Three-Dimensional X-Ray Imaging of Β-Galactosidase Reporter Activity by Micro-CT: Implication for Quantitative Analysis of Gene Expression
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
TSEN54 Rabbit Pab Antibody
TSEN54 rabbit pAb antibody Catalog No : Source: Concentration : Mol.Wt. (Da): A22945 Rabbit 1 mg/ml 58819 Applications WB,IHC,ELISA Reactivity Human Dilution WB: 1:500 - 1:2000. IHC: 1:100 - 1:300. ELISA: 1:20000. Not yet tested in other applications. Storage -20°C/1 year Specificity TSEN54 Polyclonal Antibody detects endogenous levels of TSEN54 protein. Source / Purification The antibody was affinity-purified from rabbit antiserum by affinity- chromatography using epitope-specific immunogen. Immunogen The antiserum was produced against synthesized peptide derived from human TSEN54. AA range:261-310 Uniprot No Q7Z6J9 Alternative names TSEN54; SEN54; tRNA-splicing endonuclease subunit Sen54; SEN54 homolog; HsSEN54; tRNA-intron endonuclease Sen54 Form Liquid in PBS containing 50% glycerol, 0.5% BSA and 0.02% sodium azide. Clonality Polyclonal Isotype IgG Conjugation Background tRNA splicing endonuclease subunit 54(TSEN54) Homo sapiens This gene encodes a subunit of the tRNA splicing endonuclease complex, which catalyzes the removal of introns from precursor tRNAs. The complex is also implicated in pre-mRNA 3-prime end processing. Mutations in this gene result in pontocerebellar hypoplasia type 2.[provided by RefSeq, Oct 2009], Other TSEN54, tRNA-splicing endonuclease subunit Sen54 Produtc Images: Application Key: WB-Western IP-Immunoprecipitation IHC-Immunohistochemistry ChIP-Chromatin Immunoprecipitation A AAB Biosciences Products www.aabsci.cn FOR RESEARCH USE ONLY. NOT FOR HUMAN OR DIAGNOSTIC USE. IF-Immunofluorescence F-Flow Cytometry E-P-ELISA-Peptide Species Cross-Reactivity Key: H-Human M-Mouse R-Rat Hm-Hamster Mk-Monkey Vir-Virus Mi-Mink C-Chicken Dm-D. melanogaster X-Xenopus Z-Zebrafish B-Bovine Dg-Dog Pg-Pig Sc-S. -
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. -
Aneuploidy: Using Genetic Instability to Preserve a Haploid Genome?
Health Science Campus FINAL APPROVAL OF DISSERTATION Doctor of Philosophy in Biomedical Science (Cancer Biology) Aneuploidy: Using genetic instability to preserve a haploid genome? Submitted by: Ramona Ramdath In partial fulfillment of the requirements for the degree of Doctor of Philosophy in Biomedical Science Examination Committee Signature/Date Major Advisor: David Allison, M.D., Ph.D. Academic James Trempe, Ph.D. Advisory Committee: David Giovanucci, Ph.D. Randall Ruch, Ph.D. Ronald Mellgren, Ph.D. Senior Associate Dean College of Graduate Studies Michael S. Bisesi, Ph.D. Date of Defense: April 10, 2009 Aneuploidy: Using genetic instability to preserve a haploid genome? Ramona Ramdath University of Toledo, Health Science Campus 2009 Dedication I dedicate this dissertation to my grandfather who died of lung cancer two years ago, but who always instilled in us the value and importance of education. And to my mom and sister, both of whom have been pillars of support and stimulating conversations. To my sister, Rehanna, especially- I hope this inspires you to achieve all that you want to in life, academically and otherwise. ii Acknowledgements As we go through these academic journeys, there are so many along the way that make an impact not only on our work, but on our lives as well, and I would like to say a heartfelt thank you to all of those people: My Committee members- Dr. James Trempe, Dr. David Giovanucchi, Dr. Ronald Mellgren and Dr. Randall Ruch for their guidance, suggestions, support and confidence in me. My major advisor- Dr. David Allison, for his constructive criticism and positive reinforcement. -
NC RNA Symposium 2019 Fin
