Cargando…

Urinary proteome profiling for children with autism using data-independent acquisition proteomics

BACKGROUND: Autism is a complex neurodevelopmental disorder. Objective and reliable biomarkers are crucial for the clinical diagnosis of autism. Urine can accumulate early changes of the whole body and is a sensitive source for disease biomarkers. METHODS: The data-independent acquisition (DIA) stra...

Descripción completa

Detalles Bibliográficos
Autores principales:	Meng, Wenshu, Huan, Yuhang, Gao, Youhe
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	AME Publishing Company 2021
Materias:	Original Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8349970/ https://www.ncbi.nlm.nih.gov/pubmed/34430425 http://dx.doi.org/10.21037/tp-21-193

Ejemplares similares

Dynamic Urinary Proteome Changes in Ovalbumin-Induced Asthma Mouse Model Using Data-Independent Acquisition Proteomics
por: Qin, Weiwei, et al.
Publicado: (2021)

Profiling tear proteomes of patients with unilateral relapsed Behcet’s disease-associated uveitis using data-independent acquisition proteomics
por: Liang, Anyi, et al.
Publicado: (2020)

Proteome Analysis of Urinary Biomarkers in a Bovine IRBP-Induced Uveitis Rat Model via Data-Independent Acquisition and Parallel Reaction Monitoring Proteomics
por: Qin, Weiwei, et al.
Publicado: (2022)

Changes to Urinary Proteome in High-Fat-Diet ApoE(−/−) Mice
por: Hua, Yuanrui, et al.
Publicado: (2022)

Changes in the urinary proteome in rats with regular swimming exercise
por: Meng, Wenshu, et al.
Publicado: (2021)

Dynamic urinary proteomic analysis in a Walker 256 intracerebral tumor model
por: Zhang, Linpei, et al.
Publicado: (2019)

Label-Free Liquid Chromatography–Mass Spectrometry Proteomic Analysis of the Urinary Proteome for Measuring the Escitalopram Treatment Response From Major Depressive Disorder
por: Huan, Yuhang, et al.
Publicado: (2021)

Urine proteome changes in rats subcutaneously inoculated with approximately ten tumor cells
por: Wei, Jing, et al.
Publicado: (2019)

Effects of Three Commonly-used Diuretics on the Urinary Proteome
por: Li, Xundou, et al.
Publicado: (2014)

Early urinary protein changes during tumor formation in a NuTu-19 tail vein injection rat model
por: Wei, Jing, et al.
Publicado: (2020)

Urinary Proteome Changes during Pregnancy in Rats
por: Tang, Shuxuan, et al.
Publicado: (2022)

Comparison of urine proteome among rat models by intraperitoneal injection with single bacteria and co-injection with two bacteria
por: Meng, Wenshu, et al.
Publicado: (2021)

Early urine proteome changes in the Walker-256 tail-vein injection rat model
por: Wei, Jing, et al.
Publicado: (2019)

Comprehensive Proteomic Profiling of Wheat Gluten Using a Combination of Data-Independent and Data-Dependent Acquisition
por: Bromilow, Sophie N. L., et al.
Publicado: (2017)

Use of Hybrid Data-Dependent and -Independent Acquisition Spectral Libraries Empowers Dual-Proteome Profiling
por: Willems, Patrick, et al.
Publicado: (2021)

Identification of a Non-Invasive Urinary Exosomal Biomarker for Diabetic Nephropathy Using Data-Independent Acquisition Proteomics
por: Ding, Xiaonan, et al.
Publicado: (2023)

Urinary biomarker discovery in gliomas using mass spectrometry-based clinical proteomics
por: Wu, Jianqiang, et al.
Publicado: (2020)

Characterization of proteome profile data of chemicals based on data-independent acquisition MS with SWATH method
por: Ishiguro, Hiromu, et al.
Publicado: (2023)

Technical advances in proteomics: new developments in data-independent acquisition
por: Hu, Alex, et al.
Publicado: (2016)

Enhanced differential expression statistics for data-independent acquisition proteomics
por: Suomi, Tomi, et al.
Publicado: (2017)

Urinary Proteome Analysis of Global Cerebral Ischemia–Reperfusion Injury Rat Model via Data-Independent Acquisition and Parallel Reaction Monitoring Proteomics
por: Sun, Xiaopeng, et al.
Publicado: (2022)

Changes of Development from Childhood to Late Adulthood in Rats Tracked by Urinary Proteome
por: Pan, Xuanzhen, et al.
Publicado: (2023)

Dear-DIA(XMBD): Deep Autoencoder Enables Deconvolution of Data-Independent Acquisition Proteomics
por: He, Qingzu, et al.
Publicado: (2023)

Strategies for consistent and automated quantification of HDL proteome using data-independent acquisition
por: Souza Junior, Douglas Ricardo, et al.
Publicado: (2023)

MSLibrarian: Optimized Predicted Spectral Libraries for Data-Independent Acquisition Proteomics
por: Isaksson, Marc, et al.
Publicado: (2022)

Comparative Proteome Signatures of Trace Samples by Multiplexed Data-Independent Acquisition
por: Ctortecka, Claudia, et al.
Publicado: (2021)

Proteome analysis of urinary biomarkers in a cigarette smoke-induced COPD rat model
por: Qin, Weiwei, et al.
Publicado: (2022)

Changes in the urinary proteome before and after quadrivalent influenza vaccine and COVID-19 vaccination
por: Pan, Xuanzhen, et al.
Publicado: (2022)

Evaluating the Performance of the Astral Mass Analyzer for Quantitative Proteomics Using Data Independent Acquisition
por: Heil, Lilian R., et al.
Publicado: (2023)

Evaluating the Performance of the Astral Mass Analyzer for Quantitative Proteomics Using Data-Independent Acquisition
por: Heil, Lilian R., et al.
Publicado: (2023)

A comprehensive analysis and annotation of human normal urinary proteome
por: Zhao, Mindi, et al.
Publicado: (2017)

The use of missing values in proteomic data-independent acquisition mass spectrometry to enable disease activity discrimination
por: McGurk, Kathryn A, et al.
Publicado: (2020)

Changes in the Urinary Proteome in a Patient-Derived Xenograft (PDX) Nude Mouse Model of Colorectal Tumor
por: Liu, Yongtao, et al.
Publicado: (2019)

Data‐independent acquisition‐based SWATH‐MS for quantitative proteomics: a tutorial
por: Ludwig, Christina, et al.
Publicado: (2018)

DIALib-QC an assessment tool for spectral libraries in data-independent acquisition proteomics
por: Midha, Mukul K., et al.
Publicado: (2020)

In silico spectral libraries by deep learning facilitate data-independent acquisition proteomics
por: Yang, Yi, et al.
Publicado: (2020)

Quantitative Proteomic Analysis of the Senescence‐Associated Secretory Phenotype by Data‐Independent Acquisition
por: Neri, Francesco, et al.
Publicado: (2021)

Optimized data-independent acquisition approach for proteomic analysis at single-cell level
por: Wang, Yuefan, et al.
Publicado: (2022)

Proteome Remodeling of the Eye Lens at 50 Years Identified With Data-Independent Acquisition
por: Cantrell, Lee S., et al.
Publicado: (2022)

Data Independent Acquisition Reveals In-Depth Serum Proteome Changes in Canine Leishmaniosis
por: Martinković, Franjo, et al.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_t5fj9j43jrt40vfuetdd4jurii