Targeted Shrna Screening Identified Critical Roles of Pleckstrin-2 in Erythropoiesis
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A Supergene-Linked Estrogen Receptor Drives Alternative Phenotypes in a Polymorphic Songbird
A supergene-linked estrogen receptor drives alternative phenotypes in a polymorphic songbird Jennifer R. Merritta,1, Kathleen E. Grogana, Wendy M. Zinzow-Kramera, Dan Sunb, Eric A. Ortlundc, Soojin V. Yib, and Donna L. Maneya aDepartment of Psychology, Emory University, Atlanta, GA 30322; bSchool of Biological Sciences, Georgia Institute of Technology, Atlanta, GA 30332; and cDepartment of Biochemistry, Emory University, Atlanta, GA 30322 Edited by Gene E. Robinson, University of Illinois at Urbana–Champaign, Urbana, IL, and approved July 8, 2020 (received for review June 3, 2020) Behavioral evolution relies on genetic changes, yet few behaviors tan-striped (TS) morph are homozygous for the standard ar- can be traced to specific genetic sequences in vertebrates. Here we rangement, ZAL2 (13, 14) (Fig. 1A). The rearrangement is provide experimental evidence showing that differentiation of a maintained in the population because of the species’ unique dis- single gene has contributed to the evolution of divergent behav- assortative mating system; nearly every breeding pair consists of ioral phenotypes in the white-throated sparrow, a common back- one individual of each morph (15). Because almost all WS birds yard songbird. In this species, a series of chromosomal inversions are heterozygous for ZAL2m (15, 16), this mating system keeps has formed a supergene that segregates with an aggressive phe- ZAL2m in a near-constant state of heterozygosity (Fig. 1B), pro- notype. The supergene has captured ESR1, the gene that encodes foundly suppressing recombination and causing it to differentiate estrogen receptor α (ERα); as a result, this gene is accumulating from ZAL2 (15, 17). changes that now distinguish the supergene allele from the stan- The rearranged region of ZAL2m in white-throated sparrows dard allele. -
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. -
The Cargo Protein MAP17 (PDZK1IP1) Regulates the Immune Microenvironment
www.impactjournals.com/oncotarget/ Oncotarget, 2017, Vol. 8, (No. 58), pp: 98580-98597 Research Paper The cargo protein MAP17 (PDZK1IP1) regulates the immune microenvironment José M. García-Heredia1,2,3 and Amancio Carnero1,3 1Instituto de Biomedicina de Sevilla, IBIS/Hospital Universitario Virgen del Rocío/Universidad de Sevilla/Consejo Superior de Investigaciones Científicas, Seville, Spain 2Department of Vegetal Biochemistry and Molecular Biology, University of Seville, Seville, Spain 3CIBER de Cáncer, Instituto de Salud Carlos III, Madrid, Spain Correspondence to: Amancio Carnero, email: [email protected] Keywords: MAP17; oncogene; inflammation; cancer; inflammatory diseases Received: July 14, 2017 Accepted: August 25, 2017 Published: October 06, 2017 Copyright: García-Heredia et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License 3.0 (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. ABSTRACT Inflammation is a complex defensive response activated after various harmful stimuli allowing the clearance of damaged cells and initiating healing and regenerative