Eight-channel iTRAQ enables comparison of the activity of six leukemogenic tyrosine kinases. - Test2 - elhamkhani - TriplyDB

Eight-channel iTRAQ enables comparison of the activity of six leukemogenic tyrosine kinases.

Eight-channel iTRAQ enables comparison of the activity of six leukemogenic tyrosine kinases.

http://www.wikidata.org/entity/Q40064488

about

Recent advances in quantitative neuroproteomics Dual targeting of p53 and c-MYC selectively eliminates leukaemic stem cells Targeted proteomics of isolated glomeruli from the kidneys of diabetic rats: sorbin and SH3 domain containing 2 is a novel protein associated with diabetic nephropathy.Quantitative proteomic analysis of histone modifications Comparative proteomic analysis of the shoot apical meristem in maize between a ZmCCT-associated near-isogenic line and its recurrent parent.Generation of a predicted protein database from EST data and application to iTRAQ analyses in grape (Vitis vinifera cv. Cabernet Sauvignon) berries at ripening initiation iQuantitator: a tool for protein expression inference using iTRAQ A gel-free quantitative proteomics analysis of factors released from hypoxic-conditioned placentae.Differential protein expression profiling by iTRAQ-two-dimensional LC-MS/MS of human bladder cancer EJ138 cells transfected with the metastasis suppressor KiSS-1 gene.A comparison of the accuracy of iTRAQ quantification by nLC-ESI MSMS and nLC-MALDI MSMS methods.Proteomic signatures in plasma during early acute renal allograft rejection Proteomic Differences between Developmental Stages of Toxoplasma gondii Revealed by iTRAQ-Based Quantitative Proteomics Identification of a putative chaperone involved in stress resistance and virulence in Francisella tularensis Relative quantification: characterization of bias, variability and fold changes in mass spectrometry data from iTRAQ-labeled peptides Serum proteomic changes in adults with obstructive sleep apnoea.Proteomics analysis reveals protein expression differences for hypopharyngeal gland activity in the honeybee, Apis mellifera carnica Pollmann.Characterization of the Rel2-regulated transcriptome and proteome of Anopheles stephensi identifies new anti-Plasmodium factors Identification of candidate biomarkers for early detection of human lung squamous cell cancer by quantitative proteomics.Proteomics: challenges, techniques and possibilities to overcome biological sample complexity Identification of nuclear protein targets for six leukemogenic tyrosine kinases governed by post-translational regulation.Temporal differential proteomes of Clostridium difficile in the pig ileal-ligated loop model A robust method for quantitative high-throughput analysis of proteomes by 18O labeling.Organelle membrane proteomics reveals differential influence of mycobacterial lipoglycans on macrophage phagosome maturation and autophagosome accumulation.Statistical methods for quantitative mass spectrometry proteomic experiments with labeling iTRAQ-based protein profiling provides insights into the central metabolism changes driving grape berry development and ripening.Liquid chromatography-mass spectrometry-based quantitative proteomics.Proteomic and metabolomic analyses provide insight into production of volatile and non-volatile flavor components in mandarin hybrid fruit.Detecting Significant Changes in Protein Abundance Proteomics analyses for the global proteins in the brain tissues of different human prion diseases.Differential proteome profiling using iTRAQ in microalbuminuric and normoalbuminuric type 2 diabetic patients Statistical considerations of optimal study design for human plasma proteomics and biomarker discovery Proteomic and Phosphoproteomic Insights into a Signaling Hub Role for Cdc14 in Asexual Development and Multiple Stress Responses in Beauveria bassiana.The use of variations in proteomes to predict, prevent, and personalize treatment for clinically nonfunctional pituitary adenomas Plasma membrane proteomes of differentially matured dendritic cells identified by LC-MS/MS combined with iTRAQ labelling.Proteomic analysis of acquired tamoxifen resistance in MCF-7 cells reveals expression signatures associated with enhanced migration.Differentially expressed proteins underlying childhood cortical dysplasia with epilepsy identified by iTRAQ proteomic profiling.Quantitative Proteomic Analysis Reveals Molecular Adaptations in the Hippocampal Synaptic Active Zone of Chronic Mild Stress-Unsusceptible Rats.Upregulation of plasma C9 protein in gastric cancer patients.ITIH3 is a potential biomarker for early detection of gastric cancer.Functional differentiation of Brassica napus guard cells and mesophyll cells revealed by comparative proteomics.

