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Chen L, Kong X, Johnston KG, Mortazavi A, Holmes TC, Tan Z, Yokomori K, Xu X. Single-cell spatial transcriptomics reveals a dystrophic trajectory following a developmental bifurcation of myoblast cell fates in facioscapulohumeral muscular dystrophy. Genome Res 2024; 34:665-679. [PMID: 38777608 PMCID: PMC11216401 DOI: 10.1101/gr.278717.123] [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: 11/09/2023] [Accepted: 05/17/2024] [Indexed: 05/25/2024]
Abstract
Facioscapulohumeral muscular dystrophy (FSHD) is linked to abnormal derepression of the transcription activator DUX4. This effect is localized to a low percentage of cells, requiring single-cell analysis. However, single-cell/nucleus RNA-seq cannot fully capture the transcriptome of multinucleated large myotubes. To circumvent these issues, we use multiplexed error-robust fluorescent in situ hybridization (MERFISH) spatial transcriptomics that allows profiling of RNA transcripts at a subcellular resolution. We simultaneously examined spatial distributions of 140 genes, including 24 direct DUX4 targets, in in vitro differentiated myotubes and unfused mononuclear cells (MNCs) of control, isogenic D4Z4 contraction mutant and FSHD patient samples, as well as the individual nuclei within them. We find myocyte nuclei segregate into two clusters defined by the expression of DUX4 target genes, which is exclusively found in patient/mutant nuclei, whereas MNCs cluster based on developmental states. Patient/mutant myotubes are found in "FSHD-hi" and "FSHD-lo" states with the former signified by high DUX4 target expression and decreased muscle gene expression. Pseudotime analyses reveal a clear bifurcation of myoblast differentiation into control and FSHD-hi myotube branches, with variable numbers of DUX4 target-expressing nuclei found in multinucleated FSHD-hi myotubes. Gene coexpression modules related to extracellular matrix and stress gene ontologies are significantly altered in patient/mutant myotubes compared with the control. We also identify distinct subpathways within the DUX4 gene network that may differentially contribute to the disease transcriptomic phenotype. Taken together, our MERFISH-based study provides effective gene network profiling of multinucleated cells and identifies FSHD-induced transcriptomic alterations during myoblast differentiation.
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Affiliation(s)
- Lujia Chen
- Department of Biomedical Engineering, University of California, Irvine, California 92697, USA
- Center for Neural Circuit Mapping, University of California, Irvine, California 92697, USA
| | - Xiangduo Kong
- Department of Biological Chemistry, School of Medicine, University of California Irvine, Irvine, California 92697, USA
| | - Kevin G Johnston
- Department of Anatomy and Neurobiology, School of Medicine, University of California Irvine, Irvine, California 92697, USA
| | - Ali Mortazavi
- Department of Biological Chemistry, School of Medicine, University of California Irvine, Irvine, California 92697, USA
| | - Todd C Holmes
- Center for Neural Circuit Mapping, University of California, Irvine, California 92697, USA
- Department of Physiology and Biophysics, School of Medicine, University of California Irvine, Irvine, California 92697, USA
| | - Zhiqun Tan
- Center for Neural Circuit Mapping, University of California, Irvine, California 92697, USA;
- Department of Biological Chemistry, School of Medicine, University of California Irvine, Irvine, California 92697, USA
- Department of Anatomy and Neurobiology, School of Medicine, University of California Irvine, Irvine, California 92697, USA
- Institute for Memory Impairments and Neurological Disorders, University of California, Irvine, California 92697, USA
| | - Kyoko Yokomori
- Department of Biological Chemistry, School of Medicine, University of California Irvine, Irvine, California 92697, USA;
| | - Xiangmin Xu
- Department of Biomedical Engineering, University of California, Irvine, California 92697, USA;
- Center for Neural Circuit Mapping, University of California, Irvine, California 92697, USA
- Department of Anatomy and Neurobiology, School of Medicine, University of California Irvine, Irvine, California 92697, USA
- Institute for Memory Impairments and Neurological Disorders, University of California, Irvine, California 92697, USA
- Department of Computer Science, University of California, Irvine, California 92697, USA
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2
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Zacharias NM, Segarra L, Akagi K, Fowlkes NW, Chen H, Alaniz A, de la Cerda C, Pesquera P, Xi Y, Wang J, Chahoud J, Lu X, Rao P, Martinez-Ferrer M, Pettaway CA. Transcriptomic, Proteomic, and Genomic Mutational Fraction Differences Based on HPV Status Observed in Patient-Derived Xenograft Models of Penile Squamous Cell Carcinoma. Cancers (Basel) 2024; 16:1066. [PMID: 38473423 PMCID: PMC10930474 DOI: 10.3390/cancers16051066] [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: 02/05/2024] [Revised: 02/27/2024] [Accepted: 02/29/2024] [Indexed: 03/14/2024] Open
Abstract
Metastatic penile squamous cell carcinoma (PSCC) has only a 50% response rate to first-line combination chemotherapies and there are currently no targeted-therapy approaches. Therefore, we have an urgent need in advanced-PSCC treatment to find novel therapies. Approximately half of all PSCC cases are positive for high-risk human papillomavirus (HR-HPV). Our objective was to generate HPV-positive (HPV+) and HPV-negative (HPV-) patient-derived xenograft (PDX) models and to determine the biological differences between HPV+ and HPV- disease. We generated four HPV+ and three HPV- PSCC PDX animal models by directly implanting resected patient tumor tissue into immunocompromised mice. PDX tumor tissue was found to be similar to patient tumor tissue (donor tissue) by histology and short tandem repeat fingerprinting. DNA mutations were mostly preserved in PDX tissues and similar APOBEC (apolipoprotein B mRNA editing catalytic polypeptide) mutational fractions in donor tissue and PDX tissues were noted. A higher APOBEC mutational fraction was found in HPV+ versus HPV- PDX tissues (p = 0.044), and significant transcriptomic and proteomic expression differences based on HPV status included p16 (CDKN2A), RRM2, and CDC25C. These models will allow for the direct testing of targeted therapies in PSCC and determine their response in correlation to HPV status.
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Affiliation(s)
- Niki M. Zacharias
- Department of Urology, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; (L.S.); (P.P.)
- MD Anderson UTHealth Graduate School, Houston, TX 77030, USA
| | - Luis Segarra
- Department of Urology, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; (L.S.); (P.P.)
- MD Anderson UTHealth Graduate School, Houston, TX 77030, USA
| | - Keiko Akagi
- Department of Thoracic Head & Neck Medical Oncology, MD Anderson Cancer Center, Houston, TX 77030, USA;
| | - Natalie Wall Fowlkes
- Department of Veterinary Medicine & Surgery, MD Anderson Cancer Center, Houston, TX 77030, USA;
| | - Huiqin Chen
- Biostatistics, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA;
| | - Angelita Alaniz
- Center for Health Promotion and Prevention Research, University of Texas Health Science Center at Houston, Houston, TX 77030, USA;
| | - Carolyn de la Cerda
- Department of Surgical Oncology, MD Anderson Cancer Center, Houston, TX 77030, USA;
| | - Pedro Pesquera
- Department of Urology, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; (L.S.); (P.P.)
| | - Yuanxin Xi
- Department of Bioinformatics and Computational Biology, MD Anderson Cancer Center, Houston, TX 77030, USA; (Y.X.); (J.W.)
| | - Jing Wang
- Department of Bioinformatics and Computational Biology, MD Anderson Cancer Center, Houston, TX 77030, USA; (Y.X.); (J.W.)
| | - Jad Chahoud
- Department of Genitourinary Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL 33612, USA;
| | - Xin Lu
- Department of Biological Sciences, University of Notre Dame, Norte Dame, IN 46556, USA;
| | - Priya Rao
- Department of Pathology, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA;
| | - Magaly Martinez-Ferrer
- Department of Pharmaceutical Sciences, University of Puerto Rico Medical Sciences Campus & Cancer Biology, UPR Comprehensive Cancer Center, San Juan, PR 00936, USA;
| | - Curtis A. Pettaway
- Department of Urology, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; (L.S.); (P.P.)
