MC38 CT26 MB49 MC38 Tumor Cells After in Vitro Dinaciclib Treatemnt for 24H Or 2H Pulse
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Strategies to Increase ß-Cell Mass Expansion
This electronic thesis or dissertation has been downloaded from the King’s Research Portal at https://kclpure.kcl.ac.uk/portal/ Strategies to increase -cell mass expansion Drynda, Robert Lech Awarding institution: King's College London The copyright of this thesis rests with the author and no quotation from it or information derived from it may be published without proper acknowledgement. END USER LICENCE AGREEMENT Unless another licence is stated on the immediately following page this work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International licence. https://creativecommons.org/licenses/by-nc-nd/4.0/ You are free to copy, distribute and transmit the work Under the following conditions: Attribution: You must attribute the work in the manner specified by the author (but not in any way that suggests that they endorse you or your use of the work). Non Commercial: You may not use this work for commercial purposes. No Derivative Works - You may not alter, transform, or build upon this work. Any of these conditions can be waived if you receive permission from the author. Your fair dealings and other rights are in no way affected by the above. Take down policy If you believe that this document breaches copyright please contact [email protected] providing details, and we will remove access to the work immediately and investigate your claim. Download date: 02. Oct. 2021 Strategies to increase β-cell mass expansion A thesis submitted by Robert Drynda For the degree of Doctor of Philosophy from King’s College London Diabetes Research Group Division of Diabetes & Nutritional Sciences Faculty of Life Sciences & Medicine King’s College London 2017 Table of contents Table of contents ................................................................................................. -
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. -
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). -
IFI35 Is Involved in the Regulation of the Radiosensitivity of Colorectal Cancer Cells
IFI35 is involved in the regulation of the radiosensitivity of colorectal cancer cells Yan Hu The First Peoples of Hospital of Taicang Bing Wang The First Peoples of Hospital of Taicang Ke Yi The First Peoples of Hospital of Taicang Qingjun Lei First Peoples Hospital of Neijiang Guanghui Wang Soochow University Xiaohui Xu ( [email protected] ) The First People's Hospital of Taicang, Taicang Aliated Hospital of Soochow University https://orcid.org/0000-0002-5724-0799 Primary research Keywords: colorectal cancer, IRF1, IFI35, radiosensitivity, luciferase reporter assay Posted Date: May 3rd, 2021 DOI: https://doi.org/10.21203/rs.3.rs-459951/v1 License: This work is licensed under a Creative Commons Attribution 4.0 International License. Read Full License Page 1/20 Abstract Background: Interferon regulatory factor-1 (IRF1) affects the proliferation of colorectal cancer (CRC). Recombinant interferon inducible protein 35 (IFI35) participates in immune regulation and cell proliferation. The aim of the study was to examine whether IRF1 affects the radiation sensitivity of CRC by regulating IFI35. Methods: CCL244 and SW480 cells were divided into ve groups: blank control, IFI35 upregulation, IFI35 upregulation control, IFI35 downregulation, and IFI35 downregulation control. All groups were treated with X-rays (6 Gy). IFI35 activation by IRF1 was detected by luciferase reporter assay. The GEPIA database was used to examine IRF1 and IFI35 in CRC. The cells were characterized using CCK-8, EdU, cell cycle, clone formation, ow cytometry, reactive oxygen species (ROS), and mitochondrial membrane potential. Nude mouse animal models were used to detect the effect of IFI35 on CRC. -
