A deep sequencing approach to uncover the miRNOME in the human heart. - Wikidata - wikimedia - TriplyDB

A deep sequencing approach to uncover the miRNOME in the human heart.

A deep sequencing approach to uncover the miRNOME in the human heart.

http://www.wikidata.org/entity/Q34608849

about

Diagnostic and prognostic value of circulating microRNAs in heart failure with preserved and reduced ejection fraction Use of miRNAs as biomarkers in sepsis MicroRNAs in heart failure: Small molecules with major impact Chamber Specific Gene Expression Landscape of the Zebrafish Heart Non-coding RNAs in cardiac hypertrophy.H2S and homocysteine control a novel feedback regulation of cystathionine beta synthase and cystathionine gamma lyase in cardiomyocytes.Comparative RNA-sequencing analysis of myocardial and circulating small RNAs in human heart failure and their utility as biomarkers.Inhibition of miR-25 improves cardiac contractility in the failing heart.Cardio-miRNAs and onco-miRNAs: circulating miRNA-based diagnostics for non-cancerous and cancerous diseases Characterisation and comparison of lactating mouse and bovine mammary gland miRNomes.Cardiomyocyte-specific miRNA-30c over-expression causes dilated cardiomyopathy.Hydrogen sulfide mitigates homocysteine-mediated pathological remodeling by inducing miR-133a in cardiomyocytes Induction of autophagy markers is associated with attenuation of miR-133a in diabetic heart failure patients undergoing mechanical unloading.MicroRNA Expression in Myocardial Tissue and Plasma of Patients with End-Stage Heart Failure during LVAD Support: Comparison of Continuous and Pulsatile Devices.Comparative Characterization of Cardiac Development Specific microRNAs: Fetal Regulators for Future.MicroRNA-33a-5p suppresses growth of osteosarcoma cells and is downregulated in human osteosarcoma.Inhibition of miR-154 Protects Against Cardiac Dysfunction and Fibrosis in a Mouse Model of Pressure Overload MicroRNAs in heart failure: Non-coding regulators of metabolic function.Diabetic Cardiomyopathy: An Immunometabolic Perspective.MicroRNAs in heart failure: new targets in disease management.microRNA-151-3p regulates slow muscle gene expression by targeting ATP2a2 in skeletal muscle cells.Role of microRNA in metabolic shift during heart failure.Absent MicroRNAs in Different Tissues of Patients with Acquired Cardiomyopathy MicroRNAs as early toxicity signatures of doxorubicin in human-induced pluripotent stem cell-derived cardiomyocytes.Wnt/β-catenin pathway in arrhythmogenic cardiomyopathy.Molecular mechanisms of cardiovascular benefits of exercise: Running for cover from heart disease.Hypertrophic Cardiomyopathy: Genetics, Pathogenesis, Clinical Manifestations, Diagnosis, and Therapy.MicroRNAs in Heart Failure, Cardiac Transplantation, and Myocardial Recovery: Biomarkers with Therapeutic Potential.MiR-29b mimics promotes cell apoptosis of smooth muscle cells via targeting on MMP-2.MicroRNAs Associated With Reverse Left Ventricular Remodeling in Humans Identify Pathways of Heart Failure Progression.MicroRNA Expression Signature Is Altered in the Cardiac Remodeling Induced by High Fat Diets.Allele-specific differences in transcriptome, miRNome, and mitochondrial function in two hypertrophic cardiomyopathy mouse models.MitomiRs Keep the Heart Beating.Cardiovascular disease-related miRNAs expression: potential role as biomarkers and effects of training exercise.MiR-133a Mimic Alleviates T1DM-Induced Systolic Dysfunction in Akita: An MRI-Based Study