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3
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Monterde B, Rojano E, Córdoba-Caballero J, Seoane P, Perkins JR, Medina MÁ, Ranea JAG. Integrating differential expression, co-expression and gene network analysis for the identification of common genes associated with tumor angiogenesis deregulation. J Biomed Inform 2023; 144:104421. [PMID: 37315831 DOI: 10.1016/j.jbi.2023.104421] [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: 02/27/2023] [Revised: 06/05/2023] [Accepted: 06/09/2023] [Indexed: 06/16/2023]
Abstract
Angiogenesis is essential for tumor growth and cancer metastasis. Identifying the molecular pathways involved in this process is the first step in the rational design of new therapeutic strategies to improve cancer treatment. In recent years, RNA-seq data analysis has helped to determine the genetic and molecular factors associated with different types of cancer. In this work we performed integrative analysis using RNA-seq data from human umbilical vein endothelial cells (HUVEC) and patients with angiogenesis-dependent diseases to find genes that serve as potential candidates to improve the prognosis of tumor angiogenesis deregulation and understand how this process is orchestrated at the genetic and molecular level. We downloaded four RNA-seq datasets (including cellular models of tumor angiogenesis and ischaemic heart disease) from the Sequence Read Archive. Our integrative analysis includes a first step to determine differentially and co-expressed genes. For this, we used the ExpHunter Suite, an R package that performs differential expression, co-expression and functional analysis of RNA-seq data. We used both differentially and co-expressed genes to explore the human gene interaction network and determine which genes were found in the different datasets that may be key for the angiogenesis deregulation. Finally, we performed drug repositioning analysis to find potential targets related to angiogenesis inhibition. We found that that among the transcriptional alterations identified, SEMA3D and IL33 genes are deregulated in all datasets. Microenvironment remodeling, cell cycle, lipid metabolism and vesicular transport are the main molecular pathways affected. In addition to this, interacting genes are involved in intracellular signaling pathways, especially in immune system and semaphorins, respiratory electron transport and fatty acid metabolism. The methodology presented here can be used for finding common transcriptional alterations in other genetically-based diseases.
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Affiliation(s)
- Beatriz Monterde
- Departamento de Señalización Celular y Molecular, Instituto de Biomedicina y Biotecnología de Cantabria, Universidad de Cantabria-CSIC., C/Albert Einstein, 22, Santander, 39011, Spain
| | - Elena Rojano
- Departamento de Biología Molecular y Bioquímica, Facultad de Ciencias, Universidad de Málaga, Bulevar Louis Pasteur, 31, Málaga, 29010, Spain; Instituto de Investigación Biomédica de Málaga y Plataforma en Nanomedicina (IBIMA-Plataforma BIONAND), C/ Severo Ochoa, 35, Parque Tecnológico de Andalucía (PTA), Campanillas, Málaga, 29590, Spain
| | - José Córdoba-Caballero
- Departamento de Biología Molecular y Bioquímica, Facultad de Ciencias, Universidad de Málaga, Bulevar Louis Pasteur, 31, Málaga, 29010, Spain; Instituto de Investigación e Innovación Biomédica de Cádiz (INiBICA), Avda. Ana de Viya, 21, Cádiz, 11009, Spain
| | - Pedro Seoane
- Departamento de Biología Molecular y Bioquímica, Facultad de Ciencias, Universidad de Málaga, Bulevar Louis Pasteur, 31, Málaga, 29010, Spain; Instituto de Investigación Biomédica de Málaga y Plataforma en Nanomedicina (IBIMA-Plataforma BIONAND), C/ Severo Ochoa, 35, Parque Tecnológico de Andalucía (PTA), Campanillas, Málaga, 29590, Spain; CIBER de Enfermedades Raras (CIBERER), Avda. Monforte de Lemos, 3-5, Pabellón 11, Planta 0, Madrid, 28029, Spain.
| | - James R Perkins
- Departamento de Biología Molecular y Bioquímica, Facultad de Ciencias, Universidad de Málaga, Bulevar Louis Pasteur, 31, Málaga, 29010, Spain; Instituto de Investigación Biomédica de Málaga y Plataforma en Nanomedicina (IBIMA-Plataforma BIONAND), C/ Severo Ochoa, 35, Parque Tecnológico de Andalucía (PTA), Campanillas, Málaga, 29590, Spain; CIBER de Enfermedades Raras (CIBERER), Avda. Monforte de Lemos, 3-5, Pabellón 11, Planta 0, Madrid, 28029, Spain
| | - Miguel Ángel Medina
- Departamento de Biología Molecular y Bioquímica, Facultad de Ciencias, Universidad de Málaga, Bulevar Louis Pasteur, 31, Málaga, 29010, Spain; Instituto de Investigación Biomédica de Málaga y Plataforma en Nanomedicina (IBIMA-Plataforma BIONAND), C/ Severo Ochoa, 35, Parque Tecnológico de Andalucía (PTA), Campanillas, Málaga, 29590, Spain; CIBER de Enfermedades Raras (CIBERER), Avda. Monforte de Lemos, 3-5, Pabellón 11, Planta 0, Madrid, 28029, Spain
| | - Juan A G Ranea
- Departamento de Biología Molecular y Bioquímica, Facultad de Ciencias, Universidad de Málaga, Bulevar Louis Pasteur, 31, Málaga, 29010, Spain; Instituto de Investigación Biomédica de Málaga y Plataforma en Nanomedicina (IBIMA-Plataforma BIONAND), C/ Severo Ochoa, 35, Parque Tecnológico de Andalucía (PTA), Campanillas, Málaga, 29590, Spain; CIBER de Enfermedades Raras (CIBERER), Avda. Monforte de Lemos, 3-5, Pabellón 11, Planta 0, Madrid, 28029, Spain; Spanish National Bioinformatics Institute (INB/ELIXIR-ES), Instituto de Salud Carlos III (ISCIII), C/ Sinesio Delgado, 4, Madrid, 28029, Spain
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4
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Ramos E, Egea J, López-Muñoz F, Gil-Martín E, Romero A. Therapeutic Potential of Melatonin Counteracting Chemotherapy-Induced Toxicity in Breast Cancer Patients: A Systematic Review. Pharmaceutics 2023; 15:1616. [PMID: 37376065 DOI: 10.3390/pharmaceutics15061616] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2023] [Revised: 05/05/2023] [Accepted: 05/26/2023] [Indexed: 06/29/2023] Open
Abstract
The purpose of this systematic review is to provide an overview of the existing knowledge on the therapeutic potential of melatonin to counteract the undesirable effects of chemotherapy in breast cancer patients. To this aim, we summarized and critically reviewed preclinical- and clinical-related evidence according to the PRISMA guidelines. Additionally, we developed an extrapolation of melatonin doses in animal studies to the human equivalent doses (HEDs) for randomized clinical trials (RCTs) with breast cancer patients. For the revision, 341 primary records were screened, which were reduced to 8 selected RCTs that met the inclusion criteria. We assembled the evidence drawn from these studies by analyzing the remaining gaps and treatment efficacy and suggested future translational research and clinical trials. Overall, the selected RCTs allow us to conclude that melatonin combined with standard chemotherapy lines would derive, at least, a better quality of life for breast cancer patients. Moreover, regular doses of 20 mg/day seemed to increase partial response and 1-year survival rates. Accordingly, this systematic review leads us to draw attention to the need for more RCTs to provide a comprehensive view of the promising actions of melatonin in breast cancer and, given the safety profile of this molecule, adequate translational doses should be established in further RCTs.
