Rab11b-Mediated Integrin Recycling Promotes Brain Metastatic
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Screening and Identification of Key Biomarkers in Clear Cell Renal Cell Carcinoma Based on Bioinformatics Analysis
bioRxiv preprint doi: https://doi.org/10.1101/2020.12.21.423889; this version posted December 23, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. Screening and identification of key biomarkers in clear cell renal cell carcinoma based on bioinformatics analysis Basavaraj Vastrad1, Chanabasayya Vastrad*2 , Iranna Kotturshetti 1. Department of Biochemistry, Basaveshwar College of Pharmacy, Gadag, Karnataka 582103, India. 2. Biostatistics and Bioinformatics, Chanabasava Nilaya, Bharthinagar, Dharwad 580001, Karanataka, India. 3. Department of Ayurveda, Rajiv Gandhi Education Society`s Ayurvedic Medical College, Ron, Karnataka 562209, India. * Chanabasayya Vastrad [email protected] Ph: +919480073398 Chanabasava Nilaya, Bharthinagar, Dharwad 580001 , Karanataka, India bioRxiv preprint doi: https://doi.org/10.1101/2020.12.21.423889; this version posted December 23, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. Abstract Clear cell renal cell carcinoma (ccRCC) is one of the most common types of malignancy of the urinary system. The pathogenesis and effective diagnosis of ccRCC have become popular topics for research in the previous decade. In the current study, an integrated bioinformatics analysis was performed to identify core genes associated in ccRCC. An expression dataset (GSE105261) was downloaded from the Gene Expression Omnibus database, and included 26 ccRCC and 9 normal kideny samples. Assessment of the microarray dataset led to the recognition of differentially expressed genes (DEGs), which was subsequently used for pathway and gene ontology (GO) enrichment analysis. -
Anti-Rab11 Antibody (ARG41900)
Product datasheet [email protected] ARG41900 Package: 100 μg anti-Rab11 antibody Store at: -20°C Summary Product Description Goat Polyclonal antibody recognizes Rab11 Tested Reactivity Hu, Ms, Rat, Dog, Mk Tested Application IHC-Fr, IHC-P, WB Host Goat Clonality Polyclonal Isotype IgG Target Name Rab11 Antigen Species Mouse Immunogen Purified recombinant peptides within aa. 110 to the C-terminus of Mouse Rab11a, Rab11b and Rab11c (Rab25). Conjugation Un-conjugated Alternate Names RAB11A: Rab-11; Ras-related protein Rab-11A; YL8 RAB11B: GTP-binding protein YPT3; H-YPT3; Ras-related protein Rab-11B RAB25: RAB11C; CATX-8; Ras-related protein Rab-25 Application Instructions Application table Application Dilution IHC-Fr 1:100 - 1:400 IHC-P 1:100 - 1:400 WB 1:250 - 1:2000 Application Note IHC-P: Antigen Retrieval: Heat mediation was recommended. * The dilutions indicate recommended starting dilutions and the optimal dilutions or concentrations should be determined by the scientist. Positive Control Hepa cell lysate Calculated Mw 24 kDa Observed Size ~ 26 kDa Properties Form Liquid Purification Affinity purification with immunogen. Buffer PBS, 0.05% Sodium azide and 20% Glycerol. Preservative 0.05% Sodium azide www.arigobio.com 1/3 Stabilizer 20% Glycerol Concentration 3 mg/ml Storage instruction For continuous use, store undiluted antibody at 2-8°C for up to a week. For long-term storage, aliquot and store at -20°C. Storage in frost free freezers is not recommended. Avoid repeated freeze/thaw cycles. Suggest spin the vial prior to opening. The antibody solution should be gently mixed before use. Note For laboratory research only, not for drug, diagnostic or other use. -
In Silico Prediction of High-Resolution Hi-C Interaction Matrices
