Microarray profiling analysis and validation of novel long noncoding RNAs and mRNAs as potential biomarkers and their functions in atherosclerosis

Long noncoding (lnc)RNAs have been implicated in the development and progression of atherosclerosis. However, the expression and mechanism of action of lncRNAs in atherosclerosis are still unclear. We implemented microarray analysis in human advanced atherosclerotic plaques and normal arterial intim...

Full description

Saved in:
Bibliographic Details
Published inPhysiological genomics Vol. 51; no. 12; pp. 644 - 656
Main Authors Bai, Huan-Lan, Lu, Zhi-Feng, Zhao, Jing-Jing, Ma, Xin, Li, Xue-Heng, Xu, Hui, Wu, Shao-Guo, Kang, Chun-Min, Lu, Jing-Bo, Xu, Yuan-Jun, Xiao, Lei, Wu, Qian, Ye, Shu, Wang, Qian, Zheng, Lei, Hu, Yan-Wei
Format Journal Article
LanguageEnglish
Published United States American Physiological Society 01.12.2019
SeriesGenomic and “Polyomic” Studies of Cardiovascular and Inflammatory Diseases
Subjects
Online AccessGet full text
ISSN1094-8341
1531-2267
1531-2267
DOI10.1152/physiolgenomics.00077.2019

Cover

Abstract Long noncoding (lnc)RNAs have been implicated in the development and progression of atherosclerosis. However, the expression and mechanism of action of lncRNAs in atherosclerosis are still unclear. We implemented microarray analysis in human advanced atherosclerotic plaques and normal arterial intimae to detect the lncRNA and mRNA expression profile. Gene Ontology functional enrichment and pathway analyses were applied to explore the potential functions and pathways involved in the pathogenesis of atherosclerosis. A total of 236 lncRNAs and 488 mRNAs were selected for further Ingenuity Pathway Analysis. Moreover, quantitative RT-PCR tests of most selected lncRNAs and mRNAs with high fold changes were consistent with the microarray data. We also performed ELISA to investigate the corresponding proteins levels of selected genes and showed that serum levels of SPP1, CD36, ATP6V0D2, CHI3L1, MYH11, and BDNF were differentially expressed in patients with coronary heart disease compared with healthy subjects. These proteins correlated with some biochemical parameters used in the diagnosis of cardiovascular diseases. Furthermore, receiver operating characteristic analysis showed a favorable diagnostic performance. The microarray profiling analysis and validation of differentially-expressed lncRNAs and mRNAs in atherosclerosis not only provide new insights into the pathogenesis of this disease but may also reveal new biomarkers for its diagnosis and treatment.
AbstractList Long noncoding (lnc)RNAs have been implicated in the development and progression of atherosclerosis. However, the expression and mechanism of action of lncRNAs in atherosclerosis are still unclear. We implemented microarray analysis in human advanced atherosclerotic plaques and normal arterial intimae to detect the lncRNA and mRNA expression profile. Gene Ontology functional enrichment and pathway analyses were applied to explore the potential functions and pathways involved in the pathogenesis of atherosclerosis. A total of 236 lncRNAs and 488 mRNAs were selected for further Ingenuity Pathway Analysis. Moreover, quantitative RT-PCR tests of most selected lncRNAs and mRNAs with high fold changes were consistent with the microarray data. We also performed ELISA to investigate the corresponding proteins levels of selected genes and showed that serum levels of SPP1, CD36, ATP6V0D2, CHI3L1, MYH11, and BDNF were differentially expressed in patients with coronary heart disease compared with healthy subjects. These proteins correlated with some biochemical parameters used in the diagnosis of cardiovascular diseases. Furthermore, receiver operating characteristic analysis showed a favorable diagnostic performance. The microarray profiling analysis and validation of differentially-expressed lncRNAs and mRNAs in atherosclerosis not only provide new insights into the pathogenesis of this disease but may also reveal new biomarkers for its diagnosis and treatment.
