RNA-seq analysis of synovial fibroblasts brings new insights into rheumatoid arthritis. - Wikidata - wikimedia - TriplyDB

RNA-seq analysis of synovial fibroblasts brings new insights into rheumatoid arthritis.

RNA-seq analysis of synovial fibroblasts brings new insights into rheumatoid arthritis.

http://www.wikidata.org/entity/Q36575871

about

Use of RNA sequencing to evaluate rheumatic disease patients Herbal adaptogens combined with protein fractions from bovine colostrum and hen egg yolk reduce liver TNF-α expression and protein carbonylation in Western diet feeding in rats Nucleus accumbens neuronal maturation differences in young rats bred for low versus high voluntary running behaviour.Functional annotation of rheumatoid arthritis and osteoarthritis associated genes by integrative genome-wide gene expression profiling analysis Bioinformatics-Based Identification of MicroRNA-Regulated and Rheumatoid Arthritis-Associated Genes Integrative analysis of genome-wide association studies and gene expression analysis identifies pathways associated with rheumatoid arthritis.Deep genome sequencing and variation analysis of 13 inbred mouse strains defines candidate phenotypic alleles, private variation and homozygous truncating mutations.Systems approaches to human autoimmune diseases.Metabolic and molecular insights into an essential role of nicotinamide phosphoribosyltransferase.Use of next-generation DNA sequencing to analyze genetic variants in rheumatic disease.Arthroscopic guided synovial biopsy in rheumatology: current perspectives.Genomics, transcriptomics and proteomics to elucidate the pathogenesis of rheumatoid arthritis.Loss of Cdk5 function in the nucleus accumbens decreases wheel running and may mediate age-related declines in voluntary physical activity.Ductal cells of minor salivary glands in Sjögren's syndrome express LINE-1 ORF2p and APOBEC3B.Left ventricle transcriptomic analysis reveals connective tissue accumulation associates with initial age-dependent decline in V̇o2peak from its lifetime apex.Screening for key genes and transcription factors in ankylosing spondylitis by RNA-Seq.AMPK agonist AICAR delays the initial decline in lifetime-apex V̇o2 peak, while voluntary wheel running fails to delay its initial decline in female rats.Computational Systems Biology Approach for the Study of Rheumatoid Arthritis: From a Molecular Map to a Dynamical Model

P2860

Q26864197-A8D81BB9-E95A-4B63-A958-4D85635BCFF0 Q33597943-851DD780-C454-4235-8DBC-589EAC7988B9 Q34411854-6A095207-9FB4-4570-83AA-234B21EB472E Q35097200-B7912833-D39C-4CBF-A60E-3734C2468EEB Q35770347-6BB3776E-9818-48B8-8820-664F014F69BD Q36962350-EDAF3B73-E39B-4793-A3DA-25E71FB221DE Q37142077-7BA141B3-A1BF-442F-96D0-B38E65D298E5 Q37584747-6EAC0456-AA6F-4545-9B8C-D44EF7E7D929 Q37745422-1FF5D306-A761-48D4-91DF-3FA1D77EBCB2 Q38383803-9837887E-1655-425B-A46D-24F24467F744 Q39042968-BD33570A-4E14-4AD0-9152-383B0BF47C24 Q39298145-81A1B70A-0186-444F-9D34-ED21AD29D614 Q47409991-BE76D6DF-4D33-43E2-96A2-90EEC21CFB13 Q47618684-19189A8B-2288-4D1E-B065-D7DEDF73A210 Q47927759-FF5BDFFD-4D25-4E4D-B534-D10BD6C9B1B5 Q49523074-69BF04C0-B885-4BB1-AFDB-E3DF350B52F8 Q50959072-870D384D-7F01-46AB-9BE1-A42A2F4D402F Q56888667-2F6EBCE1-D5E3-4211-9C90-CBF875BC9D3D

P2860

RNA-seq analysis of synovial fibroblasts brings new insights into rheumatoid arthritis.

http://www.wikidata.org/entity/Q36575871

description

2012 nî lūn-bûn

@nan

2012年の論文

@ja

2012年論文

@yue

2012年論文

@zh-hant

2012年論文

@zh-hk

2012年論文

@zh-mo

2012年論文

@zh-tw

2012年论文

@wuu

2012年论文

@zh

2012年论文

@zh-cn

name

RNA-seq analysis of synovial fibroblasts brings new insights into rheumatoid arthritis.

@ast

RNA-seq analysis of synovial fibroblasts brings new insights into rheumatoid arthritis.

@en

type

label

RNA-seq analysis of synovial fibroblasts brings new insights into rheumatoid arthritis.