processes. Chronic, or pathological, inflammation is also one of the causes of neoplastic transformation and cancer development. MAP17 is a cargo protein that transports membrane proteins from the endoplasmic reticulum. Therefore, its overexpression may be linked to an excess of membrane proteins that may be recognized as an unwanted signal, triggering local inflammation. Therefore, we analyzed whether its overexpression is related to an inflammatory phenotype. In this work, we found a correlation between MAP17 expression and inflammatory phenotype in tumors and in other inflammatory diseases such as Crohn's disease, Barrett's esophagus, COPD or psoriasis. -
Identification and Validation of a Blood-Based 18-Gene Expression Signature in Colorectal Cancer
Published OnlineFirst March 27, 2013; DOI: 10.1158/1078-0432.CCR-12-3851 Clinical Cancer Imaging, Diagnosis, Prognosis Research Identification and Validation of a Blood-Based 18-Gene Expression Signature in Colorectal Cancer Ye Xu1,4, Qinghua Xu1,6,7, Li Yang1,4, Xun Ye6,7, Fang Liu6,7, Fei Wu6,7, Shujuan Ni1,2,3,5, Cong Tan1,2,3,5, Guoxiang Cai1,4, Xia Meng6,7, Sanjun Cai1,4, and Xiang Du1,2,3,5 Abstract Purpose: The early detection of colorectal cancer (CRC) is crucial for successful treatment and patient survival. However, compliance with current screening methods remains poor. This study aimed to identify an accurate blood-based gene expression signature for CRC detection. Experimental Design: Gene expression in peripheral blood samples from 216 patients with CRC tumors and 187 controls was investigated in the study.Wefirstconductedamicroarrayanalysistoselect candidate genes that were significantly differentially expressed between patients with cancer and con- trols. A quantitative reverse transcription PCR assay was then used to evaluate the expression of selected genes. A gene expression signature was identified using a training set (n ¼ 200) and then validated using an independent test set (n ¼ 160). Results: We identified an 18-gene signature that discriminated the patients with CRC from controls with 92% accuracy, 91% sensitivity, and 92% specificity. The signature performance was further validated in the independent test set with 86% accuracy, 84% sensitivity, and 88% specificity. The area under the receiver operating characteristics curve was 0.94. The signature was shown to be enriched in genes related to immune functions. Conclusions: This study identified an 18-gene signature that accurately discriminated patients with CRC from controls in peripheral blood samples. -
Regular Article
Regular Article LYMPHOID NEOPLASIA Opposing regulation of BIM and BCL2 controls glucocorticoid-induced apoptosis of pediatric acute lymphoblastic leukemia cells Duohui Jing,1,2 Vivek A. Bhadri,1,2 Dominik Beck,2,3 Julie A. I. Thoms,2,3 Nurul A. Yakob,1,2 Jason W. H. Wong,2,3 Kathy Knezevic,2,3 John E. Pimanda,2,3,4 and Richard B. Lock1,2 1Children’s Cancer Institute Australia for Medical Research, 2Lowy Cancer Research Centre, and the 3Prince of Wales Clinical School, University of New South Wales, Sydney, Australia; and 4Department of Haematology, Prince of Wales Hospital, Sydney, Australia Key Points Glucocorticoids are critical components of combination chemotherapy regimens in pediatric