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Affiliation(s)
- Eva Ramos
- Department of Pharmacology and Toxicology, Faculty of Veterinary Medicine, Complutense University of Madrid, 28040 Madrid, Spain
| | - Javier Egea
- Molecular Neuroinflammation and Neuronal Plasticity Research Laboratory, Hospital Universitario Santa Cristina, Instituto de Investigación Sanitaria-Hospital Universitario de la Princesa, 28006 Madrid, Spain
- Institute Teófilo Hernando for Drug Discovery, Department of Pharmacology, School of Medicine, Autonomous University of Madrid, 28029 Madrid, Spain
| | - Francisco López-Muñoz
- Faculty of Health, Camilo José Cela University of Madrid (UCJC), 28692 Madrid, Spain
- Neuropsychopharmacology Unit, Hospital 12 de Octubre Research Institute, 28041 Madrid, Spain
| | - Emilio Gil-Martín
- Department of Biochemistry, Genetics and Immunology, Faculty of Biology, University of Vigo, 36310 Vigo, Spain
| | - Alejandro Romero
- Department of Pharmacology and Toxicology, Faculty of Veterinary Medicine, Complutense University of Madrid, 28040 Madrid, Spain
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5
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Antitumor effect of melatonin on breast cancer in experimental models: A systematic review. Biochim Biophys Acta Rev Cancer 2023; 1878:188838. [PMID: 36403922 DOI: 10.1016/j.bbcan.2022.188838] [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: 09/27/2022] [Revised: 11/11/2022] [Accepted: 11/12/2022] [Indexed: 11/19/2022]
Abstract
Breast cancer is the most frequent malignant neoplasm in females. While conventional treatments such as chemotherapy and radiotherapy are available, they are highly invasive and toxic to oncological patients. Melatonin is a promising molecule for the treatment of breast cancer with antitumor effects on tumorigenesis and tumor progression. The aim of this systematic review was to synthesize knowledge about the antitumor effect of melatonin on breast cancer in experimental models and propose the main mechanisms of action already described in relation to the processes regulated by melatonin. PubMed, Web of Science, and Embase databases were used. The inclusion criteria were in vitro and in vivo experimental studies that used different formulations of melatonin as a treatment for breast cancer, without year or language restrictions. Risk of bias for studies was assessed using the Systematic Review Center for Laboratory Animal Experimentation (SYRCLE) tool. Data from selected articles were presented as narrative descriptions and tables. Seventy-five articles on different breast cancer cell lines and experimental models treated with melatonin alone, or in combination with other compounds were included. Melatonin showed antitumor effects on proliferative pathways related to the cell cycle and tumorigenesis, tumor death, angiogenesis, and tumor metastasis, as well as on oxidative stress and immune regulatory pathways. These effects were either dependent or independent of melatonin receptors. Herein, we clarify the antitumor action of melatonin on different tumorigenic processes in breast cancer in experimental models. Systematic review registration: PROSPERO database (CRD42022309822/https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42022309822).
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Vermeirssen V, Deleu J, Morlion A, Everaert C, De Wilde J, Anckaert J, Durinck K, Nuytens J, Rishfi M, Speleman F, Van Droogenbroeck H, Verniers K, Baietti M, Albersen M, Leucci E, Post E, Best M, Van Maerken T, De Wilde B, Vandesompele J, Decock A. Whole transcriptome profiling of liquid biopsies from tumour xenografted mouse models enables specific monitoring of tumour-derived extracellular RNA. NAR Cancer 2022; 4:zcac037. [DOI: 10.1093/narcan/zcac037] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2022] [Revised: 09/23/2022] [Accepted: 11/18/2022] [Indexed: 11/29/2022] Open
Abstract
Abstract
While cell-free DNA (cfDNA) is widely being investigated, free circulating RNA (extracellular RNA, exRNA) has the potential to improve cancer therapy response monitoring and detection due to its dynamic nature. However, it remains unclear in which blood subcompartment tumour-derived exRNAs primarily reside. We developed a host-xenograft deconvolution framework, exRNAxeno, with mapping strategies to either a combined human-mouse reference genome or both species genomes in parallel, applicable to exRNA sequencing data from liquid biopsies of human xenograft mouse models. The tool enables to distinguish (human) tumoural RNA from (murine) host RNA, to specifically analyse tumour-derived exRNA. We applied the combined pipeline to total exRNA sequencing data from 95 blood-derived liquid biopsy samples from 30 mice, xenografted with 11 different tumours. Tumoural exRNA concentrations are not determined by plasma platelet levels, while host exRNA concentrations increase with platelet content. Furthermore, a large variability in exRNA abundance and transcript content across individual mice is observed. The tumoural gene detectability in plasma is largely correlated with the RNA expression levels in the tumour tissue or cell line. These findings unravel new aspects of tumour-derived exRNA biology in xenograft models and open new avenues to further investigate the role of exRNA in cancer.
