Atg7 Deficiency in Microglia Drives an Altered Transcriptomic Profile Associated with an Impaired Neuroinflammatory Response
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PALM-IST: Pathway Assembly from Literature Mining
www.nature.com/scientificreports OPEN PALM-IST: Pathway Assembly from Literature Mining - an Information Search Tool Received: 06 September 2014 Accepted: 18 February 2015 Sapan Mandloi & Saikat Chakrabarti Published: 19 May 2015 Manual curation of biomedical literature has become extremely tedious process due to its exponential growth in recent years. To extract meaningful information from such large and unstructured text, newer and more efficient mining tool is required. Here, we introduce PALM-IST, a computational platform that not only allows users to explore biomedical abstracts using keyword based text mining but also extracts biological entity (e.g., gene/protein, drug, disease, biological processes, cellular component, etc.) information from the extracted text and subsequently mines various databases to provide their comprehensive inter-relation (e.g., interaction, expression, etc.). PALM-IST constructs protein interaction network and pathway information data relevant to the text search using multiple data mining tools and assembles them to create a meta-interaction network. It also analyzes scientific collaboration by extraction and creation of “co-authorship network,” for a given search context. Hence, this useful combination of literature and data mining provided in PALM- IST can be used to extract novel protein-protein interaction (PPI), to generate meta-pathways and further to identify key crosstalk and bottleneck proteins. PALM-IST is available at www.hpppi.iicb. res.in/ctm. Biomedical research has shifted from studying individual gene and protein to complete biological sys- tem. In today’s age of “big data biology” embraced with overwhelming amount of publication records and of high-throughput data, automated and efficient text and data mining platforms are absolutely essential to access and present biological information into more computable and comprehensible form1–3. -
Genetic Screens in Isogenic Mammalian Cell Lines Without Single Cell Cloning
ARTICLE https://doi.org/10.1038/s41467-020-14620-6 OPEN Genetic screens in isogenic mammalian cell lines without single cell cloning Peter C. DeWeirdt1,2, Annabel K. Sangree1,2, Ruth E. Hanna1,2, Kendall R. Sanson1,2, Mudra Hegde 1, Christine Strand 1, Nicole S. Persky1 & John G. Doench 1* Isogenic pairs of cell lines, which differ by a single genetic modification, are powerful tools for understanding gene function. Generating such pairs of mammalian cells, however, is labor- 1234567890():,; intensive, time-consuming, and, in some cell types, essentially impossible. Here, we present an approach to create isogenic pairs of cells that avoids single cell cloning, and screen these pairs with genome-wide CRISPR-Cas9 libraries to generate genetic interaction maps. We query the anti-apoptotic genes BCL2L1 and MCL1, and the DNA damage repair gene PARP1, identifying both expected and uncharacterized buffering and synthetic lethal interactions. Additionally, we compare acute CRISPR-based knockout, single cell clones, and small- molecule inhibition. We observe that, while the approaches provide largely overlapping information, differences emerge, highlighting an important consideration when employing genetic screens to identify and characterize potential drug targets. We anticipate that this methodology will be broadly useful to comprehensively study gene function across many contexts. 1 Genetic Perturbation Platform, Broad Institute of MIT and Harvard, 75 Ames Street, Cambridge, MA 02142, USA. 2These authors contributed equally: Peter C. DeWeirdt, -
List of Abbreviation
