iTRAQ and PRM-based quantitative proteomics in T2DM-susceptible and -tolerant models of Bama mini-pig

Yan, Xueyu; Wu, Yanjun; Zhong, Fangjie; Jiang, Qinyang; Zhou, Tingting; Guo, Yafen; Yang, Xiurong; Liang, Jing; Liao, D. Joshua; Lan, Ganqiu

doi:10.1016/j.gene.2018.06.103

Cited by 11 publications

(6 citation statements)

References 67 publications

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“…[31][32][33][34] High throughput transcriptome and proteome analysis can be very useful in the discovery of new biomarkers and pathways implicated in metabolic diseases. 35 Moreover, high throughput analyses aid in assessing the physiological effect that bioactive compounds exert on a wide variety of diseases such as diabetes, 36,37 obesity, 38 and cancer. 39,40 Hence, these tech-niques are useful to explore the mechanisms of action of nutrients and phytochemicals.…”

Section: Discussionmentioning

confidence: 99%

Identification and validation of common molecular targets of hydroxytyrosol

et al. 2019

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Section: Discussionmentioning

confidence: 99%

Identification and validation of common molecular targets of hydroxytyrosol

et al. 2019

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“…To assess the reliability of proteomic differential protein data, parallel reaction monitoring (PRM) was used to verify the differential proteins related to SCD1. PRM is a method used for the selective detection and quantification of target proteins and peptides using ion monitoring technology [41,42].…”

Section: Parallel Reaction Monitoring (Prm) Validationmentioning

confidence: 99%

Proteomics Insights into the Gene Network of cis9, trans11-Conjugated Linoleic Acid Biosynthesis in Bovine Mammary Gland Epithelial Cells

Peng

Bai

Wang

et al. 2022

Animals

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The objective of the study was to elucidate the stearoyl-coenzyme A desaturase (SCD1)-dependent gene network of c9, t11-CLA biosynthesis in MAC-T cells from an energy metabolism perspective. The cells were divided into the CAY group (firstly incubated with CAY10566, a chemical inhibitor of SCD1, then incubated with trans-11-octadecenoic acid, (TVA)), the TVA group (only TVA), and the control group (without CAY, TVA). The c9, t11-CLA, and TVA contents were determined by gas chromatography. The mRNA levels of SCD1 and candidate genes were analyzed via real-time PCR. Tandem mass tag (TMT)-based quantitative proteomics, bioinformatic analysis, parallel reaction monitoring (PRM), and small RNA interference were used to explore genes involved in the SCD1-dependent c9, t11-CLA biosynthesis. The results showed that the SCD1 deficiency led by CAY10566 blocked the biosynthesis of c9, t11-CLA. In total, 60 SCD1-related proteins mainly involved in energy metabolism pathways were primarily screened by TMT-based quantitative proteomics analysis. Moreover, 17 proteins were validated using PRM analysis. Then, 11 genes were verified to have negative relationships with SCD1 after the small RNA interference analysis. Based on the above results, we concluded that genes involved in energy metabolism pathways have an impact on the SCD1-dependent molecular mechanism of c9, t11-CLA biosynthesis.

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“…As an alternative method of targeted quantification, the PRM has been widely applied to validation of multiple proteins in complex sample (Yan et al, 2018;Wu et al, 2019;Zhang et al, 2021). In the current study, we further used the PRM-based approach to independently validate 54 dysregulated proteins of interest from the significantly enriched KEGG pathways and networks.…”

Section: Prm Analysis Of Cms-related Proteinsmentioning

confidence: 99%

Analysis of Chronic Mild Stress-Induced Hypothalamic Proteome: Identification of Protein Dysregulations Associated With Vulnerability and Resiliency to Depression or Anxiety

Gong

Liao

Fang³

et al. 2021

Front. Mol. Neurosci.

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Chronic stress as a known risk factor leads to hyperactivity of the hypothalamus-pituitary-adrenal (HPA) axis in both depression and anxiety. However, the stress-induced dysfunction of the HPA axis in these disorders especially the common and unique molecular dysregulations have not been well-explored. Previously, we utilized a chronic mild stress (CMS) paradigm to segregate and gain depression-susceptible, anxiety-susceptible, and insusceptible groups. In this study, we continue to examine the possible protein expression alterations of the hypothalamus as the center of the HPA axis in these three groups by using a proteomic approach. Though isobaric tags for relative and absolute quantitation (iTRAQ)-based quantitative analysis, a total of 593 dysregulated proteins were identified. These were potentially associated with vulnerability and adaptability of CMS-caused depression or anxiety and therefore might become novel investigative protein targets. Further independent analysis using parallel reaction monitoring (PRM) indicated that 5, 7, and 21 dysregulated proteins were specifically associated with depression-susceptible, anxiety-susceptible, and insusceptible groups, respectively, suggesting that the same CMS differently affected the regulation system of the rat hypothalamic proteome. In summary, the current proteomic research on the hypothalamus provided insights into the specific and common molecular basis for the HPA dysfunction mechanisms that underlie resiliency and vulnerability to stress-induced depression or anxiety.

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iTRAQ and PRM-based quantitative proteomics in T2DM-susceptible and -tolerant models of Bama mini-pig

Cited by 11 publications

References 67 publications

Identification and validation of common molecular targets of hydroxytyrosol

Identification and validation of common molecular targets of hydroxytyrosol

Proteomics Insights into the Gene Network of cis9, trans11-Conjugated Linoleic Acid Biosynthesis in Bovine Mammary Gland Epithelial Cells

Analysis of Chronic Mild Stress-Induced Hypothalamic Proteome: Identification of Protein Dysregulations Associated With Vulnerability and Resiliency to Depression or Anxiety

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