acute lymphoblastic leukemia (ALL). The proapoptotic BIM protein is an important • The glucocorticoid receptor mediator of glucocorticoid-induced apoptosis in normal and malignant lymphocytes, coordinately regulates the whereas the antiapoptotic BCL2 confers resistance. The signaling pathways regulating BIM antiapoptotic BCL2 and and BCL2 expression in glucocorticoid-treated lymphoid cells remain unclear. In this study, proapoptotic BIM genes in pediatric ALL patient-derived xenografts (PDXs) inherently sensitive or resistant to pediatric ALL cells in vivo. glucocorticoids were exposed to dexamethasone in vivo. Microarray analysis showed KLF13 MYB • GR binding at a novel intronic that and gene expression changes were significantly greater in dexamethasone- sensitive than -resistant PDXs. Chromatin immunoprecipitation (ChIP) analysis detected region is associated with glucocorticoid receptor (GR) binding at the KLF13 promoter to trigger KLF13 expression BIM transcription and only in sensitive PDXs. Next, KLF13 bound to the MYB promoter, deactivating MYB ex- dexamethasone sensitivity in pression only in sensitive PDXs. -
Genetic and Genomic Analysis of Hyperlipidemia, Obesity and Diabetes Using (C57BL/6J × TALLYHO/Jngj) F2 Mice
University of Tennessee, Knoxville TRACE: Tennessee Research and Creative Exchange Nutrition Publications and Other Works Nutrition 12-19-2010 Genetic and genomic analysis of hyperlipidemia, obesity and diabetes using (C57BL/6J × TALLYHO/JngJ) F2 mice Taryn P. Stewart Marshall University Hyoung Y. Kim University of Tennessee - Knoxville, [email protected] Arnold M. Saxton University of Tennessee - Knoxville, [email protected] Jung H. Kim Marshall University Follow this and additional works at: https://trace.tennessee.edu/utk_nutrpubs Part of the Animal Sciences Commons, and the Nutrition Commons Recommended Citation BMC Genomics 2010, 11:713 doi:10.1186/1471-2164-11-713 This Article is brought to you for free and open access by the Nutrition at TRACE: Tennessee Research and Creative Exchange. It has been accepted for inclusion in Nutrition Publications and Other Works by an authorized administrator of TRACE: Tennessee Research and Creative Exchange. For more information, please contact [email protected]. Stewart et al. BMC Genomics 2010, 11:713 http://www.biomedcentral.com/1471-2164/11/713 RESEARCH ARTICLE Open Access Genetic and genomic analysis of hyperlipidemia, obesity and diabetes using (C57BL/6J × TALLYHO/JngJ) F2 mice Taryn P Stewart1, Hyoung Yon Kim2, Arnold M Saxton3, Jung Han Kim1* Abstract Background: Type 2 diabetes (T2D) is the most common form of diabetes in humans and is closely associated with dyslipidemia and obesity that magnifies the mortality and morbidity related to T2D. The genetic contribution to human T2D and related metabolic disorders is evident, and mostly follows polygenic inheritance. The TALLYHO/ JngJ (TH) mice are a polygenic model for T2D characterized by obesity, hyperinsulinemia, impaired glucose uptake and tolerance, hyperlipidemia, and hyperglycemia. -
WO 2019/079361 Al 25 April 2019 (25.04.2019) W 1P O PCT