Organizing Committee: Co-Chairs of the Organizing Committee: Stacy Horner, Ph.D. (Duke) Robin Stanley, Ph.D. (NIEHS) Members of Organizing Committee: Christopher Holley, M.D, Ph.D. (Duke) Kate Meyer, Ph.D. (Duke) Hashim Al-Hashimi, Ph.D. (Duke) Hala Abou Assi, Ph.D. (Duke) Margot Wuebbens, Ph.D. (Duke) Sponsors: Symposium on RNA Biology XIII: RNA Tool and Target 2019 Meeting Agenda Thursday, October 17th, 2019 Great Hall of the Trent Semans Center, Duke University 12:00 – 1:00 PM Registration (Great Hall) 1:00 – 2:35 PM SESSION I: TRANSLATION FIDELITY Chair: Amanda Hargrove, Duke University 1:00 PM Opening Remarks, Stacy Horner, Duke University 1:10 PM Keynote Lecture: Rachel Green, Johns Hopkins University “Colliding Ribosomes as an integrator of Cytoplasmic Stress Responses” 1:50 PM Yu-Hua Lo, NIEHS “Unraveling the mechanism of substrate processing by the AAA-ATPase Rix7” 2:05 PM Hani Zaher, Washington University “RNA damage, the ribosome and quality control” 2:35 PM Break 3:00 – 5:00 PM SESSION II: RNA PROCESSING Chair: Jimena Giudice, UNC Chapel Hill 3:00 PM Rui Zhao, University of Colorado “A unified mechanism for intron definition, exon definition, and back-splicing” 3:30 PM Adam Black, UNC Chapel Hill “Clathrin heavy chain splice forms differentially affect striated muscle physiology” 3:45 PM Nicholas Conrad, University of Texas Southwestern “Mechanisms regulating S-adenosylmethionine homeostasis through intron detention” 4:15 PM Marcos Morgan, NIEHS “Role of RNA uridylation in germ line differentiation” 4:45 PM Jianguo Huang, -
New Tests 2 Test Updates 4 CPT Code Updates 11 Deleted Tests 11 Diagnostics Update Volume XXI, No
Volume XXI, No. 6 JUNE 2021 MONTHLY TEST UPDATES Diagnostics Update New Tests 2 Test Updates 4 CPT Code Updates 11 Deleted Tests 11 Diagnostics Update Volume XXI, No. 6 | JUNE 2021 New Tests Use Anti-DFS70 antibodies may help identify individuals who do not have an Anti-Carbamylated Protein (CarP) Antibody 520311 ANA-associated Autoimmune Rheumatic Disease (AARD) especially in the absence of significant clinical findings.1 Anti-DFS70 Ab, especially when positive CPT 83516 in isolation (i.e. in the absence of AARD-associated autoantibodies), may Synonyms Anti-CarP antigen antibody; RA marker prevent unnecessary referrals and examinations of ANA-positive individuals.2 Special Instructions This test has not been approved for NY state clients. Limitations This test should be used with clinical findings and other Specimen Serum autoimmune testing; it cannot be used alone to rule out autoimmune disease. Volume 1 mL This test was developed and its performance characteristics determined Minimum Volume 0.5 mL by Labcorp. It has not been cleared or approved by the Food and Drug Container Red-top tube; serum from red-top tube; serum from a gel tube; or Administration. serum gel tube Methodology Enzyme-linked immunosorbent assay (ELISA) Collection Separate serum from cells within one hour of collection. Transfer to a Additional Information Anti-DFS70 antibodies target the dense fine speckled plastic transport tube before shipping. protein of 70 kDa which is identical to Lens Epithelium-Derived Growth Factor Storage Instructions Refrigerate or freeze. or transcription co-activator p75 (LEDGFp75). They are detectable in 2% to 22% Stability of healthy individuals and in less than 1% of patients with AARD are of unknown Temperature Period clinical significance. -
Supplementary Table 1
