Complement Activation in Peritoneal Dialysis–Induced Arteriolopathy
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DEPs in osteosarcoma cells comparing to osteoblastic cells Biological Process Protein Percentage of Hits metabolic process (GO:0008152) 29.3 29.3% cellular process (GO:0009987) 20.2 20.2% localization (GO:0051179) 9.4 9.4% biological regulation (GO:0065007) 8 8.0% developmental process (GO:0032502) 7.8 7.8% response to stimulus (GO:0050896) 5.6 5.6% cellular component organization (GO:0071840) 5.6 5.6% multicellular organismal process (GO:0032501) 4.4 4.4% immune system process (GO:0002376) 4.2 4.2% biological adhesion (GO:0022610) 2.7 2.7% apoptotic process (GO:0006915) 1.6 1.6% reproduction (GO:0000003) 0.8 0.8% locomotion (GO:0040011) 0.4 0.4% cell killing (GO:0001906) 0.1 0.1% 100.1% Genes 2179Hits 3870 biological adhesion apoptotic process … reproduction (GO:0000003) , 0.8% (GO:0022610) , 2.7% locomotion (GO:0040011) ,… immune system process cell killing (GO:0001906) , 0.1% (GO:0002376) , 4.2% multicellular organismal process (GO:0032501) , metabolic process 4.4% (GO:0008152) , 29.3% cellular component organization (GO:0071840) , 5.6% response to stimulus (GO:0050896), 5.6% developmental process (GO:0032502) , 7.8% biological regulation (GO:0065007) , 8.0% cellular process (GO:0009987) , 20.2% localization (GO:0051179) , 9. -
(12) Patent Application Publication (10) Pub. No.: US 2015/0337275 A1 Pearlman Et Al
US 20150337275A1 (19) United States (12) Patent Application Publication (10) Pub. No.: US 2015/0337275 A1 Pearlman et al. (43) Pub. Date: Nov. 26, 2015 (54) BOCONVERSION PROCESS FOR Publication Classification PRODUCING NYLON-7, NYLON-7.7 AND POLYESTERS (51) Int. C. CI2N 9/10 (2006.01) (71) Applicant: INVISTATECHNOLOGIES S.a.r.l., CI2P 7/40 (2006.01) St. Gallen (CH) CI2PI3/00 (2006.01) CI2PI3/04 (2006.01) (72) Inventors: Paul S. Pearlman, Thornton, PA (US); CI2P 13/02 (2006.01) Changlin Chen, Cleveland (GB); CI2N 9/16 (2006.01) Adriana L. Botes, Cleveland (GB); Alex CI2N 9/02 (2006.01) Van Eck Conradie, Cleveland (GB); CI2N 9/00 (2006.01) Benjamin D. Herzog, Wichita, KS (US) CI2P 7/44 (2006.01) CI2P I 7/10 (2006.01) (73) Assignee: INVISTATECHNOLOGIES S.a.r.l., (52) U.S. C. St. Gallen (CH) CPC. CI2N 9/13 (2013.01); C12P 7/44 (2013.01); CI2P 7/40 (2013.01); CI2P 13/005 (2013.01); (21) Appl. No.: 14/367,484 CI2P 17/10 (2013.01); CI2P 13/02 (2013.01); CI2N 9/16 (2013.01); CI2N 9/0008 (2013.01); (22) PCT Fled: Dec. 21, 2012 CI2N 9/93 (2013.01); CI2P I3/04 (2013.01); PCT NO.: PCT/US2012/071.472 CI2P 13/001 (2013.01); C12Y 102/0105 (86) (2013.01) S371 (c)(1), (2) Date: Jun. 20, 2014 (57) ABSTRACT Embodiments of the present invention relate to methods for Related U.S. Application Data the biosynthesis of di- or trifunctional C7 alkanes in the (60) Provisional application No. -
Cell Death Via Lipid Peroxidation and Protein Aggregation Diseases
biology Review Cell Death via Lipid Peroxidation and Protein Aggregation Diseases Katsuya Iuchi * , Tomoka Takai and Hisashi Hisatomi Department of Materials and Life Science, Faculty of Science and Technology, Seikei University, 3-3-1 Kichijojikitamachi, Musashino-shi, Tokyo 180-8633, Japan; [email protected] (T.T.); [email protected] (H.H.) * Correspondence: [email protected] or [email protected]; Tel.: +81-422-37-3523 Simple Summary: It is essential for cellular homeostasis that biomolecules, such as DNA, proteins, and lipids, function properly. Disturbance of redox homeostasis produces aberrant biomolecules, including oxidized lipids and misfolded proteins, which increase in cells. Aberrant biomolecules are removed by excellent cellular clearance systems. However, when excess aberrant biomolecules remain in the cell, they disrupt organelle and cellular functions, leading to cell death. These aberrant molecules aggregate and cause apoptotic and non-apoptotic cell death, leading to various protein aggregation diseases. Thus, we investigated the cell-death cross-linking between lipid peroxidation and protein aggregation. Abstract: Lipid peroxidation of cellular membranes is a complicated cellular event, and it is both the cause and result of various diseases, such as ischemia-reperfusion injury, neurodegenerative diseases, and atherosclerosis. Lipid peroxidation causes non-apoptotic cell death, which is associated with cell fate determination: survival or cell death. During the radical chain reaction of lipid peroxidation, Citation: Iuchi, K.; Takai, T.; various oxidized lipid products accumulate in cells, followed by organelle dysfunction and the Hisatomi, H. Cell Death via Lipid induction of non-apoptotic cell death. Highly reactive oxidized products from unsaturated fatty acids Peroxidation and Protein are detected under pathological conditions. -
