Whole blood transcriptional profiling in ankylosing spondylitis identifies novel candidate genes that might contribute to the inflammatory and tissue-destructive disease aspects - Wikidata - wikimedia - TriplyDB

Whole blood transcriptional profiling in ankylosing spondylitis identifies novel candidate genes that might contribute to the inflammatory and tissue-destructive disease aspects

Whole blood transcriptional profiling in ankylosing spondylitis identifies novel candidate genes that might contribute to the inflammatory and tissue-destructive disease aspects

http://www.wikidata.org/entity/Q35092997

about

Applications of systems approaches in the study of rheumatic diseases.Predicting the potential ankylosing spondylitis-related genes utilizing bioinformatics approaches Aberrant expression of shared master-key genes contributes to the immunopathogenesis in patients with juvenile spondyloarthritis.Whole Genome Expression Profiling and Signal Pathway Screening of MSCs in Ankylosing Spondylitis.Monocyte-derived dendritic cells from HLA-B27+ axial spondyloarthritis (SpA) patients display altered functional capacity and deregulated gene expression.Identification of potential transcriptomic markers in developing ankylosing spondylitis: a meta-analysis of gene expression profiles.Expression profiling in spondyloarthropathy synovial biopsies highlights changes in expression of inflammatory genes in conjunction with tissue remodelling genes.Integrated Analyses of Gene Expression Profiles Digs out Common Markers for Rheumatic Diseases.Excessive bone formation in a mouse model of ankylosing spondylitis is associated with decreases in Wnt pathway inhibitors Identification of breast cancer mechanism based on weighted gene coexpression network analysis.Genome-wide methylation profile following prenatal and postnatal dietary omega-3 fatty acid supplementation in pigs.Transcriptome analysis of ankylosing spondylitis patients before and after TNF-α inhibitor therapy reveals the pathways affected.New genes associated with rheumatoid arthritis identified by gene expression profiling.Screening of differentially expressed genes associated with Kawasaki disease by microarray analysis.Distinct genetic profile in peripheral blood mononuclear cells of psoriatic arthritis patients treated with methotrexate and TNF-inhibitors.Predicting pathway cross-talks in ankylosing spondylitis through investigating the interactions among pathways.Correlation of PON1 polymorphisms with ankylosing spondylitis susceptibility: A case-control study in Chinese Han population.Identification of potential target genes for ankylosing spondylitis treatment.Promoter hypermethylation of BCL11B gene correlates with downregulation of gene transcription in ankylosing spondylitis patients.Evaluation of DNMT1 gene expression profile and methylation of its promoter region in patients with ankylosing spondylitis.Sexual Dimorphism in the Th17 Signature of Ankylosing Spondylitis.Identification of pathways significantly associated with spondyloarthropathy/ankylosing spondylitis using the sub‑pathway method

P2860

Q27692558-8BFE25E9-F4D9-4139-BF5C-98A70C4E8822 Q28252332-3A8E3537-AF05-450A-A997-34013B0E821D Q34704329-42ED8BB2-E4AF-48CD-AB02-E940B417B4DE Q34721995-F660A9ED-9211-4F62-B62C-647D12E08E17 Q34940290-5CF57355-B6E0-45EC-973D-507054E49B9E Q35061614-0FB22526-1566-4CE4-85B9-FA80C3809C83 Q35065306-94F18C1C-882A-44AC-9FBF-466FB09A526D Q35767935-719C483E-EF9C-43ED-8536-0C154B9CD527 Q36907665-CA944C30-0A15-4FC8-8C27-01F5173B5FE3 Q38429989-BEC523CD-4C0B-4177-93B8-E254EB79B047 Q39456472-98C4982D-EB5E-42A1-9AE8-3BAABEBC00B5 Q40081875-D4680748-8F26-485C-BED5-5FE6FD567D77 Q40458347-2424527C-1EFD-4A3F-9A8E-D633CD05F3F3 Q41665077-22FBCB50-C3D9-4DE1-9EE6-FBA807F9BADC Q42703805-493FF202-E4ED-47CF-AE4E-EC8B2A63DDE2 Q45941107-71CF142A-7EBF-4B4C-A6E0-FBD0D7660D8C Q47142883-5C7FF64D-EA17-4CB2-90AB-71BB4201B7B6 Q49712215-12BDFD7E-E215-4FAC-825A-D83833B24855 Q50194892-FCC9B8A4-1F3D-4192-9B09-7798DADB0241 Q50219702-AEDD7650-AA71-44CB-81AA-E431617E4242 Q50241621-12A4CFED-9EEC-43A0-8E18-591C8461245A Q58767822-89480BB0-3C1E-4FA9-AF81-51D333B206F9