Supplementary Table 1. 492 genes are unique to 0 h post-heat timepoint. The name, p-value, fold change, location and family of each gene are indicated. Genes were filtered for an absolute value log2 ration 1.5 and a significance value of p ≤ 0.05. Symbol p-value Log Gene Name Location Family Ratio ABCA13 1.87E-02 3.292 ATP-binding cassette, sub-family unknown transporter A (ABC1), member 13 ABCB1 1.93E-02 −1.819 ATP-binding cassette, sub-family Plasma transporter B (MDR/TAP), member 1 Membrane ABCC3 2.83E-02 2.016 ATP-binding cassette, sub-family Plasma transporter C (CFTR/MRP), member 3 Membrane ABHD6 7.79E-03 −2.717 abhydrolase domain containing 6 Cytoplasm enzyme ACAT1 4.10E-02 3.009 acetyl-CoA acetyltransferase 1 Cytoplasm enzyme ACBD4 2.66E-03 1.722 acyl-CoA binding domain unknown other containing 4 ACSL5 1.86E-02 −2.876 acyl-CoA synthetase long-chain Cytoplasm enzyme family member 5 ADAM23 3.33E-02 −3.008 ADAM metallopeptidase domain Plasma peptidase 23 Membrane ADAM29 5.58E-03 3.463 ADAM metallopeptidase domain Plasma peptidase 29 Membrane ADAMTS17 2.67E-04 3.051 ADAM metallopeptidase with Extracellular other thrombospondin type 1 motif, 17 Space ADCYAP1R1 1.20E-02 1.848 adenylate cyclase activating Plasma G-protein polypeptide 1 (pituitary) receptor Membrane coupled type I receptor ADH6 (includes 4.02E-02 −1.845 alcohol dehydrogenase 6 (class Cytoplasm enzyme EG:130) V) AHSA2 1.54E-04 −1.6 AHA1, activator of heat shock unknown other 90kDa protein ATPase homolog 2 (yeast) AK5 3.32E-02 1.658 adenylate kinase 5 Cytoplasm kinase AK7 -
Molecular Evolution in Immune Genes Across the Avian Tree of Life Cambridge.Org/Pao
Parasitology Open Molecular evolution in immune genes across the avian tree of life cambridge.org/pao Diana C. Outlaw1, V. Woody Walstrom1, Haley N. Bodden1, Chuan-yu Hsu2, Mark Arick II2 and Daniel G. Peterson2 Research Article 1Department of Biological Sciences, Mississippi State University, PO Box GY, Mississippi State, MS 39762, USA and Cite this article: Outlaw DC, Walstrom VW, 2Institute for Genomics, Biocomputing & Biotechnology, Mississippi State University, 2 Research Boulevard, Box Bodden HN, Hsu Chuan-yu, Arick II M, Peterson 9627, Starkville, MS 39759, USA DG (2019). Molecular evolution in immune genes across the avian tree of life. Parasitology Open 5, e3, 1–9. https://doi.org/10.1017/ Abstract pao.2019.3 All organisms encounter pathogens, and birds are especially susceptible to infection by mal- Received: 11 July 2018 aria parasites and other haemosporidians. It is important to understand how immune genes, Revised: 22 February 2019 primarily innate immune genes which are the first line of host defense, have evolved across Accepted: 22 February 2019 birds, a highly diverse group of tetrapods. Here, we find that innate immune genes are highly Key words: conserved across the avian tree of life and that although most show evidence of positive or Malaria parasites; haemosporidians; birds; diversifying selection within specific lineages or clades, the number of sites is often propor- molecular evolution; immune genes; innate tionally low in this broader context of putative constraint. Rather, evidence shows a much immunity; bird transcriptome higher level of negative or purifying selection in these innate immune genes – rather than – ’ Author for correspondence: adaptive immune genes which is consistent with birds long coevolutionary history with Diana C. -
Clinical Utility of RNA Sequencing to Resolve Unusual GNE Myopathy with a Novel Promoter Deletion
11. de Seze MP, Rezzouk J, de Seze M, Uzel M, Lavignolle B, Midy D, et al. REFERENCES Does the motor branch of the long head of the triceps brachii arise 1. Hems TE, Mahmood F. Injuries of the terminal branches of the infra- from the radial nerve? An anatomic and electromyographic study. Surg clavicular brachial plexus: patterns of injury, management and out- Radiol Anat 2004;26(6):459–461. come. J Bone Joint Surg Br 2012;94:799–804. 12. Cartwright MS, Passmore LV, Yoon JS, Brown ME, Caress JB, Walker FO. 2. Atef A, El-Tantawy A, Gad H, Hefeda M. Prevalence of associated inju- Cross-sectional area reference values for nerve ultrasonography. Muscle ries after anterior shoulder dislocation: a prospective study. Int Orthop Nerve 2008;37(5):566–571. 2016;40:519–524. 13. Cartwright MS, Shin HW, Passmore LV, Walker FO. Ultrasonographic 3. Mitchell JJ, Chen C, Liechti DJ, Heare A, Chahla J, Bravman JT. Axillary reference values for assessing the normal median nerve in adults. nerve palsy and deltoid muscle atony. JBJS Rev 2017;5(7):e1. J Neuroimaging 2009;19(1):47–51. 