Association of the Developing Acrosome with Multiple Small Golgi
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Ovulation-Selective Genes: the Generation and Characterization of an Ovulatory-Selective Cdna Library
531 Ovulation-selective genes: the generation and characterization of an ovulatory-selective cDNA library A Hourvitz1,2*, E Gershon2*, J D Hennebold1, S Elizur2, E Maman2, C Brendle1, E Y Adashi1 and N Dekel2 1Division of Reproductive Sciences, Department of Obstetrics and Gynecology, University of Utah Health Sciences Center, Salt Lake City, Utah 84132, USA 2Department of Biological Regulation, Weizmann Institute of Science, Rehovot, Israel (Requests for offprints should be addressed to N Dekel; Email: [email protected]) *(A Hourvitz and E Gershon contributed equally to this paper) (J D Hennebold is now at Division of Reproductive Sciences, Oregon National Primate Research Center, Oregon Health and Science University, Beaverton, Oregon 97006, USA) Abstract Ovulation-selective/specific genes, that is, genes prefer- (FAE-1) homolog, found to be localized to the inner entially or exclusively expressed during the ovulatory periantral granulosa and to the cumulus granulosa cells of process, have been the subject of growing interest. We antral follicles. The FAE-1 gene is a -ketoacyl-CoA report herein studies on the use of suppression subtractive synthase belonging to the fatty acid elongase (ELO) hybridization (SSH) to construct a ‘forward’ ovulation- family, which catalyzes the initial step of very long-chain selective/specific cDNA library. In toto, 485 clones were fatty acid synthesis. All in all, the present study accom- sequenced and analyzed for homology to known genes plished systematic identification of those hormonally with the basic local alignment tool (BLAST). Of those, regulated genes that are expressed in the ovary in an 252 were determined to be nonredundant. -
18S Rrna Is a Reliable Normalisation Gene for Real Time PCR Based On
Kuchipudi et al. Virology Journal 2012, 9:230 http://www.virologyj.com/content/9/1/230 METHODOLOGY Open Access 18S rRNA is a reliable normalisation gene for real time PCR based on influenza virus infected cells Suresh V Kuchipudi1*, Meenu Tellabati1, Rahul K Nelli1, Gavin A White2, Belinda Baquero Perez1, Sujith Sebastian1, Marek J Slomka3, Sharon M Brookes3, Ian H Brown3, Stephen P Dunham1 and Kin-Chow Chang1 Abstract Background: One requisite of quantitative reverse transcription PCR (qRT-PCR) is to normalise the data with an internal reference gene that is invariant regardless of treatment, such as virus infection. Several studies have found variability in the expression of commonly used housekeeping genes, such as beta-actin (ACTB) and glyceraldehyde-3-phosphate dehydrogenase (GAPDH), under different experimental settings. However, ACTB and GAPDH remain widely used in the studies of host gene response to virus infections, including influenza viruses. To date no detailed study has been described that compares the suitability of commonly used housekeeping genes in influenza virus infections. The present study evaluated several commonly used housekeeping genes [ACTB, GAPDH, 18S ribosomal RNA (18S rRNA), ATP synthase, H+ transporting, mitochondrial F1 complex, beta polypeptide (ATP5B) and ATP synthase, H+ transporting, mitochondrial Fo complex, subunit C1 (subunit 9) (ATP5G1)] to identify the most stably expressed gene in human, pig, chicken and duck cells infected with a range of influenza A virus subtypes. Results: The relative expression stability of commonly used housekeeping genes were determined in primary human bronchial epithelial cells (HBECs), pig tracheal epithelial cells (PTECs), and chicken and duck primary lung-derived cells infected with five influenza A virus subtypes. -
RGS12 Is a Novel Tumor-Suppressor Gene in African American Prostate
