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The Rise and Fall of the Bovine Corpus Luteum
University of Nebraska Medical Center DigitalCommons@UNMC Theses & Dissertations Graduate Studies Spring 5-6-2017 The Rise and Fall of the Bovine Corpus Luteum Heather Talbott University of Nebraska Medical Center Follow this and additional works at: https://digitalcommons.unmc.edu/etd Part of the Biochemistry Commons, Molecular Biology Commons, and the Obstetrics and Gynecology Commons Recommended Citation Talbott, Heather, "The Rise and Fall of the Bovine Corpus Luteum" (2017). Theses & Dissertations. 207. https://digitalcommons.unmc.edu/etd/207 This Dissertation is brought to you for free and open access by the Graduate Studies at DigitalCommons@UNMC. It has been accepted for inclusion in Theses & Dissertations by an authorized administrator of DigitalCommons@UNMC. For more information, please contact [email protected]. THE RISE AND FALL OF THE BOVINE CORPUS LUTEUM by Heather Talbott A DISSERTATION Presented to the Faculty of the University of Nebraska Graduate College in Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy Biochemistry and Molecular Biology Graduate Program Under the Supervision of Professor John S. Davis University of Nebraska Medical Center Omaha, Nebraska May, 2017 Supervisory Committee: Carol A. Casey, Ph.D. Andrea S. Cupp, Ph.D. Parmender P. Mehta, Ph.D. Justin L. Mott, Ph.D. i ACKNOWLEDGEMENTS This dissertation was supported by the Agriculture and Food Research Initiative from the USDA National Institute of Food and Agriculture (NIFA) Pre-doctoral award; University of Nebraska Medical Center Graduate Student Assistantship; University of Nebraska Medical Center Exceptional Incoming Graduate Student Award; the VA Nebraska-Western Iowa Health Care System Department of Veterans Affairs; and The Olson Center for Women’s Health, Department of Obstetrics and Gynecology, Nebraska Medical Center. -
MXD1 Localizes in the Nucleolus, Binds UBF and Impairs Rrna Synthesis
www.impactjournals.com/oncotarget/ Oncotarget, Vol. 7, No. 43 Research Paper MXD1 localizes in the nucleolus, binds UBF and impairs rRNA synthesis Maria del Carmen Lafita-Navarro1,3, Rosa Blanco1, Jorge Mata-Garrido2, Judit Liaño-Pons1, Olga Tapia2, Lucía García-Gutiérrez1, Eva García-Alegría1,4, María T. Berciano2, Miguel Lafarga2, Javier León1 1Instituto de Biomedicina y Biotecnología de Cantabria (IBBTEC), CSIC-Universidad de Cantabria, and Department of Molecular Biology, University of Cantabria, Santander, Spain 2Department of Anatomy and Cell Biology and Centro de Investigación en Red sobre Enfermedades Neurodegenerativas (CIBERNED), University of Cantabria-IDIVAL, Santander, Spain 3Present address: Department of Cell Biology, UT Southwestern Medical Center, Dallas, Texas, USA 4Present address: Stem Cell Hematopoiesis Group, Cancer Research UK Manchester Institute, University of Manchester, Manchester, United Kingdom Correspondence to: Javier León, email: [email protected] Keywords: MXD1, UBF, nucleolus, pre-rRNA, transcription regulation Received: June 20, 2016 Accepted: August 26, 2016 Published: August 31, 2016 ABSTRACT MXD1 is a protein that interacts with MAX, to form a repressive transcription factor. MXD1-MAX binds E-boxes. MXD1-MAX antagonizes the transcriptional activity of the MYC oncoprotein in most models. It has been reported that MYC overexpression leads to augmented RNA synthesis and ribosome biogenesis, which is a relevant activity in MYC-mediated tumorigenesis. Here we describe that MXD1, but not MYC or MNT, localizes to the nucleolus in a wide array of cell lines derived from different tissues (carcinoma, leukemia) as well as in embryonic stem cells. MXD1 also localizes in the nucleolus of primary tissue cells as neurons and Sertoli cells. -
Uncovering the Signaling Landscape Controlling Breast Cancer Cell Migration Identifies Novel Metastasis Driver Genes
