biotherapy, School of Life Science, Beijing Institute of Technology, No. 5 South Zhongguancun Street, Beijing 100081, China
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202
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Liu H, Zhu Y, Ng KTP, Lo CM, Man K. The Landscape of Aberrant Alternative Splicing Events in Steatotic Liver Graft Post Transplantation via Transcriptome-Wide Analysis. Int J Mol Sci 2023; 24:ijms24098216. [PMID: 37175922 PMCID: PMC10179559 DOI: 10.3390/ijms24098216] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2023] [Revised: 03/28/2023] [Accepted: 04/03/2023] [Indexed: 05/15/2023] Open
Abstract
The application of steatotic liver graft has been increased significantly due to the severe donor shortage and prevalence of non-alcoholic fatty liver disease. However, steatotic donor livers are vulnerable to acute phase inflammatory injury, which may result in cancer recurrence. Alternative splicing events (ASEs) are critical for diverse transcriptional variants in hepatocellular carcinoma (HCC). Here, we aimed to depict the landscape of ASEs, as well as to identify the differential ASEs in steatotic liver graft and their association with tumor recurrence after transplantation. The overall portrait of intragraft transcripts and ASEs were elucidated through RNA sequencing with the liver graft biopsies from patients and rat transplant models. Various differential ASEs were identified in steatotic liver grafts. CYP2E1, ADH1A, CYP2C8, ADH1C, and HGD, as corresponding genes to the common pathways involved differential ASEs in human and rats, were significantly associated with HCC patients' survival. The differential ASEs related RNA-binding proteins (RBPs) were enriched in metabolic pathways. The altered immune cell distribution, particularly macrophages and neutrophils, were perturbated by differential ASEs. The cancer hallmarks were enriched in steatotic liver grafts and closely associated with differential ASEs. Our work identified the differential ASE network with metabolic RBPs, immune cell distribution, and cancer hallmarks in steatotic liver grafts. We verified the link between steatotic liver graft injury and tumor recurrence at post-transcriptional level, offered new evidence to explore metabolism and immune responses, and provided the potential prognostic and therapeutic markers for tumor recurrence.
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Affiliation(s)
- Hui Liu
- Department of Surgery, School of Clinical Medicine, HKU-SZH & LKS Faculty of Medicine, The University of Hong Kong, Hong Kong, China
- Department of Pathophysiology, Key Laboratory of Cell Differentiation and Apoptosis of the Chinese Ministry of Education, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Yueqin Zhu
- Department of Surgery, School of Clinical Medicine, HKU-SZH & LKS Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Kevin Tak-Pan Ng
- Department of Surgery, School of Clinical Medicine, HKU-SZH & LKS Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Chung-Mau Lo
- Department of Surgery, School of Clinical Medicine, HKU-SZH & LKS Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Kwan Man
- Department of Surgery, School of Clinical Medicine, HKU-SZH & LKS Faculty of Medicine, The University of Hong Kong, Hong Kong, China
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203
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Vujovic A, de Rooij L, Chahi AK, Chen HT, Yee BA, Loganathan SK, Liu L, Chan DC, Tajik A, Tsao E, Moreira S, Joshi P, Xu J, Wong N, Balde Z, Jahangiri S, Zandi S, Aigner S, Dick JE, Minden MD, Schramek D, Yeo GW, Hope KJ. In Vivo Screening Unveils Pervasive RNA-Binding Protein Dependencies in Leukemic Stem Cells and Identifies ELAVL1 as a Therapeutic Target. Blood Cancer Discov 2023; 4:180-207. [PMID: 36763002 PMCID: PMC10150294 DOI: 10.1158/2643-3230.bcd-22-0086] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2022] [Revised: 11/30/2022] [Accepted: 02/06/2023] [Indexed: 02/11/2023] Open
Abstract
Acute myeloid leukemia (AML) is fueled by leukemic stem cells (LSC) whose determinants are challenging to discern from hematopoietic stem cells (HSC) or uncover by approaches focused on general cell properties. We have identified a set of RNA-binding proteins (RBP) selectively enriched in human AML LSCs. Using an in vivo two-step CRISPR-Cas9 screen to assay stem cell functionality, we found 32 RBPs essential for LSCs in MLL-AF9;NrasG12D AML. Loss-of-function approaches targeting key hit RBP ELAVL1 compromised LSC-driven in vivo leukemic reconstitution, and selectively depleted primitive malignant versus healthy cells. Integrative multiomics revealed differentiation, splicing, and mitochondrial metabolism as key features defining the leukemic ELAVL1-mRNA interactome with mitochondrial import protein, TOMM34, being a direct ELAVL1-stabilized target whose repression impairs AML propagation. Altogether, using a stem cell-adapted in vivo CRISPR screen, this work demonstrates pervasive reliance on RBPs as regulators of LSCs and highlights their potential as therapeutic targets in AML. SIGNIFICANCE LSC-targeted therapies remain a significant unmet need in AML. We developed a stem-cell-adapted in vivo CRISPR screen to identify key LSC drivers. We uncover widespread RNA-binding protein dependencies in LSCs, including ELAVL1, which we identify as a novel therapeutic vulnerability through its regulation of mitochondrial metabolism. This article is highlighted in the In This Issue feature, p. 171.
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Affiliation(s)
- Ana Vujovic
- Department of Biochemistry and Biomedical Sciences, McMaster University, Hamilton, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, Canada
- Princess Margaret Cancer Centre, University Health Network, Toronto, Canada
| | - Laura de Rooij
- Department of Biochemistry and Biomedical Sciences, McMaster University, Hamilton, Canada
| | - Ava Keyvani Chahi
- Department of Biochemistry and Biomedical Sciences, McMaster University, Hamilton, Canada
| | - He Tian Chen
- Department of Biochemistry and Biomedical Sciences, McMaster University, Hamilton, Canada
| | - Brian A. Yee
- Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, California
| | - Sampath K. Loganathan
- Centre for Molecular and Systems Biology, Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, Canada
| | - Lina Liu
- Department of Biochemistry and Biomedical Sciences, McMaster University, Hamilton, Canada
- Princess Margaret Cancer Centre, University Health Network, Toronto, Canada
| | - Derek C.H. Chan
- Department of Biochemistry and Biomedical Sciences, McMaster University, Hamilton, Canada
| | - Amanda Tajik
- Department of Biochemistry and Biomedical Sciences, McMaster University, Hamilton, Canada
| | - Emily Tsao
- Department of Medical Biophysics, University of Toronto, Toronto, Canada
- Princess Margaret Cancer Centre, University Health Network, Toronto, Canada
| | - Steven Moreira
- Princess Margaret Cancer Centre, University Health Network, Toronto, Canada
| | - Pratik Joshi
- Department of Medical Biophysics, University of Toronto, Toronto, Canada
- Princess Margaret Cancer Centre, University Health Network, Toronto, Canada
| | - Joshua Xu
- Department of Biochemistry and Biomedical Sciences, McMaster University, Hamilton, Canada
| | - Nicholas Wong
- Department of Biochemistry and Biomedical Sciences, McMaster University, Hamilton, Canada
- Princess Margaret Cancer Centre, University Health Network, Toronto, Canada
| | - Zaldy Balde
- Princess Margaret Cancer Centre, University Health Network, Toronto, Canada
| | - Soheil Jahangiri
- Princess Margaret Cancer Centre, University Health Network, Toronto, Canada
| | - Sasan Zandi
- Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, Canada
| | - Stefan Aigner
- Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, California
| | - John E. Dick
- Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, Canada
| | - Mark D. Minden
- Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Canada
- Faculty of Medicine, University of Toronto, Toronto, Canada
| | - Daniel Schramek
- Centre for Molecular and Systems Biology, Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, Canada
| | - Gene W. Yeo
- Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, California
| | - Kristin J. Hope
- Department of Biochemistry and Biomedical Sciences, McMaster University, Hamilton, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, Canada
- Princess Margaret Cancer Centre, University Health Network, Toronto, Canada
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204
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Du Y, Liu G, Chen D, Yang J, Wang J, Sun Y, Zhang Q, Liu Y. NQO1 regulates expression and alternative splicing of apoptotic genes associated with Alzheimer's disease in PC12 cells. Brain Behav 2023; 13:e2917. [PMID: 37002649 PMCID: PMC10175992 DOI: 10.1002/brb3.2917] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/22/2021] [Revised: 02/10/2022] [Accepted: 01/29/2023] [Indexed: 05/13/2023] Open
Abstract
PURPOSE Alzheimer's disease (AD) is a neurodegenerative disorder characterized by progressive memory loss and cognitive dysfunction. Quinone oxidoreductase 1 (NQO1) is an antioxidant enzyme that plays an important role in controlling cellular redox state, whose expression is altered in the brain tissues of AD patients. In addition to its traditional antioxidant effects, NQO1 also acts as a multifunctional RNA-binding protein involved in posttranscriptional regulation. Whether the RNA-binding activity of NQO1 influences AD pathology has not been investigated yet. METHODS The RNA-binding functions of NQO1 in rat pheochromocytoma (PC12) cells were investigated using siRNA knockdown followed by total RNA sequencing. Reverse transcription quantitative polymerase chain reaction was performed to explore the impact of NQO1 on the transcription and alternative splicing of apoptotic genes. RESULTS NQO1 knockdown led to a significant increase in cellular apoptosis. Genes involved in certain apoptosis pathways, such as positive regulation of apoptotic processes and mitogen-activated protein kinase signaling, were under global transcriptional and alternative splicing regulation. NQO1 regulated the transcription of apoptotic genes Cryab, Lgmn, Ngf, Apoe, Brd7, and Stat3, as well as the alternative splicing of apoptotic genes BIN1, Picalm, and Fyn. CONCLUSION Our findings suggest that NQO1 participates in the pathology of AD by regulating the expression and alternative splicing of the genes involved in apoptosis. These results extend our understanding of NQO1 in apoptotic pathways at the posttranscriptional level in AD.
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Affiliation(s)
- Yingshi Du
- Section 1, Department of Geriatrics, The First Hospital of Lanzhou University, Lanzhou, China
| | - Gejing Liu
- Section 1, Department of Geriatrics, The First Hospital of Lanzhou University, Lanzhou, China
| | - Dong Chen
- Center for Genome Analysis, ABLife Inc., Wuhan, China
| | - Jinggang Yang
- Section 1, Department of Geriatrics, The First Hospital of Lanzhou University, Lanzhou, China
| | - Jing Wang
- Section 1, Department of Geriatrics, The First Hospital of Lanzhou University, Lanzhou, China
| | - Yue Sun
- Center for Genome Analysis, ABLife Inc., Wuhan, China
| | - Qian Zhang
- Center for Genome Analysis, ABLife Inc., Wuhan, China
| | - Yongming Liu
- Section 1, Department of Geriatrics, The First Hospital of Lanzhou University, Lanzhou, China
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205
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Peng F, Muhuitijiang B, Zhou J, Liang H, Zhang Y, Zhou R. An artificial neural network model to diagnose non-obstructive azoospermia based on RNA-binding protein-related genes. Aging (Albany NY) 2023; 15:3120-3140. [PMID: 37116198 PMCID: PMC10188335 DOI: 10.18632/aging.204674] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Accepted: 04/15/2023] [Indexed: 04/30/2023]
Abstract
Non-obstructive azoospermia (NOA) is a severe form of male infertility, but its pathological mechanisms and diagnostic biomarkers remain obscure. Since the dysregulation of RNA-binding proteins (RBPs) had nonnegligible effects on spermatogenesis, we aimed to investigate the functions and diagnosis values of RBPs in NOA. 58 testicular samples (control = 11, NOA = 47) from Gene Expression Omnibus (GEO) were set as the training cohort. Three public datasets, containing GSE45885 (control = 4, NOA = 27), GSE45887 (control = 4, NOA = 16), and GSE145467 (control = 10, NOA = 10), and 44 clinical samples from the local hospital (control = 27, NOA = 17) were used for validation. Through a series of bioinformatical analyses and machine learning algorithms, including genomic difference detection, protein-protein interaction network analysis, LASSO, SVM-RFE, and Boruta, DDX20 and NCBP2 were determined as significant predictors of NOA. Single-cell RNA sequencing of 432 testicular cell samples from NOA patients indicated that DDX20 and NCBP2 were associated with spermatogenesis (false discovery rate < 0.05). Based on the transcriptome expressions of DDX20 and NCBP2, we constructed multiple diagnosis models using logistic regression, random forest, and artificial neural network (ANN). The ANN model exhibited the most reliable predictive performance in the training cohort (AUC = 0.840), GSE45885 (AUC = 0.731), GSE45887 (AUC = 0.781), GSE145467 (AUC = 0.850), and local cohort (AUC = 0.623). Totally, an ANN diagnosis model based on RBP DDX20 and NCBP2 was developed and externally validated in NOA, functioning as a promising tool in clinical practice.
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Affiliation(s)
- Fan Peng
- Department of Urology, Baoan Central Hospital of Shen Zhen, Shenzhen 518102, China
| | - Bahaerguli Muhuitijiang
- Department of Urology, Nanfang Hospital, Southern Medical University, Guangzhou 510000, China
- The First School of Clinical Medicine, Southern Medical University, Guangzhou 510000, China
| | - Jiawei Zhou
- Department of Urology, Nanfang Hospital, Southern Medical University, Guangzhou 510000, China
- The First School of Clinical Medicine, Southern Medical University, Guangzhou 510000, China
| | - Haoyu Liang
- Department of Urology, The Third Affiliated Hospital, Southern Medical University, Guangzhou 510000, China
| | - Yu Zhang
- Department of Urology, Baoan Central Hospital of Shen Zhen, Shenzhen 518102, China
| | - Ranran Zhou
- Department of Urology, Baoan Central Hospital of Shen Zhen, Shenzhen 518102, China
- The First School of Clinical Medicine, Southern Medical University, Guangzhou 510000, China
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206
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Reis RS. Thermomorphogenesis: Opportunities and challenges in posttranscriptional regulation. JOURNAL OF EXPERIMENTAL BOTANY 2023:7134107. [PMID: 37082809 DOI: 10.1093/jxb/erad134] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/21/2022] [Indexed: 05/03/2023]
Abstract
Plants exposed to mildly elevated temperatures display morphological and developmental changes collectively termed thermomorphogenesis. This adaptative process has several undesirable consequences to food production, including yield reduction and increased vulnerability to pathogens. Understanding thermomorphogenesis is, thus, critical for understanding how plants will respond to increasingly warmer temperature conditions, such as those caused by climate change. Recently, we have made major advances in that direction, and it has become apparent that plants resource to a broad range of molecules and molecular mechanisms to perceive and respond to increases in environmental temperature. However, most of our efforts have been focused on regulation of transcription and protein abundance and activity, with an important gap encompassing nearly all processes involving RNA (i.e., posttranscriptional regulation). Here, I summarized our current knowledge of thermomorphogenesis involving transcriptional, posttranscriptional, and posttranslational regulation, focused on opportunities and challenges in understanding posttranscriptional regulation-a fertile field for exciting new discoveries.
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Affiliation(s)
- Rodrigo S Reis
- Institute of Plant Sciences, University of Bern, Altenbergrain 21, Bern, Switzerland
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207
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Popović B, Nicolet BP, Guislain A, Engels S, Jurgens AP, Paravinja N, Freen-van Heeren JJ, van Alphen FPJ, van den Biggelaar M, Salerno F, Wolkers MC. Time-dependent regulation of cytokine production by RNA binding proteins defines T cell effector function. Cell Rep 2023; 42:112419. [PMID: 37074914 DOI: 10.1016/j.celrep.2023.112419] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2022] [Revised: 02/26/2023] [Accepted: 04/04/2023] [Indexed: 04/20/2023] Open
Abstract
Potent T cell responses against infections and malignancies require a rapid yet tightly regulated production of toxic effector molecules. Their production level is defined by post-transcriptional events at 3' untranslated regions (3' UTRs). RNA binding proteins (RBPs) are key regulators in this process. With an RNA aptamer-based capture assay, we identify >130 RBPs interacting with IFNG, TNF, and IL2 3' UTRs in human T cells. RBP-RNA interactions show plasticity upon T cell activation. Furthermore, we uncover the intricate and time-dependent regulation of cytokine production by RBPs: whereas HuR supports early cytokine production, ZFP36L1, ATXN2L, and ZC3HAV1 dampen and shorten the production duration, each at different time points. Strikingly, even though ZFP36L1 deletion does not rescue the dysfunctional phenotype, tumor-infiltrating T cells produce more cytokines and cytotoxic molecules, resulting in superior anti-tumoral T cell responses. Our findings thus show that identifying RBP-RNA interactions reveals key modulators of T cell responses in health and disease.
