BCAP Functions As a Dynamic Regulator of Hematopoiesis and Myeloid Cell Development
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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. -
Identification of BBX Proteins As Rate-Limiting Co-Factors of HY5
1 Identification of BBX proteins as rate-limiting co-factors of HY5. 2 Katharina Bursch1, Gabriela Toledo-Ortiz2, Marie Pireyre3, Miriam Lohr1, Cordula Braatz1, Henrik 3 Johansson1* 4 1. Institute of Biology/Applied Genetics, Dahlem Centre of Plant Sciences (DCPS), Freie Universität 5 Berlin, Albrecht-Thaer-Weg 6. D-14195 Berlin, Germany. 6 2. Lancaster Environment Centre, Lancaster University, Lancaster LA1 4YQ, UK 7 3. Department of Botany and Plant Biology, Section of Biology, Faculty of Sciences, University of 8 Geneva, 30 Quai E. Ansermet, 1211 Geneva 4, Switzerland 9 *E-mail [email protected] 10 Abstract 11 As a source of both energy and environmental information, monitoring the incoming light is crucial for 12 plants to optimize growth throughout development1. Concordantly, the light signalling pathways in 13 plants are highly integrated with numerous other regulatory pathways2,3. One of these signal 14 integrators is the bZIP transcription factor HY5 which holds a key role as a positive regulator of light 15 signalling in plants4,5. Although HY5 is thought to act as a DNA-binding transcriptional regulator6,7, the 16 lack of any apparent transactivation domain8 makes it unclear how HY5 is able to accomplish its many 17 functions. Here, we describe the identification of three B-box containing proteins (BBX20, 21 and 22) 18 as essential partners for HY5 dependent modulation of hypocotyl elongation, anthocyanin 19 accumulation and transcriptional regulation. The bbx202122 triple mutant mimics the phenotypes of 20 hy5 in the light and its ability to suppress the cop1 mutant phenotype in darkness. Furthermore, 84% 21 of genes that exhibit differential expression in bbx202122 are also HY5 regulated, and we provide 22 evidence that HY5 requires the B-box proteins for transcriptional regulation. -
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). -
Epigenetics Page 1
Epigenetics esiRNA ID Gene Name Gene Description Ensembl ID HU-13237-1 ACTL6A actin-like 6A ENSG00000136518 HU-13925-1 ACTL6B actin-like 6B ENSG00000077080 HU-14457-1 ACTR1A ARP1 actin-related protein 1 homolog A, centractin alpha (yeast) ENSG00000138107 HU-10579-1 ACTR2 ARP2 actin-related protein 2 homolog (yeast) ENSG00000138071 HU-10837-1 ACTR3 ARP3 actin-related protein 3 homolog (yeast) ENSG00000115091 HU-09776-1 ACTR5 ARP5 actin-related protein 5 homolog (yeast) ENSG00000101442 HU-00773-1 ACTR6 ARP6 actin-related protein 6 homolog (yeast) ENSG00000075089 HU-07176-1 ACTR8 ARP8 actin-related protein 8 homolog (yeast) ENSG00000113812 HU-09411-1 AHCTF1 AT hook containing transcription factor 1 ENSG00000153207 HU-15150-1 AIRE autoimmune regulator ENSG00000160224 HU-12332-1 AKAP1 A kinase (PRKA) anchor protein 1 ENSG00000121057 HU-04065-1 ALG13 asparagine-linked glycosylation 13 homolog (S. cerevisiae) ENSG00000101901 HU-13552-1 ALKBH1 alkB, alkylation repair homolog 1 (E. coli) ENSG00000100601 HU-06662-1 ARID1A AT rich interactive domain 1A (SWI-like) ENSG00000117713 HU-12790-1 ARID1B AT rich interactive domain 1B (SWI1-like) ENSG00000049618 HU-09415-1 ARID2 AT rich interactive domain 2 (ARID, RFX-like) ENSG00000189079 HU-03890-1 ARID3A AT rich interactive domain 3A (BRIGHT-like) ENSG00000116017 HU-14677-1 ARID3B AT rich interactive domain 3B (BRIGHT-like) ENSG00000179361 HU-14203-1 ARID3C AT rich interactive domain 3C (BRIGHT-like) ENSG00000205143 HU-09104-1 ARID4A AT rich interactive domain 4A (RBP1-like) ENSG00000032219 HU-12512-1 ARID4B AT rich interactive domain 4B (RBP1-like) ENSG00000054267 HU-12520-1 ARID5A AT rich interactive domain 5A (MRF1-like) ENSG00000196843 HU-06595-1 ARID5B AT rich interactive domain 5B (MRF1-like) ENSG00000150347 HU-00556-1 ASF1A ASF1 anti-silencing function 1 homolog A (S. -