The Significance of NK1 Receptor Ligands and Their Application In
pharmaceutics Review The Significance of NK1 Receptor Ligands and Their Application in Targeted Radionuclide Tumour Therapy Agnieszka Majkowska-Pilip * , Paweł Krzysztof Halik and Ewa Gniazdowska Centre of Radiochemistry and Nuclear Chemistry, Institute of Nuclear Chemistry and Technology, Dorodna 16, 03-195 Warsaw, Poland * Correspondence: [email protected]; Tel.: +48-22-504-10-11 Received: 7 June 2019; Accepted: 16 August 2019; Published: 1 September 2019 Abstract: To date, our understanding of the Substance P (SP) and neurokinin 1 receptor (NK1R) system shows intricate relations between human physiology and disease occurrence or progression. Within the oncological field, overexpression of NK1R and this SP/NK1R system have been implicated in cancer cell progression and poor overall prognosis. This review focuses on providing an update on the current state of knowledge around the wide spectrum of NK1R ligands and applications of radioligands as radiopharmaceuticals. In this review, data concerning both the chemical and biological aspects of peptide and nonpeptide ligands as agonists or antagonists in classical and nuclear medicine, are presented and discussed. However, the research presented here is primarily focused on NK1R nonpeptide antagonistic ligands and the potential application of SP/NK1R system in targeted radionuclide tumour therapy. Keywords: neurokinin 1 receptor; Substance P; SP analogues; NK1R antagonists; targeted therapy; radioligands; tumour therapy; PET imaging 1. Introduction Neurokinin 1 receptor (NK1R), also known as tachykinin receptor 1 (TACR1), belongs to the tachykinin receptor subfamily of G protein-coupled receptors (GPCRs), also called seven-transmembrane domain receptors (Figure1)[ 1–3]. The human NK1 receptor structure [4] is available in Protein Data Bank (6E59). -
Transcriptomic and Proteomic Dynamics During Metamorphosis of Pacific Oyster Crassostrea Gigas Fei Xu1,2*, Guofan Zhang1,2
bioRxiv preprint doi: https://doi.org/10.1101/2020.03.25.004614; this version posted March 25, 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. Transcriptomic and proteomic dynamics during metamorphosis of Pacific oyster Crassostrea gigas Fei Xu1,2*, Guofan Zhang1,2 1 Key Laboratory of Experimental Marine Biology, Center for Mega-Science, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071, China 2 Laboratory for Marine Biology and Biotechnology, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China *Authors for correspondence: [email protected] bioRxiv preprint doi: https://doi.org/10.1101/2020.03.25.004614; this version posted March 25, 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. Abstract Many marine invertebrate phyla are characterized by indirect development. These animals transit from planktonic larvae to benthic adults via settlement and metamorphosis, which contributes to the adaption to the marine environment. Studying the biological process of metamorphosis is thus a key to understand the origin and evolution of indirect development. Numerous studies have been conducted on the relationships of metamorphosis with the marine environment, microorganisms, as well as the neurohormones, however, little is known on the gene regulation network (GRN) dynamics during metamorphosis. -
