Oct 01 2013Read iTRAQ‐based quantitative proteomic analysis reveals new metabolic pathways of wheat seedling growth under hydrogen peroxide stress Proteomics on DeepDyve the largest online rental service for scholarly research with thousands of academic publications available at your fingertips Aug 11 2017An iTRAQ-based proteomic analysis reveals dysregulation of neocortical synaptopodin in Lewy body dementias Arnab Datta ORCID: orcid JE Li X Zhang H Ho ZS Heese K Lim SK Tam JP Sze SK Phenotyping of an in vitro model of ischemic penumbra by iTRAQ-based shotgun quantitative proteomics J Prot Res 2010 9(1):472–84

iTRAQ

Sep 06 2016The study aimed at detecting differentially expressed proteins in the stratum corneum of dandruff versus non-dandruff scalps to better understand dandruff aetiology iTRAQ-based quantitative proteomic analysis revealed a total of 68 differentially expressed biomarkers A detailed analysis of their known physiological functions provided new insights into the affected metabolic pathways of a

investigating the proteomic changes of each important inbred line should be the first step to investigate the mechanisms of drought tolerance in maize Here an iTRAQ-based quantitative strategy is employed to compare proteome profiles of an important maize inbred line B73 under the well-watered and water-withheld conditions

Aug 16 2019iTRAQ is one of the most advanced technology in modern quantitative proteomics [21 22] it combines stable isotope labeling with tandem mass spectrometry [23 24 25] to compare the relative amount of proteins from normal and diseased samples in a single experiment Wang WS et al [] revealed that myoferlin is a novel prognostic predictor in pancreatic adenocarcinoma through iTRAQ-based

Sep 06 2016The study aimed at detecting differentially expressed proteins in the stratum corneum of dandruff versus non-dandruff scalps to better understand dandruff aetiology iTRAQ-based quantitative proteomic analysis revealed a total of 68 differentially expressed biomarkers A detailed analysis of their known physiological functions provided new insights into the affected metabolic pathways of a

Jun 19 2018FGFR2 expression was confirmed by real-time quantitative PCR and immunoblot analysis respectively Cai T Wu B Tang X et al iTRAQ-Based Proteomic Analysis reveals possible target-related proteins and signal networks in human osteoblasts overexpressing FGFR2 Proteome Sci 16 12 (2018) https

iTRAQ

February iTRAQ-Based Quantitative Proteomic Analysis of Cotton Roots and Leaves Reveals Pathways Associated with Salt Stress Tingting Chen☯ 0 1 Lei Zhang☯ 0 1 Haihong Shang 0 1 Shaodong Liu 0 1 Jun Peng 0 1 Wankui Gong 0 1 Yuzhen Shi 0 1 Siping Zhang 0 1 Junwen Li 0 1 Juwu Gong 0 1 Qun Ge 0 1 Aiying Liu 0 1 Huijuan Ma 0 1 Xinhua Zhao 0 1 Youlu Yuan 0 1 0 State Key Laboratory of

Jan 21 2010Shunhua Wu Jing Li and Xiang Jin iTRAQ-based quantitative proteomic analysis reveals important metabolic pathways for arsenic-induced liver fibrosis in rats Scientific Reports 10 1038/s41598-018-21580-x 8 1 (2018)

Sep 01 2020iTRAQ-based quantitative proteomic analysis reveals the metabolic pathways of grain chalkiness in response to nitrogen topdressing in rice H Zhou C He J Liao Y HuangQuantitative iTRAQ-based proteomic analysis of rice grains to assess high night temperature stress Proteomics 17 (5) (2017) pp 1-12 10 1002/pmic 201600365 Google

Jul 30 2020The final concentrations of 7α 15α-diOH-DHEA significantly increased with the addition of 0 6% ethanol iTRAQ-based quantitative proteomic analysis was applied to explore the probable molecular mechanism of C lini CGMCC 6051 on DHEA hydroxylation with ethanol induction Results showed that several proteins were differentially regulated under

Jan 21 2010Shunhua Wu Jing Li and Xiang Jin iTRAQ-based quantitative proteomic analysis reveals important metabolic pathways for arsenic-induced liver fibrosis in rats Scientific Reports 10 1038/s41598-018-21580-x 8 1 (2018)

iTRAQ-based quantitative proteomic analysis of submandibular glands from rats with STZ-induced hyperglycemia Renato M P Alves 1 QOPNA Department of Chemistry University of Aveiro 3810-193 Aveiro Portugal and 2 CIAFEL Faculty of Sports University of Porto 4200-450 Porto Portugal

Here we applied iTRAQ coupled with 2D LC–MS/MS proteomic analysis to investigate the effect of meleagrin on the proteomic expression profile of cyprid development and aging in the barnacle Balanus amphitrite Fifty proteins were differentially expressed in response to treatment with meleagrin among which 26 proteins were associated with

Quantitative proteomics is an analytical chemistry technique for determining the amount of proteins in a sample The methods for protein identification are identical to those used in general (i e qualitative) proteomics but include quantification as an additional dimension Rather than just providing lists of proteins identified in a certain sample quantitative proteomics yields information

ITRAQ

J Hu Z Gao X Wang et al "iTRAQ-based quantitative proteomics reveals important host factors involved in the high pathogenicity of the H5N1 avian influenza virus in mice " Medical Microbiology and Immunology vol 206 no 2 pp 125–147 2017 View at: Publisher Site | Google Scholar

Clubroot disease is one of the major diseases affecting Brassica crops especially Chinese cabbage (Brassica rapa L ssp pekinensis) which is known to be highly susceptible to the disease In this study the obligate biotrophic protist Plasmodiophora brassicae Woronin was used to infect the roots of Chinese cabbage seedlings The disease symptoms were noticeable at 28 and 35 days after

Using iTRAQ-based proteomic analysis to identify DEPs in the brain tissues of rats receiving NMT we identified total of 3216 proteins of which 21 were differentially expressed following NMT administration GO analysis revealed that the 21 DEPs were localized

To reveal the cause of PCN production enhancement in P3 and find potential factors related to PCN biosynthesis an iTRAQ-based quantitative proteomic analysis was used to study the expression changes between the two strains Of the 452 differentially expressed proteins most were functionally mapped into PCN biosynthesis pathway or other

iTRAQ-based quantitative proteome analysis reveals metabolic changes between a cleistogamous wheat mutant and its wild-type wheat counterpart Caiguo Tang 1 2 Huilan Zhang 1 2 Pingping Zhang 3 Yuhan Ma 1 Minghui Cao 1 2 Hao Hu 1 2 Faheem Afzal Shah 1 Weiwei Zhao 1 Minghao Li 1 2 Lifang Wu 1

Citation: Zou Y Zhang M Qu J and Zhang J (2018) iTRAQ-Based Quantitative Proteomic Analysis Reveals Proteomic Changes in Mycelium of Pleurotus ostreatus in Response to Heat Stress and Subsequent Recovery Front Microbiol 9:2368 doi: 10 3389/fmicb 2018 02368 Received: 22 February 2018 Accepted: 14 September 2018 Published: 09 October 2018