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Affiliation(s)
- Vanessa Vermeirssen
- Lab for Computational Biology, Integromics and Gene Regulation (CBIGR), Cancer Research Institute Ghent (CRIG) , 9000, Ghent , Belgium
- Department of Biomedical Molecular Biology, Ghent University , 9000, Ghent , Belgium
- OncoRNALab, Cancer Research Institute Ghent (CRIG) , 9000, Ghent , Belgium
- Department of Biomolecular Medicine, Ghent University , 9000, Ghent , Belgium
| | - Jill Deleu
- OncoRNALab, Cancer Research Institute Ghent (CRIG) , 9000, Ghent , Belgium
- Department of Biomolecular Medicine, Ghent University , 9000, Ghent , Belgium
| | - Annelien Morlion
- OncoRNALab, Cancer Research Institute Ghent (CRIG) , 9000, Ghent , Belgium
- Department of Biomolecular Medicine, Ghent University , 9000, Ghent , Belgium
| | - Celine Everaert
- OncoRNALab, Cancer Research Institute Ghent (CRIG) , 9000, Ghent , Belgium
- Department of Biomolecular Medicine, Ghent University , 9000, Ghent , Belgium
| | - Jilke De Wilde
- Department of Biomolecular Medicine, Ghent University , 9000, Ghent , Belgium
- Department of Pathology, Ghent University Hospital , 9000, Ghent , Belgium
| | - Jasper Anckaert
- OncoRNALab, Cancer Research Institute Ghent (CRIG) , 9000, Ghent , Belgium
- Department of Biomolecular Medicine, Ghent University , 9000, Ghent , Belgium
| | - Kaat Durinck
- Department of Biomolecular Medicine, Ghent University , 9000, Ghent , Belgium
- Pediatric Precision Oncology Lab (PPOL), Cancer Research Institute Ghent (CRIG) , 9000, Ghent , Belgium
| | - Justine Nuytens
- OncoRNALab, Cancer Research Institute Ghent (CRIG) , 9000, Ghent , Belgium
- Department of Biomolecular Medicine, Ghent University , 9000, Ghent , Belgium
| | - Muhammad Rishfi
- Department of Biomolecular Medicine, Ghent University , 9000, Ghent , Belgium
- Pediatric Precision Oncology Lab (PPOL), Cancer Research Institute Ghent (CRIG) , 9000, Ghent , Belgium
| | - Frank Speleman
- Department of Biomolecular Medicine, Ghent University , 9000, Ghent , Belgium
- Pediatric Precision Oncology Lab (PPOL), Cancer Research Institute Ghent (CRIG) , 9000, Ghent , Belgium
| | - Hanne Van Droogenbroeck
- OncoRNALab, Cancer Research Institute Ghent (CRIG) , 9000, Ghent , Belgium
- Department of Biomolecular Medicine, Ghent University , 9000, Ghent , Belgium
| | - Kimberly Verniers
- OncoRNALab, Cancer Research Institute Ghent (CRIG) , 9000, Ghent , Belgium
- Department of Biomolecular Medicine, Ghent University , 9000, Ghent , Belgium
| | - Maria Francesca Baietti
- Laboratory for RNA Cancer Biology, Department of Oncology , KU Leuven, 3000, Leuven , Belgium
- TRACE, Leuven Cancer Institute , KU Leuven, 3000, Leuven, Belgium
| | - Maarten Albersen
- Department of Development and Regeneration, Laboratory of Experimental Urology, KU Leuven, Department of Urology, University Hospitals Leuven , 3000, Leuven , Belgium
| | - Eleonora Leucci
- Laboratory for RNA Cancer Biology, Department of Oncology , KU Leuven, 3000, Leuven , Belgium
- TRACE, Leuven Cancer Institute , KU Leuven, 3000, Leuven, Belgium
| | - Edward Post
- Amsterdam UMC Location Vrije Universiteit Amsterdam, Department of Neurosurgery , Boelelaan 1117, 1081 HV, Amsterdam , the Netherlands
- Cancer Center Amsterdam, Brain Tumor Center and Liquid Biopsy Center , 1081 HV, Amsterdam , the Netherlands
| | - Myron G Best
- Amsterdam UMC Location Vrije Universiteit Amsterdam, Department of Neurosurgery , Boelelaan 1117, 1081 HV, Amsterdam , the Netherlands
- Cancer Center Amsterdam, Brain Tumor Center and Liquid Biopsy Center , 1081 HV, Amsterdam , the Netherlands
| | - Tom Van Maerken
- OncoRNALab, Cancer Research Institute Ghent (CRIG) , 9000, Ghent , Belgium
- Department of Biomolecular Medicine, Ghent University , 9000, Ghent , Belgium
- Department of Laboratory Medicine , AZ Groeninge, 8500, Kortrijk , Belgium
| | - Bram De Wilde
- OncoRNALab, Cancer Research Institute Ghent (CRIG) , 9000, Ghent , Belgium
- Department of Biomolecular Medicine, Ghent University , 9000, Ghent , Belgium
- Department of Paediatric Haematology Oncology and Stem Cell Transplantation, Ghent University Hospital , 9000, Ghent , Belgium
| | - Jo Vandesompele
- OncoRNALab, Cancer Research Institute Ghent (CRIG) , 9000, Ghent , Belgium
- Department of Biomolecular Medicine, Ghent University , 9000, Ghent , Belgium
| | - Anneleen Decock
- OncoRNALab, Cancer Research Institute Ghent (CRIG) , 9000, Ghent , Belgium
- Department of Biomolecular Medicine, Ghent University , 9000, Ghent , Belgium
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7
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Rajczewski AT, Han Q, Mehta S, Kumar P, Jagtap PD, Knutson CG, Fox JG, Tretyakova NY, Griffin TJ. Quantitative Proteogenomic Characterization of Inflamed Murine Colon Tissue Using an Integrated Discovery, Verification, and Validation Proteogenomic Workflow. Proteomes 2022; 10:proteomes10020011. [PMID: 35466239 PMCID: PMC9036229 DOI: 10.3390/proteomes10020011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2022] [Revised: 03/27/2022] [Accepted: 04/07/2022] [Indexed: 11/24/2022] Open
Abstract
Chronic inflammation of the colon causes genomic and/or transcriptomic events, which can lead to expression of non-canonical protein sequences contributing to oncogenesis. To better understand these mechanisms, Rag2−/−Il10−/− mice were infected with Helicobacter hepaticus to induce chronic inflammation of the cecum and the colon. Transcriptomic data from harvested proximal colon samples were used to generate a customized FASTA database containing non-canonical protein sequences. Using a proteogenomic approach, mass spectrometry data for proximal colon proteins were searched against this custom FASTA database using the Galaxy for Proteomics (Galaxy-P) platform. In addition to the increased abundance in inflammatory response proteins, we also discovered several non-canonical peptide sequences derived from unique proteoforms. We confirmed the veracity of these novel sequences using an automated bioinformatics verification workflow with targeted MS-based assays for peptide validation. Our bioinformatics discovery workflow identified 235 putative non-canonical peptide sequences, of which 58 were verified with high confidence and 39 were validated in targeted proteomics assays. This study provides insights into challenges faced when identifying non-canonical peptides using a proteogenomics approach and demonstrates an integrated workflow addressing these challenges. Our bioinformatic discovery and verification workflow is publicly available and accessible via the Galaxy platform and should be valuable in non-canonical peptide identification using proteogenomics.
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Affiliation(s)
- Andrew T. Rajczewski
- Department of Biochemistry, Molecular Biology and Biophysics, University of Minnesota, Minneapolis, MN 55455, USA; (A.T.R.); (Q.H.); (S.M.); (P.K.); (P.D.J.)
| | - Qiyuan Han
- Department of Biochemistry, Molecular Biology and Biophysics, University of Minnesota, Minneapolis, MN 55455, USA; (A.T.R.); (Q.H.); (S.M.); (P.K.); (P.D.J.)
| | - Subina Mehta
- Department of Biochemistry, Molecular Biology and Biophysics, University of Minnesota, Minneapolis, MN 55455, USA; (A.T.R.); (Q.H.); (S.M.); (P.K.); (P.D.J.)
| | - Praveen Kumar
- Department of Biochemistry, Molecular Biology and Biophysics, University of Minnesota, Minneapolis, MN 55455, USA; (A.T.R.); (Q.H.); (S.M.); (P.K.); (P.D.J.)
| | - Pratik D. Jagtap
- Department of Biochemistry, Molecular Biology and Biophysics, University of Minnesota, Minneapolis, MN 55455, USA; (A.T.R.); (Q.H.); (S.M.); (P.K.); (P.D.J.)
| | - Charles G. Knutson
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; (C.G.K.); (J.G.F.)
| | - James G. Fox
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; (C.G.K.); (J.G.F.)
| | - Natalia Y. Tretyakova
- Department of Medicinal Chemistry, the Masonic Cancer Center, University of Minnesota, Minneapolis, MN 55455, USA;
| | - Timothy J. Griffin
- Department of Biochemistry, Molecular Biology and Biophysics, University of Minnesota, Minneapolis, MN 55455, USA; (A.T.R.); (Q.H.); (S.M.); (P.K.); (P.D.J.)