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Affiliation(s)
- Branka Popović
- Department of Hematopoiesis, Sanquin Research, 1066 CX Amsterdam, the Netherlands; Landsteiner Laboratory, Amsterdam Immunity and Infection and Cancer Center Amsterdam, the Amsterdam University Medical Center, 1066 CX Amsterdam, the Netherlands; Oncode Institute, 3521 AL Utrecht, the Netherlands
| | - Benoît P Nicolet
- Department of Hematopoiesis, Sanquin Research, 1066 CX Amsterdam, the Netherlands; Landsteiner Laboratory, Amsterdam Immunity and Infection and Cancer Center Amsterdam, the Amsterdam University Medical Center, 1066 CX Amsterdam, the Netherlands; Oncode Institute, 3521 AL Utrecht, the Netherlands
| | - Aurélie Guislain
- Department of Hematopoiesis, Sanquin Research, 1066 CX Amsterdam, the Netherlands; Landsteiner Laboratory, Amsterdam Immunity and Infection and Cancer Center Amsterdam, the Amsterdam University Medical Center, 1066 CX Amsterdam, the Netherlands; Oncode Institute, 3521 AL Utrecht, the Netherlands
| | - Sander Engels
- Department of Hematopoiesis, Sanquin Research, 1066 CX Amsterdam, the Netherlands; Landsteiner Laboratory, Amsterdam Immunity and Infection and Cancer Center Amsterdam, the Amsterdam University Medical Center, 1066 CX Amsterdam, the Netherlands; Oncode Institute, 3521 AL Utrecht, the Netherlands
| | - Anouk P Jurgens
- Department of Hematopoiesis, Sanquin Research, 1066 CX Amsterdam, the Netherlands; Landsteiner Laboratory, Amsterdam Immunity and Infection and Cancer Center Amsterdam, the Amsterdam University Medical Center, 1066 CX Amsterdam, the Netherlands; Oncode Institute, 3521 AL Utrecht, the Netherlands
| | - Natali Paravinja
- Department of Hematopoiesis, Sanquin Research, 1066 CX Amsterdam, the Netherlands; Landsteiner Laboratory, Amsterdam Immunity and Infection and Cancer Center Amsterdam, the Amsterdam University Medical Center, 1066 CX Amsterdam, the Netherlands; Oncode Institute, 3521 AL Utrecht, the Netherlands
| | - Julian J Freen-van Heeren
- Department of Hematopoiesis, Sanquin Research, 1066 CX Amsterdam, the Netherlands; Landsteiner Laboratory, Amsterdam Immunity and Infection and Cancer Center Amsterdam, the Amsterdam University Medical Center, 1066 CX Amsterdam, the Netherlands; Oncode Institute, 3521 AL Utrecht, the Netherlands
| | - Floris P J van Alphen
- Department of Molecular Hematology, Sanquin Research, 1066 CX Amsterdam, the Netherlands
| | | | - Fiamma Salerno
- Department of Hematopoiesis, Sanquin Research, 1066 CX Amsterdam, the Netherlands; Landsteiner Laboratory, Amsterdam Immunity and Infection and Cancer Center Amsterdam, the Amsterdam University Medical Center, 1066 CX Amsterdam, the Netherlands; Oncode Institute, 3521 AL Utrecht, the Netherlands
| | - Monika C Wolkers
- Department of Hematopoiesis, Sanquin Research, 1066 CX Amsterdam, the Netherlands; Landsteiner Laboratory, Amsterdam Immunity and Infection and Cancer Center Amsterdam, the Amsterdam University Medical Center, 1066 CX Amsterdam, the Netherlands; Oncode Institute, 3521 AL Utrecht, the Netherlands.
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208
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Wu S, Xue Q, Qin X, Wu X, Kim P, Chyr J, Zhou X, Huang L. The Potential Regulation of A-to-I RNA Editing on Genes in Parkinson's Disease. Genes (Basel) 2023; 14:genes14040919. [PMID: 37107677 PMCID: PMC10137963 DOI: 10.3390/genes14040919] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2023] [Revised: 03/28/2023] [Accepted: 04/12/2023] [Indexed: 04/29/2023] Open
Abstract
Parkinson's disease (PD) is characterized by dopaminergic neurodegeneration and an abnormal accumulation of α-synuclein aggregates. A number of genetic factors have been shown to increase the risk of PD. Exploring the underlying molecular mechanisms that mediate PD's transcriptomic diversity can help us understand neurodegenerative pathogenesis. In this study, we identified 9897 A-to-I RNA editing events associated with 6286 genes across 372 PD patients. Of them, 72 RNA editing events altered miRNA binding sites and this may directly affect miRNA regulations of their host genes. However, RNA editing effects on the miRNA regulation of genes are more complex. They can (1) abolish existing miRNA binding sites, which allows miRNAs to regulate other genes; (2) create new miRNA binding sites that may sequester miRNAs from regulating other genes; or (3) occur in the miRNA seed regions and change their targets. The first two processes are also referred to as miRNA competitive binding. In our study, we found 8 RNA editing events that may alter the expression of 1146 other genes via miRNA competition. We also found one RNA editing event that modified a miRNA seed region, which was predicted to disturb the regulation of four genes. Considering the PD-related functions of the affected genes, 25 A-to-I RNA editing biomarkers for PD are proposed, including the 3 editing events in the EIF2AK2, APOL6, and miR-4477b seed regions. These biomarkers may alter the miRNA regulation of 133 PD-related genes. All these analyses reveal the potential mechanisms and regulations of RNA editing in PD pathogenesis.
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Affiliation(s)
- Sijia Wu
- School of Life Science and Technology, Xidian University, Xi'an 710071, China
| | - Qiuping Xue
- School of Life Science and Technology, Xidian University, Xi'an 710071, China
| | - Xinyu Qin
- School of Life Science and Technology, Xidian University, Xi'an 710071, China
| | - Xiaoming Wu
- School of Life Sciences and Technology, Xi'an Jiaotong University, Xi'an 710049, China
| | - Pora Kim
- Center for Computational Systems Medicine, School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Jacqueline Chyr
- Center for Computational Systems Medicine, School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Xiaobo Zhou
- Center for Computational Systems Medicine, School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Liyu Huang
- School of Life Science and Technology, Xidian University, Xi'an 710071, China
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209
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Wang H, Niu R, Zhou Y, Tang Z, Xu G, Zhou G. ECT9 condensates with ECT1 and regulates plant immunity. FRONTIERS IN PLANT SCIENCE 2023; 14:1140840. [PMID: 37113599 PMCID: PMC10126281 DOI: 10.3389/fpls.2023.1140840] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/09/2023] [Accepted: 03/28/2023] [Indexed: 06/19/2023]
Abstract
Mounting an efficient defense against pathogens requires RNA binding proteins (RBPs) to regulate immune mRNAs transcription, splicing, export, translation, storage, and degradation. RBPs often have multiple family members, raising the question of how they coordinate to carry out diverse cellular functions. In this study, we demonstrate that EVOLUTIONARILY CONSERVED C-TERMINAL REGION 9 (ECT9), a member of the YTH protein family in Arabidopsis, can condensate with its homolog ECT1 to control immune responses. Among the 13 YTH family members screened, only ECT9 can form condensates that decrease after salicylic acid (SA) treatment. While ECT1 alone cannot form condensates, it can be recruited to ECT9 condensates in vivo and in vitro. Notably, the ect1/9 double mutant, but not the single mutant, exhibits heightened immune responses to the avirulent pathogen. Our findings suggest that co-condensation is a mechanism by which RBP family members confer redundant functions.
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Affiliation(s)
- Hui Wang
- State Key Laboratory of Hybrid Rice, Institute for Advanced Studies (IAS), Wuhan University, Wuhan, Hubei, China
| | - Ruixia Niu
- State Key Laboratory of Hybrid Rice, Institute for Advanced Studies (IAS), Wuhan University, Wuhan, Hubei, China
| | - Yulu Zhou
- State Key Laboratory of Hybrid Rice, Institute for Advanced Studies (IAS), Wuhan University, Wuhan, Hubei, China
| | - Zhijuan Tang
- State Key Laboratory of Hybrid Rice, Institute for Advanced Studies (IAS), Wuhan University, Wuhan, Hubei, China
| | - Guoyong Xu
- State Key Laboratory of Hybrid Rice, Institute for Advanced Studies (IAS), Wuhan University, Wuhan, Hubei, China
- Hubei Hongshan Laboratory, Wuhan, Hubei, China
| | - Guilong Zhou
- State Key Laboratory of Hybrid Rice, Institute for Advanced Studies (IAS), Wuhan University, Wuhan, Hubei, China
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210
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Cai Y, Li N, Li H. YBX2 modulates mRNA stability via interaction with YTHDF2 in endometrial cancer cells. Exp Cell Res 2023; 427:113586. [PMID: 37030331 DOI: 10.1016/j.yexcr.2023.113586] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Revised: 04/01/2023] [Accepted: 04/02/2023] [Indexed: 04/10/2023]
Abstract
RNA-binding proteins (RBPs) fine-tune gene expression by modulating RNA stability, translation, and degradation. RBPs are involved in the development of endometrial cancer. In particular, Y-box binding protein 2 (YBX2), a germ cell-specific member of the YBX family, has been reported to maintain cancer stem cell-like phenotypes in endometrial cancer. However, the mechanism by which YBX2 modulates mRNA stability in endometrial cancer cells remains unknown. In this study, we examined the effects of the ectopic expression of YBX2 in endometrial adenocarcinoma-derived Ishikawa cells. We found that elevated levels of YBX2 delayed cell proliferation, without increasing cell apoptosis. Transcriptomic analysis revealed disturbances in gene expression caused by YBX2. Interestingly, heat shock protein family A (Hsp70) member 6 (HSPA6) levels were downregulated due to the reduced mRNA stability after YBX2 binding. YBX2 facilitated the formation of relatively stable cytoplasmic granules in tumor cells via its mRNA-binding domain. Moreover, N6-methyladenosine (m6A) reader proteins are recruited by YBX2 granules via the cold-shock domains. Notably, knockdown of YTH N6-methyladenosine RNA-binding protein F2 (YTHDF2), an m6A reader, ameliorated the reduction in HSPA6 mRNA levels induced by YBX2, indicating the synergistic effects of YBX2 and YTHDF2 on mRNA stability. Therefore, YBX2 regulates RNA stability by interacting with the m6A reader proteins.
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Affiliation(s)
- Ying Cai
- Institute of Reproductive Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Na Li
- Institute of Reproductive Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Huaibiao Li
- Institute of Reproductive Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
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211
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Bertoldo JB, Müller S, Hüttelmaier S. RNA-binding proteins in cancer drug discovery. Drug Discov Today 2023; 28:103580. [PMID: 37031812 DOI: 10.1016/j.drudis.2023.103580] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Revised: 03/25/2023] [Accepted: 03/29/2023] [Indexed: 04/11/2023]
Abstract
RNA-binding proteins (RBPs) are crucial players in tumorigenesis and, hence, promising targets in cancer drug discovery. However, they are largely regarded as 'undruggable', because of the often noncatalytic and complex interactions between protein and RNA, which limit the discovery of specific inhibitors. Nonetheless, over the past 10 years, drug discovery efforts have uncovered RBP inhibitors with clinical relevance, highlighting the disruption of RNA-protein networks as a promising avenue for cancer therapeutics. In this review, we discuss the role of structurally distinct RBPs in cancer, and the mechanisms of RBP-directed small-molecule inhibitors (SMOIs) focusing on drug-protein interactions, binding surfaces, potency, and translational potential. Additionally, we underline the limitations of RBP-targeting drug discovery assays and comment on future trends in the field.
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Affiliation(s)
- Jean B Bertoldo
- Children's Cancer Institute, Lowy Cancer Research Centre, UNSW Sydney, Sydney, NSW, Australia; School of Clinical Medicine, UNSW Sydney, Sydney, NSW, Australia
| | - Simon Müller
- Institute for Molecular Medicine, Faculty of Medicine, Martin-Luther University of Halle-Wittenberg, Halle (Saale), Germany; New York Genome Center, New York, NY, USA; Department of Biology, New York University, New York, NY, USA
| | - Stefan Hüttelmaier
- Institute for Molecular Medicine, Faculty of Medicine, Martin-Luther University of Halle-Wittenberg, Halle (Saale), Germany.
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212
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Yamoah A, Tripathi P, Guo H, Scheve L, Walter P, Johnen S, Müller F, Weis J, Goswami A. Early Alterations of RNA Binding Protein (RBP) Homeostasis and ER Stress-Mediated Autophagy Contributes to Progressive Retinal Degeneration in the rd10 Mouse Model of Retinitis Pigmentosa (RP). Cells 2023; 12:cells12071094. [PMID: 37048167 PMCID: PMC10092976 DOI: 10.3390/cells12071094] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Revised: 03/13/2023] [Accepted: 03/14/2023] [Indexed: 04/14/2023] Open
Abstract
The retinal degeneration 10 (rd10) mouse model is widely used to study retinitis pigmentosa (RP) pathomechanisms. It offers a rather unique opportunity to study trans-neuronal degeneration because the cell populations in question are separated anatomically and the mutated Pde6b gene is selectively expressed in rod photoreceptors. We hypothesized that RNA binding protein (RBP) aggregation and abnormal autophagy might serve as early pathogenic events, damaging non-photoreceptor retinal cell types that are not primarily targeted by the Pde6b gene defect. We used a combination of immunohistochemistry (DAB, immunofluorescence), electron microscopy (EM), subcellular fractionation, and Western blot analysis on the retinal preparations obtained from both rd10 and wild-type mice. We found early, robust increases in levels of the protective endoplasmic reticulum (ER) calcium (Ca2+) buffering chaperone Sigma receptor 1 (SigR1) together with other ER-Ca2+ buffering proteins in both photoreceptors and non-photoreceptor neuronal cells before any noticeable photoreceptor degeneration. In line with this, we found markedly altered expression of the autophagy proteins p62 and LC3, together with abnormal ER widening and large autophagic vacuoles as detected by EM. Interestingly, these changes were accompanied by early, prominent cytoplasmic and nuclear aggregation of the key RBPs including pTDP-43 and FET family RBPs and stress granule formation. We conclude that progressive neurodegeneration in the rd10 mouse retina is associated with early disturbances of proteostasis and autophagy, along with abnormal cytoplasmic RBP aggregation.
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Affiliation(s)
- Alfred Yamoah
- Institute of Neuropathology, University Hospital RWTH Aachen, 52074 Aachen, Germany
- EURON-European Graduate School of Neuroscience, Maastricht University, 6229 ER Maastricht, The Netherlands
| | - Priyanka Tripathi
- Institute of Neuropathology, University Hospital RWTH Aachen, 52074 Aachen, Germany
- EURON-European Graduate School of Neuroscience, Maastricht University, 6229 ER Maastricht, The Netherlands
| | - Haihong Guo
- Institute of Neuropathology, University Hospital RWTH Aachen, 52074 Aachen, Germany
| | - Leonie Scheve
- Institute of Neuropathology, University Hospital RWTH Aachen, 52074 Aachen, Germany
| | - Peter Walter
- Department of Ophthalmology, University Hospital RWTH Aachen, 52074 Aachen, Germany
| | - Sandra Johnen
- Department of Ophthalmology, University Hospital RWTH Aachen, 52074 Aachen, Germany
| | - Frank Müller
- Institute of Biological Information Processing, Molecular and Cellular Physiology, IBI-1, Forschungszentrum Jülich GmbH, 52425 Jülich, Germany
| | - Joachim Weis
- Institute of Neuropathology, University Hospital RWTH Aachen, 52074 Aachen, Germany
| | - Anand Goswami
- Institute of Neuropathology, University Hospital RWTH Aachen, 52074 Aachen, Germany
- Department of Neurology, Center for Motor Neuron Biology and Disease, Columbia University, New York, NY 10032, USA
- Department of Neurology, Eleanor and Lou Gehrig ALS Center, Columbia University, New York, NY 10032, USA
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213
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Abstract
Cardiovascular disease still remains the leading cause of morbidity and mortality worldwide. Current pharmacological or interventional treatments help to tackle symptoms and even reduce mortality, but cardiovascular disease cases continue to rise. The emergence of novel therapeutic strategies that precisely and efficiently combat cardiovascular disease is therefore deemed more essential than ever. RNA editing, the cell-intrinsic deamination of adenosine or cytidine RNA residues, changes the molecular identity of edited nucleotides, severely altering the fate of RNA molecules involved in key biological processes. The most common type of RNA editing is the deamination of adenosine residue to inosine (A-to-I), which is catalysed by adenosine deaminases acting on RNA (ADARs). Recent efforts have convincingly liaised RNA editing-based mechanisms to the pathophysiology of the cardiovascular system. In this review, we will briefly introduce the basic concepts of the RNA editing field of research. We will particularly focus our discussion on the therapeutic exploitation of RNA editing as a novel therapeutic tool as well as the future perspectives for its use in cardiovascular disease treatment.