(12) INTERNATIONAL APPLICATION PUBLISHED UNDER THE PATENT COOPERATION TREATY (PCT) (19) World Intellectual Property Organization I International Bureau (10) International Publication Number (43) International Publication Date WO 2019/079361 Al 25 April 2019 (25.04.2019) W 1P O PCT (51) International Patent Classification: CA, CH, CL, CN, CO, CR, CU, CZ, DE, DJ, DK, DM, DO, C12Q 1/68 (2018.01) A61P 31/18 (2006.01) DZ, EC, EE, EG, ES, FI, GB, GD, GE, GH, GM, GT, HN, C12Q 1/70 (2006.01) HR, HU, ID, IL, IN, IR, IS, JO, JP, KE, KG, KH, KN, KP, KR, KW, KZ, LA, LC, LK, LR, LS, LU, LY, MA, MD, ME, (21) International Application Number: MG, MK, MN, MW, MX, MY, MZ, NA, NG, NI, NO, NZ, PCT/US2018/056167 OM, PA, PE, PG, PH, PL, PT, QA, RO, RS, RU, RW, SA, (22) International Filing Date: SC, SD, SE, SG, SK, SL, SM, ST, SV, SY, TH, TJ, TM, TN, 16 October 2018 (16. 10.2018) TR, TT, TZ, UA, UG, US, UZ, VC, VN, ZA, ZM, ZW. (25) Filing Language: English (84) Designated States (unless otherwise indicated, for every kind of regional protection available): ARIPO (BW, GH, (26) Publication Language: English GM, KE, LR, LS, MW, MZ, NA, RW, SD, SL, ST, SZ, TZ, (30) Priority Data: UG, ZM, ZW), Eurasian (AM, AZ, BY, KG, KZ, RU, TJ, 62/573,025 16 October 2017 (16. 10.2017) US TM), European (AL, AT, BE, BG, CH, CY, CZ, DE, DK, EE, ES, FI, FR, GB, GR, HR, HU, ΓΕ , IS, IT, LT, LU, LV, (71) Applicant: MASSACHUSETTS INSTITUTE OF MC, MK, MT, NL, NO, PL, PT, RO, RS, SE, SI, SK, SM, TECHNOLOGY [US/US]; 77 Massachusetts Avenue, TR), OAPI (BF, BJ, CF, CG, CI, CM, GA, GN, GQ, GW, Cambridge, Massachusetts 02139 (US). -
Modulating Antiviral Response Via CRISPR–Cas Systems
viruses Review Immunity and Viral Infections: Modulating Antiviral Response via CRISPR–Cas Systems Sergey Brezgin 1,2,3,† , Anastasiya Kostyusheva 1,†, Ekaterina Bayurova 4 , Elena Volchkova 5, Vladimir Gegechkori 6 , Ilya Gordeychuk 4,7, Dieter Glebe 8 , Dmitry Kostyushev 1,3,*,‡ and Vladimir Chulanov 1,3,5,‡ 1 National Medical Research Center of Tuberculosis and Infectious Diseases, Ministry of Health, 127994 Moscow, Russia; [email protected] (S.B.); [email protected] (A.K.); [email protected] (V.C.) 2 Institute of Immunology, Federal Medical Biological Agency, 115522 Moscow, Russia 3 Scientific Center for Genetics and Life Sciences, Division of Biotechnology, Sirius University of Science and Technology, 354340 Sochi, Russia 4 Chumakov Federal Scientific Center for Research and Development of Immune-and-Biological Products of Russian Academy of Sciences, 108819 Moscow, Russia; [email protected] (E.B.); [email protected] (I.G.) 5 Department of Infectious Diseases, Sechenov University, 119991 Moscow, Russia; [email protected] 6 Department of Pharmaceutical and Toxicological Chemistry, Sechenov University, 119991 Moscow, Russia; [email protected] 7 Department of Organization and Technology of Immunobiological Drugs, Sechenov University, 119991 Moscow, Russia 8 National Reference Center for Hepatitis B Viruses and Hepatitis D Viruses, Institute of Medical Virology, Justus Liebig University of Giessen, 35392 Giessen, Germany; [email protected] * Correspondence: [email protected] † Co-first authors. Citation: Brezgin, S.; Kostyusheva, ‡ Co-senior authors. A.; Bayurova, E.; Volchkova, E.; Gegechkori, V.; Gordeychuk, I.; Glebe, Abstract: Viral infections cause a variety of acute and chronic human diseases, sometimes resulting D.; Kostyushev, D.; Chulanov, V. Immunity and Viral Infections: in small local outbreaks, or in some cases spreading across the globe and leading to global pandemics. -
