Detection of multiple sclerosis using blood and brain cells transcript profiles: Insights from comprehensive bioinformatics approach
Multiple sclerosis (MS) is a severely disabling disease affecting the brain and spinal cord. The detection of MS at an early stage is difficult. However, detection of MS from blood cell gene expression may ameliorate the early identification of MS. The present study addressed overlapped genes betwee...
Saved in:
| Published in | Informatics in medicine unlocked Vol. 16; p. 100201 |
|---|---|
| Main Authors | , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Elsevier Ltd
2019
Elsevier |
| Subjects | |
| Online Access | Get full text |
| ISSN | 2352-9148 2352-9148 |
| DOI | 10.1016/j.imu.2019.100201 |
Cover
Loading…
| Abstract | Multiple sclerosis (MS) is a severely disabling disease affecting the brain and spinal cord. The detection of MS at an early stage is difficult. However, detection of MS from blood cell gene expression may ameliorate the early identification of MS. The present study addressed overlapped genes between blood cell and brain tissues of MS patients. We analyzed microarray gene expression brain tissue datasets and eQTL data to identify overlapped genes in the blood and brain of MS patients. We identified 23 overlapped differentially expressed genes (DEGs) (PWP2, UPK3BL, NFATC3, NPIPA5, KNOP1, PIK3C2B, LDLRAP1, HN1L, FAM226B, STAG3L2, ZNF814, BMS1P5, SDCCAG8, CLN8, ARHGEF7, NEAT1, ANKRD42, C5orf34, DOK6, PKN2, SP1, DBF4B, VAMP3) in the blood cells and brain tissues of MS patients. The axon guidance mediated and postsynaptic differentiation associated pathways were enriched by the DEGs. The significant regulatory transcription factors (TFs) including SP1, ARNT, MEF2A, YY1, EGR1, MIF, FOS, NFYA, TFAP2A, MYC, USF, MXI1, JUN, MAX, E2F1, POU3F2, GABPA, TFAP2C, CUX1, 2623, SPI1 and microRNAs (miRNAs) including miR-650, miR-223, miR-9, miR-181b, miR-190, miR-561, miR-520c-3p, miR-658, miR-199b-5p, miR-660, miR-20 were identified in MS. The candidate drugs were determined from drug target overrepresentation analysis. This study provides biomarkers at protein levels (hub proteins and TFs) and RNA levels (mRNAs, miRNAs) in MS subjects that were similarly dysregulated in both blood and brain tissues. |
|---|---|
| AbstractList | Multiple sclerosis (MS) is a severely disabling disease affecting the brain and spinal cord. The detection of MS at an early stage is difficult. However, detection of MS from blood cell gene expression may ameliorate the early identification of MS. The present study addressed overlapped genes between blood cell and brain tissues of MS patients. We analyzed microarray gene expression brain tissue datasets and eQTL data to identify overlapped genes in the blood and brain of MS patients. We identified 23 overlapped differentially expressed genes (DEGs) (PWP2, UPK3BL, NFATC3, NPIPA5, KNOP1, PIK3C2B, LDLRAP1, HN1L, FAM226B, STAG3L2, ZNF814, BMS1P5, SDCCAG8, CLN8, ARHGEF7, NEAT1, ANKRD42, C5orf34, DOK6, PKN2, SP1, DBF4B, VAMP3) in the blood cells and brain tissues of MS patients. The axon guidance mediated and postsynaptic differentiation associated pathways were enriched by the DEGs. The significant regulatory transcription factors (TFs) including SP1, ARNT, MEF2A, YY1, EGR1, MIF, FOS, NFYA, TFAP2A, MYC, USF, MXI1, JUN, MAX, E2F1, POU3F2, GABPA, TFAP2C, CUX1, 2623, SPI1 and microRNAs (miRNAs) including miR-650, miR-223, miR-9, miR-181b, miR-190, miR-561, miR-520c-3p, miR-658, miR-199b-5p, miR-660, miR-20 were identified in MS. The candidate drugs were determined from drug target overrepresentation analysis. This study provides biomarkers at protein levels (hub proteins and TFs) and RNA levels (mRNAs, miRNAs) in MS subjects that were similarly dysregulated in both blood and brain tissues. Keywords: Multiple sclerosis, Molecular biomarkers, Blood-brain common gene, Differentially expressed genes, Protein-protein interaction, cis-eQTL, Transcription factors, microRNAs Multiple sclerosis (MS) is a severely disabling disease affecting the brain and spinal cord. The detection of MS at an early stage is difficult. However, detection of MS from blood cell gene expression may ameliorate the early identification of MS. The present study addressed overlapped genes between blood cell and brain tissues of MS patients. We analyzed microarray gene expression brain tissue datasets and eQTL data to identify overlapped genes in the blood and brain of MS patients. We identified 23 overlapped differentially expressed genes (DEGs) (PWP2, UPK3BL, NFATC3, NPIPA5, KNOP1, PIK3C2B, LDLRAP1, HN1L, FAM226B, STAG3L2, ZNF814, BMS1P5, SDCCAG8, CLN8, ARHGEF7, NEAT1, ANKRD42, C5orf34, DOK6, PKN2, SP1, DBF4B, VAMP3) in the blood cells and brain tissues of MS patients. The axon guidance mediated and postsynaptic differentiation associated pathways were enriched by the DEGs. The significant regulatory transcription factors (TFs) including SP1, ARNT, MEF2A, YY1, EGR1, MIF, FOS, NFYA, TFAP2A, MYC, USF, MXI1, JUN, MAX, E2F1, POU3F2, GABPA, TFAP2C, CUX1, 2623, SPI1 and microRNAs (miRNAs) including miR-650, miR-223, miR-9, miR-181b, miR-190, miR-561, miR-520c-3p, miR-658, miR-199b-5p, miR-660, miR-20 were identified in MS. The candidate drugs were determined from drug target overrepresentation analysis. This study provides biomarkers at protein levels (hub proteins and TFs) and RNA levels (mRNAs, miRNAs) in MS subjects that were similarly dysregulated in both blood and brain tissues. |
