15 results on '"Chanjae Park"'
Search Results
2. Transcriptome analysis of PDGFRα+ cells identifies T-type Ca2+ channel CACNA1G as a new pathological marker for PDGFRα+ cell hyperplasia
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Lai Wei, Chanjae Park, Kenton M. Sanders, Se Eun Ha, Masaaki Kurahashi, Laren Becker, Brian G. Jorgensen, Paul J. Park, Seungil Ro, Kent C. Sasse, Doug Redelman, and Moon Young Lee
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0301 basic medicine ,Pathology ,Potassium Channels ,Receptor, Platelet-Derived Growth Factor alpha ,Physiology ,Cell ,Gene Expression ,lcsh:Medicine ,Cell Separation ,Biochemistry ,Ion Channels ,Histones ,Transcriptome ,Calcium Channels, T-Type ,Mice ,Medicine and Health Sciences ,Protein Isoforms ,lcsh:Science ,Musculoskeletal System ,Regulation of gene expression ,Smooth Muscles ,Syncytium ,Genome ,Multidisciplinary ,Muscles ,Physics ,Genomics ,3. Good health ,Cell biology ,Electrophysiology ,Jejunum ,medicine.anatomical_structure ,Physical Sciences ,symbols ,Anatomy ,Transcriptome Analysis ,Research Article ,Cell type ,medicine.medical_specialty ,Colon ,Biophysics ,Neurophysiology ,Biology ,Research and Analysis Methods ,03 medical and health sciences ,symbols.namesake ,DNA-binding proteins ,Genetics ,medicine ,Animals ,Humans ,RNA, Messenger ,Immunohistochemistry Techniques ,Cell Proliferation ,Hyperplasia ,Cell growth ,Gene Expression Profiling ,lcsh:R ,Biology and Life Sciences ,Computational Biology ,Proteins ,Muscle, Smooth ,Hypertrophy ,Cell Dedifferentiation ,Genome Analysis ,Interstitial cell of Cajal ,Histochemistry and Cytochemistry Techniques ,Gastrointestinal Tract ,Gene expression profiling ,030104 developmental biology ,Gene Expression Regulation ,Immunologic Techniques ,lcsh:Q ,Digestive System ,Neuroscience - Abstract
Platelet-derived growth factor receptor alpha (PDGFRα)+ cells are distributed into distinct morphological groups within the serosal, muscular, and submucosal layers as well as the myenteric and deep muscular plexi. PDGFRα+ cells directly interact with interstitial cells of Cajal (ICC) and smooth muscle cells (SMC) in gastrointestinal smooth muscle tissue. These three cell types, SMC, ICC, and PDGFRα+ cells (SIP cells), form an electrical syncytium, which dynamically regulates gastrointestinal motility. We have previously reported the transcriptomes of SMC and ICC. To complete the SIP cell transcriptome project, we obtained transcriptome data from jejunal and colonic PDGFRα+ cells. The PDGFRα+ cell transcriptome data were added to the Smooth Muscle Genome Browser that we previously built for the genome-scale gene expression data of ICC and SMC. This browser provides a comprehensive reference for all transcripts expressed in SIP cells. By analyzing the transcriptomes, we have identified a unique set of PDGFRα+ cell signature genes, growth factors, transcription factors, epigenetic enzymes/regulators, receptors, protein kinases/phosphatases, and ion channels/transporters. We demonstrated that the low voltage-dependent T-type Ca2+ channel Cacna1g gene was particularly expressed in PDGFRα+ cells in the intestinal serosal layer in mice. Expression of this gene was significantly induced in the hyperplasic PDGFRα+ cells of obstructed small intestine in mice. This gene was also over-expressed in colorectal cancer, Crohn's disease, and diverticulitis in human patients. Taken together, our data suggest that Cacna1g exclusively expressed in serosal PDGFRα+ cells is a new pathological marker for gastrointestinal diseases.
