1.Application of proteomic techniques in pediatric research.
Wei-qin ZHOU ; Xiang-yong KONG ; Zhi-chun FENG
Chinese Journal of Pediatrics 2011;49(7):526-530
Child
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Humans
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Proteomics
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methods
2.Advances of chromatogram retention time alignment algorithms in proteomics.
Yi LIU ; Cheng CHANG ; Yunping ZHU
Chinese Journal of Biotechnology 2022;38(3):961-975
Chromatography is a basic process in the current proteomics workflow, and the retention time alignment of the chromatogram is one of the important steps to effectively improve the identification and quantification accuracy. After years of development, a series of algorithms for retention time alignment have been developed. This review summarizes the advances of chromatographic retention time alignment algorithms and tools for proteomics analysis from the perspective of proteomics users, and discusses the development and future application directions.
Algorithms
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Proteomics/methods*
3.Proteomics in nonalcoholic fatty liver research.
Xue-Qun ZHANG ; Ying JIANG ; You-Ming LI ; Fu-Chu HE
Chinese Journal of Hepatology 2006;14(10):798-800
Fatty Liver
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Humans
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Proteomics
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methods
4.Recent advance in high accuracy iTRAQ for quantitative proteomics.
Shouzhi MA ; Yulin SUN ; Xiaohang ZHAO ; Ping XU
Chinese Journal of Biotechnology 2014;30(7):1073-1082
Nowadays, proteomics focuses on quantitative analysis rather than qualitative. In the field of quantitative proteomics, Isobaric tags for relative and absolute quantitation (iTRAQ) is one of the most widely used techniques. The advantage of iTRAQ is high throughput, high stability and free of the restriction of sample property. iTRAQ is suitable for almost all kinds of samples, and up to 8 samples can be analyzed simultaneously by commercially available kit. Along with the development of techniques, more and more mass spectrometry (MS) platforms are used in iTRAQ experiments and the accuracy of iTRAQ has been improved. iTRAQ has been applied to studies of microorganism, animal, plant, medical and protein post-translational modification. Here we review the recent progress in the development of iTRAQ and its applications in quantitative proteomics.
Animals
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Humans
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Mass Spectrometry
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Proteomics
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methods
6.Research progress of transcriptomics and proteomics in schizophrenia.
Xin REN ; Shu Min TAN ; Jia Xiu LIU ; Fei Ling JIANG ; Xiao Bin WEI
Chinese Journal of Preventive Medicine 2023;57(10):1704-1710
Schizophrenia is a severe psychiatric disorder with an unclear etiology and various clinical manifestations. The diagnosis and consequent treatment of schizophrenia mainly rely on clinical symptoms. Multiple risk sites associated with schizophrenia have been identified, yet objective indicators have not been found to facilitate clinical diagnosis and treatment of schizophrenia. The development of omics technology provides different perspectives on the etiology of schizophrenia and make the early identification, diagnosis and treatment of the disorder possible. This article summarizes the prevalence of schizophrenia, reviews the research results and shortcomings of transcriptomics and proteomics, as well as the latest achievements and prospects of multi-omics, aiming to reveal the use of omics in SZ, provide more comprehensive biological evidence to reveal the complex pathogenesis of schizophrenia and provide a theoretical basis for the early identification, accurate diagnosis, disease progression control, and prognosis improvement of schizophrenia.
Humans
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Proteomics/methods*
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Transcriptome
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Schizophrenia/genetics*
7.Research progress of transcriptomics and proteomics in schizophrenia.
Xin REN ; Shu Min TAN ; Jia Xiu LIU ; Fei Ling JIANG ; Xiao Bin WEI
Chinese Journal of Preventive Medicine 2023;57(10):1704-1710
Schizophrenia is a severe psychiatric disorder with an unclear etiology and various clinical manifestations. The diagnosis and consequent treatment of schizophrenia mainly rely on clinical symptoms. Multiple risk sites associated with schizophrenia have been identified, yet objective indicators have not been found to facilitate clinical diagnosis and treatment of schizophrenia. The development of omics technology provides different perspectives on the etiology of schizophrenia and make the early identification, diagnosis and treatment of the disorder possible. This article summarizes the prevalence of schizophrenia, reviews the research results and shortcomings of transcriptomics and proteomics, as well as the latest achievements and prospects of multi-omics, aiming to reveal the use of omics in SZ, provide more comprehensive biological evidence to reveal the complex pathogenesis of schizophrenia and provide a theoretical basis for the early identification, accurate diagnosis, disease progression control, and prognosis improvement of schizophrenia.
Humans
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Proteomics/methods*
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Transcriptome
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Schizophrenia/genetics*
9.Multi-omics technology and its applications to life sciences: a review.
Jingfang LIU ; Weilin LI ; Li WANG ; Juan LI ; Erwei LI ; Yuanming LUO
Chinese Journal of Biotechnology 2022;38(10):3581-3593
With technological advances in high-throughput sequencing, high resolution mass-spectrometry, and multi-omics data integrative tools and data repositories, the omics research in life sciences are evolving from single-omics strategy to multi-omics strategy. The research of system biology driven by multi-omics will bring a new paradigm in life sciences. This paper briefly summarizes the development of genomics, epigenomics, transcriptomics, proteomics and metabolomics, highlights the composition and function of multi-omics platforms as well as the applications of multi-omics technology, and prospects future applications of multi-omics in synthetic biology and biomedicine.
Genomics
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Proteomics/methods*
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Metabolomics/methods*
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Epigenomics/methods*
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Technology
10.Principle of biological samples selection in comparative proteomics of silicosis.
Juan-juan CHEN ; Mao-ti WEI ; Shi-xin WANG
Chinese Journal of Industrial Hygiene and Occupational Diseases 2009;27(10):639-1 p following 640
Humans
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Proteomics
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methods
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Silicosis
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metabolism
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Specimen Handling
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methods