- Correspondence:
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8
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Melatonin and Pathological Cell Interactions: Mitochondrial Glucose Processing in Cancer Cells. Int J Mol Sci 2021; 22:ijms222212494. [PMID: 34830375 PMCID: PMC8621753 DOI: 10.3390/ijms222212494] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2021] [Revised: 10/06/2021] [Accepted: 11/17/2021] [Indexed: 12/18/2022] Open
Abstract
Melatonin is synthesized in the pineal gland at night. Since melatonin is produced in the mitochondria of all other cells in a non-circadian manner, the amount synthesized by the pineal gland is less than 5% of the total. Melatonin produced in mitochondria influences glucose metabolism in all cells. Many pathological cells adopt aerobic glycolysis (Warburg effect) in which pyruvate is excluded from the mitochondria and remains in the cytosol where it is metabolized to lactate. The entrance of pyruvate into the mitochondria of healthy cells allows it to be irreversibly decarboxylated by pyruvate dehydrogenase (PDH) to acetyl coenzyme A (acetyl-CoA). The exclusion of pyruvate from the mitochondria in pathological cells prevents the generation of acetyl-CoA from pyruvate. This is relevant to mitochondrial melatonin production, as acetyl-CoA is a required co-substrate/co-factor for melatonin synthesis. When PDH is inhibited during aerobic glycolysis or during intracellular hypoxia, the deficiency of acetyl-CoA likely prevents mitochondrial melatonin synthesis. When cells experiencing aerobic glycolysis or hypoxia with a diminished level of acetyl-CoA are supplemented with melatonin or receive it from another endogenous source (pineal-derived), pathological cells convert to a more normal phenotype and support the transport of pyruvate into the mitochondria, thereby re-establishing a healthier mitochondrial metabolic physiology.
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9
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Guo W, Tzioutziou NA, Stephen G, Milne I, Calixto CPG, Waugh R, Brown JWS, Zhang R. 3D RNA-seq: a powerful and flexible tool for rapid and accurate differential expression and alternative splicing analysis of RNA-seq data for biologists. RNA Biol 2021; 18:1574-1587. [PMID: 33345702 PMCID: PMC8594885 DOI: 10.1080/15476286.2020.1858253] [Citation(s) in RCA: 43] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2020] [Revised: 11/26/2020] [Accepted: 11/27/2020] [Indexed: 12/19/2022] Open
Abstract
RNA-sequencing (RNA-seq) analysis of gene expression and alternative splicing should be routine and robust but is often a bottleneck for biologists because of different and complex analysis programs and reliance on specialized bioinformatics skills. We have developed the '3D RNA-seq' App, an R shiny App and web-based pipeline for the comprehensive analysis of RNA-seq data from any organism. It represents an easy-to-use, flexible and powerful tool for analysis of both gene and transcript-level gene expression to identify differential gene/transcript expression, differential alternative splicing and differential transcript usage (3D) as well as isoform switching from RNA-seq data. 3D RNA-seq integrates state-of-the-art differential expression analysis tools and adopts best practice for RNA-seq analysis. The program is designed to be run by biologists with minimal bioinformatics experience (or by bioinformaticians) allowing lab scientists to analyse their RNA-seq data. It achieves this by operating through a user-friendly graphical interface which automates the data flow through the programs in the pipeline. The comprehensive analysis performed by 3D RNA-seq is extremely rapid and accurate, can handle complex experimental designs, allows user setting of statistical parameters, visualizes the results through graphics and tables, and generates publication quality figures such as heat-maps, expression profiles and GO enrichment plots. The utility of 3D RNA-seq is illustrated by analysis of data from a time-series of cold-treated Arabidopsis plants and from dexamethasone-treated male and female mouse cortex and hypothalamus data identifying dexamethasone-induced sex- and brain region-specific differential gene expression and alternative splicing.
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Affiliation(s)
- Wenbin Guo
- Division of Plant Sciences, University of Dundee at the James Hutton Institute, Dundee, UK
- Information and Computational Sciences, The James Hutton Institute, Dundee, UK
| | - Nikoleta A Tzioutziou
- Division of Plant Sciences, University of Dundee at the James Hutton Institute, Dundee, UK
| | - Gordon Stephen
- Information and Computational Sciences, The James Hutton Institute, Dundee, UK
| | - Iain Milne
- Information and Computational Sciences, The James Hutton Institute, Dundee, UK
| | - Cristiane PG Calixto
- Division of Plant Sciences, University of Dundee at the James Hutton Institute, Dundee, UK
| | - Robbie Waugh
- Division of Plant Sciences, University of Dundee at the James Hutton Institute, Dundee, UK
- Cell and Molecular Sciences, The James Hutton Institute, Dundee, UK
| | - John W. S. Brown
- Division of Plant Sciences, University of Dundee at the James Hutton Institute, Dundee, UK
- Cell and Molecular Sciences, The James Hutton Institute, Dundee, UK
| | - Runxuan Zhang
- Information and Computational Sciences, The James Hutton Institute, Dundee, UK
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10
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Guo W, Tzioutziou NA, Stephen G, Milne I, Calixto CP, Waugh R, Brown JWS, Zhang R. 3D RNA-seq: a powerful and flexible tool for rapid and accurate differential expression and alternative splicing analysis of RNA-seq data for biologists. RNA Biol 2021. [PMID: 33345702 DOI: 10.1101/656686] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/10/2023] Open
Abstract
RNA-sequencing (RNA-seq) analysis of gene expression and alternative splicing should be routine and robust but is often a bottleneck for biologists because of different and complex analysis programs and reliance on specialized bioinformatics skills. We have developed the '3D RNA-seq' App, an R shiny App and web-based pipeline for the comprehensive analysis of RNA-seq data from any organism. It represents an easy-to-use, flexible and powerful tool for analysis of both gene and transcript-level gene expression to identify differential gene/transcript expression, differential alternative splicing and differential transcript usage (3D) as well as isoform switching from RNA-seq data. 3D RNA-seq integrates state-of-the-art differential expression analysis tools and adopts best practice for RNA-seq analysis. The program is designed to be run by biologists with minimal bioinformatics experience (or by bioinformaticians) allowing lab scientists to analyse their RNA-seq data. It achieves this by operating through a user-friendly graphical interface which automates the data flow through the programs in the pipeline. The comprehensive analysis performed by 3D RNA-seq is extremely rapid and accurate, can handle complex experimental designs, allows user setting of statistical parameters, visualizes the results through graphics and tables, and generates publication quality figures such as heat-maps, expression profiles and GO enrichment plots. The utility of 3D RNA-seq is illustrated by analysis of data from a time-series of cold-treated Arabidopsis plants and from dexamethasone-treated male and female mouse cortex and hypothalamus data identifying dexamethasone-induced sex- and brain region-specific differential gene expression and alternative splicing.