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- 2017
3. Transcriptome of interstitial cells of Cajal reveals unique and selective gene signatures
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Robert Fuchs, Chanjae Park, Paul J. Park, Kenton M. Sanders, Lai Wei, Se Eun Ha, Moon Young Lee, Brian G. Jorgensen, Seungil Ro, Doug Redelman, and Sean M. Ward
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0301 basic medicine ,Physiology ,lcsh:Medicine ,Gene Expression ,Genome browser ,Biochemistry ,Ion Channels ,Transcriptome ,Mice ,Database and Informatics Methods ,0302 clinical medicine ,Gene expression ,Medicine and Health Sciences ,Biomarker discovery ,lcsh:Science ,Multidisciplinary ,Mammalian Genomics ,Physics ,Genomics ,Flow Cytometry ,Genomic Databases ,Electrophysiology ,Jejunum ,Physical Sciences ,symbols ,Anatomy ,Transcriptome Analysis ,Sequence Analysis ,Research Article ,Colon ,Bioinformatics ,Biophysics ,Neurophysiology ,Computational biology ,Biology ,Research and Analysis Methods ,03 medical and health sciences ,symbols.namesake ,Genetics ,Animals ,Epigenetics ,Amino Acid Sequence ,Transcription factor ,Gene ,Sequence Homology, Amino Acid ,lcsh:R ,Biology and Life Sciences ,Computational Biology ,Proteins ,Interstitial Cells of Cajal ,Genome Analysis ,Interstitial cell of Cajal ,Gastrointestinal Tract ,030104 developmental biology ,Biological Databases ,Animal Genomics ,lcsh:Q ,Digestive System ,Sequence Alignment ,030217 neurology & neurosurgery ,Neuroscience - Abstract
Transcriptome-scale data can reveal essential clues into understanding the underlying molecular mechanisms behind specific cellular functions and biological processes. Transcriptomics is a continually growing field of research utilized in biomarker discovery. The transcriptomic profile of interstitial cells of Cajal (ICC), which serve as slow-wave electrical pacemakers for gastrointestinal (GI) smooth muscle, has yet to be uncovered. Using copGFP-labeled ICC mice and flow cytometry, we isolated ICC populations from the murine small intestine and colon and obtained their transcriptomes. In analyzing the transcriptome, we identified a unique set of ICC-restricted markers including transcription factors, epigenetic enzymes/regulators, growth factors, receptors, protein kinases/phosphatases, and ion channels/transporters. This analysis provides new and unique insights into the cellular and biological functions of ICC in GI physiology. Additionally, we constructed an interactive ICC genome browser (http://med.unr.edu/physio/transcriptome) based on the UCSC genome database. To our knowledge, this is the first online resource that provides a comprehensive library of all known genetic transcripts expressed in primary ICC. Our genome browser offers a new perspective into the alternative expression of genes in ICC and provides a valuable reference for future functional studies.
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- 2016
4. Many X-linked microRNAs escape meiotic sex chromosome inactivation
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Seungil Ro, Rui Song, John R. McCarrey, Wei Yan, Jason D. Michaels, and Chanjae Park
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Male ,X Chromosome ,Biology ,Y chromosome ,Article ,X-inactivation ,Mice ,RNA interference ,Prophase ,Meiosis ,Spermatocytes ,X Chromosome Inactivation ,Y Chromosome ,Genetics ,Animals ,Humans ,Gene silencing ,Gene Silencing ,X chromosome ,Chromosomes, Human, X ,Chromosomes, Human, Y ,sex chromosomes ,spermatogenesis ,X inactivation ,MicroRNAs ,Female ,Spermatogenesis - Abstract
Meiotic sex chromosome inactivation (MSCI) during spermatogenesis is characterized by transcriptional silencing of genes on both the X and Y chromosomes in mid to late pachytene spermatocytes1. MSCI is believed to result from meiotic silencing of unpaired DNA because the X and Y chromosomes remain largely unpaired throughout first meiotic prophase2. However, unlike X-chromosome inactivation in female embryonic cells, where 25–30% of X-linked structural genes have been reported to escape inactivation3, previous microarray4- and RT-PCR5-based studies of expression of >364 X-linked mRNA-encoding genes during spermatogenesis have failed to reveal any X-linked gene that escapes the silencing effects of MSCI in primary spermatocytes. Here we show that many X-linked miRNAs are transcribed and processed in pachytene spermatocytes. This unprecedented escape from MSCI by these X-linked miRNAs suggests that they may participate in a critical function at this stage of spermatogenesis, including the possibility that they contribute to the process of MSCI itself, and/or that they may be essential for post-transcriptional regulation of autosomal mRNAs during the late meiotic and early postmeiotic stages of spermatogenesis.