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214
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Ray D, Laverty KU, Jolma A, Nie K, Samson R, Pour SE, Tam CL, von Krosigk N, Nabeel-Shah S, Albu M, Zheng H, Perron G, Lee H, Najafabadi H, Blencowe B, Greenblatt J, Morris Q, Hughes TR. RNA-binding proteins that lack canonical RNA-binding domains are rarely sequence-specific. Sci Rep 2023; 13:5238. [PMID: 37002329 PMCID: PMC10066285 DOI: 10.1038/s41598-023-32245-9] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2022] [Accepted: 03/23/2023] [Indexed: 04/03/2023] Open
Abstract
Thousands of RNA-binding proteins (RBPs) crosslink to cellular mRNA. Among these are numerous unconventional RBPs (ucRBPs)-proteins that associate with RNA but lack known RNA-binding domains (RBDs). The vast majority of ucRBPs have uncharacterized RNA-binding specificities. We analyzed 492 human ucRBPs for intrinsic RNA-binding in vitro and identified 23 that bind specific RNA sequences. Most (17/23), including 8 ribosomal proteins, were previously associated with RNA-related function. We identified the RBDs responsible for sequence-specific RNA-binding for several of these 23 ucRBPs and surveyed whether corresponding domains from homologous proteins also display RNA sequence specificity. CCHC-zf domains from seven human proteins recognized specific RNA motifs, indicating that this is a major class of RBD. For Nudix, HABP4, TPR, RanBP2-zf, and L7Ae domains, however, only isolated members or closely related homologs yielded motifs, consistent with RNA-binding as a derived function. The lack of sequence specificity for most ucRBPs is striking, and we suggest that many may function analogously to chromatin factors, which often crosslink efficiently to cellular DNA, presumably via indirect recruitment. Finally, we show that ucRBPs tend to be highly abundant proteins and suggest their identification in RNA interactome capture studies could also result from weak nonspecific interactions with RNA.
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Affiliation(s)
- Debashish Ray
- Donnelly Centre, University of Toronto, Toronto, ON, M5S 3E1, Canada
| | - Kaitlin U Laverty
- Donnelly Centre, University of Toronto, Toronto, ON, M5S 3E1, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, ON, M5S 1A8, Canada
| | - Arttu Jolma
- Donnelly Centre, University of Toronto, Toronto, ON, M5S 3E1, Canada
| | - Kate Nie
- Donnelly Centre, University of Toronto, Toronto, ON, M5S 3E1, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, ON, M5S 1A8, Canada
| | - Reuben Samson
- Donnelly Centre, University of Toronto, Toronto, ON, M5S 3E1, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, ON, M5S 1A8, Canada
| | - Sara E Pour
- Donnelly Centre, University of Toronto, Toronto, ON, M5S 3E1, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, ON, M5S 1A8, Canada
| | - Cyrus L Tam
- Computational and Systems Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Tri-Institutional Training Program in Computational Biology and Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Niklas von Krosigk
- Donnelly Centre, University of Toronto, Toronto, ON, M5S 3E1, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, ON, M5S 1A8, Canada
| | - Syed Nabeel-Shah
- Donnelly Centre, University of Toronto, Toronto, ON, M5S 3E1, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, ON, M5S 1A8, Canada
| | - Mihai Albu
- Donnelly Centre, University of Toronto, Toronto, ON, M5S 3E1, Canada
| | - Hong Zheng
- Donnelly Centre, University of Toronto, Toronto, ON, M5S 3E1, Canada
| | - Gabrielle Perron
- Department of Human Genetics, McGill University, Montréal, QC, H3A 0C7, Canada
- McGill Genome Centre, Montréal, QC, H3A 0G1, Canada
| | - Hyunmin Lee
- Donnelly Centre, University of Toronto, Toronto, ON, M5S 3E1, Canada
| | - Hamed Najafabadi
- Department of Human Genetics, McGill University, Montréal, QC, H3A 0C7, Canada
- McGill Genome Centre, Montréal, QC, H3A 0G1, Canada
| | - Benjamin Blencowe
- Donnelly Centre, University of Toronto, Toronto, ON, M5S 3E1, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, ON, M5S 1A8, Canada
| | - Jack Greenblatt
- Donnelly Centre, University of Toronto, Toronto, ON, M5S 3E1, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, ON, M5S 1A8, Canada
| | - Quaid Morris
- Donnelly Centre, University of Toronto, Toronto, ON, M5S 3E1, Canada.
- Department of Molecular Genetics, University of Toronto, Toronto, ON, M5S 1A8, Canada.
- Computational and Systems Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
- Tri-Institutional Training Program in Computational Biology and Medicine, Weill Cornell Medicine, New York, NY, USA.
| | - Timothy R Hughes
- Donnelly Centre, University of Toronto, Toronto, ON, M5S 3E1, Canada.
- Department of Molecular Genetics, University of Toronto, Toronto, ON, M5S 1A8, Canada.
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215
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Dalseno D, Anderton H, Kueh A, Herold MJ, Silke J, Strasser A, Bouillet P. Deletion of Gpatch2 does not alter Tnf expression in mice. Cell Death Dis 2023; 14:214. [PMID: 36973252 PMCID: PMC10043016 DOI: 10.1038/s41419-023-05751-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2022] [Revised: 03/14/2023] [Accepted: 03/16/2023] [Indexed: 03/29/2023]
Abstract
The cytokine TNF has essential roles in immune defence against diverse pathogens and, when its expression is deregulated, it can drive severe inflammatory disease. The control of TNF levels is therefore critical for normal functioning of the immune system and health. We have identified GPATCH2 as a putative repressor of Tnf expression acting post-transcriptionally through the TNF 3' UTR in a CRISPR screen for novel regulators of TNF. GPATCH2 is a proposed cancer-testis antigen with roles reported in proliferation in cell lines. However, its role in vivo has not been established. We have generated Gpatch2-/- mice on a C57BL/6 background to assess the potential of GPATCH2 as a regulator of Tnf expression. Here we provide the first insights into Gpatch2-/- animals and show that loss of GPATCH2 affects neither basal Tnf expression in mice, nor Tnf expression in intraperitoneal LPS and subcutaneous SMAC-mimetic injection models of inflammation. We detected GPATCH2 protein in mouse testis and at lower levels in several other tissues, however, the morphology of the testis and these other tissues appears normal in Gpatch2-/- animals. Gpatch2-/- mice are viable, appear grossly normal, and we did not detect notable aberrations in lymphoid tissues or blood cell composition. Collectively, our results suggest no discernible role of GPATCH2 in Tnf expression, and the absence of an overt phenotype in Gpatch2-/- mice warrants further investigation of the role of GPATCH2.
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Affiliation(s)
- Destiny Dalseno
- The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, 3052, Australia
- Department of Medical Biology, The University of Melbourne, Melbourne, VIC, 3052, Australia
| | - Holly Anderton
- The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, 3052, Australia
- Department of Medical Biology, The University of Melbourne, Melbourne, VIC, 3052, Australia
| | - Andrew Kueh
- The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, 3052, Australia
- Department of Medical Biology, The University of Melbourne, Melbourne, VIC, 3052, Australia
| | - Marco J Herold
- The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, 3052, Australia
- Department of Medical Biology, The University of Melbourne, Melbourne, VIC, 3052, Australia
| | - John Silke
- The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, 3052, Australia
- Department of Medical Biology, The University of Melbourne, Melbourne, VIC, 3052, Australia
| | - Andreas Strasser
- The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, 3052, Australia.
- Department of Medical Biology, The University of Melbourne, Melbourne, VIC, 3052, Australia.
| | - Philippe Bouillet
- The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, 3052, Australia
- Department of Medical Biology, The University of Melbourne, Melbourne, VIC, 3052, Australia
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216
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Sabei A, Caldas Baia TG, Saffar R, Martin J, Frezza E. Internal Normal Mode Analysis Applied to RNA Flexibility and Conformational Changes. J Chem Inf Model 2023; 63:2554-2572. [PMID: 36972178 DOI: 10.1021/acs.jcim.2c01509] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/29/2023]
Abstract
We investigated the capability of internal normal modes to reproduce RNA flexibility and predict observed RNA conformational changes and, notably, those induced by the formation of RNA-protein and RNA-ligand complexes. Here, we extended our iNMA approach developed for proteins to study RNA molecules using a simplified representation of the RNA structure and its potential energy. Three data sets were also created to investigate different aspects. Despite all the approximations, our study shows that iNMA is a suitable method to take into account RNA flexibility and describe its conformational changes opening the route to its applicability in any integrative approach where these properties are crucial.
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217
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Ma Q, Lu Q, Lei X, Zhao J, Sun W, Huang D, Zhu Q, Xu Q. Relationship between HuR and tumor drug resistance. Clin Transl Oncol 2023:10.1007/s12094-023-03109-5. [PMID: 36947360 DOI: 10.1007/s12094-023-03109-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2022] [Accepted: 01/31/2023] [Indexed: 03/23/2023]
Abstract
Human resistance protein R (HuR), also known as embryonic lethal abnormal visual-like protein (ELAVL1), is an RNA-binding protein widely expressed in vivo that affects the mRNA stability of targeted and is involved in post-transcriptional regulation. Recent studies have shown that HuR is aberrantly expressed in different human cancers and is an essential factor in poor clinical prognosis. The role of HuR in numerous tumors suggests that it could be a new target for tumor therapy and as a marker for efficacy and prognostic assessment. This review focuses on the relationship between HuR and drug resistance in different tumors and briefly describes the structure, function, and inhibitors of HuR. We summarize the mechanisms by which HuR causes tumor resistance and the molecular targets affected.
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Affiliation(s)
- Qiancheng Ma
- College of Biotechnology and Bioengineering, Zhejiang University of Technology, Hangzhou, 310014, China
| | - Qiliang Lu
- Qingdao Medical College, Qingdao University, Qingdao, 266000, China
| | | | - Jie Zhao
- College of Biotechnology and Bioengineering, Zhejiang University of Technology, Hangzhou, 310014, China
| | - Wen Sun
- Zhejiang Chinese Medical University, Hangzhou, 310053, China
| | - Dongsheng Huang
- The Key Laboratory of Tumor Molecular Diagnosis, and Individualized Medicine of Zhejiang Province, Zhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical College, Hangzhou, 310014, China.
| | - Qing Zhu
- College of Biotechnology and Bioengineering, Zhejiang University of Technology, Hangzhou, 310014, China
| | - Qiuran Xu
- The Key Laboratory of Tumor Molecular Diagnosis, and Individualized Medicine of Zhejiang Province, Zhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical College, Hangzhou, 310014, China.
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218
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Sun L, Qiu Y, Ching WK, Zhao P, Zou Q. PCB: A pseudotemporal causality-based Bayesian approach to identify EMT-associated regulatory relationships of AS events and RBPs during breast cancer progression. PLoS Comput Biol 2023; 19:e1010939. [PMID: 36930678 PMCID: PMC10057809 DOI: 10.1371/journal.pcbi.1010939] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2022] [Revised: 03/29/2023] [Accepted: 02/09/2023] [Indexed: 03/18/2023] Open
Abstract
During breast cancer metastasis, the developmental process epithelial-mesenchymal (EM) transition is abnormally activated. Transcriptional regulatory networks controlling EM transition are well-studied; however, alternative RNA splicing also plays a critical regulatory role during this process. Alternative splicing was proved to control the EM transition process, and RNA-binding proteins were determined to regulate alternative splicing. A comprehensive understanding of alternative splicing and the RNA-binding proteins that regulate it during EM transition and their dynamic impact on breast cancer remains largely unknown. To accurately study the dynamic regulatory relationships, time-series data of the EM transition process are essential. However, only cross-sectional data of epithelial and mesenchymal specimens are available. Therefore, we developed a pseudotemporal causality-based Bayesian (PCB) approach to infer the dynamic regulatory relationships between alternative splicing events and RNA-binding proteins. Our study sheds light on facilitating the regulatory network-based approach to identify key RNA-binding proteins or target alternative splicing events for the diagnosis or treatment of cancers. The data and code for PCB are available at: http://hkumath.hku.hk/~wkc/PCB(data+code).zip.
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Affiliation(s)
- Liangjie Sun
- Department of Mathematics, The University of Hong Kong, Hong Kong, China
| | - Yushan Qiu
- College of Mathematics and Statistics, Shenzhen University, Shenzhen, China
- * E-mail:
| | - Wai-Ki Ching
- Department of Mathematics, The University of Hong Kong, Hong Kong, China
| | - Pu Zhao
- College of Life and Health Sciences, Northeastern University, Shenyang, China
| | - Quan Zou
- Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Chengdu, China
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219
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Xu J, Liu X, Wu S, Zhang D, Liu X, Xia P, Ling J, Zheng K, Xu M, Shen Y, Zhang J, Yu P. RNA-binding proteins in metabolic-associated fatty liver disease (MAFLD): From mechanism to therapy. Biosci Trends 2023; 17:21-37. [PMID: 36682800 DOI: 10.5582/bst.2022.01473] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Abstract
Metabolic-associated fatty liver disease (MAFLD) is the most common chronic liver disease globally and seriously increases the public health burden, affecting approximately one quarter of the world population. Recently, RNA binding proteins (RBPs)-related pathogenesis of MAFLD has received increasing attention. RBPs, vividly called the gate keepers of MAFLD, play an important role in the development of MAFLD through transcription regulation, alternative splicing, alternative polyadenylation, stability and subcellular localization. In this review, we describe the mechanisms of different RBPs in the occurrence and development of MAFLD, as well as list some drugs that can improve MAFLD by targeting RBPs. Considering the important role of RBPs in the development of MAFLD, elucidating the RNA regulatory networks involved in RBPs will facilitate the design of new drugs and biomarkers discovery.
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Affiliation(s)
- Jiawei Xu
- The Second Clinical Medical College / The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China
| | - Xingyu Liu
- The Second Clinical Medical College / The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China
| | - Shuqin Wu
- The Second Clinical Medical College / The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China
| | - Deju Zhang
- Food and Nutritional Sciences, School of Biological Sciences, The University of Hong Kong, Hong Kong, China
| | - Xiao Liu
- Department of Cardiology, The Second Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong, China
| | - Panpan Xia
- Department of Endocrinology and Metabolism, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China
| | - Jitao Ling
- Department of Endocrinology and Metabolism, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China
| | - Kai Zheng
- Medical Care Strategic Customer Department, China Merchants Bank Shenzhen Branch, Shenzhen, Guangdong, Guangdong, China
| | - Minxuan Xu
- Department of Endocrinology and Metabolism, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China
| | - Yunfeng Shen
- Department of Endocrinology and Metabolism, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China
| | - Jing Zhang
- The Second Clinical Medical College / The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China
- Department of Anesthesiology, The Second Affiliated Hospital of Nanchang University, Nanchang, China
| | - Peng Yu
- The Second Clinical Medical College / The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China
- Department of Endocrinology and Metabolism, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China
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220
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Cao L, Duan L, Zhang R, Yang W, Yang N, Huang W, Chen X, Wang N, Niu L, Zhou W, Chen J, Li Y, Zhang Y, Liu J, Fan D, Liu H. Development and validation of an RBP gene signature for prognosis prediction in colorectal cancer based on WGCNA. Hereditas 2023; 160:10. [PMID: 36895014 PMCID: PMC9999506 DOI: 10.1186/s41065-023-00274-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2022] [Accepted: 02/28/2023] [Indexed: 03/11/2023] Open
Abstract
BACKGROUND RNA binding proteins (RBPs) have been implicated in oncogenesis and progression in various cancers. However, the potential value of RBPs as prognostic indicators and therapeutic targets in colorectal cancer (CRC) requires further investigation. METHODS Four thousand eighty two RBPs were collected from literature. The weighted gene co-expression network analysis (WGCNA) was performed to identify prognosis-related RBP gene modules based on the data attained from the TCGA cohorts. LASSO algorithm was conducted to establish a prognostic risk model, and the validity of the proposed model was confirmed by an independent GEO dataset. Functional enrichment analysis was performed to reveal the potential biological functions and pathways of the signature and to estimate tumor immune infiltration. Potential therapeutic compounds were inferred utilizing CMap database. Expressions of hub genes were further verified through the Human Protein Atlas (HPA) database and RT-qPCR. RESULTS One thousand seven hundred thirty four RBPs were differently expressed in CRC samples and 4 gene modules remarkably linked to the prognosis were identified, based on which a 12-gene signature was established for prognosis prediction. Multivariate Cox analysis suggested this signature was an independent predicting factor of overall survival (P < 0.001; HR:3.682; CI:2.377-5.705) and ROC curves indicated it has an effective predictive performance (1-year AUC: 0.653; 3-year AUC:0.673; 5-year AUC: 0.777). GSEA indicated that high risk score was correlated with several cancer-related pathways, including cytokine-cytokine receptor cross talk, ECM receptor cross talk, HEDGEHOG signaling cascade and JAK/STAT signaling cascade. ssGSEA analysis exhibited a significant correlation between immune status and the risk signature. Noscapine and clofazimine were screened as potential drugs for CRC patients with high-risk scores. TDRD5 and GPC1 were identified as hub genes and their expression were validated in 15 pairs of surgically resected CRC tissues. CONCLUSION Our research provides a depth insight of RBPs' role in CRC and the proposed signature are helpful to the personalized treatment and prognostic judgement.
