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Pisamai S, Edwards SW, Cheng CW, Chaivichit P, Sooksiri M, Yanakam S, Maneewong S, Suriyaphol G. Tissue transcriptome profiling and pathway analyses revealed novel potential biomarkers in the tumor progression of canine oral melanoma. Res Vet Sci 2023; 165:105036. [PMID: 37856944 DOI: 10.1016/j.rvsc.2023.105036] [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: 09/06/2022] [Revised: 09/16/2023] [Accepted: 09/22/2023] [Indexed: 10/21/2023]
Abstract
Canine oral melanoma (COM) is an aggressive oral malignancy in dogs, mostly with metastasis. However, the understanding of total gene expression of oral melanoma (OM) at different clinical stages has been limited. The objective of this study was to identify novel mRNA biomarkers of early-stage OM (EOM) and late-stage OM (LOM). Transcriptome sequencing of 3 EOM, 5 LOM and 4 normal gingival tissues (controls) was performed. Selected transcriptome results were validated by quantitative reverse transcription-PCR (qRT-PCR) using 12 LOM and 10 controls. We found 534 differentially expressed in EOM compared with controls, whereas 696 genes in LOM were differentially expressed compared with controls (P < 0.05). Moreover, 27 genes were differentially expressed in LOM compared with EOM (P < 0.05). The genes expressed in COM were involved in the molecular mechanism of cancer and melanocyte development pathways, promoting melanoma progression. qRT-PCR confirmed an increased expression of genes encoding an important protein in chemotherapy resistance (dopachrome tautomerase, DCT) and tumor progression (forkhead box M1, FOXM1), and decreased expression of a tumor suppression gene (N-myc downstream-regulated gene 2, NDRG2) in LOM, concordant with transcriptome results. In conclusion, this study revealed the comprehensive transcriptome from COM tissues, and increased DCT and FOXM1 and decreased NDRG2 gene expression indicated the potential candidate biomarkers in COM progression.
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Affiliation(s)
- Sirinun Pisamai
- Department of Veterinary Surgery, Faculty of Veterinary Science, Chulalongkorn University, Bangkok 10330, Thailand; Center of Excellence for Companion Animal Cancer, Faculty of Veterinary Science, Chulalongkorn University, Bangkok 10330, Thailand
| | - Steven W Edwards
- Institute of Infection, Veterinary and Ecological Sciences, Faculty of Health and Life Sciences, University of Liverpool, Liverpool L69 3BX, United Kingdom
| | - Chew Weng Cheng
- Leeds Institute of Cardiovascular and Metabolic Medicine, School of Medicine, University of Leeds, Leeds LS2 9JT, United Kingdom
| | - Phannita Chaivichit
- Biochemistry Unit, Department of Physiology, Faculty of Veterinary Science, Chulalongkorn University, Bangkok 10330, Thailand
| | - Mokhapoom Sooksiri
- Biochemistry Unit, Department of Physiology, Faculty of Veterinary Science, Chulalongkorn University, Bangkok 10330, Thailand
| | - Sujittra Yanakam
- Biochemistry Unit, Department of Physiology, Faculty of Veterinary Science, Chulalongkorn University, Bangkok 10330, Thailand
| | - Sattabongkoch Maneewong
- Biochemistry Unit, Department of Physiology, Faculty of Veterinary Science, Chulalongkorn University, Bangkok 10330, Thailand
| | - Gunnaporn Suriyaphol
- Center of Excellence for Companion Animal Cancer, Faculty of Veterinary Science, Chulalongkorn University, Bangkok 10330, Thailand; Biochemistry Unit, Department of Physiology, Faculty of Veterinary Science, Chulalongkorn University, Bangkok 10330, Thailand.
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2
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Huang M, Long C, Ma J. AAFL: automatic association feature learning for gene signature identification of cancer subtypes in single-cell RNA-seq data. Brief Funct Genomics 2023; 22:420-427. [PMID: 37122141 DOI: 10.1093/bfgp/elac047] [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: 07/07/2022] [Revised: 11/04/2022] [Accepted: 11/04/2022] [Indexed: 05/02/2023] Open
Abstract
Single-cell RNA-sequencing (scRNA-seq) technologies have enabled the study of human cancers in individual cells, which explores the cellular heterogeneity and the genotypic status of tumors. Gene signature identification plays an important role in the precise classification of cancer subtypes. However, most existing gene selection methods only select the same informative genes for each subtype. In this study, we propose a novel gene selection method, automatic association feature learning (AAFL), which automatically identifies different gene signatures for different cell subpopulations (cancer subtypes) at the same time. The proposed AAFL method combines the residual network with the low-rank network, which selects genes that are most associated with the corresponding cell subpopulations. Moreover, the differential expression genes are acquired before gene selection to filter the redundant genes. We apply the proposed feature learning method to the real cancer scRNA-seq data sets (melanoma) to identify cancer subtypes and detect gene signatures of identified cancer subtypes. The experimental results demonstrate that the proposed method can automatically identify different gene signatures for identified cancer subtypes. Gene ontology enrichment analysis shows that the identified gene signatures of different subtypes reveal the key biological processes and pathways. These gene signatures are expected to bring important implications for understanding cellular heterogeneity and the complex ecosystem of tumors.