4. Brown SA, Doolittle DA, Bohanon CJ, Jayaraj A, Naidu SG, Huettl EA, 14. Zaidman CM, Al-Lozi M, Pestronk A. Peripheral nerve size in normals et al. Quadrilateral space syndrome: the Mayo Clinic experience with a and patients with polyneuropathy: an ultrasound study. Muscle Nerve new classification system and case series. Mayo Clin Proc 2015;90(3): 2009;40(6):960–966. 382–394. 15. Cartwright MS, Mayans DR, Gillson NA, Griffin LP, Walker FO. -
Kb Candidate Region on Chicken Chromosome 12
GENETICS AND GENOMICS Narrowing the wingless-2 mutation to a 227 kb candidate region on chicken chromosome 12 A. E. Webb,∗,2,6 I. A. Youngworth,∗,6 M. Kaya,†,3 C. L. Gitter,∗,4 E. A. O’Hare,∗,5 B. May,∗ H. H. Cheng,† and M. E. Delany∗,1 ∗Department of Animal Science, University of California, Davis 95616; and †USDA-ARS, Avian Disease and Oncology Laboratory, East Lansing, MI 48823 ABSTRACT Wingless-2 (wg-2) is an autosomal re- element. Specifically, the wg-2 mutation was initially cessive mutation in chicken that results in an embry- mapped to a 7 Mb region of chromosome 12 using an onic lethal condition. Affected individuals exhibit a Illumina 3 K SNP array. Subsequent SNP genotyping multisystem syndrome characterized by absent wings, and exon sequencing combined with analysis from im- truncated legs, and craniofacial, kidney, and feather proved genome assemblies narrowed the region of in- malformations. Previously, work focused on phenotype terest to a maximum size of 227 kb. Within this re- description, establishing the autosomal recessive pat- gion, 3 validated and 3 predicted candidate genes are tern of Mendelian inheritance and placing the muta- found, and these are described. The wg-2 mutation is tion on an inbred genetic background to create the a valuable resource to contribute to an improved un- congenic line UCD Wingless-2.331. The research de- derstanding of the developmental pathways involved in scribed in this paper employed the complementary tools chicken and avian limb development as well as serving of breeding, genetics, and genomics to map the chromo- as a model for human development, as the resulting somal location of the mutation and successively nar- syndrome shares features with human congenital disor- row the size of the region for analysis of the causative ders. -
Brain Morphometry in Pontocerebellar Hypoplasia Type 2
Ekert et al. Orphanet Journal of Rare Diseases (2016) 11:100 DOI 10.1186/s13023-016-0481-4 RESEARCH Open Access Brain morphometry in Pontocerebellar Hypoplasia type 2 Kaspar Ekert1†, Samuel Groeschel1†, Iciar Sánchez-Albisua1*, Saskia Frölich1, Andrea Dieckmann2, Corinna Engel1 and Ingeborg Krägeloh-Mann1 Abstract Background: Pontocerebellar hypoplasia type 2 (PCH2) is caused by a defect in the TSEN54-gene and leads to severe and early disruption of brain development, especially of cerebellum and pons. The aim of this work was to quantify the infra- and supratentorial brain growth during postnatal brain development in children with PCH2. Methods: MRI data of 24 children with PCH2 (age 0.02–17 years., 13 females) were analysed volumetrically and compared to images of 24 typically developing age- and gender-matched children. All children with PCH2 had the homozygous p.A307S mutation in the TSEN54-gene. In 5 patients follow-up MRI investigations were available. Images of the children with PCH2 were available either on film (n = 12) or in digital format (n = 21). Images on film were digitalized. Brain structures were manually masked and further adjusted semi-automatically using intensity thresholding to exclude CSF. Volumes of cerebellum, brain stem, and pons were measured, as well as supratentorial brain and frontal lobe volume. For validation of the method part of the digital images were processed as images on film. In addition, intra- and inter-rater variabilities were tested. Results: Children with PCH2 showed reduced volumes of all measured brain structures compared to healthy controls. Severely hypoplastic cerebellum, pons and brain stem only slightly increased in size postnatally. -