Dynamic Transcriptomic Profiles of Zebrafish Gills in Response to Zinc
Zheng et al. BMC Genomics 2010, 11:548 http://www.biomedcentral.com/1471-2164/11/548 RESEARCH ARTICLE Open Access Dynamic transcriptomic profiles of zebrafish gills in response to zinc depletion Dongling Zheng1,4, Peter Kille2, Graham P Feeney2, Phil Cunningham1, Richard D Handy3, Christer Hogstrand1* Abstract Background: Zinc deficiency is detrimental to organisms, highlighting its role as an essential micronutrient contributing to numerous biological processes. To investigate the underlying molecular events invoked by zinc depletion we performed a temporal analysis of transcriptome changes observed within the zebrafish gill. This tissue represents a model system for studying ion absorption across polarised epithelial cells as it provides a major pathway for fish to acquire zinc directly from water whilst sharing a conserved zinc transporting system with mammals. Results: Zebrafish were treated with either zinc-depleted (water = 2.61 μgL-1; diet = 26 mg kg-1) or zinc-adequate (water = 16.3 μgL-1; diet = 233 mg kg-1) conditions for two weeks. Gill samples were collected at five time points and transcriptome changes analysed in quintuplicate using a 16K oligonucleotide array. Of the genes represented the expression of a total of 333 transcripts showed differential regulation by zinc depletion (having a fold-change greater than 1.8 and an adjusted P-value less than 0.1, controlling for a 10% False Discovery Rate). Down-regulation was dominant at most time points and distinct sets of genes were regulated at different stages. Annotation enrichment analysis revealed that ‘Developmental Process’ was the most significantly overrepresented Biological Process GO term (P = 0.0006), involving 26% of all regulated genes. -
HMGB1 in Health and Disease R
Donald and Barbara Zucker School of Medicine Journal Articles Academic Works 2014 HMGB1 in health and disease R. Kang R. C. Chen Q. H. Zhang W. Hou S. Wu See next page for additional authors Follow this and additional works at: https://academicworks.medicine.hofstra.edu/articles Part of the Emergency Medicine Commons Recommended Citation Kang R, Chen R, Zhang Q, Hou W, Wu S, Fan X, Yan Z, Sun X, Wang H, Tang D, . HMGB1 in health and disease. 2014 Jan 01; 40():Article 533 [ p.]. Available from: https://academicworks.medicine.hofstra.edu/articles/533. Free full text article. This Article is brought to you for free and open access by Donald and Barbara Zucker School of Medicine Academic Works. It has been accepted for inclusion in Journal Articles by an authorized administrator of Donald and Barbara Zucker School of Medicine Academic Works. Authors R. Kang, R. C. Chen, Q. H. Zhang, W. Hou, S. Wu, X. G. Fan, Z. W. Yan, X. F. Sun, H. C. Wang, D. L. Tang, and +8 additional authors This article is available at Donald and Barbara Zucker School of Medicine Academic Works: https://academicworks.medicine.hofstra.edu/articles/533 NIH Public Access Author Manuscript Mol Aspects Med. Author manuscript; available in PMC 2015 December 01. NIH-PA Author ManuscriptPublished NIH-PA Author Manuscript in final edited NIH-PA Author Manuscript form as: Mol Aspects Med. 2014 December ; 0: 1–116. doi:10.1016/j.mam.2014.05.001. HMGB1 in Health and Disease Rui Kang1,*, Ruochan Chen1, Qiuhong Zhang1, Wen Hou1, Sha Wu1, Lizhi Cao2, Jin Huang3, Yan Yu2, Xue-gong Fan4, Zhengwen Yan1,5, Xiaofang Sun6, Haichao Wang7, Qingde Wang1, Allan Tsung1, Timothy R. -
GTF2A1 (TFIIA-Alpha) Rabbit Polyclonal Antibody Product Data