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Affiliation(s)
- Meng Huang
- Department of Computer Science, University of Tsukuba, Tsukuba, 3058577, Japan
| | - Changzhou Long
- Department of Computer Science, University of Tsukuba, Tsukuba, 3058577, Japan
| | - Jiangtao Ma
- Department of Automation, Xiamen University, Xiamen, 361005, China
- School of Engineering, Dali University, Dali, 671000, China
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3
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Sorting Transcriptomics Immune Information from Tumor Molecular Features Allows Prediction of Response to Anti-PD1 Therapy in Patients with Advanced Melanoma. Int J Mol Sci 2023; 24:ijms24010801. [PMID: 36614248 PMCID: PMC9821399 DOI: 10.3390/ijms24010801] [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: 11/07/2022] [Revised: 12/21/2022] [Accepted: 12/27/2022] [Indexed: 01/05/2023] Open
Abstract
Immunotherapy based on anti-PD1 antibodies has improved the outcome of advanced melanoma. However, prediction of response to immunotherapy remains an unmet need in the field. Tumor PD-L1 expression, mutational burden, gene profiles and microbiome profiles have been proposed as potential markers but are not used in clinical practice. Probabilistic graphical models and classificatory algorithms were used to classify melanoma tumor samples from a TCGA cohort. A cohort of patients with advanced melanoma treated with PD-1 inhibitors was also analyzed. We established that gene expression data can be grouped in two different layers of information: immune and molecular. In the TCGA, the molecular classification provided information on processes such as epidermis development and keratinization, melanogenesis, and extracellular space and membrane. The immune layer classification was able to distinguish between responders and non-responders to immunotherapy in an independent series of patients with advanced melanoma treated with PD-1 inhibitors. We established that the immune information is independent than molecular features of the tumors in melanoma TCGA cohort, and an immune classification of these tumors was established. This immune classification was capable to determine what patients are going to respond to immunotherapy in a new cohort of patients with advanced melanoma treated with PD-1 inhibitors Therefore, this immune signature could be useful to the clinicians to identify those patients who will respond to immunotherapy.
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4
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Chen J, Yang P, Zhang Q, Chen R, Wang P, Liu B, Sun W, Jian X, Xiang S, Zhou J, Li N, Wang K, Gao C, Wen Y, Wu C, Zhang J, Zhao Y, Yang Q, Li M, Stewart R, Sun Y, Pan D, Niu Y, Wang Z, Xu Y, Li X, He L, Li Z, Shi Y. Genetic risk of clozapine-induced leukopenia and neutropenia: a genome-wide association study. Transl Psychiatry 2021; 11:343. [PMID: 34083506 PMCID: PMC8175348 DOI: 10.1038/s41398-021-01470-z] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/02/2020] [Revised: 04/20/2021] [Accepted: 05/06/2021] [Indexed: 12/18/2022] Open
Abstract
BACKGROUND Clozapine is considered to be the most effective antipsychotic medication for schizophrenia. However, it is associated with several adverse effects such as leukopenia, and the underlying mechanism has not yet been fully elucidated. The authors performed a genome-wide association study (GWAS) in a Chinese population to identify genetic markers for clozapine-induced leukopenia (CIL) and clozapine-induced neutropenia (CIN). METHODS A total of 1879 patients (225 CIL cases, including 43 CIN cases, and 1,654 controls) of Chinese descent were included. Data from common and rare single nucleotide polymorphisms (SNPs) were tested for association. The authors also performed a trans-ancestry meta-analysis with GWAS results of European individuals from the Clozapine-Induced Agranulocytosis Consortium (CIAC). RESULTS The authors identified several novel loci reaching the threshold of genome-wide significance level (P < 5 × 10-8). Three novel loci were associated with CIL while six were associated with CIN, and two T cell related genes (TRAC and TRAT1) were implicated. The authors also observed that one locus with evidence close to genome-wide significance (P = 5.08 × 10-8) was near the HLA-B gene in the major histocompatibility complex region in the trans-ancestry meta-analysis. CONCLUSIONS The associations provide novel and valuable understanding of the genetic and immune causes of CIL and CIN, which is useful for improving clinical management of clozapine related treatment for schizophrenia. Causal variants and related underlying molecular mechanisms need to be understood in future developments.
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Affiliation(s)
- Jianhua Chen
- The Affiliated Hospital of Qingdao University & The Biomedical Sciences Institute of Qingdao University (Qingdao Branch of SJTU Bio-X Institutes), Qingdao University, Qingdao, 266003, PR China.
- Shanghai Clinical Research Center for Mental Health, Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, 200030, PR China.
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), The Collaborative Innovation Center for Brain Science, Shanghai Jiao Tong University, Shanghai, 200030, PR China.