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Affiliation(s)
- Lu Cao
- Department of Biomedical Engineering, Air Force Hospital of Eastern Theater Command, 210001, Nanjing, Jiangsu Province, China
| | - Lili Duan
- Division of Digestive Surgery, State Key Laboratory of Cancer Biology and National Clinical Research Center for Digestive Diseases, Xijing Hospital of Digestive Diseases, Fourth Military Medical University, 710032, Xi'an, Shaanxi Province, China
| | - Rui Zhang
- Division of Digestive Surgery, State Key Laboratory of Cancer Biology and National Clinical Research Center for Digestive Diseases, Xijing Hospital of Digestive Diseases, Fourth Military Medical University, 710032, Xi'an, Shaanxi Province, China
| | - Wanli Yang
- Division of Digestive Surgery, State Key Laboratory of Cancer Biology and National Clinical Research Center for Digestive Diseases, Xijing Hospital of Digestive Diseases, Fourth Military Medical University, 710032, Xi'an, Shaanxi Province, China
| | - Ning Yang
- Department of Biomedical Engineering, Jinling Hospital, Medical School of Nanjing University, 210002, Nanjing, Jiangsu Province, China
| | - Wenzhe Huang
- Department of Biomedical Engineering, Jinling Hospital, Medical School of Nanjing University, 210002, Nanjing, Jiangsu Province, China
| | - Xuemin Chen
- College of Otolaryngology and Head and Neck Surgery, State Key Lab of Hearing Science, Beijing Key Lab of Hearing Impairment Prevention and Treatment, Chinese PLA General Hospital, National Clinical Research Center for Otolaryngologic Diseases, Ministry of Education, Beijing, China
| | - Nan Wang
- Department of Hematology, The Fifth Medical Center, Chinese PLA General Hospital, Beijing, China
| | - Liaoran Niu
- Division of Digestive Surgery, State Key Laboratory of Cancer Biology and National Clinical Research Center for Digestive Diseases, Xijing Hospital of Digestive Diseases, Fourth Military Medical University, 710032, Xi'an, Shaanxi Province, China
| | - Wei Zhou
- Division of Digestive Surgery, State Key Laboratory of Cancer Biology and National Clinical Research Center for Digestive Diseases, Xijing Hospital of Digestive Diseases, Fourth Military Medical University, 710032, Xi'an, Shaanxi Province, China
| | - Junfeng Chen
- Division of Digestive Surgery, State Key Laboratory of Cancer Biology and National Clinical Research Center for Digestive Diseases, Xijing Hospital of Digestive Diseases, Fourth Military Medical University, 710032, Xi'an, Shaanxi Province, China
| | - Yiding Li
- Division of Digestive Surgery, State Key Laboratory of Cancer Biology and National Clinical Research Center for Digestive Diseases, Xijing Hospital of Digestive Diseases, Fourth Military Medical University, 710032, Xi'an, Shaanxi Province, China
| | - Yujie Zhang
- Department of Histology and Embryology, School of Basic Medicine, Xi'an Medical University, Xi'an, China
| | - Jinqiang Liu
- Division of Digestive Surgery, State Key Laboratory of Cancer Biology and National Clinical Research Center for Digestive Diseases, Xijing Hospital of Digestive Diseases, Fourth Military Medical University, 710032, Xi'an, Shaanxi Province, China
| | - Daiming Fan
- Division of Digestive Surgery, State Key Laboratory of Cancer Biology and National Clinical Research Center for Digestive Diseases, Xijing Hospital of Digestive Diseases, Fourth Military Medical University, 710032, Xi'an, Shaanxi Province, China
| | - Hong Liu
- Division of Digestive Surgery, State Key Laboratory of Cancer Biology and National Clinical Research Center for Digestive Diseases, Xijing Hospital of Digestive Diseases, Fourth Military Medical University, 710032, Xi'an, Shaanxi Province, China.
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221
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Targeting KK-LC-1 inhibits malignant biological behaviors of triple-negative breast cancer. J Transl Med 2023; 21:184. [PMID: 36895039 PMCID: PMC9996895 DOI: 10.1186/s12967-023-04030-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2022] [Accepted: 03/01/2023] [Indexed: 03/11/2023] Open
Abstract
BACKGROUND Cancer/testis antigens (CTAs) participate in the regulation of malignant biological behaviors in breast cancer. However, the function and mechanism of KK-LC-1, a member of the CTA family, in breast cancer are still unclear. METHODS Bioinformatic tools, immunohistochemistry, and western blotting were utilized to detect the expression of KK-LC-1 in breast cancer and to explore the prognostic effect of KK-LC-1 expression in breast cancer patients. Cell function assays, animal assays, and next-generation sequencing were utilized to explore the function and mechanism of KK-LC-1 in the malignant biological behaviors of triple-negative breast cancer. Small molecular compounds targeting KK-LC-1 were also screened and drug susceptibility testing was performed. RESULTS KK-LC-1 was significantly highly expressed in triple-negative breast cancer tissues than in normal breast tissues. KK-LC-1 high expression was related to poor survival outcomes in patients with breast cancer. In vitro studies suggested that KK-LC-1 silencing can inhibit triple-negative breast cancer cell proliferation, invasion, migration, and scratch healing ability, increase cell apoptosis ratio, and arrest the cell cycle in the G0-G1 phase. In vivo studies have suggested that KK-LC-1 silencing decreases tumor weight and volume in nude mice. Results showed that KK-CL-1 can regulate the malignant biological behaviors of triple-negative breast cancer via the MAL2/MUC1-C/PI3K/AKT/mTOR pathway. The small-molecule compound Z839878730 had excellent KK-LC-1 targeting ability and cancer cell killing ability. The EC50 value was 9.7 μM for MDA-MB-231 cells and 13.67 µM for MDA-MB-468 cells. Besides, Z839878730 has little tumor-killing effect on human normal mammary epithelial cells MCF10A and can inhibit the malignant biological behaviors of triple-negative breast cancer cells by MAL2/MUC1-C/PI3K/AKT/mTOR pathway. CONCLUSIONS Our findings suggest that KK-LC-1 may serve as a novel therapeutic target for triple-negative breast cancer. Z839878730, which targets KK-LC-1, presents a new path for breast cancer clinical treatment.
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222
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Wicke D, Meißner J, Warneke R, Elfmann C, Stülke J. Understudied proteins and understudied functions in the model bacterium Bacillus subtilis-A major challenge in current research. Mol Microbiol 2023. [PMID: 36882621 DOI: 10.1111/mmi.15053] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Revised: 02/28/2023] [Accepted: 03/04/2023] [Indexed: 03/09/2023]
Abstract
Model organisms such as the Gram-positive bacterium Bacillus subtilis have been studied intensively for decades. However, even for model organisms, no function has been identified for about one fourth of all proteins. It has recently been realized that such understudied proteins as well as poorly studied functions set a limitation to our understanding of the requirements for cellular life, and the Understudied Proteins Initiative has been launched. Of poorly studied proteins, those that are strongly expressed are likely to be important to the cell and should therefore be considered high priority in further studies. Since the functional analysis of unknown proteins can be extremely laborious, a minimal knowledge is required prior to targeted functional studies. In this review, we discuss strategies to obtain such a minimal annotation, for example, from global interaction, expression, or localization studies. We present a set of 41 highly expressed and poorly studied proteins of B. subtilis. Several of these proteins are thought or known to bind RNA and/or the ribosome, some may control the metabolism of B. subtilis, and another subset of particularly small proteins may act as regulatory elements to control the expression of downstream genes. Moreover, we discuss the challenges of poorly studied functions with a focus on RNA-binding proteins, amino acid transport, and the control of metabolic homeostasis. The identification of the functions of the selected proteins not only will strongly advance our knowledge on B. subtilis, but also on other organisms since many of the proteins are conserved in many groups of bacteria.
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Affiliation(s)
- Dennis Wicke
- Department of General Microbiology, Georg-August-University Göttingen, GZMB, Göttingen, Germany
| | - Janek Meißner
- Department of General Microbiology, Georg-August-University Göttingen, GZMB, Göttingen, Germany
| | - Robert Warneke
- Department of General Microbiology, Georg-August-University Göttingen, GZMB, Göttingen, Germany
| | - Christoph Elfmann
- Department of General Microbiology, Georg-August-University Göttingen, GZMB, Göttingen, Germany
| | - Jörg Stülke
- Department of General Microbiology, Georg-August-University Göttingen, GZMB, Göttingen, Germany
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223
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Goering R, Arora A, Pockalny MC, Taliaferro JM. RNA localization mechanisms transcend cell morphology. eLife 2023; 12:e80040. [PMID: 36867563 PMCID: PMC9984196 DOI: 10.7554/elife.80040] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Accepted: 01/24/2023] [Indexed: 03/04/2023] Open
Abstract
RNA molecules are localized to specific subcellular regions through interactions between RNA regulatory elements and RNA binding proteins (RBPs). Generally, our knowledge of the mechanistic details behind the localization of a given RNA is restricted to a particular cell type. Here, we show that RNA/RBP interactions that regulate RNA localization in one cell type predictably regulate localization in other cell types with vastly different morphologies. To determine transcriptome-wide RNA spatial distributions across the apicobasal axis of human intestinal epithelial cells, we used our recently developed RNA proximity labeling technique, Halo-seq. We found that mRNAs encoding ribosomal proteins (RP mRNAs) were strongly localized to the basal pole of these cells. Using reporter transcripts and single-molecule RNA FISH, we found that pyrimidine-rich motifs in the 5' UTRs of RP mRNAs were sufficient to drive basal RNA localization. Interestingly, the same motifs were also sufficient to drive RNA localization to the neurites of mouse neuronal cells. In both cell types, the regulatory activity of this motif was dependent on it being in the 5' UTR of the transcript, was abolished upon perturbation of the RNA-binding protein LARP1, and was reduced upon inhibition of kinesin-1. To extend these findings, we compared subcellular RNAseq data from neuronal and epithelial cells. We found that the basal compartment of epithelial cells and the projections of neuronal cells were enriched for highly similar sets of RNAs, indicating that broadly similar mechanisms may be transporting RNAs to these morphologically distinct locations. These findings identify the first RNA element known to regulate RNA localization across the apicobasal axis of epithelial cells, establish LARP1 as an RNA localization regulator, and demonstrate that RNA localization mechanisms cut across cell morphologies.
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Affiliation(s)
- Raeann Goering
- Department of Biochemistry and Molecular Genetics, University of Colorado Anschutz Medical CampusAuroraUnited States
- RNA Bioscience Initiative, University of Colorado Anschutz Medical CampusAuroraUnited States
| | - Ankita Arora
- Department of Biochemistry and Molecular Genetics, University of Colorado Anschutz Medical CampusAuroraUnited States
| | - Megan C Pockalny
- Department of Biochemistry and Molecular Genetics, University of Colorado Anschutz Medical CampusAuroraUnited States
| | - J Matthew Taliaferro
- Department of Biochemistry and Molecular Genetics, University of Colorado Anschutz Medical CampusAuroraUnited States
- RNA Bioscience Initiative, University of Colorado Anschutz Medical CampusAuroraUnited States
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224
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Protein-RNA interactions: from mass spectrometry to drug discovery. Essays Biochem 2023; 67:175-186. [PMID: 36866608 PMCID: PMC10070478 DOI: 10.1042/ebc20220177] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2022] [Revised: 01/25/2023] [Accepted: 01/26/2023] [Indexed: 03/04/2023]
Abstract
Proteins and RNAs are fundamental parts of biological systems, and their interactions affect many essential cellular processes. Therefore, it is crucial to understand at a molecular and at a systems level how proteins and RNAs form complexes and mutually affect their functions. In the present mini-review, we will first provide an overview of different mass spectrometry (MS)-based methods to study the RNA-binding proteome (RBPome), most of which are based on photochemical cross-linking. As we will show, some of these methods are also able to provide higher-resolution information about binding sites, which are important for the structural characterisation of protein-RNA interactions. In addition, classical structural biology techniques such as nuclear magnetic resonance (NMR) spectroscopy and biophysical methods such as electron paramagnetic resonance (EPR) spectroscopy and fluorescence-based methods contribute to a detailed understanding of the interactions between these two classes of biomolecules. We will discuss the relevance of such interactions in the context of the formation of membrane-less organelles (MLOs) by liquid-liquid phase separation (LLPS) processes and their emerging importance as targets for drug discovery.
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225
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Pan Z, Zhou S, Zou H, Liu C, Zang M, Liu T, Wang Q. MCNN: Multiple Convolutional Neural Networks for RNA-Protein Binding Sites Prediction. IEEE/ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS 2023; 20:1180-1187. [PMID: 35471886 DOI: 10.1109/tcbb.2022.3170367] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/04/2023]
Abstract
Computational prediction of the RBP bound sites using features learned from existing annotation knowledge is an effective method because high-throughput experiments are complex, expensive and time-consuming. Many methods have been proposed to predict RNA-protein binding sites. However, the partial information of RNA sequence is not fully used. In this study, we propose multiple convolutional neural networks (MCNN) method, which predicts RNA-protein binding sites by integrating multiple convolutional neural networks constructed by RNA sequence information extracted from windows with different lengths. First, MCNN trains multiple CNNs base on RNA sequences extracted by different window lengths. Second, MCNN can extract more binding patterns of RBPs by combining these trained multiple CNNs previously. Third, MCNN only uses RNA base sequence information for RNA-protein binding sites prediction, which extracts sequence binding features and predicts the result with same architecture. This avoids the information loss of feature extraction step. Our proposed MCNN demonstrates a competitive performance comparing with other methods on a large-scale dataset derived from CLIP-seq, which is an effective method for RNA-protein binding sites prediction. The source code of our proposed MCNN method can be found in https://github.com/biomg/MCNN.
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226
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Gökmen-Polar Y, Gu Y, Polar A, Gu X, Badve SS. The Role of ESRP1 in the Regulation of PHGDH in Estrogen Receptor-Positive Breast Cancer. J Transl Med 2023; 103:100002. [PMID: 36925195 DOI: 10.1016/j.labinv.2022.100002] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Revised: 07/21/2022] [Accepted: 09/20/2022] [Indexed: 01/11/2023] Open
Abstract
Resistance to hormone therapy leads to a recurrence of estrogen receptor-positive breast cancer. We have demonstrated that the epithelial splicing regulatory protein 1 (ESRP1) significantly affects cell/tumor growth and metabolism and is associated with a poor prognosis in this breast cancer subtype. In this study, we aimed to investigate the ESRP1 protein-messenger RNA (mRNA) interaction in hormone therapy-resistant breast cancer. RNA-binding protein immunoprecipitation (RIP) followed by Clariom D (Applied Biosystems/Thermo Fisher Scientific) transcriptomics microarray (RIP-Chip) was performed to identify mRNA-binding partners of ESRP1. The integration of RIP-Chip and immunoprecipitation-mass spectrometry analyses identified phosphoglycerate dehydrogenase (PHGDH), a key metabolic enzyme, as a binding partner of ESRP1 in hormone-resistant breast cancer. Bioinformatic analysis showed ESRP1 binding to the 5' untranslated region of PHGDH. RNA electrophoresis mobility shift assay and RIP-quantitative reverse transcription-polymerase chain reaction further validated the ESRP1-PHGDH binding. In addition, knockdown of ESRP1 decreased PHGDH mRNA stability significantly, suggesting the posttranscriptional regulation of PHGDH by ESRP1. The presence or absence of ESRP1 levels significantly affected the stability in tamoxifen-resistant LCC2 and fulvestrant-resistant LCC9 cells. PHGDH knockdown in tamoxifen-resistant cells further reduced the oxygen consumption rate (ranging from P = .005 and P = .02), mimicking the effects of ESRP1 knockdown. Glycolytic parameters were also altered (ranging P = .001 and P = .005). ESRP1 levels did not affect the stability of PHGDH in T-47D cells, although knockdown of PHGDH affected the growth of these cells. In conclusion, to our knowledge, this study, for the first time, reports that ESRP1 binds to the 5' untranslated region of PHGDH, increasing its mRNA stability in hormone therapy-resistant estrogen receptor-positive breast cancer. These findings provide evidence for a novel mechanism of action of RNA-binding proteins such as ESRP1. These new insights could assist in developing novel strategies for the treatment of hormone therapy-resistant breast cancer.