OriGene Technologies, Inc. 9620 Medical Center Drive, Ste 200 Rockville, MD 20850, US Phone: +1-888-267-4436 [email protected] EU: [email protected] CN: [email protected] Product datasheet for AP20422PU-N GTF2A1 (TFIIA-alpha) Rabbit Polyclonal Antibody Product data: Product Type: Primary Antibodies Applications: IHC, WB Recommended Dilution: Western blot: 1/500-1/1000. Immunohistochemistry on paraffin sections: 1/50-1/200. Reactivity: Human, Mouse, Rat Host: Rabbit Clonality: Polyclonal Specificity: This antibody detects endogenous levels of TFIIA-α protein. (region surrounding Glu311) Formulation: Phosphate buffered saline (PBS), pH 7.2 State: Aff - Purified State: Liquid purified Ig fraction Preservative: 0.05% sodium azide Concentration: 1.0 mg/ml Purification: Affinity-chromatography using epitope-specific immunogen; purity is > 95% (by SDS-PAGE) Conjugation: Unconjugated Storage: Store undiluted at 2-8°C for one month or (in aliquots) at -20°C for longer. Avoid repeated freezing and thawing. Stability: Shelf life: one year from despatch. Predicted Protein Size: ~ 42 kDa Gene Name: Homo sapiens general transcription factor IIA subunit 1 (GTF2A1), transcript variant 1 Database Link: Entrez Gene 83602 MouseEntrez Gene 83830 RatEntrez Gene 2957 Human P52655 This product is to be used for laboratory only. Not for diagnostic or therapeutic use. View online » ©2021 OriGene Technologies, Inc., 9620 Medical Center Drive, Ste 200, Rockville, MD 20850, US 1 / 2 GTF2A1 (TFIIA-alpha) Rabbit Polyclonal Antibody – AP20422PU-N Background: Initiation of transcription from protein-coding genes in eukaryotes is a complex process that requires RNA polymerase II, as well as families of basal transcription factors. Binding of the factor TFIID (TBP) to the TATA box is believed to be the first step in the formation of a multiprotein complex containing several additional factors, including TFIIA, TFIIB, TFIIE, TFIIF and TFIIH. -
Supplementary Material DNA Methylation in Inflammatory Pathways Modifies the Association Between BMI and Adult-Onset Non- Atopic
Supplementary Material DNA Methylation in Inflammatory Pathways Modifies the Association between BMI and Adult-Onset Non- Atopic Asthma Ayoung Jeong 1,2, Medea Imboden 1,2, Akram Ghantous 3, Alexei Novoloaca 3, Anne-Elie Carsin 4,5,6, Manolis Kogevinas 4,5,6, Christian Schindler 1,2, Gianfranco Lovison 7, Zdenko Herceg 3, Cyrille Cuenin 3, Roel Vermeulen 8, Deborah Jarvis 9, André F. S. Amaral 9, Florian Kronenberg 10, Paolo Vineis 11,12 and Nicole Probst-Hensch 1,2,* 1 Swiss Tropical and Public Health Institute, 4051 Basel, Switzerland; [email protected] (A.J.); [email protected] (M.I.); [email protected] (C.S.) 2 Department of Public Health, University of Basel, 4001 Basel, Switzerland 3 International Agency for Research on Cancer, 69372 Lyon, France; [email protected] (A.G.); [email protected] (A.N.); [email protected] (Z.H.); [email protected] (C.C.) 4 ISGlobal, Barcelona Institute for Global Health, 08003 Barcelona, Spain; [email protected] (A.-E.C.); [email protected] (M.K.) 5 Universitat Pompeu Fabra (UPF), 08002 Barcelona, Spain 6 CIBER Epidemiología y Salud Pública (CIBERESP), 08005 Barcelona, Spain 7 Department of Economics, Business and Statistics, University of Palermo, 90128 Palermo, Italy; [email protected] 8 Environmental Epidemiology Division, Utrecht University, Institute for Risk Assessment Sciences, 3584CM Utrecht, Netherlands; [email protected] 9 Population Health and Occupational Disease, National Heart and Lung Institute, Imperial College, SW3 6LR London, UK; [email protected] (D.J.); [email protected] (A.F.S.A.) 10 Division of Genetic Epidemiology, Medical University of Innsbruck, 6020 Innsbruck, Austria; [email protected] 11 MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, W2 1PG London, UK; [email protected] 12 Italian Institute for Genomic Medicine (IIGM), 10126 Turin, Italy * Correspondence: [email protected]; Tel.: +41-61-284-8378 Int. -