P2860

Q27000073-E07D5FA2-6B73-40F2-BF0D-7AD333730BEB Q28276260-DB35034B-C3F4-4866-9B83-E589F2CD811B Q30010221-B0583DD1-B8F1-4B07-A421-57134E48DF1E Q30375585-268B0650-3B34-4992-B604-AA3928C49FCC Q33363605-D888C3E5-311B-4595-B6B7-225F18B807F3 Q33403081-5E86CBFD-3D6C-4AA1-8529-FA13C744D38D Q33511043-BCCBA343-9BFD-402A-A571-EB85BA606296 Q33515798-A1AFAE48-46C8-4830-AD13-E9E4FFD0706F Q33530040-7E6E0A7C-380E-484A-AD06-2373B8E8F994 Q33540915-F5A91852-27BC-4827-B07B-37A4953BFA58 Q33587191-39CCE923-CD44-4EE7-96CF-0FD5462B02BE Q33753284-9C94E594-4189-42AD-88A2-1BBFCCB82348 Q33796270-4211719B-445A-41A0-BB95-CE0906CE4D64 Q33960605-D3B45A6C-C96C-4203-A034-DC77E3062F5B Q34020829-313DB90B-1004-4500-BBAD-AAA042AF7ECC Q34076676-549C213D-7A96-4936-8B7E-EA2A4FC28170 Q34084432-6EEFAAAD-CC56-43F7-9C2D-3D8034526E3B Q34148738-EEEDED33-BC13-464F-B77A-FC4740878760 Q34177041-3D14B756-2405-4F2A-AEA5-ECF2A434B9FE Q34321183-729BC4AE-59BF-49BD-B78C-0267D5E06BB3 Q34429581-5C70A9A9-69F7-4E68-A72F-0384AF30547C Q34454936-6EBAE2D3-CA60-4C47-B467-217CD673317F Q34477748-E15EE50B-4CA1-4C21-9070-3B125C85AB2A Q34486956-D0AB8946-B930-4823-A3C6-FCB1F32914A3 Q35024657-A1BAB595-D1F7-4E87-BFAA-30C966333460 Q35111036-4DC63EC6-B162-46E5-A0DD-39095611165F Q35166989-0E3AB1E3-A858-4D62-A603-BEFCA4F9D58D Q35215673-174B7B5B-87F7-4424-8C25-EB62A8A9E37D Q35325652-7EE8F0B0-85C5-4CD3-98F1-87B3A14E3599 Q35868599-3F1E1F34-0401-4D4B-B48D-15EE012B2BB7 Q35873957-F030206B-0E93-4F72-B876-8AF4D68F2BB8 Q35982714-483D69A6-57DF-4F27-957D-621D892F816C Q36117662-F1C00A37-BAC0-41BA-93BD-FAFF38881E25 Q36241024-D65488E1-64D3-4B45-821F-10541222AF2A Q36245528-AF670C05-62A3-420C-BF42-EBB16F79B766 Q36286208-F8709705-6CB1-4AEF-99EB-855D2E24E211 Q36634050-B1B0284E-6FC5-42B0-B1F0-F142425E88E4 Q37139908-CD7DDB81-F576-41DA-B7EF-C70B01BFF5A5 Q37139950-387F8349-74CA-4546-89A3-35BA8713CEFC Q37154468-B48AE288-B2B4-49EA-8232-2EB1EFE4C510

P2860

Eight-channel iTRAQ enables comparison of the activity of six leukemogenic tyrosine kinases.

http://www.wikidata.org/entity/Q40064488

description

2007 nî lūn-bûn

@nan

2007年の論文

@ja

2007年論文

@yue

2007年論文

@zh-hant

2007年論文

@zh-hk

2007年論文

@zh-mo

2007年論文

@zh-tw

2007年论文

@wuu

2007年论文

@zh

2007年论文

@zh-cn

name

Eight-channel iTRAQ enables co ...... leukemogenic tyrosine kinases.

@en

type

label

Eight-channel iTRAQ enables co ...... leukemogenic tyrosine kinases.

@en

prefLabel

Eight-channel iTRAQ enables co ...... leukemogenic tyrosine kinases.