| ArticleNumber | 100201 |
| Author | Quinn, Julian M.W. Rahman, Md. Rezanur Karim, Md. Rezaul Huq, Fazlul Moni, Mohammad Ali Islam, Tania |
| Author_xml | – sequence: 1 givenname: Tania surname: Islam fullname: Islam, Tania organization: Department of Biotechnology and Genetic Engineering, Islamic University, Kushtia, 7003, Bangladesh – sequence: 2 givenname: Md. Rezanur surname: Rahman fullname: Rahman, Md. Rezanur email: rezanur12@yahoo.com organization: Department of Biochemistry and Biotechnology, School of Biomedical Science, Khwaja Yunus Ali University, Sirajgonj, 6751, Bangladesh – sequence: 3 givenname: Md. Rezaul surname: Karim fullname: Karim, Md. Rezaul organization: Department of Biochemistry and Biotechnology, School of Biomedical Science, Khwaja Yunus Ali University, Sirajgonj, 6751, Bangladesh – sequence: 4 givenname: Fazlul surname: Huq fullname: Huq, Fazlul organization: The University of Sydney, Faculty of Medicine and Health, School of Medical Sciences, Discipline of Pathology, NSW, 2006, Australia – sequence: 5 givenname: Julian M.W. surname: Quinn fullname: Quinn, Julian M.W. organization: Bone Biology Division, Garvan Institute of Medical Research, Darlinghurst, NSW, 2010, Australia – sequence: 6 givenname: Mohammad Ali surname: Moni fullname: Moni, Mohammad Ali email: mohammad.moni@sydney.edu.au organization: The University of Sydney, Faculty of Medicine and Health, School of Medical Sciences, Discipline of Pathology, NSW, 2006, Australia |
| BookMark | eNp9kU2LFDEQhoOs4LruD_CWPzBj0umv6EnWr4GFvaznUKlOZmpIJ03Ss-DdH27GEREPe6qk4Hkp3uc1u4opOsbeSrGVQvbvjluaT9tGSF3_os4X7LpRXbPRsh2v_nm_YrelHIUQcuhVN3TX7OcntzpcKUWePJ9PYaUlOF4wuJwKFX4qFPfchpQmDnHiNgNFji6EwtcMsWCmZeVLTp6CK-_5LhbaH9bCfU4zxzQv2R1cXT45bilR9CnPsBIWDkvFAA9v2EsPobjbP_OGff_y-fHu2-b-4evu7uP9BlUj5UYK1La3qpsEeumtwqZvWq0Bhlb1rRL95JuhQz0pZXscfCulVSBbDaqz1qkbtrvkTgmOZsk0Q_5hEpD5vUh5byDXy4IzfpzGVgJIa0Xbg9WjE1rjOIhhRDuqmiUvWVh7Ktn5v3lSmLMVczTVijlbMRcrlRn-Y5BWOJdfm6TwLPnhQrpazxO5bAqSi-gmylVfvZ-eoX8BmC2r5A |
| CitedBy_id | crossref_primary_10_1016_j_imu_2019_100250 crossref_primary_10_1186_s12864_022_08580_y crossref_primary_10_1016_j_compbiomed_2019_103385 crossref_primary_10_1089_omi_2022_0023 crossref_primary_10_1093_bib_bbaa365 crossref_primary_10_1016_j_imu_2020_100448 crossref_primary_10_1016_j_imu_2020_100309 crossref_primary_10_1109_ACCESS_2019_2960037 crossref_primary_10_1049_iet_syb_2019_0074 crossref_primary_10_1016_j_imu_2019_100207 crossref_primary_10_1177_09636897241233045 crossref_primary_10_4103_abr_abr_268_20 crossref_primary_10_1016_j_imu_2019_100274 |
| Cites_doi | 10.1038/nprot.2015.052 10.1016/j.jaut.2011.11.004 10.1038/nrneurol.2014.189 10.3389/fimmu.2018.01256 10.1586/14737175.2013.865866 10.1016/j.compbiolchem.2018.12.011 10.1093/nar/gkw937 10.1093/nar/gkw377 10.3389/fimmu.2015.00133 10.3389/fimmu.2017.01810 10.2174/138920207780833829 10.3390/ijms19113652 10.1101/cshperspect.a007260 10.3389/fnbeh.2017.00035 10.1172/JCI86841 10.1177/1352458516684213 10.1586/1744666X.2015.991315 10.1080/08820139.2018.1433203 10.1186/s12974-018-1290-6 10.1016/j.jneuroim.2018.06.009 10.1038/srep34512 10.1093/bioinformatics/btv313 10.1093/brain/awp300 10.1371/journal.pone.0014176 10.7717/peerj.2775 10.1038/s41467-018-04558-1 10.1177/1352458513490542 10.1089/omi.2018.0048 10.1155/2016/4578230 10.1126/science.1062960 10.1016/j.nbd.2009.11.014 10.3389/fimmu.2017.00758 10.1155/2014/525097 10.1093/hmg/ddn388 10.1093/nar/gks1193 10.1111/gbb.12408 10.1371/journal.pcbi.1001095 10.1016/j.autrev.2015.07.014 10.1038/s41598-017-09286-y 10.1007/s00251-008-0295-1 |
| ContentType | Journal Article |
| Copyright | 2019 |
| Copyright_xml | – notice: 2019 |
| DBID | 6I. AAFTH AAYXX CITATION DOA |
| DOI | 10.1016/j.imu.2019.100201 |
| DatabaseName | ScienceDirect Open Access Titles Elsevier:ScienceDirect:Open Access CrossRef DOAJ: Directory of Open Access Journals |
| DatabaseTitle | CrossRef |
| DatabaseTitleList | |
| Database_xml | – sequence: 1 dbid: DOA name: DOAJ: Directory of Open Access Journals url: https://www.doaj.org/ sourceTypes: Open Website |
| DeliveryMethod | fulltext_linktorsrc |
| EISSN | 2352-9148 |
| ExternalDocumentID | oai_doaj_org_article_f8d841aa1bb046ab98e099c87078cb83 10_1016_j_imu_2019_100201 S2352914819301273 |
| GroupedDBID | 0R~ 0SF 6I. AACTN AAEDW AAFTH AALRI AAXUO ABMAC ACGFS ADBBV AEXQZ AFTJW AITUG ALMA_UNASSIGNED_HOLDINGS AMRAJ BCNDV EBS EJD FDB GROUPED_DOAJ KQ8 M41 M~E NCXOZ O9- OK1 RIG ROL SSZ AAYWO AAYXX ACVFH ADCNI ADVLN AEUPX AFJKZ AFPUW AIGII AKBMS AKRWK AKYEP APXCP CITATION |
| ID | FETCH-LOGICAL-c3211-10c9b6b35d0cf1fb3c262499aa74364306df275c9d33b6c7f411b3a149a35bbe3 |
| IEDL.DBID | DOA |
| ISSN | 2352-9148 |
| IngestDate | Wed Aug 27 01:21:17 EDT 2025 Thu Apr 24 23:01:40 EDT 2025 Tue Jul 01 01:29:34 EDT 2025 Tue Jul 25 21:15:45 EDT 2023 |
| IsDoiOpenAccess | true |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Keywords | microRNAs Multiple sclerosis Differentially expressed genes Transcription factors Protein-protein interaction Blood-brain common gene Molecular biomarkers cis-eQTL |