Cardiac SARS‐Cov‐2 Infection Is Associated with Distinct Tran‐ Scriptomic Changes Within the Heart
Cardiac SARS‐CoV‐2 infection is associated with distinct tran‐ scriptomic changes within the heart Diana Lindner, PhD*1,2, Hanna Bräuninger, MS*1,2, Bastian Stoffers, MS1,2, Antonia Fitzek, MD3, Kira Meißner3, Ganna Aleshcheva, PhD4, Michaela Schweizer, PhD5, Jessica Weimann, MS1, Björn Rotter, PhD9, Svenja Warnke, BSc1, Carolin Edler, MD3, Fabian Braun, MD8, Kevin Roedl, MD10, Katharina Scher‐ schel, PhD1,12,13, Felicitas Escher, MD4,6,7, Stefan Kluge, MD10, Tobias B. Huber, MD8, Benjamin Ondruschka, MD3, Heinz‐Peter‐Schultheiss, MD4, Paulus Kirchhof, MD1,2,11, Stefan Blankenberg, MD1,2, Klaus Püschel, MD3, Dirk Westermann, MD1,2 1 Department of Cardiology, University Heart and Vascular Center Hamburg, Germany. 2 DZHK (German Center for Cardiovascular Research), partner site Hamburg/Kiel/Lübeck. 3 Institute of Legal Medicine, University Medical Center Hamburg‐Eppendorf, Germany. 4 Institute for Cardiac Diagnostics and Therapy, Berlin, Germany. 5 Department of Electron Microscopy, Center for Molecular Neurobiology, University Medical Center Hamburg‐Eppendorf, Germany. 6 Department of Cardiology, Charité‐Universitaetsmedizin, Berlin, Germany. 7 DZHK (German Centre for Cardiovascular Research), partner site Berlin, Germany. 8 III. Department of Medicine, University Medical Center Hamburg‐Eppendorf, Germany. 9 GenXPro GmbH, Frankfurter Innovationszentrum, Biotechnologie (FIZ), Frankfurt am Main, Germany. 10 Department of Intensive Care Medicine, University Medical Center Hamburg‐Eppendorf, Germany. 11 Institute of Cardiovascular Sciences, -
Table SII. Significantly Differentially Expressed Mrnas of GSE23558 Data Series with the Criteria of Adjusted P<0.05 And
Table SII. Significantly differentially expressed mRNAs of GSE23558 data series with the criteria of adjusted P<0.05 and logFC>1.5. Probe ID Adjusted P-value logFC Gene symbol Gene title A_23_P157793 1.52x10-5 6.91 CA9 carbonic anhydrase 9 A_23_P161698 1.14x10-4 5.86 MMP3 matrix metallopeptidase 3 A_23_P25150 1.49x10-9 5.67 HOXC9 homeobox C9 A_23_P13094 3.26x10-4 5.56 MMP10 matrix metallopeptidase 10 A_23_P48570 2.36x10-5 5.48 DHRS2 dehydrogenase A_23_P125278 3.03x10-3 5.40 CXCL11 C-X-C motif chemokine ligand 11 A_23_P321501 1.63x10-5 5.38 DHRS2 dehydrogenase A_23_P431388 2.27x10-6 5.33 SPOCD1 SPOC domain containing 1 A_24_P20607 5.13x10-4 5.32 CXCL11 C-X-C motif chemokine ligand 11 A_24_P11061 3.70x10-3 5.30 CSAG1 chondrosarcoma associated gene 1 A_23_P87700 1.03x10-4 5.25 MFAP5 microfibrillar associated protein 5 A_23_P150979 1.81x10-2 5.25 MUCL1 mucin like 1 A_23_P1691 2.71x10-8 5.12 MMP1 matrix metallopeptidase 1 A_23_P350005 2.53x10-4 5.12 TRIML2 tripartite motif family like 2 A_24_P303091 1.23x10-3 4.99 CXCL10 C-X-C motif chemokine ligand 10 A_24_P923612 1.60x10-5 4.95 PTHLH parathyroid hormone like hormone A_23_P7313 6.03x10-5 4.94 SPP1 secreted phosphoprotein 1 A_23_P122924 2.45x10-8 4.93 INHBA inhibin A subunit A_32_P155460 6.56x10-3 4.91 PICSAR P38 inhibited cutaneous squamous cell carcinoma associated lincRNA A_24_P686965 8.75x10-7 4.82 SH2D5 SH2 domain containing 5 A_23_P105475 7.74x10-3 4.70 SLCO1B3 solute carrier organic anion transporter family member 1B3 A_24_P85099 4.82x10-5 4.67 HMGA2 high mobility group AT-hook 2 A_24_P101651 -