- Department of Psychological Medicine, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, SE5 8AF, United Kingdom.
| | - Ping Yang
- Wuhu Fourth People's Hospital, Wuhu, 242407, PR China
| | - Qian Zhang
- The Affiliated Hospital of Qingdao University & The Biomedical Sciences Institute of Qingdao University (Qingdao Branch of SJTU Bio-X Institutes), Qingdao University, Qingdao, 266003, PR China
| | - Ruirui Chen
- The Affiliated Hospital of Qingdao University & The Biomedical Sciences Institute of Qingdao University (Qingdao Branch of SJTU Bio-X Institutes), Qingdao University, Qingdao, 266003, PR China
| | - Peng Wang
- Wuhu Fourth People's Hospital, Wuhu, 242407, PR China
| | - Benxiu Liu
- Longquan Mountain Hospital of Guangxi Province, Liuzhou, 545005, PR China
| | - Wensheng Sun
- Longquan Mountain Hospital of Guangxi Province, Liuzhou, 545005, PR China
| | - Xuemin Jian
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), The Collaborative Innovation Center for Brain Science, Shanghai Jiao Tong University, Shanghai, 200030, PR China
| | - Siying Xiang
- Shanghai Clinical Research Center for Mental Health, Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, 200030, PR China
| | - Juan Zhou
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), The Collaborative Innovation Center for Brain Science, Shanghai Jiao Tong University, Shanghai, 200030, PR China
| | - Ningning Li
- Shanghai Clinical Research Center for Mental Health, Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, 200030, PR China
| | - Ke Wang
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), The Collaborative Innovation Center for Brain Science, Shanghai Jiao Tong University, Shanghai, 200030, PR China
| | - Chengwen Gao
- The Affiliated Hospital of Qingdao University & The Biomedical Sciences Institute of Qingdao University (Qingdao Branch of SJTU Bio-X Institutes), Qingdao University, Qingdao, 266003, PR China
| | - Yanqin Wen
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), The Collaborative Innovation Center for Brain Science, Shanghai Jiao Tong University, Shanghai, 200030, PR China
| | - Chuanhong Wu
- The Affiliated Hospital of Qingdao University & The Biomedical Sciences Institute of Qingdao University (Qingdao Branch of SJTU Bio-X Institutes), Qingdao University, Qingdao, 266003, PR China
| | - Jinmai Zhang
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), The Collaborative Innovation Center for Brain Science, Shanghai Jiao Tong University, Shanghai, 200030, PR China
| | - Yalin Zhao
- The Affiliated Hospital of Qingdao University & The Biomedical Sciences Institute of Qingdao University (Qingdao Branch of SJTU Bio-X Institutes), Qingdao University, Qingdao, 266003, PR China
| | - Qiangzhen Yang
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), The Collaborative Innovation Center for Brain Science, Shanghai Jiao Tong University, Shanghai, 200030, PR China
| | - Meihang Li
- The Affiliated Hospital of Qingdao University & The Biomedical Sciences Institute of Qingdao University (Qingdao Branch of SJTU Bio-X Institutes), Qingdao University, Qingdao, 266003, PR China
| | - Robert Stewart
- Department of Psychological Medicine, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, SE5 8AF, United Kingdom
- South London and Maudsley NHS Foundation Trust, London, UK
| | - Yuanchao Sun
- The Affiliated Hospital of Qingdao University & The Biomedical Sciences Institute of Qingdao University (Qingdao Branch of SJTU Bio-X Institutes), Qingdao University, Qingdao, 266003, PR China
| | - Dun Pan
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), The Collaborative Innovation Center for Brain Science, Shanghai Jiao Tong University, Shanghai, 200030, PR China
| | - Yujuan Niu
- The Affiliated Hospital of Qingdao University & The Biomedical Sciences Institute of Qingdao University (Qingdao Branch of SJTU Bio-X Institutes), Qingdao University, Qingdao, 266003, PR China
| | - Zhuo Wang
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), The Collaborative Innovation Center for Brain Science, Shanghai Jiao Tong University, Shanghai, 200030, PR China
| | - Yifeng Xu
- Shanghai Clinical Research Center for Mental Health, Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, 200030, PR China
| | - Xingwang Li
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), The Collaborative Innovation Center for Brain Science, Shanghai Jiao Tong University, Shanghai, 200030, PR China
| | - Lin He
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), The Collaborative Innovation Center for Brain Science, Shanghai Jiao Tong University, Shanghai, 200030, PR China
| | - Zhiqiang Li
- The Affiliated Hospital of Qingdao University & The Biomedical Sciences Institute of Qingdao University (Qingdao Branch of SJTU Bio-X Institutes), Qingdao University, Qingdao, 266003, PR China.
- Shanghai Clinical Research Center for Mental Health, Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, 200030, PR China.
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), The Collaborative Innovation Center for Brain Science, Shanghai Jiao Tong University, Shanghai, 200030, PR China.
- Shanghai Key Laboratory of Sleep Disordered Breathing, Shanghai, 200030, PR China.
| | - Yongyong Shi
- The Affiliated Hospital of Qingdao University & The Biomedical Sciences Institute of Qingdao University (Qingdao Branch of SJTU Bio-X Institutes), Qingdao University, Qingdao, 266003, PR China.