P2860

Whole blood transcriptional profiling in ankylosing spondylitis identifies novel candidate genes that might contribute to the inflammatory and tissue-destructive disease aspects

http://www.wikidata.org/entity/Q35092997

description

2011 nî lūn-bûn

@nan

2011 թուականի Ապրիլին հրատարակուած գիտական յօդուած

@hyw

2011 թվականի ապրիլին հրատարակված գիտական հոդված

@hy

2011年の論文

@ja

2011年論文

@yue

2011年論文

@zh-hant

2011年論文

@zh-hk

2011年論文

@zh-mo

2011年論文

@zh-tw

2011年论文

@wuu

name

Whole blood transcriptional pr ...... ue-destructive disease aspects

@ast

Whole blood transcriptional pr ...... ue-destructive disease aspects

@en

type

label

Whole blood transcriptional pr ...... ue-destructive disease aspects

@ast

Whole blood transcriptional pr ...... ue-destructive disease aspects

@en

prefLabel

Whole blood transcriptional pr ...... ue-destructive disease aspects

@ast

Whole blood transcriptional pr ...... ue-destructive disease aspects

@en

P1433

Q35092997-C9637351-0F71-407E-9D07-4E7EF04A1AFB

P1476

Q35092997-0AD4B0E8-B931-4A25-8CF5-9CE4FE330D11

P2093

Q35092997-0BC54B80-035E-45FE-9E2A-AE8BFD9826EC

Q35092997-357A254F-9662-49D3-9D36-7FF7A114250C

Q35092997-64628D37-42F6-44CC-ACFD-2179F574C53D

Q35092997-6B9F58AF-E194-497D-BF51-694F6E1F9A4E

Q35092997-874C8777-B840-49E6-9384-6FE83AF22A1A

Q35092997-A757FFAA-B98F-471D-96C1-C0A7DE576836

Q35092997-B29A6D32-7F4A-447C-8B7D-F9CFF681B8BB

Q35092997-B8B2BD9B-0E60-49FD-812B-89420CC44834

P2860

Q35092997-03BC2F34-0B14-4AC0-9389-1AE0229688FE

Q35092997-07A505C0-E3E1-4019-A686-75A4D805A7C9

Q35092997-0BDAB7BC-F57B-49FB-9981-5B1D2284D346

Q35092997-0EEFDBAB-39FB-4566-8C7B-DBA8430B749C

Q35092997-0F4B2894-CF3D-425A-A0D7-24157E642838

Q35092997-1569E422-675F-45E9-B4C7-5F760F89BD54

Q35092997-19A9144F-F9C7-4C28-8BEA-422CEC82B4FC

Q35092997-2EF751DA-ED36-4B6C-8478-A5D33012ED10

Q35092997-313B6658-7760-4CCB-9A61-421DE51EE0EB

Q35092997-36C5BE05-1CF8-4355-93B4-91935E0A529C

P2888

Q35092997-A4BB779A-E03A-44E1-B408-F5232147F5DD

P304

Q35092997-60ED53A5-0EA0-4D7F-81AE-D5BD4C179BF9

P31

Q35092997-E907A1FB-7C2C-4425-A089-87B59E6BE6CC

P356

Q35092997-140F8B1F-D71F-43EE-8805-23F279E02B1F

P433

Q35092997-B8D7093D-05C8-4672-B8F6-28E798F12CA2

P478

Q35092997-81148FE5-160C-441E-86E0-5C79DBD59DBE

P50

Q35092997-0BC64DB7-4A6E-4B80-93FC-01ABA32C5EB2

Q35092997-0F918D8F-CA28-46A2-B3DC-06B34260E44B

Q35092997-3BB8CE6C-E3D8-4AEF-BB46-35893C0BE588

Q35092997-550EC658-0234-4F0B-9F90-B8A41AA58E5C

Q35092997-7A8E1FFF-CC6B-46E5-80C9-76655F98DA67

Q35092997-7B5F399C-A87A-4766-8B93-765BA8D394BA