| Language | English |
| License | This is an open access article under the CC BY-NC-ND license. |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c3211-10c9b6b35d0cf1fb3c262499aa74364306df275c9d33b6c7f411b3a149a35bbe3 |
| OpenAccessLink | https://doaj.org/article/f8d841aa1bb046ab98e099c87078cb83 |
| ParticipantIDs | doaj_primary_oai_doaj_org_article_f8d841aa1bb046ab98e099c87078cb83 crossref_primary_10_1016_j_imu_2019_100201 crossref_citationtrail_10_1016_j_imu_2019_100201 elsevier_sciencedirect_doi_10_1016_j_imu_2019_100201 |
| ProviderPackageCode | CITATION AAYXX |
| PublicationCentury | 2000 |
| PublicationDate | 2019 2019-00-00 2019-01-01 |
| PublicationDateYYYYMMDD | 2019-01-01 |
| PublicationDate_xml | – year: 2019 text: 2019 |
| PublicationDecade | 2010 |
| PublicationTitle | Informatics in medicine unlocked |
| PublicationYear | 2019 |
| Publisher | Elsevier Ltd Elsevier |
| Publisher_xml | – name: Elsevier Ltd – name: Elsevier |
| References | Chabas, Baranzini, Mitchell, Bernard, Rittling, Denhardt (bib32) 2001; 294 Lei, Deng, Liu, Liao, Dai, Li (bib33) 2018; 53 Islam, Rahman, Gov, Turanli, Gulfidan, Haque (bib27) 2018; 22 Menon, Di Dario, Cordiglieri, Musio, La Mantia, Milanese (bib29) 2012; 38 Rahim, Becquart, Baeva, Quandt (bib37) 2018; 15 Brynedal, Khademi, Wallstrom, Hillert, Olsson, Duvefelt (bib3) 2010; 37 Riveros, Mellor, Gandhi, McKay, Cox, Berretta (bib38) 2010; 5 Safari-Alighiarloo, Rezaei-Tavirani, Taghizadeh, Tabatabaei, Namaki (bib12) 2016; 4 Qi, Wu, Zeng, Zhang, Xue, Jiang (bib18) 2018; 9 Rahman, Islam, Shahjaman, Zaman, Faruquee, Jamal (bib25) 2019; 55 Kim, Wuchty, Przytycka (bib5) 2011; 7 Hashizume, Yamanaka, Ueda (bib42) 2018; 17 Rahman, Islam, Gov, Turanli, Gulfidan, Shahjaman (bib26) 2019; 55 Ascherio (bib1) 2013; 13 Szklarczyk, Morris, Cook, Kuhn, Wyder, Simonovic (bib20) 2017; 45 Wu, Chen, Liu, Lai, Liu (bib45) 2018; 16 Svejgaard (bib2) 2008; 60 Malkki (bib7) 2014; 10 Kuleshov, Jones, Rouillard, Fernandez, Duan, Wang (bib19) 2016; 44 Harris, Tuddenham, Sadiq (bib8) 2017; 7 Raphael, Webb, Stuve, Haskins, Forsthuber (bib9) 2015; 11 Rahman, Islam, Shahjaman, Quinn, Holsinger, Moni (bib24) 2019 Chen, Zhou, Wang, Yan, Peng, Qiu (bib36) 2018; 9 Gharibi, Moghimi, Tahoori, Mahmudi, Shahvazian, Yazd (bib50) 2018; 5 Baranzini, Wang, Gibson, Galwey, Naegelin, Barkhof (bib41) 2009; 18 Collins, DeCourcey, Soledad di Luca, Rochfort, Loscher (bib28) 2015; 6 Nuzziello, Vilardo, Pelucchi, Consiglio, Liuni, Trojano (bib35) 2018; 19 Srinivasan, Severa, Rizzo, Menon, Brini, Mechelli (bib11) 2017; 7 Fagone, Mazzon, Cavalli, Bramanti, Petralia, Mangano (bib40) 2018; 322 Tajouri, Fernandez, Griffiths (bib14) 2007; 8 D'Ambrosio, Pontecorvo, Colasanti, Zamboni, Francia, Margutti (bib6) 2015; 14 Junker, Krumbholz, Eisele, Mohan, Augstein, Bittner (bib47) 2009; 132 Goris, Liston (bib4) 2012; 4 Yazdanpanahi, Etemadifar, Kardi, Shams, Shahbazi (bib16) 2018; 47 Ghorbani, Talebi, Chan, Masoumi, Vojgani, Power (bib48) 2017; 8 Sabha, Volpatti, Gonorazky, Reifler, Davidson, Li (bib31) 2016; 126 Rahman, Islam, Turanli, Zaman, Faruquee, Rahman (bib23) 2019; 78 Robelin, Gonzalez De Aguilar (bib10) 2014; 2014 Sondergaard, Hesse, Krakauer, Sorensen, Sellebjerg (bib44) 2013; 19 Majd, Hosseini, Ghaedi, Kiani-Esfahani, Tanhaei, Shiralian-Esfahani (bib49) 2018; 21 Hendrickx, van Scheppingen, van der Poel, Bossers, Schuurman, van Eden (bib15) 2017; 8 Barrett, Wilhite, Ledoux, Evangelista, Kim, Tomashevsky (bib17) 2013; 41 Lucchese, Spinosa, Kanduc (bib34) 2014; 2014 Wu, Chen (bib43) 2016; 2016 Quintana, Ortega, Robles-Cedeno, Villar, Buxo, Mercader (bib46) 2017; 23 Yoo, Shin, Kim, Ryall, Lee, Lee (bib22) 2015; 31 Duclot, Kabbaj (bib39) 2017; 11 Wang, Liu, Li, Lin, Fang, Backer (bib30) 2012; 4 Xia, Gill, Hancock (bib21) 2015; 10 Freiesleben, Hecker, Zettl, Fuellen, Taher (bib13) 2016; 6 Rahim (10.1016/j.imu.2019.100201_bib37) 2018; 15 Fagone (10.1016/j.imu.2019.100201_bib40) 2018; 322 Baranzini (10.1016/j.imu.2019.100201_bib41) 2009; 18 Hashizume (10.1016/j.imu.2019.100201_bib42) 2018; 17 Ghorbani (10.1016/j.imu.2019.100201_bib48) 2017; 8 Malkki (10.1016/j.imu.2019.100201_bib7) 2014; 10 Safari-Alighiarloo (10.1016/j.imu.2019.100201_bib12) 2016; 4 Rahman (10.1016/j.imu.2019.100201_bib26) 2019; 55 Quintana (10.1016/j.imu.2019.100201_bib46) 2017; 23 Junker (10.1016/j.imu.2019.100201_bib47) 2009; 132 D'Ambrosio (10.1016/j.imu.2019.100201_bib6) 2015; 14 Raphael (10.1016/j.imu.2019.100201_bib9) 2015; 11 Lei (10.1016/j.imu.2019.100201_bib33) 2018; 53 Srinivasan (10.1016/j.imu.2019.100201_bib11) 2017; 7 Wu (10.1016/j.imu.2019.100201_bib45) 2018; 16 Riveros (10.1016/j.imu.2019.100201_bib38) 2010; 5 Kim (10.1016/j.imu.2019.100201_bib5) 2011; 7 Rahman (10.1016/j.imu.2019.100201_bib25) 2019; 55 Duclot (10.1016/j.imu.2019.100201_bib39) 2017; 11 Qi (10.1016/j.imu.2019.100201_bib18) 2018; 9 Rahman (10.1016/j.imu.2019.100201_bib24) 2019 Menon (10.1016/j.imu.2019.100201_bib29) 2012; 38 Svejgaard (10.1016/j.imu.2019.100201_bib2) 2008; 60 Goris (10.1016/j.imu.2019.100201_bib4) 2012; 4 Majd (10.1016/j.imu.2019.100201_bib49) 2018; 21 Gharibi (10.1016/j.imu.2019.100201_bib50) 