P2860

Q26771125-A7EEC9AC-C191-455D-88B5-F49CACF470EA Q26801909-32BE1B73-BF3C-4442-B8C3-7DC06EA5F498 Q27024714-60B5404E-6F66-4A5A-8CF6-5C56F78212ED Q27324640-52746A2D-D95E-43E7-89A9-B0CD9E9820AC Q33800147-B3F09F5C-B451-44E3-A984-E61BFEA9DBA8 Q33808178-46309566-1F8C-48E8-BB01-A9F429CB62E2 Q34002423-0D48CE48-BE66-4840-8BB5-18491EEFAEB2 Q34040266-677B958C-4E05-4239-BE40-2A181F3657E5 Q34391443-A34C12D0-9A6F-4603-B110-3E0A1B9A5BC1 Q35128373-FCC0B78A-3F2D-43F4-BF43-4A4EC454671C Q35161937-4C21F333-4A51-4639-A5BB-BF77B682C6BC Q35561647-FCED63D9-3E63-4E57-B60A-CD05648267F7 Q35682591-D8886CB5-3C1F-4B37-AADF-53FA038737A7 Q35796556-390F7607-105A-47D5-9F8E-9B9DF3E048D8 Q35806442-4F2C9287-FA5B-487E-8278-82AA80F62D46 Q36085831-43FF1946-AE77-43D6-9866-8E1AE4D4E79B Q36634367-ADA85059-878C-4DB2-B9BE-549E23D5B697 Q37733659-48613A5A-B214-4DC8-AD39-3424E74CC64F Q37741735-927B8ECC-68B6-4928-A571-8C2D062C0D40 Q38121484-91A24060-0473-4F8E-8B5E-F2030388FFEC Q38958541-B6272F0A-DC5A-49AE-A069-2FB5CA2613B9 Q38981243-6AB2DD89-6813-4E27-A6AC-BD66A5F61522 Q39542328-9F679629-B5EE-45E5-BC52-8DCDF13D74FE Q40026732-2736AB63-5579-46C9-8816-3338FD30BA20 Q41694294-BFDC1490-C67B-40DE-A11B-D27701EE831D Q42378629-3756B002-ED0F-440E-8F7E-B8443955B866 Q42515078-09706DC4-D298-4B88-AF00-119BFE600468 Q47644374-59F2EA2E-7F84-4BAF-A123-A7AA7D482C4B Q47681543-D60762D0-9711-4F9A-A9F9-4F99C16521A8 Q50036977-90144657-1F4A-41C7-98CF-B4CDAAC447BC Q51293120-DC5A840F-32C1-419F-87DC-EDC816C3B847 Q52725150-4617AC72-B8CD-41AD-BDA5-D60A8425E0DF Q52768438-FB183027-6421-40A0-AC16-E6A68ED68469 Q54976146-24984C7E-8CAA-47BB-A51E-BAFDA51E82A3 Q58576233-52C5AD2C-F0A6-421F-9A0F-7A44BB9FD751

P2860

A deep sequencing approach to uncover the miRNOME in the human heart.

http://www.wikidata.org/entity/Q34608849

description

2013 nî lūn-bûn

@nan

2013 թուականի Փետրուարին հրատարակուած գիտական յօդուած

@hyw

2013 թվականի փետրվարին հրատարակված գիտական հոդված

@hy

2013年の論文

@ja

2013年論文

@yue

2013年論文

@zh-hant

2013年論文

@zh-hk

2013年論文

@zh-mo

2013年論文

@zh-tw

2013年论文

@wuu

name

A deep sequencing approach to uncover the miRNOME in the human heart.

@ast

A deep sequencing approach to uncover the miRNOME in the human heart.

@en

A deep sequencing approach to uncover the miRNOME in the human heart.

@nl

type

label

A deep sequencing approach to uncover the miRNOME in the human heart.

@ast

A deep sequencing approach to uncover the miRNOME in the human heart.

@en

A deep sequencing approach to uncover the miRNOME in the human heart.

@nl

prefLabel

A deep sequencing approach to uncover the miRNOME in the human heart.

@ast

A deep sequencing approach to uncover the miRNOME in the human heart.

@en

A deep sequencing approach to uncover the miRNOME in the human heart.