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- 2009
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5. Birth of Mice after Intracytoplasmic Injection of Single Purified Sperm Nuclei and Detection of Messenger RNAs and MicroRNAs in the Sperm Nuclei1
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Kazuto Morozumi, Seungil Ro, Wei Yan, Jie Zhang, Chanjae Park, and Ryuzo Yanagimachi
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Genetics ,endocrine system ,In vitro fertilisation ,urogenital system ,medicine.medical_treatment ,Embryo ,Cell Biology ,General Medicine ,Biology ,Oocyte ,Sperm ,Intracytoplasmic sperm injection ,Cell biology ,medicine.anatomical_structure ,Reproductive Medicine ,Perinuclear theca ,medicine ,Acrosome ,Sperm-Ovum Interactions - Abstract
We have developed a method that effectively removes all of the perinuclear materials of a mouse sperm head, including the acrosome, plasma membrane, perinuclear theca, and nuclear envelope. By injection of a single purified sperm head into a metaphase II mouse oocyte followed by activation with strontium chloride, 93% of the zygotes developed into two-cell embryos. Although only approximately 17% of the transferred two-cell embryos were born alive, all live pups developed into adults, and they appeared to be normal in reproduction and behavior. We detected RNA species, including mRNAs and miRNAs from the purified sperm heads. Our data demonstrate that pure membrane-free sperm heads are sufficient to produce normal offspring through intracytoplasmic sperm injection and that at least part of the RNA molecules are deeply embedded in the sperm nucleus.
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- 2008
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6. Tissue-dependent paired expression of miRNAs
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Wei Yan, Kenton M. Sanders, David L. Young, Seungil Ro, and Chanjae Park
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Genetics ,Models, Genetic ,Sequence Analysis, RNA ,Sequence analysis ,Gene Expression Profiling ,Gene Dosage ,Nuclease Protection Assays ,RNA ,Nuclease protection assay ,Biology ,Polymerase Chain Reaction ,Gene dosage ,Cell biology ,Gene expression profiling ,Mice ,MicroRNAs ,microRNA ,Animals ,Humans ,Gene silencing ,Gene Silencing ,Gene - Abstract
It is believed that depending on the thermodynamic stability of the 5′-strand and the 3′-strand in the stem-loop structure of a precursor microRNA (pre-miRNA), cells preferentially select the less stable one (called the miRNA or guide strand) and destroy the other one (called the miRNA* or passenger strand). However, our expression profiling analyses revealed that both strands could be co-accumulated as miRNA pairs in some tissues while being subjected to strand selection in other tissues. Our target prediction and validation assays demonstrated that both strands of a miRNA pair could target equal numbers of genes and that both were able to suppress the expression of their target genes. Our finding not only suggests that the numbers of miRNAs and their targets are much greater than what we previously thought, but also implies that novel mechanisms are involved in the tissue-dependent miRNA biogenesis and target selection process.
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- 2007
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7. A PCR-based method for detection and quantification of small RNAs
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Chanjae Park, Wei Yan, Seungil Ro, Kenton M. Sanders, and Jingling Jin
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Small RNA ,Molecular Sequence Data ,Biophysics ,Computational biology ,Biology ,Polymerase Chain Reaction ,Biochemistry ,Article ,law.invention ,Mice ,law ,microRNA ,Animals ,Tissue Distribution ,Base sequence ,Tissue distribution ,Small nucleolar RNA ,Molecular Biology ,Polymerase chain reaction ,Cloning ,Genetics ,Base Sequence ,urogenital system ,Gene Expression Profiling ,Cell Biology ,Gene expression profiling ,MicroRNAs ,Organ Specificity - Abstract
Recent cloning efforts have identified hundreds of thousands of small RNAs including micro RNAs (miRNAs), Piwi-interacting RNAs (piRNAs), and small nucleolar RNAs (snoRNAs). These non-coding small RNAs need to be further validated and characterized by detecting and quantifying their expression in different tissues and during different developmental courses. A simple, accurate, and sensitive method for small RNA expression profiling is in high demand. Here, we report such a PCR-based method.