2018; 5 Sabha (10.1016/j.imu.2019.100201_bib31) 2016; 126 Chabas (10.1016/j.imu.2019.100201_bib32) 2001; 294 Wu (10.1016/j.imu.2019.100201_bib43) 2016; 2016 Chen (10.1016/j.imu.2019.100201_bib36) 2018; 9 Szklarczyk (10.1016/j.imu.2019.100201_bib20) 2017; 45 Sondergaard (10.1016/j.imu.2019.100201_bib44) 2013; 19 Islam (10.1016/j.imu.2019.100201_bib27) 2018; 22 Barrett (10.1016/j.imu.2019.100201_bib17) 2013; 41 Brynedal (10.1016/j.imu.2019.100201_bib3) 2010; 37 Robelin (10.1016/j.imu.2019.100201_bib10) 2014; 2014 Rahman (10.1016/j.imu.2019.100201_bib23) 2019; 78 Tajouri (10.1016/j.imu.2019.100201_bib14) 2007; 8 Yazdanpanahi (10.1016/j.imu.2019.100201_bib16) 2018; 47 Harris (10.1016/j.imu.2019.100201_bib8) 2017; 7 Yoo (10.1016/j.imu.2019.100201_bib22) 2015; 31 Ascherio (10.1016/j.imu.2019.100201_bib1) 2013; 13 Collins (10.1016/j.imu.2019.100201_bib28) 2015; 6 Kuleshov (10.1016/j.imu.2019.100201_bib19) 2016; 44 Hendrickx (10.1016/j.imu.2019.100201_bib15) 2017; 8 Xia (10.1016/j.imu.2019.100201_bib21) 2015; 10 Wang (10.1016/j.imu.2019.100201_bib30) 2012; 4 Lucchese (10.1016/j.imu.2019.100201_bib34) 2014; 2014 Freiesleben (10.1016/j.imu.2019.100201_bib13) 2016; 6 Nuzziello (10.1016/j.imu.2019.100201_bib35) 2018; 19 |
| References_xml | – volume: 132 start-page: 3342 year: 2009 end-page: 3352 ident: bib47 article-title: MicroRNA profiling of multiple sclerosis lesions identifies modulators of the regulatory protein CD47 publication-title: Brain – volume: 5 year: 2010 ident: bib38 article-title: A transcription factor map as revealed by a genome-wide gene expression analysis of whole-blood mRNA transcriptome in multiple sclerosis publication-title: PLoS One – volume: 60 start-page: 275 year: 2008 end-page: 286 ident: bib2 article-title: The immunogenetics of multiple sclerosis publication-title: Immunogenetics – volume: 14 start-page: 1097 year: 2015 end-page: 1110 ident: bib6 article-title: Peripheral blood biomarkers in multiple sclerosis publication-title: Autoimmun Rev – volume: 53 start-page: 1980 year: 2018 end-page: 1996 ident: bib33 article-title: ARHGEF7 promotes metastasis of colorectal adenocarcinoma by regulating the motility of cancer cells publication-title: Int J Oncol – volume: 19 start-page: 1849 year: 2013 end-page: 1857 ident: bib44 article-title: Differential microRNA expression in blood in multiple sclerosis publication-title: Mult Scler – volume: 44 start-page: W90 year: 2016 end-page: W97 ident: bib19 article-title: Enrichr: a comprehensive gene set enrichment analysis web server 2016 update publication-title: Nucleic Acids Res – start-page: 482828 year: 2019 ident: bib24 article-title: Identification of common molecular biomarker signatures in blood and brain of Alzheimers disease publication-title: bioRxiv – volume: 45 start-page: D362 year: 2017 end-page: D368 ident: bib20 article-title: The STRING database in 2017: quality-controlled protein-protein association networks, made broadly accessible publication-title: Nucleic Acids Res – volume: 10 start-page: 823 year: 2015 end-page: 844 ident: bib21 article-title: NetworkAnalyst for statistical, visual and network-based meta-analysis of gene expression data publication-title: Nat Protoc – volume: 15 start-page: 270 year: 2018 ident: bib37 article-title: Expression of the neuroprotective protein aryl hydrocarbon receptor nuclear translocator 2 correlates with neuronal stress and disability in models of multiple sclerosis publication-title: J Neuroinflammation – volume: 9 start-page: 2282 year: 2018 ident: bib18 article-title: Identifying gene targets for brain-related traits using transcriptomic and methylomic data from blood publication-title: Nat Commun – volume: 294 start-page: 1731 year: 2001 end-page: 1735 ident: bib32 article-title: The influence of the proinflammatory cytokine, osteopontin, on autoimmune demyelinating disease publication-title: Science – volume: 13 start-page: 3 year: 2013 end-page: 9 ident: bib1 article-title: Environmental factors in multiple sclerosis publication-title: Expert Rev Neurother – volume: 7 start-page: 8981 year: 2017 ident: bib11 article-title: Transcriptional dysregulation of interferome in experimental and human multiple sclerosis publication-title: Sci Rep – volume: 5 start-page: 237 year: 2018 end-page: 245 ident: bib50 article-title: The mir-223: an inflammatory MicroRNA involved in pathogenesis of multiple sclerosis TT - --- publication-title: Int J Med Lab – volume: 10 start-page: 612 year: 2014 ident: bib7 article-title: Blood-based biomarkers provide insight into progressive MS publication-title: Nat Rev Neurol – volume: 55 year: 2019 ident: bib25 article-title: Discovering biomarkers and pathways shared by alzheimer's disease and ischemic stroke to identify novel therapeutic targets publication-title: Medicina (Kaunas) – volume: 21 start-page: 277 year: 2018 end-page: 283 ident: bib49 article-title: MiR-9-5p and miR-106a-5p dysregulated in CD4(+) T-cells of multiple sclerosis patients and targeted essential factors of T helper17/regulatory T-cells differentiation publication-title: Iran J Basic Med Sci – volume: 11 start-page: 69 year: 2015 end-page: 91 ident: bib9 article-title: Body fluid biomarkers in multiple