Long noncoding (lnc)RNAs have been implicated in the development and progression of atherosclerosis. However, the expression and mechanism of action of lncRNAs in atherosclerosis are still unclear. We implemented microarray analysis in human advanced atherosclerotic plaques and normal arterial intimae to detect the lncRNA and mRNA expression profile. Gene Ontology functional enrichment and pathway analyses were applied to explore the potential functions and pathways involved in the pathogenesis of atherosclerosis. A total of 236 lncRNAs and 488 mRNAs were selected for further Ingenuity Pathway Analysis. Moreover, quantitative RT-PCR tests of most selected lncRNAs and mRNAs with high fold changes were consistent with the microarray data. We also performed ELISA to investigate the corresponding proteins levels of selected genes and showed that serum levels of SPP1, CD36, ATP6V0D2, CHI3L1, MYH11, and BDNF were differentially expressed in patients with coronary heart disease compared with healthy subjects. These proteins correlated with some biochemical parameters used in the diagnosis of cardiovascular diseases. Furthermore, receiver operating characteristic analysis showed a favorable diagnostic performance. The microarray profiling analysis and validation of differentially-expressed lncRNAs and mRNAs in atherosclerosis not only provide new insights into the pathogenesis of this disease but may also reveal new biomarkers for its diagnosis and treatment.Long noncoding (lnc)RNAs have been implicated in the development and progression of atherosclerosis. However, the expression and mechanism of action of lncRNAs in atherosclerosis are still unclear. We implemented microarray analysis in human advanced atherosclerotic plaques and normal arterial intimae to detect the lncRNA and mRNA expression profile. Gene Ontology functional enrichment and pathway analyses were applied to explore the potential functions and pathways involved in the pathogenesis of atherosclerosis. A total of 236 lncRNAs and 488 mRNAs were selected for further Ingenuity Pathway Analysis. Moreover, quantitative RT-PCR tests of most selected lncRNAs and mRNAs with high fold changes were consistent with the microarray data. We also performed ELISA to investigate the corresponding proteins levels of selected genes and showed that serum levels of SPP1, CD36, ATP6V0D2, CHI3L1, MYH11, and BDNF were differentially expressed in patients with coronary heart disease compared with healthy subjects. These proteins correlated with some biochemical parameters used in the diagnosis of cardiovascular diseases. Furthermore, receiver operating characteristic analysis showed a favorable diagnostic performance. The microarray profiling analysis and validation of differentially-expressed lncRNAs and mRNAs in atherosclerosis not only provide new insights into the pathogenesis of this disease but may also reveal new biomarkers for its diagnosis and treatment.
Author Kang, Chun-Min
Li, Xue-Heng
Zhao, Jing-Jing
Wu, Qian
Xu, Hui
Bai, Huan-Lan
Lu, Zhi-Feng
Zheng, Lei
Lu, Jing-Bo
Hu, Yan-Wei
Ma, Xin
Wang, Qian
Wu, Shao-Guo
Xiao, Lei
Xu, Yuan-Jun
Ye, Shu
Author_xml – sequence: 1
  givenname: Huan-Lan
  surname: Bai
  fullname: Bai, Huan-Lan
  organization: Laboratory Medicine Center, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China
– sequence: 2
  givenname: Zhi-Feng
  surname: Lu
  fullname: Lu, Zhi-Feng
  organization: Laboratory Medicine Center, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China
– sequence: 3
  givenname: Jing-Jing
  surname: Zhao
  fullname: Zhao, Jing-Jing
  organization: Laboratory Medicine Center, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China
– sequence: 4
  givenname: Xin
  surname: Ma
  fullname: Ma, Xin