Identification of Potential Key Genes and Pathway Linked with Sporadic Creutzfeldt-Jakob Disease Based on Integrated Bioinformatics Analyses
medRxiv preprint doi: https://doi.org/10.1101/2020.12.21.20248688; this version posted December 24, 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. All rights reserved. No reuse allowed without permission. Identification of potential key genes and pathway linked with sporadic Creutzfeldt-Jakob disease based on integrated bioinformatics analyses 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 NOTE: This preprint reports new research that has not been certified by peer review and should not be used to guide clinical practice. medRxiv preprint doi: https://doi.org/10.1101/2020.12.21.20248688; this version posted December 24, 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. All rights reserved. No reuse allowed without permission. Abstract Sporadic Creutzfeldt-Jakob disease (sCJD) is neurodegenerative disease also called prion disease linked with poor prognosis. The aim of the current study was to illuminate the underlying molecular mechanisms of sCJD. The mRNA microarray dataset GSE124571 was downloaded from the Gene Expression Omnibus database. Differentially expressed genes (DEGs) were screened. -
Supplementary Materials
Supplementary materials Supplementary Table S1: MGNC compound library Ingredien Molecule Caco- Mol ID MW AlogP OB (%) BBB DL FASA- HL t Name Name 2 shengdi MOL012254 campesterol 400.8 7.63 37.58 1.34 0.98 0.7 0.21 20.2 shengdi MOL000519 coniferin 314.4 3.16 31.11 0.42 -0.2 0.3 0.27 74.6 beta- shengdi MOL000359 414.8 8.08 36.91 1.32 0.99 0.8 0.23 20.2 sitosterol pachymic shengdi MOL000289 528.9 6.54 33.63 0.1 -0.6 0.8 0 9.27 acid Poricoic acid shengdi MOL000291 484.7 5.64 30.52 -0.08 -0.9 0.8 0 8.67 B Chrysanthem shengdi MOL004492 585 8.24 38.72 0.51 -1 0.6 0.3 17.5 axanthin 20- shengdi MOL011455 Hexadecano 418.6 1.91 32.7 -0.24 -0.4 0.7 0.29 104 ylingenol huanglian MOL001454 berberine 336.4 3.45 36.86 1.24 0.57 0.8 0.19 6.57 huanglian MOL013352 Obacunone 454.6 2.68 43.29 0.01 -0.4 0.8 0.31 -13 huanglian MOL002894 berberrubine 322.4 3.2 35.74 1.07 0.17 0.7 0.24 6.46 huanglian MOL002897 epiberberine 336.4 3.45 43.09 1.17 0.4 0.8 0.19 6.1 huanglian MOL002903 (R)-Canadine 339.4 3.4 55.37 1.04 0.57 0.8 0.2 6.41 huanglian MOL002904 Berlambine 351.4 2.49 36.68 0.97 0.17 0.8 0.28 7.33 Corchorosid huanglian MOL002907 404.6 1.34 105 -0.91 -1.3 0.8 0.29 6.68 e A_qt Magnogrand huanglian MOL000622 266.4 1.18 63.71 0.02 -0.2 0.2 0.3 3.17 iolide huanglian MOL000762 Palmidin A 510.5 4.52 35.36 -0.38 -1.5 0.7 0.39 33.2 huanglian MOL000785 palmatine 352.4 3.65 64.6 1.33 0.37 0.7 0.13 2.25 huanglian MOL000098 quercetin 302.3 1.5 46.43 0.05 -0.8 0.3 0.38 14.4 huanglian MOL001458 coptisine 320.3 3.25 30.67 1.21 0.32 0.9 0.26 9.33 huanglian MOL002668 Worenine -
"Description"" ""Generatio"