Published OnlineFirst June 13, 2017; DOI: 10.1158/0008-5472.CAN-17-0669 Cancer Molecular and Cellular Pathobiology Research RGS12 Is a Novel Tumor-Suppressor Gene in African American Prostate Cancer That Represses AKT and MNX1 Expression Yongquan Wang1,2, Jianghua Wang2, Li Zhang2,3, Omer Faruk Karatas2, Longjiang Shao2, Yiqun Zhang4, Patricia Castro2, Chad J. Creighton4,5,and Michael Ittmann2 Abstract African American (AA) men exhibit a relatively high incidence epithelial cells. Notably, RGS12 exhibited potent tumor-suppres- and mortality due to prostate cancer even after adjustment for sor activity in prostate cancer and prostate epithelial cell lines in socioeconomic factors, but the biological basis for this disparity is vitro and in vivo. We found that RGS12 expression correlated unclear. Here, we identify a novel region on chromosome 4p16.3 negatively with the oncogene MNX1 and regulated its expression that is lost selectively in AA prostate cancer. The negative regulator in vitro and in vivo. Further, MNX1 was regulated by AKT activity, of G-protein signaling RGS12 was defined as the target of 4p16.3 and RGS12 expression decreased total and activated AKT levels. deletions, although it has not been implicated previously as a Our findings identify RGS12 as a candidate tumor-suppressor tumor-suppressor gene. RGS12 transcript levels were relatively gene in AA prostate cancer, which acts by decreasing expression of reduced in AA prostate cancer, and prostate cancer cell lines AKT and MNX1, establishing a novel oncogenic axis in this showed decreased RGS12 expression relative to benign prostate disparate disease setting. Cancer Res; 77(16); 1–11. -
Systematic Identification of Housekeeping Genes Possibly Used As References in Caenorhabditis Elegans by Large-Scale Data Integration
cells Article Systematic Identification of Housekeeping Genes Possibly Used as References in Caenorhabditis elegans by Large-Scale Data Integration 1, 1, 1 1 1 1 1 Jingxin Tao y, Youjin Hao y, Xudong Li , Huachun Yin , Xiner Nie , Jie Zhang , Boying Xu , Qiao Chen 2 and Bo Li 1,* 1 College of Life Sciences, Chongqing Normal University, Chongqing 401331, China; [email protected] (J.T.); [email protected] (Y.H.); [email protected] (X.L.); [email protected] (H.Y.); [email protected] (X.N.); [email protected] (J.Z.); [email protected] (B.X.) 2 Scientific Research Office, Chongqing Normal University, Chongqing 401331, China; [email protected] * Correspondence: [email protected]; Tel.: +86-23-6591-0315 These authors contributed equally to this work. y Received: 24 January 2020; Accepted: 11 March 2020; Published: 24 March 2020 Abstract: For accurate gene expression quantification, normalization of gene expression data against reliable reference genes is required. It is known that the expression levels of commonly used reference genes vary considerably under different experimental conditions, and therefore, their use for data normalization is limited. In this study, an unbiased identification of reference genes in Caenorhabditis elegans was performed based on 145 microarray datasets (2296 gene array samples) covering different developmental stages, different tissues, drug treatments, lifestyle, and various stresses. As a result, thirteen housekeeping genes (rps-23, rps-26, rps-27, rps-16, rps-2, rps-4, rps-17, rpl-24.1, rpl-27, rpl-33, rpl-36, rpl-35, and rpl-15) with enhanced stability were comprehensively identified by using six popular normalization algorithms and RankAggreg method. -
An Interactive Web Application to Explore Regeneration-Associated Gene Expression and Chromatin Accessibility
Supplementary Materials Regeneration Rosetta: An interactive web application to explore regeneration-associated gene expression and chromatin accessibility Andrea Rau, Sumona P. Dhara, Ava J. Udvadia, Paul L. Auer 1. Table S1. List of cholesterol metabolic genes from MGI database 2. Table S2. List of differentially expressed transcripts during optic nerve regeneration in zebrafish using the MGI cholesterol metabolic gene queries in the Regeneration Rosetta app 3. Table S3. List of transcription factor encoding genes from brain cell bodies following spinal cord injury in lamprey over a course of 12 weeKs 4. Table S4. List of transcription factor encoding genes from spinal cell bodies following spinal cord injury in lamprey over a course of 12 weeks Ensembl ID MGI Gene ID Symbol Name ENSMUSG00000015243 MGI:99607 Abca1 ATP-binding cassette, sub-family A (ABC1), member 1 ENSMUSG00000026944 MGI:99606 Abca2 ATP-binding cassette, sub-family A (ABC1), member 2 ENSMUSG00000024030 MGI:107704 Abcg1 ATP binding cassette subfamily G member 1 ENSMUSG00000026003 MGI:87866 Acadl acyl-Coenzyme A dehydrogenase, long-chain ENSMUSG00000018574 MGI:895149 Acadvl acyl-Coenzyme A dehydrogenase, very long chain ENSMUSG00000038641 MGI:2384785 Akr1d1 aldo-keto reductase family 1, member D1 ENSMUSG00000028553 MGI:1353627 Angptl3 angiopoietin-like 3 ENSMUSG00000031996 MGI:88047 Aplp2 amyloid beta (A4) precursor-like protein 2 ENSMUSG00000032083 MGI:88049 Apoa1 apolipoprotein A-I ENSMUSG00000005681 MGI:88050 Apoa2 apolipoprotein A-II ENSMUSG00000032080 MGI:88051 Apoa4 -