ARTICLE https://doi.org/10.1038/s41467-019-11020-3 OPEN Uncovering the signaling landscape controlling breast cancer cell migration identifies novel metastasis driver genes Esmee Koedoot1,4, Michiel Fokkelman 1,4, Vasiliki-Maria Rogkoti1,4, Marcel Smid2, Iris van de Sandt1, Hans de Bont1, Chantal Pont1, Janna E. Klip1, Steven Wink 1, Mieke A. Timmermans2, Erik A.C. Wiemer2, Peter Stoilov3, John A. Foekens2, Sylvia E. Le Dévédec 1, John W.M. Martens 2 & Bob van de Water1 1234567890():,; Ttriple-negative breast cancer (TNBC) is an aggressive and highly metastatic breast cancer subtype. Enhanced TNBC cell motility is a prerequisite of TNBC cell dissemination. Here, we apply an imaging-based RNAi phenotypic cell migration screen using two highly motile TNBC cell lines (Hs578T and MDA-MB-231) to provide a repository of signaling determinants that functionally drive TNBC cell motility. We have screened ~4,200 target genes individually and discovered 133 and 113 migratory modulators of Hs578T and MDA-MB-231, respectively, which are linked to signaling networks predictive for breast cancer progression. The splicing factors PRPF4B and BUD31 and the transcription factor BPTF are essential for cancer cell migration, amplified in human primary breast tumors and associated with metastasis-free survival. Depletion of PRPF4B, BUD31 and BPTF causes primarily down regulation of genes involved in focal adhesion and ECM-interaction pathways. PRPF4B is essential for TNBC metastasis formation in vivo, making PRPF4B a candidate for further drug development. 1 Division of Drug Discovery and Safety, LACDR, Leiden University, Einsteinweg 55, Leiden 2333 CC, Netherlands. 2 Department of Medical Oncology and Cancer Genomics Netherlands, Erasmus MC Cancer Institute, Erasmus University Medical Center, Rotterdam 3008 AE, Netherlands. -
Genetic Variations in the PSMA6 and PSMC6 Proteasome Genes Are Associated with Multiple Sclerosis and Response to Interferon‑Β Therapy in Latvians
EXPERIMENTAL AND THERAPEUTIC MEDICINE 21: 478, 2021 Genetic variations in the PSMA6 and PSMC6 proteasome genes are associated with multiple sclerosis and response to interferon‑β therapy in Latvians NATALIA PARAMONOVA1, JOLANTA KALNINA1, KRISTINE DOKANE1, KRISTINE DISLERE1, ILVA TRAPINA1, TATJANA SJAKSTE1 and NIKOLAJS SJAKSTE1,2 1Genomics and Bioinformatics, Institute of Biology of The University of Latvia; 2Department of Medical Biochemistry of The University of Latvia, LV‑1004 Riga, Latvia Received July 8, 2020; Accepted December 8, 2020 DOI: 10.3892/etm.2021.9909 Abstract. Several polymorphisms in genes related to the Introduction ubiquitin‑proteasome system exhibit an association with pathogenesis and prognosis of various human autoimmune Multiple sclerosis (MS) is a lifelong demyelinating disease of diseases. Our previous study reported the association the central nervous system. The clinical onset of MS tends to between multiple sclerosis (MS) and the PSMA3‑rs2348071 be between the second and fourth decade of life. Similarly to polymorphism in the Latvian population. The current study other autoimmune diseases, women are affected 3‑4 times more aimed to evaluate the PSMA6 and PSMC6 genetic variations, frequently than men (1). About 10% of MS patients experience their interaction between each other and with the rs2348071, a primary progressive MS form characterized by the progres‑ on the susceptibility to MS risk and response to therapy in sion of neurological disability from the onset. In about 90% the Latvian population. PSMA6‑rs2277460, ‑rs1048990 and of MS patients, the disease undergoes the relapse‑remitting PSMC6‑rs2295826, ‑rs2295827 were genotyped in the MS MS course (RRMS); in most of these patients, the condition case/control study and analysed in terms of genotype‑protein acquires secondary progressive course (SPMS) (2). -
20S Proteasome Α3 (Phospho Ser250) Polyclonal Antibody Catalog # AP67328