- Shanghai Clinical Research Center for Mental Health, Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, 200030, PR China.
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), The Collaborative Innovation Center for Brain Science, Shanghai Jiao Tong University, Shanghai, 200030, PR China.
- Shanghai Key Laboratory of Sleep Disordered Breathing, Shanghai, 200030, PR China.
- Shanghai Changning Mental Health Center, 299 Xiehe Road, Shanghai, 200042, PR China.
- Department of Psychiatry, The First Teaching Hospital of Xinjiang Medical University, Urumqi, 830054, PR China.
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5
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Xu W, Yan J, Ocak U, Lenahan C, Shao A, Tang J, Zhang J, Zhang JH. Melanocortin 1 receptor attenuates early brain injury following subarachnoid hemorrhage by controlling mitochondrial metabolism via AMPK/SIRT1/PGC-1α pathway in rats. Am J Cancer Res 2021; 11:522-539. [PMID: 33391490 PMCID: PMC7738864 DOI: 10.7150/thno.49426] [Citation(s) in RCA: 78] [Impact Index Per Article: 19.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2020] [Accepted: 10/05/2020] [Indexed: 12/14/2022] Open
Abstract
Mitochondria-mediated oxidative stress and apoptosis contribute greatly to early brain injury (EBI) following subarachnoid hemorrhage (SAH). This study hypothesized that activation of melanocortin 1 receptor (MC1R), using BMS-470539, attenuates EBI by controlling mitochondrial metabolism after SAH. Methods: We utilized BMS-470539, MSG-606, selisistat, and PGC-1α to verify the neuroprotective effects of MC1R. We evaluated short- and long-term neurobehavior after SAH. Western blotting, immunofluorescence, and Golgi staining techniques were performed to assess changes in protein levels. Results: The results of western blotting suggested that the expression of SIRT1 and PGC-1α were increased, reaching their peaks at 24 h following SAH. Moreover, BMS-470539 treatment notably attenuated neurological deficits, and also reduced long-term spatial learning and memory impairments caused by SAH. The underlying neuroprotective mechanisms of the BMS-470539/MC1R system were mediated through the suppression of oxidative stress, apoptosis, and mitochondrial fission by increasing the levels of SIRT1, PGC-1α, UCP2, SOD, GPx, Bcl-2, cyto-Drp1, and ATP, while decreasing the levels of cleaved caspase-3, Bax, mito-Drp1, ROS, GSH/GSSG, and NADPH/NADP+ ratios. The neuroprotective effects of the BMS-470539/MC1R system were significantly abolished by MSG-606, selisistat, and PGC-1α siRNA. Conclusions: The activation of MC1R with BMS-470539 significantly attenuated EBI after SAH by suppressing the oxidative stress, apoptosis, and mitochondrial fission through the AMPK/SIRT1/PGC-1α signaling pathway.
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Kim P, Park A, Han G, Sun H, Jia P, Zhao Z. TissGDB: tissue-specific gene database in cancer. Nucleic Acids Res 2019; 46:D1031-D1038. [PMID: 29036590 PMCID: PMC5753286 DOI: 10.1093/nar/gkx850] [Citation(s) in RCA: 48] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2017] [Accepted: 09/15/2017] [Indexed: 12/11/2022] Open
Abstract
Tissue-specific gene expression is critical in understanding biological processes, physiological conditions, and disease. The identification and appropriate use of tissue-specific genes (TissGenes) will provide important insights into disease mechanisms and organ-specific therapeutic targets. To better understand the tissue-specific features for each cancer type and to advance the discovery of clinically relevant genes or mutations, we built TissGDB (Tissue specific Gene DataBase in cancer) available at http://zhaobioinfo.org/TissGDB. We collected and curated 2461 tissue specific genes (TissGenes) across 22 tissue types that matched the 28 cancer types of The Cancer Genome Atlas (TCGA) from three representative tissue-specific gene expression resources: The Human Protein Atlas (HPA), Tissue-specific Gene Expression and Regulation (TiGER), and Genotype-Tissue Expression (GTEx). For these 2461 TissGenes, we performed gene expression, somatic mutation, and prognostic marker-based analyses across 28 cancer types using TCGA data. Our analyses identified hundreds of TissGenes, including genes that universally kept or lost tissue-specific gene expression, with other features: cancer type-specific isoform expression, fusion with oncogenes or tumor suppressor genes, and markers for protective or risk prognosis. TissGDB provides seven categories of annotations: TissGeneSummary, TissGeneExp, TissGene-miRNA, TissGeneMut, TissGeneNet, TissGeneProg, TissGeneClin.
