Cargando…

Potential glioblastoma biomarkers identified by mass spectroscopy and iTRAQ labeling

Detalles Bibliográficos
Autores principales:	Feng, Ruili, Chen, Mingyu, Luo, Guanghong, Chen, Yanlu, Wang, Jiao, Xu, Jian, Xu, Ming, Zhong, Ping, Wen, Tieqiao
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Chongqing Medical University 2022
Materias:	Rapid Communication
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10363635/ https://www.ncbi.nlm.nih.gov/pubmed/37492715 http://dx.doi.org/10.1016/j.gendis.2022.11.010

Ejemplares similares

iTRAQ-based proteomic analysis of duck muscle related to lipid oxidation
por: Zhang, Muhan, et al.
Publicado: (2021)

Dcf1 induces glioblastoma cells apoptosis by blocking autophagy
por: Luo, Guanghong, et al.
Publicado: (2021)

A Proteomic Approach for Plasma Biomarker Discovery with iTRAQ Labelling and OFFGEL Fractionation
por: Ernoult, Emilie, et al.
Publicado: (2010)

Improved proteome coverage by using iTRAQ labelling and peptide OFFGEL fractionation
por: Ernoult, Emilie, et al.
Publicado: (2008)

Metabolic Peculiarities of Paracoccidioides brasiliensis Dimorphism as Demonstrated by iTRAQ Labeling Proteomics
por: Araújo, Danielle Silva, et al.
Publicado: (2019)

Identification of Urinary Biomarkers for Exercise-Induced Immunosuppression by iTRAQ Proteomics
por: Xu, Guoqin, et al.
Publicado: (2020)

iTRAQ-BASED Proteomic Analysis of the Mechanism of Fructose on Improving Fengycin Biosynthesis in Bacillus Amyloliquefaciens
por: Lu, Hedong, et al.
Publicado: (2021)

iTRAQ-Based and Label-Free Proteomics Approaches for Studies of Human Adenovirus Infections
por: Trinh, Hung V., et al.
Publicado: (2013)

Periostin identified as a potential biomarker of prostate cancer by iTRAQ-proteomics analysis of prostate biopsy
por: Sun, Chuanyu, et al.
Publicado: (2011)

Peptide Labeling with Isobaric Tags Yields Higher Identification Rates Using iTRAQ 4-Plex Compared to TMT 6-Plex and iTRAQ 8-Plex on LTQ Orbitrap
por: Pichler, Peter, et al.
Publicado: (2010)

Mechanistic Evaluation and Translational Signature of Gemcitabine-induced Chemoresistance by Quantitative Phosphoproteomics Analysis with iTRAQ Labeling Mass Spectrometry
por: Duan, Qingke, et al.
Publicado: (2017)

iTRAQ-based proteomics reveals novel biomarkers of osteoarthritis
por: Ikeda, Daiki, et al.
Publicado: (2013)

Plasma membrane proteomes of differentially matured dendritic cells identified by LC–MS/MS combined with iTRAQ labelling
por: Ferret-Bernard, Stéphanie, et al.
Publicado: (2012)

Potential tumor biomarkers identified in ovarian cyst fluid by quantitative proteomic analysis, iTRAQ
por: Kristjansdottir, Björg, et al.
Publicado: (2013)

Identification of novel biomarkers for neonatal hypoxic-ischemic encephalopathy using iTRAQ
por: Zhu, Yuanyuan, et al.
Publicado: (2020)

i-Tracker: For quantitative proteomics using iTRAQ™
por: Shadforth, Ian P, et al.
Publicado: (2005)

Preliminary quantitative proteomics analysis in chronic and latent Keshan disease by iTRAQ labeling approach
por: Sun, Yuxiao, et al.
Publicado: (2017)

Understanding Ovarian Cancer: iTRAQ-Based Proteomics for Biomarker Discovery
por: Swiatly, Agata, et al.
Publicado: (2018)

iTRAQ-Based Quantitative Proteomic Analysis of the Initiation of Head Regeneration in Planarians
por: Geng, Xiaofang, et al.
Publicado: (2015)