Analysis of the Stability of 70 Housekeeping Genes During Ips Reprogramming Yulia Panina1,2*, Arno Germond1 & Tomonobu M
www.nature.com/scientificreports OPEN Analysis of the stability of 70 housekeeping genes during iPS reprogramming Yulia Panina1,2*, Arno Germond1 & Tomonobu M. Watanabe1 Studies on induced pluripotent stem (iPS) cells highly rely on the investigation of their gene expression which requires normalization by housekeeping genes. Whether the housekeeping genes are stable during the iPS reprogramming, a transition of cell state known to be associated with profound changes, has been overlooked. In this study we analyzed the expression patterns of the most comprehensive list to date of housekeeping genes during iPS reprogramming of a mouse neural stem cell line N31. Our results show that housekeeping genes’ expression fuctuates signifcantly during the iPS reprogramming. Clustering analysis shows that ribosomal genes’ expression is rising, while the expression of cell-specifc genes, such as vimentin (Vim) or elastin (Eln), is decreasing. To ensure the robustness of the obtained data, we performed a correlative analysis of the genes. Overall, all 70 genes analyzed changed the expression more than two-fold during the reprogramming. The scale of this analysis, that takes into account 70 previously known and newly suggested genes, allowed us to choose the most stable of all genes. We highlight the fact of fuctuation of housekeeping genes during iPS reprogramming, and propose that, to ensure robustness of qPCR experiments in iPS cells, housekeeping genes should be used together in combination, and with a prior testing in a specifc line used in each study. We suggest that the longest splice variants of Rpl13a, Rplp1 and Rps18 can be used as a starting point for such initial testing as the most stable candidates. -
A Computational Approach for Defining a Signature of Β-Cell Golgi Stress in Diabetes Mellitus
Page 1 of 781 Diabetes A Computational Approach for Defining a Signature of β-Cell Golgi Stress in Diabetes Mellitus Robert N. Bone1,6,7, Olufunmilola Oyebamiji2, Sayali Talware2, Sharmila Selvaraj2, Preethi Krishnan3,6, Farooq Syed1,6,7, Huanmei Wu2, Carmella Evans-Molina 1,3,4,5,6,7,8* Departments of 1Pediatrics, 3Medicine, 4Anatomy, Cell Biology & Physiology, 5Biochemistry & Molecular Biology, the 6Center for Diabetes & Metabolic Diseases, and the 7Herman B. Wells Center for Pediatric Research, Indiana University School of Medicine, Indianapolis, IN 46202; 2Department of BioHealth Informatics, Indiana University-Purdue University Indianapolis, Indianapolis, IN, 46202; 8Roudebush VA Medical Center, Indianapolis, IN 46202. *Corresponding Author(s): Carmella Evans-Molina, MD, PhD ([email protected]) Indiana University School of Medicine, 635 Barnhill Drive, MS 2031A, Indianapolis, IN 46202, Telephone: (317) 274-4145, Fax (317) 274-4107 Running Title: Golgi Stress Response in Diabetes Word Count: 4358 Number of Figures: 6 Keywords: Golgi apparatus stress, Islets, β cell, Type 1 diabetes, Type 2 diabetes 1 Diabetes Publish Ahead of Print, published online August 20, 2020 Diabetes Page 2 of 781 ABSTRACT The Golgi apparatus (GA) is an important site of insulin processing and granule maturation, but whether GA organelle dysfunction and GA stress are present in the diabetic β-cell has not been tested. We utilized an informatics-based approach to develop a transcriptional signature of β-cell GA stress using existing RNA sequencing and microarray datasets generated using human islets from donors with diabetes and islets where type 1(T1D) and type 2 diabetes (T2D) had been modeled ex vivo. To narrow our results to GA-specific genes, we applied a filter set of 1,030 genes accepted as GA associated. -