ARTICLE https://doi.org/10.1038/s41467-019-13423-8 OPEN In silico prediction of high-resolution Hi-C interaction matrices Shilu Zhang1, Deborah Chasman 1, Sara Knaack1 & Sushmita Roy1,2* The three-dimensional (3D) organization of the genome plays an important role in gene regulation bringing distal sequence elements in 3D proximity to genes hundreds of kilobases away. Hi-C is a powerful genome-wide technique to study 3D genome organization. Owing to 1234567890():,; experimental costs, high resolution Hi-C datasets are limited to a few cell lines. Computa- tional prediction of Hi-C counts can offer a scalable and inexpensive approach to examine 3D genome organization across multiple cellular contexts. Here we present HiC-Reg, an approach to predict contact counts from one-dimensional regulatory signals. HiC-Reg pre- dictions identify topologically associating domains and significant interactions that are enri- ched for CCCTC-binding factor (CTCF) bidirectional motifs and interactions identified from complementary sources. CTCF and chromatin marks, especially repressive and elongation marks, are most important for HiC-Reg’s predictive performance. Taken together, HiC-Reg provides a powerful framework to generate high-resolution profiles of contact counts that can be used to study individual locus level interactions and higher-order organizational units of the genome. 1 Wisconsin Institute for Discovery, 330 North Orchard Street, Madison, WI 53715, USA. 2 Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI 53715, USA. *email: [email protected] NATURE COMMUNICATIONS | (2019) 10:5449 | https://doi.org/10.1038/s41467-019-13423-8 | www.nature.com/naturecommunications 1 ARTICLE NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-019-13423-8 he three-dimensional (3D) organization of the genome has Results Temerged as an important component of the gene regulation HiC-Reg for predicting contact count using Random Forests. -
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. -
Genome-Wide Screen of Otosclerosis in Population Biobanks
medRxiv preprint doi: https://doi.org/10.1101/2020.11.15.20227868; this version posted November 16, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license . 1 Genome-wide Screen of Otosclerosis in 2 Population Biobanks: 18 Loci and Shared 3 Heritability with Skeletal Structure 4 Joel T. Rämö1, Tuomo Kiiskinen1, Juha Karjalainen1,2,3,4, Kristi Krebs5, Mitja Kurki1,2,3,4, Aki S. 5 Havulinna6, Eija Hämäläinen1, Paavo Häppölä1, Heidi Hautakangas1, FinnGen, Konrad J. 6 Karczewski1,2,3,4, Masahiro Kanai1,2,3,4, Reedik Mägi5, Priit Palta1,5, Tõnu Esko5, Andres Metspalu5, 7 Matti Pirinen1,7,8, Samuli Ripatti1,2,7, Lili Milani5, Antti Mäkitie9, Mark J. Daly1,2,3,4,10, and Aarno 8 Palotie1,2,3,4 9 1. Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of 10 Helsinki, Helsinki, Finland 11 2. Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, 12 Massachusetts, USA 13 3. Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, Massachusetts, 14 USA 15 4. Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, Massachusetts, USA 16 5. Estonian Genome Center, University of Tartu, Tartu, Estonia, Institute of Molecular and Cell Biology, 17 University of Tartu, Tartu, Estonia 18 6. Finnish Institute for Health and Welfare, Helsinki, Finland 19 7. Department of Public Health, Clinicum, Faculty of Medicine, University of Helsinki, Helsinki, Finland 20 8. -
A SARS-Cov-2-Human Protein-Protein Interaction Map Reveals Drug Targets and Potential Drug-Repurposing