Exploring and Potentiating Human Bone Marrow Derived Mesenchymal Stem Cells [hBMSCs] and Differentiated Islets for Effective Diabetes Therapy ABBREVIATION LIST OF ABBREVIATION AF555-Alexa Fluor 555 EBs- Embryoid bodies AGE- advanced glycosylation end-product EDTA- Ethylenediaminetetraacetic acid aPKC- Atypical protein kinase C EGF-Epidermal growth factor ANOVA-Analysis of variance EGFR- epidermal growth factor receptor Arx- Aristaless-related homeobox gene EL- Enicostemma littorale ATP- Adenosine triphosphate ELISA- Enzyme linked immunosorbent bHLH- Basic helix–loop–helix assay BM- Bone marrow EMT - epithelial–mesenchymal transition BMC- Bioactive molecules cocktail ESCs- Embryonic stem cells BMP-bone morphogenic protein FACS- Fluorescent activated cell sorter BSA- Bovine serum albumin FBS- Fetal Bovine Serum cAMP- Cyclic Adenosine monophosphate FDA- Food and Drug Administration CaCl2 –Calcium chloride FGF- Fibroblast growth factor CD-Cluster of differentiation FITC- Fluorescein isothiocyanate cDNA –Complementary DNA FOXO1-Forkhead box protein O1 ChIP-Chromatin immunoprecipitation FOXA2 - Forkhead box protein A2 CCl4- Carbon tetrachloride GAD- Glutamate decarboxylase CDK- Cyclin dependent kinase GATA4 -(GATA Binding Protein 4) CK-Cytokeratin GATA6- (GATA Binding Protein 6) CNS- Central Nervous System GCK- Glucokinase CPCSEA- Committee for the purpose of GFP- Green Fluorescent protein control and supervision of experiments on GLP-1- Glucagon-like peptide-1 animals GLUT- Glucose Transporter DAPI- 4’6’-diamidino-2-phenylindole GPx- Glutathione peroxidase Dihydrochloride GSH- Reduced glutathione DCFDA- 2',7' –dichlorofluorescin diacetate GSIS- Glucose-stimulated insulin secretion DM-Diabetes mellitus GTT- Glucose tolerance test DMEM- KO -Dulbecco’s Modified Eagle H & E- Hematoxylin and Eosin Media-Knock out hBMSCs: Human bone marrow-derived DMSO- Dimethyl Sulphoxide mesenchymal stem cell DTZ- Dithizone HGF- Hepatocyte Growth Factor Mitul Vakani. -
Identification of Long-Lived Synaptic Proteins by Proteomic Analysis Of
Identification of long-lived synaptic proteins by PNAS PLUS proteomic analysis of synaptosome protein turnover Seok Heoa,1, Graham H. Dieringa,1, Chan Hyun Nab,c,d,e,1, Raja Sekhar Nirujogib,c, Julia L. Bachmana, Akhilesh Pandeyb,c,f,g,h, and Richard L. Huganira,i,2 aSolomon H. Snyder Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD 21205; bDepartment of Biological Chemistry, Johns Hopkins University School of Medicine, Baltimore, MD 21205; cMcKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205; dDepartment of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205; eInstitute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205; fDepartment of Oncology, Johns Hopkins University School of Medicine, Baltimore, MD 21205; gDepartment of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD 21205; hManipal Academy of Higher Education, Manipal 576104, Karnataka, India; and iKavli Neuroscience Discovery Institute, Johns Hopkins University, Baltimore, MD 21205 Contributed by Richard L. Huganir, February 28, 2018 (sent for review December 4, 2017; reviewed by Stephen J. Moss and Angus C. Nairn) Memory formation is believed to result from changes in synapse the eye and cartilage, respectively, last for decades. Components strength and structure. While memories may persist for the lifetime of the nuclear pore complex of nondividing cells and some his- of an organism, the proteins and lipids that make up synapses tones have also been shown to last for years (12–15). The ex- undergo constant turnover with lifetimes from minutes to days. The treme stability of some of these proteins is obviously critical for molecular basis for memory maintenance may rely on a subset of the structural integrity of relatively metabolically inactive regions long-lived proteins (LLPs). -
Recent Advances of M6a Methylation Modification in Esophageal Squamous Cell Carcinoma