Whole-Genome Microarray Detects Deletions and Loss of Heterozygosity of Chromosome 3 Occurring Exclusively in Metastasizing Uveal Melanoma
Anatomy and Pathology Whole-Genome Microarray Detects Deletions and Loss of Heterozygosity of Chromosome 3 Occurring Exclusively in Metastasizing Uveal Melanoma Sarah L. Lake,1 Sarah E. Coupland,1 Azzam F. G. Taktak,2 and Bertil E. Damato3 PURPOSE. To detect deletions and loss of heterozygosity of disease is fatal in 92% of patients within 2 years of diagnosis. chromosome 3 in a rare subset of fatal, disomy 3 uveal mela- Clinical and histopathologic risk factors for UM metastasis noma (UM), undetectable by fluorescence in situ hybridization include large basal tumor diameter (LBD), ciliary body involve- (FISH). ment, epithelioid cytomorphology, extracellular matrix peri- ϩ ETHODS odic acid-Schiff-positive (PAS ) loops, and high mitotic M . Multiplex ligation-dependent probe amplification 3,4 5 (MLPA) with the P027 UM assay was performed on formalin- count. Prescher et al. showed that a nonrandom genetic fixed, paraffin-embedded (FFPE) whole tumor sections from 19 change, monosomy 3, correlates strongly with metastatic death, and the correlation has since been confirmed by several disomy 3 metastasizing UMs. Whole-genome microarray analy- 3,6–10 ses using a single-nucleotide polymorphism microarray (aSNP) groups. Consequently, fluorescence in situ hybridization were performed on frozen tissue samples from four fatal dis- (FISH) detection of chromosome 3 using a centromeric probe omy 3 metastasizing UMs and three disomy 3 tumors with Ͼ5 became routine practice for UM prognostication; however, 5% years’ metastasis-free survival. to 20% of disomy 3 UM patients unexpectedly develop metas- tases.11 Attempts have therefore been made to identify the RESULTS. Two metastasizing UMs that had been classified as minimal region(s) of deletion on chromosome 3.12–15 Despite disomy 3 by FISH analysis of a small tumor sample were found these studies, little progress has been made in defining the key on MLPA analysis to show monosomy 3. -
Universidad Nacional Autónoma De México Plan De Estudios Combinados En Medicina Instituto Nacional De Medicina Genómica
UNIVERSIDAD NACIONAL AUTÓNOMA DE MÉXICO PLAN DE ESTUDIOS COMBINADOS EN MEDICINA INSTITUTO NACIONAL DE MEDICINA GENÓMICA ESTUDIO POST-MORTEM DE LAS ALTERACIONES EN LA EXPRESIÓN DE RNA EN EL CEREBRO DE PACIENTES SUICIDAS TESIS QUE PARA OPTAR POR EL GRADO DE DOCTORA EN MEDICINA PRESENTA: BRENDA CABRERA MENDOZA DIRECTOR DE TESIS: DR. JOSÉ HUMBERTO NICOLINI SÁNCHEZ INSTITUTO NACIONAL DE MEDICINA GENÓMICA COMITÉ TUTOR: DRA. MARTHA PATRICIA OSTROSKY-SHEJET INSTITUTO DE INVESTIGACIONES BIOMÉDICAS DR. DAVID COLIN GLAHN ESCUELA DE MEDICINA DE HARVARD Ciudad Universitaria, CD. MX., diciembre de 2020 TABLA DE CONTENIDOS Resumen ........................................................................................................................................................................ 1 Abstract .......................................................................................................................................................................... 2 Definición y epidemiología del suicidio ............................................................................................................ 3 Epidemiología global del suicidio ..................................................................................................................... 5 Epidemiología del suicidio en América ........................................................................................................... 8 Epidemiología del suicidio en México ............................................................................................................10 -