A SARS-CoV-2-Human Protein-Protein Interaction Map Reveals Drug Targets and Potential Drug-Repurposing Supplementary Information Supplementary Discussion All SARS-CoV-2 protein and gene functions described in the subnetwork appendices, including the text below and the text found in the individual bait subnetworks, are based on the functions of homologous genes from other coronavirus species. These are mainly from SARS-CoV and MERS-CoV, but when available and applicable other related viruses were used to provide insight into function. The SARS-CoV-2 proteins and genes listed here were designed and researched based on the gene alignments provided by Chan et. al. 1 2020 . Though we are reasonably sure the genes here are well annotated, we want to note that not every protein has been verified to be expressed or functional during SARS-CoV-2 infections, either in vitro or in vivo. In an effort to be as comprehensive and transparent as possible, we are reporting the sub-networks of these functionally unverified proteins along with the other SARS-CoV-2 proteins. In such cases, we have made notes within the text below, and on the corresponding subnetwork figures, and would advise that more caution be taken when examining these proteins and their molecular interactions. Due to practical limits in our sample preparation and data collection process, we were unable to generate data for proteins corresponding to Nsp3, Orf7b, and Nsp16. Therefore these three genes have been left out of the following literature review of the SARS-CoV-2 proteins and the protein-protein interactions (PPIs) identified in this study. -
Four-Dimensional Live Imaging of Apical Biosynthetic Trafficking Reveals a Post-Golgi Sorting Role of Apical Endosomal Intermediates
Four-dimensional live imaging of apical biosynthetic trafficking reveals a post-Golgi sorting role of apical endosomal intermediates Roland Thuenauera,b,1,2, Ya-Chu Hsua, Jose Maria Carvajal-Gonzaleza,3, Sylvie Debordea,4, Jen-Zen Chuanga, Winfried Römerc,d, Alois Sonnleitnerb, Enrique Rodriguez-Boulana,5, and Ching-Hwa Sunga,5 aMargaret M. Dyson Vision Research Institute, Weill Medical College of Cornell University, New York, NY 10065; bCenter for Advanced Bioanalysis Linz, 4020 Linz, Austria; and cInstitute of Biology II, and dBIOSS Centre for Biological Signalling Studies, Albert-Ludwigs-University Freiburg, 79104 Freiburg, Germany Edited by Keith E. Mostov, University of California School of Medicine, San Francisco, CA, and accepted by the Editorial Board January 17, 2014 (received for review March 11, 2013) Emerging data suggest that in polarized epithelial cells newly is an important regulator of biological processes that require synthesized apical and basolateral plasma membrane proteins apical trafficking, e.g., lumen formation during epithelial tubu- traffic through different endosomal compartments en route to the logenesis (11), apical secretion of discoidal/fusiform vesicles in respective cell surface. However, direct evidence for trans-endo- bladder umbrella cells (12), and apical microvillus morphogenesis somal pathways of plasma membrane proteins is still missing and and rhodopsin localization in fly photoreceptors (13). However, the mechanisms involved are poorly understood. Here, we imaged despite the physiological importance of trans-endosomal traf- the entire biosynthetic route of rhodopsin-GFP, an apical marker in ficking, the underlying mechanisms remain largely unclear. epithelial cells, synchronized through recombinant conditional ag- Previous studies on trans-endosomal trafficking in polarized gregation domains, in live Madin-Darby canine kidney cells using epithelial cells have relied on pulse chase/cell fractionation pro- spinning disk confocal microscopy. -
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. -
Transcriptomic Uniqueness and Commonality of the Ion Channels and Transporters in the Four Heart Chambers Sanda Iacobas1, Bogdan Amuzescu2 & Dumitru A