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Affiliation(s)
- Pora Kim
- Center for Precision Health, School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Aekyung Park
- Center for Precision Health, School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA.,College of Pharmacy and Research Institute of Life and Pharmaceutical Sciences, Sunchon National University, Suncheon 57922, Korea
| | - Guangchun Han
- Center for Precision Health, School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Hua Sun
- Center for Precision Health, School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Peilin Jia
- Center for Precision Health, School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Zhongming Zhao
- Center for Precision Health, School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA.,Human Genetics Center, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
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7
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An Evolutionary Perspective of Dopachrome Tautomerase Enzymes in Metazoans. Genes (Basel) 2019; 10:genes10070495. [PMID: 31261784 PMCID: PMC6678240 DOI: 10.3390/genes10070495] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2019] [Revised: 06/19/2019] [Accepted: 06/24/2019] [Indexed: 12/19/2022] Open
Abstract
Melanin plays a pivotal role in the cellular processes of several metazoans. The final step of the enzymically-regulated melanin biogenesis is the conversion of dopachrome into dihydroxyindoles, a reaction catalyzed by a class of enzymes called dopachrome tautomerases. We traced dopachrome tautomerase (DCT) and dopachrome converting enzyme (DCE) genes throughout metazoans and we could show that only one class is present in most of the phyla. While DCTs are typically found in deuterostomes, DCEs are present in several protostome phyla, including arthropods and mollusks. The respective DCEs belong to the yellow gene family, previously reported to be taxonomically restricted to insects, bacteria and fungi. Mining genomic and transcriptomic data of metazoans, we updated the distribution of DCE/yellow genes, demonstrating their presence and active expression in most of the lophotrochozoan phyla as well as in copepods (Crustacea). We have traced one intronless DCE/yellow gene through most of the analyzed lophotrochozoan genomes and we could show that it was subjected to genomic diversification in some species, while it is conserved in other species. DCE/yellow was expressed in most phyla, although it showed tissue specific expression patterns. In the parasitic copepod Mytilicola intestinalis DCE/yellow even belonged to the 100 most expressed genes. Both tissue specificity and high expression suggests that diverse functions of this gene family also evolved in other phyla apart from insects.
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8
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Abstract
Human skin and hair color are visible traits that can vary dramatically within and across ethnic populations. The genetic makeup of these traits-including polymorphisms in the enzymes and signaling proteins involved in melanogenesis, and the vital role of ion transport mechanisms operating during the maturation and distribution of the melanosome-has provided new insights into the regulation of pigmentation. A large number of novel loci involved in the process have been recently discovered through four large-scale genome-wide association studies in Europeans, two large genetic studies of skin color in Africans, one study in Latin Americans, and functional testing in animal models. The responsible polymorphisms within these pigmentation genes appear at different population frequencies, can be used as ancestry-informative markers, and provide insight into the evolutionary selective forces that have acted to create this human diversity.
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Affiliation(s)
- William J Pavan
- Genetic Disease Research Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland 20892, USA;
| | - Richard A Sturm
- Dermatology Research Centre, The University of Queensland Diamantina Institute, The University of Queensland, Brisbane, Queensland 4102, Australia;
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9
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Uli N, Michelen-Gomez E, Ramos EI, Druley TE. Age-specific changes in genome-wide methylation enrich for Foxa2 and estrogen receptor alpha binding sites. PLoS One 2018; 13:e0203147. [PMID: 30256791 PMCID: PMC6157835 DOI: 10.1371/journal.pone.0203147] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2018] [Accepted: 08/15/2018] [Indexed: 12/26/2022] Open
Abstract
The role of DNA methylation patterns in complex phenotypes remains unclear. To explore this question, we adapted our methods for rare variant analysis to characterize genome-wide murine DNA hybridization array to investigate methylation at CpG islands, shores, and regulatory elements. We have applied this platform to compare age and tissue- specific methylation differences in the brain and spleen of young and aged mice. As expected from prior studies, there are clear global differences in organ-specific, but not age-specific, methylation due mostly to changes at repetitive elements. Surprisingly, out of 200,000 loci there were only 946 differentially methylated cytosines (DMCs) between young and old samples (529 hypermethylated, 417 hypomethylated in aged mice) compared to thousands of tissue-specific DMCs. Hypermethylated loci were clustered around the promoter region of Sfi1, exon 2 of Slc11a2, Drg1, Esr1 and Foxa2 transcription factor binding sites. In particular, there were 75 hypermethylated Foxa2 binding sites across a 2.7 Mb region of chromosome 11. Hypomethylated loci were clustered around Mid1, Isoc2b and genome-wide loci with binding sites for Foxa2 and Esr1, which are known to play important roles in development and aging. These data suggest discreet tissue-independent methylation changes associated with aging processes such as cell division (Sfi1, Mid1), energy production (Drg1, Isoc2b) and cell death (Foxa2, Esr1).