  organization: Department of Anesthesiology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China
– sequence: 5
  givenname: Xue-Heng
  surname: Li
  fullname: Li, Xue-Heng
  organization: Laboratory Medicine Center, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China
– sequence: 6
  givenname: Hui
  surname: Xu
  fullname: Xu, Hui
  organization: The Qingyuan Traditional Chinese Medical Hospital of Guangdong Province, Qingyuan, Guangdong, China
– sequence: 7
  givenname: Shao-Guo
  surname: Wu
  fullname: Wu, Shao-Guo
  organization: Department of Clinical Laboratory, Guangzhou Twelfth People’s Hospital, Guangzhou, Guangdong, China
– sequence: 8
  givenname: Chun-Min
  surname: Kang
  fullname: Kang, Chun-Min
  organization: Laboratory Medicine Center, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China
– sequence: 9
  givenname: Jing-Bo
  surname: Lu
  fullname: Lu, Jing-Bo
  organization: Department of Vascular Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China
– sequence: 10
  givenname: Yuan-Jun
  surname: Xu
  fullname: Xu, Yuan-Jun
  organization: Laboratory Medicine Center, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China
– sequence: 11
  givenname: Lei
  surname: Xiao
  fullname: Xiao, Lei
  organization: Laboratory Medicine Center, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China
– sequence: 12
  givenname: Qian
  surname: Wu
  fullname: Wu, Qian
  organization: Laboratory Medicine Center, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China
– sequence: 13
  givenname: Shu
  surname: Ye
  fullname: Ye, Shu
  organization: Department of Cardiovascular Sciences, University of Leicester, Leicester, United Kingdom, Shantou University Medical College, Shantou, Guangdong, China
– sequence: 14
  givenname: Qian
  surname: Wang
  fullname: Wang, Qian
  organization: Laboratory Medicine Center, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China
– sequence: 15
  givenname: Lei
  surname: Zheng
  fullname: Zheng, Lei
  organization: Laboratory Medicine Center, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China
– sequence: 16
  givenname: Yan-Wei
  surname: Hu
  fullname: Hu, Yan-Wei
  organization: Laboratory Medicine Center, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China, Laboratory Medicine Center, Guangzhou Women and Children's Medical Center, Guangzhou, Guangdong, China
BackLink https://www.ncbi.nlm.nih.gov/pubmed/31682178$$D View this record in MEDLINE/PubMed
BookMark eNqNkc1u1DAUhS1URH_gFZDFik0G23F-zAJRVRSQSpEQrK07jjNzwbGDnRlpXoMnrtO0CLrqxr6yP59z5HNKjnzwlpBXnK04r8SbcXtIGNzG-jCgSSvGWNOsBOPqCTnhVckLIermKM9MyaItJT8mpyn9ZIzLpq2ekeOS163gTXtC_nxBEwPECAc6xtCjQ7-h4MFlj5SHju7BYQcTBk9DT33YW0ddyFSOZUI389-uzxd2WKZExzBZPyE4usYwQPxl40JMW4uR9jtvZsVE0VPIZzEk4-YV03PytAeX7Iu7_Yz8uPzw_eJTcfX14-eL86vCSFFPRSehF62q2g6EAcaUrZVqOtMyWzeVrBTAGqQwaymNNcw2oi6lMrwE0fFGiPKMvFt0x916sJ3JeSM4PUbMeQ86AOr_bzxu9Sbsda1qUSmZBV7fCcTwe2fTpAdMxjoH3oZd0qLkXAnJFcvoy3-9_prcF5GB9wuQ20gp2l4bnG4_PVuj05zpuXv9oHt9272eu88Sbx9I3Ls84vENUyHAoA
CitedBy_id crossref_primary_10_3389_fgene_2021_755507
crossref_primary_10_3892_etm_2021_10874
crossref_primary_10_1186_s13040_024_00365_1
crossref_primary_10_1016_j_chemphyslip_2023_105362
crossref_primary_10_1016_j_lfs_2020_118756
crossref_primary_10_1111_1440_1681_13538
crossref_primary_10_1111_jcmm_16040
crossref_primary_10_1007_s10528_023_10542_2
crossref_primary_10_3892_etm_2022_11387
crossref_primary_10_1161_ATVBAHA_122_318158
crossref_primary_10_1089_dna_2020_6451
crossref_primary_10_3390_life11010070
crossref_primary_10_3390_ijms23137488
crossref_primary_10_3389_fgene_2022_1014264
crossref_primary_10_1007_s40291_023_00659_w
crossref_primary_10_1016_j_imbio_2021_152133
crossref_primary_10_1016_j_atherosclerosis_2023_06_974
crossref_primary_10_1016_j_atherosclerosis_2020_09_007