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Affiliation(s)
- Wenbin Guo
- Division of Plant Sciences, University of Dundee at the James Hutton Institute, Dundee, UK
- Information and Computational Sciences, The James Hutton Institute, Dundee, UK
| | - Nikoleta A Tzioutziou
- Division of Plant Sciences, University of Dundee at the James Hutton Institute, Dundee, UK
| | - Gordon Stephen
- Information and Computational Sciences, The James Hutton Institute, Dundee, UK
| | - Iain Milne
- Information and Computational Sciences, The James Hutton Institute, Dundee, UK
| | - Cristiane Pg Calixto
- Division of Plant Sciences, University of Dundee at the James Hutton Institute, Dundee, UK
| | - Robbie Waugh
- Division of Plant Sciences, University of Dundee at the James Hutton Institute, Dundee, UK
- Cell and Molecular Sciences, The James Hutton Institute, Dundee, UK
| | - John W S Brown
- Division of Plant Sciences, University of Dundee at the James Hutton Institute, Dundee, UK
- Cell and Molecular Sciences, The James Hutton Institute, Dundee, UK
| | - Runxuan Zhang
- Information and Computational Sciences, The James Hutton Institute, Dundee, UK
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11
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Mu Q, Najafi M. Modulation of the tumor microenvironment (TME) by melatonin. Eur J Pharmacol 2021; 907:174365. [PMID: 34302814 DOI: 10.1016/j.ejphar.2021.174365] [Citation(s) in RCA: 38] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2021] [Revised: 07/10/2021] [Accepted: 07/19/2021] [Indexed: 12/12/2022]
Abstract
The tumor microenvironment (TME) includes a number of non-cancerous cells that affect cancer cell survival. Although CD8+ T lymphocytes and natural killer (NK) cells suppress tumor growth through induction of cell death in cancer cells, there are various immunosuppressive cells such as regulatory T cells (Tregs), tumor-associated macrophages (TAMs), cancer-associated fibroblasts (CAFs), myeloid-derived suppressor cells (MDSCs), etc., which drive cancer cell proliferation. These cells may also support tumor growth and metastasis by stimulating angiogenesis, epithelial-mesenchymal transition (EMT), and resistance to apoptosis. Interactions between cancer cells and other cells, as well as molecules released into EMT, play a key role in tumor growth and suppression of antitumoral immunity. Melatonin is a natural hormone that may be found in certain foods and is also available as a drug. Melatonin has been demonstrated to modulate cell activity and the release of cytokines and growth factors in TME. The purpose of this review is to explain the cellular and molecular mechanisms of cancer cell resistance as a result of interactions with TME. Next, we explain how melatonin affects cells and interactions within the TME.
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Affiliation(s)
- Qi Mu
- College of Nursing, Inner Mongolia University for Nationalities, Tongliao, 028000, China.
| | - Masoud Najafi
- Medical Technology Research Center, Institute of Health Technology, Kermanshah University of Medical Sciences, Kermanshah, Iran.
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12
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Oshiba RT, Touson E, Elsherbini YM, Abdraboh ME. Melatonin: A regulator of the interplay between FoxO1, miR96, and miR215 signaling to diminish the growth, survival, and metastasis of murine adenocarcinoma. Biofactors 2021; 47:740-753. [PMID: 34058789 DOI: 10.1002/biof.1758] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/18/2021] [Accepted: 05/12/2021] [Indexed: 01/20/2023]
Abstract
Melatonin (Mel.), also known as the magic hormone, is a nocturnally secreted hormone orchestrates the clearance of free radicals that have been built up and cumulated during day. This study aims to detect the impact of pineal gland removal on the incidence of tumor development and to assess the signaling pathways via which exogenous melatonin counteract cancer growth. This goal has been achieved by novel approach for pineal destruction using dental micromotor which validated by melatonin downregulation in blood plasma. Mice were injected sub-cutenously with Ehrlich cells to develop solid tumor as a murine model of breast cancer. The increase at tumor markers carcino embryonic antigen, TNFα, and nuclear factor kappa-light-chain-enhancer of activated B cells was over countered by exogenous melatonin supplementation (20 mg/kg) daily for 1 month. The anticancer effects of melatonin were significantly mediated by scavenging H2 O2 and NO and diminishing of lipid peroxidation marker malondialdehyde. The real-time polymerase chain Rx analyses indicated a significant effect of Melatonin in upregulating the expression of miR215, fork head box protein O1 (foxO1), and downregulation of miR96. Flowcytometric analyses indicated a significant effect of melatonin on induction of cell cycle arrest at G1 phase which was further confirmed by Ki67 downregulation. Immunohistochemical analyses indicated the role of melatonin in upregulating P53-dependent apoptosis and downregulating CD44 signaling for survivin, matrix metallo-protein kinase 2, and vascular endothelial growth factor to inhibit cell survival and metastasis. In conclusion, this study sheds the light on M./P53/miR215/CD44 with an emphasis on M./miR96//foxO1 signaling cascades, as a novel pathway of melatonin signaling in adenocarcinoma to diminish cancer cell growth, survival and metastasis.
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Affiliation(s)
- Rehab T Oshiba
- Department of Zoology, Faculty of Science, Mansoura University, Mansoura, Egypt
| | - Ehab Touson
- Department of Zoology, Faculty of Science, Tanta University, Tanta, Egypt
| | - Yasser M Elsherbini
- School of Allied Health, Faculty of Health, Education, Medicine and Social care, Anglia Ruskin University, Chelmsford, UK
| | - Mohamed E Abdraboh
- Department of Zoology, Faculty of Science, Mansoura University, Mansoura, Egypt
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13
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Application of Weighted Gene Coexpression Network Analysis to Identify Key Modules and Hub Genes in Systemic Juvenile Idiopathic Arthritis. BIOMED RESEARCH INTERNATIONAL 2021; 2021:9957569. [PMID: 34435051 PMCID: PMC8382540 DOI: 10.1155/2021/9957569] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/22/2021] [Accepted: 07/22/2021] [Indexed: 12/14/2022]
Abstract
Systemic juvenile idiopathic arthritis (sJIA) is a severe autoinflammatory disorder with a still not clearly defined molecular mechanism. To better understand the disease, we used scattered datasets from public domains and performed a weighted gene coexpression network analysis (WGCNA) to identify key modules and hub genes underlying sJIA pathogenesis. Two gene expression datasets, GSE7753 and GSE13501, were used to construct the WGCNA. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were applied to the genes and hub genes in the sJIA modules. Cytoscape was used to screen and visualize the hub genes. We further compared the hub genes with the genome-wide association study (GWAS) genes and used a consensus WGCNA to verify that our conclusions were conservative and reproducible across multiple independent datasets. A total of 5,414 genes were obtained for WGCNA, from which highly correlated genes were divided into 17 modules. The red module demonstrated the highest correlation with the sJIA module (r = 0.8, p = 3e−29), whereas the green-yellow module was found to be closely related to the non-sJIA module (r = 0.62, p = 1e−14). Functional enrichment analysis demonstrated that the red module was mostly enriched in the activation of immune responses, infection, nucleosomes, and erythrocytes, and the green-yellow module was mostly enriched in immune responses and inflammation. Additionally, the hub genes in the red module were highly enriched in erythrocyte differentiation, including ALAS2, AHSP, TRIM10, TRIM58, and KLF1. The hub genes from the green-yellow module were mainly associated with immune responses, as exemplified by the genes KLRB1, KLRF1, CD160, and KIRs. We identified sJIA-related modules and several hub genes that might be associated with the development of sJIA. Particularly, the modules may help understand the mechanisms of sJIA, and the hub genes may become biomarkers and therapeutic targets of sJIA in the future.