sclerosis: how far we have come and how they could affect the clinic now and in the future publication-title: Expert Rev Clin Immunol – volume: 22 start-page: 422 year: 2018 end-page: 436 ident: bib27 article-title: Drug targeting and biomarkers in head and neck cancers: insights from systems biology analyses publication-title: OMICS – volume: 2016 start-page: 4578230 year: 2016 ident: bib43 article-title: miRNAs participate in MS pathological processes and its therapeutic response publication-title: Mediat Inflamm – volume: 55 year: 2019 ident: bib26 article-title: Identification of prognostic biomarker signatures and candidate drugs in colorectal cancer: insights from systems biology analysis publication-title: Medicina (Kaunas) – volume: 38 start-page: J144 year: 2012 end-page: J155 ident: bib29 article-title: Gender-based blood transcriptomes and interactomes in multiple sclerosis: involvement of SP1 dependent gene transcription publication-title: J Autoimmun – volume: 322 start-page: 46 year: 2018 end-page: 56 ident: bib40 article-title: Contribution of the macrophage migration inhibitory factor superfamily of cytokines in the pathogenesis of preclinical and human multiple sclerosis: in silico and in vivo evidences publication-title: J Neuroimmunol – volume: 4 year: 2016 ident: bib12 article-title: Network-based analysis of differentially expressed genes in cerebrospinal fluid (CSF) and blood reveals new candidate genes for multiple sclerosis publication-title: PeerJ – volume: 8 start-page: 181 year: 2007 end-page: 189 ident: bib14 article-title: Gene expression studies in multiple sclerosis publication-title: Curr Genom – volume: 6 start-page: 34512 year: 2016 ident: bib13 article-title: Analysis of microRNA and gene expression Profiles in multiple sclerosis: integrating interaction data to uncover regulatory mechanisms publication-title: Sci Rep – volume: 31 start-page: 3069 year: 2015 end-page: 3071 ident: bib22 article-title: DSigDB: drug signatures database for gene set analysis publication-title: Bioinformatics – volume: 8 start-page: 758 year: 2017 ident: bib48 article-title: MicroRNA-181 variants regulate T cell phenotype in the context of autoimmune neuroinflammation publication-title: Front Immunol – volume: 37 start-page: 613 year: 2010 end-page: 621 ident: bib3 article-title: Gene expression profiling in multiple sclerosis: a disease of the central nervous system, but with relapses triggered in the periphery? publication-title: Neurobiol Dis – volume: 11 start-page: 35 year: 2017 ident: bib39 article-title: The role of early growth response 1 (EGR1) in brain plasticity and neuropsychiatric disorders publication-title: Front Behav Neurosci – volume: 9 start-page: 1256 year: 2018 ident: bib36 article-title: Dysregulated MicroRNA involvement in multiple sclerosis by induction of T helper 17 cell differentiation publication-title: Front Immunol – volume: 4 start-page: 347 year: 2012 end-page: 356 ident: bib30 article-title: A hypermorphic SP1-binding CD24 variant associates with risk and progression of multiple sclerosis publication-title: Am J Transl Res – volume: 4 year: 2012 ident: bib4 article-title: The immunogenetic architecture of autoimmune disease publication-title: Cold Spring Harb Perspect Biol – volume: 2014 start-page: 525097 year: 2014 ident: bib10 article-title: Blood biomarkers for amyotrophic lateral sclerosis: myth or reality? publication-title: BioMed Res Int – volume: 7 year: 2011 ident: bib5 article-title: Identifying causal genes and dysregulated pathways in complex diseases publication-title: PLoS Comput Biol – volume: 41 start-page: 991 year: 2013 end-page: 995 ident: bib17 article-title: NCBI GEO: archive for functional genomics data sets - Update publication-title: Nucleic Acids Res – volume: 23 start-page: 1716 year: 2017 end-page: 1726 ident: bib46 article-title: miRNAs in cerebrospinal fluid identify patients with MS and specifically those with lipid-specific oligoclonal IgM bands publication-title: Mult Scler – volume: 18 start-page: 767 year: 2009 end-page: 778 ident: bib41 article-title: Genome-wide association analysis of susceptibility and clinical phenotype in multiple sclerosis publication-title: Hum Mol Genet – volume: 2014 start-page: 236309 year: 2014 ident: bib34 article-title: The peptide network between tetanus toxin and human proteins associated with epilepsy publication-title: Epilepsy Res Treat – volume: 16 start-page: 4889 year: 2018 end-page: 4896 ident: bib45 article-title: miR-199b-5p inhibits triple negative breast cancer cell proliferation, migration and invasion by targeting DDR1 publication-title: Oncol Lett – volume: 47 start-page: 351 year: 2018 end-page: 359 ident: bib16 article-title: Investigation of ERG gene expression in Iranian patients with multiple sclerosis publication-title: Immunol Investig – volume: 6 start-page: 133 year: 2015 ident: bib28 article-title: An emerging role for SNARE proteins in dendritic cell function publication-title: Front Immunol – volume: 126 start-page: 3613 year: 2016 end-page: 3625 ident: bib31 article-title: PIK3C2B inhibition improves function and prolongs survival in myotubular myopathy animal models publication-title: J Clin Investig – volume: 19 year: 2018 ident: bib35 article-title: Investigating the role of MicroRNA and transcription factor Co-regulatory networks in multiple sclerosis pathogenesis publication-title: Int J Mol Sci – volume: 78 start-page: 431 year: 2019 end-page: 439 ident: bib23 article-title: Network-based approach to identify molecular signatures and therapeutic agents in Alzheimer's disease publication-title: Comput Biol Chem – volume: 7 start-page: 19 year: 2017 end-page: 29 ident: bib8 article-title: Biomarkers of multiple sclerosis: current findings publication-title: Degener Neurol Neuromuscul Dis – volume: 17 start-page: 118 year: 2018 end-page: 125 ident: bib42 article-title: POU3F2 participates in cognitive function and adult hippocampal neurogenesis via mammalian-characteristic amino acid repeats publication-title: Genes Brain Behav – volume: 8 start-page: 1810 year: 2017 ident: bib15 article-title: Gene expression profiling of multiple sclerosis pathology identifies early patterns of demyelination surrounding chronic active lesions publication-title: Front Immunol – volume: 10 start-page: 823 year: 2015 ident: 10.1016/j.imu.2019.100201_bib21 article-title: NetworkAnalyst for statistical, visual and network-based meta-analysis of gene expression data publication-title: Nat Protoc doi: 10.1038/nprot.2015.052 – volume: 38 start-page: J144 year: 2012 ident: 10.1016/j.imu.2019.100201_bib29 article-title: Gender-based blood transcriptomes and interactomes in multiple sclerosis: involvement of SP1 dependent gene transcription publication-title: J Autoimmun doi: 10.1016/j.jaut.2011.11.004 – volume: 5 start-page: 237 year: 2018 ident: 10.1016/j.imu.2019.100201_bib50 article-title: The mir-223: an inflammatory MicroRNA involved in pathogenesis of multiple sclerosis TT - --- publication-title: Int J Med Lab – volume: 10 start-page: 612 year: 2014 ident: 10.1016/j.imu.2019.100201_bib7 article-title: Blood-based biomarkers provide insight into progressive MS publication-title: Nat Rev Neurol doi: 10.1038/nrneurol.2014.189 – volume: 9 start-page: 1256 year: 2018 ident: 10.1016/j.imu.2019.100201_bib36 article-title: Dysregulated MicroRNA involvement in multiple sclerosis by induction of T helper 17 cell differentiation publication-title: Front Immunol doi: 10.3389/fimmu.2018.01256 – volume: 55 year: 2019 ident: 10.1016/j.imu.2019.100201_bib25 article-title: Discovering biomarkers and pathways shared by alzheimer's disease and ischemic stroke to identify novel therapeutic targets publication-title: Medicina (Kaunas) – start-page: 482828 year: 2019 ident: 10.1016/j.imu.2019.100201_bib24 article-title: Identification of common molecular biomarker signatures in blood and brain of Alzheimers disease publication-title: bioRxiv – volume: 13 start-page: 3 year: 2013 ident: 10.1016/j.imu.2019.100201_bib1 article-title: Environmental factors in multiple sclerosis publication-title: Expert Rev Neurother doi: 10.1586/14737175.2013.865866 – volume: 78 start-page: 431 year: 2019 ident: 10.1016/j.imu.2019.100201_bib23 article-title: Network-based approach to identify molecular signatures and therapeutic agents in Alzheimer's disease publication-title: Comput Biol Chem doi: 10.1016/j.compbiolchem.2018.12.011 – volume: 45 start-page: D362 year: 2017 ident: 10.1016/j.imu.2019.100201_bib20 article-title: The STRING database in 2017: quality-controlled protein-protein association networks, made broadly accessible publication-title: Nucleic Acids Res doi: 10.1093/nar/gkw937 – volume: 7 start-page: 19 year: 2017 ident: 10.1016/j.imu.2019.100201_bib8 article-title: Biomarkers of multiple sclerosis: current findings publication-title: Degener Neurol Neuromuscul Dis – volume: 44 start-page: W90 year: 2016 ident: 10.1016/j.imu.2019.100201_bib19 article-title: Enrichr: a comprehensive gene set enrichment analysis web server 2016 update publication-title: Nucleic Acids Res doi: 10.1093/nar/gkw377 – volume: 6 start-page: 133 year: 2015 ident: 10.1016/j.imu.2019.100201_bib28 article-title: An emerging role for SNARE proteins in dendritic cell function publication-title: Front Immunol doi: 10.3389/fimmu.2015.00133 – volume: 8 start-page: 1810 year: 2017 ident: 10.1016/j.imu.2019.100201_bib15 article-title: Gene expression profiling of multiple sclerosis pathology identifies early patterns of demyelination surrounding chronic active lesions publication-title: Front Immunol doi: 10.3389/fimmu.2017.01810 – volume: 2014 start-page: 236309 year: 2014 ident: 10.1016/j.imu.2019.100201_bib34 article-title: The peptide network between tetanus toxin and human proteins associated with epilepsy publication-title: Epilepsy Res Treat – volume: 8 start-page: 181 year: 2007 ident: 10.1016/j.imu.2019.100201_bib14 article-title: Gene expression studies in multiple sclerosis publication-title: Curr Genom doi: 10.2174/138920207780833829 – volume: 19 year: 2018 ident: 10.1016/j.imu.2019.100201_bib35 article-title: Investigating the role of MicroRNA and transcription factor Co-regulatory networks in multiple sclerosis pathogenesis publication-title: Int J Mol Sci doi: 10.3390/ijms19113652 – volume: 4 year: 2012 ident: 10.1016/j.imu.2019.100201_bib4 article-title: The immunogenetic architecture of autoimmune