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- 2006
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8. Genome‐wide discovery of gene isoforms expressed in primary smooth muscle cells
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Kenton M. Sanders, Seungil Ro, Nicholas Collins, Paul J. Park, Hannah Syn, Chanjae Park, Albert Chin, and Robyn M. Berent
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Gene isoform ,Primary (chemistry) ,Smooth muscle ,Genetics ,Biology ,Molecular Biology ,Biochemistry ,Gene ,Genome ,Biotechnology ,Cell biology - Published
- 2013
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9. The mitochondrial genome encodes abundant small noncoding RNAs
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Seungil Ro, Chanjae Park, Huili Zheng, Wei Yan, Nicole Ortogero, Hsiu Yen Ma, Yung Ming Lin, Jer Tsong Hsieh, Loredana Moro, Grant W. Hennig, and Rui Song
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Cell Nucleus ,Ribonuclease III ,Genetics ,Mitochondrial DNA ,Nuclear gene ,Chromosome Mapping ,Correction ,Cell Biology ,Mitochondrion ,Biology ,MT-RNR1 ,Genome ,Long non-coding RNA ,Mitochondria ,DEAD-box RNA Helicases ,Mice ,Genome, Mitochondrial ,Animals ,Humans ,RNA, Small Untranslated ,Original Article ,Small nucleolar RNA ,Molecular Biology ,Gene - Abstract
Small noncoding RNAs identified thus far are all encoded by the nuclear genome. Here, we report that the murine and human mitochondrial genomes encode thousands of small noncoding RNAs, which are predominantly derived from the sense transcripts of the mitochondrial genes (host genes), and we termed these small RNAs mitochondrial genome-encoded small RNAs (mitosRNAs). DICER inactivation affected, but did not completely abolish mitosRNA production. MitosRNAs appear to be products of currently unidentified mitochondrial ribonucleases. Overexpression of mitosRNAs enhanced expression levels of their host genes in vitro, and dysregulated mitosRNA expression was generally associated with aberrant mitochondrial gene expression in vivo. Our data demonstrate that in addition to 37 known mitochondrial genes, the mammalian mitochondrial genome also encodes abundant mitosRNAs, which may play an important regulatory role in the control of mitochondrial gene expression in the cell.
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- 2013
10. Serum response factor regulates smooth muscle contractility via myotonic dystrophy protein kinases and L-type calcium channels
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Brian G. Jorgensen, Joseph M. Miano, Chanjae Park, Nathan Grainger, Moon Young Lee, Terence K. Smith, Robyn M. Berent, Kenton M. Sanders, Peter J. Blair, Paul J. Park, Robert D. Corrigan, Se Eun Ha, Sean M. Ward, Orazio J. Slivano, and Seungil Ro
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Male ,Proteomics ,0301 basic medicine ,Serum Response Factor ,Muscle Physiology ,genetic structures ,Physiology ,Gene Expression ,lcsh:Medicine ,Polymerase Chain Reaction ,Biochemistry ,Ion Channels ,Mice ,Database and Informatics Methods ,0302 clinical medicine ,Medicine and Health Sciences ,lcsh:Science ,Musculoskeletal System ,Mice, Knockout ,Smooth Muscles ,Microscopy, Confocal ,Mammalian Genomics ,Multidisciplinary ,Voltage-dependent calcium channel ,Muscles ,Physics ,Myotonin-protein kinase ,Genomics ,Smooth muscle contraction ,musculoskeletal system ,Electrophysiology ,Jejunum ,Physical Sciences ,cardiovascular system ,Female ,Anatomy ,medicine.symptom ,Sequence Analysis ,tissues ,Muscle Contraction ,Research Article ,Muscle contraction ,medicine.medical_specialty ,Calcium Channels, L-Type ,Colon ,Bioinformatics ,Blotting, Western ,Biophysics ,Neurophysiology ,Biology ,Research and Analysis Methods ,Myotonic dystrophy ,Myotonin-Protein Kinase ,Contractility ,03 medical and health sciences ,Sequence Motif Analysis ,Internal medicine ,Serum response factor ,Genetics ,medicine ,Animals ,L-type calcium channel ,lcsh:R ,Biology and Life Sciences ,Proteins ,Muscle, Smooth ,medicine.disease ,Gastrointestinal Tract ,Tamoxifen ,030104 developmental biology ,Endocrinology ,Animal Genomics ,lcsh:Q ,Calcium Channels ,sense organs ,Digestive System ,030217 neurology & neurosurgery ,Neuroscience - Abstract
Serum response factor (SRF) transcriptionally regulates expression of contractile genes in smooth muscle cells (SMC). Lack or decrease of SRF is directly linked to a phenotypic change of SMC, leading to hypomotility of smooth muscle in the gastrointestinal (GI) tract. However, the molecular mechanism behind SRF-induced hypomotility in GI smooth muscle is largely unknown. We describe here how SRF plays a functional role in the regulation of the SMC contractility via myotonic dystrophy protein kinase (DMPK) and L-type calcium channel CACNA1C. GI SMC expressed Dmpk and Cacna1c genes into multiple alternative transcriptional isoforms. Deficiency of SRF in SMC of Srf knockout (KO) mice led to reduction of SRF-dependent DMPK, which down-regulated the expression of CACNA1C. Reduction of CACNA1C in KO SMC not only decreased intracellular Ca2+ spikes but also disrupted their coupling between cells resulting in decreased contractility. The role of SRF in the regulation of SMC phenotype and function provides new insight into how SMC lose their contractility leading to hypomotility in pathophysiological conditions within the GI tract.