www.nature.com/scientificreports OPEN Transcriptomic uniqueness and commonality of the ion channels and transporters in the four heart chambers Sanda Iacobas1, Bogdan Amuzescu2 & Dumitru A. Iacobas3,4* Myocardium transcriptomes of left and right atria and ventricles from four adult male C57Bl/6j mice were profled with Agilent microarrays to identify the diferences responsible for the distinct functional roles of the four heart chambers. Female mice were not investigated owing to their transcriptome dependence on the estrous cycle phase. Out of the quantifed 16,886 unigenes, 15.76% on the left side and 16.5% on the right side exhibited diferential expression between the atrium and the ventricle, while 5.8% of genes were diferently expressed between the two atria and only 1.2% between the two ventricles. The study revealed also chamber diferences in gene expression control and coordination. We analyzed ion channels and transporters, and genes within the cardiac muscle contraction, oxidative phosphorylation, glycolysis/gluconeogenesis, calcium and adrenergic signaling pathways. Interestingly, while expression of Ank2 oscillates in phase with all 27 quantifed binding partners in the left ventricle, the percentage of in-phase oscillating partners of Ank2 is 15% and 37% in the left and right atria and 74% in the right ventricle. The analysis indicated high interventricular synchrony of the ion channels expressions and the substantially lower synchrony between the two atria and between the atrium and the ventricle from the same side. Starting with crocodilians, the heart pumps the blood through the pulmonary circulation and the systemic cir- culation by the coordinated rhythmic contractions of its upper lef and right atria (LA, RA) and lower lef and right ventricles (LV, RV). -
Cargo Specific Regulation of Cytoplasmic Dynein by Effector Proteins
University of Pennsylvania ScholarlyCommons Publicly Accessible Penn Dissertations 2018 Cargo Specific Regulation Of Cytoplasmic Dynein By Effector Proteins Mara Olenick University of Pennsylvania, [email protected] Follow this and additional works at: https://repository.upenn.edu/edissertations Part of the Biochemistry Commons, Biophysics Commons, and the Cell Biology Commons Recommended Citation Olenick, Mara, "Cargo Specific Regulation Of Cytoplasmic Dynein By Effector Proteins" (2018). Publicly Accessible Penn Dissertations. 3167. https://repository.upenn.edu/edissertations/3167 This paper is posted at ScholarlyCommons. https://repository.upenn.edu/edissertations/3167 For more information, please contact [email protected]. Cargo Specific Regulation Of Cytoplasmic Dynein By Effector Proteins Abstract Axonal transport is vital for the development and survival of neurons. The transport of cargo and organelles from the axon to the cell body is driven almost completely by the molecular motor, cytoplasmic dynein. Yet, it remains unclear how dynein is spatially and temporally regulated given the variety of cargo that must be properly localized to maintain cellular function. Previous work has suggested that adaptor proteins provide a mechanism for cargo-specific egulationr of motors. During my thesis work, I have investigated the role of mammalian Hook proteins, Hook1 and Hook3, as potential motor adaptors. Using optogenetic and single molecule assays, I found that Hook proteins interact with both dynein and dynactin, to effectively activate dynein motility, inducing longer run lengths and higher velocities than the previously characterized dynein activator, BICD2. In addition, I found that complex formation requires the N-terminal domain of Hook proteins, which resembles the calponin-homology domain of EB proteins yet cannot bind directly to microtubules. -
MALE Protein Name Accession Number Molecular Weight CP1 CP2 H1 H2 PDAC1 PDAC2 CP Mean H Mean PDAC Mean T-Test PDAC Vs. H T-Test