crossref_primary_10_1038_s41598_021_86717_x
crossref_primary_10_1161_JAHA_120_018322
crossref_primary_10_1002_iid3_785
crossref_primary_10_3892_ijmm_2021_5040
crossref_primary_10_1016_j_jics_2021_100277
crossref_primary_10_1016_j_cellsig_2022_110420
crossref_primary_10_3389_fendo_2024_1338458
crossref_primary_10_3389_fgene_2021_598296
crossref_primary_10_1161_ATVBAHA_120_315114
crossref_primary_10_1016_j_jare_2023_01_017
Cites_doi 10.1038/s41431-018-0210-7
10.1016/j.cell.2018.01.011
10.1038/ncomms12429
10.7150/ijbs.14430
10.1038/srep20961
10.1038/nature20149
10.1038/emm.2014.38
10.1016/j.lfs.2019.04.066
10.1093/cvr/cvy007
10.1016/j.cell.2008.10.012
10.1016/j.cardfail.2016.07.001
10.1016/j.atherosclerosis.2017.10.012
10.1093/molbev/msw058
10.1038/nature21374
10.1016/j.pharmthera.2015.12.005
10.1038/s41467-017-02731-6
10.1016/j.biopha.2017.12.024
10.1038/nature09701
10.1016/j.ijcha.2018.09.006
10.1126/science.1115901
10.7150/thno.21216
10.1016/j.atherosclerosis.2014.07.004
10.1111/jcmm.13866
10.1161/CIR.0000000000000485
10.1038/mt.2016.41
10.1097/FJC.0000000000000550
10.1126/science.1163045
10.1016/j.redox.2017.11.012
10.1161/CIRCRESAHA.117.311802
10.1002/hep.29716
10.1016/j.ijcard.2016.11.182
10.1161/CIR.0000000000000404
10.1016/j.cmet.2018.12.018
10.1038/nature06992
10.1161/ATVBAHA.114.304296
10.1080/03008207.2017.1290085
10.1161/CIRCRESAHA.115.306301
10.1172/JCI98230
10.1038/nm1514
10.1161/CIRCULATIONAHA.116.026991
ContentType Journal Article
Copyright Copyright © 2019 the American Physiological Society 2019 American Physiological Society
Copyright_xml – notice: Copyright © 2019 the American Physiological Society 2019 American Physiological Society
DBID AAYXX
CITATION
CGR
CUY
CVF
ECM
EIF
NPM
7X8
5PM
DOI 10.1152/physiolgenomics.00077.2019
DatabaseName CrossRef
Medline
MEDLINE
MEDLINE (Ovid)
MEDLINE
MEDLINE
PubMed
MEDLINE - Academic
PubMed Central (Full Participant titles)
DatabaseTitle CrossRef
MEDLINE
Medline Complete
MEDLINE with Full Text
PubMed
MEDLINE (Ovid)
MEDLINE - Academic
DatabaseTitleList CrossRef

MEDLINE
MEDLINE - Academic
Database_xml – sequence: 1
  dbid: NPM
  name: PubMed
  url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed
  sourceTypes: Index Database
– sequence: 2
  dbid: EIF
  name: MEDLINE
  url: https://proxy.k.utb.cz/login?url=https://www.webofscience.com/wos/medline/basic-search
  sourceTypes: Index Database
DeliveryMethod fulltext_linktorsrc
Discipline Chemistry
Biology
DocumentTitleAlternate MICROARRAY ANALYSIS OF NOVEL lncRNAs AND mRNAs
EISSN 1531-2267
EndPage 656
ExternalDocumentID PMC6962594
31682178
10_1152_physiolgenomics_00077_2019
Genre Research Support, Non-U.S. Gov't
Journal Article
GrantInformation_xml – fundername: ;
  grantid: 81871701; 81572051; 81772244
– fundername: ;
  grantid: A2015009
– fundername: ;
  grantid: 2018A009
– fundername: ;
  grantid: 2017A030313535; 2017A030313532; 2018A030313533
– fundername: ;
  grantid: 201607010267; 201604020015; 201707010034; 201707010156
GroupedDBID ---
123
29O
2WC
4.4
5VS
AAFWJ
AAYXX
ABHWK
ABJNI
ABKWE
ACGFS
ACPRK
ADBBV
ADFNX
AENEX
ALMA_UNASSIGNED_HOLDINGS
BAWUL
BTFSW
CITATION
CS3
DIK
DU5
E3Z
EBS
EMOBN
F5P
H13
ITBOX
KQ8
OK1
P2P
R.V
RAP
RHI
RPRKH
TR2
W8F
WOQ
XSW
CGR
CUY
CVF
ECM
EIF
NPM
7X8
5PM
EJD
ID FETCH-LOGICAL-c426t-d4af28958da2ca009e6997dc80e675459aaba42cb44cec0e726349c13a2d17223
ISSN 1094-8341
1531-2267
IngestDate Thu Aug 21 13:52:55 EDT 2025
Fri Jul 11 05:13:17 EDT 2025
Thu Apr 03 07:02:30 EDT 2025
Tue Jul 01 01:03:52 EDT 2025
Thu Apr 24 23:03:21 EDT 2025
IsDoiOpenAccess true
IsOpenAccess true
IsPeerReviewed true
IsScholarly true
Issue 12
Keywords atherosclerosis
lncRNA
microarray analysis
biomarker
Language English
License Licensed under Creative Commons Attribution CC-BY 4.0: © the American Physiological Society.