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Affiliation(s)
- Nishanth Uli
- Center for Genome Sciences and Systems Biology, Washington University School of Medicine, St. Louis, Missouri, United States of America
| | - Eduardo Michelen-Gomez
- Center for Genome Sciences and Systems Biology, Washington University School of Medicine, St. Louis, Missouri, United States of America
| | - Enrique I. Ramos
- Center for Genome Sciences and Systems Biology, Washington University School of Medicine, St. Louis, Missouri, United States of America
| | - Todd E. Druley
- Center for Genome Sciences and Systems Biology, Washington University School of Medicine, St. Louis, Missouri, United States of America
- Department of Pediatrics, Washington University School of Medicine, St. Louis, Missouri, United States of America
- Department of Genetics, Washington University School of Medicine, St. Louis, Missouri, United States of America
- Department of Developmental Biology, Washington University School of Medicine, St. Louis, Missouri, United States of America
- * E-mail:
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10
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Li CY, Cui JY. Regulation of protein-coding gene and long noncoding RNA pairs in liver of conventional and germ-free mice following oral PBDE exposure. PLoS One 2018; 13:e0201387. [PMID: 30067809 PMCID: PMC6070246 DOI: 10.1371/journal.pone.0201387] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2017] [Accepted: 07/14/2018] [Indexed: 02/07/2023] Open
Abstract
Gut microbiome communicates with the host liver to modify hepatic xenobiotic biotransformation and nutrient homeostasis. Polybrominated diphenyl ethers (PBDEs) are persistent environmental contaminants that are detected in fatty food, household dust, and human breast milk at worrisome levels. Recently, long noncoding RNAs (lncRNAs) have been recognized as novel biomarkers for toxicological responses and may regulate the transcriptional/translational output of protein-coding genes (PCGs). However, very little is known regarding to what extent the interactions between PBDEs and gut microbiome modulate hepatic lncRNAs and PCGs, and what critical signaling pathways are impacted at the transcriptomic scale. In this study, we performed RNA-Seq in livers of nine-week-old male conventional (CV) and germ-free (GF) mice orally exposed to the most prevalent PBDE congeners BDE-47 and BDE-99 (100 μmol/kg once daily for 4-days; vehicle: corn oil, 10 ml/kg), and unveiled key molecular pathways and PCG-lncRNA pairs targeted by PBDE-gut microbiome interactions. Lack of gut microbiome profoundly altered the PBDE-mediated transcriptomic response in liver, with the most prominent effect observed in BDE-99-exposed GF mice. The top pathways up-regulated by PBDEs were related to xenobiotic metabolism, whereas the top pathways down-regulated by PBDEs were in lipid metabolism and protein synthesis in both enterotypes. Genomic annotation of the differentially regulated lncRNAs revealed that majority of these lncRNAs overlapped with introns and 3'-UTRs of PCGs. Lack of gut microbiome profoundly increased the percentage of PBDE-regulated lncRNAs mapped to the 3'-UTRs of PCGs, suggesting the potential involvement of lncRNAs in increasing the translational efficiency of PCGs by preventing miRNA-3'-UTR binding, as a compensatory mechanism following toxic exposure to PBDEs. Pathway analysis of PCGs paired with lncRNAs revealed that in CV mice, BDE-47 regulated nucleic acid and retinol metabolism, as well as circadian rhythm; whereas BDE-99 regulated fatty acid metabolism. In GF mice, BDE-47 differentially regulated 19 lncRNA-PCG pairs that were associated with glutathione conjugation and transcriptional regulation. In contrast, BDE-99 up-regulated the xenobiotic-metabolizing Cyp3a genes, but down-regulated the fatty acid-metabolizing Cyp4 genes. Taken together, the present study reveals common and unique lncRNAs and PCG targets of PBDEs in mouse liver, and is among the first to show that lack of gut microbiome sensitizes the liver to toxic exposure of BDE-99 but not BDE-47. Therefore, lncRNAs may serve as specific biomarkers that differentiate various PBDE congeners as well as environmental chemical-mediated dysbiosis. Coordinate regulation of PCG-lncRNA pairs may serve as a more efficient molecular mechanism to combat against xenobiotic insult, and especially during dysbiosis-induced increase in the internal dose of toxicants.
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Affiliation(s)
- Cindy Yanfei Li
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, Washington, United States of America
| | - Julia Yue Cui
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, Washington, United States of America
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11
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Oliveira T, Costa I, Marinho V, Carvalho V, Uchôa K, Ayres C, Teixeira S, Vasconcelos DFP. Human foreskin fibroblasts: from waste bag to important biomedical applications. JOURNAL OF CLINICAL UROLOGY 2018. [DOI: 10.1177/2051415818761526] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
Circumcision is one of the most performed surgical procedures worldwide, and it is estimated that one in three men worldwide is circumcised, which makes the preputial skin removed after surgery an abundant material for possible applications. In particular, it is possible efficiently to isolate the cells of the foreskin, with fibroblasts being the most abundant cells of the dermis and the most used in biomedical research. This work aimed to review the knowledge and obtain a broad view of the main applications of human foreskin fibroblast cell culture. A literature search was conducted, including clinical trials, preclinical basic research studies, reviews and experimental studies. Several medical and laboratory applications of human foreskin fibroblast cell culture have been described, especially when it comes to the use of human foreskin fibroblasts as feeder cells for the cultivation of human embryonic stem cells, in addition to co-culture with other cell types. The culture of foreskin fibroblasts has also been used to: obtain induced pluripotent stem cells; the diagnosis of Clostridium difficile; to test the toxicity and effect of substances on normal cells, especially the toxicity of possible antineoplastic drugs; in viral culture, mainly of the human cytomegalovirus, study of the pathogenesis of other microorganisms; varied studies of cellular physiology and cellular interactions. Fibroblasts are important for cell models for varied application cultures, demonstrating how the preputial material can be reused, making possible new applications. Level of evidence: Not applicable for this multicentre audit.