MALE t-test t-test Accession Molecular H PDAC PDAC vs. PDAC vs. Protein Name Number Weight CP1 CP2 H1 H2 PDAC1 PDAC2 CP Mean Mean Mean H CP PDAC/H PDAC/CP - 22 kDa protein IPI00219910 22 kDa 7 5 4 8 1 0 6 6 1 0.1126 0.0456 0.1 0.1 - Cold agglutinin FS-1 L-chain (Fragment) IPI00827773 12 kDa 32 39 34 26 53 57 36 30 55 0.0309 0.0388 1.8 1.5 - HRV Fab 027-VL (Fragment) IPI00827643 12 kDa 4 6 0 0 0 0 5 0 0 - 0.0574 - 0.0 - REV25-2 (Fragment) IPI00816794 15 kDa 8 12 5 7 8 9 10 6 8 0.2225 0.3844 1.3 0.8 A1BG Alpha-1B-glycoprotein precursor IPI00022895 54 kDa 115 109 106 112 111 100 112 109 105 0.6497 0.4138 1.0 0.9 A2M Alpha-2-macroglobulin precursor IPI00478003 163 kDa 62 63 86 72 14 18 63 79 16 0.0120 0.0019 0.2 0.3 ABCB1 Multidrug resistance protein 1 IPI00027481 141 kDa 41 46 23 26 52 64 43 25 58 0.0355 0.1660 2.4 1.3 ABHD14B Isoform 1 of Abhydrolase domain-containing proteinIPI00063827 14B 22 kDa 19 15 19 17 15 9 17 18 12 0.2502 0.3306 0.7 0.7 ABP1 Isoform 1 of Amiloride-sensitive amine oxidase [copper-containing]IPI00020982 precursor85 kDa 1 5 8 8 0 0 3 8 0 0.0001 0.2445 0.0 0.0 ACAN aggrecan isoform 2 precursor IPI00027377 250 kDa 38 30 17 28 34 24 34 22 29 0.4877 0.5109 1.3 0.8 ACE Isoform Somatic-1 of Angiotensin-converting enzyme, somaticIPI00437751 isoform precursor150 kDa 48 34 67 56 28 38 41 61 33 0.0600 0.4301 0.5 0.8 ACE2 Isoform 1 of Angiotensin-converting enzyme 2 precursorIPI00465187 92 kDa 11 16 20 30 4 5 13 25 5 0.0557 0.0847 0.2 0.4 ACO1 Cytoplasmic aconitate hydratase IPI00008485 98 kDa 2 2 0 0 0 0 2 0 0 - 0.0081 - 0.0 -
Expression Pattern of the PRDX2, RAB1A, RAB1B, RAB5A and RAB25 Genes in Normal and Cancer Cervical Tissues
INTERNATIONAL JOURNAL OF ONCOLOGY 46: 107-112, 2015 Expression pattern of the PRDX2, RAB1A, RAB1B, RAB5A and RAB25 genes in normal and cancer cervical tissues ANDREJ NIKOSHKOV1, KRISTINA BROLIDEN2, SANAZ ATTARHA1,3, VITALI SVIATOHA3, ANN-CATHRIN HELLSTRÖM4, MIRIAM MINTS1 and SONIA ANDERSSON1 1Department of Women's and Children's Health, Division of Obstetrics and Gynecology, Karolinska Institute, Karolinska University Hospital Solna, 171 76 Stockholm; 2Department of Medicine Solna, Unit of Infectious Diseases, Center for Molecular Medicine, Karolinska Institute, Karolinska University Hospital, 171 76 Stockholm; 3Department of Oncology-Pathology, Karolinska Institute, 171 76 Stockholm; 4Department of Gynecological Oncology, Radiumhemmet, Karolinska University Hospital, 171 76 Stockholm, Sweden Received July 11, 2014; Accepted August 28, 2014 DOI: 10.3892/ijo.2014.2724 Abstract. Cervical cancer is the second most prevalent RAB1B transcript occurs in normal cervical tissue and in malignancy among women worldwide, and additional preinvasive cervical lesions; not in invasive cervical tumors. objective diagnostic markers for this disease are needed. Given the link between cancer development and alternative Introduction splicing, we aimed to analyze the splicing patterns of the PRDX2, RAB1A, RAB1B, RAB5A and RAB25 genes, which Alternative splicing is a process in which either different are associated with different cancers, in normal cervical combinations of exons or parts of exons are employed to tissue, preinvasive cervical lesions and invasive cervical generate new transcripts through the use of alternative-splicing tumors, to identify new objective diagnostic markers. Biopsies sites. More than 90% of human intron-containing genes of normal cervical tissue, preinvasive cervical lesions and undergo alternative splicing, which allows a single transcript invasive cervical tumors, were subjected to rapid amplification to encode a number of RNAs that produce various protein of cDNA 3' ends (3' RACE) RT‑PCR.