10320 Camino Santa Fe, Suite G San Diego, CA 92121 Tel: 858.875.1900 Fax: 858.622.0609 20S Proteasome α3 (phospho Ser250) Polyclonal Antibody Catalog # AP67328 Specification 20S Proteasome α3 (phospho Ser250) Polyclonal Antibody - Product Information Application WB Primary Accession P25788 Reactivity Human, Mouse, Rat Host Rabbit Clonality Polyclonal 20S Proteasome α3 (phospho Ser250) Polyclonal Antibody - Additional Information Gene ID 5684 Other Names PSMA3; HC8; PSC8; Proteasome subunit alpha type-3; Macropain subunit C8; Multicatalytic endopeptidase complex subunit C8; Proteasome component C8 Dilution WB~~Western Blot: 1/500 - 1/2000. Immunohistochemistry: 1/100 - 1/300. ELISA: 1/10000. Not yet tested in other applications. Format Liquid in PBS containing 50% glycerol, 0.5% BSA and 0.02% sodium azide. Storage Conditions -20℃ 20S Proteasome α3 (phospho Ser250) Polyclonal Antibody - Protein Information Name PSMA3 Synonyms HC8, PSC8 Function Component of the 20S core proteasome complex involved in the proteolytic degradation of most intracellular proteins. This complex plays numerous essential roles within the cell by associating with Page 1/2 10320 Camino Santa Fe, Suite G San Diego, CA 92121 Tel: 858.875.1900 Fax: 858.622.0609 different regulatory particles. Associated with two 19S regulatory particles, forms the 26S proteasome and thus participates in the ATP- dependent degradation of ubiquitinated proteins. The 26S proteasome plays a key role in the maintenance of protein homeostasis by removing misfolded or damaged proteins that could impair cellular functions, and by removing proteins whose functions are no longer required. Associated with the PA200 or PA28, the 20S proteasome mediates ubiquitin- independent protein degradation. This type of proteolysis is required in several 20S Proteasome α3 (phospho Ser250) pathways including spermatogenesis Polyclonal Antibody - Background (20S-PA200 complex) or generation of a subset of MHC class I-presented antigenic Component of the 20S core proteasome peptides (20S-PA28 complex). -
Zhou Et Al POLQ Inhibitor.Docx
bioRxiv preprint doi: https://doi.org/10.1101/2020.05.23.111658; this version posted May 26, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. Polymerase Theta Inhibition Kills Homologous Recombination Deficient Tumors Jia Zhou1, Camille Gelot2, Constantia Pantelidou3, Adam Li1, Hatice Yücel2, Rachel E. Davis4, Anniina Farkkila1, Bose Kochupurakkal1, Aleem Syed5, Geoffrey I. Shapiro3,6, John A. Tainer5, Brian S. J. Blagg4, Raphael Ceccaldi2,7* and Alan D. D’Andrea1,6,7* 1Department of Radiation Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA 02215, USA. 2Inserm U830, PSL Research University, Institut Curie, 75005, Paris, France. 3Department of Medical Oncology, Dana-Farber Cancer Institute and Department of Medicine, Harvard Medical School, Boston, Massachusetts, USA. 4Department of Chemistry and Biochemistry, University of Notre Dame, Notre Dame, IN 46556, USA. 5Departments of Cancer Biology and of Molecular and Cellular Oncology, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA. 6Center for DNA Damage and Repair, Dana-Farber Cancer Institute, Boston, MA, USA. 7Co-senior authors. * Co-corresponding authors. * Corresponding authors: Alan D. D’Andrea, M.D. Director, Susan F. Smith Center for Women’s Cancers (SFSCWC) Director, Center for DNA Damage and Repair Dana-Farber Cancer Institute The Fuller-American Cancer Society Professor Harvard Medical School Phone: 617-632-2080 Email: [email protected] Raphael Ceccaldi Institut Curie, 75005, Paris, France Phone: +33 (0)1 56 24 69 49 Email: [email protected] Key Words: Novobiocin, Polymerase theta (POLθ), Homologous Recombination, PARP inhibitor resistance. -
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. -
Supplementary Table 3 Complete List of RNA-Sequencing Analysis of Gene Expression Changed by ≥ Tenfold Between Xenograft and Cells Cultured in 10%O2