High-Resolution Annotation of the Mouse Preimplantation Embryo
ARTICLE https://doi.org/10.1038/s41467-020-16444-w OPEN High-resolution annotation of the mouse preimplantation embryo transcriptome using long-read sequencing ✉ Yunbo Qiao1,8 , Chao Ren2,8, Shisheng Huang3,4,8, Jie Yuan2,8, Xingchen Liu4,5,8, Jiao Fan6, Jianxiang Lin1, ✉ ✉ Susu Wu1, Qiuzhen Chen2,7, Xiaochen Bo2, Xiangyang Li3,4, Xingxu Huang3,4, Zhen Liu5 & Wenjie Shu 2 1234567890():,; The transcriptome of the preimplantation mouse embryo has been previously annotated by short-read sequencing, with limited coverage and accuracy. Here we utilize a low-cell number transcriptome based on the Smart-seq2 method to perform long-read sequencing. Our analysis describes additional novel transcripts and complexity of the preimplantation tran- scriptome, identifying 2280 potential novel transcripts from previously unannotated loci and 6289 novel splicing isoforms from previously annotated genes. Notably, these novel tran- scripts and isoforms with transcription start sites are enriched for an active promoter modification, H3K4me3. Moreover, we generate a more complete and precise transcriptome by combining long-read and short-read data during early embryogenesis. Based on this approach, we identify a previously undescribed isoform of Kdm4dl with a modified mRNA reading frame and a novel noncoding gene designated XLOC_004958. Depletion of Kdm4dl or XLOC_004958 led to abnormal blastocyst development. Thus, our data provide a high- resolution and more precise transcriptome during preimplantation mouse embryogenesis. 1 Precise Genome Engineering Center, School of Life Sciences, Guangzhou University, 510006 Guangzhou, China. 2 Department of Biotechnology, Beijing Institute of Radiation Medicine, 100850 Beijing, China. 3 School of Life Science and Technology, ShanghaiTech University, 201210 Shanghai, China. -
Platform Abstracts
American Society of Human Genetics 65th Annual Meeting October 6–10, 2015 Baltimore, MD PLATFORM ABSTRACTS Wednesday, October 7, 9:50-10:30am Abstract #’s Friday, October 9, 2:15-4:15 pm: Concurrent Platform Session D: 4. Featured Plenary Abstract Session I Hall F #1-#2 46. Hen’s Teeth? Rare Variants and Common Disease Ballroom I #195-#202 Wednesday, October 7, 2:30-4:30pm Concurrent Platform Session A: 47. The Zen of Gene and Variant 15. Update on Breast and Prostate Assessment Ballroom III #203-#210 Cancer Genetics Ballroom I #3-#10 48. New Genes and Mechanisms in 16. Switching on to Regulatory Variation Ballroom III #11-#18 Developmental Disorders and 17. Shedding Light into the Dark: From Intellectual Disabilities Room 307 #211-#218 Lung Disease to Autoimmune Disease Room 307 #19-#26 49. Statistical Genetics: Networks, 18. Addressing the Difficult Regions of Pathways, and Expression Room 309 #219-#226 the Genome Room 309 #27-#34 50. Going Platinum: Building a Better 19. Statistical Genetics: Complex Genome Room 316 #227-#234 Phenotypes, Complex Solutions Room 316 #35-#42 51. Cancer Genetic Mechanisms Room 318/321 #235-#242 20. Think Globally, Act Locally: Copy 52. Target Practice: Therapy for Genetic Hilton Hotel Number Variation Room 318/321 #43-#50 Diseases Ballroom 1 #243-#250 21. Recent Advances in the Genetic Basis 53. The Real World: Translating Hilton Hotel of Neuromuscular and Other Hilton Hotel Sequencing into the Clinic Ballroom 4 #251-#258 Neurodegenerative Phenotypes Ballroom 1 #51-#58 22. Neuropsychiatric Diseases of Hilton Hotel Friday, October 9, 4:30-6:30pm Concurrent Platform Session E: Childhood Ballroom 4 #59-#66 54.