Drosophila and Human Transcriptomic Data Mining Provides Evidence for Therapeutic
Drosophila and human transcriptomic data mining provides evidence for therapeutic mechanism of pentylenetetrazole in Down syndrome Author Abhay Sharma Institute of Genomics and Integrative Biology Council of Scientific and Industrial Research Delhi University Campus, Mall Road Delhi 110007, India Tel: +91-11-27666156, Fax: +91-11-27662407 Email: [email protected] Nature Precedings : hdl:10101/npre.2010.4330.1 Posted 5 Apr 2010 Running head: Pentylenetetrazole mechanism in Down syndrome 1 Abstract Pentylenetetrazole (PTZ) has recently been found to ameliorate cognitive impairment in rodent models of Down syndrome (DS). The mechanism underlying PTZ’s therapeutic effect is however not clear. Microarray profiling has previously reported differential expression of genes in DS. No mammalian transcriptomic data on PTZ treatment however exists. Nevertheless, a Drosophila model inspired by rodent models of PTZ induced kindling plasticity has recently been described. Microarray profiling has shown PTZ’s downregulatory effect on gene expression in fly heads. In a comparative transcriptomics approach, I have analyzed the available microarray data in order to identify potential mechanism of PTZ action in DS. I find that transcriptomic correlates of chronic PTZ in Drosophila and DS counteract each other. A significant enrichment is observed between PTZ downregulated and DS upregulated genes, and a significant depletion between PTZ downregulated and DS dowwnregulated genes. Further, the common genes in PTZ Nature Precedings : hdl:10101/npre.2010.4330.1 Posted 5 Apr 2010 downregulated and DS upregulated sets show enrichment for MAP kinase pathway. My analysis suggests that downregulation of MAP kinase pathway may mediate therapeutic effect of PTZ in DS. Existing evidence implicating MAP kinase pathway in DS supports this observation. -
Supplementary Table 1A. Genes Significantly Altered in A4573 ESFT
Supplementary Table 1A. Genes significantly altered in A4573 ESFT cells following BMI-1knockdown genesymbol genedescription siControl siBMI1 FC Direction P-value AASS aminoadipate-semialdehyde synthase | tetra-peptide repeat homeobox-like6.68 7.24 1.5 Up 0.007 ABCA2 ATP-binding cassette, sub-family A (ABC1), member 2 | neural5.44 proliferation,6.3 differentiation1.8 and Upcontrol, 1 0.006 ABHD4 abhydrolase domain containing 4 7.51 6.69 1.8 Down 0.002 ACACA acetyl-Coenzyme A carboxylase alpha | peroxiredoxin 5 | similar6.2 to High mobility7.26 group2.1 protein UpB1 (High mobility0.009 group protein 1) (HMG-1) (Amphoterin) (Heparin-binding protein p30) | Coenzyme A synthase ACAD9 acyl-Coenzyme A dehydrogenase family, member 9 9.25 8.59 1.6 Down 0.008 ACBD3 acyl-Coenzyme A binding domain containing 3 7.89 8.53 1.6 Up 0.008 ACCN2 amiloride-sensitive cation channel 2, neuronal 5.47 6.28 1.8 Up 0.005 ACIN1 apoptotic chromatin condensation inducer 1 7.15 7.79 1.6 Up 0.008 ACPL2 acid phosphatase-like 2 6.04 7.6 2.9 Up 0.000 ACSL4 acyl-CoA synthetase long-chain family member 4 6.72 5.8 1.9 Down 0.001 ACTA2 actin, alpha 2, smooth muscle, aorta 9.18 8.44 1.7 Down 0.003 ACYP1 acylphosphatase 1, erythrocyte (common) type 7.09 7.66 1.5 Up 0.009 ADA adenosine deaminase 6.34 7.1 1.7 Up 0.009 ADAL adenosine deaminase-like 7.88 6.89 2.0 Down 0.006 ADAMTS1 ADAM metallopeptidase with thrombospondin type 1 motif, 1 6.57 7.65 2.1 Up 0.000 ADARB1 adenosine deaminase, RNA-specific, B1 (RED1 homolog rat) 6.49 7.13 1.6 Up 0.008 ADCY9 adenylate cyclase 9 6.5 7.18 -