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Food & Function View Article Online PAPER View Journal | View Issue Human milk oligosaccharides and non-digestible carbohydrates prevent adhesion of specific Cite this: Food Funct., 2021, 12, 8100 pathogens via modulating glycosylation or inflammatory genes in intestinal epithelial cells Chunli Kong, *a,b Martin Beukema, b Min Wang,c Bart J. de Haanb and Paul de Vosb Human milk oligosaccharides (hMOs) and non-digestible carbohydrates (NDCs) are known to inhibit the adhesion of pathogens to the gut epithelium, but the mechanisms involved are not well understood. Here, the effects of 2’-FL, 3-FL, DP3–DP10, DP10–DP60 and DP30–DP60 inulins and DM7, DM55 and DM69 pectins were studied on pathogen adhesion to Caco-2 cells. As the growth phase influences viru- lence, E. coli ET8, E. coli LMG5862, E. coli O119, E. coli WA321, and S. enterica subsp. enterica LMG07233 Creative Commons Attribution-NonCommercial 3.0 Unported Licence. from both log and stationary phases were tested. Specificity for enteric pathogens was tested by including the lung pathogen K. pneumoniae LMG20218. Expression of the cell membrane glycosylation genes of galectin and glycocalyx and inflammatory genes was studied in the presence and absence of 2’-FL or NDCs. Inhibition of pathogen adhesion was observed for 2’-FL, inulins, and pectins. Pre-incubation with 2’-FL downregulated ICAM1, and pectins modified the glycosylation genes. In contrast, K. pneumoniae LMG20218 downregulated the inflammatory genes, but these were restored by pre-incubation with Received 22nd March 2021, pectins, which reduced the adhesion of K. pneumoniae LMG20218. In addition, DM69 pectin significantly Accepted 21st June 2021 upregulated the inflammatory genes. -
Characterizing the Mechanisms of Kappa Opioid Receptor Signaling Within Mesolimbic Dopamine Circuitry Katie Reichard a Dissertat
Characterizing the mechanisms of kappa opioid receptor signaling within mesolimbic dopamine circuitry Katie Reichard A dissertation submitted in partial fulfillment of the degree requirements for the degree of: Doctor of Philosophy University of Washington 2020 Reading Committee: Charles Chavkin, Chair Paul Phillips Larry Zweifel Program Authorized to Confer Degree: Neuroscience Graduate Program TABLE OF CONTENTS Summary/Abstract………………………………………………………………………….……..6 Dedication……………………………………………………………………………….………...9 Chapter 1 The therapeutic potential of the targeting the kappa opioid receptor system in stress- associated mental health disorders……………………………….………………………………10 Section 1.1 Activation of the dynorphin/kappa opioid receptor system is associated with dysphoria, cognitive disruption, and increased preference for drugs of abuse…………………..13 Section 1.2 Contribution of the dyn/KOR system to substance use disorder, anxiety, and depression………………………………………………………………………………………..15 Section 1.3 KORs are expressed on dorsal raphe serotonin neurons and contribute to stress- induced plasticity with serotonin circuitry……………………………………………………….17 Section 1.4 Kappa opioid receptor expression in the VTA contributes to the behavioral response to stress……………………………………………………………………………………....…..19 Section 1.5 Other brain regions contributing to the KOR-mediated response to stress…………23 Section 1.6 G Protein signaling at the KOR …………………………………………………….25 Chapter 2: JNK-Receptor Inactivation Affects D2 Receptor through both agonist action and norBNI-mediated cross-inactivation -
Toxicogenomics Applications of New Functional Genomics Technologies in Toxicology
\-\w j Toxicogenomics Applications of new functional genomics technologies in toxicology Wilbert H.M. Heijne Proefschrift ter verkrijging vand egraa dva n doctor opgeza gva nd e rector magnificus vanWageninge n Universiteit, Prof.dr.ir. L. Speelman, in netopenbaa r te verdedigen op maandag6 decembe r200 4 des namiddagst e half twee ind eAul a - Table of contents Abstract Chapter I. page 1 General introduction [1] Chapter II page 21 Toxicogenomics of bromobenzene hepatotoxicity: a combined transcriptomics and proteomics approach[2] Chapter III page 48 Bromobenzene-induced hepatotoxicity atth etranscriptom e level PI Chapter IV page 67 Profiles of metabolites and gene expression in rats with chemically induced hepatic necrosis[4] Chapter V page 88 Liver gene expression profiles in relation to subacute toxicity in rats exposed to benzene[5] Chapter VI page 115 Toxicogenomics