disease publication-title: Cold Spring Harb Perspect Biol doi: 10.1101/cshperspect.a007260 – volume: 11 start-page: 35 year: 2017 ident: 10.1016/j.imu.2019.100201_bib39 article-title: The role of early growth response 1 (EGR1) in brain plasticity and neuropsychiatric disorders publication-title: Front Behav Neurosci doi: 10.3389/fnbeh.2017.00035 – volume: 16 start-page: 4889 year: 2018 ident: 10.1016/j.imu.2019.100201_bib45 article-title: miR-199b-5p inhibits triple negative breast cancer cell proliferation, migration and invasion by targeting DDR1 publication-title: Oncol Lett – volume: 53 start-page: 1980 year: 2018 ident: 10.1016/j.imu.2019.100201_bib33 article-title: ARHGEF7 promotes metastasis of colorectal adenocarcinoma by regulating the motility of cancer cells publication-title: Int J Oncol – volume: 126 start-page: 3613 year: 2016 ident: 10.1016/j.imu.2019.100201_bib31 article-title: PIK3C2B inhibition improves function and prolongs survival in myotubular myopathy animal models publication-title: J Clin Investig doi: 10.1172/JCI86841 – volume: 23 start-page: 1716 year: 2017 ident: 10.1016/j.imu.2019.100201_bib46 article-title: miRNAs in cerebrospinal fluid identify patients with MS and specifically those with lipid-specific oligoclonal IgM bands publication-title: Mult Scler doi: 10.1177/1352458516684213 – volume: 11 start-page: 69 year: 2015 ident: 10.1016/j.imu.2019.100201_bib9 article-title: Body fluid biomarkers in multiple sclerosis: how far we have come and how they could affect the clinic now and in the future publication-title: Expert Rev Clin Immunol doi: 10.1586/1744666X.2015.991315 – volume: 47 start-page: 351 year: 2018 ident: 10.1016/j.imu.2019.100201_bib16 article-title: Investigation of ERG gene expression in Iranian patients with multiple sclerosis publication-title: Immunol Investig doi: 10.1080/08820139.2018.1433203 – volume: 15 start-page: 270 year: 2018 ident: 10.1016/j.imu.2019.100201_bib37 article-title: Expression of the neuroprotective protein aryl hydrocarbon receptor nuclear translocator 2 correlates with neuronal stress and disability in models of multiple sclerosis publication-title: J Neuroinflammation doi: 10.1186/s12974-018-1290-6 – volume: 322 start-page: 46 year: 2018 ident: 10.1016/j.imu.2019.100201_bib40 article-title: Contribution of the macrophage migration inhibitory factor superfamily of cytokines in the pathogenesis of preclinical and human multiple sclerosis: in silico and in vivo evidences publication-title: J Neuroimmunol doi: 10.1016/j.jneuroim.2018.06.009 – volume: 6 start-page: 34512 year: 2016 ident: 10.1016/j.imu.2019.100201_bib13 article-title: Analysis of microRNA and gene expression Profiles in multiple sclerosis: integrating interaction data to uncover regulatory mechanisms publication-title: Sci Rep doi: 10.1038/srep34512 – volume: 31 start-page: 3069 year: 2015 ident: 10.1016/j.imu.2019.100201_bib22 article-title: DSigDB: drug signatures database for gene set analysis publication-title: Bioinformatics doi: 10.1093/bioinformatics/btv313 – volume: 132 start-page: 3342 year: 2009 ident: 10.1016/j.imu.2019.100201_bib47 article-title: MicroRNA profiling of multiple sclerosis lesions identifies modulators of the regulatory protein CD47 publication-title: Brain doi: 10.1093/brain/awp300 – volume: 21 start-page: 277 year: 2018 ident: 10.1016/j.imu.2019.100201_bib49 article-title: MiR-9-5p and miR-106a-5p dysregulated in CD4(+) T-cells of multiple sclerosis patients and targeted essential factors of T helper17/regulatory T-cells differentiation publication-title: Iran J Basic Med Sci – volume: 5 year: 2010 ident: 10.1016/j.imu.2019.100201_bib38 article-title: A transcription factor map as revealed by a genome-wide gene expression analysis of whole-blood mRNA transcriptome in multiple sclerosis publication-title: PLoS One doi: 10.1371/journal.pone.0014176 – volume: 4 year: 2016 ident: 10.1016/j.imu.2019.100201_bib12 article-title: Network-based analysis of differentially expressed genes in cerebrospinal fluid (CSF) and blood reveals new candidate genes for multiple sclerosis publication-title: PeerJ doi: 10.7717/peerj.2775 – volume: 9 start-page: 2282 year: 2018 ident: 10.1016/j.imu.2019.100201_bib18 article-title: Identifying gene targets for brain-related traits using transcriptomic and methylomic data from blood publication-title: Nat Commun doi: 10.1038/s41467-018-04558-1 – volume: 19 start-page: 1849 year: 2013 ident: 10.1016/j.imu.2019.100201_bib44 article-title: Differential microRNA expression in blood in multiple sclerosis publication-title: Mult Scler doi: 10.1177/1352458513490542 – volume: 22 start-page: 422 year: 2018 ident: 10.1016/j.imu.2019.100201_bib27 article-title: Drug targeting and biomarkers in head and neck cancers: insights from systems biology analyses publication-title: OMICS doi: 10.1089/omi.2018.0048 – volume: 2016 start-page: 4578230 year: 2016 ident: 10.1016/j.imu.2019.100201_bib43 article-title: miRNAs participate in MS pathological processes and its therapeutic response publication-title: Mediat Inflamm doi: 10.1155/2016/4578230 – volume: 294 start-page: 1731 year: 2001 ident: 10.1016/j.imu.2019.100201_bib32 article-title: The influence of the proinflammatory