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14
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Immunomodulation: An immune regulatory mechanism in carcinoma therapeutics. Int Immunopharmacol 2021; 99:107984. [PMID: 34303999 DOI: 10.1016/j.intimp.2021.107984] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2021] [Revised: 06/29/2021] [Accepted: 07/11/2021] [Indexed: 01/01/2023]
Abstract
Cancer has been generally related to the possession of numerous mutations which interrupt important signaling pathways. Nevertheless, deregulated immunological signaling is considered as one of the key factors associated with the development and progression of cancer. The signaling pathways operate as modular network with different components interacting in a switch-like fashion with two proteins interplaying between each other leading to direct or indirect inhibition or stimulation of down-stream factors. Genetic, epigenetic, and transcriptomic alterations maintain the pathological conduit of different signaling pathways via affecting diverse mechanisms including cell destiny. At present, immunotherapy is one of the best therapies opted for cancer treatment. The cancer immunotherapy strategy includes harnessing the specificity and killing mechanisms of the immunological system to target and eradicate malignant cells. Targeted therapies utilizing several little molecules including Galunisertib, Astragaloside-IV, Melatonin, and Jervine capable of regulating key signaling pathways can effectively help in the management of different carcinomas.
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15
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Jardin I, Diez-Bello R, Falcon D, Alvarado S, Regodon S, Salido GM, Smani T, Rosado JA. Melatonin downregulates TRPC6, impairing store-operated calcium entry in triple-negative breast cancer cells. J Biol Chem 2021; 296:100254. [PMID: 33380424 PMCID: PMC7948746 DOI: 10.1074/jbc.ra120.015769] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2020] [Revised: 12/24/2020] [Accepted: 12/30/2020] [Indexed: 12/15/2022] Open
Abstract
Melatonin has been reported to induce effective reduction in growth and development in a variety of tumors, including breast cancer. In triple-negative breast cancer (TNBC) cells, melatonin attenuates a variety of cancer features, such as tumor growth and apoptosis resistance, through a number of still poorly characterized mechanisms. One biological process that is important for TNBC cells is store-operated Ca2+ entry (SOCE), which is modulated by TRPC6 expression and function. We wondered whether melatonin might intersect with this pathway as part of its anticancer activity. We show that melatonin, in the nanomolar range, significantly attenuates TNBC MDA-MB-231 cell viability, proliferation, and migration in a time- and concentration-dependent manner, without having any effect on nontumoral breast epithelial MCF10A cells. Pretreatment with different concentrations of melatonin significantly reduced SOCE in MDA-MB-231 cells without altering Ca2+ release from the intracellular stores. By contrast, SOCE in MCF10A cells was unaffected by melatonin. In the TNBC MDA-MB-468 cell line, melatonin not only attenuated viability, migration, and SOCE, but also reduced TRPC6 expression in a time- and concentration-dependent manner, without altering expression or function of the Ca2+ channel Orai1. The expression of exogenous TRPC6 overcame the effect of melatonin on SOCE and cell proliferation, and silencing or inhibition of TRPC6 impaired the inhibitory effect of melatonin on SOCE. These findings indicate that TRPC6 downregulation might be involved in melatonin's inhibitory effects on Ca2+ influx and the maintenance of cancer hallmarks and point toward a novel antitumoral mechanism of melatonin in TNBC cells.
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Affiliation(s)
- Isaac Jardin
- Department of Physiology (Cellular Physiology Research Group), Institute of Molecular Pathology Biomarkers (IMPB), University of Extremadura, Caceres, Spain.
| | - Raquel Diez-Bello
- Department of Physiology (Cellular Physiology Research Group), Institute of Molecular Pathology Biomarkers (IMPB), University of Extremadura, Caceres, Spain
| | - Debora Falcon
- Cardiovascular Physiopathology Group, Institute of Biomedicine of Sevilla, Sevilla, Spain
| | - Sandra Alvarado
- Department of Physiology (Cellular Physiology Research Group), Institute of Molecular Pathology Biomarkers (IMPB), University of Extremadura, Caceres, Spain
| | - Sergio Regodon
- Department of Animal Medicine, University of Extremadura, Caceres, Spain
| | - Gines M Salido
- Department of Physiology (Cellular Physiology Research Group), Institute of Molecular Pathology Biomarkers (IMPB), University of Extremadura, Caceres, Spain
| | - Tarik Smani
- Department of Medical Physiology and Biophysic, Institute of Biomedicine of Sevilla, Sevilla, Spain
| | - Juan A Rosado
- Department of Physiology (Cellular Physiology Research Group), Institute of Molecular Pathology Biomarkers (IMPB), University of Extremadura, Caceres, Spain
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16
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Chuffa LGDA, Carvalho RF, Justulin LA, Cury SS, Seiva FRF, Jardim-Perassi BV, Zuccari DAPDC, Reiter RJ. A meta-analysis of microRNA networks regulated by melatonin in cancer: Portrait of potential candidates for breast cancer treatment. J Pineal Res 2020; 69:e12693. [PMID: 32910542 DOI: 10.1111/jpi.12693] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/01/2020] [Accepted: 08/28/2020] [Indexed: 12/27/2022]
Abstract
Melatonin is a ubiquitous molecule with a broad spectrum of functions including widespread anti-cancer activities. Identifying how melatonin intervenes in complex molecular signaling at the gene level is essential to guide proper therapies. Using meta-analysis approach, herein we examined the role of melatonin in regulating the expression of 46 microRNAs (miRNAs) and their target genes in breast, oral, gastric, colorectal, and prostate cancers, and glioblastoma. The deregulated miRNA-associated target genes revealed their involvement in the regulation of cellular proliferation, differentiation, apoptosis, senescence, and autophagy. Melatonin changes the expression of miRNA-associated genes in breast, gastric, and oral cancers. These genes are associated with cellular senescence, the hedgehog signaling pathway, cell proliferation, p53 signaling, and the hippo signaling pathway. Conversely, colorectal and prostate cancers as well as glioblastoma and oral carcinoma present a clear pattern of less pronounced changes in the expression of miRNA-associated genes. Most notably, colorectal cancer displayed a unique molecular change in response to melatonin. Considering breast cancer network complexity, we compared the genes found during the meta-analysis with RNA-Seq data from breast cancer-bearing mice treated with melatonin. Mechanistically, melatonin upregulated genes associated with immune responses and apoptotic processes, whereas it downregulated genes involved in cellular aggressiveness/metastasis (eg, mitosis, telomerase activity, and angiogenesis). We further characterized the expression profile of our gene subsets with human breast cancer and found eight upregulated genes and 16 downregulated genes that were appositively correlated with melatonin. Our results pose a multi-dimension network of tumor-associated genes regulated by miRNAs potentially targeted by melatonin.