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- 2017
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11. Serum response factor-dependent MicroRNAs regulate gastrointestinal smooth muscle cell phenotypes
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Joseph M. Miano, Chanjae Park, Grant W. Hennig, Seungil Ro, Jong Kun Park, Jonathan H. Cho, Kenton M. Sanders, Doug Redelman, Sean M. Ward, William J. Hatton, and Wei Yan
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Serum Response Factor ,Genotype ,Green Fluorescent Proteins ,Myocytes, Smooth Muscle ,Mice, Transgenic ,Biology ,Polymerase Chain Reaction ,Article ,Transcriptome ,Mice ,microRNA ,Serum response factor ,Animals ,Humans ,Promoter Regions, Genetic ,Transcription factor ,Cells, Cultured ,Cell Proliferation ,Oligonucleotide Array Sequence Analysis ,ets-Domain Protein Elk-1 ,Regulation of gene expression ,Gene knockdown ,Binding Sites ,Hepatology ,Integrases ,Myosin Heavy Chains ,Gene Expression Profiling ,Gastroenterology ,Computational Biology ,Nuclear Proteins ,Cell Differentiation ,musculoskeletal system ,Phenotype ,Molecular biology ,Gene expression profiling ,Gastrointestinal Tract ,Mice, Inbred C57BL ,MicroRNAs ,Enhancer Elements, Genetic ,Gene Expression Regulation ,cardiovascular system ,Trans-Activators ,RNA Interference ,tissues - Abstract
Background & Aims Smooth muscle cells (SMCs) change phenotypes under various pathophysiological conditions. These changes are largely controlled by the serum response factor (SRF), a transcription factor that binds to CC (A/T) 6 GG (CArG) boxes in SM contractile genes. MicroRNAs (miRNA) regulate transitions among SMC phenotypes. The SMC miRNA transcriptome (SMC miRNAome) and its regulation by SRF have not been determined. Methods We performed massively parallel sequencing to identify gastrointestinal (GI) SMC miRNA transcriptomes in mice and humans. SMC miRNA transcriptomes were mapped to identify all CArG boxes, which were confirmed by SRF knockdown and microarrays. Quantitative polymerase chain reaction was used to identify SMC-phenotypic miRNAs in differentiated and proliferating SMCs. Bioinformatics and target validation analysis showed regulation of SMC phenotype by SRF-dependent, SMC-phenotype miRNAs. Results We cloned and identified GI miRNA transcriptomes using genome-wide analyses of mouse and human cells. The SM miRNAome consisted of hundreds of unique miRNAs that were highly conserved among both species. We mapped miRNAs CArG boxes and found that many had an SRF-dependent signature in the SM miRNAome. The SM miRNAs CArG boxes had several distinct features. We also identified approximately 100 SMC-phenotypic miRNAs that were induced in differentiated or proliferative SMC phenotypes. We showed that SRF-dependent, SMC-phenotypic miRNAs bind and regulate Srf and its cofactors, myocadin ( Myocd ) and member of ETS oncogene family Elk1 . Conclusions The GI SMC phenotypes are controlled by SRF-dependent, SMC-phenotypic miRNAs that regulate expression of SRF, MYOCD, and ELK1.