@ast

RNA-seq analysis of synovial fibroblasts brings new insights into rheumatoid arthritis.

@en

prefLabel

RNA-seq analysis of synovial fibroblasts brings new insights into rheumatoid arthritis.

@ast

RNA-seq analysis of synovial fibroblasts brings new insights into rheumatoid arthritis.

@en

P1433

Q36575871-36636595-068D-4D26-985C-51F3EF12FD24

P1476

Q36575871-D0231A33-C7FC-4B67-B752-D7689DFFAB24

P2093

Q36575871-0697038A-315B-4EAD-AEBE-FCF3C55C3B04

Q36575871-25032049-AFC6-4C1A-885B-9BC9B7DE83B7

Q36575871-2E6DBCFA-7BDF-4677-B22F-74BD4F333D97

Q36575871-61C1AD92-64E2-4986-B375-C336EE2CD121

Q36575871-D8BE7287-5258-404B-9BF8-7F989ACBE763

P2860

Q36575871-02B1B8B9-B24A-4E5B-980E-EB6CDB1B9BA5

Q36575871-0AA6845A-64B2-447A-8018-ECE9D0BC9537

Q36575871-0D3EAD8D-BE9C-4536-AB17-A3E9AACE23F6

Q36575871-125E767E-4DAF-4246-9504-9C364606E4B1

Q36575871-132CF432-7747-4052-81AC-09F068F220F0

Q36575871-14700974-5755-4CD8-A550-34516608A397

Q36575871-1AEC41C2-60C0-4B9F-824A-F43C141D8D33

Q36575871-253653B6-807F-4600-B62D-A26052950685

Q36575871-2A2399CB-6D48-4888-BFBB-DA62C0F5CC7A

Q36575871-2C17205D-899F-4C7B-AE7A-C3375E37F309

P2888

Q36575871-728634DF-B0B1-4F3F-8AA0-2A42D582F5BF

P304

Q36575871-C6F37E13-1256-4B07-9485-BC1D6B90F764

P31

Q36575871-FA0D67A1-1C27-433B-BEE1-A9DA8F2D21EF

P356

Q36575871-16964B1C-97EB-42C2-8E9B-AB7F2F3B55F9

P433

Q36575871-3EEA3BE4-B26B-45FD-BA6C-A9088D8C9E48

P478

Q36575871-DBD5F437-F3A0-4393-86DF-9E357A18CEDC

P577

Q36575871-E6857965-2D68-4D27-AE79-13903E14472B

P5875

Q36575871-D3912D3C-2F6A-476D-9269-6F14CBAFA274

P6179

Q36575871-34B7A518-79D1-4554-9676-5C013B483A73

P698

Q36575871-01794E4F-652C-4BCC-AEE4-B54A6D30D562

P921

Q36575871-C5E8A0D7-2B2A-429D-86F7-32A6279AFDE9

Q36575871-E653C09B-879D-4613-AB20-B24F1B2A4FB3

P932

Q36575871-0986D47A-C723-432C-A968-CAE511355792

P356

P1433

Cell & Bioscience

P1476

RNA-seq analysis of synovial fibroblasts brings new insights into rheumatoid arthritis.

@en

P2093

Daniel P Heruth

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

Dmitry N Grigoryev

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

Li Qin Zhang

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

Margaret Gibson

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

Shui Qing Ye

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

P2860

Ultrafast and memory-efficient alignment of short DNA sequences to the human genome

Whole transcriptome sequencing reveals gene expression and splicing differences in brain regions affected by Alzheimer's disease

Mapping and quantifying mammalian transcriptomes by RNA-Seq

Protein phosphatase-1 regulates Akt1 signal transduction pathway to control gene expression, cell survival and differentiation

Fibroblast-like synoviocytes: key effector cells in rheumatoid arthritis

Transcript assembly and quantification by RNA-Seq reveals unannotated transcripts and isoform switching during cell differentiation

Differential gene and transcript expression analysis of RNA-seq experiments with TopHat and Cufflinks

Genome-wide association scan identifies candidate polymorphisms associated with differential response to anti-TNF treatment in rheumatoid arthritis

TopHat: discovering splice junctions with RNA-Seq

RNA-seq: an assessment of technical reproducibility and comparison with gene expression arrays

P2888

P304

43

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

P31

scholarly article

P356

10.1186/2045-3701-2-43

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

P433

1

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

P478

2

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

P577

2012-12-21T00:00:00Z

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

P5875

233973069

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

P6179

1011376510

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

P698

23259760

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

P921

P932

3560277

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