Supplementary Table 3 Complete list of RNA-Sequencing analysis of gene expression changed by ≥ tenfold between xenograft and cells cultured in 10%O2 Expr Log2 Ratio Symbol Entrez Gene Name (culture/xenograft) -7.182 PGM5 phosphoglucomutase 5 -6.883 GPBAR1 G protein-coupled bile acid receptor 1 -6.683 CPVL carboxypeptidase, vitellogenic like -6.398 MTMR9LP myotubularin related protein 9-like, pseudogene -6.131 SCN7A sodium voltage-gated channel alpha subunit 7 -6.115 POPDC2 popeye domain containing 2 -6.014 LGI1 leucine rich glioma inactivated 1 -5.86 SCN1A sodium voltage-gated channel alpha subunit 1 -5.713 C6 complement C6 -5.365 ANGPTL1 angiopoietin like 1 -5.327 TNN tenascin N -5.228 DHRS2 dehydrogenase/reductase 2 leucine rich repeat and fibronectin type III domain -5.115 LRFN2 containing 2 -5.076 FOXO6 forkhead box O6 -5.035 ETNPPL ethanolamine-phosphate phospho-lyase -4.993 MYO15A myosin XVA -4.972 IGF1 insulin like growth factor 1 -4.956 DLG2 discs large MAGUK scaffold protein 2 -4.86 SCML4 sex comb on midleg like 4 (Drosophila) Src homology 2 domain containing transforming -4.816 SHD protein D -4.764 PLP1 proteolipid protein 1 -4.764 TSPAN32 tetraspanin 32 -4.713 N4BP3 NEDD4 binding protein 3 -4.705 MYOC myocilin -4.646 CLEC3B C-type lectin domain family 3 member B -4.646 C7 complement C7 -4.62 TGM2 transglutaminase 2 -4.562 COL9A1 collagen type IX alpha 1 chain -4.55 SOSTDC1 sclerostin domain containing 1 -4.55 OGN osteoglycin -4.505 DAPL1 death associated protein like 1 -4.491 C10orf105 chromosome 10 open reading frame 105 -4.491 -
4-6 Weeks Old Female C57BL/6 Mice Obtained from Jackson Labs Were Used for Cell Isolation
Methods Mice: 4-6 weeks old female C57BL/6 mice obtained from Jackson labs were used for cell isolation. Female Foxp3-IRES-GFP reporter mice (1), backcrossed to B6/C57 background for 10 generations, were used for the isolation of naïve CD4 and naïve CD8 cells for the RNAseq experiments. The mice were housed in pathogen-free animal facility in the La Jolla Institute for Allergy and Immunology and were used according to protocols approved by the Institutional Animal Care and use Committee. Preparation of cells: Subsets of thymocytes were isolated by cell sorting as previously described (2), after cell surface staining using CD4 (GK1.5), CD8 (53-6.7), CD3ε (145- 2C11), CD24 (M1/69) (all from Biolegend). DP cells: CD4+CD8 int/hi; CD4 SP cells: CD4CD3 hi, CD24 int/lo; CD8 SP cells: CD8 int/hi CD4 CD3 hi, CD24 int/lo (Fig S2). Peripheral subsets were isolated after pooling spleen and lymph nodes. T cells were enriched by negative isolation using Dynabeads (Dynabeads untouched mouse T cells, 11413D, Invitrogen). After surface staining for CD4 (GK1.5), CD8 (53-6.7), CD62L (MEL-14), CD25 (PC61) and CD44 (IM7), naïve CD4+CD62L hiCD25-CD44lo and naïve CD8+CD62L hiCD25-CD44lo were obtained by sorting (BD FACS Aria). Additionally, for the RNAseq experiments, CD4 and CD8 naïve cells were isolated by sorting T cells from the Foxp3- IRES-GFP mice: CD4+CD62LhiCD25–CD44lo GFP(FOXP3)– and CD8+CD62LhiCD25– CD44lo GFP(FOXP3)– (antibodies were from Biolegend). In some cases, naïve CD4 cells were cultured in vitro under Th1 or Th2 polarizing conditions (3, 4). -
Supplemental Materials ZNF281 Enhances Cardiac Reprogramming
Supplemental Materials ZNF281 enhances cardiac reprogramming by modulating cardiac and inflammatory gene expression Huanyu Zhou, Maria Gabriela Morales, Hisayuki Hashimoto, Matthew E. Dickson, Kunhua Song, Wenduo Ye, Min S. Kim, Hanspeter Niederstrasser, Zhaoning Wang, Beibei Chen, Bruce A. Posner, Rhonda Bassel-Duby and Eric N. Olson Supplemental Table 1; related to Figure 1. Supplemental Table 2; related to Figure 1. Supplemental Table 3; related to the “quantitative mRNA measurement” in Materials and Methods section. Supplemental Table 4; related to the “ChIP-seq, gene ontology and pathway analysis” and “RNA-seq” and gene ontology analysis” in Materials and Methods section. Supplemental Figure S1; related to Figure 1. Supplemental Figure S2; related to Figure 2. Supplemental Figure S3; related to Figure 3. Supplemental Figure S4; related to Figure 4. Supplemental Figure S5; related to Figure 6. Supplemental Table S1. Genes included in human retroviral ORF cDNA library. Gene Gene Gene Gene Gene Gene Gene Gene Symbol Symbol Symbol Symbol Symbol Symbol Symbol Symbol AATF BMP8A CEBPE CTNNB1 ESR2 GDF3 HOXA5 IL17D ADIPOQ BRPF1 CEBPG CUX1 ESRRA GDF6 HOXA6 IL17F ADNP BRPF3 CERS1 CX3CL1 ETS1 GIN1 HOXA7 IL18 AEBP1 BUD31 CERS2 CXCL10 ETS2 GLIS3 HOXB1 IL19 AFF4 C17ORF77 CERS4 CXCL11 ETV3 GMEB1 HOXB13 IL1A AHR C1QTNF4 CFL2 CXCL12 ETV7 GPBP1 HOXB5 IL1B AIMP1 C21ORF66 CHIA CXCL13 FAM3B GPER HOXB6 IL1F3 ALS2CR8 CBFA2T2 CIR1 CXCL14 FAM3D GPI HOXB7 IL1F5 ALX1 CBFA2T3 CITED1 CXCL16 FASLG GREM1 HOXB9 IL1F6 ARGFX CBFB CITED2 CXCL3 FBLN1 GREM2 HOXC4 IL1F7 -