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Affiliation(s)
- Yesim Gökmen-Polar
- Department of Pathology and Laboratory Medicine, Emory University School of Medicine, Atlanta, Georgia; Emory University Winship Cancer Institute, Atlanta, Georgia.
| | - Yuan Gu
- Department of Pathology and Laboratory Medicine, Emory University School of Medicine, Atlanta, Georgia
| | - Alper Polar
- Department of Chemistry, University of Florida, Gainesville, Florida
| | - Xiaoping Gu
- Department of Pathology and Laboratory Medicine, Indiana University School of Medicine, Indianapolis, Indiana
| | - Sunil S Badve
- Department of Pathology and Laboratory Medicine, Emory University School of Medicine, Atlanta, Georgia; Emory University Winship Cancer Institute, Atlanta, Georgia
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227
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Eléouët M, Lu C, Zhou Y, Yang P, Ma J, Xu G. Insights on the biological functions and diverse regulation of RNA-binding protein 39 and their implication in human diseases. BIOCHIMICA ET BIOPHYSICA ACTA. GENE REGULATORY MECHANISMS 2023; 1866:194902. [PMID: 36535628 DOI: 10.1016/j.bbagrm.2022.194902] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/18/2022] [Revised: 11/24/2022] [Accepted: 12/12/2022] [Indexed: 12/23/2022]
Abstract
RNA-binding protein 39 (RBM39) involves in pre-mRNA splicing and transcriptional regulation. RBM39 is dysregulated in many cancers and its upregulation enhances cancer cell proliferation. Recently, it has been discovered that aryl sulfonamides act as molecular glues to recruit RBM39 to the CRL4DCAF15 E3 ubiquitin ligase complex for its ubiquitination and proteasomal degradation. Therefore, various studies have focused on the degradation of RBM39 by aryl sulfonamides in the aim of finding new cancer therapeutics. These discoveries also attracted focus for thorough study on the biological functions of RBM39. RBM39 was found to regulate the splicing and transcription of genes mainly involved in pre-mRNA splicing, cell cycle regulation, DNA damage response, and metabolism, but the understanding of these regulations is still in its infancy. This article reviews the advances of the current literature and discusses the remaining key issues on the biological function and dynamic regulation of RBM39 at the post-translational level.
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Affiliation(s)
- Morgane Eléouët
- Jiangsu Key Laboratory of Neuropsychiatric Diseases and College of Pharmaceutical Sciences, Jiangsu Province Engineering Research Center of Precision Diagnostics and Therapeutics Development, Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Suzhou Key Laboratory of Drug Research for Prevention and Treatment of Hyperlipidemic Diseases, Soochow University, 199 Ren'ai Road, Suzhou, Jiangsu 215123, China; Synbio Technologies Company, BioBay C20, 218 Xinghu Street, Suzhou, Jiangsu 215123, China
| | - Chengpiao Lu
- Jiangsu Key Laboratory of Neuropsychiatric Diseases and College of Pharmaceutical Sciences, Jiangsu Province Engineering Research Center of Precision Diagnostics and Therapeutics Development, Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Suzhou Key Laboratory of Drug Research for Prevention and Treatment of Hyperlipidemic Diseases, Soochow University, 199 Ren'ai Road, Suzhou, Jiangsu 215123, China
| | - Yijia Zhou
- Jiangsu Key Laboratory of Neuropsychiatric Diseases and College of Pharmaceutical Sciences, Jiangsu Province Engineering Research Center of Precision Diagnostics and Therapeutics Development, Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Suzhou Key Laboratory of Drug Research for Prevention and Treatment of Hyperlipidemic Diseases, Soochow University, 199 Ren'ai Road, Suzhou, Jiangsu 215123, China
| | - Ping Yang
- Synbio Technologies Company, BioBay C20, 218 Xinghu Street, Suzhou, Jiangsu 215123, China
| | - Jingjing Ma
- Department of Pharmacy, Medical Center of Soochow University, Dushu Lake Hospital Affiliated to Soochow University, Suzhou, Jiangsu 215123, China.
| | - Guoqiang Xu
- Jiangsu Key Laboratory of Neuropsychiatric Diseases and College of Pharmaceutical Sciences, Jiangsu Province Engineering Research Center of Precision Diagnostics and Therapeutics Development, Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Suzhou Key Laboratory of Drug Research for Prevention and Treatment of Hyperlipidemic Diseases, Soochow University, 199 Ren'ai Road, Suzhou, Jiangsu 215123, China.
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228
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Asencio C, Schwarzl T, Sahadevan S, Hentze MW. Small noncoding RNA interactome capture reveals pervasive, carbon source-dependent tRNA engagement of yeast glycolytic enzymes. RNA (NEW YORK, N.Y.) 2023; 29:330-345. [PMID: 36574981 PMCID: PMC9945440 DOI: 10.1261/rna.079408.122] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/10/2022] [Accepted: 11/29/2022] [Indexed: 06/17/2023]
Abstract
Small noncoding RNAs fulfill key functions in cellular and organismal biology, typically working in concert with RNA-binding proteins (RBPs). While proteome-wide methodologies have enormously expanded the repertoire of known RBPs, these methods do not distinguish RBPs binding to small noncoding RNAs from the rest. To specifically identify this relevant subclass of RBPs, we developed small noncoding RNA interactome capture (snRIC2C) based on the differential RNA-binding capacity of silica matrices (2C). We define the S. cerevisiae proteome of nearly 300 proteins that specifically binds to RNAs smaller than 200 nt in length (snRBPs), identifying informative distinctions from the total RNA-binding proteome determined in parallel. Strikingly, the snRBPs include most glycolytic enzymes from yeast. With further methodological developments using silica matrices, 12 tRNAs were identified as specific binders of the glycolytic enzyme GAPDH. We show that tRNA engagement of GAPDH is carbon source-dependent and regulated by the RNA polymerase III repressor Maf1, suggesting a regulatory interaction between glycolysis and RNA polymerase III activity. We conclude that snRIC2C and other 2C-derived methods greatly facilitate the study of RBPs, revealing previously unrecognized interactions.
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Affiliation(s)
- Claudio Asencio
- European Molecular Biology Laboratory, 69117 Heidelberg, Germany
| | - Thomas Schwarzl
- European Molecular Biology Laboratory, 69117 Heidelberg, Germany
| | - Sudeep Sahadevan
- European Molecular Biology Laboratory, 69117 Heidelberg, Germany
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229
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Hollmann NM, Jagtap PKA, Linse JB, Ullmann P, Payr M, Murciano B, Simon B, Hub JS, Hennig J. Upstream of N-Ras C-terminal cold shock domains mediate poly(A) specificity in a novel RNA recognition mode and bind poly(A) binding protein. Nucleic Acids Res 2023; 51:1895-1913. [PMID: 36688322 PMCID: PMC9976900 DOI: 10.1093/nar/gkac1277] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2022] [Revised: 12/21/2022] [Accepted: 12/23/2022] [Indexed: 01/24/2023] Open
Abstract
RNA binding proteins (RBPs) often engage multiple RNA binding domains (RBDs) to increase target specificity and affinity. However, the complexity of target recognition of multiple RBDs remains largely unexplored. Here we use Upstream of N-Ras (Unr), a multidomain RBP, to demonstrate how multiple RBDs orchestrate target specificity. A crystal structure of the three C-terminal RNA binding cold-shock domains (CSD) of Unr bound to a poly(A) sequence exemplifies how recognition goes beyond the classical ππ-stacking in CSDs. Further structural studies reveal several interaction surfaces between the N-terminal and C-terminal part of Unr with the poly(A)-binding protein (pAbp). All interactions are validated by mutational analyses and the high-resolution structures presented here will guide further studies to understand how both proteins act together in cellular processes.
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Affiliation(s)
- Nele Merret Hollmann
- Structural and Computational Biology Unit, EMBL Heidelberg, Meyerhofstraße 1, 69117 Heidelberg, Germany.,Collaboration for joint PhD degree between EMBL and Heidelberg University, Faculty of Biosciences, 69117 Heidelberg, Germany
| | - Pravin Kumar Ankush Jagtap
- Structural and Computational Biology Unit, EMBL Heidelberg, Meyerhofstraße 1, 69117 Heidelberg, Germany.,Chair of Biochemistry IV, Biophysical Chemistry, University of Bayreuth, Universitätsstrasse 30, 95447 Bayreuth, Germany
| | - Johanna-Barbara Linse
- Theoretical Physics, Saarland University, 66123 Saarbrücken, Germany.,Center for Biophysics, Saarland University, 66123 Saarbrücken, Germany
| | - Philip Ullmann
- Structural and Computational Biology Unit, EMBL Heidelberg, Meyerhofstraße 1, 69117 Heidelberg, Germany
| | - Marco Payr
- Structural and Computational Biology Unit, EMBL Heidelberg, Meyerhofstraße 1, 69117 Heidelberg, Germany.,Collaboration for joint PhD degree between EMBL and Heidelberg University, Faculty of Biosciences, 69117 Heidelberg, Germany
| | - Brice Murciano
- Structural and Computational Biology Unit, EMBL Heidelberg, Meyerhofstraße 1, 69117 Heidelberg, Germany
| | - Bernd Simon
- Structural and Computational Biology Unit, EMBL Heidelberg, Meyerhofstraße 1, 69117 Heidelberg, Germany
| | - Jochen S Hub
- Theoretical Physics, Saarland University, 66123 Saarbrücken, Germany.,Center for Biophysics, Saarland University, 66123 Saarbrücken, Germany
| | - Janosch Hennig
- Structural and Computational Biology Unit, EMBL Heidelberg, Meyerhofstraße 1, 69117 Heidelberg, Germany.,Chair of Biochemistry IV, Biophysical Chemistry, University of Bayreuth, Universitätsstrasse 30, 95447 Bayreuth, Germany
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230
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Current Status of Oligonucleotide-Based Protein Degraders. Pharmaceutics 2023; 15:pharmaceutics15030765. [PMID: 36986626 PMCID: PMC10055846 DOI: 10.3390/pharmaceutics15030765] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Revised: 02/16/2023] [Accepted: 02/21/2023] [Indexed: 03/03/2023] Open
Abstract
Transcription factors (TFs) and RNA-binding proteins (RBPs) have long been considered undruggable, mainly because they lack ligand-binding sites and are equipped with flat and narrow protein surfaces. Protein-specific oligonucleotides have been harnessed to target these proteins with some satisfactory preclinical results. The emerging proteolysis-targeting chimera (PROTAC) technology is no exception, utilizing protein-specific oligonucleotides as warheads to target TFs and RBPs. In addition, proteolysis by proteases is another type of protein degradation. In this review article, we discuss the current status of oligonucleotide-based protein degraders that are dependent either on the ubiquitin–proteasome system or a protease, providing a reference for the future development of degraders.
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231
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Yu XM, Li SJ, Yao ZT, Xu JJ, Zheng CC, Liu ZC, Ding PB, Jiang ZL, Wei X, Zhao LP, Shi XY, Li ZG, Xu WW, Li B. N4-acetylcytidine modification of lncRNA CTC-490G23.2 promotes cancer metastasis through interacting with PTBP1 to increase CD44 alternative splicing. Oncogene 2023; 42:1101-1116. [PMID: 36792757 DOI: 10.1038/s41388-023-02628-3] [Citation(s) in RCA: 24] [Impact Index Per Article: 24.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2022] [Revised: 01/26/2023] [Accepted: 02/06/2023] [Indexed: 02/17/2023]
Abstract
Although N4-acetylcytidine (ac4C) modification affects the stability and translation of mRNA, it is unknown whether it exists in noncoding RNAs, and its biological function is unclear. Here, nucleotide-resolution method for profiling CTC-490G23.2 ac4C sites and gain- and loss-of-function experiments revealed that N-acetyltransferase 10 (NAT10) is responsible for ac4C modification of long noncoding RNAs (lncRNAs). NAT10-mediated ac4C modification leads to the stabilization and overexpression of lncRNA CTC-490G23.2 in primary esophageal squamous cell carcinoma (ESCC) and its further upregulation in metastatic tissues. CTC-490G23.2 significantly promotes cancer invasion and metastasis in vitro and in vivo. Mechanistically, CTC-490G23.2 acts as a scaffold to increase the binding of CD44 pre-mRNA to polypyrimidine tract-binding protein 1 (PTBP1), resulting in a oncogenic splicing switch from the standard isoform CD44s to the variant isoform CD44v(8-10). CD44v(8-10), but not CD44s, binds to and increases the protein stability of vimentin. Expression levels of CTC-490G23.2 and CD44v(8-10) can predict poor prognosis in cancer patients. Furthermore, the antisense oligonucleotide (ASO)/SV40-LAH4-L1 peptide self-assembled nanocomplexes targeting CTC490G23.2 exerts a significantly suppressive effect on cancer metastasis. The outcome of this study will provide new mechanistic insight into the ac4C modification of lncRNAs and useful clues for the development of novel systemic therapies and prognostic biomarkers.
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Affiliation(s)
- Xiao-Mei Yu
- Key Laboratory of Biological Targeting Diagnosis, Therapy and Rehabilitation of Guangdong Higher Education Institutes, The Fifth Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.,MOE Key Laboratory of Tumor Molecular Biology, National Engineering Research Center of Genetic Medicine, College of Life Science and Technology, Jinan University, Guangzhou, China
| | - Shu-Jun Li
- Key Laboratory of Biological Targeting Diagnosis, Therapy and Rehabilitation of Guangdong Higher Education Institutes, The Fifth Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.,MOE Key Laboratory of Tumor Molecular Biology, National Engineering Research Center of Genetic Medicine, College of Life Science and Technology, Jinan University, Guangzhou, China
| | - Zi-Ting Yao
- MOE Key Laboratory of Tumor Molecular Biology, National Engineering Research Center of Genetic Medicine, College of Life Science and Technology, Jinan University, Guangzhou, China
| | - Jiao-Jiao Xu
- Key Laboratory of Biological Targeting Diagnosis, Therapy and Rehabilitation of Guangdong Higher Education Institutes, The Fifth Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.,MOE Key Laboratory of Tumor Molecular Biology, National Engineering Research Center of Genetic Medicine, College of Life Science and Technology, Jinan University, Guangzhou, China
| | - Can-Can Zheng
- Key Laboratory of Biological Targeting Diagnosis, Therapy and Rehabilitation of Guangdong Higher Education Institutes, The Fifth Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Zhi-Chao Liu
- Department of Thoracic Surgery, Shanghai Chest Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Peng-Bo Ding
- Key Laboratory of Biological Targeting Diagnosis, Therapy and Rehabilitation of Guangdong Higher Education Institutes, The Fifth Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.,MOE Key Laboratory of Tumor Molecular Biology, National Engineering Research Center of Genetic Medicine, College of Life Science and Technology, Jinan University, Guangzhou, China
| | - Zhi-Li Jiang
- Department of Radiation Oncology, The Fifth Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Xian Wei
- Key Laboratory of Biological Targeting Diagnosis, Therapy and Rehabilitation of Guangdong Higher Education Institutes, The Fifth Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Lin-Ping Zhao
- Key Laboratory of Biological Targeting Diagnosis, Therapy and Rehabilitation of Guangdong Higher Education Institutes, The Fifth Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Xing-Yuan Shi
- Department of Radiation Oncology, The Fifth Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Zhi-Gang Li
- Department of Thoracic Surgery, Shanghai Chest Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Wen Wen Xu
- Guangdong Provincial Key Laboratory of Protein Modification and Degradation, State Key Laboratory of Respiratory Disease, School of Basic Medical Sciences, Guangzhou Medical University, Guangzhou, China
| | - Bin Li
- Key Laboratory of Biological Targeting Diagnosis, Therapy and Rehabilitation of Guangdong Higher Education Institutes, The Fifth Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
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232
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Kowalski MH, Wessels HH, Linder J, Choudhary S, Hartman A, Hao Y, Mascio I, Dalgarno C, Kundaje A, Satija R. CPA-Perturb-seq: Multiplexed single-cell characterization of alternative polyadenylation regulators. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.02.09.527751. [PMID: 36798324 PMCID: PMC9934614 DOI: 10.1101/2023.02.09.527751] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/18/2023]
Abstract
Most mammalian genes have multiple polyA sites, representing a substantial source of transcript diversity that is governed by the cleavage and polyadenylation (CPA) regulatory machinery. To better understand how these proteins govern polyA site choice we introduce CPA-Perturb-seq, a multiplexed perturbation screen dataset of 42 known CPA regulators with a 3' scRNA-seq readout that enables transcriptome-wide inference of polyA site usage. We develop a statistical framework to specifically identify perturbation-dependent changes in intronic and tandem polyadenylation, and discover modules of co-regulated polyA sites exhibiting distinct functional properties. By training a multi-task deep neural network (APARENT-Perturb) on our dataset, we delineate a cis-regulatory code that predicts responsiveness to perturbation and reveals interactions between distinct regulatory complexes. Finally, we leverage our framework to re-analyze published scRNA-seq datasets, identifying new regulators that affect the relative abundance of alternatively polyadenylated transcripts, and characterizing extensive cellular heterogeneity in 3' UTR length amongst antibody-producing cells. Our work highlights the potential for multiplexed single-cell perturbation screens to further our understanding of post-transcriptional regulation in vitro and in vivo.