Engineered Type 1 Regulatory T Cells Designed for Clinical Use Kill Primary
ARTICLE Acute Myeloid Leukemia Engineered type 1 regulatory T cells designed Ferrata Storti Foundation for clinical use kill primary pediatric acute myeloid leukemia cells Brandon Cieniewicz,1* Molly Javier Uyeda,1,2* Ping (Pauline) Chen,1 Ece Canan Sayitoglu,1 Jeffrey Mao-Hwa Liu,1 Grazia Andolfi,3 Katharine Greenthal,1 Alice Bertaina,1,4 Silvia Gregori,3 Rosa Bacchetta,1,4 Norman James Lacayo,1 Alma-Martina Cepika1,4# and Maria Grazia Roncarolo1,2,4# Haematologica 2021 Volume 106(10):2588-2597 1Department of Pediatrics, Division of Stem Cell Transplantation and Regenerative Medicine, Stanford School of Medicine, Stanford, CA, USA; 2Stanford Institute for Stem Cell Biology and Regenerative Medicine, Stanford School of Medicine, Stanford, CA, USA; 3San Raffaele Telethon Institute for Gene Therapy, Milan, Italy and 4Center for Definitive and Curative Medicine, Stanford School of Medicine, Stanford, CA, USA *BC and MJU contributed equally as co-first authors #AMC and MGR contributed equally as co-senior authors ABSTRACT ype 1 regulatory (Tr1) T cells induced by enforced expression of interleukin-10 (LV-10) are being developed as a novel treatment for Tchemotherapy-resistant myeloid leukemias. In vivo, LV-10 cells do not cause graft-versus-host disease while mediating graft-versus-leukemia effect against adult acute myeloid leukemia (AML). Since pediatric AML (pAML) and adult AML are different on a genetic and epigenetic level, we investigate herein whether LV-10 cells also efficiently kill pAML cells. We show that the majority of primary pAML are killed by LV-10 cells, with different levels of sensitivity to killing. Transcriptionally, pAML sensitive to LV-10 killing expressed a myeloid maturation signature. -
Table S2 Differentially Expressed Genes Between Oncogene-Introduced Wild-Type and Atf4-/- Cells
Table S2 Differentially expressed genes between oncogene-introduced wild-type and Atf4-/- cells GeneSymbol Gene Name Zscore ratio Genbank Accession Cfd complement factor D 12.714 25036.184 NM_013459 Saa3 serum amyloid A 3 11.189 7437.106 NM_011315 Hp haptoglobin 10.836 5613.776 NM_017370 Prl2c5 prolactin family 2, subfamily c, member 5 7.688 92.732 NM_181852 Cidec cell death-inducing DFFA-like effector c 7.611 982.214 NM_178373 Nrap nebulin-related anchoring protein 7.569 945.372 NM_008733 Adipoq adiponectin, C1Q and collagen domain containing 7.563 940.547 NM_009605 C3 complement component 3 7.310 339.287 NM_009778 Trim12a tripartite motif-containing 12A 7.214 685.215 NM_023835 Apoc1 apolipoprotein C-I 7.026 270.661 NM_007469 Saa1 serum amyloid A 1 6.880 77.790 NM_009117 Lcn2 lipocalin 2 6.658 201.906 NM_008491 Ddx3y DEAD (Asp-Glu-Ala-Asp) box polypeptide 3, Y-linked 6.620 400.047 NM_012008 Pxt1 peroxisomal, testis specific 1 6.470 349.122 NM_153390 Dll4 delta-like 4 6.455 344.263 NM_019454 Lrg1 leucine-rich alpha-2-glycoprotein 1 6.398 326.917 NM_029796 Dcn decorin 6.335 41.800 NM_007833 Rarres2 retinoic acid receptor responder (tazarotene induced) 2 5.985 118.167 NM_027852 Ccl2 chemokine (C-C motif) ligand 2 5.980 12.764 NM_011333 Cyp2f2 cytochrome P450, family 2, subfamily f, polypeptide 2 5.944 584.071 NM_007817 Ccl11 chemokine (C-C motif) ligand 11 5.936 579.003 NM_011330 Plin1 perilipin 1 5.846 198.287 NM_175640 Gsta3 glutathione S-transferase, alpha 3 5.842 105.447 NM_001077353 Barx2 BarH-like homeobox 2 5.836 40.178 NM_013800