@nl

P1433

Q34608849-FF1CC854-2E18-4852-ADB3-CAFFCE9A990B

P1476

Q34608849-ED22FAE9-6D13-4860-BAA1-CB82B4CDBE59

P2093

Q34608849-01AA1A7F-9526-4B18-A233-ED7B732E2489

Q34608849-0D279F90-BA04-4362-9746-97B655E7F6A8

Q34608849-14831D99-DCA6-47D0-BF5E-C43DA7A5370E

Q34608849-801358BD-7638-4085-BEAB-FE2375D9E0A8

Q34608849-831712D8-5361-429C-9CA4-BA7482571D53

Q34608849-91644567-2D6C-4704-B5A3-438967C01326

Q34608849-9AB7014F-4453-41A5-B38F-368B62B1C6CE

Q34608849-A3CF9E11-4DCB-4FF7-BB91-2B6822808979

Q34608849-BF454C83-28E8-4DE2-B153-1BBEF095F928

Q34608849-E171E8D0-7E17-4E23-BF28-D41C08B14067

P2860

Q34608849-02693DDB-BDD3-4F3E-8EBB-DD5858C1026F

Q34608849-053EAFEE-0413-43BE-907C-4C0CD3AA03D0

Q34608849-069D2DF5-733E-403F-9C45-FC2D94389FAE

Q34608849-131324B6-CF53-4182-8877-850FE93A0148

Q34608849-18E795E1-0B85-4FB0-91D3-21B61AF7E840

Q34608849-1A874A99-D150-49A5-A65C-793344090D8A

Q34608849-272E6EE9-D78D-4332-99F3-B070A5C9A61C

Q34608849-2D6B8C6F-C04B-4616-8A02-94444C51E748

Q34608849-3BB3A339-0B49-4D55-91D5-0F7C53D80A01

Q34608849-4761BDF0-BE0B-4D91-A967-0E95CE8C6C54

P304

Q34608849-F0365AE3-8ADC-43B4-BDB4-8F2F8880EC16

P31

Q34608849-68309092-781C-4929-84FE-50A1BE1999B9

P356

Q34608849-78274B39-623A-4D84-8385-CB17A25C2DE0

P407

Q34608849-9ECF5C77-9B17-49A0-82E8-204CA595FE26

P433

Q34608849-63A4B7C3-24BD-41D1-ABB9-EBE0CBAD0266

P478

Q34608849-24604D52-2F50-476B-92AE-4D1E508FA7F4

P50

Q34608849-B3C51DB5-22EB-469A-B4A6-02D51ECE570C

Q34608849-E7D4E79F-9667-4506-B122-9DD001DA8C3D

P577

Q34608849-B3D819CA-FF72-406E-A53D-1FB15FB1D065

P5875

Q34608849-60CD54D2-BDE8-442D-BD0E-61570F0CCE05

P698

Q34608849-527A8F15-0477-42BA-B38B-80900E14E4D6

P932

Q34608849-33C587B0-8ECB-4496-A8FA-023568AABA15

P356

JOURNAL.PONE.0057800

P1433

P1476

A deep sequencing approach to uncover the miRNOME in the human heart.

@en

P2093

Edwin Cuppen

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

Gustavo J Silva

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

Hamid El Azzouzi

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

Leon J De Windt

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

Natasja Kisters

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

Paula da Costa Martins

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

Roel de Weger

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

Servé Olieslagers

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

Sjoukje I Lok

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

Stephane Heymans

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

P2860

Serum microRNAs are promising novel biomarkers

miR-145 and miR-143 regulate smooth muscle cell fate and plasticity

Reciprocal regulation of microRNA-1 and insulin-like growth factor-1 signal transduction cascade in cardiac and skeletal muscle in physiological and pathological conditions

miRBase: integrating microRNA annotation and deep-sequencing data

Deep sequencing of tomato short RNAs identifies microRNAs targeting genes involved in fruit ripening

A mammalian microRNA expression atlas based on small RNA library sequencing

Application of massively parallel sequencing to microRNA profiling and discovery in human embryonic stem cells

Mammalian mirtron genes

A signature pattern of stress-responsive microRNAs that can evoke cardiac hypertrophy and heart failure

Expression of microRNAs is dynamically regulated during cardiomyocyte hypertrophy

P304

e57800

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

P31

scholarly article

P356

10.1371/JOURNAL.PONE.0057800

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

P407

P433

2

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

P478

8

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

P50

Eugene Berezikov

Stefanos Leptidis

P577

2013-02-27T00:00:00Z

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

P5875

235788113

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

P698

23460909

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

P932

3583901

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