Q35092997-983B5A4C-4626-45B0-92DD-E690A2D9B41A

P577

Q35092997-5E38D9C0-F446-41A9-8905-47A824AC6C00

P5875

Q35092997-A59535BA-2307-492E-9C7B-B4BD4A0273DC

P6179

Q35092997-6CF540BE-73CB-4171-905B-08048EB0B72E

P698

Q35092997-ADF54A93-E8B2-403C-ACF2-EC41B5577017

P932

Q35092997-889011D2-2FCB-47CF-A221-8BE7F6618771

P356

P1433

Arthritis Research and Therapy

P1476

Whole blood transcriptional pr ...... ue-destructive disease aspects

@en

P2093

Ana F Mourão

http://www.w3.org/2001/XMLSchema#string

Fátima Godinho

http://www.w3.org/2001/XMLSchema#string

Helena Santos

http://www.w3.org/2001/XMLSchema#string

Henrique Guedes-Pinto

http://www.w3.org/2001/XMLSchema#string

José Costa

http://www.w3.org/2001/XMLSchema#string

Mafalda Matos

http://www.w3.org/2001/XMLSchema#string

Margarida Cruz

http://www.w3.org/2001/XMLSchema#string

Patricia Pinto

http://www.w3.org/2001/XMLSchema#string

P2860

Association scan of 14,500 nonsynonymous SNPs in four diseases identifies autoimmunity variants

A new non-linear normalization method for reducing variability in DNA microarray experiments.

Dock10, a novel CZH protein selectively induced by interleukin-4 in human B lymphocytes

The contribution of genes outside the major histocompatibility complex to susceptibility to ankylosing spondylitis

lumi: a pipeline for processing Illumina microarray

Beta7 integrin deficiency suppresses B cell homing and attenuates chronic ileitis in SAMP1/YitFc mice.

L-selectin, alpha 4 beta 1, and alpha 4 beta 7 integrins participate in CD4+ T cell recruitment to chronically inflamed small intestine.

Validation of oligonucleotide microarray data using microfluidic low-density arrays: a new statistical method to normalize real-time RT-PCR data.

Model-based variance-stabilizing transformation for Illumina microarray data.

Gene expression profiling of whole blood: comparison of target preparation methods for accurate and reproducible microarray analysis.

P2888

P304

R57

http://www.w3.org/2001/XMLSchema#string

P31

scholarly article

P356

10.1186/AR3309

http://www.w3.org/2001/XMLSchema#string

P433

2

http://www.w3.org/2001/XMLSchema#string

P478

13

http://www.w3.org/2001/XMLSchema#string

P50

Matthew A. Brown

João E. Fonseca

Fernando Pimentel-Santos

Anabela Barcelos

P577

2011-04-07T00:00:00Z

http://www.w3.org/2001/XMLSchema#dateTime

P5875

51029759

http://www.w3.org/2001/XMLSchema#string

P6179

1045286344

http://www.w3.org/2001/XMLSchema#string

P698

21470430

http://www.w3.org/2001/XMLSchema#string

P932

3132052

http://www.w3.org/2001/XMLSchema#string