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- 2010
12. A Model to Study the Phenotypic Changes of Interstitial Cells of Cajal in Gastrointestinal Diseases
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Wei Yan, Chanjae Park, Sean M. Ward, Peter J. Blair, Doug Redelman, Huili Zheng, Kenton M. Sanders, Jingling Jin, and Seungil Ro
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Male ,Pathology ,medicine.medical_specialty ,Gastrointestinal Diseases ,Green Fluorescent Proteins ,Fluorescent Antibody Technique ,Stem cell factor ,Mice, Transgenic ,Cell Separation ,Biology ,Immunofluorescence ,Article ,Flow cytometry ,symbols.namesake ,Mice ,Gene knockin ,medicine ,Animals ,Intestinal Mucosa ,Receptor ,Cells, Cultured ,Crosses, Genetic ,Gastrointestinal tract ,Microscopy, Confocal ,Hepatology ,medicine.diagnostic_test ,Gastroenterology ,Flow Cytometry ,Interstitial Cells of Cajal ,Molecular biology ,Interstitial cell of Cajal ,Intestines ,Mice, Inbred C57BL ,Proto-Oncogene Proteins c-kit ,Phenotype ,Diabetes Mellitus, Type 2 ,symbols ,Female ,Tyrosine kinase ,Biomarkers - Abstract
Background & Aims Interstitial cells of Cajal (ICC) express the receptor tyrosine kinase, KIT, the receptor for stem cell factor. In the gastrointestinal (GI) tract, ICC are pacemaker cells that generate spontaneous electrical slow waves, and mediate inputs from motor neurons. Absence or loss of ICC are associated with GI motility disorders, including those consequent of diabetes. Studies of ICC have been hampered by the low density of these cells and difficulties in recognizing these cells in cell dispersions. Methods Kit +/copGFP mice harboring a copepod super green fluorescent protein ( copGFP ) complementary DNA, inserted at the Kit locus, were generated. copGFP + ICC from GI muscles were analyzed using confocal microscopy and flow cytometry. copGFP + ICC from the jejunum were purified by a fluorescence-activated cell sorter and validated by cell-specific markers. Kit +/copGFP mice were crossbred with diabetic Lep +/ob mice to generate compound Kit +/copGFP ;Lep ob/ob mutant mice. copGFP + ICC from compound transgenic mice were analyzed by confocal microscopy. Results copGFP in Kit +/copGFP mice colocalized with KIT immunofluorescence and thus was predominantly found in ICC. In other smooth muscles, mast cells were also labeled, but these cells were relatively rare in the murine GI tract. copGFP + cells from jejunal muscles were Kit + and free of contaminating cell-specific markers. Kit +/copGFP ; Lep ob/ob mice displayed ICC networks that were dramatically disrupted during the development of diabetes. Conclusions Kit +/copGFP mice offer a powerful new model to study the function and genetic regulation of ICC phenotypes. Isolation of ICC from animal models will help determine the causes and responses of ICC to therapeutic agents.
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- 2009
13. Sertoli cell Dicer is essential for spermatogenesis in mice
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Marilena D. Papaioannou, Wei Yan, Bernard Jégou, Françoise Kühne, Jean-Luc Pitetti, Evgeny M. Zdobnov, Michael T. McManus, Olivier Schaad, Florence Aubry, Serge Nef, Patrick Descombes, Seungil Ro, Brian D. Harfe, Florian Guillou, Chanjae Park, Charles E. Vejnar, Department of Genetic Medicine and Development [Geneva], Université de Genève (UNIGE), Department of Physiology and Cell Biology, School of Medicine [Reno], University of Nevada [Reno]-University of Nevada [Reno], Groupe d'Etude de la Reproduction Chez l'Homme et les Mammiferes (GERHM), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES), Genomics Platform, University of Geneva [Switzerland]-National Center of Competence in Research ‘Frontiers in Genetics', Department of Microbiology and Immunology Diabetes Center, University of California [San Francisco] (UCSF), University of California-University of California, Physiologie de la reproduction et des comportements [Nouzilly] (PRC), Institut National de la Recherche Agronomique (INRA)-Institut Français du