LinkModel OpenURL
MergedId FETCHMERGED-LOGICAL-c426t-d4af28958da2ca009e6997dc80e675459aaba42cb44cec0e726349c13a2d17223
Notes ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
H.-L. Bai, Z.-F. Lu, and J.-J. Zhao contributed equally to this work.
OpenAccessLink https://pubmed.ncbi.nlm.nih.gov/PMC6962594
PMID 31682178
PQID 2311924190
PQPubID 23479
PageCount 13
ParticipantIDs pubmedcentral_primary_oai_pubmedcentral_nih_gov_6962594
proquest_miscellaneous_2311924190
pubmed_primary_31682178
crossref_citationtrail_10_1152_physiolgenomics_00077_2019
crossref_primary_10_1152_physiolgenomics_00077_2019
ProviderPackageCode CITATION
AAYXX
PublicationCentury 2000
PublicationDate 2019-12-01
PublicationDateYYYYMMDD 2019-12-01
PublicationDate_xml – month: 12
  year: 2019
  text: 2019-12-01
  day: 01
PublicationDecade 2010
PublicationPlace United States
PublicationPlace_xml – name: United States
– name: Bethesda, MD
PublicationSeriesTitle Genomic and “Polyomic” Studies of Cardiovascular and Inflammatory Diseases
PublicationTitle Physiological genomics
PublicationTitleAlternate Physiol Genomics
PublicationYear 2019
Publisher American Physiological Society
Publisher_xml – name: American Physiological Society
References B20
B21
B22
B23
B24
B25
B27
B28
B29
B30
B31
B10
B32
B11
B33
B12
B34
B13
B35
B14
B36
B15
B37
B16
B38
B17
B39
B18
B19
B1
B2
B3
B4
B5
B6
B7
B8
B9
Li YH (B26) 2017; 136
B40
B41
References_xml – ident: B16
  doi: 10.1038/s41431-018-0210-7
– ident: B19
  doi: 10.1016/j.cell.2018.01.011
– ident: B11
  doi: 10.1038/ncomms12429
– ident: B23
  doi: 10.7150/ijbs.14430
– volume: 136
  start-page: A15313
  year: 2017
  ident: B26
  publication-title: Circulation
– ident: B40
  doi: 10.1038/srep20961
– ident: B6
  doi: 10.1038/nature20149
– ident: B29
  doi: 10.1038/emm.2014.38
– ident: B24
  doi: 10.1016/j.lfs.2019.04.066
– ident: B9
  doi: 10.1093/cvr/cvy007
– ident: B34
  doi: 10.1016/j.cell.2008.10.012
– ident: B39
  doi: 10.1016/j.cardfail.2016.07.001
– ident: B1
  doi: 10.1016/j.atherosclerosis.2017.10.012
– ident: B2
  doi: 10.1093/molbev/msw058
– ident: B12
  doi: 10.1038/nature21374
– ident: B32
  doi: 10.1016/j.pharmthera.2015.12.005
– ident: B18
  doi: 10.1038/s41467-017-02731-6
– ident: B36
  doi: 10.1016/j.biopha.2017.12.024
– ident: B8
  doi: 10.1038/nature09701
– ident: B17
  doi: 10.1016/j.ijcha.2018.09.006
– ident: B33
  doi: 10.1126/science.1115901
– ident: B25
  doi: 10.7150/thno.21216
– ident: B35
  doi: 10.1016/j.atherosclerosis.2014.07.004
– ident: B15
  doi: 10.1111/jcmm.13866
– ident: B3
  doi: 10.1161/CIR.0000000000000485
– ident: B4
  doi: 10.1038/mt.2016.41
– ident: B10
  doi: 10.1097/FJC.0000000000000550
– ident: B41
  doi: 10.1126/science.1163045
– ident: B28
  doi: 10.1016/j.redox.2017.11.012
– ident: B30
  doi: 10.1161/CIRCRESAHA.117.311802
– ident: B38
  doi: 10.1002/hep.29716
– ident: B27
  doi: 10.1016/j.ijcard.2016.11.182
– ident: B22
  doi: 10.1161/CIR.0000000000000404
– ident: B37
  doi: 10.1016/j.cmet.2018.12.018
– ident: B31
  doi: 10.1038/nature06992
– ident: B14
  doi: 10.1161/ATVBAHA.114.304296
– ident: B5
  doi: 10.1080/03008207.2017.1290085
– ident: B7
  doi: 10.1161/CIRCRESAHA.115.306301
– ident: B13
  doi: 10.1172/JCI98230
– ident: B20
  doi: 10.1038/nm1514
– ident: B21
  doi: 10.1161/CIRCULATIONAHA.116.026991
SSID ssj0014785
Score 2.4269893
Snippet Long noncoding (lnc)RNAs have been implicated in the development and progression of atherosclerosis. However, the expression and mechanism of action of lncRNAs...