Zhang et al. Cancer Cell Int (2021) 21:421 https://doi.org/10.1186/s12935-021-02132-2 Cancer Cell International REVIEW Open Access Recent advances of m6A methylation modifcation in esophageal squamous cell carcinoma Xiaoqing Zhang1†, Ning Lu1†, Li Wang2†, Yixuan Wang1, Minna Li1, Ying Zhou3, Manli Cui1*, Mingxin Zhang1,3* and Lingmin Zhang4* Abstract In recent years, with the development of RNA sequencing technology and bioinformatics methods, the epigenetic modifcation of RNA based on N6-methyladenosine (m6A) has gradually become a research hotspot in the feld of bioscience. m6A is the most abundant internal modifcation in eukaryotic messenger RNAs (mRNAs). m6A methylation modifcation can dynamically and reversibly regulate RNA transport, localization, translation and degradation through the interaction of methyltransferase, demethylase and reading protein. m6A methylation can regulate the expression of proto-oncogenes and tumor suppressor genes at the epigenetic modifcation level to afect tumor occurrence and metastasis. The morbidity and mortality of esophageal cancer (EC) are still high worldwide. Esophageal squamous cell carcinoma (ESCC) is the most common tissue subtype of EC. This article reviews the related concepts, biological functions and recent advances of m6A methylation in ESCC, and looks forward to the prospect of m6A methylation as a new diagnostic biomarker and potential therapeutic target for ESCC. Keywords: N6-methyladenosine, Methylation, Esophageal squamous cell carcinoma Introduction surgical resection, combined radiotherapy and chemo- Esophageal cancer (EC) is one of the most invasive malig- therapy have improved the prognosis of patients with nant tumors of digestive tract in the world, and its mor- ESCC, the 5-year overall survival rate is still very low [5], bidity and mortality are still high in China [1]. -
Development and Validation of a New Tumor-Based Gene Signature
Zhu et al. J Transl Med (2019) 17:203 https://doi.org/10.1186/s12967-019-1946-8 Journal of Translational Medicine RESEARCH Open Access Development and validation of a new tumor-based gene signature predicting prognosis of HBV/HCV-included resected hepatocellular carcinoma patients Gui‑Qi Zhu1,2†, Yi Yang1,2†, Er‑Bao Chen3†, Biao Wang1,2, Kun Xiao1,2, Shi‑Ming Shi4, Zheng‑Jun Zhou1,2, Shao‑Lai Zhou1,2, Zheng Wang1,2, Ying‑Hong Shi1,2, Jia Fan1,2, Jian Zhou1,2, Tian‑Shu Liu3 and Zhi Dai1,2* Abstract Background: Due to the phenotypic and molecular diversity of hepatocellular carcinomas (HCC), it is still a challenge to determine patients’ prognosis. We aim to identify new prognostic markers for resected HCC patients. Methods: 274 patients were retrospectively identifed and samples collected from Zhongshan hospital, Fudan Uni‑ versity. We analyzed the gene expression patterns of tumors and compared expression patterns with patient survival times. We identifed a “9‑gene signature” associated with survival by using the coefcient and regression formula of multivariate Cox model. This molecular signature was then validated in three patients cohorts from internal cohort (n 69), TCGA (n 369) and GEO dataset (n 80). = = = Results: We identifed 9‑gene signature consisting of ZC2HC1A, MARCKSL1, PTGS1, CDKN2B, CLEC10A, PRDX3, PRKCH, MPEG1 and LMO2. The 9‑gene signature was used, combined with clinical parameters, to ft a multivariable Cox model to the training cohort (concordance index, ci 0.85), which was successfully validated (ci 0.86 for internal cohort; ci 0.78 for in silico cohort). The signature showed= improved performance compared with= clinical parameters alone (ci= 0.70). -
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. -
Identifying the Role of Wilms Tumor 1 Associated Protein in Cancer Prediction Using Integrative Genomic Analyses
MOLECULAR MEDICINE REPORTS 14: 2823-2831, 2016 Identifying the role of Wilms tumor 1 associated protein in cancer prediction using integrative genomic analyses LI‑SHENG WU1*, JIA-YI QIAN2*, MINGHAI WANG3* and HAIWEI YANG4 1Department of General Surgery, Anhui Provincial Hospital, Anhui Medical University, Hefei, Anhui 230001; 2Department of Breast Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu 210029; 3Department of General Surgery, The First Affiliated Yijishan Hospital of Wannan Medical College, Wuhu, Anhui 241002; 4Department of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu 210029, P.R. China Received August 31, 2015; Accepted June 2, 2016 DOI: 10.3892/mmr.2016.5528 Abstract. The Wilms tumor suppressor, WT1 was first iden- regulatory factor 1, glucocorticoid receptor and peroxisome tified due to its essential role in the normal development of