cytokine, osteopontin, on autoimmune demyelinating disease publication-title: Science doi: 10.1126/science.1062960 – volume: 37 start-page: 613 year: 2010 ident: 10.1016/j.imu.2019.100201_bib3 article-title: Gene expression profiling in multiple sclerosis: a disease of the central nervous system, but with relapses triggered in the periphery? publication-title: Neurobiol Dis doi: 10.1016/j.nbd.2009.11.014 – volume: 8 start-page: 758 year: 2017 ident: 10.1016/j.imu.2019.100201_bib48 article-title: MicroRNA-181 variants regulate T cell phenotype in the context of autoimmune neuroinflammation publication-title: Front Immunol doi: 10.3389/fimmu.2017.00758 – volume: 2014 start-page: 525097 year: 2014 ident: 10.1016/j.imu.2019.100201_bib10 article-title: Blood biomarkers for amyotrophic lateral sclerosis: myth or reality? publication-title: BioMed Res Int doi: 10.1155/2014/525097 – volume: 4 start-page: 347 year: 2012 ident: 10.1016/j.imu.2019.100201_bib30 article-title: A hypermorphic SP1-binding CD24 variant associates with risk and progression of multiple sclerosis publication-title: Am J Transl Res – volume: 18 start-page: 767 year: 2009 ident: 10.1016/j.imu.2019.100201_bib41 article-title: Genome-wide association analysis of susceptibility and clinical phenotype in multiple sclerosis publication-title: Hum Mol Genet doi: 10.1093/hmg/ddn388 – volume: 41 start-page: 991 year: 2013 ident: 10.1016/j.imu.2019.100201_bib17 article-title: NCBI GEO: archive for functional genomics data sets - Update publication-title: Nucleic Acids Res doi: 10.1093/nar/gks1193 – volume: 55 year: 2019 ident: 10.1016/j.imu.2019.100201_bib26 article-title: Identification of prognostic biomarker signatures and candidate drugs in colorectal cancer: insights from systems biology analysis publication-title: Medicina (Kaunas) – volume: 17 start-page: 118 year: 2018 ident: 10.1016/j.imu.2019.100201_bib42 article-title: POU3F2 participates in cognitive function and adult hippocampal neurogenesis via mammalian-characteristic amino acid repeats publication-title: Genes Brain Behav doi: 10.1111/gbb.12408 – volume: 7 year: 2011 ident: 10.1016/j.imu.2019.100201_bib5 article-title: Identifying causal genes and dysregulated pathways in complex diseases publication-title: PLoS Comput Biol doi: 10.1371/journal.pcbi.1001095 – volume: 14 start-page: 1097 year: 2015 ident: 10.1016/j.imu.2019.100201_bib6 article-title: Peripheral blood biomarkers in multiple sclerosis publication-title: Autoimmun Rev doi: 10.1016/j.autrev.2015.07.014 – volume: 7 start-page: 8981 year: 2017 ident: 10.1016/j.imu.2019.100201_bib11 article-title: Transcriptional dysregulation of interferome in experimental and human multiple sclerosis publication-title: Sci Rep doi: 10.1038/s41598-017-09286-y – volume: 60 start-page: 275 year: 2008 ident: 10.1016/j.imu.2019.100201_bib2 article-title: The immunogenetics of multiple sclerosis publication-title: Immunogenetics doi: 10.1007/s00251-008-0295-1 |
| SSID | ssj0001763575 |
| Score | 2.165332 |
| Snippet | Multiple sclerosis (MS) is a severely disabling disease affecting the brain and spinal cord. The detection of MS at an early stage is difficult. However,... |
| SourceID | doaj crossref elsevier |
| SourceType | Open Website Enrichment Source Index Database Publisher |
| StartPage | 100201 |
| SubjectTerms | Blood-brain common gene cis-eQTL Differentially expressed genes microRNAs Molecular biomarkers Multiple sclerosis Protein-protein interaction Transcription factors |
| Title | Detection of multiple sclerosis using blood and brain cells transcript profiles: Insights from comprehensive bioinformatics approach |
| URI | https://dx.doi.org/10.1016/j.imu.2019.100201 https://doaj.org/article/f8d841aa1bb046ab98e099c87078cb83 |
| Volume | 16 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV07T8QwDI4QLCwIBIjjJQ9MSCfaa5JL2XiKh2BAINiqOE3gEPQQPf4BPxw7bdEtwMJapUnluPVn5-tnIXYcqpAGT2lqQNmXLgl9i7HapHOjvaWYzSe6V9f67E5ePKiHqVZfzAlr5IEbw-0FUxqZWpsiUipnMTeeQI0zrFLj0ESdT4p5U8lUrK5EnTUVO8upAb3R0nRHmpHcNXr9YFpXHhVI24YwXVCK2v1TsWkq3pwuioUWKMJB84BLYsZXy-Lz2E8id6qCcYCODAg1jaCJRzUwjf0RIhsdbFUCcgcI4Op8DRMOS_EjAW2n7nofzqua0_Ma-D8TYIL5u39qSO2Ao3Grq8paztDJj6-Iu9OT26OzfttHoe-yQWSsuRw1ZqpMHG0MZm6gKevKrSX4QIgk0WUYDJXLyyxD7YZBpilmlnInmylEn62K2Wpc-TUB1uTBS5X4gE5qk1tpXSrToJOhs6Ua9kTSGbJwrcg497p4KTo22XNBti_Y9kVj-57Y_b7lrVHY-G3wIe_O90AWx44XyGWK1mWKv1ymJ2S3t0WLMxr8QFONfl57_T_W3hDzPGVTxNkUs5P3D79FsGaC22Lu4PLm_nI7evIXf7b3-Q |
| linkProvider | Directory of Open Access Journals |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Detection+of+multiple+sclerosis+using+blood+and+brain+cells+transcript+profiles%3A+Insights+from+comprehensive+bioinformatics+approach&rft.jtitle=Informatics+in+medicine+unlocked&rft.au=Islam%2C+Tania&rft.au=Rahman%2C+Md.+Rezanur&rft.au=Karim%2C+Md.+Rezaul&rft.au=Huq%2C+Fazlul&rft.date=2019&rft.issn=2352-9148&rft.eissn=2352-9148&rft.volume=16&rft.spage=100201&rft_id=info:doi/10.1016%2Fj.imu.2019.100201&rft.externalDBID=n%2Fa&rft.externalDocID=10_1016_j_imu_2019_100201 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2352-9148&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2352-9148&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2352-9148&client=summon |