Quantitative proteomic analysis using isobaric protein tags enables rapid comparison of changes in transcript and protein levels in transformed cells.
about
Exoproteome of Staphylococcus aureus reveals putative determinants of nasal carriageA multiplexed proteomics approach to differentiate neurite outgrowth patternsSrc phosphorylation of RhoGDI2 regulates its metastasis suppressor function.Quantitative proteomic analysis of histone modificationsA statistical model for iTRAQ data analysisOptimized proteomic analysis of a mouse model of cerebellar dysfunction using amine-specific isobaric tags.Proteomics in renal research.Exon level integration of proteomics and microarray dataInvestigating the quantitative nature of MALDI-TOF MS.Enhanced interferon signaling pathway in oral cancer revealed by quantitative proteome analysis of microdissected specimens using 16O/18O labeling and integrated two-dimensional LC-ESI-MALDI tandem MSAn integrated mass-spectrometry pipeline identifies novel protein coding-regions in the human genomeComprehensive survey of p94/calpain 3 substrates by comparative proteomics--possible regulation of protein synthesis by p94.CD34⁺/CD38⁻ acute myelogenous leukemia cells aberrantly express CD82 which regulates adhesion and survival of leukemia stem cells.Ocular proteomics with emphasis on two-dimensional gel electrophoresis and mass spectrometry.Use of proteomics for the discovery of early markers of drug toxicity.THOC5 spliceosome protein: a target for leukaemogenic tyrosine kinases that affects inositol lipid turnover.The evolving field of imaging mass spectrometry and its impact on future biological research.Quantitative proteomic (iTRAQ) analysis of 1st trimester maternal plasma samples in pregnancies at risk for preeclampsiaBiomarker method validation in anticancer drug developmentA semi-quantitative GeLC-MS analysis of temporal proteome expression in the emerging nosocomial pathogen Ochrobactrum anthropi.A proteomic primer for the clinicianComparative time-dependent analysis of potential inflammation biomarkers in lymphoma-bearing SJL mice.Comparison of protein expression ratios observed by sixplex and duplex TMT labeling methodDynamics of protein secretion during adipocyte differentiationQuantitative proteomics characterization of a mouse embryonic stem cell model of Down syndrome.Functional differentiation of Brassica napus guard cells and mesophyll cells revealed by comparative proteomics.Proteomic approaches for studying alcoholism and alcohol-induced organ damageQuantitative proteomics analysis of maternal plasma in Down syndrome pregnancies using isobaric tagging reagent (iTRAQ)Mass spectrometry-based proteomics and its potential use in haematological research.Quantitative proteomics analysis demonstrates post-transcriptional regulation of embryonic stem cell differentiation to hematopoiesis.Quantitative proteomic analysis reveals maturation as a mechanism underlying glucocorticoid resistance in B lineage ALL and re-sensitization by JNK inhibition.Quantitative phosphoproteome analysis of embryonic stem cell differentiation toward bloodEight-channel iTRAQ enables comparison of the activity of six leukemogenic tyrosine kinases.Application of mass spectrometry to elucidate the pathophysiology of Encephalitozoon cuniculi infection in rabbits.Differential effect of leukaemogenic tyrosine kinases on cell motility is governed by subcellular localisation.The identification of potential factors associated with the development of type 2 diabetes: a quantitative proteomics approachProtein profiling of plasma membranes defines aberrant signaling pathways in mantle cell lymphoma.Addressing accuracy and precision issues in iTRAQ quantitation.The role of statistical power analysis in quantitative proteomics.Developmental fate determination and marker discovery in hematopoietic stem cell biology using proteomic fingerprinting.