Transcriptional and Post-Transcriptional Regulation of ATP-Binding Cassette Transporter Expression
Transcriptional and Post-transcriptional Regulation of ATP-binding Cassette Transporter Expression by Aparna Chhibber DISSERTATION Submitted in partial satisfaction of the requirements for the degree of DOCTOR OF PHILOSOPHY in Pharmaceutical Sciences and Pbarmacogenomies in the Copyright 2014 by Aparna Chhibber ii Acknowledgements First and foremost, I would like to thank my advisor, Dr. Deanna Kroetz. More than just a research advisor, Deanna has clearly made it a priority to guide her students to become better scientists, and I am grateful for the countless hours she has spent editing papers, developing presentations, discussing research, and so much more. I would not have made it this far without her support and guidance. My thesis committee has provided valuable advice through the years. Dr. Nadav Ahituv in particular has been a source of support from my first year in the graduate program as my academic advisor, qualifying exam committee chair, and finally thesis committee member. Dr. Kathy Giacomini graciously stepped in as a member of my thesis committee in my 3rd year, and Dr. Steven Brenner provided valuable input as thesis committee member in my 2nd year. My labmates over the past five years have been incredible colleagues and friends. Dr. Svetlana Markova first welcomed me into the lab and taught me numerous laboratory techniques, and has always been willing to act as a sounding board. Michael Martin has been my partner-in-crime in the lab from the beginning, and has made my days in lab fly by. Dr. Yingmei Lui has made the lab run smoothly, and has always been willing to jump in to help me at a moment’s notice. -
Original Article a Database and Functional Annotation of NF-Κb Target Genes
Int J Clin Exp Med 2016;9(5):7986-7995 www.ijcem.com /ISSN:1940-5901/IJCEM0019172 Original Article A database and functional annotation of NF-κB target genes Yang Yang, Jian Wu, Jinke Wang The State Key Laboratory of Bioelectronics, Southeast University, Nanjing 210096, People’s Republic of China Received November 4, 2015; Accepted February 10, 2016; Epub May 15, 2016; Published May 30, 2016 Abstract: Backgrounds: The previous studies show that the transcription factor NF-κB always be induced by many inducers, and can regulate the expressions of many genes. The aim of the present study is to explore the database and functional annotation of NF-κB target genes. Methods: In this study, we manually collected the most complete listing of all NF-κB target genes identified to date, including the NF-κB microRNA target genes and built the database of NF-κB target genes with the detailed information of each target gene and annotated it by DAVID tools. Results: The NF-κB target genes database was established (http://tfdb.seu.edu.cn/nfkb/). The collected data confirmed that NF-κB maintains multitudinous biological functions and possesses the considerable complexity and diversity in regulation the expression of corresponding target genes set. The data showed that the NF-κB was a central regula- tor of the stress response, immune response and cellular metabolic processes. NF-κB involved in bone disease, immunological disease and cardiovascular disease, various cancers and nervous disease. NF-κB can modulate the expression activity of other transcriptional factors. Inhibition of IKK and IκBα phosphorylation, the decrease of nuclear translocation of p65 and the reduction of intracellular glutathione level determined the up-regulation or down-regulation of expression of NF-κB target genes. -