analysis of liver gene expression in relation to subacute toxicity in rats exposed totrichloroethylen e [6] Chapter VII page 135 Toxicogenomics analysis ofjoin t effects of benzene and trichloroethylene mixtures in rats m Chapter VII page 159 Discussion and conclusions References page 171 Appendices page 187 Samenvatting page 199 Dankwoord About the author Glossary Abbreviations List of genes Chapter I General introduction Parts of this introduction were publishedin : Molecular Biology in Medicinal Chemistry, Heijne etal., 2003 m NATO Advanced Research Workshop proceedings, Heijne eral., 2003 81 Chapter I 1. General introduction 1.1 Background /.1.1 Toxicologicalrisk -
Investigation of the Underlying Hub Genes and Molexular Pathogensis in Gastric Cancer by Integrated Bioinformatic Analyses
bioRxiv preprint doi: https://doi.org/10.1101/2020.12.20.423656; this version posted December 22, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. Investigation of the underlying hub genes and molexular pathogensis in gastric cancer by integrated bioinformatic analyses Basavaraj Vastrad1, Chanabasayya Vastrad*2 1. Department of Biochemistry, Basaveshwar College of Pharmacy, Gadag, Karnataka 582103, India. 2. Biostatistics and Bioinformatics, Chanabasava Nilaya, Bharthinagar, Dharwad 580001, Karanataka, India. * Chanabasayya Vastrad [email protected] Ph: +919480073398 Chanabasava Nilaya, Bharthinagar, Dharwad 580001 , Karanataka, India bioRxiv preprint doi: https://doi.org/10.1101/2020.12.20.423656; this version posted December 22, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. Abstract The high mortality rate of gastric cancer (GC) is in part due to the absence of initial disclosure of its biomarkers. The recognition of important genes associated in GC is therefore recommended to advance clinical prognosis, diagnosis and and treatment outcomes. The current investigation used the microarray dataset GSE113255 RNA seq data from the Gene Expression Omnibus database to diagnose differentially expressed genes (DEGs). Pathway and gene ontology enrichment analyses were performed, and a proteinprotein interaction network, modules, target genes - miRNA regulatory network and target genes - TF regulatory network were constructed and analyzed. Finally, validation of hub genes was performed. The 1008 DEGs identified consisted of 505 up regulated genes and 503 down regulated genes. -
Hyaluronan Synthase 3 Regulates Hyaluronan Synthesis in Cultured Human Keratinocytes
Hyaluronan Synthase 3 Regulates Hyaluronan Synthesis in Cultured Human Keratinocytes Tetsuya Sayo, Yoshinori Sugiyama, Yoshito Takahashi, Naoko Ozawa, Shingo Sakai, Osamu Ishikawa,* Masaaki Tamura,* and Shintaro Inoue Basic Research Laboratory, Kanebo Ltd, Kanagawa, Japan; *Department of Dermatology, Gunma University School of Medicine, Gunma, Japan Three human hyaluronan synthase genes (HAS1, growth factor b downregulated HAS3 transcript HAS2, and HAS3) have been cloned, but the func- levels. The expression of HAS1 mRNA was not sig- tional differences between these HAS genes remains ni®cantly affected by either cytokine, and HAS2 obscure. The purpose of this study was to examine mRNA expression was undetectable under either which of the HAS genes are selectively regulated in basal or cytokine-stimulated conditions by northern epidermis. We examined the relation of changes blot using total RNA. Furthermore, in situ mRNA between hyaluronan production and HAS gene hybridization showed that mouse epidermal kerati- expression when cytokines were added to cultured nocytes abundantly expressed HAS3 mRNA from the human keratinocytes. Interferon-g increased hyaluro- basal to the granular cell layers, suggesting that nan production whereas transforming growth factor HAS3 functions in epidermis. These ®ndings suggest b decreased it. Both cytokines affected preferentially that HAS3 gene expression plays a crucial role in the high-molecular-mass (> 106 Da) hyaluronan produc- regulation of hyaluronan synthesis in the epidermis. tion. Consistent with the change in hyaluronan syn- Key words: HAS1/HAS2/HAS3/IFN-g/TGF-b. J Invest thesis, we found that interferon-g markedly Dermatol 118:43±48, 2002 upregulated HAS3 mRNA whereas transforming yaluronan, a high-molecular-weight linear glycosa- (Wells et al, 1991).