Supplemental Table S1
Entrez Gene Symbol Gene Name Affymetrix EST Glomchip SAGE Stanford Literature HPA confirmed Gene ID Profiling profiling Profiling Profiling array profiling confirmed 1 2 A2M alpha-2-macroglobulin 0 0 0 1 0 2 10347 ABCA7 ATP-binding cassette, sub-family A (ABC1), member 7 1 0 0 0 0 3 10350 ABCA9 ATP-binding cassette, sub-family A (ABC1), member 9 1 0 0 0 0 4 10057 ABCC5 ATP-binding cassette, sub-family C (CFTR/MRP), member 5 1 0 0 0 0 5 10060 ABCC9 ATP-binding cassette, sub-family C (CFTR/MRP), member 9 1 0 0 0 0 6 79575 ABHD8 abhydrolase domain containing 8 1 0 0 0 0 7 51225 ABI3 ABI gene family, member 3 1 0 1 0 0 8 29 ABR active BCR-related gene 1 0 0 0 0 9 25841 ABTB2 ankyrin repeat and BTB (POZ) domain containing 2 1 0 1 0 0 10 30 ACAA1 acetyl-Coenzyme A acyltransferase 1 (peroxisomal 3-oxoacyl-Coenzyme A thiol 0 1 0 0 0 11 43 ACHE acetylcholinesterase (Yt blood group) 1 0 0 0 0 12 58 ACTA1 actin, alpha 1, skeletal muscle 0 1 0 0 0 13 60 ACTB actin, beta 01000 1 14 71 ACTG1 actin, gamma 1 0 1 0 0 0 15 81 ACTN4 actinin, alpha 4 0 0 1 1 1 10700177 16 10096 ACTR3 ARP3 actin-related protein 3 homolog (yeast) 0 1 0 0 0 17 94 ACVRL1 activin A receptor type II-like 1 1 0 1 0 0 18 8038 ADAM12 ADAM metallopeptidase domain 12 (meltrin alpha) 1 0 0 0 0 19 8751 ADAM15 ADAM metallopeptidase domain 15 (metargidin) 1 0 0 0 0 20 8728 ADAM19 ADAM metallopeptidase domain 19 (meltrin beta) 1 0 0 0 0 21 81792 ADAMTS12 ADAM metallopeptidase with thrombospondin type 1 motif, 12 1 0 0 0 0 22 9507 ADAMTS4 ADAM metallopeptidase with thrombospondin type 1 -
Acetyl-Coa Synthetase 3 Promotes Bladder Cancer Cell Growth Under Metabolic Stress Jianhao Zhang1, Hongjian Duan1, Zhipeng Feng1,Xinweihan1 and Chaohui Gu2
Zhang et al. Oncogenesis (2020) 9:46 https://doi.org/10.1038/s41389-020-0230-3 Oncogenesis ARTICLE Open Access Acetyl-CoA synthetase 3 promotes bladder cancer cell growth under metabolic stress Jianhao Zhang1, Hongjian Duan1, Zhipeng Feng1,XinweiHan1 and Chaohui Gu2 Abstract Cancer cells adapt to nutrient-deprived tumor microenvironment during progression via regulating the level and function of metabolic enzymes. Acetyl-coenzyme A (AcCoA) is a key metabolic intermediate that is crucial for cancer cell metabolism, especially under metabolic stress. It is of special significance to decipher the role acetyl-CoA synthetase short chain family (ACSS) in cancer cells confronting metabolic stress. Here we analyzed the generation of lipogenic AcCoA in bladder cancer cells under metabolic stress and found that in bladder urothelial carcinoma (BLCA) cells, the proportion of lipogenic AcCoA generated from glucose were largely reduced under metabolic stress. Our results revealed that ACSS3 was responsible for lipogenic AcCoA synthesis in BLCA cells under metabolic stress. Interestingly, we found that ACSS3 was required for acetate utilization and histone acetylation. Moreover, our data illustrated that ACSS3 promoted BLCA cell growth. In addition, through analyzing clinical samples, we found that both mRNA and protein levels of ACSS3 were dramatically upregulated in BLCA samples in comparison with adjacent controls and BLCA patients with lower ACSS3 expression were entitled with longer overall survival. Our data revealed an oncogenic role of ACSS3 via regulating AcCoA generation in BLCA and provided a promising target in metabolic pathway for BLCA treatment. 1234567890():,; 1234567890():,; 1234567890():,; 1234567890():,; Introduction acetyl-CoA synthetase short chain family (ACSS), which In cancer cells, considerable number of metabolic ligates acetate and CoA6. -
Class-I and Class-II Fumarases Are a Paradigm of the Recruitment Of