proliferator‑activated receptor γ transcription factor binding the human genitourinary system. Wilms tumor 1 associated sites were identified in the upstream (promoter) region of the protein (WTAP) was subsequently revealed to interact with human WTAP gene, suggesting that these transcription factors WT1 using yeast two‑hybrid screening. The present study may be involved in WTAP functions in tumor formation. identified 44 complete WTAP genes in the genomes of verte- brates, including fish, amphibians, birds and mammals. The Introduction vertebrate WTAP proteins clustered into the primate, rodent and teleost lineages using phylogenetic tree analysis. From The Wilms tumor suppressor gene WT1 was first identified 1,347 available SNPs in the human WTAP gene, 19 were due to its essential role in the normal development of the identified to cause missense mutations. -
Transcriptomic Profile Induced in Bone Marrow Mesenchymal Stromal Cells After Interaction with Multiple Myeloma Cells
www.impactjournals.com/oncotarget/ Oncotarget, Vol. 5, No. 18 Transcriptomic profile induced in bone marrow mesenchymal stromal cells after interaction with multiple myeloma cells: implications in myeloma progression and myeloma bone disease Antonio Garcia-Gomez1,2,3, Javier De Las Rivas1, Enrique M. Ocio1,2, Elena Díaz- Rodríguez1, Juan C. Montero1, Montserrat Martín1,3, Juan F. Blanco2, Fermín M. Sanchez-Guijo2,3, Atanasio Pandiella1,2, Jesús F. San Miguel1,2,3 and Mercedes Garayoa1,2,3 1 Centro de Investigación del Cáncer, IBMCC (Universidad de Salamanca-CSIC), Salamanca, Spain 2 Hospital Universitario de Salamanca-IBSAL, Salamanca, Spain 3 Centro en Red de Medicina Regenerativa y Terapia Celular de Castilla y León, Salamanca, Spain Correspondence to: Mercedes Garayoa, email: [email protected] Keywords: multiple myeloma, bone marrow mesenchymal stromal cells, tumor-stroma interactions, gene expression profiling, co- culture techniques, myeloma bone disease Received: January 6, 2014 Accepted: June 2, 2014 Published: June 4, 2014 This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. ABSTRACT Despite evidence about the implication of the bone marrow (BM) stromal microenvironment in multiple myeloma (MM) cell growth and survival, little is known about the effects of myelomatous cells on BM stromal cells. Mesenchymal stromal cells (MSCs) from healthy donors (dMSCs) or myeloma patients (pMSCs) were co- cultured with the myeloma cell line MM.1S, and the transcriptomic profile of MSCs induced by this interaction was analyzed. Deregulated genes after co-culture common to both d/pMSCs revealed functional involvement in tumor microenvironment cross- talk, myeloma growth induction and drug resistance, angiogenesis and signals for osteoclast activation and osteoblast inhibition. -
Stemmacs™ Cebpb Mrna
StemMACS™ Cebpb mRNA human Order no. 130-104-377 Contents 1.3 Applications 1. Description ● Differentiation of pluripotent stem cells into adipose tissue. 1.1 Principle 1.2 Background information 2. Protocol: Reconstitution of lyophilizate 1.2 Applications ▲ RNA is susceptible to degradation by exogenous ribonucleases. 2. Protocol: Dissolving of lyophilizate Wear gloves, use RNase-free reagents, tubes, and pipette tips. 1. Dissolve StemMACS Cebpb mRNA in 200 µL of Double- 1. Description distilled Water. Vortex thoroughly. The final concentration will be 0.1 µg/µL. Components 20 µg StemMACS™ Cebpb mRNA encoding the transcription factor C/EBP-beta (CEBPB, 2. Briefly centrifuge to collect the content at the bottom of the LAP, CRP2, TCF5; Entrez Gene ID 1051). tube. 1 mL Double-distilled Water, RNase-free 3. Prepare aliquots and store at –70 °C to –80 °C. Do not subject Specifications In vitro transcribed, polyadenylated and aliquots to more than two freeze-thaw cycles. capped mRNA that has been modified with pseudouridine and 5-methyl-cytidine to reduce For satisfactory transfection results, use a protocol that is the innate antiviral response to single-stranded optimized for your specific cell type. StemMACS™ eGFP mRNA RNA. or StemMACS™ Nuclear eGFP mRNA allow easy evaluation of Formulation Lyophilized from a filtered (0.2 µm) solution. transfection efficiency and are recommended as positive controls. Storage Store the lyophilized product at –20 °C. The Refer to www.miltenyibiotec.com for all data sheets and protocols. expiration date is indicated on the label. After Miltenyi Biotec provides technical support worldwide. Visit reconstitution, the product can be stored at www.miltenyibiotec.com/local to find your nearest Miltenyi Biotec –70°C for up to 3 month. -