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Affiliation(s)
- Thomaz Oliveira
- Genetics and Molecular Biology Laboratory, Federal University of Piauí (UFPI), Brazil
- Brain Mapping and Plasticity Laboratory, Federal University of Piauí (UFPI), Brazil
- Biomedical Sciences, Federal University of Piauí (UFPI), Brazil
| | - Ilana Costa
- Biomedical Sciences, Federal University of Piauí (UFPI), Brazil
| | - Victor Marinho
- Genetics and Molecular Biology Laboratory, Federal University of Piauí (UFPI), Brazil
- Brain Mapping and Plasticity Laboratory, Federal University of Piauí (UFPI), Brazil
- Biomedical Sciences, Federal University of Piauí (UFPI), Brazil
| | - Valécia Carvalho
- Brain Mapping and Plasticity Laboratory, Federal University of Piauí (UFPI), Brazil
- Biomedical Sciences, Federal University of Piauí (UFPI), Brazil
| | - Karla Uchôa
- Genetics and Molecular Biology Laboratory, Federal University of Piauí (UFPI), Brazil
- Biomedical Sciences, Federal University of Piauí (UFPI), Brazil
| | - Carla Ayres
- Brain Mapping and Plasticity Laboratory, Federal University of Piauí (UFPI), Brazil
| | - Silmar Teixeira
- Brain Mapping and Plasticity Laboratory, Federal University of Piauí (UFPI), Brazil
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12
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Dong X, Han Y, Sun Z, Xu J. Actin Gamma 1, a new skin cancer pathogenic gene, identified by the biological feature‐based classification. J Cell Biochem 2017; 119:1406-1419. [DOI: 10.1002/jcb.26301] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2017] [Accepted: 07/19/2017] [Indexed: 01/27/2023]
Affiliation(s)
- Xinqian Dong
- Pathology DepartmentLiaocheng People's HospitalLiaochengChina
| | - Yingsheng Han
- Dermatology DepartmentLiaocheng People's HospitalLiaochengChina
| | - Zhen Sun
- Gastroenterology DepartmentLiaocheng People's HospitalLiaochengChina
| | - Junlong Xu
- Pathology DepartmentLiaocheng People's HospitalLiaochengChina
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13
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Li B, He X, Zhao Y, Bai D, Shiraigo W, Zhao Q, Manglai D. Regulatory pathway analysis of coat color genes in Mongolian horses. Hereditas 2017; 155:13. [PMID: 28974924 PMCID: PMC5622463 DOI: 10.1186/s41065-017-0048-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2017] [Accepted: 09/18/2017] [Indexed: 12/21/2022] Open
Abstract
BACKGROUND Studies on the molecular genetics of horse skin pigmentation have typically focused on very few genes and proteins. In this study, we used Illumina sequencing to determine the global gene expression profiles in horses with white-colored coats and those with black-colored coats, with the goal of identifying novel genes that could regulate horse coat color. RESULTS Genes encoding ribosomal-associated proteins were highly expressed in horse skin. We found a total of 231 unigenes that were differentially expressed between horses with white coats and horses with black coats; 119 were down-regulated, and 112 were up-regulated. Many of the up-regulated genes in black horses, such as genes related to tyrosine metabolism, may directly regulate dark coat color. Keratin genes, MIA family genes, fatty acid-related genes, and melanoma-associated genes were also differentially regulated, which suggests that they may play important roles in coat color formation. CONCLUSIONS These findings show that the transcription profiles from white and black horse skin provide useful information to understand the genetics underlying the control of skin melanin synthesis in horses, which may enhance our knowledge of human skin diseases, such as melanoma and albinism.