bioRxiv preprint doi: https://doi.org/10.1101/2020.08.04.232652; this version posted August 4, 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. 1 Class-I and Class-II fumarases are a paradigm of the recruitment of 2 metabolites and metabolic enzymes for signalling of the DNA Damage 3 Response during evolution. 4 5 Yardena Silas 1, 2, Esti Singer 1, Norbert Lehming 2 and Ophry Pines 1, 2* 6 1. Department of Microbiology and Molecular Genetics, IMRIC, Faculty of Medicine, 7 Hebrew University, Jerusalem, Israel 8 2. CREATE‑NUS‑HUJ Program and the Department of Microbiology and Immunology, 9 Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 10 Singapore. 11 12 [email protected] 13 [email protected] 14 [email protected] 15 [email protected] 16 17 18 19 20 21 22 23 24 25 26 1 bioRxiv preprint doi: https://doi.org/10.1101/2020.08.04.232652; this version posted August 4, 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. 27 Abstract 28 Class-II fumarase (Fumarate Hydratase, FH) and its metabolic intermediates are essential 29 components in the DNA damage response (DDR) in eukaryotic cells (human and yeast) and 30 in the prokaryote Bacillus subtilis. -
Comparison of Gene Expression Profiles in Chromate Transformed BEAS-2B Cells
Comparison of Gene Expression Profiles in Chromate Transformed BEAS-2B Cells Hong Sun1, Harriet A. Clancy1, Thomas Kluz1, Jiri Zavadil2, Max Costa1* 1 Nelson Institute of Environmental Medicine, New York University School of Medicine, Tuxedo, New York, United States of America, 2 Department of Pathology, NYU Cancer Institute and Center for Health Informatics and Bioinformatics, NYU Langone Medical Center, New York, New York, United States of America Abstract Background: Hexavalent chromium [Cr(VI)] is a potent human carcinogen. Occupational exposure has been associated with increased risk of respiratory cancer. Multiple mechanisms have been shown to contribute to Cr(VI) induced carcinogenesis, including DNA damage, genomic instability, and epigenetic modulation, however, the molecular mechanism and downstream genes mediating chromium’s carcinogenicity remain to be elucidated. Methods/Results: We established chromate transformed cell lines by chronic exposure of normal human bronchial epithelial BEAS-2B cells to low doses of Cr(VI) followed by anchorage-independent growth. These transformed cell lines not only exhibited consistent morphological changes but also acquired altered and distinct gene expression patterns compared with normal BEAS-2B cells and control cell lines (untreated) that arose spontaneously in soft agar. Interestingly, the gene expression profiles of six Cr(VI) transformed cell lines were remarkably similar to each other yet differed significantly from that of either control cell lines or normal BEAS-2B cells. A total of 409 differentially expressed genes were identified in Cr(VI) transformed cells compared to control cells. Genes related to cell-to-cell junction were upregulated in all Cr(VI) transformed cells, while genes associated with the interaction between cells and their extracellular matrices were down-regulated. -
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). -
Yeast Genome Gazetteer P35-65
gazetteer Metabolism 35 tRNA modification mitochondrial transport amino-acid metabolism other tRNA-transcription activities vesicular transport (Golgi network, etc.) nitrogen and sulphur metabolism mRNA synthesis peroxisomal transport nucleotide metabolism mRNA processing (splicing) vacuolar transport phosphate metabolism mRNA processing (5’-end, 3’-end processing extracellular transport carbohydrate metabolism and mRNA degradation) cellular import lipid, fatty-acid and sterol metabolism other mRNA-transcription activities other intracellular-transport activities biosynthesis of vitamins, cofactors and RNA transport prosthetic groups other transcription activities Cellular organization and biogenesis 54 ionic homeostasis organization and biogenesis of cell wall and Protein synthesis 48 plasma membrane Energy 40 ribosomal proteins organization and biogenesis of glycolysis translation (initiation,elongation and cytoskeleton gluconeogenesis termination) organization and biogenesis of endoplasmic pentose-phosphate pathway translational control reticulum and Golgi tricarboxylic-acid pathway tRNA synthetases organization and biogenesis of chromosome respiration other protein-synthesis activities structure fermentation mitochondrial organization and biogenesis metabolism of energy reserves (glycogen Protein destination 49 peroxisomal organization and biogenesis and trehalose) protein folding and stabilization endosomal organization and biogenesis other energy-generation activities protein targeting, sorting and translocation vacuolar and lysosomal