SMAD3/Stat3 Signaling Mediates Β-Cell Epithelial-Mesenchymal
2646 Diabetes Volume 66, October 2017 SMAD3/Stat3 Signaling Mediates b-Cell Epithelial- Mesenchymal Transition in Chronic Pancreatitis–Related Diabetes Xiangwei Xiao,1 Shane Fischbach,1 Tina Zhang,1,2 Congde Chen,1 Qingfeng Sheng,1 Ray Zimmerman,1 Sneha Patnaik,1 Joseph Fusco,1 Yungching Ming,1 Ping Guo,1 Chiyo Shiota,1 Krishna Prasadan,1 Nupur Gangopadhyay,1 Sohail Z. Husain,3 Henry Dong,2 and George K. Gittes1 Diabetes 2017;66:2646–2658 | https://doi.org/10.2337/db17-0537 Many patients with chronic pancreatitis develop diabetes Many patients with chronic pancreatitis develop insulinopenia, (chronic pancreatitis–related diabetes [CPRD]) through an glucose intolerance, insulin resistance, and eventually diabetes undetermined mechanism. Here we used long-term par- (2), largely as a result of the intimate proximity of the tial pancreatic duct ligation (PDL) as a model to study CPRD. endocrine pancreas to the exocrine pancreas (3). Moreover, We found that long-term PDL induced significant b-cell de- patients with chronic pancreatitis often develop a fibrotic differentiation, followed by a time-dependent decrease in pancreas with a reduced b-cell mass and have a 15- to b — fi functional -cell mass all speci cally in the ligated tail 16-fold increased risk for pancreatic cancer (4). To date, the portion of the pancreas (PDL-tail). High levels of transform- understanding of the development and pathogenesis of b b ing growth factor 1(TGF 1) were detected in the PDL-tail chronic pancreatitis–relateddiabetes(CPRD)isverylimited. and were mainly produced by M2 macrophages at the In addition, the mechanisms of b-cell loss in CPRD may in early stage and by activated myofibroblasts at the later part be similar to those in type 2 diabetes (T2D) (5,6) and in stage. -
Temporal Mapping of CEBPA and CEBPB Binding
Downloaded from genome.cshlp.org on September 26, 2021 - Published by Cold Spring Harbor Laboratory Press Temporal mapping of CEBPA and CEBPB binding during liver regeneration reveals dynamic occupancy and specific regulatory codes for homeostatic and cell cycle gene batteries Janus Schou Jakobsen1,2,3,*, Johannes Waage1,2,3,4, Nicolas Rapin1,2,3,4, Hanne Cathrine Bisgaard5, Fin Stolze Larsen6, Bo Torben Porse1,2,3,* 1 The Finsen Laboratory, Rigshospitalet, Faculty of Health Sciences, University of Copenhagen, DK2200 Copenhagen, Denmark; 2 Biotech Research and Innovation Centre (BRIC), University of Copenhagen, DK-2200 Copenhagen, Denmark; 3 The Danish Stem Cell Centre (DanStem) Faculty of Health Sciences, University of Copenhagen, DK2200 Copenhagen Denmark; 4 The Bioinformatics Centre, University of Copenhagen, DK2200, Copenhagen, Denmark; 5 Department of Cellular and Molecular Medicine, Faculty of Health Sciences, University of Copenhagen, DK- 2100 Copenhagen, Denmark; 6 Department of Hepatology, Rigshospitalet, DK2200 Copenhagen, Denmark. JW: [email protected]; NR: [email protected]; HCB: [email protected]; FSL: [email protected] * Corresponding authors: BTP: [email protected]; JSJ: [email protected], The Finsen Laboratory, Ole Maaløesvej 5, Copenhagen Biocenter, University of Copenhagen, DK2200 Copenhagen, Denmark. Telephone: +45 3545 6023 Running title: Regulation of liver regeneration Keywords: Temporal ChIP-seq, dynamic binding, liver regeneration, C/EBPalpha, C/EBPbeta, transcriptional networks 1 Downloaded from genome.cshlp.org on September 26, 2021 - Published by Cold Spring Harbor Laboratory Press Abstract Dynamic shifts in transcription factor binding are central to the regulation of biological processes by allowing rapid changes in gene transcription.