@en

P1433

Q40064488-D5209BF7-8F3E-4C53-821D-321116C032CF

P1476

Q40064488-020CEF17-7036-48F4-92A0-DDC1D773CA57

P2093

Q40064488-02642402-B611-49DD-8B69-F4AC6DABB85B

Q40064488-088705A4-A9EB-427A-B111-1B33AC72C5D7

Q40064488-1B0398D9-8539-46CD-909E-76CC2EA29286

Q40064488-296A800B-6487-43AF-A6D3-CD9147C77CE7

Q40064488-3ACAD20E-AE4B-4505-B112-341AA408B57A

Q40064488-3D67E490-143D-472F-828D-218A025E31FF

Q40064488-6714D879-8279-47C8-89E7-C3594E4E08F1

Q40064488-85A2E550-F207-437F-A97E-32BE631EA7B0

Q40064488-D352337E-A4CC-4E63-A381-CCF08C36F7F7

Q40064488-DCC387D5-5085-4654-9496-3E54EFE77C58

P2860

Q40064488-034CFF55-EE3E-4DD3-9E7C-5FB250C4091B

Q40064488-05640F01-8AA1-4ACA-B791-634054627998

Q40064488-131585FD-8DC7-44FD-82DA-B67C102A2D31

Q40064488-1EA09C22-D437-47D3-922B-7F0CD34C493F

Q40064488-2C1F0FB2-2F5C-4293-A83E-30F425007B64

Q40064488-4AE6EDEF-3F84-4E9F-9A27-60116911860D

Q40064488-4CAD1EA4-8311-4F9D-99C7-DEFF34A5F287

Q40064488-51D75035-BC09-4B18-A414-0C5D44564117

Q40064488-57116EA3-672C-46F2-9672-F6DCDD38F3EE

Q40064488-58DC90C3-7F05-4E12-A37D-CCB67392E4D9

P304

Q40064488-466ACEF9-BA86-45F7-9155-3AE2059EA3FB

P31

Q40064488-66F84523-0663-4100-96F3-9BF80C4399B7

P356

Q40064488-4134F9FF-3679-4053-9891-556DD7EBD2B9

P433

Q40064488-0AA7D1ED-4BA6-404F-A6EF-05B9580D6735

P478

Q40064488-03478974-DC0F-4E11-9DEA-DE9A0B817345

P50

Q40064488-0FFD51D2-6265-4DCE-B124-39F3A4217208

Q40064488-2E3D8D00-A642-4F7B-9DDD-8D95DEF2BC5B

Q40064488-646C873D-9068-4B59-B6CB-75EBBB3FF892

Q40064488-F31037CA-A6D2-4CB7-AD23-F0384B83F403

P577

Q40064488-3A823BCE-F751-447F-9029-A6E3537D92D8

P698

Q40064488-2FC0713C-4FF9-4E64-A227-F33CEA468AE8

P356

MCP.M700251-MCP200

P1433

Molecular & Cellular Proteomics

P1476

Eight-channel iTRAQ enables co ...... leukemogenic tyrosine kinases.

@en

P2093

Caroline A Evans

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

Chia-Fang Lee

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

Danny A Bitton

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

David Blinco

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

Elaine Spooncer

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

Ewa Jaworska

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

Liqun Zhang

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

Louise Carney

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

Michal J Okoniewski

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

Stephen Griffiths

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

P2860

Bioconductor: open software development for computational biology and bioinformatics

Analysis of Relative Gene Expression Data Using Real-Time Quantitative PCR and the 2−ΔΔCT Method

A tyrosine kinase created by fusion of the PDGFRA and FIP1L1 genes as a therapeutic target of imatinib in idiopathic hypereosinophilic syndrome.

Summaries of Affymetrix GeneChip probe level data

Fusion of a kinase gene, ALK, to a nucleolar protein gene, NPM, in non-Hodgkin's lymphoma

Comparisons of CapG and gelsolin-null macrophages: demonstration of a unique role for CapG in receptor-mediated ruffling, phagocytosis, and vesicle rocketing

Multiplexed protein quantitation in Saccharomyces cerevisiae using amine-reactive isobaric tagging reagents

An annotation infrastructure for the analysis and interpretation of Affymetrix exon array data.

Ba/F3 cells and their use in kinase drug discovery.

P304

853-863

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

P31

scholarly article

P356

10.1074/MCP.M700251-MCP200

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

P433

5

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

P478

7

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

P50

Crispin J. Miller

Richard D. Unwin

Anthony D Whetton

P577

2007-10-21T00:00:00Z

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

P698

17951628

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