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Affiliation(s)
- Madeline H. Kowalski
- New York Genome Center, New York, NY, USA
- Center for Genomics and Systems Biology, New York University, New York, NY, USA
- New York University Grossman School of Medicine, New York, NY, USA
| | - Hans-Hermann Wessels
- New York Genome Center, New York, NY, USA
- Center for Genomics and Systems Biology, New York University, New York, NY, USA
| | - Johannes Linder
- Department of Genetics, Stanford University, Stanford USA
- Department of Computer Science, Stanford University, Stanford USA
| | - Saket Choudhary
- New York Genome Center, New York, NY, USA
- Center for Genomics and Systems Biology, New York University, New York, NY, USA
| | | | - Yuhan Hao
- New York Genome Center, New York, NY, USA
- Center for Genomics and Systems Biology, New York University, New York, NY, USA
| | - Isabella Mascio
- New York Genome Center, New York, NY, USA
- Center for Genomics and Systems Biology, New York University, New York, NY, USA
| | | | - Anshul Kundaje
- Department of Genetics, Stanford University, Stanford USA
- Department of Computer Science, Stanford University, Stanford USA
| | - Rahul Satija
- New York Genome Center, New York, NY, USA
- Center for Genomics and Systems Biology, New York University, New York, NY, USA
- New York University Grossman School of Medicine, New York, NY, USA
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233
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Novel roles of RNA-binding proteins in drug resistance of breast cancer: from molecular biology to targeting therapeutics. Cell Death Discov 2023; 9:52. [PMID: 36759501 PMCID: PMC9911762 DOI: 10.1038/s41420-023-01352-x] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2022] [Revised: 01/25/2023] [Accepted: 01/30/2023] [Indexed: 02/11/2023] Open
Abstract
Therapy resistance remains a huge challenge for current breast cancer treatments. Exploring molecular mechanisms of therapy resistance might provide therapeutic targets for patients with advanced breast cancer and improve their prognosis. RNA-binding proteins (RBPs) play an important role in regulating therapy resistance. Here we summarize the functions of RBPs, highlight their tremendously important roles in regulating therapy sensitivity and resistance and we also reveal current therapeutic approaches reversing abnormal functions of RBPs in breast cancer.
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234
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Badaoui M, Sobolewski C, Luscher A, Bacchetta M, Köhler T, van Delden C, Foti M, Chanson M. Targeting HuR-Vav3 mRNA interaction prevents Pseudomonas aeruginosa adhesion to the cystic fibrosis airway epithelium. JCI Insight 2023; 8:161961. [PMID: 36602863 PMCID: PMC9977432 DOI: 10.1172/jci.insight.161961] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2022] [Accepted: 12/21/2022] [Indexed: 01/06/2023] Open
Abstract
Cystic fibrosis (CF) is characterized by chronic bacterial infections leading to progressive bronchiectasis and respiratory failure. Pseudomonas aeruginosa (Pa) is the predominant opportunistic pathogen infecting the CF airways. The guanine nucleotide exchange factor Vav3 plays a critical role in Pa adhesion to the CF airways by inducing luminal fibronectin deposition that favors bacteria trapping. Here we report that Vav3 overexpression in CF is caused by upregulation of the mRNA-stabilizing protein HuR. We found that HuR accumulates in the cytoplasm of CF airway epithelial cells and that it binds to and stabilizes Vav3 mRNA. Interestingly, disruption of the HuR-Vav3 mRNA interaction improved the CF epithelial integrity, inhibited the formation of the fibronectin-made bacterial docking platforms, and prevented Pa adhesion to the CF airway epithelium. These findings indicate that targeting HuR represents a promising antiadhesive approach in CF that can prevent initial stages of Pa infection in a context of emergence of multidrug-resistant pathogens.
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Affiliation(s)
| | | | - Alexandre Luscher
- Department of Microbiology & Molecular Medicine, Faculty of Medicine, University of Geneva, Switzerland
| | | | - Thilo Köhler
- Department of Microbiology & Molecular Medicine, Faculty of Medicine, University of Geneva, Switzerland
| | - Christian van Delden
- Department of Microbiology & Molecular Medicine, Faculty of Medicine, University of Geneva, Switzerland
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235
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Shih CY, Chen YC, Lin HY, Chu CY. RNA Helicase DDX6 Regulates A-to-I Editing and Neuronal Differentiation in Human Cells. Int J Mol Sci 2023; 24:ijms24043197. [PMID: 36834609 PMCID: PMC9965400 DOI: 10.3390/ijms24043197] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Revised: 01/24/2023] [Accepted: 01/31/2023] [Indexed: 02/09/2023] Open
Abstract
The DEAD-box proteins, one family of RNA-binding proteins (RBPs), participate in post-transcriptional regulation of gene expression with multiple aspects. Among them, DDX6 is an essential component of the cytoplasmic RNA processing body (P-body) and is involved in translational repression, miRNA-meditated gene silencing, and RNA decay. In addition to the cytoplasmic function, DDX6 is also present in the nucleus, but the nuclear function remains unknown. To decipher the potential role of DDX6 in the nucleus, we performed mass spectrometry analysis of immunoprecipitated DDX6 from a HeLa nuclear extract. We found that adenosine deaminases that act on RNA 1 (ADAR1) interact with DDX6 in the nucleus. Utilizing our newly developed dual-fluorescence reporter assay, we elucidated the DDX6 function as negative regulators in cellular ADAR1p110 and ADAR2. In addition, depletion of DDX6 and ADARs results in the opposite effect on facilitation of RA-induced differentiation of neuronal lineage cells. Our data suggest the impact of DDX6 in regulation of the cellular RNA editing level, thus contributing to differentiation in the neuronal cell model.
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Affiliation(s)
- Chia-Yu Shih
- Department of Life Science, College of Life Science, National Taiwan University, Taipei 10617, Taiwan
| | - Yun-Chi Chen
- Department of Life Science, College of Life Science, National Taiwan University, Taipei 10617, Taiwan
| | - Heng-Yi Lin
- Department of Life Science, College of Life Science, National Taiwan University, Taipei 10617, Taiwan
| | - Chia-Ying Chu
- Department of Life Science, College of Life Science, National Taiwan University, Taipei 10617, Taiwan
- Center for Systems Biology, National Taiwan University, Taipei 10617, Taiwan
- Correspondence: ; Tel.: +886-2-33669876
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236
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Wang XY, Zhang LN. RNA binding protein SAMD4: current knowledge and future perspectives. Cell Biosci 2023; 13:21. [PMID: 36732864 PMCID: PMC9893680 DOI: 10.1186/s13578-023-00968-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2022] [Accepted: 01/22/2023] [Indexed: 02/04/2023] Open
Abstract
SAMD4 protein family is a class of novel RNA-binding proteins that can mediate post-transcriptional regulation and translation repression in eukaryotes, which are highly conserved from yeast to humans during evolution. In mammalian cells, SAMD4 protein family consists of two members including SAMD4A/Smaug1 and SAMD4B/Smaug2, both of which contain common SAM domain that can specifically bind to different target mRNAs through stem-loop structures, also known as Smaug recognition elements (SREs), and regulate the mRNA stability, degradation and translation. In addition, SAMD4 can form the cytoplasmic mRNA silencing foci and regulate the translation of SRE-containing mRNAs in neurons. SAMD4 also can form the cytosolic membrane-less organelles (MLOs), termed as Smaug1 bodies, and regulate mitochondrial function. Importantly, many studies have identified that SAMD4 family members are involved in various pathological processes including myopathy, bone development, neural development, and cancer occurrence and progression. In this review, we mainly summarize the structural characteristics, biological functions and molecular regulatory mechanisms of SAMD4 protein family members, which will provide a basis for further research and clinical application of SAMD4 protein family.
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Affiliation(s)
- Xin-Ya Wang
- grid.28703.3e0000 0000 9040 3743Beijing International Science and Technology Cooperation Base of Antivirus Drug, Faculty of Environment and Life, Beijing University of Technology, 100124 Beijing, People’s Republic of China
| | - Li-Na Zhang
- grid.28703.3e0000 0000 9040 3743Beijing International Science and Technology Cooperation Base of Antivirus Drug, Faculty of Environment and Life, Beijing University of Technology, 100124 Beijing, People’s Republic of China
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237
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Peng P, Chen ZR, Zhang XL, Guo DS, Zhang B, He XM, Wan F. Construction and Verification of an RNA-Binding Protein-Associated Prognostic Model for Gliomas. Curr Med Sci 2023; 43:156-165. [PMID: 36867360 DOI: 10.1007/s11596-022-2694-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2020] [Accepted: 09/29/2021] [Indexed: 03/04/2023]
Abstract
OBJECTIVE To construct and verificate an RNA-binding protein (RBP)-associated prognostic model for gliomas using integrated bioinformatics analysis. METHODS RNA-sequencing and clinic pathological data of glioma patients from The Cancer Genome Atlas (TCGA) database and the Chinese Glioma Genome Atlas database (CGGA) were downloaded. The aberrantly expressed RBPs were investigated between gliomas and normal samples in TCGA database. We then identified prognosis related hub genes and constructed a prognostic model. This model was further validated in the CGGA-693 and CGGA-325 cohorts. RESULTS Totally 174 differently expressed genes-encoded RBPs were identified, containing 85 down-regulated and 89 up-regulated genes. We identified five genes-encoded RBPs (ERI1, RPS2, BRCA1, NXT1, and TRIM21) as prognosis related key genes and constructed a prognostic model. Overall survival (OS) analysis revealed that the patients in the high-risk subgroup based on the model were worse than those in the low-risk subgroup. The area under the receiver operator characteristic curve (AUC) of the prognostic model was 0.836 in the TCGA dataset and 0.708 in the CGGA-693 dataset, demonstrating a favorable prognostic model. Survival analyses of the five RBPs in the CGGA-325 cohort validated the findings. A nomogram was constructed based on the five genes and validated in the TCGA cohort, confirming a promising discriminating ability for gliomas. CONCLUSION The prognostic model of the five RBPs might serve as an independent prognostic algorithm for gliomas.
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Affiliation(s)
- Peng Peng
- Department of Neurosurgery, Xiangyang Central Hospital, Affiliated Hospital of Hubei University of Arts and Science, Xiangyang, 441021, China
- Department of Neurosurgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Zi-Rong Chen
- Department of Neurosurgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Xiao-Lin Zhang
- Department of Neurosurgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Dong-Sheng Guo
- Department of Neurosurgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Bin Zhang
- Department of Physiology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Xi-Miao He
- Department of Physiology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Feng Wan
- Department of Neurosurgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
- Department of Neurosurgery, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China.
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238
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Hettinger ZR, Confides AL, Vanderklish PW, Dupont‐Versteegden EE. The transcript interactome of skeletal muscle RNA binding protein motif 3 (RBM3). Physiol Rep 2023; 11:e15596. [PMID: 36750123 PMCID: PMC9904958 DOI: 10.14814/phy2.15596] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2023] [Revised: 01/13/2023] [Accepted: 01/18/2023] [Indexed: 02/09/2023] Open
Abstract
Post-transcriptional regulation of gene expression represents a critical regulatory step in the production of a functional proteome. Elevated expression of post-transcriptional regulator RNA binding motif protein 3 (RBM3), an RNA binding protein in the cold-shock family, is positively correlated with skeletal muscle growth in adult mice. However, mechanisms through which RBM3 exerts its effects are largely unknown. The purpose of this study was to perform RNA immunoprecipitation followed by RNA sequencing (RIP-seq) and apply a network science approach to understand biological processes (BPs) most associated with RBM3-bound mRNAs. In addition, through nucleotide-sequence-scanning of enriched transcripts, we predicted the motif for skeletal muscle RBM3 binding. Gene set enrichment analysis followed by enrichment mapping of RBM3-bound transcripts (fold change >3; p.adj <0.01) revealed significant enrichment of BPs associated with "Contractile apparatus," "Translation initiation," and "Proteosome complex." Clusters were driven largely by enrichment of Myh1 (FC: 4.43), Eif4b (FC: 5.03), and Trim63 (FC: 5.84), respectively. Motif scanning of enriched sequences revealed a discrete 14 nucleotide-wide motif found most prominently at the junction between the protein coding region's termination sequence and the start of the 3' untranslated region (UTR; E-Value: 1.1 e-015 ). Proof of concept investigation of motif location along enriched transcripts Myh1 and Myl4 revealed 3' UTR binding, suggesting RBM3 involvement in transcript half-life regulation. Together, these results demonstrate the potential influence of RBM3 in reshaping the skeletal muscle proteome through post-transcriptional regulation of mRNAs crucial to muscle adaptations.
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Affiliation(s)
- Zachary R. Hettinger
- Department of Physical Therapy, College of Health SciencesUniversity of KentuckyLexingtonKentuckyUSA
- Center for Muscle BiologyUniversity of KentuckyLexingtonKentuckyUSA
- Present address:
Department of Physical Medicine & RehabilitationHarvard Medical SchoolBostonMassachusettsUSA
| | - Amy L. Confides
- Department of Physical Therapy, College of Health SciencesUniversity of KentuckyLexingtonKentuckyUSA
- Center for Muscle BiologyUniversity of KentuckyLexingtonKentuckyUSA
| | | | - Esther E. Dupont‐Versteegden
- Department of Physical Therapy, College of Health SciencesUniversity of KentuckyLexingtonKentuckyUSA
- Center for Muscle BiologyUniversity of KentuckyLexingtonKentuckyUSA
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239
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Agarwal A, Bahadur RP. Modular architecture and functional annotation of human RNA-binding proteins containing RNA recognition motif. Biochimie 2023; 209:116-130. [PMID: 36716848 DOI: 10.1016/j.biochi.2023.01.017] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2022] [Revised: 01/09/2023] [Accepted: 01/23/2023] [Indexed: 01/28/2023]
Abstract
RNA-binding proteins (RBPs) are structurally and functionally diverse macromolecules with significant involvement in several post-transcriptional gene regulatory processes and human diseases. RNA recognition motif (RRM) is one of the most abundant RNA-binding domains in human RBPs. The unique modular architecture of each RBP containing RRM is crucial for its diverse target recognition and function. Genome-wide study of these structurally conserved and functionally diverse domains can enhance our understanding of their functional implications. In this study, modular architecture of RRM containing RBPs in human proteome is identified and systematically analysed. We observe that 30% of human RBPs with RNA-binding function contain RRM in single or multiple repeats or with other domains with maximum of six repeats. Zinc-fingers are the most frequently co-occurring domain partner of RRMs. Human RRM containing RBPs mostly belong to RNA metabolism class of proteins and are significantly enriched in two functional pathways including spliceosome and mRNA surveillance. Various human diseases are associated with 18% of the RRM containing RBPs. Single RRM containing RBPs are highly enriched in disorder regions. Gene ontology (GO) molecular functions including poly(A), poly(U) and miRNA binding are highly depleted in RBPs with single RRM, indicating the significance of modular nature of RRMs in specific function. The current study reports all the possible domain architectures of RRM containing human RBPs and their functional enrichment. The idea of domain architecture, and how they confer specificity and new functionalities to RBPs, can help in re-designing of modular RRM containing RBPs with re-engineered function.
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Affiliation(s)
- Ankita Agarwal
- School of Bio Science, Indian Institute of Technology Kharagpur, Kharagpur 721302, India; Computational Structural Biology Laboratory, Department of Biotechnology, Indian Institute of Technology Kharagpur, Kharagpur 721302, India
| | - Ranjit Prasad Bahadur
- Computational Structural Biology Laboratory, Department of Biotechnology, Indian Institute of Technology Kharagpur, Kharagpur 721302, India.