Cheval et de l'Equitation [Saumur]-Université de Tours (UT)-Centre National de la Recherche Scientifique (CNRS), Department of Molecular Genetics and Microbiology [Gainesville] (UF|MGM), Department of Medicine [Gainesville] (UF|Medicine), University of Florida [Gainesville] (UF)-University of Florida [Gainesville] (UF), Forgeron, Christine, Université de Genève = University of Geneva (UNIGE), Université de Rennes (UR)-Institut National de la Santé et de la Recherche Médicale (INSERM), Université de Genève = University of Geneva (UNIGE)-National Center of Competence in Research ‘Frontiers in Genetics', University of California [San Francisco] (UC San Francisco), University of California (UC)-University of California (UC), Institut National de la Recherche Agronomique (INRA)-Institut Français du Cheval et de l'Equitation [Saumur] (IFCE)-Université de Tours (UT)-Centre National de la Recherche Scientifique (CNRS), Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National de la Santé et de la Recherche Médicale (INSERM), Institut National de la Recherche Agronomique (INRA)-Institut Français du Cheval et de l'Equitation [Saumur]-Université de Tours-Centre National de la Recherche Scientifique (CNRS), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-IFR140-Institut National de la Santé et de la Recherche Médicale (INSERM), Centre National de la Recherche Scientifique (CNRS)-Université de Tours-Institut Français du Cheval et de l'Equitation [Saumur]-Institut National de la Recherche Agronomique (INRA), Department of Molecular Genetics and Microbiology, and University of Florida [Gainesville]
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Ribonuclease III ,Male ,Small interfering RNA ,Spermiogenesis ,MESH: Mice, Mutant Strains ,Testis/abnormalities/growth & development/metabolism ,Endoribonucleases/physiology ,MESH: Animals, Newborn ,MESH: Down-Regulation ,DEAD-box RNA Helicases ,Mice ,0302 clinical medicine ,Testis ,MESH: Animals ,ddc:576.5 ,0303 health sciences ,030219 obstetrics & reproductive medicine ,MESH: Testis ,Sertoli cell ,3. Good health ,Cell biology ,Meiosis ,medicine.anatomical_structure ,Spermatogenesis/physiology ,MESH: Spermatogenesis ,Meiosis/physiology ,MESH: Endoribonucleases ,endocrine system ,DEAD-box RNA Helicases/physiology ,Down-Regulation ,Infertility, Male/genetics/metabolism ,Biology ,MESH: Infertility, Male ,Article ,03 medical and health sciences ,Downregulation and upregulation ,MESH: Sertoli Cells ,Down-Regulation/physiology ,microRNA ,Endoribonucleases ,Germ cells ,medicine ,MESH: DEAD-box RNA Helicases ,Animals ,MicroRNAs/metabolism ,Spermatogenesis ,Molecular Biology ,MESH: Mice ,[SDV.BDLR] Life Sciences [q-bio]/Reproductive Biology ,Infertility, Male ,030304 developmental biology ,Sertoli Cells ,urogenital system ,[SDV.BDLR]Life Sciences [q-bio]/Reproductive Biology ,Cell Biology ,MESH: Male ,Mice, Mutant Strains ,MicroRNAs ,MESH: Meiosis ,Animals, Newborn ,Immunology ,biology.protein ,MESH: MicroRNAs ,Sertoli Cells/metabolism ,Dicer ,Developmental Biology - Abstract
International audience; Spermatogenesis requires intact, fully competent Sertoli cells. Here, we investigate the functions of Dicer, an RNaseIII endonuclease required for microRNA and small interfering RNA biogenesis, in mouse Sertoli cell function. We show that selective ablation of Dicer in Sertoli cells leads to infertility due to complete absence of spermatozoa and progressive testicular degeneration. The first morphological alterations appear already at postnatal day 5 and correlate with a severe impairment of the prepubertal spermatogenic wave, due to defective Sertoli cell maturation and incapacity to properly support meiosis and spermiogenesis. Importantly, we find several key genes known to be essential for Sertoli cell function to be significantly down-regulated in neonatal testes lacking Dicer in Sertoli cells. Overall, our results reveal novel essential roles played by the Dicer-dependent pathway in mammalian reproductive function, and thus pave the way for new insights into human infertility.