P2860
Q24628406-8C50F264-DB71-4010-9392-A34A6C99B30EQ24641837-61F0903E-9786-46FD-AD8E-43B8960AF166Q24645336-6630CA79-72EB-42CC-950E-96FA206593BEQ30375585-865EC6B7-BA16-4B7E-8447-DC1D21A6FF14Q31160424-E74784C5-B5F5-4EE5-8492-B81053EE63A8Q33247931-F11946A6-08D2-4E30-8F8A-DB3865D40E47Q33263714-46C7BD30-B442-4851-A7F5-19FE67CC395BQ33321066-2F1A7403-1BCB-42A9-80A7-7ACD415C0A7DQ33354875-8E3476DD-AFCA-4067-B635-B15FF2E3FD92Q33419602-E0B1321A-C841-4926-B0A2-5D39456D4BF0Q33529076-511ACDF5-2EA5-4C3C-9239-DDBB88B54A03Q34298023-EC84232C-64C7-4039-AE86-B07617EF69B6Q34440437-932B5207-3CC7-42B4-9785-B1FB29161EDBQ34660202-020B1213-74F9-4521-AFFA-20301CA49037Q34698617-F40232E6-B5DB-427D-A80B-B54A56AC03C0Q34765282-B8F1373E-9FCA-4DC2-BBCF-A456E6D09C2DQ35828575-0BCDE141-DA9C-4CB2-8ED9-AB1E04DAA4FAQ35909762-3D3543E4-664B-4806-BA2E-FBC8FE012904Q36484621-B8169944-F97F-41C0-A675-686C3D2B9EA9Q36672398-CBF21EFB-74F4-4046-AF6B-8220B22D2325Q36698789-D6B40AEF-77C1-4950-BEA1-CFCA92D18D5AQ36867994-2FD98325-DF91-4124-97ED-F2F63CA22E2CQ37116117-32BE605B-84DA-48D6-9DFD-94B22FA5AE9BQ37148795-7E09C1BF-153E-4F47-982F-8E3094A16E34Q37154413-BC04656E-5365-4C87-9E1B-E668DDF0C43AQ37154468-9D489841-C637-4266-A332-642B750F8071Q37386482-3EC8F349-18FD-40A5-BF57-6532458EFC8FQ37414538-62EA1D48-8E34-471F-BF4D-95C79D7D46ADQ37633550-5725824A-860A-4EB6-85D4-60AA5EB211F7Q38514926-E40CB65E-977D-43B3-B67B-7E9897DCA361Q38840559-A13EFCAE-1DE5-470B-A36B-CDCA218C9F77Q38885106-219008A7-23D5-4334-84DD-B350E914CF52Q40064488-51D75035-BC09-4B18-A414-0C5D44564117Q40127827-4C378134-957A-483B-A02E-742365D6FCEDQ40286888-7446D7DF-E933-4F0F-804A-C52FE591B079Q41356232-69F155AA-3C11-412C-A389-0BF075A40674Q41971312-FBC30AE6-9E08-4517-8CCC-8692D456F70FQ42427843-8E6EDAEF-0EF5-4172-B162-33C4F9D4BAB0Q44923657-6F1DD21A-46D2-44FA-A05B-9FE71F751BFCQ46847296-FAEA71A0-FA84-4FEA-A471-F6B78D5A763A
P2860
Quantitative proteomic analysis using isobaric protein tags enables rapid comparison of changes in transcript and protein levels in transformed cells.
description
2005 nî lūn-bûn
@nan
2005年の論文
@ja
2005年学术文章
@wuu
2005年学术文章
@zh-cn
2005年学术文章
@zh-hans
2005年学术文章
@zh-my
2005年学术文章
@zh-sg
2005年學術文章
@yue
2005年學術文章
@zh
2005年學術文章
@zh-hant
name
Quantitative proteomic analysi ...... n levels in transformed cells.
@en
type
label
Quantitative proteomic analysi ...... n levels in transformed cells.
@en
prefLabel
Quantitative proteomic analysi ...... n levels in transformed cells.
@en
P2860
P50
P1476
Quantitative proteomic analysi ...... n levels in transformed cells.
@en
P2093
David W Sternberg
Rod B Watson
P2860
P304
P356
10.1074/MCP.M400193-MCP200
P577
2005-04-22T00:00:00Z