Application of Microrna Database Mining in Biomarker Discovery and Identification of Therapeutic Targets for Complex Disease
Article Application of microRNA Database Mining in Biomarker Discovery and Identification of Therapeutic Targets for Complex Disease Jennifer L. Major, Rushita A. Bagchi * and Julie Pires da Silva * Department of Medicine, Division of Cardiology, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA; [email protected] * Correspondence: [email protected] (R.A.B.); [email protected] (J.P.d.S.) Supplementary Tables Methods Protoc. 2021, 4, 5. https://doi.org/10.3390/mps4010005 www.mdpi.com/journal/mps Methods Protoc. 2021, 4, 5. https://doi.org/10.3390/mps4010005 2 of 25 Table 1. List of all hsa-miRs identified by Human microRNA Disease Database (HMDD; v3.2) analysis. hsa-miRs were identified using the term “genetics” and “circulating” as input in HMDD. Targets CAD hsa-miR-1 Targets IR injury hsa-miR-423 Targets Obesity hsa-miR-499 hsa-miR-146a Circulating Obesity Genetics CAD hsa-miR-423 hsa-miR-146a Circulating CAD hsa-miR-149 hsa-miR-499 Circulating IR Injury hsa-miR-146a Circulating Obesity hsa-miR-122 Genetics Stroke Circulating CAD hsa-miR-122 Circulating Stroke hsa-miR-122 Genetics Obesity Circulating Stroke hsa-miR-26b hsa-miR-17 hsa-miR-223 Targets CAD hsa-miR-340 hsa-miR-34a hsa-miR-92a hsa-miR-126 Circulating Obesity Targets IR injury hsa-miR-21 hsa-miR-423 hsa-miR-126 hsa-miR-143 Targets Obesity hsa-miR-21 hsa-miR-223 hsa-miR-34a hsa-miR-17 Targets CAD hsa-miR-223 hsa-miR-92a hsa-miR-126 Targets IR injury hsa-miR-155 hsa-miR-21 Circulating CAD hsa-miR-126 hsa-miR-145 hsa-miR-21 Targets Obesity hsa-mir-223 hsa-mir-499 hsa-mir-574 Targets IR injury hsa-mir-21 Circulating IR injury Targets Obesity hsa-mir-21 Targets CAD hsa-mir-22 hsa-mir-133a Targets IR injury hsa-mir-155 hsa-mir-21 Circulating Stroke hsa-mir-145 hsa-mir-146b Targets Obesity hsa-mir-21 hsa-mir-29b Methods Protoc. -
Genome-Wide Identi Cation, Characterization and Evolution of BBX Gene Family in Cotton
Genome-Wide Identication, Characterization and Evolution of BBX Gene Family in Cotton Jun-Shan Gao ( [email protected] ) Anhui Agricultural University Pei-pei Wang Anhui Agricultural University Na Sun Anhui Agricultural University Jessica-Maguy Anhui Agricultural University MIENANDI NKODIA Anhui Agricultural University Yong Wu Anhui Agricultural University Ning Guo Anhui Agricultural University Da-Hui Li Anhui Agricultural University Research article Keywords: B-BOX, cotton, GhBBX, systematic analysis, proanthocyanidin Posted Date: December 11th, 2020 DOI: https://doi.org/10.21203/rs.3.rs-120586/v1 License: This work is licensed under a Creative Commons Attribution 4.0 International License. Read Full License Page 1/25 Abstract Background: The B-BOX (BBX) proteins have important functions in the regulation of photomorphogenesis. The BBX gene family has been identied in several plants, such as rice, Arabidopsis and tomato. However, there still lack a genome-wide survey of BBX genes in cotton. Results: In our present study, 63 GhBBX genes were identied in cotton. The analyses of phylogenetic evolution and gene structure showed that the GhBBX genes were divided into ve subfamilies, and contained B-box conserved domains. qRT-PCR analysis releaved that both GhBBX27 and GhBBX33 had potential roles in proanthocyanidin synthesis of brown cotton bers. Conclusions: This study provides a genome-wide survey of the BBX gene family in cotton and highlights its role in proanthocyanidin synthesis. This result will help us to further understand the complexity of the BBX gene family and the functional characteristics of its members. Background The zinc nger protein is a member of the transcription factor family and has a large proportion in plants, which has been reported in rice, soybean and Arabidopsis[1].