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- 2009
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14. Cloning and expression profiling of small RNAs expressed in the mouse ovary
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Chanjae Park, Kenton M. Sanders, Seungil Ro, Huili Zheng, Rui Song, and Wei Yan
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Small RNA ,endocrine system ,Piwi-interacting RNA ,Gene Expression ,Biology ,Polymerase Chain Reaction ,Article ,Mice ,Oogenesis ,Ovarian Follicle ,microRNA ,Animals ,Small nucleolar RNA ,Cloning, Molecular ,Molecular Biology ,Gene ,Genetics ,Regulation of gene expression ,urogenital system ,Gene Expression Profiling ,Ovary ,RNA ,Long non-coding RNA ,MicroRNAs ,Female - Abstract
Small noncoding RNAs have been suggested to play important roles in the regulation of gene expression across all species from plants to humans. To identify small RNAs expressed by the ovary, we generated mouse ovarian small RNA complementary DNA (srcDNA) libraries and sequenced 800 srcDNA clones. We identified 236 small RNAs including 122 microRNAs (miRNAs), 79 piwi-interacting RNAs (piRNAs), and 35 small nucleolar RNAs (snoRNAs). Among these small RNAs, 15 miRNAs, 74 piRNAs, and 21 snoRNAs are novel. Approximately 70% of the ovarian piRNAs are encoded by multicopy genes located within the repetitive regions, resembling previously identified repeat-associated small interference RNAs (rasiRNAs), whereas the remaining ∼30% of piRNA genes are located in nonrepetitive regions of the genome with characteristics similar to the majority of piRNAs originally cloned from the testis. Since these two types of piRNAs display different structural features, we categorized them into two classes: repeat-associated piRNAs (rapiRNAs, equivalent of the rasiRNAs) and non-repeat-associated piRNAs (napiRNAs). Expression profiling analyses revealed that ovarian miRNAs were either ubiquitously expressed in multiple tissues or preferentially expressed in a few tissues including the ovary. Ovaries appear to express more rapiRNAs than napiRNAs, and sequence analyses support that both may be generated through the “ping-pong” mechanism. Unique expression and structural features of these ovarian small noncoding RNAs suggest that they may play important roles in the control of folliculogenesis and female fertility.
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- 2007
15. MicroRNAs Dynamically Remodel Gastrointestinal Smooth Muscle Cells
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Jong Kun Park, Kenton M. Sanders, William J. Hatton, Seungil Ro, Sean M. Ward, Chanjae Park, Wei Yan, Sung Jin Hwang, and Qiuxia Wu
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Valvular Disease ,lcsh:Medicine ,Cardiovascular ,Mice ,RNA interference ,0302 clinical medicine ,Molecular Cell Biology ,Gene expression ,lcsh:Science ,Regulation of gene expression ,0303 health sciences ,Multidisciplinary ,biology ,Gastrointestinal Motility Disorders ,Gene targeting ,Cell Differentiation ,musculoskeletal system ,Phenotype ,Cell biology ,030220 oncology & carcinogenesis ,cardiovascular system ,Medicine ,Small Intestine ,Pediatric Gastroenterology ,tissues ,Research Article ,Colon ,Transgene ,Motility ,Mice, Transgenic ,Gastroenterology and Hepatology ,Anal and Rectal Disorders ,Cell Growth ,03 medical and health sciences ,Serum response factor ,Genetics ,Animals ,Hirschsprung Disease ,Biology ,030304 developmental biology ,lcsh:R ,Muscle, Smooth ,Molecular biology ,Gastrointestinal Tract ,Mice, Inbred C57BL ,MicroRNAs ,biology.protein ,lcsh:Q ,Developmental Biology ,Dicer - Abstract
Smooth muscle cells (SMCs) express a unique set of microRNAs (miRNAs) which regulate and maintain the differentiation state of SMCs. The goal of this study was to investigate the role of miRNAs during the development of gastrointestinal (GI) SMCs in a transgenic animal model. We generated SMC-specific Dicer null animals that express the reporter, green fluorescence protein, in a SMC-specific manner. SMC-specific knockout of Dicer prevented SMC miRNA biogenesis, causing dramatic changes in phenotype, function, and global gene expression in SMCs: the mutant mice developed severe dilation of the intestinal tract associated with the thinning and destruction of the smooth muscle (SM) layers; contractile motility in the mutant intestine was dramatically decreased; and SM contractile genes and transcriptional regulators were extensively down-regulated in the mutant SMCs. Profiling and bioinformatic analyses showed that SMC phenotype is regulated by a complex network of positive and negative feedback by SMC miRNAs, serum response factor (SRF), and other transcriptional factors. Taken together, our data suggest that SMC miRNAs are required for the development and survival of SMCs in the GI tract.
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- 2011
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