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Affiliation(s)
- Luiz Gustavo de Almeida Chuffa
- Department of Structural and Functional Biology, Institute of Biosciences, UNESP - São Paulo State University, Botucatu, Brazil
| | - Robson Francisco Carvalho
- Department of Structural and Functional Biology, Institute of Biosciences, UNESP - São Paulo State University, Botucatu, Brazil
| | - Luis Antônio Justulin
- Department of Structural and Functional Biology, Institute of Biosciences, UNESP - São Paulo State University, Botucatu, Brazil
| | - Sarah Santiloni Cury
- Department of Structural and Functional Biology, Institute of Biosciences, UNESP - São Paulo State University, Botucatu, Brazil
| | | | | | | | - Russel J Reiter
- Department of Cell Systems and Anatomy, UT Health, San Antonio, TX, USA
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17
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Crucial transcripts predict response to initial immunoglobulin treatment in acute Kawasaki disease. Sci Rep 2020; 10:17860. [PMID: 33082496 PMCID: PMC7575539 DOI: 10.1038/s41598-020-75039-z] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2020] [Accepted: 10/08/2020] [Indexed: 02/07/2023] Open
Abstract
Although intravenous immunoglobulin (IVIG) can effectively treat Kawasaki disease (KD), 10–20% of KD patients show no beneficial clinical response. Developing reliable criteria to discriminate non-responders is important for early planning of appropriate regimens. To predict the non-responders before IVIG treatment, gene expression dataset of 110 responders and 61 non-responders was obtained from Gene Expression Omnibus. After weighted gene co-expression network analysis, we found that modules positively correlated with the non-responders were mainly associated with myeloid cell activation. Transcripts up-regulated in the non-responders, IL1R2, GK, HK3, C5orf32, CXCL16, NAMPT and EMILIN2, were proven to play key roles via interaction with other transcripts in co-expression network. The crucial transcripts may affect the clinical response to IVIG treatment in acute KD. And these transcripts may serve as biomarkers and therapeutic targets for precise diagnosis and treatment of the non-responders.
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18
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Mortezaee K, Potes Y, Mirtavoos-Mahyari H, Motevaseli E, Shabeeb D, Musa AE, Najafi M, Farhood B. Boosting immune system against cancer by melatonin: A mechanistic viewpoint. Life Sci 2019; 238:116960. [PMID: 31629760 DOI: 10.1016/j.lfs.2019.116960] [Citation(s) in RCA: 48] [Impact Index Per Article: 9.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2019] [Revised: 10/05/2019] [Accepted: 10/11/2019] [Indexed: 12/15/2022]
Abstract
Cancer is a disease of high complexity. Resistance to therapy is a major challenge in cancer targeted therapies. Overcoming this resistance requires a deep knowledge of the cellular interactions within tumor. Natural killer (NK) cells and cytotoxic T lymphocytes (CTLs) are the main anti-cancer immune cells, while T regulatory cells (Tregs) and cancer associated fibroblasts (CAFs) facilitate immune escape of cancer cells. Melatonin is a natural agent with anti-cancer functions that has also been suggested as an adjuvant in combination with cancer therapy modalities such as chemotherapy, radiotherapy, immunotherapy and tumor vaccination. One of the main effects of melatonin is regulation of immune responses against cancer cells. Melatonin has been shown to potentiate the activities of anti-cancer immune cells, as well as attenuating the activities of Tregs and CAFs. It also has a potent effect on the mitochondria, which may change immune responses against cancer. In this review, we explain the mechanisms of immune regulation by melatonin involved in its anti-cancer effects.
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Affiliation(s)
- Keywan Mortezaee
- Department of Anatomy, School of Medicine, Kurdistan University of Medical Sciences, Sanandaj, Iran
| | - Yaiza Potes
- Department of Morphology and Cell Biology, Faculty of Medicine, University of Oviedo, C/ Julián Clavería 6, 33006, Oviedo, Spain
| | - Hanifeh Mirtavoos-Mahyari
- Department of Medical Genetics, Faculty of Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Elahe Motevaseli
- Department of Molecular Medicine, School of Advanced Technologies in Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Dheyauldeen Shabeeb
- Department of Physiology, College of Medicine, University of Misan, Misan, Iraq
| | - Ahmed Eleojo Musa
- Department of Medical Physics, Tehran University of Medical Sciences (International Campus), Tehran, Iran
| | - Masoud Najafi
- Radiology and Nuclear Medicine Department, School of Paramedical Sciences, Kermanshah University of Medical Sciences, Kermanshah, Iran.
| | - Bagher Farhood
- Department of Medical Physics and Radiology, Faculty of Paramedical Sciences, Kashan University of Medical Sciences, Kashan, Iran.
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19
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Yang H, Li H. CD36 identified by weighted gene co-expression network analysis as a hub candidate gene in lupus nephritis. PeerJ 2019; 7:e7722. [PMID: 31592160 PMCID: PMC6777479 DOI: 10.7717/peerj.7722] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2019] [Accepted: 08/22/2019] [Indexed: 12/18/2022] Open
Abstract
Lupus nephritis (LN) is a severe manifestation of systemic lupus erythematosus (SLE), which often progresses to end-stage renal disease (ESRD) and ultimately leads to death. At present, there are no definitive therapies towards LN, so that illuminating the molecular mechanism behind the disease has become an urgent task for researchers. Bioinformatics has become a widely utilized method for exploring genes related to disease. This study set out to conduct weighted gene co-expression network analysis (WGCNA) and screen the hub gene of LN. We performed WGCNA on the microarray expression profile dataset of GSE104948 from the Gene Expression Omnibus (GEO) database with 18 normal and 21 LN samples of glomerulus. A total of 5,942 genes were divided into 5 co-expression modules, one of which was significantly correlated to LN. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were conducted on the LN-related module, and the module was proved to be associated mainly with the activation of inflammation, immune response, cytokines, and immune cells. Genes in the most significant GO terms were extracted for sub-networks of WGNCA. We evaluated the centrality of genes in the sub-networks by Maximal Clique Centrality (MCC) method and CD36 was ultimately screened out as a hub candidate gene of the pathogenesis of LN. The result was verified by its differentially expressed level between normal and LN in GSE104948 and the other three multi-microarray datasets of GEO. Moreover, we further demonstrated that the expression level of CD36 is related to the WHO Lupus Nephritis Class of LN patients with the help of Nephroseq database. The current study proposed CD36 as a vital candidate gene in LN for the first time and CD36 may perform as a brand-new biomarker or therapeutic target of LN in the future.
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Affiliation(s)
- Huiying Yang
- Department of Nephrology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, China
| | - Hua Li
- Department of Nephrology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, China
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Zhao CN, Wang P, Mao YM, Dan YL, Wu Q, Li XM, Wang DG, Davis C, Hu W, Pan HF. Potential role of melatonin in autoimmune diseases. Cytokine Growth Factor Rev 2019; 48:1-10. [DOI: 10.1016/j.cytogfr.2019.07.002] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2019] [Revised: 07/11/2019] [Accepted: 07/11/2019] [Indexed: 12/28/2022]
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