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Affiliation(s)
- Bei Li
- College of Animal Science, Inner Mongolia Agricultural University, Huhhot, 010018 People’s Republic of China
| | - Xiaolong He
- Inner Mongolia Academy of Agricultural and Animal Husbandry Sciences, Huhhot, 010031 People’s Republic of China
| | - Yiping Zhao
- College of Animal Science, Inner Mongolia Agricultural University, Huhhot, 010018 People’s Republic of China
| | - Dongyi Bai
- College of Animal Science, Inner Mongolia Agricultural University, Huhhot, 010018 People’s Republic of China
| | - Wunierfu Shiraigo
- College of Animal Science, Inner Mongolia Agricultural University, Huhhot, 010018 People’s Republic of China
| | - Qinan Zhao
- College of Animal Science, Inner Mongolia Agricultural University, Huhhot, 010018 People’s Republic of China
| | - Dugarjaviin Manglai
- College of Animal Science, Inner Mongolia Agricultural University, Huhhot, 010018 People’s Republic of China
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14
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Ainger SA, Yong XLH, Soyer HP, Sturm RA. Testing of viable human skin cell dilution cultures as an approach to validating microsampling. Arch Dermatol Res 2017; 309:305-310. [PMID: 28255674 DOI: 10.1007/s00403-017-1726-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2016] [Revised: 02/06/2017] [Accepted: 02/14/2017] [Indexed: 11/28/2022]
Abstract
Skin biopsies are a valuable technique in the diagnosis of cutaneous inflammatory and neoplastic conditions. We were interested to test the minimal size or equivalent volume by dilution of proteolytically disassociated skin tissue required to allow the isolation and propagation of cutaneous cells, for freezing, storage and biochemical analysis. It was possible to propagate with 100% efficiency fibroblast and melanocytic cells from a 0.1 to 0.5 mm3 equivalent neonatal foreskin sample using a combination of DispaseII and CollagenaseIV. The smallest tissue dilution that allowed melanocytic cell culture was 0.01 mm3, which equated to approximately 16 cells based on the average skin density of melanocytes. However, passaging of cells to create frozen stocks was achieved routinely only from 1 mm3 skin, equating to 1560 cells. Tissue-specific antigen expression of these cultures was tested by western blot of total protein extracts. There was no pigmentation antigen expression in fibroblast cultures; however, smooth muscle actin protein expression was high in fibroblast but absent from melanocytic cell strains. Melanocytic cells expressed pigmentation antigens and E-cadherin, but these were not detected in fibroblasts. Moreover, maturation of these melanocytic cells resulted in a decrease of Dopachrome Tautomerase antigen expression and induction of Tyrosinase protein consistent with the differentiation potential seen in cell cultures derived routinely from large sections of skin tissue.
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Affiliation(s)
- Stephen A Ainger
- Dermatology Research Centre, School of Medicine, Level 5, Translational Research Institute (TRI), The University of Queensland, 37 Kent Street, Woolloongabba, Brisbane, QLD, 4102, Australia.
| | - X L Hilary Yong
- Dermatology Research Centre, School of Medicine, Level 5, Translational Research Institute (TRI), The University of Queensland, 37 Kent Street, Woolloongabba, Brisbane, QLD, 4102, Australia
| | - H Peter Soyer
- Dermatology Research Centre, School of Medicine, Level 5, Translational Research Institute (TRI), The University of Queensland, 37 Kent Street, Woolloongabba, Brisbane, QLD, 4102, Australia.,Department of Dermatology, Princess Alexandra Hospital, Brisbane, Australia
| | - Richard A Sturm
- Dermatology Research Centre, School of Medicine, Level 5, Translational Research Institute (TRI), The University of Queensland, 37 Kent Street, Woolloongabba, Brisbane, QLD, 4102, Australia
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15
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Abstract
Vitiligo is an acquired depigmenting disorder that affects 0.5% to 2% of the world population. Three different forms are classified according to the distribution of lesions; namely non-segmental, segmental and mixed vitiligo. Vitiligo is associated with polymorphisms in genes involved in the immune response and in melanogenesis. However, environmental factors are required for the development of manifest disease. In general, the diagnosis is clinical and no laboratory tests or biopsies are required. Metabolic alterations are central to current concepts in pathophysiology. They induce an increased generation of reactive oxygen species and susceptibility to mild exogenous stimuli in the epidermis. This produces a senescent phenotype of skin cells, leads to the release of innate immune molecules, which trigger autoimmunity, and ultimately causes dysfunction and death of melanocytes. Clinical management aims to halt depigmentation, and to either repigment or depigment the skin, depending on the extent of disease. New therapeutic approaches include stimulation of melanocyte differentiation and proliferation through α-melanocyte-stimulating hormone analogues and through epidermal stem cell engineering. Several questions remain unsolved, including the connection between melanocyte depletion and stem cell exhaustion, the underlying degenerative mechanisms and the biological mediators of cell death. Overall, vitiligo is an excellent model for studying degenerative and autoimmune processes and for testing novel approaches in regenerative medicine. For an illustrated summary of this Primer, visit: http://go.nature.com/vIhFSC.
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Affiliation(s)
- Mauro Picardo
- Cutaneous Physiopathology, San Gallicano Dermatologic Institute, IFO IRCCS, via Elio Chianesi 53, 00144 Rome, Italy
| | - Maria L Dell'Anna
- Cutaneous Physiopathology, San Gallicano Dermatologic Institute, IFO IRCCS, via Elio Chianesi 53, 00144 Rome, Italy
| | - Khaled Ezzedine
- Service de Dermatologie et Dermatologie Pédiatrique, Centre de référence pour les maladies rares de la peau, INSERM 1035, Université de Bordeaux, Bordeaux, France
| | - Iltefat Hamzavi
- Multicultural Dermatology Center, Department of Dermatology, Henry Ford Hospital Detroit, Michigan, USA
| | - John E Harris
- Division of Dermatology, Department of Medicine, University of Massachusetts Medical School, Worcester, USA
| | | | - Alain Taieb
- Service de Dermatologie et Dermatologie Pédiatrique, Centre de référence pour les maladies rares de la peau, INSERM 1035, Université de Bordeaux, Bordeaux, France
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