SourceID pubmedcentral
proquest
pubmed
crossref
SourceType Open Access Repository
Aggregation Database
Index Database
Enrichment Source
StartPage 644
SubjectTerms Atherosclerosis - blood
Atherosclerosis - genetics
Biomarkers - blood
Enzyme-Linked Immunosorbent Assay
Female
Gene Expression Profiling
Gene Regulatory Networks
Healthy Volunteers
Humans
Male
Oligonucleotide Array Sequence Analysis - methods
Plaque, Atherosclerotic - chemistry
Real-Time Polymerase Chain Reaction
RNA, Long Noncoding - blood
RNA, Long Noncoding - genetics
RNA, Messenger - blood
RNA, Messenger - genetics
Tunica Intima - chemistry
Title Microarray profiling analysis and validation of novel long noncoding RNAs and mRNAs as potential biomarkers and their functions in atherosclerosis
URI https://www.ncbi.nlm.nih.gov/pubmed/31682178
https://www.proquest.com/docview/2311924190
https://pubmed.ncbi.nlm.nih.gov/PMC6962594
Volume 51
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1bb9MwFLbKEIIXBONWbjISb1VgSZzb45g2ldEVCbVS3yLHcVikNqmadtL2L-AXc46dOGk3pMJLZCVO7OT7Yn-2j88h5GOWgK4NE9uyQ55ZLBWJFXqZtGzOGU95hiofrS3G_nDKzmferNf71bFa2qyTT-Lmzn0l_4MqnANccZfsPyBrHgonIA34whEQhuNeGF-gNR1frfj1QMfe1jsOazcjOCUOpeWpUYVFeSXngzmGF4JRvyjVhpYf42Odd6FT1WBZrtGGCMDDzflov7OqGkvLfDXArtBYoCsBWVZQMTjmVVfrKuNS07aiM9hFx7T-i46DPdzwwhp1DIM2arnkMrfgS__sTGvrFSKosHWetxculPad1e7D69kLO-pYgjQNrm2BBNSdrrzjXN1Ke3aXjU6nzfW1A8nbfYGHvmWX-l2bl0R_lUGAJn1R2wM2q_7j7_HZdDSKJ6ezyT1y3wlAjqHO_vrNLEyxQEV5NVWs_dhCWZ__XtK25rk1kNm1x-0InMkT8rgemdBjTbOnpCeLQ_JAxyq9PiQPT5rQgM_I75Z41BCPNsSDREpb4tEyo4p4FIlHDfEo0k3lXehURQ3xaEs8lUMRjxri0bygO8R7TqZnp5OToVUH97AEiMK1lTJsCCIvTLkjOCh96UdRkIrwSMIYlnkR5wlnjkgYE1IcycDxXRYJ2-VOCqLbcV-QA6ixfEWok7oetzMR-j6IVcdLApl5qYhc0MYox_skaj5_LGrP9xiAZR6rEbDnxDvQxQq6GKHrE9fcu9T-X_a660ODcgzQ4BocL2S5qWIYTuGUB8jwPnmpUTfPxRhyDlS5T4ItPpgM6Ap--0qRXyqX8H6E8xjs9R7lviGP2h_xLTlYrzbyHQjrdfJeUf0PKEba0Q
linkProvider Flying Publisher
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=Microarray+profiling+analysis+and+validation+of+novel+long+noncoding+RNAs+and+mRNAs+as+potential+biomarkers+and+their+functions+in+atherosclerosis&rft.jtitle=Physiological+genomics&rft.au=Bai%2C+Huan-Lan&rft.au=Lu%2C+Zhi-Feng&rft.au=Zhao%2C+Jing-Jing&rft.au=Ma%2C+Xin&rft.date=2019-12-01&rft.issn=1531-2267&rft.eissn=1531-2267&rft.volume=51&rft.issue=12&rft.spage=644&rft_id=info:doi/10.1152%2Fphysiolgenomics.00077.2019&rft.externalDBID=NO_FULL_TEXT
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1094-8341&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1094-8341&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1094-8341&client=summon