TABLE S4 "ID ""Description"" ""GeneRatio"" ""BgRatio"" ""pvalue"" ""p.adjust"" ""qvalue"" ""geneID"" ""Count""" "GO:0003712 ""GO:0003712"" ""transcription coregulator activity"" ""84/1859"" ""454/22744"" 9.49597175224444e-13 9.80933882006851e-10 8.20651874588704e-10 ""Ncoa2/Zfp451/Dhx9/Hnrnpu/Cited2/Ncoa7/Ccar1/ Sirt1/Arid5b/Sirt6/Med1/Rara/Atxn7l3/Ddx5/Wbp2/Hdac9/Zmynd11/Cdyl/ Mier3/Sfmbt1/Gata4/Med4/Basp1/Zfpm2/Zhx2/Ddx17/Mkl2/Hes1/Nrip1/Usp16/ Elob/Rrp1b/Rxrb/Kat2b/Mta3/Hsbp1l1/Tle4/Sfr1/Eid1/Cops2/Sox12/Raly/ Ncoa6/Rbm39/Lpin3/Skil/Jade1/Maml3/Supt20/Med12l/Hdgf/Glmp/Nfib/Jun/ Pex14/Rere/Psmd9/Ncor2/Trim24/Ruvbl1/Rybp/Bhlhe40/Atf7ip/Ube3a/Mef2a/ Nrg1/Rbpms/Cnot7/Sin3b/Pou4f2/Pkn1/Cdyl2/Taf5l/Irf2bp2/Birc2/Yap1/ Skor1/Tfdp2/Rad54l2/Ctnnb1/Limd1/Med14/Rap2c/Tbl1x"" 84" "GO:0003779 ""GO:0003779"" ""actin binding"" ""65/1859"" ""414/22744"" 2.57546466939442e-07 8.86818334494813e-05 7.41914559148359e-05 ""Actr3/Cxcr4/Hnrnpu/Enah/Utrn/Epb41l2/Marcks/Ctnna3/Eef2/Pawr/ Ccdc88a/Anxa6/Gas7/Lasp1/Tns4/Syne2/Sipa1l1/Syne3/Phactr1/Enc1/Pxk/ Vcl/Ang/Myo10/Mtss1/Triobp/Mkl2/Afdn/Daam2/Svil/Ctnna1/Synpo/Myo5b/ Nrap/Ablim1/Shtn1/Fmnl2/Itprid2/Ino80/Pfn2/Myoz2/Pdlim5/Cap1/Macf1/ Epb41/Wasf2/Myom3/Ywhah/Coro1c/Ssh1/Hip1/Ppp1r9a/Wasl/Ctnna2/Mical3/ Eps8/Tlnrd1/Myom2/Klhl2/Sntb2/Spire2/Coro2b/Clasp2/Hdac6/Diaph2"" 65" "GO:0046332 ""GO:0046332"" ""SMAD binding"" ""22/1859"" ""84/22744"" 6.87941766027971e-07 0.000177660961076723 0.000148631628923412 ""Bmpr2/Cited2/Usp15/Ddx5/Axin2/Ppm1a/Yy1/Gata4/Tgif1/Ldlrad4/Smad7/ Acvr2a/Pmepa1/Skil/Trim33/Jun/Mef2a/Ipo7/Skor1/Rnf111/Tcf12/Ctnnb1"" -
Gene Expression Analysis of Mevalonate Kinase Deficiency
International Journal of Environmental Research and Public Health Article Gene Expression Analysis of Mevalonate Kinase Deficiency Affected Children Identifies Molecular Signatures Related to Hematopoiesis Simona Pisanti * , Marianna Citro , Mario Abate , Mariella Caputo and Rosanna Martinelli * Department of Medicine, Surgery and Dentistry ‘Scuola Medica Salernitana’, University of Salerno, Via Salvatore Allende, 84081 Baronissi (SA), Italy; [email protected] (M.C.); [email protected] (M.A.); [email protected] (M.C.) * Correspondence: [email protected] (S.P.); [email protected] (R.M.) Abstract: Mevalonate kinase deficiency (MKD) is a rare autoinflammatory genetic disorder charac- terized by recurrent fever attacks and systemic inflammation with potentially severe complications. Although it is recognized that the lack of protein prenylation consequent to mevalonate pathway blockade drives IL1β hypersecretion, and hence autoinflammation, MKD pathogenesis and the molecular mechanisms underlaying most of its clinical manifestations are still largely unknown. In this study, we performed a comprehensive bioinformatic analysis of a microarray dataset of MKD patients, using gene ontology and Ingenuity Pathway Analysis (IPA) tools, in order to identify the most significant differentially expressed genes and infer their predicted relationships into biological processes, pathways, and networks. We found that hematopoiesis linked biological functions and pathways are predominant in the gene ontology of differentially expressed genes in MKD, in line with the observed clinical feature of anemia. We also provided novel information about the molecular Citation: Pisanti, S.; Citro, M.; Abate, M.; Caputo, M.; Martinelli, R. mechanisms at the basis of the hematological abnormalities observed, that are linked to the chronic Gene Expression Analysis of inflammation and to defective prenylation.