Massive analysis of cDNA Ends (MACE) and miRNA expression profiling identifies proatherogenic pathways in chronic kidney disease
about
The systemic nature of CKD.HsfA2 Controls the Activity of Developmentally and Stress-Regulated Heat Stress Protection Mechanisms in Tomato Male Reproductive Tissues.MicroRNAs and their applications in kidney diseasesIdentification and Expression Analysis of Ribosome Biogenesis Factor Co-orthologs in Solanum lycopersicum.APASdb: a database describing alternative poly(A) sites and selection of heterogeneous cleavage sites downstream of poly(A) signals.Dual 3'Seq using deepSuperSAGE uncovers transcriptomes of interacting Salmonella enterica Typhimurium and human host cells.Identification of novel small ncRNAs in pollen of tomato.Massive Analysis of cDNA Ends (MACE) for transcript-based marker design in pea (Pisum sativum L.).De Novo Assembly of the Pea (Pisum sativum L.) Nodule Transcriptome.A Combined Comparative Transcriptomic, Metabolomic, and Anatomical Analyses of Two Key Domestication Traits: Pod Dehiscence and Seed Dormancy in Pea (Pisum sp.).DNA methylation profiling reveals differences in the 3 human monocyte subsets and identifies uremia to induce DNA methylation changes during differentiationMicroscopic and Molecular Characterization of the Prehaustorial Resistance against Wheat Leaf Rust (Puccinia triticina) in Einkorn (Triticum monococcum).NGS-based transcriptome profiling reveals biomarkers for companion diagnostics of the TGF-β receptor blocker galunisertib in HCC.Chaperone network composition in Solanum lycopersicum explored by transcriptome profiling and microarray meta-analysis.Principles of miRNA-mRNA interactions: beyond sequence complementarity.Bioinformatics resources for pollen.MiR-146a/b: a family with shared seeds and different roots.Inflammation and premature aging in advanced chronic kidney disease.In planta Identification of Putative Pathogenicity Factors from the Chickpea Pathogen Ascochyta rabiei by De novo Transcriptome Sequencing Using RNA-Seq and Massive Analysis of cDNA Ends.Impact of individual intravenous iron preparations on the differentiation of monocytes towards macrophages and dendritic cells.Massive analysis of cDNA ends (MACE) reveals a co-segregating candidate gene for LpPg1 stem rust resistance in perennial ryegrass (Lolium perenne).MicroRNA-146b, a Sensitive Indicator of Mesenchymal Stem Cell Repair of Acute Renal Injury.A draft genome sequence of the rose black spot fungus Diplocarpon rosae reveals a high degree of genome duplication.APADB: a database for alternative polyadenylation and microRNA regulation eventsUntranslated Parts of Genes Interpreted: Making Heads or Tails of High-Throughput Transcriptomic Data via Computational Methods: Computational methods to discover and quantify isoforms with alternative untranslated regions.MicroRNA-21 regulates peroxisome proliferator-activated receptor alpha, a molecular mechanism of cardiac pathology in Cardiorenal Syndrome Type 4.Bacterial Cellulose Shifts Transcriptome and Proteome of Cultured Endothelial Cells Towards Native Differentiation.Maize Stem Response to Long-Term Attack by Sesamia nonagrioides.The coupling of transcriptome and proteome adaptation during development and heat stress response of tomato pollen.Maintaining Genome Integrity during Seed Development in L.: Evidence from a Transcriptomic Profiling Study
P2860
Q30234695-7FCAC6B7-6E3A-4F22-B67F-26A70D5DA7FAQ30315528-D52D4B9A-310E-407A-9F87-4491EE7C1981Q34696427-9F89C3A0-460D-4C9B-81E5-16CF18710B29Q35076605-15C7D57F-7E72-4DA3-9387-9D607D4C5F8CQ35253553-C76EDBE4-5024-4EA3-9917-1EDBFC0E2D60Q35618638-900008D7-68DC-4860-98D1-C539BEE1ED98Q35780999-B4A9665B-4A0C-4065-8CCA-5E6316D06304Q36239102-FF09F26B-7C76-4F82-924E-34EC9F555E02Q36353097-8E6DB840-C8BC-4B78-A4FE-C555F58F3325Q36367470-F09D229D-2751-4005-83E4-3DD248A4E05FQ36957027-A16B742C-59F7-442B-B4AA-39645A681836Q37403144-E7CE8EB9-D6F0-4A23-A855-22F9C85ABCAAQ37745263-B29DF475-CBA5-46CB-9457-F033653A8BEEQ38304970-F8AAB7A0-68E8-4305-B26A-1EFCF09CF4D8Q38513793-05A1B07F-1EB7-47DB-B7A5-BDE1AFA62805Q38857787-1D706A48-5582-4B1E-8EE2-241E3A5DBA9DQ38954524-3AD146B0-F144-43F2-AF96-5CB48D7DF180Q39309490-DA9B2237-DECD-413D-86F8-F547AF19E0BCQ40230547-269C0257-4D3D-4BC0-A279-226D0DBBFFB9Q40469488-6193C090-F487-4C76-846D-DD8580601F2EQ40607290-663DA837-51F7-42EC-AFF2-4FA1BEB616C1Q41657651-32E52B07-FE2C-45B3-BC7E-F956743D5766Q42370704-75E6A808-EE6B-424B-A01C-586F114F051FQ42705836-716ED4F2-47CB-4379-AA69-C7F8637CEB5BQ47755578-2E180F29-3831-48DC-8F6A-84F3924AA10EQ49620885-E17F9AD4-26D6-4095-805C-9FDF1E9B7BB6Q50571850-E1FA7CD7-4010-444C-AB61-751EF3D860ADQ54963524-FD96E28B-4886-46BE-ABCF-1076A595F15EQ55347134-51C43B7E-12E8-4B70-B76D-0792D259BAFBQ58708857-0945BE7C-EE06-4455-8B3D-74A64F0D4848
P2860
Massive analysis of cDNA Ends (MACE) and miRNA expression profiling identifies proatherogenic pathways in chronic kidney disease
description
2013 nî lūn-bûn
@nan
2013年の論文
@ja
2013年学术文章
@wuu
2013年学术文章
@zh-cn
2013年学术文章
@zh-hans
2013年学术文章
@zh-my
2013年学术文章
@zh-sg
2013年學術文章
@yue
2013年學術文章
@zh
2013年學術文章
@zh-hant
name
Massive analysis of cDNA Ends ...... ways in chronic kidney disease
@en
Massive analysis of cDNA Ends
@nl
type
label
Massive analysis of cDNA Ends ...... ways in chronic kidney disease
@en
Massive analysis of cDNA Ends
@nl
prefLabel
Massive analysis of cDNA Ends ...... ways in chronic kidney disease
@en
Massive analysis of cDNA Ends
@nl
P2093
P2860
P356
P1433
P1476
Massive analysis of cDNA Ends ...... ways in chronic kidney disease
@en
P2093
Adam M Zawada
Björn Rotter
Danilo Fliser
Gunnar H Heine
Kyrill S Rogacev
Peter Winter
Sören Müller
P2860
P304
P356
10.4161/EPI.26931
P577
2013-11-01T00:00:00Z