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240
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Zhu Z, Ni S, Zhang J, Yuan Y, Bai Y, Yin X, Zhu Z. Genome-wide analysis of dysregulated RNA-binding proteins and alternative splicing genes in keloid. Front Genet 2023; 14:1118999. [PMID: 36777722 PMCID: PMC9908963 DOI: 10.3389/fgene.2023.1118999] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2022] [Accepted: 01/19/2023] [Indexed: 01/27/2023] Open
Abstract
Introduction: The pathogenesis of keloids remains unclear. Methods: In this study, we analyzed RNA-Seq data (GSE113619) of the local skin tissue of 8 keloid-prone individuals (KPI) and 6 healthy controls (HC) before and 42 days after trauma from the gene expression omnibus (GEO) database. The differential alternative splicing (AS) events associated with trauma healing between KPIs and HCs were identifified, and their functional differences were analyzed by gene ontology (GO) and kyoto encyclopedia of genes and genomes (KEGG) pathways. The co-expression relationship of differentially alternative splicing genes and differentially expressed RNA binding proteins (RBPs) was established subsequently. Results: A total of 674 differential AS events between the KD42 and the KD0 and 378 differential AS events between the HD42 and the HD0 were discovered. Notably, most of the differential genes related to keloids are enriched in actin, microtubule cells, and cortical actin cytoskeletal tissue pathway. We observed a signifificant association between AS genes (EPB41, TPM1, NF2, PARD3) and trauma healing in KPIs and HCs. We also found that the differential expression of healthy controls-specifific trauma healing-related RBPs (TKT, FDPS, SAMHD1) may affect the response of HCs to trauma healing by regulating the AS of downstream trauma healing-related genes such as DCN and DST. In contrast, KPIs also has specifific differential expression of trauma healing related RBPs (S100A9, HspB1, LIMA1, FBL), which may affect the healing response of KPIs to trauma by regulating the AS of downstream trauma healing-related genes such as FN1 and TPM1. Discussion: Our results were innovative in revealing early wound healing-related genes (EPB41, TPM1, NF2, PARD3) in KPI from the perspective of AS regulated by RBPs.
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Affiliation(s)
- Zhen Zhu
- Hangzhou Plastic Surgery Hospital, Hangzhou, China
| | - Shuangying Ni
- Department of Dermatology, The First Affiliated Hospital, Institute of Dermatology, Anhui Medical University, Hefei, China,The Key Laboratory of Dermatology, Ministry of Education, Anhui Medical University, Hefei, China
| | - Jiali Zhang
- Department of Dermatology, The First Affiliated Hospital, Institute of Dermatology, Anhui Medical University, Hefei, China,The Key Laboratory of Dermatology, Ministry of Education, Anhui Medical University, Hefei, China
| | - Ying Yuan
- Department of Dermatology, The First Affiliated Hospital, Institute of Dermatology, Anhui Medical University, Hefei, China,The Key Laboratory of Dermatology, Ministry of Education, Anhui Medical University, Hefei, China
| | - Yun Bai
- Department of Plastic Surgery, The First Affiliated Hospital, Anhui Medical University, Hefei, China
| | - Xueli Yin
- Functional Experiment Center, School of Basic Medical Sciences, Anhui Medical University, Hefei, China
| | - Zhengwei Zhu
- Department of Dermatology, The First Affiliated Hospital, Institute of Dermatology, Anhui Medical University, Hefei, China,The Key Laboratory of Dermatology, Ministry of Education, Anhui Medical University, Hefei, China,*Correspondence: Zhengwei Zhu,
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241
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Domingo-Muelas A, Duart-Abadia P, Morante-Redolat JM, Jordán-Pla A, Belenguer G, Fabra-Beser J, Paniagua-Herranz L, Pérez-Villalba A, Álvarez-Varela A, Barriga FM, Gil-Sanz C, Ortega F, Batlle E, Fariñas I. Post-transcriptional control of a stemness signature by RNA-binding protein MEX3A regulates murine adult neurogenesis. Nat Commun 2023; 14:373. [PMID: 36690670 PMCID: PMC9871011 DOI: 10.1038/s41467-023-36054-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2022] [Accepted: 01/12/2023] [Indexed: 01/25/2023] Open
Abstract
Neural stem cells (NSCs) in the adult murine subependymal zone balance their self-renewal capacity and glial identity with the potential to generate neurons during the lifetime. Adult NSCs exhibit lineage priming via pro-neurogenic fate determinants. However, the protein levels of the neural fate determinants are not sufficient to drive direct differentiation of adult NSCs, which raises the question of how cells along the neurogenic lineage avoid different conflicting fate choices, such as self-renewal and differentiation. Here, we identify RNA-binding protein MEX3A as a post-transcriptional regulator of a set of stemness associated transcripts at critical transitions in the subependymal neurogenic lineage. MEX3A regulates a quiescence-related RNA signature in activated NSCs that is needed for their return to quiescence, playing a role in the long-term maintenance of the NSC pool. Furthermore, it is required for the repression of the same program at the onset of neuronal differentiation. Our data indicate that MEX3A is a pivotal regulator of adult murine neurogenesis acting as a translational remodeller.
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Grants
- EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 European Research Council (H2020 Excellent Science - European Research Council)
- Ministerio de Ciencia e Innovación (MICINN, Spain) - PID2020-119917RB-I00.
- Regional Government of Valencia | Conselleria d'Educació, Investigació, Cultura i Esport (Conselleria d'Educació, Investigació, Cultura i Esport de la Generalitat Valenciana)
- Ministerio de Ciencia e Innovación (MICINN, Spain) - PID2020-117937GB-I00, PID2020-119917RB-I00, PID 2019-109155RB-I00, PID2020-114227RB-I00, RyC-2015-19058, PRE2018-084838. Centro de Investigación Biomédica en Red Enfermedades Neurodegenerativas (CIBERNED, Spain) - MICINN- CB06/05/0086.
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Affiliation(s)
- Ana Domingo-Muelas
- Departamento de Biología Celular, Biología Funcional y Antropología Física, Universidad de Valencia, Valencia, Spain
- Instituto de Biotecnología y Biomedicina (BIOTECMED), Universidad de Valencia, Valencia, Spain
- Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), Valencia, Spain
| | - Pere Duart-Abadia
- Departamento de Biología Celular, Biología Funcional y Antropología Física, Universidad de Valencia, Valencia, Spain
- Instituto de Biotecnología y Biomedicina (BIOTECMED), Universidad de Valencia, Valencia, Spain
- Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), Valencia, Spain
| | - Jose Manuel Morante-Redolat
- Departamento de Biología Celular, Biología Funcional y Antropología Física, Universidad de Valencia, Valencia, Spain
- Instituto de Biotecnología y Biomedicina (BIOTECMED), Universidad de Valencia, Valencia, Spain
- Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), Valencia, Spain
| | - Antonio Jordán-Pla
- Instituto de Biotecnología y Biomedicina (BIOTECMED), Universidad de Valencia, Valencia, Spain
| | - Germán Belenguer
- Departamento de Biología Celular, Biología Funcional y Antropología Física, Universidad de Valencia, Valencia, Spain
- Instituto de Biotecnología y Biomedicina (BIOTECMED), Universidad de Valencia, Valencia, Spain
- Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), Valencia, Spain
| | - Jaime Fabra-Beser
- Departamento de Biología Celular, Biología Funcional y Antropología Física, Universidad de Valencia, Valencia, Spain
- Instituto de Biotecnología y Biomedicina (BIOTECMED), Universidad de Valencia, Valencia, Spain
| | - Lucía Paniagua-Herranz
- Departamento de Bioquímica y Biología Molecular, Universidad Complutense de Madrid (UCM), Madrid, Spain
- Instituto Universitario de Investigación en Neuroquímica (IUIN), Madrid, Spain
- Instituto de Investigación Sanitaria San Carlos (IdISSC), Madrid, Spain
| | - Ana Pérez-Villalba
- Departamento de Biología Celular, Biología Funcional y Antropología Física, Universidad de Valencia, Valencia, Spain
- Instituto de Biotecnología y Biomedicina (BIOTECMED), Universidad de Valencia, Valencia, Spain
- Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), Valencia, Spain
| | - Adrián Álvarez-Varela
- Institute for Research in Biomedicine (IRB Barcelona), Barcelona, Spain
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Barcelona, Spain
| | - Francisco M Barriga
- Institute for Research in Biomedicine (IRB Barcelona), Barcelona, Spain
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Barcelona, Spain
| | - Cristina Gil-Sanz
- Departamento de Biología Celular, Biología Funcional y Antropología Física, Universidad de Valencia, Valencia, Spain
- Instituto de Biotecnología y Biomedicina (BIOTECMED), Universidad de Valencia, Valencia, Spain
- Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), Valencia, Spain
| | - Felipe Ortega
- Departamento de Bioquímica y Biología Molecular, Universidad Complutense de Madrid (UCM), Madrid, Spain
- Instituto Universitario de Investigación en Neuroquímica (IUIN), Madrid, Spain
- Instituto de Investigación Sanitaria San Carlos (IdISSC), Madrid, Spain
| | - Eduard Batlle
- Institute for Research in Biomedicine (IRB Barcelona), Barcelona, Spain.
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Barcelona, Spain.
- ICREA, Barcelona, Spain.
| | - Isabel Fariñas
- Departamento de Biología Celular, Biología Funcional y Antropología Física, Universidad de Valencia, Valencia, Spain.
- Instituto de Biotecnología y Biomedicina (BIOTECMED), Universidad de Valencia, Valencia, Spain.
- Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), Valencia, Spain.
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242
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Zhang L, Lu C, Zeng M, Li Y, Wang J. CRMSS: predicting circRNA-RBP binding sites based on multi-scale characterizing sequence and structure features. Brief Bioinform 2023; 24:6889442. [PMID: 36511222 DOI: 10.1093/bib/bbac530] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2022] [Revised: 11/01/2022] [Accepted: 11/07/2022] [Indexed: 12/14/2022] Open
Abstract
Circular RNAs (circRNAs) are reverse-spliced and covalently closed RNAs. Their interactions with RNA-binding proteins (RBPs) have multiple effects on the progress of many diseases. Some computational methods are proposed to identify RBP binding sites on circRNAs but suffer from insufficient accuracy, robustness and explanation. In this study, we first take the characteristics of both RNA and RBP into consideration. We propose a method for discriminating circRNA-RBP binding sites based on multi-scale characterizing sequence and structure features, called CRMSS. For circRNAs, we use sequence ${k}\hbox{-}{mer}$ embedding and the forming probabilities of local secondary structures as features. For RBPs, we combine sequence and structure frequencies of RNA-binding domain regions to generate features. We capture binding patterns with multi-scale residual blocks. With BiLSTM and attention mechanism, we obtain the contextual information of high-level representation for circRNA-RBP binding. To validate the effectiveness of CRMSS, we compare its predictive performance with other methods on 37 RBPs. Taking the properties of both circRNAs and RBPs into account, CRMSS achieves superior performance over state-of-the-art methods. In the case study, our model provides reliable predictions and correctly identifies experimentally verified circRNA-RBP pairs. The code of CRMSS is freely available at https://github.com/BioinformaticsCSU/CRMSS.
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Affiliation(s)
- Lishen Zhang
- Hunan Provincial Key Lab on Bioinformatics, School of Computer Science and Engineering, Central South University, China
| | - Chengqian Lu
- Hunan Provincial Key Lab on Bioinformatics, School of Computer Science and Engineering, Central South University, China
| | - Min Zeng
- Hunan Provincial Key Lab on Bioinformatics, School of Computer Science and Engineering, Central South University, China
| | - Yaohang Li
- Department of Computer Science at Old Dominion University, USA
| | - Jianxin Wang
- Hunan Provincial Key Lab on Bioinformatics, School of Computer Science and Engineering, Central South University, China
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243
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Molitor L, Klostermann M, Bacher S, Merl-Pham J, Spranger N, Burczyk S, Ketteler C, Rusha E, Tews D, Pertek A, Proske M, Busch A, Reschke S, Feederle R, Hauck S, Blum H, Drukker M, Fischer-Posovszky P, König J, Zarnack K, Niessing D. Depletion of the RNA-binding protein PURA triggers changes in posttranscriptional gene regulation and loss of P-bodies. Nucleic Acids Res 2023; 51:1297-1316. [PMID: 36651277 PMCID: PMC9943675 DOI: 10.1093/nar/gkac1237] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2022] [Revised: 12/07/2022] [Accepted: 12/13/2022] [Indexed: 01/19/2023] Open
Abstract
The RNA-binding protein PURA has been implicated in the rare, monogenetic, neurodevelopmental disorder PURA Syndrome. PURA binds both DNA and RNA and has been associated with various cellular functions. Only little is known about its main cellular roles and the molecular pathways affected upon PURA depletion. Here, we show that PURA is predominantly located in the cytoplasm, where it binds to thousands of mRNAs. Many of these transcripts change abundance in response to PURA depletion. The encoded proteins suggest a role for PURA in immune responses, mitochondrial function, autophagy and processing (P)-body activity. Intriguingly, reduced PURA levels decrease the expression of the integral P-body components LSM14A and DDX6 and strongly affect P-body formation in human cells. Furthermore, PURA knockdown results in stabilization of P-body-enriched transcripts, whereas other mRNAs are not affected. Hence, reduced PURA levels, as reported in patients with PURA Syndrome, influence the formation and composition of this phase-separated RNA processing machinery. Our study proposes PURA Syndrome as a new model to study the tight connection between P-body-associated RNA regulation and neurodevelopmental disorders.
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Affiliation(s)
| | | | - Sabrina Bacher
- Institute of Structural Biology, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764 Neuherberg, Germany
| | - Juliane Merl-Pham
- Metabolomics and Proteomics Core, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764 Neuherberg, Germany
| | - Nadine Spranger
- Institute of Structural Biology, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764 Neuherberg, Germany
| | - Sandra Burczyk
- Institute of Pharmaceutical Biotechnology, Ulm University, 89081 Ulm, Germany
| | - Carolin Ketteler
- Institute of Structural Biology, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764 Neuherberg, Germany
| | - Ejona Rusha
- Induced Pluripotent Stem Cell Core Facility, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764 Neuherberg, Germany
| | - Daniel Tews
- Department of Pediatrics and Adolescent Medicine, Ulm University Medical Center, 89070 Ulm, Germany
| | - Anna Pertek
- Induced Pluripotent Stem Cell Core Facility, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764 Neuherberg, Germany
| | - Marcel Proske
- Institute of Structural Biology, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764 Neuherberg, Germany,Institute of Pharmaceutical Biotechnology, Ulm University, 89081 Ulm, Germany
| | - Anke Busch
- Institute of Molecular Biology (IMB), 55128 Mainz, Germany
| | - Sarah Reschke
- Laboratory for Functional Genome Analysis, Gene Center, Ludwig-Maximilians University Munich, 81377 Munich, Germany
| | - Regina Feederle
- Monoclonal Antibody Core Facility, Institute for Diabetes and Obesity, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764 Neuherberg, Germany
| | - Stefanie M Hauck
- Metabolomics and Proteomics Core, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764 Neuherberg, Germany
| | - Helmut Blum
- Laboratory for Functional Genome Analysis, Gene Center, Ludwig-Maximilians University Munich, 81377 Munich, Germany
| | - Micha Drukker
- Institute of Stem Cell Research, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764 Neuherberg, Germany,Division of Drug Discovery and Safety, Leiden Academic Centre for Drug Research (LACDR), Leiden University, 2333 CC Leiden, The Netherlands
| | - Pamela Fischer-Posovszky
- Department of Pediatrics and Adolescent Medicine, Ulm University Medical Center, 89070 Ulm, Germany
| | - Julian König
- Institute of Molecular Biology (IMB), 55128 Mainz, Germany
| | - Kathi Zarnack
- Correspondence may also be addressed to Kathi Zarnack. Tel: +49 69 798 42506; Fax: +49 69 798 763 42506;
| | - Dierk Niessing
- To whom correspondence should be addressed. Tel: +49 731 50 23160; Fax: +49 731 50 23169;
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244
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Yth m 6A RNA-Binding Protein 1 Regulates Osteogenesis of MC3T3-E1 Cells under Hypoxia via Translational Control of Thrombospondin-1. Int J Mol Sci 2023; 24:ijms24021741. [PMID: 36675257 PMCID: PMC9863954 DOI: 10.3390/ijms24021741] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2022] [Revised: 12/29/2022] [Accepted: 01/06/2023] [Indexed: 01/18/2023] Open
Abstract
Peri-implantitis is a major factor affecting implant prognosis, and the specific anatomy of the peri-implant area makes it more vulnerable to the local hypoxic environment caused by inflammation. N6-methyladenosine (m6A) plays a vital role in a multitude of biological processes, and its main "reader" Yth m6A RNA-binding protein 1 (YTHDF1) is suggested to affect osteogenic differentiation. However, the mechanism underlying the effect of YTHDF1 on osteogenic differentiation under hypoxic conditions remains unclear. To address this question, we examined the expression of YTHDF1 under hypoxia and observed that hypoxia suppressed osteogenic differentiation but promoted the expression of YTHDF1. Then we knocked down YTHDF1 and found decreased levels of osteogenic-related markers, alkaline phosphatase (ALP) activity, and alizarin red staining (ARS) under normoxia or hypoxia treatment. Bioinformatics analysis identified Thrombospondin-1 (THBS1) might be a downstream factor of YTHDF1. The results revealed that YTHDF1 enhanced the stability of THBS1 mRNA, and immunofluorescence assays found co-localization with YTHDF1 and THBS1 under hypoxia. Loss of function studies showed knocking down YTHDF1 or THBS1 exacerbated the osteogenic inhibition caused by hypoxia. All data imply that hypoxia suppresses osteogenic differentiation and promotes the expression of YTHDF1, which translationally regulates THBS1 in an m6A-dependent manner, potentially counteracting hypoxia-induced osteogenic inhibition through the YTHDF1/THBS1 pathway. The results of this study reveal for the first time the molecular mechanism of the regulation of osteogenic differentiation by YTHDF1 under hypoxia and suggest that YTHDF1, together with its downstream factor THBS1, may be critical targets to counteract osteogenic inhibition under hypoxic conditions, providing promising therapeutic strategy for the hypoxia-induced bone loss in peri-implantitis.