Functional Annotations of Single-Nucleotide Polymorphism
CLINICAL RESEARCH e-ISSN 1643-3750 © Med Sci Monit, 2020; 26: e922710 DOI: 10.12659/MSM.922710 Received: 2020.01.08 Accepted: 2020.02.20 Functional Annotations of Single-Nucleotide Available online: 2020.03.30 Published: 2020.05.25 Polymorphism (SNP)-Based and Gene-Based Genome-Wide Association Studies Show Genes Affecting Keratitis Susceptibility Authors’ Contribution: BCDEF 1 Yue Xu* 1 Department of Ophthalmology, First Affiliated Hospital of Soochow University, Study Design A BCDEF 2 Xiao-Lin Yang* Suzhou, Jiangsu, P.R. China Data Collection B 2 Center for Genetic Epidemiology and Genomics, School of Public Health, Medical Statistical Analysis C BCD 1 Xiao-Long Yang College of Soochow University, Suzhou, Jiangsu, P.R. China Data Interpretation D BC 1 Ya-Ru Ren Manuscript Preparation E BC 1 Xin-Yu Zhuang Literature Search F Funds Collection G ADE 2 Lei Zhang ADE 1 Xiao-Feng Zhang * Yue Xu and Xiao-Lin Yang contributed equally Corresponding Authors: Xiao-Feng Zhang, e-mail: [email protected], Lei Zhang, e-mail: [email protected] Source of support: Departmental sources Background: Keratitis is a complex condition in humans and is the second most common cause of legal blindness worldwide. Material/Methods: To reveal the genomic loci underlying keratitis, we performed functional annotations of SNP-based and gene- based genome-wide association studies of keratitis in the UK Biobank (UKB) cohort with 337 199 subjects of European ancestry. Results: The publicly available SNP-based association results showed a total of 34 SNPs, from 14 distinct loci, associated with keratitis in the UKB. Gene-based association analysis identified 2 significant genes:IQCF3 (p=2.0×10–6) and SOD3 (p=2.0×10–6). -
Androgen Receptor Interacting Proteins and Coregulators Table
ANDROGEN RECEPTOR INTERACTING PROTEINS AND COREGULATORS TABLE Compiled by: Lenore K. Beitel, Ph.D. Lady Davis Institute for Medical Research 3755 Cote Ste Catherine Rd, Montreal, Quebec H3T 1E2 Canada Telephone: 514-340-8260 Fax: 514-340-7502 E-Mail: [email protected] Internet: http://androgendb.mcgill.ca Date of this version: 2010-08-03 (includes articles published as of 2009-12-31) Table Legend: Gene: Official symbol with hyperlink to NCBI Entrez Gene entry Protein: Protein name Preferred Name: NCBI Entrez Gene preferred name and alternate names Function: General protein function, categorized as in Heemers HV and Tindall DJ. Endocrine Reviews 28: 778-808, 2007. Coregulator: CoA, coactivator; coR, corepressor; -, not reported/no effect Interactn: Type of interaction. Direct, interacts directly with androgen receptor (AR); indirect, indirect interaction; -, not reported Domain: Interacts with specified AR domain. FL-AR, full-length AR; NTD, N-terminal domain; DBD, DNA-binding domain; h, hinge; LBD, ligand-binding domain; C-term, C-terminal; -, not reported References: Selected references with hyperlink to PubMed abstract. Note: Due to space limitations, all references for each AR-interacting protein/coregulator could not be cited. The reader is advised to consult PubMed for additional references. Also known as: Alternate gene names Gene Protein Preferred Name Function Coregulator Interactn Domain References Also known as AATF AATF/Che-1 apoptosis cell cycle coA direct FL-AR Leister P et al. Signal Transduction 3:17-25, 2003 DED; CHE1; antagonizing regulator Burgdorf S et al. J Biol Chem 279:17524-17534, 2004 CHE-1; AATF transcription factor ACTB actin, beta actin, cytoplasmic 1; cytoskeletal coA - - Ting HJ et al.