Differentially expressed proteins underlying childhood cortical dysplasia with epilepsy identified by iTRAQ proteomic profiling
por: Qin, Lu, et al.
Publicado: (2017)

Identification of CD14 as a potential biomarker of hepatocellular carcinoma using iTRAQ quantitative proteomics
por: Guo, Jiao, et al.
Publicado: (2017)

Proteomic analysis by iTRAQ-MRM of soybean resistance to Lamprosema Indicate
por: Zeng, Weiying, et al.
Publicado: (2017)

Genome-wide association, RNA-seq and iTRAQ analyses identify candidate genes controlling radicle length of wheat
por: Xu, Fengdan, et al.
Publicado: (2022)

Dendritic cell factor 1 inhibits proliferation and migration and induces apoptosis of neuroblastoma cells by inhibiting the ERK signaling pathway
por: Luo, Guanghong, et al.
Publicado: (2019)

Mass spectrometry–based relative quantification of proteins in precatalytic and catalytically active spliceosomes by metabolic labeling (SILAC), chemical labeling (iTRAQ), and label-free spectral count
por: Schmidt, Carla, et al.
Publicado: (2014)

Quantitative Proteomic Analysis of Human Embryonic Stem Cell Differentiation by 8-Plex iTRAQ Labelling
por: Jadaliha, Mahdieh, et al.
Publicado: (2012)

Comparative Analysis of Label-Free and 8-Plex iTRAQ Approach for Quantitative Tissue Proteomic Analysis
por: Latosinska, Agnieszka, et al.
Publicado: (2015)

Phospho-iTRAQ data article: Assessing isobaric labels for the large-scale study of phosphopeptide stoichiometry
por: Glibert, Pieter, et al.
Publicado: (2015)

iTRAQ-based quantitative proteomic analysis reveals alterations in the metabolism of Actinidia arguta
por: Lin, Miaomiao, et al.
Publicado: (2017)

A Pro-Atherogenic HDL Profile in Coronary Heart Disease Patients: An iTRAQ Labelling-Based Proteomic Approach
por: Yan, Li-rong, et al.
Publicado: (2014)

Proteins with Altered Levels in Plasma from Glioblastoma Patients as Revealed by iTRAQ-Based Quantitative Proteomic Analysis
por: Gautam, Poonam, et al.
Publicado: (2012)

iTRAQ-Based Proteomics Screen identifies LIPOCALIN-2 (LCN-2) as a potential biomarker for colonic lateral-spreading tumors
por: Wang, Xianfei, et al.
Publicado: (2016)

Comparative Proteomic Analysis of Buffalo Oocytes Matured in vitro Using iTRAQ Technique
por: Chen, Lingsheng, et al.
Publicado: (2016)

Quantitative Serum Proteomic Analysis of Essential Hypertension Using iTRAQ Technique
por: Xu, Jing-Wen, et al.
Publicado: (2017)

iTRAQ-based proteomic analysis to identify the molecular mechanism of Zhibai Dihuang Granule in the Yin-deficiency-heat syndrome rats
por: Liu, Chang-Ming, et al.
Publicado: (2018)

iTRAQ-Based Proteomics Reveals Novel Biomarkers for Idiopathic Pulmonary Fibrosis
por: Niu, Rui, et al.
Publicado: (2017)

Aberrant Mucin5B expression in lung adenocarcinomas detected by iTRAQ labeling quantitative proteomics and immunohistochemistry
por: Li, Yan, et al.
Publicado: (2013)

Optimization of Plasma Sample Pretreatment for Quantitative Analysis Using iTRAQ Labeling and LC-MALDI-TOF/TOF
por: Luczak, Magdalena, et al.
Publicado: (2014)

Correction: Comparative Analysis of Label-Free and 8-Plex iTRAQ Approach for Quantitative Tissue Proteomic Analysis
Publicado: (2015)

Study on Proteomics-Based Aortic Dissection Molecular Markers Using iTRAQ Combined With Label Free Techniques
por: Deng, Ting, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_frrj9v159infh8k8r4ee93flq2