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245
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Xiao Y, Li M, Ma T, Ning H, Liu L. AMG232 inhibits angiogenesis in glioma through the p53-RBM4-VEGFR2 pathway. J Cell Sci 2023; 136:jcs260270. [PMID: 36601864 DOI: 10.1242/jcs.260270] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2022] [Accepted: 12/21/2022] [Indexed: 01/06/2023] Open
Abstract
AMG232 effectively inhibits cancers with wild-type p53 (also known as TP53) by reactivating p53, but whether it inhibits glioma angiogenesis remains unclear. This study confirms that AMG232 inhibits the proliferation of glioma endothelial cells (GECs) in a dose-dependent manner and inhibits the angiogenesis of GECs. p53 and RNA-binding motif protein 4 (RBM4) were expressed at low levels in GECs, while MDM2 and vascular endothelial growth factor receptor 2 (VEGFR2, also known as KDR) were highly expressed. In vitro and in vivo experiments confirmed that AMG232 upregulated p53 and RBM4, and downregulated MDM2 and VEGFR2 by blocking the MDM2-p53 interaction. Both p53 silencing and RBM4 silencing significantly upregulated the expression of VEGFR2, promoted the proliferation, migration and tube formation of GECs, and reversed the effects of AMG232 on downregulating VEGFR2 and inhibiting the angiogenesis of GECs. AMG232 increased RBM4 expression by upregulating p53, and p53 bound to RBM4 and promoted its transcription. RBM4 bound to and shortened the half-life of VEGFR2, promoting its degradation. Finally, AMG232 produced a significant decrease in new vessels and hemoglobin content in vivo. This study proves that AMG232 inhibits glioma angiogenesis by blocking the MDM2-p53 interaction, in which the p53-RBM4-VEGFR2 pathway plays an important role.
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Affiliation(s)
- Yao Xiao
- Department of Neurobiology, School of Life Sciences, China Medical University, Shenyang 110122, People's Republic of China
| | - Mingliang Li
- Department of Neurobiology, School of Life Sciences, China Medical University, Shenyang 110122, People's Republic of China
| | - Teng Ma
- Department of Neurobiology, School of Life Sciences, China Medical University, Shenyang 110122, People's Republic of China
| | - Hao Ning
- Department of Neurobiology, School of Life Sciences, China Medical University, Shenyang 110122, People's Republic of China
| | - Libo Liu
- Department of Neurobiology, School of Life Sciences, China Medical University, Shenyang 110122, People's Republic of China
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246
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Wang L, Zhang X, Sheng J, Chen L, Zhi L, Zheng Q, Qi Y, Wang L, Zhang J, Zhao J, Wang Y, Liu SX, Sun MZ, Zhang W. RBM4 regulates cellular senescence via miR1244/SERPINE1 axis. Cell Death Dis 2023; 14:27. [PMID: 36639375 PMCID: PMC9839707 DOI: 10.1038/s41419-023-05563-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2022] [Revised: 01/04/2023] [Accepted: 01/05/2023] [Indexed: 01/15/2023]
Abstract
Cellular senescence serves as a powerful tumor suppressing mechanism that inhibits the proliferation of cancer cells bearing oncogenic mutations at the initial stage of cancer development. RNA-binding proteins (RBPs) play important roles in cancer progression and treatment through distinct functions. However, functions and mechanisms of RNA binding proteins in regulating senescence remain elusive. Here we reported that the RNA binding protein RBM4 contributed to cellular senescence. Depletion of RBM4 induced senescence in different types of cells, including multiple cancer cells. Meanwhile, RBM4 ablation inhibited cancer cell progression both in vitro and in vivo. Specifically, knockdown of RBM4 significantly increased the level of SERPINE1, a known promoter of senescence, thereby inducing the senescence of lung cancer cells. Mechanistically, miR-1244 bound to the 3'-UTR of SERPINE1 to suppress its expression, whereas depletion of RBM4 reduced the level of miR-1244 by promoting the degradation of primary miR-1244 transcripts (pri-miR1244), thus increasing the expression of SERPINE1 and inducing subsequent senescence. Moreover, either SERPINE1 inhibitor or miR-1244 mimics attenuated the RBM4 depletion-induced senescence. Altogether, our study revealed a novel mechanism of RBM4 in the regulation of cancer progression through controlling senescence, providing a new avenue for targeting RBM4 in cancer therapeutics.
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Affiliation(s)
- Luning Wang
- Institute of Cancer Stem Cell, Dalian Medical University, Dalian, 116044, China
| | - Xiaohong Zhang
- Department of Biotechnology, College of Basic Medical Sciences, Dalian Medical University, Dalian, 116044, China
| | - Junxiu Sheng
- Department of Radiation Oncology, First Affiliated Hospital of Dalian Medical University, Dalian, 116044, China
| | - Lei Chen
- Institute of Cancer Stem Cell, Dalian Medical University, Dalian, 116044, China
| | - Lili Zhi
- Institute of Cancer Stem Cell, Dalian Medical University, Dalian, 116044, China
| | - Qianqian Zheng
- Institute of Cancer Stem Cell, Dalian Medical University, Dalian, 116044, China
| | - Yangfan Qi
- Institute of Cancer Stem Cell, Dalian Medical University, Dalian, 116044, China
| | - Linlin Wang
- Institute of Cancer Stem Cell, Dalian Medical University, Dalian, 116044, China
| | - Jinrui Zhang
- Institute of Cancer Stem Cell, Dalian Medical University, Dalian, 116044, China
| | - Jinyao Zhao
- Institute of Cancer Stem Cell, Dalian Medical University, Dalian, 116044, China
| | - Yang Wang
- Institute of Cancer Stem Cell, Dalian Medical University, Dalian, 116044, China
| | - Shu-Xin Liu
- Department of Nephrology, Dalian Municipal Central Hospital, Dalian Medical University, Dalian, 116033, China.
| | - Ming-Zhong Sun
- Department of Biotechnology, College of Basic Medical Sciences, Dalian Medical University, Dalian, 116044, China.
| | - Wenjing Zhang
- Institute of Cancer Stem Cell, Dalian Medical University, Dalian, 116044, China.
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247
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Dumesic PA, Wilensky SE, Bose S, Van Vranken JG, Gygi SP, Spiegelman BM. RBM43 links adipose inflammation and energy expenditure through translational regulation of PGC1α. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.01.06.522985. [PMID: 36712038 PMCID: PMC9881917 DOI: 10.1101/2023.01.06.522985] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
Adipose thermogenesis involves specialized mitochondrial function that counteracts metabolic disease through dissipation of chemical energy as heat. However, inflammation present in obese adipose tissue can impair oxidative metabolism. Here, we show that PGC1α, a key governor of mitochondrial biogenesis and thermogenesis, is negatively regulated at the level of mRNA translation by the little-known RNA-binding protein RBM43. Rbm43 is expressed selectively in white adipose depots that have low thermogenic potential, and is induced by inflammatory cytokines. RBM43 suppresses mitochondrial and thermogenic gene expression in a PGC1α-dependent manner and its loss protects cells from cytokine-induced mitochondrial impairment. In mice, adipocyte-selective Rbm43 disruption increases PGC1α translation, resulting in mitochondrial biogenesis and adipose thermogenesis. These changes are accompanied by improvements in glucose homeostasis during diet-induced obesity that are independent of body weight. The action of RBM43 suggests a translational mechanism by which inflammatory signals associated with metabolic disease dampen mitochondrial function and thermogenesis.
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248
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Xiao Y, Xu D, Jiang C, Huili Y, Nie S, Zhu H, Fan G, Guan X. Telomere maintenance-related genes are important for survival prediction and subtype identification in bladder cancer. Front Genet 2023; 13:1087246. [PMID: 36685927 PMCID: PMC9853053 DOI: 10.3389/fgene.2022.1087246] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Accepted: 12/20/2022] [Indexed: 01/09/2023] Open
Abstract
Background: Bladder cancer ranks among the top three in the urology field for both morbidity and mortality. Telomere maintenance-related genes are closely related to the development and progression of bladder cancer, and approximately 60%-80% of mutated telomere maintenance genes can usually be found in patients with bladder cancer. Methods: Telomere maintenance-related gene expression profiles were obtained through limma R packages. Of the 359 differential genes screened, 17 prognostically relevant ones were obtained by univariate independent prognostic analysis, and then analysed by LASSO regression. The best result was selected to output the model formula, and 11 model-related genes were obtained. The TCGA cohort was used as the internal group and the GEO dataset as the external group, to externally validate the model. Then, the HPA database was used to query the immunohistochemistry of the 11 model genes. Integrating model scoring with clinical information, we drew a nomogram. Concomitantly, we conducted an in-depth analysis of the immune profile and drug sensitivity of the bladder cancer. Referring to the matrix heatmap, delta area plot, consistency cumulative distribution function plot, and tracking plot, we further divided the sample into two subtypes and delved into both. Results: Using bioinformatics, we obtained a prognostic model of telomere maintenance-related genes. Through verification with the internal and the external groups, we believe that the model can steadily predict the survival of patients with bladder cancer. Through the HPA database, we found that three genes, namely ABCC9, AHNAK, and DIP2C, had low expression in patients with tumours, and eight other genes-PLOD1, SLC3A2, RUNX2, RAD9A, CHMP4C, DARS2, CLIC3, and POU5F1-were highly expressed in patients with tumours. The model had accurate predictive power for populations with different clinicopathological features. Through the nomogram, we could easily assess the survival rate of patients. Clinicians can formulate targeted diagnosis and treatment plans for patients based on the prediction results of patient survival, immunoassays, and drug susceptibility analysis. Different subtypes help to further subdivide patients for better treatment purposes. Conclusion: According to the results obtained by the nomogram in this study, combined with the results of patient immune-analysis and drug susceptibility analysis, clinicians can formulate diagnosis and personalized treatment plans for patients. Different subtypes can be used to further subdivide the patient for a more precise treatment plan.
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Affiliation(s)
- Yonggui Xiao
- Affiliated Hospital of North China University of Science and Technology, Tangshan, China
| | - Danping Xu
- Sichuan Academy of Medical Sciences and Sichuan Provincial People’s Hospital, Chengdu, China
| | - Chonghao Jiang
- Affiliated Hospital of North China University of Science and Technology, Tangshan, China
| | - Youlong Huili
- Affiliated Hospital of North China University of Science and Technology, Tangshan, China
| | - Shiwen Nie
- Affiliated Hospital of North China University of Science and Technology, Tangshan, China
| | - Hongfei Zhu
- Affiliated Hospital of North China University of Science and Technology, Tangshan, China
| | - Guorui Fan
- Affiliated Hospital of North China University of Science and Technology, Tangshan, China
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249
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Yin W, Lei Y, Yang X, Zou J. A two-gene random forest model to diagnose osteoarthritis based on RNA-binding protein-related genes in knee cartilage tissue. Aging (Albany NY) 2023; 15:193-212. [PMID: 36641761 PMCID: PMC9876643 DOI: 10.18632/aging.204469] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2022] [Accepted: 12/20/2022] [Indexed: 01/16/2023]
Abstract
Osteoarthritis (OA) is one of the most common diseases in the orthopedic clinic, characterized by progressive cartilage degradation. RNA-binding proteins (RBPs) are capable of binding to RNAs at transcription and translation levels, playing an important role in the pathogenesis of OA. This study aims to investigate the diagnosis values of RBP-related genes in OA. The RBPs were collected from previous studies, and the GSE114007 dataset (control = 18, OA = 20) was downloaded from the Gene Expression Omnibus (GEO) as the training cohort. Through various bioinformatical and machine learning methods, including genomic difference detection, protein-protein interaction network analyses, Lasso regression, univariate logistic regression, Boruta algorithm, and SVM-RFE, RNMT and RBM24 were identified and then included into the random forest (RF) diagnosis model. GSE117999 dataset (control = 10, OA = 10) and clinical samples collected from local hospital (control = 10, OA = 11) were used for external validation. The RF model was a promising tool to diagnose OA in the training dataset (area under curve [AUC] = 1.000, 95% confidence interval [CI] = 1.000-1.000), the GSE117999 cohort (AUC = 0.900, 95% CI = 0.769-1.000), and local samples (AUC = 0.759, 95% CI = 0.568-0.951). Besides, qPCR and Western Blotting experiments showed that RNMT (P < 0.05) and RBM24 (P < 0.01) were both down-regulated in CHON-001 cells with IL-1β treatment. In all, an RF model to diagnose OA based on RNMT and RBM24 in cartilage tissue was constructed, providing a promising clinical tool and possible cut-in points in molecular mechanism clarification.
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Affiliation(s)
- Wenhua Yin
- Department of Orthopaedics, Yuebei People’s Hospital Affiliated to Medical College of Shantou University, Shaoguan, Guangdong 512026, China
| | - Ying Lei
- Department of Audit, Yuebei People’s Hospital Affiliated to Medical College of Shantou University, Shaoguan, Guangdong 512026, China
| | - Xuan Yang
- Department of Orthopaedics, Yuebei People’s Hospital Affiliated to Medical College of Shantou University, Shaoguan, Guangdong 512026, China
| | - Jiawei Zou
- Department of Orthopaedics, Yuebei People’s Hospital Affiliated to Medical College of Shantou University, Shaoguan, Guangdong 512026, China
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250
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Huang W, Zhang QC. Prediction of Dynamic RBP-RNA Interactions Using PrismNet. Methods Mol Biol 2023; 2568:123-132. [PMID: 36227565 DOI: 10.1007/978-1-0716-2687-0_8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
A capacity to detect the binding profiles of RNA targets for an RNA-binding protein (RBP) under different cellular conditions is essential to understand the functions of the RBP in posttranscriptional regulation. However, the prediction of RBP binding sites in vivo remains challenging. Tools that predict RBP-RNA interactions using sequence and/or predicted structures cannot reflect the exact state of RNA in vivo. PrismNet, which uses both sequences and in vivo RNA structure information from probing experiments, can accurately predict RBP binding under different cellular conditions by deep learning, and can be applied for functional studies of RBPs. Here, we provide a detailed protocol showing how to train a PrismNet model of RBP-RNA interactions for an RBP, and how to apply the model for predictions of the RBP binding under different conditions.
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Affiliation(s)
- Wenze Huang
- MOE Key Laboratory of Bioinformatics, Center for Synthetic and Systems Biology, School of Life Sciences, Tsinghua University, Beijing, China
- Beijing Advanced Innovation Center for Structural Biology & Frontier Research Center for Biological Structure, School of Life Sciences, Tsinghua University, Beijing, China
- Tsinghua-Peking Center for Life Sciences, Beijing, China
| | - Qiangfeng Cliff Zhang
- MOE Key Laboratory of Bioinformatics, Center for Synthetic and Systems Biology, School of Life Sciences, Tsinghua University, Beijing, China.
- Beijing Advanced Innovation Center for Structural Biology & Frontier Research Center for Biological Structure, School of Life Sciences, Tsinghua University, Beijing, China.
- Tsinghua-Peking Center for Life Sciences, Beijing, China.
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